default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDXing Xie 0001
谢幸
Person information
- unicode name: 谢幸
- affiliation: Microsoft Research Asia, Beijing, China
Other persons with the same name
- Xing Xie — disambiguation page
- Xing Xie 0002 — Colorado State University, Fort Collins, CO, USA
- Xing Xie 0003 — Fudan University, Shanghai, China
- Xing Xie 0004
![[0000-0003-1596-9642]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1596-9642")
— Hunan University, HNU, Changsha, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j106]Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie:
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. IEEE Data Eng. Bull. 47(1): 48-62 (2024)- [j105]Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang:
Exploring Vision-Language Models for Imbalanced Learning. Int. J. Comput. Vis. 132(1): 224-237 (2024) - [j104]Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie:
PromptBench: A Unified Library for Evaluation of Large Language Models. J. Mach. Learn. Res. 25: 254:1-254:22 (2024) - [j103]Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie:
Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4534-4550 (2024) - [j102]Velma K. Lopez, Estee Y. Cramer, Robert Pagano, John M. Drake, Eamon B. O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O. Dalgic, Mary A. Ladd, Benjamin P. Linas, Peter P. Mueller, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson:
Challenges of COVID-19 Case Forecasting in the US, 2020-2021. PLoS Comput. Biol. 20(5): 1011200 (2024) - [j101]Xin Huang, Wenrui Wang, Jiayi Li, Leiguang Wang, Xing Xie:
A Stepwise Refining Image-Level Weakly Supervised Semantic Segmentation Method for Detecting Exposed Surface for Buildings (ESB) From Very High-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j100]Lilin Tu, Jiayi Li, Xin Huang, Jianya Gong, Xing Xie, Leiguang Wang:
S2HM2: A Spectral-Spatial Hierarchical Masked Modeling Framework for Self-Supervised Feature Learning and Classification of Large-Scale Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j99]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15(3): 39:1-39:45 (2024) - [j98]Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-Hung Chen, Ying Qiao, Qing He, Xing Xie:
Put Your Voice on Stage: Personalized Headline Generation for News Articles. ACM Trans. Knowl. Discov. Data 18(3): 54:1-54:20 (2024) - [j97]Jie Xu, Chaozhuo Li, Feiran Huang, Zhoujun Li, Xing Xie, Philip S. Yu:
Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13340-13353 (2024) - [j96]Yiqiang Chen, Wang Lu, Xin Qin, Jindong Wang, Xing Xie:
MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16671-16682 (2024) - [c368]Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie:
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. AAAI 2024: 8670-8678 - [c367]Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang:
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. ACL (1) 2024: 5967-5985 - [c366]Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu:
On the Vulnerability of Safety Alignment in Open-Access LLMs. ACL (Findings) 2024: 9236-9260 - [c365]Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo:
IRGen: Generative Modeling for Image Retrieval. ECCV (15) 2024: 21-41 - [c364]Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie:
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization. ECCV (54) 2024: 345-362 - [c363]Shitong Duan, Xiaoyuan Yi, Peng Zhang, Yan Liu, Zheng Liu, Tun Lu, Xing Xie, Ning Gu:
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization. EMNLP (Findings) 2024: 1012-1042 - [c362]Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj:
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. ICLR 2024 - [c361]Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu:
Denevil: towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning. ICLR 2024 - [c360]Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang:
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. ICLR 2024 - [c359]Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang:
Supervised Knowledge Makes Large Language Models Better In-context Learners. ICLR 2024 - [c358]Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang:
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. ICLR 2024 - [c357]Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie:
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks. ICLR 2024 - [c356]Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj:
A General Framework for Learning from Weak Supervision. ICML 2024 - [c355]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c354]Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie:
The Good, The Bad, and Why: Unveiling Emotions in Generative AI. ICML 2024 - [c353]Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie:
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents. ICML 2024 - [c352]Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie:
Dynamic Evaluation of Large Language Models by Meta Probing Agents. ICML 2024 - [c351]Xueting Zhang, Xin Huang, Jiayi Li, Jie Yang, Leiguang Wang, Xing Xie:
Enhancing Inter-Class Discrimination for Domain Adaptation of Change Detection. IGARSS 2024: 8513-8517 - [c350]Xinpeng Wang, Shitong Duan, Xiaoyuan Yi, Jing Yao, Shanlin Zhou, Zhihua Wei, Peng Zhang, Dongkuan Xu, Maosong Sun, Xing Xie:
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models. IJCAI 2024: 8308-8316 - [c349]Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie:
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. KDD 2024: 1530-1541 - [c348]Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Yue Zhang, Neil Gong, Xing Xie:
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. LAMPS@CCS 2024: 57-68 - [c347]Xingqi Wang, Xiaoyuan Yi, Xing Xie, Jia Jia:
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value Optimization. ACM Multimedia 2024: 3558-3567 - [c346]Jing Yao, Xiaoyuan Yi, Yifan Gong, Xiting Wang, Xing Xie:
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value. NAACL-HLT 2024: 8762-8785 - [c345]Wang Lu, Jindong Wang, Yidong Wang, Xing Xie:
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. SDM 2024: 244-252 - [c344]Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang:
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) 2024: 292-301 - [c343]Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie:
Aligning Language Models for Versatile Text-based Item Retrieval. WWW (Companion Volume) 2024: 935-938 - [c342]Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie:
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. WWW (Companion Volume) 2024: 1031-1034 - [c341]Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie:
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. WWW 2024: 3129-3138 - [c340]Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim:
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. WWW 2024: 4316-4327 - [e12]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14645, Springer 2024, ISBN 978-981-97-2241-9 [contents] - [e11]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14646, Springer 2024, ISBN 978-981-97-2252-5 [contents] - [e10]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14647, Springer 2024, ISBN 978-981-97-2261-7 [contents] - [e9]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14648, Springer 2024, ISBN 978-981-97-2240-2 [contents] - [e8]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14649, Springer 2024, ISBN 978-981-97-2264-8 [contents] - [e7]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14650, Springer 2024, ISBN 978-981-97-2265-5 [contents] - [i192]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i191]Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie:
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. CoRR abs/2401.06633 (2024) - [i190]Hao Chen, Bhiksha Raj, Xing Xie, Jindong Wang:
On Catastrophic Inheritance of Large Foundation Models. CoRR abs/2402.01909 (2024) - [i189]Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj:
A General Framework for Learning from Weak Supervision. CoRR abs/2402.01922 (2024) - [i188]Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie:
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization. CoRR abs/2402.03317 (2024) - [i187]Cheng Li, Mengzhou Chen, Jindong Wang, Sunayana Sitaram, Xing Xie:
CultureLLM: Incorporating Cultural Differences into Large Language Models. CoRR abs/2402.10946 (2024) - [i186]Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie:
DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents. CoRR abs/2402.14865 (2024) - [i185]Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang:
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. CoRR abs/2402.15043 (2024) - [i184]Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim:
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs. CoRR abs/2402.16240 (2024) - [i183]Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie:
Aligning Language Models for Versatile Text-based Item Retrieval. CoRR abs/2402.18899 (2024) - [i182]Xukun Liu, Zhiyuan Peng, Xiaoyuan Yi, Xing Xie, Lirong Xiang, Yuchen Liu, Dongkuan Xu:
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph. CoRR abs/2403.00839 (2024) - [i181]Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu:
Negating Negatives: Alignment without Human Positive Samples via Distributional Dispreference Optimization. CoRR abs/2403.03419 (2024) - [i180]Xinpeng Wang, Shitong Duan, Xiaoyuan Yi, Jing Yao, Shanlin Zhou, Zhihua Wei, Peng Zhang, Dongkuan Xu, Maosong Sun, Xing Xie:
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models. CoRR abs/2403.04204 (2024) - [i179]Zihan Luo, Xiran Song, Hong Huang, Jianxun Lian, Chenhao Zhang, Jinqi Jiang, Xing Xie:
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability. CoRR abs/2403.04483 (2024) - [i178]Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang:
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models. CoRR abs/2403.05266 (2024) - [i177]Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie:
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. CoRR abs/2403.06465 (2024) - [i176]Hao Chen, Jindong Wang, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj:
Learning with Noisy Foundation Models. CoRR abs/2403.06869 (2024) - [i175]Zhihao Xu, Ruixuan Huang, Xiting Wang, Fangzhao Wu, Jing Yao, Xing Xie:
Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector. CoRR abs/2404.12038 (2024) - [i174]Pablo Biedma, Xiaoyuan Yi, Linus Huang, Maosong Sun, Xing Xie:
Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches. CoRR abs/2404.12744 (2024) - [i173]Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang:
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR abs/2405.07526 (2024) - [i172]Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang:
CulturePark: Boosting Cross-cultural Understanding in Large Language Models. CoRR abs/2405.15145 (2024) - [i171]Shaohua Wang, Xing Xie, Yong Li, Danhuai Guo, Zhi Cai, Yu Liu, Yang Yue, Xiao Pan, Feng Lu, Huayi Wu, Zhipeng Gui, Zhiming Ding, Bolong Zheng, Fuzheng Zhang, Tao Qin, Jingyuan Wang, Chuang Tao, Zhengchao Chen, Hao Lu, Jiayi Li, Hongyang Chen, Peng Yue, Wenhao Yu, Yao Yao, Leilei Sun, Yong Zhang, Longbiao Chen, Xiaoping Du, Xiang Li, Xueying Zhang, Kun Qin, Zhaoya Gong, Weihua Dong, Xiaofeng Meng:
Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence. CoRR abs/2405.19730 (2024) - [i170]Han Jiang, Xiaoyuan Yi, Zhihua Wei, Shu Wang, Xing Xie:
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing. CoRR abs/2406.14230 (2024) - [i169]Yueqi Xie, Tao Qi, Jingwei Yi, Ryan Whalen, Junming Huang, Qian Ding, Yu Xie, Xing Xie, Fangzhao Wu:
Measuring Human Contribution in AI-Assisted Content Generation. CoRR abs/2408.14792 (2024) - [i168]Yan Liu, Xiaoyuan Yi, Xiaokang Chen, Jing Yao, Jingwei Yi, Daoguang Zan, Zheng Liu, Xing Xie, Tsung-Yi Ho:
Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment. CoRR abs/2409.19024 (2024) - [i167]Xingqi Wang, Xiaoyuan Yi, Xing Xie, Jia Jia:
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value Optimization. CoRR abs/2410.12700 (2024) - [i166]Luning Sun, Yuzhuo Yuan, Yuan Yao, Yanyan Li, Hao Zhang, Xing Xie, Xiting Wang, Fang Luo, David Stillwell:
Large Language Models show both individual and collective creativity comparable to humans. CoRR abs/2412.03151 (2024) - [i165]Lei Wang, Jianxun Lian, Yi Huang, Yanqi Dai, Haoxuan Li, Xu Chen, Xing Xie, Ji-Rong Wen:
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds. CoRR abs/2412.05631 (2024) - [i164]Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen:
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. CoRR abs/2412.12196 (2024) - 2023
- [j95]Wang Lu, Xixu Hu, Jindong Wang, Xing Xie:
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. IEEE Data Eng. Bull. 46(1): 52-66 (2023) - [j94]Yueqi Xie, Jingwei Yi, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, Fangzhao Wu:
Defending ChatGPT against jailbreak attack via self-reminders. Nat. Mac. Intell. 5(12): 1486-1496 (2023) - [j93]Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen:
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. ACM Trans. Intell. Syst. Technol. 14(2): 32:1-32:24 (2023) - [j92]Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen:
Network Representation Lightening From Hashing to Quantization. IEEE Trans. Knowl. Data Eng. 35(5): 5119-5131 (2023) - [j91]Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, Philip S. Yu:
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. IEEE Trans. Knowl. Data Eng. 35(10): 10166-10180 (2023) - [j90]Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. ACM Trans. Inf. Syst. 41(1): 8:1-8:27 (2023) - [j89]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Personalized News Recommendation: Methods and Challenges. ACM Trans. Inf. Syst. 41(1): 24:1-24:50 (2023) - [j88]Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu:
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. ACM Trans. Inf. Syst. 41(2): 43:1-43:27 (2023) - [c339]Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie:
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. AAAI 2023: 12968-12976 - [c338]Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie:
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion. ACL (1) 2023: 6335-6347 - [c337]Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie:
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. ACL (1) 2023: 7653-7668 - [c336]Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie:
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. ACL (1) 2023: 8760-8785 - [c335]Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang:
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. ACL (Findings) 2023: 12731-12750 - [c334]Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim:
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CIKM 2023: 976-986 - [c333]Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen:
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. CIKM 2023: 3257-3267 - [c332]Xinpeng Wang, Xiaoyuan Yi, Han Jiang, Shanlin Zhou, Zhihua Wei, Xing Xie:
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer. EMNLP 2023: 3508-3533 - [c331]Junhan Yang, Zheng Liu, Chaozhuo Li, Guangzhong Sun, Xing Xie:
Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval. EMNLP 2023: 3655-3665 - [c330]Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang:
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. ICCV 2023: 4401-4411 - [c329]Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. ICCV 2023: 4976-4985 - [c328]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. ICDE 2023: 3803-3804 - [c327]Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang:
Learning on Large-scale Text-attributed Graphs via Variational Inference. ICLR 2023 - [c326]Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides:
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning. ICLR 2023 - [c325]Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie:
Out-of-distribution Representation Learning for Time Series Classification. ICLR 2023 - [c324]Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie:
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. ICLR 2023 - [c323]Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie:
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization. ICLR 2023 - [c322]Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedSampling: A Better Sampling Strategy for Federated Learning. IJCAI 2023: 4154-4162 - [c321]Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie:
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation. IJCAI 2023: 5049-5057 - [c320]Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
FedDefender: Client-Side Attack-Tolerant Federated Learning. KDD 2023: 1850-1861 - [c319]Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen:
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. KDD 2023: 1943-1953 - [c318]Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen:
A Causality Inspired Framework for Model Interpretation. KDD 2023: 2731-2741 - [c317]Yifan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization for Domain Generalization. KDD 2023: 3409-3421 - [c316]Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie:
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. KDD 2023: 4461-4472 - [c315]Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang:
PASS: Personalized Advertiser-aware Sponsored Search. KDD 2023: 4924-4936 - [c314]Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie:
UA-FedRec: Untargeted Attack on Federated News Recommendation. KDD 2023: 5428-5438 - [c313]Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie:
Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. KDD 2023: 5827-5828 - [c312]Wang Lu, Jindong Wang, Yidong Wang, Xing Xie:
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. CDPD 2023: 75-97 - [c311]Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin:
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective. NeurIPS 2023 - [c310]Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang:
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs. NeurIPS 2023 - [c309]Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang:
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. NeurIPS 2023 - [c308]Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie:
Bayesian Active Causal Discovery with Multi-Fidelity Experiments. NeurIPS 2023 - [c307]Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui:
Model-enhanced Vector Index. NeurIPS 2023 - [c306]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. SIGIR 2023: 601-611 - [c305]Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong:
Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. SIGIR 2023: 1488-1497 - [c304]Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang:
Multi-Grained Topological Pre-Training of Language Models in Sponsored Search. SIGIR 2023: 2189-2193 - [c303]Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim:
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. WSDM 2023: 168-176 - [c302]Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie:
A Tutorial on Domain Generalization. WSDM 2023: 1236-1239 - [c301]Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin:
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. WWW 2023: 349-359 - [c300]SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu:
Distillation from Heterogeneous Models for Top-K Recommendation. WWW 2023: 801-811 - [c299]Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen:
Cooperative Retriever and Ranker in Deep Recommenders. WWW 2023: 1150-1161 - [c298]Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie:
Towards Explainable Collaborative Filtering with Taste Clusters Learning. WWW 2023: 3712-3722 - [c297]Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha:
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. WWW 2023: 3766-3774 - [i163]Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides:
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning. CoRR abs/2301.10921 (2023) - [i162]Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie:
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. CoRR abs/2302.12095 (2023) - [i161]Wang Lu, Xixu Hu, Jindong Wang, Xing Xie:
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. CoRR abs/2302.13485 (2023) - [i160]SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu:
Distillation from Heterogeneous Models for Top-K Recommendation. CoRR abs/2303.01130 (2023) - [i159]Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha:
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. CoRR abs/2303.08403 (2023) - [i158]Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Baining Guo:
IRGen: Generative Modeling for Image Retrieval. CoRR abs/2303.10126 (2023) - [i157]Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang:
Exploring Vision-Language Models for Imbalanced Learning. CoRR abs/2304.01457 (2023) - [i156]Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie:
Towards Explainable Collaborative Filtering with Taste Clusters Learning. CoRR abs/2304.13937 (2023) - [i155]Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie:
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. CoRR abs/2305.10036 (2023) - [i154]Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj:
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. CoRR abs/2305.12715 (2023) - [i153]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. CoRR abs/2305.13825 (2023) - [i152]Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie:
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion. CoRR abs/2305.14126 (2023) - [i151]Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie:
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. CoRR abs/2306.04528 (2023) - [i150]Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen:
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. CoRR abs/2306.04641 (2023) - [i149]Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang:
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR abs/2306.05087 (2023) - [i148]Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie:
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation. CoRR abs/2306.10414 (2023) - [i147]Hao Liao, Jiaohao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie:
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. CoRR abs/2306.13450 (2023) - [i146]Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedSampling: A Better Sampling Strategy for Federated Learning. CoRR abs/2306.14245 (2023) - [i145]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. CoRR abs/2307.03109 (2023) - [i144]Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
FedDefender: Client-Side Attack-Tolerant Federated Learning. CoRR abs/2307.09048 (2023) - [i143]Cheng Li, Jindong Wang, Kaijie Zhu, Yixuan Zhang, Wenxin Hou, Jianxun Lian, Xing Xie:
EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus. CoRR abs/2307.11760 (2023) - [i142]Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie:
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization. CoRR abs/2308.02282 (2023) - [i141]Juncheng Wang, Jindong Wang, Xixu Hu, Shujun Wang, Xing Xie:
Frustratingly Easy Model Generalization by Dummy Risk Minimization. CoRR abs/2308.02287 (2023) - [i140]Kaijie Zhu, Jindong Wang, Xixu Hu, Xing Xie, Ge Yang:
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. CoRR abs/2308.02533 (2023) - [i139]Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie:
ConvFormer: Revisiting Transformer for Sequential User Modeling. CoRR abs/2308.02925 (2023) - [i138]Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. CoRR abs/2308.09318 (2023) - [i137]Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang:
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. CoRR abs/2308.10632 (2023) - [i136]Jing Yao, Xiaoyuan Yi, Xiting Wang, Jindong Wang, Xing Xie:
From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models. CoRR abs/2308.12014 (2023) - [i135]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim:
Can Transformer and GNN Help Each Other? CoRR abs/2308.14355 (2023) - [i134]Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie:
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. CoRR abs/2308.16505 (2023) - [i133]Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui:
Model-enhanced Vector Index. CoRR abs/2309.13335 (2023) - [i132]Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj:
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. CoRR abs/2309.17002 (2023) - [i131]Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie:
DyVal: Graph-informed Dynamic Evaluation of Large Language Models. CoRR abs/2309.17167 (2023) - [i130]Yachuan Liu, Liang Chen, Jindong Wang, Qiaozhu Mei, Xing Xie:
Meta Semantic Template for Evaluation of Large Language Models. CoRR abs/2310.01448 (2023) - [i129]Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji:
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning. CoRR abs/2310.05143 (2023) - [i128]Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang:
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR abs/2310.07521 (2023) - [i127]Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu:
Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning. CoRR abs/2310.11053 (2023) - [i126]Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie:
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. CoRR abs/2310.13260 (2023) - [i125]Xiting Wang, Liming Jiang, José Hernández-Orallo, Luning Sun, David Stillwell, Fang Luo, Xing Xie:
Evaluating General-Purpose AI with Psychometrics. CoRR abs/2310.16379 (2023) - [i124]Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie:
CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents. CoRR abs/2310.17512 (2023) - [i123]Xiaoyuan Yi, Jing Yao, Xiting Wang, Xing Xie:
Unpacking the Ethical Value Alignment in Big Models. CoRR abs/2310.17551 (2023) - [i122]Jing Yao, Xiaoyuan Yi, Xiting Wang, Yifan Gong, Xing Xie:
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values. CoRR abs/2311.10766 (2023) - [i121]Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie:
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations. CoRR abs/2311.10779 (2023) - [i120]Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie:
RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability. CoRR abs/2311.10947 (2023) - [i119]Yuhang Wang, Yanxu Zhu, Chao Kong, Shuyu Wei, Xiaoyuan Yi, Xing Xie, Jitao Sang:
CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models. CoRR abs/2311.16421 (2023) - [i118]Jiyan He, Weitao Feng, Yaosen Min, Jingwei Yi, Kunsheng Tang, Shuai Li, Jie Zhang, Kejiang Chen, Wenbo Zhou, Xing Xie, Weiming Zhang, Nenghai Yu, Shuxin Zheng:
Control Risk for Potential Misuse of Artificial Intelligence in Science. CoRR abs/2312.06632 (2023) - [i117]Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie:
PromptBench: A Unified Library for Evaluation of Large Language Models. CoRR abs/2312.07910 (2023) - [i116]Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie:
The Good, The Bad, and Why: Unveiling Emotions in Generative AI. CoRR abs/2312.11111 (2023) - [i115]Xinpeng Wang, Xiaoyuan Yi, Han Jiang, Shanlin Zhou, Zhihua Wei, Xing Xie:
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer. CoRR abs/2312.11523 (2023) - [i114]Jingwei Yi, Yueqi Xie, Bin Zhu, Keegan Hines, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu:
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models. CoRR abs/2312.14197 (2023) - [i113]Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang:
Supervised Knowledge Makes Large Language Models Better In-context Learners. CoRR abs/2312.15918 (2023) - 2022
- [j87]Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie:
Graph convolution machine for context-aware recommender system. Frontiers Comput. Sci. 16(6): 166614 (2022) - [j86]Jun-Rui Wang, Xing Xie, Yu-Chi Chen:
A Generic Construction of Designated Verifier Signature from Standard Cryptographic Algorithms. J. Inf. Sci. Eng. 38(5): 1051-1063 (2022) - [j85]Matthias Renz, Mohamed Sarwat, Mario A. Nascimento, Shashi Shekhar, Xing Xie:
Conference Report: The 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022) Seattle, Washington, USA November 1-4, 2022. ACM SIGSPATIAL Special 14(1): 2-6 (2022) - [j84]Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data. ACM Trans. Intell. Syst. Technol. 13(4): 62:1-62:19 (2022) - [j83]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(8): 3549-3568 (2022) - [j82]Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie:
Domain-invariant Feature Exploration for Domain Generalization. Trans. Mach. Learn. Res. 2022 (2022) - [c296]Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie:
Towards Fine-Grained Reasoning for Fake News Detection. AAAI 2022: 5746-5754 - [c295]Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim:
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CIKM 2022: 624-634 - [c294]Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue:
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. CIKM 2022: 2806-2816 - [c293]Danyang Liu, Yuji Yang, Mengdi Zhang, Wei Wu, Xing Xie, Guangzhong Sun:
Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates. CIKM 2022: 3322-3331 - [c292]Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha:
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. ECCV (30) 2022: 691-707 - [c291]Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu:
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. EMNLP (Findings) 2022: 2939-2951 - [c290]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie:
Effective and Efficient Query-aware Snippet Extraction for Web Search. EMNLP 2022: 3035-3046 - [c289]Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie:
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation. EMNLP (Findings) 2022: 6306-6320 - [c288]Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie:
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction. EMNLP 2022: 8870-8883 - [c287]Wenhao Li, Xiaoyuan Yi, Jinyi Hu, Maosong Sun, Xing Xie:
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention. EMNLP 2022: 10834-10858 - [c286]Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang:
HousE: Knowledge Graph Embedding with Householder Parameterization. ICML 2022: 13209-13224 - [c285]Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie:
Clickbait Detection via Contrastive Variational Modelling of Text and Label. IJCAI 2022: 4475-4481 - [c284]Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie:
Reinforcement Subgraph Reasoning for Fake News Detection. KDD 2022: 2253-2262 - [c283]Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan:
Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora. KDD 2022: 2721-2731 - [c282]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. KDD 2022: 3398-3406 - [c281]Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang:
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads. KDD 2022: 3713-3721 - [c280]Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie:
Friend Recommendations with Self-Rescaling Graph Neural Networks. KDD 2022: 3909-3919 - [c279]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. KDD 2022: 4164-4172 - [c278]Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie:
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. KDD 2022: 4215-4225 - [c277]Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie:
Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. KDD 2022: 4493-4501 - [c276]Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie:
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation. NAACL-HLT 2022: 697-716 - [c275]Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha:
Self-explaining deep models with logic rule reasoning. NeurIPS 2022 - [c274]Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie:
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. NeurIPS 2022 - [c273]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS 2022 - [c272]Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang:
A Neural Corpus Indexer for Document Retrieval. NeurIPS 2022 - [c271]Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang:
Localized Graph Collaborative Filtering. SDM 2022: 540-548 - [c270]Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang:
Geometric Disentangled Collaborative Filtering. SIGIR 2022: 80-90 - [c269]Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen:
Forest-based Deep Recommender. SIGIR 2022: 523-532 - [c268]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. SIGIR 2022: 1164-1173 - [c267]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie:
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. SIGIR 2022: 1513-1523 - [c266]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie:
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. SIGIR 2022: 1599-1610 - [c265]Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie:
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks. WSDM 2022: 638-647 - [c264]Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie:
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. WSDM 2022: 947-956 - [c263]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie:
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. WWW 2022: 286-296 - [c262]Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li:
MINDSim: User Simulator for News Recommenders. WWW 2022: 2067-2077 - [c261]Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie:
FeedRec: News Feed Recommendation with Various User Feedbacks. WWW 2022: 2088-2097 - [c260]Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie:
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. WWW 2022: 2098-2108 - [i112]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang:
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. CoRR abs/2201.05409 (2022) - [i111]Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. CoRR abs/2201.09290 (2022) - [i110]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. CoRR abs/2202.04975 (2022) - [i109]Chuhan Wu, Fangzhao Wu, Tao Qi, Yanlin Wang, Yuqing Yang, Yongfeng Huang, Xing Xie:
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction. CoRR abs/2202.05139 (2022) - [i108]Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie:
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. CoRR abs/2202.06212 (2022) - [i107]Jingwei Yi, Fangzhao Wu, Bin Zhu, Yang Yu, Chao Zhang, Guangzhong Sun, Xing Xie:
UA-FedRec: Untargeted Attack on Federated News Recommendation. CoRR abs/2202.06701 (2022) - [i106]Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang:
HousE: Knowledge Graph Embedding with Householder Parameterization. CoRR abs/2202.07919 (2022) - [i105]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. CoRR abs/2202.08036 (2022) - [i104]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. CoRR abs/2202.12024 (2022) - [i103]Junhan Yang, Zheng Liu, Shitao Xiao, Jianxun Lian, Lijun Wu, Defu Lian, Guangzhong Sun, Xing Xie:
A Mutually Reinforced Framework for Pretrained Sentence Embeddings. CoRR abs/2202.13802 (2022) - [i102]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie:
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. CoRR abs/2204.00185 (2022) - [i101]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. CoRR abs/2204.04724 (2022) - [i100]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie:
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR abs/2204.08146 (2022) - [i99]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation. CoRR abs/2204.09850 (2022) - [i98]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie:
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. CoRR abs/2205.10775 (2022) - [i97]Jingwei Yi, Fangzhao Wu, Huishuai Zhang, Bin Zhu, Tao Qi, Guangzhong Sun, Xing Xie:
Robust Quantity-Aware Aggregation for Federated Learning. CoRR abs/2205.10848 (2022) - [i96]Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen:
Negative Sampling for Contrastive Representation Learning: A Review. CoRR abs/2206.00212 (2022) - [i95]Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang:
A Neural Corpus Indexer for Document Retrieval. CoRR abs/2206.02743 (2022) - [i94]Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie:
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. CoRR abs/2206.03200 (2022) - [i93]Yiqiang Chen, Wang Lu, Xin Qin, Jindong Wang, Xing Xie:
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare. CoRR abs/2206.08516 (2022) - [i92]Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim:
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CoRR abs/2206.12779 (2022) - [i91]Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim:
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. CoRR abs/2206.12781 (2022) - [i90]Mengyan Zhang, Thanh Nguyen-Tang, Fangzhao Wu, Zhenyu He, Xing Xie, Cheng Soon Ong:
Two-Stage Neural Contextual Bandits for Personalised News Recommendation. CoRR abs/2206.14648 (2022) - [i89]Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen:
Cooperative Retriever and Ranker in Deep Recommenders. CoRR abs/2206.14649 (2022) - [i88]Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie:
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation. CoRR abs/2207.06130 (2022) - [i87]Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha:
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. CoRR abs/2207.09158 (2022) - [i86]Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie:
Domain-invariant Feature Exploration for Domain Generalization. CoRR abs/2207.12020 (2022) - [i85]Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie:
Geometric Interaction Augmented Graph Collaborative Filtering. CoRR abs/2208.01250 (2022) - [i84]Yivan Zhang, Jindong Wang, Xing Xie, Masashi Sugiyama:
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift. CoRR abs/2208.02011 (2022) - [i83]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark. CoRR abs/2208.07204 (2022) - [i82]Yifan Zhang, Jindong Wang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization. CoRR abs/2208.08661 (2022) - [i81]Wang Lu, Jindong Wang, Yidong Wang, Kan Ren, Yiqiang Chen, Xing Xie:
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. CoRR abs/2209.00652 (2022) - [i80]Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie:
Out-of-Distribution Representation Learning for Time Series Classification. CoRR abs/2209.07027 (2022) - [i79]Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie:
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization. CoRR abs/2210.04492 (2022) - [i78]SeungEon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha:
Self-explaining deep models with logic rule reasoning. CoRR abs/2210.07024 (2022) - [i77]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie:
Effective and Efficient Query-aware Snippet Extraction for Web Search. CoRR abs/2210.08809 (2022) - [i76]Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie:
Test-Time Training for Graph Neural Networks. CoRR abs/2210.08813 (2022) - [i75]Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie:
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction. CoRR abs/2210.09926 (2022) - [i74]Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie:
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation. CoRR abs/2210.12409 (2022) - [i73]Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang:
Learning on Large-scale Text-attributed Graphs via Variational Inference. CoRR abs/2210.14709 (2022) - [i72]Wang Lu, Jindong Wang, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie:
FIXED: Frustratingly Easy Domain Generalization with Mixup. CoRR abs/2211.05228 (2022) - [i71]Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim:
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization. CoRR abs/2211.05554 (2022) - [i70]Wenhao Li, Xiaoyuan Yi, Jinyi Hu, Maosong Sun, Xing Xie:
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention. CoRR abs/2211.07164 (2022) - [i69]Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang:
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective. CoRR abs/2211.08073 (2022) - [i68]Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie:
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes. CoRR abs/2211.13638 (2022) - [i67]Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen:
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. CoRR abs/2211.17171 (2022) - [i66]Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie:
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. CoRR abs/2212.08724 (2022) - [i65]Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu:
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. CoRR abs/2212.10843 (2022) - 2021
- [j81]Yao Wu, Yu Song, Hong Huang, Fanghua Ye, Xing Xie, Hai Jin:
Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification. Knowl. Based Syst. 220: 106884 (2021) - [j80]Shunsuke Aoki, Kaoru Sezaki, Nicholas Jing Yuan, Xing Xie:
BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories. IEEE Trans. Big Data 7(2): 371-382 (2021) - [j79]Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin:
Multi-Stage Network Embedding for Exploring Heterogeneous Edges. ACM Trans. Knowl. Discov. Data 15(1): 5:1-5:27 (2021) - [j78]Defu Lian, Xing Xie, Enhong Chen:
Discrete Matrix Factorization and Extension for Fast Item Recommendation. IEEE Trans. Knowl. Data Eng. 33(5): 1919-1933 (2021) - [j77]Hongwei Wang, Jialin Wang, Jia Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Wenjie Li, Xing Xie, Minyi Guo:
Learning Graph Representation With Generative Adversarial Nets. IEEE Trans. Knowl. Data Eng. 33(8): 3090-3103 (2021) - [j76]Defu Lian, Xing Xie, Enhong Chen, Hui Xiong:
Product Quantized Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 33(9): 3284-3296 (2021) - [j75]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu:
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3781-3795 (2021) - [c259]Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI 2021: 4462-4469 - [c258]Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie:
PENS: A Dataset and Generic Framework for Personalized News Headline Generation. ACL/IJCNLP (1) 2021: 82-92 - [c257]Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang:
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. ACL/IJCNLP (1) 2021: 5446-5456 - [c256]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. EMNLP (Findings) 2021: 1438-1448 - [c255]Shuxian Bi, Chaozhuo Li, Xiao Han, Zheng Liu, Xing Xie, Haizhen Huang, Zengxuan Wen:
Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search. EMNLP (Findings) 2021: 2215-2224 - [c254]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie:
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. EMNLP (1) 2021: 2814-2824 - [c253]Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie:
Matching-oriented Embedding Quantization For Ad-hoc Retrieval. EMNLP (1) 2021: 8119-8129 - [c252]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. IJCAI 2021: 1624-1630 - [c251]Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie:
Learning Groupwise Explanations for Black-Box Models. IJCAI 2021: 2396-2402 - [c250]Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie:
Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. KDD 2021: 1055-1065 - [c249]Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie:
Reinforcing Pretrained Models for Generating Attractive Text Advertisements. KDD 2021: 3697-3707 - [c248]Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie:
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph. NeurIPS 2021: 28798-28810 - [c247]Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang:
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. SIGIR 2021: 223-232 - [c246]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. SIGIR 2021: 726-735 - [c245]Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen:
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. SIGIR 2021: 1733-1737 - [c244]Ruijia Wang, Shuai Mou, Xiao Wang, Wanpeng Xiao, Qi Ju, Chuan Shi, Xing Xie:
Graph Structure Estimation Neural Networks. WWW 2021: 342-353 - [e6]Xiaofeng Meng, Fusheng Wang, Chang-Tien Lu, Yan Huang, Shashi Shekhar, Xing Xie:
SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, Virtual Event / Beijing, China, November 2-5, 2021. ACM 2021, ISBN 978-1-4503-8664-7 [contents] - [e5]Xiaofeng Meng, Xing Xie, Yang Yue, Zhiming Ding:
Spatial Data and Intelligence - First International Conference, SpatialDI 2020, Virtual Event, May 8-9, 2020, Proceedings. Lecture Notes in Computer Science 12567, Springer 2021, ISBN 978-3-030-69872-0 [contents] - [i64]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Negative Feedback. CoRR abs/2101.04328 (2021) - [i63]Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie:
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. CoRR abs/2102.04925 (2021) - [i62]Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie:
Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations. CoRR abs/2102.09211 (2021) - [i61]Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie:
Training Microsoft News Recommenders with Pretrained Language Models in the Loop. CoRR abs/2102.09268 (2021) - [i60]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Qifei Li, Guangzhong Sun, Xing Xie:
DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation. CoRR abs/2104.07360 (2021) - [i59]Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie:
Search-oriented Differentiable Product Quantization. CoRR abs/2104.07858 (2021) - [i58]Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie:
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks. CoRR abs/2104.10925 (2021) - [i57]Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang:
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. CoRR abs/2104.12080 (2021) - [i56]Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Guangzhong Sun, Xing Xie:
GraphFormers: GNN-nested Language Models for Linked Text Representation. CoRR abs/2105.02605 (2021) - [i55]Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang:
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. CoRR abs/2106.04408 (2021) - [i54]Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie:
Localized Graph Collaborative Filtering. CoRR abs/2108.04475 (2021) - [i53]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Fastformer: Additive Attention Can Be All You Need. CoRR abs/2108.09084 (2021) - [i52]Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedKD: Communication Efficient Federated Learning via Knowledge Distillation. CoRR abs/2108.13323 (2021) - [i51]Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Xing Xie:
UserBERT: Contrastive User Model Pre-training. CoRR abs/2109.01274 (2021) - [i50]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. CoRR abs/2109.05236 (2021) - [i49]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie:
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. CoRR abs/2109.05446 (2021) - [i48]Yu Song, Jianxun Lian, Shuai Sun, Hong Huang, Yu Li, Hai Jin, Xing Xie:
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. CoRR abs/2110.09905 (2021) - [i47]Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin:
Multi-Stage Network Embedding for Exploring Heterogeneous Edges. CoRR abs/2110.10347 (2021) - [i46]Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye:
Gophormer: Ego-Graph Transformer for Node Classification. CoRR abs/2110.13094 (2021) - [i45]Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie:
Towards Fine-Grained Reasoning for Fake News Detection. CoRR abs/2110.15064 (2021) - [i44]Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu:
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. CoRR abs/2112.07191 (2021) - [i43]Chaozhuo Li, Senzhang Wang, Zheng Liu, Xing Xie, Lei Chen, Philip S. Yu:
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. CoRR abs/2112.07373 (2021) - 2020
- [j74]Bin Guo, Xing Xie, Lina Yao, Yong Li, Xia Hu:
Correction to: Special issue on recommender system. CCF Trans. Pervasive Comput. Interact. 2(1): 78 (2020) - [j73]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Neural news recommendation with negative feedback. CCF Trans. Pervasive Comput. Interact. 2(3): 178-188 (2020) - [j72]Fuzhen Zhuang, Ying-Min Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong:
Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. J. Comput. Sci. Technol. 35(2): 305-319 (2020) - [j71]Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie:
Detecting Entities of Works for Chinese Chatbot. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(6): 88:1-88:13 (2020) - [j70]Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang:
A Hierarchical Attention Model for Social Contextual Image Recommendation. IEEE Trans. Knowl. Data Eng. 32(10): 1854-1867 (2020) - [c243]Heyuan Wang, Fangzhao Wu, Zheng Liu, Xing Xie:
Fine-grained Interest Matching for Neural News Recommendation. ACL 2020: 836-845 - [c242]Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou:
MIND: A Large-scale Dataset for News Recommendation. ACL 2020: 3597-3606 - [c241]Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou:
Graph Neural News Recommendation with Unsupervised Preference Disentanglement. ACL 2020: 4255-4264 - [c240]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Privacy-Preserving News Recommendation Model Learning. EMNLP (Findings) 2020: 1423-1432 - [c239]Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie:
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. EMNLP (Findings) 2020: 1939-1944 - [c238]Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen:
Towards Explainable Conversational Recommendation. IJCAI 2020: 2994-3000 - [c237]Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen:
Geography-Aware Sequential Location Recommendation. KDD 2020: 2009-2019 - [c236]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. NeurIPS 2020 - [c235]Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie:
KRED: Knowledge-Aware Document Representation for News Recommendations. RecSys 2020: 200-209 - [c234]Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie:
Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. SIGIR 2020: 239-248 - [c233]Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie:
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. SIGIR 2020: 289-298 - [c232]Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie:
LightRec: A Memory and Search-Efficient Recommender System. WWW 2020: 695-705 - [i42]Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang:
Graph Convolution Machine for Context-aware Recommender System. CoRR abs/2001.11402 (2020) - [i41]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. CoRR abs/2003.00911 (2020) - [i40]Suyu Ge, Fangzhao Wu, Chuhan Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning. CoRR abs/2003.09288 (2020) - [i39]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Privacy-Preserving News Recommendation Model Training via Federated Learning. CoRR abs/2003.09592 (2020) - [i38]Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
Fairness-aware News Recommendation with Decomposed Adversarial Learning. CoRR abs/2006.16742 (2020) - [i37]Chuhan Wu, Fangzhao Wu, Tao Di, Yongfeng Huang, Xing Xie:
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data. CoRR abs/2007.12135 (2020) - [i36]Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie:
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. CoRR abs/2010.01494 (2020) - [i35]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. CoRR abs/2010.10783 (2020) - [i34]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. CoRR abs/2011.00956 (2020) - [i33]Hao Liao, Qi-Xin Liu, Kai Shu, Xing Xie:
Incorporating User-Comment Graph for Fake News Detection. CoRR abs/2011.01579 (2020)
2010 – 2019
- 2019
- [j69]Bin Guo, Xing Xie, Lina Yao, Yong Li, Cecilia Mascolo, Xia Hu:
Special issue on recommender system. CCF Trans. Pervasive Comput. Interact. 1(4): 237-239 (2019) - [j68]Suyu Ge, Tao Qi, Chuhan Wu, Fangzhao Wu, Xing Xie, Yongfeng Huang:
Helpfulness-aware review based neural recommendation. CCF Trans. Pervasive Comput. Interact. 1(4): 285-295 (2019) - [j67]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese word segmentation with dictionary. Neurocomputing 338: 46-54 (2019) - [j66]Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Zhongxia Chen, Xing Xie, Xueming Qian:
Personalized Reason Generation for Explainable Song Recommendation. ACM Trans. Intell. Syst. Technol. 10(4): 41:1-41:21 (2019) - [j65]Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo:
Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems. ACM Trans. Inf. Syst. 37(3): 32:1-32:26 (2019) - [c231]Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan:
Session-Based Recommendation with Graph Neural Networks. AAAI 2019: 346-353 - [c230]Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie:
Explainable Recommendation through Attentive Multi-View Learning. AAAI 2019: 3622-3629 - [c229]Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie:
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. AAAI 2019: 7442-7449 - [c228]Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie:
Neural News Recommendation with Long- and Short-term User Representations. ACL (1) 2019: 336-345 - [c227]Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Topic-Aware News Representation. ACL (1) 2019: 1154-1159 - [c226]Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang:
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction. ACL (1) 2019: 3538-3547 - [c225]Tao Qi, Chuhan Wu, Fangzhao Wu, Suyu Ge, Junxin Liu, Yongfeng Huang, Xing Xie:
Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention. CCKS 2019: 98-110 - [c224]Danyang Liu, Ting Bai, Jianxun Lian, Xin Zhao, Guangzhong Sun, Ji-Rong Wen, Xing Xie:
News Graph: An Enhanced Knowledge Graph for News Recommendation. KaRS@CIKM 2019: 1-7 - [c223]Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie:
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation. CIKM 2019: 529-538 - [c222]Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie:
Sentiment Lexicon Enhanced Neural Sentiment Classification. CIKM 2019: 1091-1100 - [c221]Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie:
ARP: Aspect-aware Neural Review Rating Prediction. CIKM 2019: 2169-2172 - [c220]Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Review Rating Prediction with User and Product Memory. CIKM 2019: 2341-2344 - [c219]Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie:
Neural Gender Prediction in Microblogging with Emotion-aware User Representation. CIKM 2019: 2401-2404 - [c218]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
NICE: Neural In-Hospital Cost Estimation from Medical Records. CIKM 2019: 2409-2412 - [c217]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Title-Aware Neural News Topic Prediction. CCL 2019: 181-193 - [c216]Mingxiao An, Fangzhao Wu, Heyuan Wang, Tao Di, Jianqiang Huang, Xing Xie:
Neural CTR Prediction for Native Ad. CCL 2019: 600-612 - [c215]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Neural Gender Prediction from News Browsing Data. CCL 2019: 664-676 - [c214]Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie:
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. DASFAA (3) 2019: 363-367 - [c213]Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Heterogeneous User Behavior. EMNLP/IJCNLP (1) 2019: 4873-4882 - [c212]Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie:
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. EMNLP/IJCNLP (1) 2019: 4883-4892 - [c211]Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Multi-Head Self-Attention. EMNLP/IJCNLP (1) 2019: 6388-6393 - [c210]Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie:
CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare. ICDM 2019: 1036-1041 - [c209]Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie:
Towards a Deep and Unified Understanding of Deep Neural Models in NLP. ICML 2019: 2454-2463 - [c208]Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. IJCAI 2019: 1431-1437 - [c207]Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen:
Co-Attentive Multi-Task Learning for Explainable Recommendation. IJCAI 2019: 2137-2143 - [c206]Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie:
Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network. IJCAI 2019: 3059-3065 - [c205]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Attentive Multi-View Learning. IJCAI 2019: 3863-3869 - [c204]Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie:
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. IJCAI 2019: 4213-4219 - [c203]Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie:
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems. IJCAI 2019: 4454-4460 - [c202]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
NPA: Neural News Recommendation with Personalized Attention. KDD 2019: 2576-2584 - [c201]Hongtao Liu, Yian Wang, Fangzhao Wu, Pengfei Jiao, Hongyan Xu, Xing Xie:
REKER: Relation Extraction with Knowledge of Entity and Relation. NLPCC (2) 2019: 90-102 - [c200]Zhongxia Chen, Ruihua Song, Xing Xie, Jian-Yun Nie, Xiting Wang, Fuzheng Zhang, Enhong Chen:
Neural Response Generation with Relevant Emotions for Short Text Conversation. NLPCC (1) 2019: 117-129 - [c199]Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun:
REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. NLPCC (1) 2019: 327-339 - [c198]Chao-Chung Wu, Ruihua Song, Tetsuya Sakai, Wen-Feng Cheng, Xing Xie, Shou-De Lin:
Evaluating Image-Inspired Poetry Generation. NLPCC (1) 2019: 539-551 - [c197]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. SIGIR 2019: 1233-1236 - [c196]Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie:
MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention. WSDM 2019: 33-41 - [c195]Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie:
Neural Demographic Prediction using Search Query. WSDM 2019: 654-662 - [c194]Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo:
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation. WWW 2019: 2000-2010 - [c193]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. WWW 2019: 3013-3019 - [c192]Hongwei Wang, Miao Zhao, Xing Xie, Wenjie Li, Minyi Guo:
Knowledge Graph Convolutional Networks for Recommender Systems. WWW 2019: 3307-3313 - [c191]Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. WWW 2019: 3342-3348 - [i32]Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo:
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation. CoRR abs/1901.08907 (2019) - [i31]Hongwei Wang, Miao Zhao, Xing Xie, Wenjie Li, Minyi Guo:
Knowledge Graph Convolutional Networks for Recommender Systems. CoRR abs/1904.12575 (2019) - [i30]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. CoRR abs/1905.01963 (2019) - [i29]Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. CoRR abs/1905.01964 (2019) - [i28]Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu:
Transcribing Content from Structural Images with Spotlight Mechanism. CoRR abs/1905.10954 (2019) - [i27]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. CoRR abs/1905.12480 (2019) - [i26]Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. CoRR abs/1906.00246 (2019) - [i25]Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie:
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. CoRR abs/1906.01511 (2019) - [i24]Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu:
Collaborative Translational Metric Learning. CoRR abs/1906.01637 (2019) - [i23]Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie:
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems. CoRR abs/1906.09882 (2019) - [i22]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
NPA: Neural News Recommendation with Personalized Attention. CoRR abs/1907.05559 (2019) - [i21]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Attentive Multi-View Learning. CoRR abs/1907.05576 (2019) - [i20]Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie:
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval. CoRR abs/1907.06323 (2019) - [i19]Danyang Liu, Jianxun Lian, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie:
Fast and Accurate Knowledge-Aware Document Representation Enhancement for News Recommendations. CoRR abs/1910.11494 (2019) - 2018
- [j64]Shuhei Hayashida, Daichi Amagata, Takahiro Hara, Xing Xie:
Dummy Generation Based on User-Movement Estimation for Location Privacy Protection. IEEE Access 6: 22958-22969 (2018) - [j63]Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang:
Product Adoption Rate Prediction in a Competitive Market. IEEE Trans. Knowl. Data Eng. 30(2): 325-338 (2018) - [j62]Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui:
Scalable Content-Aware Collaborative Filtering for Location Recommendation. IEEE Trans. Knowl. Data Eng. 30(6): 1122-1135 (2018) - [j61]Wayne Xin Zhao, Wenhui Zhang, Yulan He, Xing Xie, Ji-Rong Wen:
Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems. ACM Trans. Inf. Syst. 36(3): 27:1-27:33 (2018) - [j60]Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie:
GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Trans. Inf. Syst. 36(3): 33:1-33:29 (2018) - [j59]Bin Guo, Xing Xie, Raghu K. Ganti, Daqing Zhang, Zhu Wang:
Guest editorial: special issue on mobile crowdsourcing - Preface to the special issue on mobile crowdsourcing. World Wide Web 21(3): 739-740 (2018) - [c190]Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong:
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition. AAAI 2018: 192-199 - [c189]Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo:
GraphGAN: Graph Representation Learning With Generative Adversarial Nets. AAAI 2018: 2508-2515 - [c188]Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo:
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems. CIKM 2018: 417-426 - [c187]Sixing Wu, Dawei Zhang, Ying Li, Xing Xie, Zhonghai Wu:
HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation. COLING 2018: 845-856 - [c186]Chuhan Wu, Fangzhao Wu, Sixing Wu, Yongfeng Huang, Xing Xie:
Tweet Emoji Prediction Using Hierarchical Model with Attention. UbiComp/ISWC Adjunct 2018: 1337-1344 - [c185]Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu:
Collaborative Translational Metric Learning. ICDM 2018: 367-376 - [c184]Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie:
A Reinforcement Learning Framework for Explainable Recommendation. ICDM 2018: 587-596 - [c183]Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Xing Xie, Xueming Qian:
Why You Should Listen to This Song: Reason Generation for Explainable Recommendation. ICDM Workshops 2018: 1316-1322 - [c182]Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision. ICDM 2018: 1410-1415 - [c181]Lijun Yu, Dawei Zhang, Xiangqun Chen, Xing Xie:
MOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage Between Teams in MOBA Games. CGW@IJCAI 2018: 23-40 - [c180]Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen:
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data. IJCAI 2018: 3578-3584 - [c179]Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun:
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach. IJCAI 2018: 3805-3811 - [c178]Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu:
Sequential Recommender System based on Hierarchical Attention Networks. IJCAI 2018: 3926-3932 - [c177]Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie:
High-order Proximity Preserving Information Network Hashing. KDD 2018: 1744-1753 - [c176]Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun:
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems. KDD 2018: 1754-1763 - [c175]Zheng Liu, Xing Xie, Lei Chen:
Context-aware Academic Collaborator Recommendation. KDD 2018: 1870-1879 - [c174]Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu:
Transcribing Content from Structural Images with Spotlight Mechanism. KDD 2018: 2643-2652 - [c173]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Dictionary Knowledge. NLPCC (2) 2018: 80-91 - [c172]Fuzheng Zhang, Xing Xie:
Overview of the NLPCC 2018 Shared Task: Social Media User Modeling. NLPCC (2) 2018: 464-467 - [c171]Zili Zhou, Shaowu Liu, Guandong Xu, Xing Xie, Jun Yin, Yidong Li, Wu Zhang:
Knowledge-Based Recommendation with Hierarchical Collaborative Embedding. PAKDD (2) 2018: 222-234 - [c170]Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He:
Attention-driven Factor Model for Explainable Personalized Recommendation. SIGIR 2018: 909-912 - [c169]Chuhan Wu, Fangzhao Wu, Junxin Liu, Sixing Wu, Yongfeng Huang, Xing Xie:
Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention. SMM4H@EMNLP 2018: 34-37 - [c168]Steven Mudda, Defu Lian, Silvia Giordano, Danyang Liu, Xing Xie:
Spatial-Aware Deep Recommender System. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 983-990 - [c167]Yian Chen, Xing Xie, Shou-De Lin, Arden Chiu:
WSDM Cup 2018: Music Recommendation and Churn Prediction. WSDM 2018: 8-9 - [c166]Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu:
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction. WSDM 2018: 592-600 - [c165]Guanjie Zheng, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie, Zhenhui Li:
DRN: A Deep Reinforcement Learning Framework for News Recommendation. WWW 2018: 167-176 - [c164]Youngnam Lee, Sang-Wook Kim, Sunju Park, Xing Xie:
How to Impute Missing Ratings?: Claims, Solution, and Its Application to Collaborative Filtering. WWW 2018: 783-792 - [c163]Hongwei Wang, Fuzheng Zhang, Xing Xie, Minyi Guo:
DKN: Deep Knowledge-Aware Network for News Recommendation. WWW 2018: 1835-1844 - [i18]Hongwei Wang, Fuzheng Zhang, Xing Xie, Minyi Guo:
DKN: Deep Knowledge-Aware Network for News Recommendation. CoRR abs/1801.08284 (2018) - [i17]Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He:
Cross-domain novelty seeking trait mining for sequential recommendation. CoRR abs/1803.01542 (2018) - [i16]Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo:
Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems. CoRR abs/1803.03467 (2018) - [i15]Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun:
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems. CoRR abs/1803.05170 (2018) - [i14]Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong:
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model or Urban Resident Recognition. CoRR abs/1804.09901 (2018) - [i13]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Dictionary Knowledge. CoRR abs/1807.05849 (2018) - [i12]Wen-Feng Cheng, Chao-Chung Wu, Ruihua Song, Jianlong Fu, Xing Xie, Jian-Yun Nie:
Image Inspired Poetry Generation in XiaoIce. CoRR abs/1808.03090 (2018) - [i11]Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan:
Session-based Recommendation with Graph Neural Networks. CoRR abs/1811.00855 (2018) - 2017
- [j58]Bin Guo, Huihui Chen, Zhiwen Yu, Wenqian Nan, Xing Xie, Daqing Zhang, Xingshe Zhou:
TaskMe: Toward a dynamic and quality-enhanced incentive mechanism for mobile crowd sensing. Int. J. Hum. Comput. Stud. 102: 14-26 (2017) - [j57]Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He:
Representation learning via Dual-Autoencoder for recommendation. Neural Networks 90: 83-89 (2017) - [j56]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie:
Prediction and Simulation of Human Mobility Following Natural Disasters. ACM Trans. Intell. Syst. Technol. 8(2): 29:1-29:23 (2017) - [j55]Rongrong Ji, Wei Liu, Xing Xie, Yiqiang Chen, Jiebo Luo:
Mobile Social Multimedia Analytics in the Big Data Era: An Introduction to the Special Issue. ACM Trans. Intell. Syst. Technol. 8(3): 34:1-34:3 (2017) - [j54]Hao Fu, Xing Xie, Yong Rui, Neil Zhenqiang Gong, Guangzhong Sun, Enhong Chen:
Robust Spammer Detection in Microblogs: Leveraging User Carefulness. ACM Trans. Intell. Syst. Technol. 8(6): 83:1-83:31 (2017) - [j53]Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li:
Network Motif Discovery: A GPU Approach. IEEE Trans. Knowl. Data Eng. 29(3): 513-528 (2017) - [j52]Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang:
Collaborative Intent Prediction with Real-Time Contextual Data. ACM Trans. Inf. Syst. 35(4): 30:1-30:33 (2017) - [j51]Kazutoshi Umemoto, Ruihua Song, Jian-Yun Nie, Xing Xie, Katsumi Tanaka, Yong Rui:
Search by Screenshots for Universal Article Clipping in Mobile Apps. ACM Trans. Inf. Syst. 35(4): 34:1-34:29 (2017) - [j50]Xuan Song, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie, Tao Li, Ryutaro Adachi:
DeepMob: Learning Deep Knowledge of Human Emergency Behavior and Mobility from Big and Heterogeneous Data. ACM Trans. Inf. Syst. 35(4): 41:1-41:19 (2017) - [c162]Shunsuke Aoki, Kaoru Sezaki, Nicholas Jing Yuan, Xing Xie:
An Early Event Detection Technique with Bus GPS Data. SIGSPATIAL/GIS 2017: 49:1-49:4 - [c161]Tianran Hu, Ruihua Song, Maya Abtahian, Philip Ding, Xing Xie, Jiebo Luo:
A World of Difference: Divergent Word Interpretations Among People. ICWSM 2017: 548-551 - [c160]Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Chuan Qin, Xing Xie:
App Download Forecasting: An Evolutionary Hierarchical Competition Approach. IJCAI 2017: 2978-2984 - [c159]Chenyi Zhuang, Nicholas Jing Yuan, Ruihua Song, Xing Xie, Qiang Ma:
Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory. IJCAI 2017: 3616-3623 - [c158]Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao:
Discrete Content-aware Matrix Factorization. KDD 2017: 325-334 - [c157]Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun:
A Multifaceted Model for Cross Domain Recommendation Systems. KSEM 2017: 322-333 - [c156]Fuzheng Zhang, Defu Lian, Xing Xie:
Overview of the NLPCC-ICCPOL 2017 Shared Task: Social Media User Modeling. NLPCC 2017: 937-941 - [c155]Zhongxia Chen, Hongyan Huang, Dinglong Li, Ruihua Song, Xing Xie:
Microsoft Research Asia at the NTCIR-13 STC-2 Task. NTCIR 2017 - [c154]Honghao Wei, Fuzheng Zhang, Nicholas Jing Yuan, Chuan Cao, Hao Fu, Xing Xie, Yong Rui, Wei-Ying Ma:
Beyond the Words: Predicting User Personality from Heterogeneous Information. WSDM 2017: 305-314 - [c153]Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He:
Representation Learning with Pair-wise Constraints for Collaborative Ranking. WSDM 2017: 567-575 - [c152]Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun:
CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems. WWW (Companion Volume) 2017: 817-818 - [c151]Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He:
Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. WWW (Companion Volume) 2017: 881-882 - [c150]Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun:
Restaurant Survival Analysis with Heterogeneous Information. WWW (Companion Volume) 2017: 993-1002 - [e4]Xueqi Cheng, Wei-Ying Ma, Huan Liu, Huawei Shen, Shizheng Feng, Xing Xie:
Social Media Processing - 6th National Conference, SMP 2017, Beijing, China, September 14-17, 2017, Proceedings. Communications in Computer and Information Science 774, Springer 2017, ISBN 978-981-10-6804-1 [contents] - [i10]Tianran Hu, Ruihua Song, Yingzi Wang, Xing Xie, Jiebo Luo:
Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data. CoRR abs/1701.06239 (2017) - [i9]Tianran Hu, Ruihua Song, Maya Abtahian, Philip Ding, Xing Xie, Jiebo Luo:
A World of Difference: Divergent Word Interpretations among People. CoRR abs/1703.02859 (2017) - [i8]Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo:
GraphGAN: Graph Representation Learning with Generative Adversarial Nets. CoRR abs/1711.08267 (2017) - [i7]Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu:
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction. CoRR abs/1712.00732 (2017) - 2016
- [j49]Takahiro Hara, Akiyoshi Suzuki, Mayu Iwata, Yuki Arase, Xing Xie:
Dummy-Based User Location Anonymization Under Real-World Constraints. IEEE Access 4: 673-687 (2016) - [j48]Ruihua Song, Kazutoshi Umemoto, Jian-Yun Nie, Xing Xie, Katsumi Tanaka, Yong Rui:
UniClip: Leveraging Web Search for Universal Clipping of Articles on Mobile. Data Sci. Eng. 1(2): 101-113 (2016) - [j47]Bin Guo, Huihui Chen, Zhiwen Yu, Xing Xie, Daqing Zhang:
PicPick: a generic data selection framework for mobile crowd photography. Pers. Ubiquitous Comput. 20(3): 325-335 (2016) - [j46]Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie:
Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations. ACM Trans. Intell. Syst. Technol. 7(3): 39:1-39:30 (2016) - [j45]Guoshuai Zhao, Xueming Qian, Xing Xie:
User-Service Rating Prediction by Exploring Social Users' Rating Behaviors. IEEE Trans. Multim. 18(3): 496-506 (2016) - [c149]Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang:
Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds. AAAI 2016: 13-19 - [c148]Tianran Hu, Ruihua Song, Yingzi Wang, Xing Xie, Jiebo Luo:
Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data. CIKM 2016: 569-578 - [c147]Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Fuzheng Zhang, Xing Xie, Qi Liu, Enhong Chen:
A contextual collaborative approach for app usage forecasting. UbiComp 2016: 1247-1258 - [c146]Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie:
Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains. ICDM 2016: 529-538 - [c145]Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong:
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation. ICDM 2016: 1023-1028 - [c144]Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie:
Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation. ICDM 2016: 1029-1034 - [c143]Shoaib Jameel, Yi Liao, Wai Lam, Steven Schockaert, Xing Xie:
Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model. ICTIR 2016: 251-260 - [c142]Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie:
Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks. ICTIR 2016: 271-280 - [c141]Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong:
Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback. IJCAI 2016: 1732-1738 - [c140]Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang:
Contextual Intent Tracking for Personal Assistants. KDD 2016: 273-282 - [c139]Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma:
Collaborative Knowledge Base Embedding for Recommender Systems. KDD 2016: 353-362 - [c138]Zhongxia Chen, Ruihua Song, Xing Xie:
Microsoft Research Asia at NTCIR-12 STC Task. NTCIR 2016 - [c137]Jun Zhang, Xiaokui Xiao, Xing Xie:
PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions. SIGMOD Conference 2016: 155-170 - [c136]Hongyang Qu, Zhiwen Yu, Zhiyong Yu, Huang Xu, Bin Guo, Xing Xie:
What Is My Next Job: Predicting the Company Size and Position in Career Changes. Trustcom/BigDataSE/ISPA 2016: 1668-1675 - [c135]Nicholas Jing Yuan, Yuan Zhong, Fuzheng Zhang, Xing Xie, Chin-Yew Lin, Yong Rui:
Who Will Reply to/Retweet This Tweet?: The Dynamics of Intimacy from Online Social Interactions. WSDM 2016: 3-12 - [c134]Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui:
Exploiting Dining Preference for Restaurant Recommendation. WWW 2016: 725-735 - [c133]Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang:
Collaborative Nowcasting for Contextual Recommendation. WWW 2016: 1407-1418 - [i6]Jun Zhang, Xiaokui Xiao, Xing Xie:
PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions. CoRR abs/1601.03229 (2016) - [i5]Hao Fu, Xing Xie, Yong Rui, Defu Lian, Guangzhong Sun, Enhong Chen:
Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region. CoRR abs/1604.02694 (2016) - [i4]Jianxun Lian, Xing Xie:
Cross-Device User Matching Based on Massive Browse Logs: The Runner-Up Solution for the 2016 CIKM Cup. CoRR abs/1610.03928 (2016) - 2015
- [j44]Defu Lian, Xing Xie, Fuzheng Zhang, Nicholas Jing Yuan, Tao Zhou, Yong Rui:
Mining Location-based Social Networks: A Predictive Perspective. IEEE Data Eng. Bull. 38(2): 35-46 (2015) - [j43]Bin Guo, Shusen Yang, Janne Lindqvist, Xing Xie, Raghu K. Ganti:
Guest Editorial Special Issue on Mobile Crowd Sensing for IoT. IEEE Internet Things J. 2(5): 355-357 (2015) - [j42]Fuzheng Zhang, Nicholas Jing Yuan, Yingzi Wang, Xing Xie:
Reconstructing individual mobility from smart card transactions: a collaborative space alignment approach. Knowl. Inf. Syst. 44(2): 299-323 (2015) - [j41]Yingxia Shao, Bin Cui, Lei Chen, Mingming Liu, Xing Xie:
An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs. Proc. VLDB Endow. 8(8): 838-849 (2015) - [j40]Guangzhong Sun, Yang Yue, Xing Xie:
Highlights from ACM SIGSPATIAL China chapter in 2014. ACM SIGSPATIAL Special 7(1): 67-68 (2015) - [j39]Rongrong Ji, Yue Gao, Wei Liu, Xing Xie, Qi Tian, Xuelong Li:
When Location Meets Social Multimedia: A Survey on Vision-Based Recognition and Mining for Geo-Social Multimedia Analytics. ACM Trans. Intell. Syst. Technol. 6(1): 1:1-1:18 (2015) - [j38]Fuzheng Zhang, Nicholas Jing Yuan, David Wilkie, Yu Zheng, Xing Xie:
Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility. ACM Trans. Intell. Syst. Technol. 6(3): 37:1-37:23 (2015) - [j37]Hao Fu, Aston Zhang, Xing Xie:
Effective Social Graph Deanonymization Based on Graph Structure and Descriptive Information. ACM Trans. Intell. Syst. Technol. 6(4): 49:1-49:29 (2015) - [j36]Nicholas Jing Yuan, Yu Zheng, Xing Xie, Yingzi Wang, Kai Zheng, Hui Xiong:
Discovering Urban Functional ZonesUsing Latent Activity Trajectories. IEEE Trans. Knowl. Data Eng. 27(3): 712-725 (2015) - [j35]Bin Guo, Huihui Chen, Zhiwen Yu, Xing Xie, Shenlong Huangfu, Daqing Zhang:
FlierMeet: A Mobile Crowdsensing System for Cross-Space Public Information Reposting, Tagging, and Sharing. IEEE Trans. Mob. Comput. 14(10): 2020-2033 (2015) - [j34]Andy Yuan Xue, Jianzhong Qi, Xing Xie, Rui Zhang, Jin Huang, Yuan Li:
Solving the data sparsity problem in destination prediction. VLDB J. 24(2): 219-243 (2015) - [c132]Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang:
Content-Based Collaborative Filtering for News Topic Recommendation. AAAI 2015: 217-223 - [c131]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie:
A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data. AAAI 2015: 730-736 - [c130]Yi Liao, Shoaib Jameel, Wai Lam, Xing Xie:
Abstract Venue Concept Detection from Location-Based Social Networks. AIRS 2015: 147-157 - [c129]Bin Guo, Wenqian Nan, Zhiwen Yu, Xing Xie, Huihui Chen, Xingshe Zhou:
TaskMe: a cross-community, quality-enhanced incentive mechanism for mobile crowd sensing. UbiComp/ISWC Adjunct 2015: 49-52 - [c128]Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui:
Mining consumer impulsivity from offline and online behavior. UbiComp 2015: 1281-1292 - [c127]Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li:
Network motif discovery: A GPU approach. ICDE 2015: 831-842 - [c126]Bolong Zheng, Nicholas Jing Yuan, Kai Zheng, Xing Xie, Shazia Wasim Sadiq, Xiaofang Zhou:
Approximate keyword search in semantic trajectory database. ICDE 2015: 975-986 - [c125]Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui:
Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data. ICDM 2015: 261-270 - [c124]Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie:
Mining Indecisiveness in Customer Behaviors. ICDM 2015: 281-290 - [c123]Xianming Li, Defu Lian, Xing Xie, Guangzhong Sun:
Lifting the Predictability of Human Mobility on Activity Trajectories. ICDM Workshops 2015: 1063-1069 - [c122]Zhou Zhao, Ruihua Song, Xing Xie, Xiaofei He, Yueting Zhuang:
Mobile Query Recommendation via Tensor Function Learning. IJCAI 2015: 4084-4090 - [c121]Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui:
Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data. KDD 2015: 1275-1284 - [c120]Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui:
Predicting Smartphone Adoption in Social Networks. PAKDD (1) 2015: 472-485 - [c119]Le Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tan:
Product Adoption Rate Prediction: A Multi-factor View. SDM 2015: 154-162 - [c118]Yuan Zhong, Nicholas Jing Yuan, Wen Zhong, Fuzheng Zhang, Xing Xie:
You Are Where You Go: Inferring Demographic Attributes from Location Check-ins. WSDM 2015: 295-304 - [c117]Hao Fu, Xing Xie, Yong Rui:
Leveraging Careful Microblog Users for Spammer Detection. WWW (Companion Volume) 2015: 419-429 - [c116]Fuzheng Zhang, Kai Zheng, Nicholas Jing Yuan, Xing Xie, Enhong Chen, Xiaofang Zhou:
A Novelty-Seeking based Dining Recommender System. WWW 2015: 1362-1372 - 2014
- [j33]Zhiwen Yu, Yue Yang, Xingshe Zhou, Yu Zheng, Xing Xie:
Investigating How User's Activities in Both Virtual and Physical World Impact Each Other Leveraging LBSN Data. Int. J. Distributed Sens. Networks 10 (2014) - [j32]Xiangye Xiao, Yu Zheng, Qiong Luo, Xing Xie:
Inferring social ties between users with human location history. J. Ambient Intell. Humaniz. Comput. 5(1): 3-19 (2014) - [j31]Jonghyun Han, Hedda Rahel Schmidtke, Xing Xie, Woontack Woo:
Adaptive content recommendation for mobile users: Ordering recommendations using a hierarchical context model with granularity. Pervasive Mob. Comput. 13: 85-98 (2014) - [j30]Defu Lian, Xing Xie:
Mining Check-In History for Personalized Location Naming. ACM Trans. Intell. Syst. Technol. 5(2): 32:1-32:25 (2014) - [c115]Aston Zhang, Xing Xie, Kevin Chen-Chuan Chang, Carl A. Gunter, Jiawei Han, XiaoFeng Wang:
Privacy Risk in Anonymized Heterogeneous Information Networks. EDBT 2014: 595-606 - [c114]Bin Guo, Xing Xie, Huihui Chen, Shenlong Huangfu, Zhiwen Yu, Zhu Wang:
FlierMeet: cross-space public information reposting with mobile crowd sensing. UbiComp Adjunct 2014: 59-62 - [c113]Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong:
Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective. ICDM 2014: 350-359 - [c112]Takahiro Hara, Yuki Arase, Ayana Yamamoto, Xing Xie, Mayu Iwata, Shojiro Nishio:
Location anonymization using real car trace data for location based services. ICUIMC 2014: 34:1-34:8 - [c111]Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Yong Rui:
GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation. KDD 2014: 831-840 - [c110]Defu Lian, Yin Zhu, Xing Xie, Enhong Chen:
Analyzing Location Predictability on Location-Based Social Networks. PAKDD (1) 2014: 102-113 - [c109]Hao Fu, Aston Zhang, Xing Xie:
De-anonymizing social graphs via node similarity. WWW (Companion Volume) 2014: 263-264 - [c108]Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie:
Mining novelty-seeking trait across heterogeneous domains. WWW 2014: 373-384 - [i3]Zimo Yang, Defu Lian, Nicholas Jing Yuan, Xing Xie, Yong Rui, Tao Zhou:
Indigenization of Urban Mobility. CoRR abs/1405.7769 (2014) - 2013
- [j29]Jonghyun Han, Xing Xie, Woontack Woo:
Context-based microblog browsing for mobile users. J. Ambient Intell. Smart Environ. 5(1): 89-104 (2013) - [j28]Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jianhui Yu, Yong Tang:
DesTeller: A System for Destination Prediction Based on Trajectories with Privacy Protection. Proc. VLDB Endow. 6(12): 1198-1201 (2013) - [j27]Jing Yuan, Yu Zheng, Xing Xie, Guangzhong Sun:
T-Drive: Enhancing Driving Directions with Taxi Drivers' Intelligence. IEEE Trans. Knowl. Data Eng. 25(1): 220-232 (2013) - [j26]Nicholas Jing Yuan, Yu Zheng, Liuhang Zhang, Xing Xie:
T-Finder: A Recommender System for Finding Passengers and Vacant Taxis. IEEE Trans. Knowl. Data Eng. 25(10): 2390-2403 (2013) - [c107]Nicholas Jing Yuan, Fuzheng Zhang, Defu Lian, Kai Zheng, Siyu Yu, Xing Xie:
We know how you live: exploring the spectrum of urban lifestyles. COSN 2013: 3-14 - [c106]Ryo Kato, Mayu Iwata, Takahiro Hara, Yuki Arase, Xing Xie, Shojiro Nishio:
User Location Anonymization Method for Wide Distribution of Dummies. DEXA (2) 2013: 259-273 - [c105]Fuzheng Zhang, David Wilkie, Yu Zheng, Xing Xie:
Sensing the pulse of urban refueling behavior. UbiComp 2013: 13-22 - [c104]Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jin Huang, Zhenghua Xu:
Destination prediction by sub-trajectory synthesis and privacy protection against such prediction. ICDE 2013: 254-265 - [c103]Nicholas Jing Yuan, Yingzi Wang, Fuzheng Zhang, Xing Xie, Guangzhong Sun:
Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach. ICDM 2013: 877-886 - [c102]Defu Lian, Vincent Wenchen Zheng, Xing Xie:
Collaborative filtering meets next check-in location prediction. WWW (Companion Volume) 2013: 231-232 - 2012
- [j25]Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang:
Towards mobile intelligence: Learning from GPS history data for collaborative recommendation. Artif. Intell. 184-185: 17-37 (2012) - [j24]Hyoseok Yoon, Yu Zheng, Xing Xie, Woontack Woo:
Social itinerary recommendation from user-generated digital trails. Pers. Ubiquitous Comput. 16(5): 469-484 (2012) - [j23]Xing Xie:
Highlights from ACM SIGSPATIAL China Chapter in 2011. ACM SIGSPATIAL Special 4(1): 21-22 (2012) - [j22]Zhisheng Li, Xiangye Xiao, Meng Wang, Chong Wang, Xufa Wang, Xing Xie:
Towards the taxonomy-oriented categorization of yellow pages queries. ACM Trans. Internet Techn. 11(4): 16:1-16:27 (2012) - [c101]Ryo Kato, Mayu Iwata, Takahiro Hara, Akiyoshi Suzuki, Xing Xie, Yuki Arase, Shojiro Nishio:
A dummy-based anonymization method based on user trajectory with pauses. SIGSPATIAL/GIS 2012: 249-258 - [c100]Kai Zheng, Yu Zheng, Xing Xie, Xiaofang Zhou:
Reducing Uncertainty of Low-Sampling-Rate Trajectories. ICDE 2012: 1144-1155 - [c99]Jing Yuan, Yu Zheng, Xing Xie:
Discovering regions of different functions in a city using human mobility and POIs. KDD 2012: 186-194 - [i2]Yin Zhu, Yu Zheng, Liuhang Zhang, Darshan Santani, Xing Xie, Qiang Yang:
Inferring Taxi Status Using GPS Trajectories. CoRR abs/1205.4378 (2012) - 2011
- [j21]Rongrong Ji, Hongxun Yao, Xing Xie, Qi Tian:
Vocabulary Hierarchy Optimization and Transfer for Scalable Image Search. IEEE Multim. 18(3): 66-77 (2011) - [j20]Wei-Ying Ma, Tie-Yan Liu, Ji-Rong Wen, Zheng Chen, Zaiqing Nie, Xing Xie, Hang Li, Haixun Wang, Yu Zheng:
A conversation with MSRA researchers. SIGKDD Explor. 13(2): 82-84 (2011) - [j19]Xing Xie, Wen-Chih Peng:
LBSN 2010 workshop report: The Second ACM SIGSPATIAL International Workshop on Location Based Social Networks (San Jose, California - November 2, 2010). ACM SIGSPATIAL Special 3(1): 15-17 (2011) - [j18]Xing Xie:
SIGSPATIAL China 2010 activity report. ACM SIGSPATIAL Special 3(1): 21-22 (2011) - [j17]Yu Zheng, Xing Xie:
Learning travel recommendations from user-generated GPS traces. ACM Trans. Intell. Syst. Technol. 2(1): 2:1-2:29 (2011) - [j16]Yu Zheng, Lizhu Zhang, Zhengxin Ma, Xing Xie, Wei-Ying Ma:
Recommending friends and locations based on individual location history. ACM Trans. Web 5(1): 5:1-5:44 (2011) - [c98]Gamhewage C. de Silva, Kiyoharu Aizawa, Yuki Arase, Xing Xie:
Interactive social, spatial and temporal querying for multimedia retrieval. CBMI 2011: 7-12 - [c97]Defu Lian, Xing Xie:
Collaborative activity recognition via check-in history. GIS-LBSN 2011: 45-48 - [c96]Defu Lian, Xing Xie:
Learning location naming from user check-in histories. GIS 2011: 112-121 - [c95]Favyen Bastani, Xing Xie, Yan Huang, Jason W. Powell:
A greener transportation mode: flexible routes discovery from GPS trajectory data. GIS 2011: 405-408 - [c94]Yu Zheng, Yanchi Liu, Jing Yuan, Xing Xie:
Urban computing with taxicabs. UbiComp 2011: 89-98 - [c93]Jing Yuan, Yu Zheng, Liuhang Zhang, Xing Xie, Guangzhong Sun:
Where to find my next passenger. UbiComp 2011: 109-118 - [c92]Feng Lu, Xing Xie, Shih-Lung Shaw:
TDMA'11 workshop overview. UbiComp 2011: 635-636 - [c91]Jing Yuan, Yu Zheng, Xing Xie, Guangzhong Sun:
Driving with knowledge from the physical world. KDD 2011: 316-324 - [c90]Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xing Xie:
Discovering spatio-temporal causal interactions in traffic data streams. KDD 2011: 1010-1018 - [c89]Mao Ye, Rong Xiao, Wang-Chien Lee, Xing Xie:
On theme location discovery for travelogue services. SIGIR 2011: 465-474 - [c88]Lu-An Tang, Yu Zheng, Xing Xie, Jing Yuan, Xiao Yu, Jiawei Han:
Retrieving k-Nearest Neighboring Trajectories by a Set of Point Locations. SSTD 2011: 223-241 - [c87]Xing Xie:
Build Intelligence from the Physical World. W2GIS 2011: 1-3 - [c86]Mao Ye, Rong Xiao, Wang-Chien Lee, Xing Xie:
Location relevance classification for travelogue digests. WWW (Companion Volume) 2011: 163-164 - [p1]Yu Zheng, Xing Xie:
Location-Based Social Networks: Locations. Computing with Spatial Trajectories 2011: 277-308 - [e3]James A. Landay, Yuanchun Shi, Donald J. Patterson, Yvonne Rogers, Xing Xie:
UbiComp 2011: Ubiquitous Computing, 13th International Conference, UbiComp 2011, Beijing, China, September 17-21, 2011, Proceedings. ACM 2011, ISBN 978-1-4503-0630-0 [contents] - 2010
- [j15]Yu Zheng, Xing Xie, Wei-Ying Ma:
GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory. IEEE Data Eng. Bull. 33(2): 32-39 (2010) - [j14]Flora S. Tsai, Minoru Etoh, Xing Xie, Wang-Chien Lee, Qiang Yang:
Introduction to Mobile Information Retrieval. IEEE Intell. Syst. 25(1): 11-15 (2010) - [j13]Jihwan Song, Xing Xie, Yoon-Joon Lee, Ji-Rong Wen:
Estimating Mobile-Friendliness Scores of Web Pages. IEICE Trans. Inf. Syst. 93-D(11): 3124-3127 (2010) - [j12]Xing Xie:
LBSN 2009 Workshop Report: International Workshop on Location Based Social Networks (Seattle, Washington - November 3, 2009). ACM SIGSPATIAL Special 2(1): 9-11 (2010) - [j11]Xing Xie:
Welcome to SIGSPATIAL China. ACM SIGSPATIAL Special 2(1): 26-28 (2010) - [j10]Yu Zheng, Yukun Chen, Quannan Li, Xing Xie, Wei-Ying Ma:
Understanding transportation modes based on GPS data for web applications. ACM Trans. Web 4(1): 1:1-1:36 (2010) - [j9]Xiangye Xiao, Qiong Luo, Zhisheng Li, Xing Xie, Wei-Ying Ma:
A large-scale study on map search logs. ACM Trans. Web 4(3): 8:1-8:33 (2010) - [c85]Vincent Wenchen Zheng, Bin Cao, Yu Zheng, Xing Xie, Qiang Yang:
Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach. AAAI 2010: 236-241 - [c84]Chang Sheng, Yu Zheng, Wynne Hsu, Mong-Li Lee, Xing Xie:
Answering Top-k Similar Region Queries. DASFAA (1) 2010: 186-201 - [c83]Teng Qin, Rong Xiao, Lei Fang, Xing Xie, Lei Zhang:
An efficient location extraction algorithm by leveraging web contextual information. GIS 2010: 53-60 - [c82]Jing Yuan, Yu Zheng, Chengyang Zhang, Wenlei Xie, Xing Xie, Guangzhong Sun, Yan Huang:
T-drive: driving directions based on taxi trajectories. GIS 2010: 99-108 - [c81]Yu Zheng, Xixuan Fen, Xing Xie, Shuang Peng, James Fu:
Detecting nearly duplicated records in location datasets. GIS 2010: 137-143 - [c80]Akiyoshi Suzuki, Mayu Iwata, Yuki Arase, Takahiro Hara, Xing Xie, Shojiro Nishio:
A user location anonymization method for location based services in a real environment. GIS 2010: 398-401 - [c79]Xiangye Xiao, Yu Zheng, Qiong Luo, Xing Xie:
Finding similar users using category-based location history. GIS 2010: 442-445 - [c78]Xing Xie:
Potential Friend Recommendation in Online Social Network. GreenCom/CPSCom 2010: 831-835 - [c77]Yuki Arase, Fei Ren, Xing Xie:
User activity understanding from mobile phone sensors. UbiComp (Adjunct Papers) 2010: 391-392 - [c76]Yu Zheng, Xing Xie:
Learning Location Correlation from GPS Trajectories. Mobile Data Management 2010: 27-32 - [c75]Jing Yuan, Yu Zheng, Chengyang Zhang, Xing Xie, Guangzhong Sun:
An Interactive-Voting Based Map Matching Algorithm. Mobile Data Management 2010: 43-52 - [c74]Neil Zhenqiang Gong, Guangzhong Sun, Xing Xie:
Protecting Privacy in Location-Based Services Using K-Anonymity without Cloaked Region. Mobile Data Management 2010: 366-371 - [c73]Yuki Arase, Xing Xie, Takahiro Hara, Shojiro Nishio:
Mining people's trips from large scale geo-tagged photos. ACM Multimedia 2010: 133-142 - [c72]Zaiben Chen, Heng Tao Shen, Xiaofang Zhou, Yu Zheng, Xing Xie:
Searching trajectories by locations: an efficiency study. SIGMOD Conference 2010: 255-266 - [c71]Hyoseok Yoon, Yu Zheng, Xing Xie, Woontack Woo:
Smart Itinerary Recommendation Based on User-Generated GPS Trajectories. UIC 2010: 19-34 - [c70]Yu Zheng, Jing Yuan, Wenlei Xie, Xing Xie, Guangzhong Sun:
Drive Smartly as a Taxi Driver. UIC/ATC Workshops 2010: 484-486 - [c69]Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang:
Collaborative location and activity recommendations with GPS history data. WWW 2010: 1029-1038 - [e2]Xiaofang Zhou, Wang-Chien Lee, Wen-Chih Peng, Xing Xie:
Proceedings of the 2010 International Workshop on Location Based Social Networks, LBSN 2010, November 2, 2010, San Jose, CA, USA, Proceedings. ACM 2010, ISBN 978-1-4503-0434-4 [contents]
2000 – 2009
- 2009
- [j8]Yiqun Hu, Xiangang Cheng, Liang-Tien Chia, Xing Xie, Deepu Rajan, Ah-Hwee Tan:
Coherent Phrase Model for Efficient Image Near-Duplicate Retrieval. IEEE Trans. Multim. 11(8): 1434-1445 (2009) - [j7]Xiangye Xiao, Qiong Luo, Dan Hong, Hongbo Fu, Xing Xie, Wei-Ying Ma:
Browsing on small displays by transforming Web pages into hierarchically structured subpages. ACM Trans. Web 3(1): 4:1-4:36 (2009) - [c68]Rongrong Ji, Xing Xie, Hongxun Yao, Wei-Ying Ma:
Vocabulary hierarchy optimization for effective and transferable retrieval. CVPR 2009: 1161-1168 - [c67]Yin Lou, Chengyang Zhang, Yu Zheng, Xing Xie, Wei Wang, Yan Huang:
Map-matching for low-sampling-rate GPS trajectories. GIS 2009: 352-361 - [c66]Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma:
Mining correlation between locations using human location history. GIS 2009: 472-475 - [c65]Wei Jiang, Dechao Liu, Xing Xie, Matthew R. Scott, Jonathan Tien, Dong Xiang:
An online advertisement platform based on image content bidding. ICME 2009: 1234-1237 - [c64]Matthew R. Scott, Wei Jiang, Xing Xie, Jonathan Tien, Gang Chen, Dong Xiang:
Visiads: A vision-based advertising platform for camera phones. ICME 2009: 1837-1838 - [c63]Xing Xie, Mengliang Liu, Leiguang Wang, Qianqin Qin:
A Remote Sensing Image Segmentation Method Based on Spectral and Texture Information Fusion. ITNG 2009: 22-27 - [c62]Yang Ye, Yu Zheng, Yukun Chen, Jianhua Feng, Xing Xie:
Mining Individual Life Pattern Based on Location History. Mobile Data Management 2009: 1-10 - [c61]Yu Zheng, Yukun Chen, Xing Xie, Wei-Ying Ma:
GeoLife2.0: A Location-Based Social Networking Service. Mobile Data Management 2009: 357-358 - [c60]Rongrong Ji, Xing Xie, Hongxun Yao, Wei-Ying Ma:
Mining city landmarks from blogs by graph modeling. ACM Multimedia 2009: 105-114 - [c59]Dechao Liu, Matthew R. Scott, Rongrong Ji, Wei Jiang, Hongxun Yao, Xing Xie:
Location sensitive indexing for image-based advertising. ACM Multimedia 2009: 793-796 - [c58]Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma:
Mining interesting locations and travel sequences from GPS trajectories. WWW 2009: 791-800 - [c57]Yuki Arase, Xing Xie, Manni Duan, Takahiro Hara, Shojiro Nishio:
A game based approach to assign geographical relevance to web images. WWW 2009: 811-820 - [e1]Xiaofang Zhou, Xing Xie:
Proceedings of the 2009 International Workshop on Location Based Social Networks, LBSN 2009, November 3, 2009, Seattle, Washington, USA, Proceedings. ACM 2009, ISBN 978-1-60558-860-5 [contents] - 2008
- [j6]Xing Xie, Lie Lu, Menglei Jia, Hua Li, Frank Seide, Wei-Ying Ma:
Mobile Search With Multimodal Queries. Proc. IEEE 96(4): 589-601 (2008) - [c56]Xiangye Xiao, Xing Xie, Qiong Luo, Wei-Ying Ma:
Density based co-location pattern discovery. GIS 2008: 29 - [c55]Quannan Li, Yu Zheng, Xing Xie, Yukun Chen, Wenyu Liu, Wei-Ying Ma:
Mining user similarity based on location history. GIS 2008: 34 - [c54]Yu Zheng, Quannan Li, Yukun Chen, Xing Xie, Wei-Ying Ma:
Understanding mobility based on GPS data. UbiComp 2008: 312-321 - [c53]Rongrong Ji, Xing Xie, Hongxun Yao, Yongjian Wu, Wei-Ying Ma:
Vocabulary tree incremental indexing for scalable location recognition. ICME 2008: 869-872 - [c52]Jim Kleban, Xing Xie, Wei-Ying Ma:
Spatial pyramid mining for logo detection in natural scenes. ICME 2008: 1077-1080 - [c51]Manni Duan, Xing Xie, Xiuqing Wu, Wei-Ying Ma:
Visual pattern weighting for near-duplicate image retrieval. ICME 2008: 1313-1316 - [c50]Longhao Wang, Yu Zheng, Xing Xie, Wei-Ying Ma:
A Flexible Spatio-Temporal Indexing Scheme for Large-Scale GPS Track Retrieval. MDM 2008: 1-8 - [c49]Yu Zheng, Longhao Wang, Ruochi Zhang, Xing Xie, Wei-Ying Ma:
GeoLife: Managing and Understanding Your Past Life over Maps. MDM 2008: 211-212 - [c48]Xiangye Xiao, Longhao Wang, Xing Xie, Qiong Luo:
Discovering co-located queries in geographic search logs. LocWeb 2008: 77-84 - [c47]Yu Zheng, Like Liu, Longhao Wang, Xing Xie:
Learning transportation mode from raw gps data for geographic applications on the web. WWW 2008: 247-256 - [i1]Xing Xie:
Understanding User Behavior Geospatially. Contextual and Social Media Understanding and Usage 2008 - 2007
- [c46]Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma:
Query Parsing Task for GeoCLEF2007 Report. CLEF (Working Notes) 2007 - [c45]Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma:
MSRA Columbus at GeoCLEF2007. CLEF (Working Notes) 2007 - [c44]Thomas Mandl, Fredric C. Gey, Giorgio Maria Di Nunzio, Nicola Ferro, Ray R. Larson, Mark Sanderson, Diana Santos, Christa Womser-Hacker, Xing Xie:
GeoCLEF 2007: The CLEF 2007 Cross-Language Geographic Information Retrieval Track Overview. CLEF 2007: 745-772 - [c43]Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma:
Exploring LDA-Based Document Model for Geographic Information Retrieval. CLEF 2007: 842-849 - [c42]Thomas Mandl, Fredric C. Gey, Giorgio Maria Di Nunzio, Nicola Ferro, Ray R. Larson, Mark Sanderson, Diana Santos, Christa Womser-Hacker, Xing Xie:
GeoCLEF 2007: the CLEF 2007 Cross-Language Geographic Information Retrieval Track Overview. CLEF (Working Notes) 2007 - [c41]Qi Zhang, Xing Xie, Lee Wang, Lihua Yue, Wei-Ying Ma:
Computing Geographical Serving Area Based on Search Logs and Website Categorization. DEXA 2007: 811-822 - [c40]Chong Wang, Jinggang Wang, Xing Xie, Wei-Ying Ma:
Mining geographic knowledge using location aware topic model. GIR 2007: 65-70 - [c39]Yu Zheng, Xing Xie, Wei-Ying Ma:
Distributed Architecture for Large Scale Image-Based Search. ICME 2007: 579-582 - [c38]Zhiwei Li, Xing Xie, Lei Zhang, Wei-Ying Ma:
Searching One Billion Web Images by Content: Challenges and Opportunities. MCAM 2007: 33-36 - 2006
- [j5]Zhigang Hua, Xing Xie, Hao Liu, Hanqing Lu, Wei-Ying Ma:
Design and Performance Studies of an Adaptive Scheme for Serving Dynamic Web Content in a Mobile Computing Environment. IEEE Trans. Mob. Comput. 5(12): 1650-1662 (2006) - [j4]Xing Xie, Hao Liu, Wei-Ying Ma, HongJiang Zhang:
Browsing Large Pictures Under Limited Display Sizes. IEEE Trans. Multim. 8(4): 707-715 (2006) - [c37]Xiangye Xiao, Qiong Luo, Xing Xie, Wei-Ying Ma:
A comparative study on classifying the functions of web page blocks. CIKM 2006: 776-777 - [c36]Zhisheng Li, Chong Wang, Xing Xie, Wei-Ying Ma:
MSRA Columbus at GeoCLEF 2006. CLEF (Working Notes) 2006 - [c35]Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma:
MSRA Columbus at GeoCLEF 2006. CLEF 2006: 926-929 - [c34]Zhisheng Li, Chong Wang, Xing Xie, Xufa Wang, Wei-Ying Ma:
Indexing implicit locations for geographical information retrieval. GIR 2006 - [c33]Qi Zhang, Xing Xie, Lee Wang, Lihua Yue, Wei-Ying Ma:
Detecting Geographical Serving Area of Web Resources. GIR 2006 - [c32]Yinghua Zhou, Xin Fan, Xing Xie, Yuchang Gong, Wei-Ying Ma:
Inquiring of the Sights from the Web via Camera Mobiles. ICME 2006: 661-664 - [c31]Xin Fan, Xing Xie, Wei-Ying Ma:
Detecting The Sufficient Display Resolution For Image Browsing. MDM 2006: 22 - [c30]Menglei Jia, Xin Fan, Xing Xie, Mingjing Li, Wei-Ying Ma:
Photo-to-Search: Using Camera Phones to Inquire of the Surrounding World. MDM 2006: 46 - 2005
- [j3]Yu Chen, Xing Xie, Wei-Ying Ma, HongJiang Zhang:
Adapting Web Pages for Small-Screen Devices. IEEE Internet Comput. 9(1): 50-56 (2005) - [j2]Xing Xie, Chong Wang, Li-Qun Chen, Wei-Ying Ma:
An adaptive web page layout structure for small devices. Multim. Syst. 11(1): 34-44 (2005) - [c29]Xing Xie, Hao Liu, Simon Goumaz, Wei-Ying Ma:
Learning user interest for image browsing on small-form-factor devices. CHI 2005: 671-680 - [c28]Yinghua Zhou, Xing Xie, Chuang Wang, Yuchang Gong, Wei-Ying Ma:
Hybrid index structures for location-based web search. CIKM 2005: 155-162 - [c27]Chuang Wang, Xing Xie, Lee Wang, Yansheng Lu, Wei-Ying Ma:
Detecting geographic locations from web resources. GIR 2005: 17-24 - [c26]Zhigang Hua, Chuang Wang, Xing Xie, Hanqing Lu, Wei-Ying Ma:
Automatic Annotation of Location Information for WWW Images. ICME 2005: 771-774 - [c25]Zhigang Hua, Xiang-Jun Wang, Xing Xie, Qingshan Liu, Hanqing Lu, Wei-Ying Ma:
AIRE: an ambient interactive and responsive environment for mobile image management. Mobile HCI 2005: 343-344 - [c24]Xin Fan, Xing Xie, Zhiwei Li, Mingjing Li, Wei-Ying Ma:
Photo-to-search: using multimodal queries to search the web from mobile devices. Multimedia Information Retrieval 2005: 143-150 - [c23]Zhigang Hua, Xing Xie, Hanqing Lu, Wei-Ying Ma:
ASAP: A Synchronous Approach for Photo Sharing across Multiple Devices. MMM 2005: 206-213 - [c22]Xing Xie, Gengxin Miao, Ruihua Song, Ji-Rong Wen, Wei-Ying Ma:
Efficient Browsing of Web Search Results on Mobile Devices Based on Block Importance Model. PerCom 2005: 17-26 - [c21]Lee Wang, Chuang Wang, Xing Xie, Josh Forman, Yansheng Lu, Wei-Ying Ma, Ying Li:
Detecting dominant locations from search queries. SIGIR 2005: 424-431 - [c20]Chuang Wang, Xing Xie, Lee Wang, Yansheng Lu, Wei-Ying Ma:
Web resource geographic location classification and detection. WWW (Special interest tracks and posters) 2005: 1138-1139 - [c19]Zhigang Hua, Hao Liu, Xing Xie, Hanqing Lu, Wei-Ying Ma:
Representing personal web information using a topic-oriented interface. WWW (Special interest tracks and posters) 2005: 1142-1143 - 2004
- [c18]Hao Liu, Xing Xie, Xiaoou Tang, Wei-Ying Ma:
Clustering-Based Navigation of Image Search Results on Mobile Devices. AIRS 2004: 325-336 - [c17]Yusuo Hu, Xing Xie, Zonghai Chen, Wei-Ying Ma:
Attention model based progressive image transmission. ICME 2004: 1079-1082 - [c16]Xing Xie, Wei-Ying Ma, HongJiang Zhang:
Maximizing information throughput for multimedia browsing on small displays. ICME 2004: 2143-2146 - [c15]Zheng Zhang, Yu Chen, Shiding Lin, Bo-Ying Lu, Shuming Shi, Xing Xie, Chun Yuan:
P2P Resource Pool and Its Application to Optimize Wide-Area Application Level Multicasting. ICPP Workshops 2004: 273-281 - [c14]Hao Liu, Xing Xie, Xiaoou Tang, Zhiwei Li, Wei-Ying Ma:
Effective browsing of web image search results. Multimedia Information Retrieval 2004: 84-90 - [c13]Zhiwei Li, Xing Xie, Hao Liu, Xiaoou Tang, Mingjing Li, Wei-Ying Ma:
Intuitive and effective interfaces for WWW image search engines. ACM Multimedia 2004: 748-749 - [c12]Chong Wang, Xing Xie, Wenyuan Wang, Wei-Ying Ma:
Improving Web Browsing on Small Devices Based on Table Classification. PCM (2) 2004: 88-95 - [c11]Zhigang Hua, Xing Xie, Hanqing Lu, Wei-Ying Ma:
Automatic Synchronized Browsing of Images Across Multiple Devices. PCM (2) 2004: 704-711 - [c10]Yiqun Hu, Xing Xie, Wei-Ying Ma, Liang-Tien Chia, Deepu Rajan:
Salient Region Detection Using Weighted Feature Maps Based on the Human Visual Attention Model. PCM (2) 2004: 993-1000 - [c9]Patrick Baudisch, Xing Xie, Chong Wang, Wei-Ying Ma:
Collapse-to-zoom: viewing web pages on small screen devices by interactively removing irrelevant content. UIST 2004: 91-94 - 2003
- [j1]Li-Qun Chen, Xing Xie, Xin Fan, Wei-Ying Ma, HongJiang Zhang, He-Qin Zhou:
A visual attention model for adapting images on small displays. Multim. Syst. 9(4): 353-364 (2003) - [c8]Xin Fan, Xing Xie, Wei-Ying Ma, Hong-Jiang Zhang, He-Qin Zhou:
Visual attention based image browsing on mobile devices. ICME 2003: 53-56 - [c7]Ming-Yu Wang, Xing Xie, Wei-Ying Ma, HongJiang Zhang:
MobiPicture: browsing pictures on mobile devices. ACM Multimedia 2003: 106-107 - [c6]Hao Liu, Xing Xie, Wei-Ying Ma, HongJiang Zhang:
Automatic browsing of large pictures on mobile devices. ACM Multimedia 2003: 148-155 - [c5]Xin Fan, Xing Xie, He-Qin Zhou, Wei-Ying Ma:
Looking into video frames on small displays. ACM Multimedia 2003: 247-250 - [c4]Li-Qun Chen, Xing Xie, Wei-Ying Ma, HongJiang Zhang, He-Qin Zhou:
Image Adaptation Based on Attention Model for Small-Form-Factor Device. MMM 2003: 421- - [c3]Li-Qun Chen, Xing Xie, Wei-Ying Ma, HongJiang Zhang, He-Qin Zhou, Huanqing Feng:
DRESS: A Slicing Tree Based Web Page Representation for Various Display Sizes. WWW (Posters) 2003 - [c2]Wei-Ying Ma, Xing Xie, Chun Yuan, Yu Chen, Zheng Zhang, HongJiang Zhang:
Media Companion: Delivering Content-oriented Web Services to Internet Media. WWW (Posters) 2003 - 2002
- [c1]Xing Xie, Hua-Jun Zeng, Wei-Ying Ma:
Enabling personalization services on the edge. ACM Multimedia 2002: 263-266
Coauthor Index
[j89] [c322] [i146] [j84] [c279] [c274] [c268] [c261] [i110] [i109] [i104] [i101] [i99] [i94] [c259] [c257] [c256] [c252] [i64] [i63] [i55] [i53] [i52] [i51] [i50] [j73] [j71] [c240] [c239] [i40] [i39] [i38] [i37] [i36] [j68] [j67] [c227] [c225] [c222] [c221] [c220] [c219] [c218] [c217] [c215] [c213] [c212] [c211] [c205] [c202] [c196] [c195] [c193] [c191] [i30] [i29] [i22] [i21] [c186] [c182] [c173] [c169] [i13]
[j102] [j97] [c358] [c340] [i184] [j91] [j88] [c338] [c334] [c331] [c327] [c315] [c310] [c309] [c308] [c306] [c305] [c304] [c303] [c301] [i153] [i152] [i139] [i137] [i135] [c295] [c288] [c286] [c284] [c281] [c271] [c270] [c266] [c263] [i112] [i106] [i98] [i92] [i91] [i85] [i76] [i75] [i73] [c255] [c248] [c247] [i57] [i56] [i54] [i46] [i44] [i43]
[c366] [c349] [c343] [c341] [i183] [j92] [j90] [c318] [c299] [i134] [i126] [i120] [c269] [c267] [c263] [i112] [i111] [i103] [i102] [i89] [j78] [j76] [c253] [c248] [i59] [i58] [c237] [c236] [c233] [c232] [i34] [i20] [j62] [j60] [c177] [c168] [c158] [c156] [c145] [c144] [c141] [c139] [c134] [i5] [j44] [c128] [c125] [c123] [c121] [j30] [c111] [c110] [c108] [i3] [c107] [c102] [c97] [c96]
[c368] [c354] [c349] [c343] [c342] [c341] [i191] [i183] [i179] [i177] [i165] [i164] [c311] [c301] [c300] [c298] [i160] [i156] [i143] [i139] [i134] [i126] [i121] [i120] [i116] [j87] [c294] [c284] [c281] [c280] [c266] [c265] [c264] [i103] [i98] [i96] [i85] [c250] [c246] [c245] [i62] [i58] [i48] [c242] [c239] [c235] [c233] [c232] [i42] [i36] [i35] [c224] [c223] [c204] [c203] [i23] [i20] [i19] [c179] [c176] [i15] [c157] [c152] [c150] [i4] [c132]
[c363] [c344] [i173] [i168] [j93] [j91] [j90] [j88] [c331] [c299] [c278] [c277] [c272] [c269] [c267] [c266] [c263] [c262] [i112] [i111] [i108] [i103] [i102] [i98] [i95] [i89] [i67] [c255] [c253] [c250] [c248] [c247] [c245] [i62] [i61] [i59] [i58] [i57] [i56] [i44] [i43] [c243] [c236] [c234] [c233] [c232] [i34] [c228] [c206] [i20] [c175]
[c154] [e4] [c139] [j20] [j16] [j15] [j10] [j9] [j7] [c68] [c66] [c61] [c60] [c58] [j6] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c46] [c45] [c43] [c41] [c40] [c39] [c38] [j5] [j4] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [j3] [j2] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c14] [c13] [c12] [c11] [c10] [c9] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j106] [j105] [j104] [j103] [j99] [j96] [c367] [c364] [c362] [c360] [c359] [c357] [c356] [c355] [c354] [c353] [c352] [c348] [c345] [i192] [i190] [i189] [i188] [i187] [i186] [i185] [i178] [i176] [i172] [j95] [c335] [c333] [c330] [c326] [c325] [c324] [c319] [c317] [c313] [c312] [c302] [i163] [i162] [i161] [i157] [i154] [i151] [i150] [i149] [i145] [i143] [i142] [i141] [i140] [i136] [i132] [i131] [i130] [i129] [i128] [i124] [i117] [i116] [i113] [j82] [c273] [i93] [i86] [i84] [i83] [i82] [i81] [i80] [i72] [i69]
[j98] [c346] [i175] [i166] [j90] [c339] [c336] [c318] [c298] [c297] [i159] [i156] [i136] [i125] [i123] [i122] [i121] [c296] [c291] [c285] [c284] [c283] [c275] [c268] [c260] [i111] [i101] [i78] [i68] [i66] [i65] [c259] [c258] [c251] [c250] [c249] [i45] [c238] [c234] [i38] [c230] [c210] [c209] [c207] [c200] [c184]
[j89] [c297] [i159] [j84] [c292] [c290] [c282] [c279] [c274] [c268] [c261] [i110] [i109] [i105] [i104] [i101] [i100] [i99] [i94] [i87] [i77] [c259] [c257] [c256] [c254] [c252] [i64] [i63] [i60] [i55] [i53] [i52] [i51] [i50] [i49] [j73] [j71] [c242] [c240] [c239] [i40] [i39] [i38] [i37] [i36] [j68] [j67] [c228] [c227] [c225] [c222] [c221] [c220] [c219] [c218] [c217] [c215] [c213] [c212] [c211] [c205] [c202] [c197] [c196] [c195] [c193] [c191] [i30] [i29] [i27] [i22] [i21] [c186] [c182] [c173] [c169] [i13]
[c366] [i175] [i169] [j94] [j89] [c337] [c333] [c329] [c322] [c320] [c314] [c297] [i159] [i155] [i146] [i144] [i138] [i114] [j84] [c292] [c290] [c283] [c282] [c279] [c278] [c274] [c268] [c261] [i110] [i109] [i107] [i105] [i104] [i101] [i100] [i99] [i97] [i94] [i90] [i87] [i77] [i71] [j75] [c259] [c257] [c256] [c254] [c252] [i64] [i63] [i60] [i55] [i53] [i52] [i51] [i50] [i49] [j73] [j71] [c243] [c242] [c240] [c239] [i40] [i39] [i38] [i37] [i36] [j68] [j67] [c229] [c228] [c227] [c226] [c225] [c222] [c221] [c220] [c219] [c218] [c217] [c216] [c215] [c214] [c213] [c212] [c211] [c206] [c205] [c202] [c201] [c199] [c197] [c196] [c195] [c193] [c191] [i30] [i29] [i27] [i25] [i22] [i21] [c186] [c182] [c173] [c169] [i13]
[j80] [j62] [c190] [c165] [i14] [j56] [j52] [j50] [c162] [c160] [c159] [c154] [c153] [j46] [c149] [c147] [c146] [c144] [c141] [c140] [c139] [c135] [c134] [c133] [j44] [j42] [j38] [j36] [c131] [c128] [c126] [c125] [c121] [c120] [c118] [c116] [c108] [i3] [j27] [j26] [c107] [c103] [c99] [c94] [c93] [c91] [c90] [c88] [c82] [c75] [c70]
[i171] [j77] [j72] [j65] [c200] [c194] [i32] [i28] [j62] [c189] [c188] [c179] [c178] [c176] [c174] [c172] [c166] [c165] [c163] [i18] [i17] [i16] [i15] [c157] [c156] [c154] [c152] [c151] [c150] [i8] [i7] [c147] [c144] [c139] [c135] [c134] [j44] [j42] [j38] [c128] [c125] [c118] [c116] [c108] [c107] [c105] [c103]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-21 21:22 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
