default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDXiang Li 0067
Person information
- affiliation: East China Normal University, School of Data Science and Engineering, Shanghai Engineering Research Center of Big Data Management, China
- affiliation (former): University of Hong Kong, Department of Computer Science, Hong Kong
- affiliation (former): University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
Other persons with the same name
- Xiang Li (aka: Xi-ang Li) — disambiguation page
- Xiang Li 0001
![[0000-0002-9851-6376]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-9851-6376")
— Massachusetts General Hospital, Boston, MA, USA (and 1 more) - Xiang Li 0002 — RWTH Aachen, Germany
- Xiang Li 0003 — Tencent America, Palo Alto, CA, USA (and 4 more)
- Xiang Li 0004 — University of Rostock, Institute of Communications Engineering, Germany
- Xiang Li 0005 — Xi'an Jiaotong University, State Key Laboratory for Manufacturing Systems Engineering, China (and 1 more)
- Xiang Li 0006 — Aberystwyth University, Department of Computer Science, Aberstwyth, UK (and 3 more)
- Xiang Li 0007 — North China Electric Power University, School of Control and Computer Engineering, Beijing, China
- Xiang Li 0008 — Shanghai Jiao Tong University, Key Laboratory of Ministry of Education for Design and Electromagnetic Compatibility of High-Speed Electronics Systems, China
- Xiang Li 0009 — Tsinghua University, Department of Automation, Beijing, China (and 3 more)
- Xiang Li 0010 — Tongji University, Institute of Complex Networks and Intelligent Systems, Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, China (and 4 more)
- Xiang Li 0011 — Tianjin University, Department of Mechanics, School of Mechanical Engineering, China
- Xiang Li 0012 — University of Western Ontario, Computer Science Department, London, ON, Canada (and 1 more)
- Xiang Li 0013 — Ping An Healthcare Technology, Beijing, China (and 2 more)
- Xiang Li 0014 — National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China
- Xiang Li 0015 — Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan, China
- Xiang Li 0016 — Santa Clara University, Department of Computer Engineering, CA, USA (and 1 more)
- Xiang Li 0017 — Zhejiang University, Department of Computer Science and Technology, Hangzhou, China
- Xiang Li 0018 — Xi'an Jiaotong University, Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, China (and 2 more)
- Xiang Li 0019 — AeroLion Technologies Ptd. Ltd. (and 1 more)
- Xiang Li 0020 — Chinese University of Hong Kong
- Xiang Li 0021 — Chinese University of Hong Kong
- Xiang Li 0022 — Shandong Agricultural University, College of Life Sciences, State Key Laboratory of Crop Biology, Taian, China
- Xiang Li 0023 — Hohai University, College of Computer and Information Technology Engineering, Nanjing, China (and 2 more)
- Xiang Li 0024 — Beijing Institute of Technology, School of Information and Electronics, China
- Xiang Li 0025 — Yulin Normal University, School of Electronics and Communication Engineering, China (and 3 more)
- Xiang Li 0026 — China University of Mining and Technology, School of Mechatronic Engineering, Xuzhou, China
- Xiang Li 0027 — Guilin University of Electronic Technology, School of Electronic Engineering and Automation, China (and 1 more)
- Xiang Li 0028 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China (and 1 more)
- Xiang Li 0029 — Queen's University, Department of Chemical Engineering, Kingston, ON, Canada (and 3 more)
- Xiang Li 0030 — Dynex Semiconductor Ltd., Lincoln, UK (and 2 more)
- Xiang Li 0031 — Swansea University, UK
- Xiang Li 0032 — Sun Yat-sen University, School of Information Science and Technology, Guangzhou, China
- Xiang Li 0033 — East China Normal University, School of Geographic Sciences, MOE Key Laboratory of Geographic Information Science, Shanghai, China
- Xiang Li 0034 — Harbin Institute of Technology at Weihai, School of Information Science and Engineering, China
- Xiang Li 0035 — Tsinghua University, Department of Precision Instrument, Engineering Research Center for Navigation Technology, Beijing, China
- Xiang Li 0036 — Nanchang University, Department of Mathematics, China
- Xiang Li 0037 — Tianjin University, College of Electrical Engineering and Automation, China
- Xiang Li 0038 — University of California, Berkeley, CA, USA
- Xiang Li 0039 — Chongqing University, State Key Laboratory of Power Transmission Equipment and System Security, China
- Xiang Li 0040 — Singapore Institute of Manufacturing Technology, Singapore (and 1 more)
- Xiang Li 0041 — Nankai University, College of Computer Science, Tianjin, China (and 3 more)
- Xiang Li 0042 — Wuhan Research Institute of Posts and Telecommunications, State Key Laboratory of Optical Communication Technologies and Networks, Wuhan, China
- Xiang Li 0043 — University of Alabama in Huntsville, Information Technology and Systems Center, Huntsville, AL, USA
- Xiang Li 0044 — Nankai University, College of Economic and Social Development, Tianjin, China
- Xiang Li 0045 — Chinese Academy of Sciences, Institute of Information Engineering, State Key Laboratory of Information Security, Beijing, China (and 1 more)
- Xiang Li 0046 — New York University, Tandon School of Engineering, NY, USA (and 1 more)
- Xiang Li 0047 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Xiang Li 0048 — Okayama University, Graduate School of Nature Science and Technology, Okayama, Japan
- Xiang Li 0049 — Peking University, Key Laboratory of High Confidence Software Technologies, Beijing, China
- Xiang Li 0050 — Peking University, School of Mathematical Sciences, Beijing, China
- Xiang Li 0051 — Beijing Aerospace Measurement and Control Technology Company, Beijing, China
- Xiang Li 0052 — Shanghai University, School of Communication and Information Engineering, Shanghai, China
- Xiang Li 0053 — Guizhou University, School of Mechanical Engineering, Guiyang, China
- Xiang Li 0054 — Xi'an Research Institute of High Technology, Xi'an, China
- Xiang Li 0055 — Wuhan University, School of Cyber Science and Engineering, Key Laboratory of Aerospace Information Security and Trusted Computing, Wuhan, China
- Xiang Li 0056 — University of Science and Technology of China, College of Environmental Science and Optoelectronic Technology, Hefei, China
- Xiang Li 0057 — Beijing Institute of Technology, School of Aerospace Engineering, Beijing, China
- Xiang Li 0058 — Hefei University of Technology, School of Electrical Engineering and Automation, Hefei, China
- Xiang Li 0059 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Xiang Li 0060 — Chongqing College of Electronic Engineering, School of Artificial Intelligence and Big Data, Chongqing, China
- Xiang Li 0061 — University of Shanghai for Science and Technology, College of Science, Shanghai, China (and 1 more)
- Xiang Li 0062 — Air Force Engineering University, Information and Navigation College, Xi'an, China
- Xiang Li 0063 (aka: Xiang Lisa Li) — Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, MD, USA
- Xiang Li 0064 — Qilu University of Technology, Shandong Computer Science Center, Jinan, China (and 1 more)
- Xiang Li 0065 — Peking University, School of Electronics Engineering and Computer Science, Beijing, China
- Xiang Li 0066 — Cambia Health Solutions, Seattle, WA, USA (and 2 more)
- Xiang Li 0068 — Temple University, Department of Computer and Information Sciences, Philadelphia, PA, USA
- Xiang Li 0069 (aka: Xiang Lorraine Li) — University of Massachusetts, College of Information and Computer Sciences, Amherst, MA, USA (and 2 more)
- Xiang Li 0070 — China University of Geosciences, School of Computer Science, Wuhan, China
- Xiang Li 0071 — IBM T.J. Watson Research Center, Human Language Technology Department, Yorktown Heights, NY, USA (and 1 more)
- Xiang Li 0072 — Peking University, Department of Machine Intelligence, Speech and Hearing Research Center, China
- Xiang Li 0073 — Nankai University, Tianjin Key Laboratory of Intelligent Robotics, China
- Xiang Li 0074 — National University of Defense Technology, College of Liberal Arts and Sciences, Changsha, China
- Xiang Li 0075 — University of Colorado Boulder, University Libraries, CO, USA
- Xiang Li 0076 — Sichuan University, College of Computer Science, Cybersecurity Research Institute, Chengdu, China
- Xiang Li 0077 — Information Engineering University, Zhengzhou, China
- Xiang Li 0078 — Beijing Institute of System Engineering, National Key Laboratory of Science and Technology on Information System Security, China
- Xiang Li 0079 — Harbin Engineering University, College of Underwater Acoustic Engineering, China
- Xiang Li 0080 — Georgia State University, Atlanta, GA, USA
- Xiang Li 0081 — University of Cambridge, Division of Electrical Engineering, UK
- Xiang Li 0082 — North China University of Technology, Image Processing and Pattern Recognition Laboratory, Beijing, China
- Xiang Li 0083 — Beihang University, School of Transportation Science and Engineering, China
- Xiang Li 0084 — Harbin Institute of Technology, School of Astronautics, Department of Control Science and Engineering, China
- Xiang Li 0085 — Polytechnique Montréal, QC, Canada (and 1 more)
- Xiang Li 0086 — Information Engineering University, Institute of Surveying and Mapping, Zhengzhou, China
- Xiang Li 0087 — Beijing Normal University, Faculty of Geographical Science, State Key Laboratory of Earth Surface Processes and Resource Ecology, China
- Xiang Li 0088 — East China Normal University, Software Engineering Institute, Shanghai, China
- Xiang Li 0089 — Henan Polytechnic University, School of Computer Science and Technology, Jiaozuo, China
- Xiang Li 0090 — Shanghai Institute of Technology, School of Computer Science and Information Engineering, China
- Xiang Li 0091 — China Agricultural University, College of Information and Electrical Engineering, Beijing, China
- Xiang Li 0092 — Clemson University, School of Computing, SC, USA
- Xiang Li 0093 — Yellow River Conservancy Technical Institute, Kaifeng, China
- Xiang Li 0094 — Chongqing Normal University, College of Computer and Information Science, China
- Xiang Li 0095 — Medical University of Vienna, Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Austria (and 1 more)
- Xiang Li 0096 — Southern University of Science and Technology, Department of Mechanics and Aerospace Engineering, Shenzhen, China
- Xiang Li 0097 — Harbin Engineering University, College of Mechanical and Electrical Engineering, China
- Xiang Li 0098 — Harbin Engineering University, College of Information and Communication Engineering, Ministry of Industry and Information Technology Key Laboratory of Advanced Marine Communication and Information Technology, China
- Xiang Li 0099 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Xiang Li 0100 — University of Pittsburgh Cancer Institute, Department of Radiation Oncology, PA, USA (and 3 more)
- Xiang Li 0101 — University of Cambridge, UK (and 1 more)
- Xiang Li 0102 — OPPO US Research Center, USA (and 1 more)
- Xiang Li 0103 — Nanjing University of Science and Technology, School of Computer Science and Engineering, IMAG Lab, China
- Xiang Li 0104 — Xiaomi AI Lab, Beijing, China (and 1 more)
- Xiang Li 0105 — Tsinghua University, Shenzhen International Graduate School, Shenzhen, China
- Xiang Li 0106 — Carnegie Mellon University, School of Computer Science, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA
- Xiang Li 0107 — Alibaba Group, Hangzhou, China
- Xiang Li 0108 — Nankai University, China (and 1 more)
- Xiang Li 0109 — Stony Brook University, Department of Computer Science, NY, USA
- Xiang Li 0110 — Nanjing University, School of Electronic Science and Engineering China
- Xiang Li 0111 — Ocean University of China, Qingdao, China
- Xiang Li 0112 — Yanshan University, School of Information Science and Engineering, Qinhuangdao, China
- Xiang Li 0113 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Xiang Li 0114 — Shandong University of Traditional Chinese Medicine, First Clinical Medical College, Jinan, China (and 1 more)
- Xiang Li 0115 — University of Electronic Science and Technology of China, Shenzhen Institute for Advanced Study, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[c80]Xiang Li, Chen Shi, Yong Xu, Jun Huang:
LogiGraph: Logical Reasoning with Contrastive Learning and Lightweight Graph Networks. COLING 2025: 1069-1079- 2024
- [j12]Zelin Ying, Dawei Cheng, Cen Chen, Xiang Li, Peng Zhu, Yifeng Luo, Yuqi Liang:
Predicting stock market trends with self-supervised learning. Neurocomputing 568: 127033 (2024) - [j11]Gang Wang, Xiang Li, Ziyi Guo, Dawei Yin, Shuai Ma:
SMEC: Scene Mining for E-Commerce. J. Comput. Sci. Technol. 39(2): 192-210 (2024) - [j10]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
BapFL: You can Backdoor Personalized Federated Learning. ACM Trans. Knowl. Discov. Data 18(7): 166 (2024) - [j9]Jianxiang Yu, Qingqing Ge, Xiang Li, Aoying Zhou:
Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples. IEEE Trans. Knowl. Data Eng. 36(10): 5181-5193 (2024) - [j8]Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
Scalable decoupling graph neural network with feature-oriented optimization. VLDB J. 33(3): 667-683 (2024) - [c79]Jianing Wang, Qiushi Sun, Xiang Li, Ming Gao:
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. ACL (1) 2024: 4958-4981 - [c78]Chengcheng Yu, Jiapeng Zhu, Xiang Li:
GraphCBAL: Class-Balanced Active Learning for Graph Neural Networks via Reinforcement Learning. CIKM 2024: 3022-3031 - [c77]Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Weizhi Ma, Jiaxin Mao:
Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. CIKM 2024: 3374-3383 - [c76]Ruidong Han, Qianzhong Li, He Jiang, Rui Li, Yurou Zhao, Xiang Li, Wei Lin:
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework. CIKM 2024: 3777-3781 - [c75]Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang:
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. LREC/COLING 2024: 773-783 - [c74]Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian:
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition. LREC/COLING 2024: 3707-3717 - [c73]Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao:
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. LREC/COLING 2024: 10958-10969 - [c72]Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
Structure-aware Fine-tuning for Code Pre-trained Models. LREC/COLING 2024: 15362-15372 - [c71]Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li:
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. LREC/COLING 2024: 16713-16726 - [c70]Wei Liu, Shangsong Liang, Huaijie Zhu, Leong Hou U, Jianxing Yu, Xiang Li, Jian Yin:
Variational Kernel Density Estimation Recommendation Algorithm for Users with Diverse Activity Levels. DASFAA (2) 2024: 3-18 - [c69]Xiang Li, Zhenyan Lu, Dongqi Cai, Xiao Ma, Mengwei Xu:
Large Language Models on Mobile Devices: Measurements, Analysis, and Insights. EdgeFM@MobiSys 2024: 1-6 - [c68]Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, Renjing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, Xiang Li:
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. EMNLP (Findings) 2024: 10164-10184 - [c67]Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao:
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence. ICASSP 2024: 7595-7599 - [c66]Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li:
Training-free Multi-objective Diffusion Model for 3D Molecule Generation. ICLR 2024 - [c65]Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li:
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. KDD 2024: 433-444 - [c64]Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu:
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. KDD 2024: 6291-6300 - [c63]Jinliang Yuan, Chen Yang, Dongqi Cai, Shihe Wang, Xin Yuan, Zeling Zhang, Xiang Li, Dingge Zhang, Hanzi Mei, Xianqing Jia, Shangguang Wang, Mengwei Xu:
Mobile Foundation Model as Firmware. MobiCom 2024: 279-295 - [c62]Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao:
Cross-model Control: Improving Multiple Large Language Models in One-time Training. NeurIPS 2024 - [c61]Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu:
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. NSDI 2024: 745-760 - [c60]Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang:
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness. ECML/PKDD (6) 2024: 57-73 - [c59]Chenghua Gong, Xiang Li, Jianxiang Yu, Yao Cheng, Jiaqi Tan, Chengcheng Yu:
Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks. ECML/PKDD (2) 2024: 197-215 - [c58]Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin:
PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks. ECML/PKDD (5) 2024: 423-439 - [c57]Zhizhong Wan, Bin Yin, Junjie Xie, Fei Jiang, Xiang Li, Wei Lin:
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding. RecSys 2024: 23-32 - [c56]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
UPFL: Unsupervised Personalized Federated Learning towards New Clients. SDM 2024: 851-859 - [c55]Li Zhang, Zhe Fu, Boqing Shi, Xiang Li, Rujin Lai, Chenyang Yang, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu:
More is Different: Prototyping and Analyzing a New Form of Edge Server with Massive Mobile SoCs. USENIX ATC 2024: 285-302 - [c54]Mengwei Xu, Dongqi Cai, Yaozong Wu, Xiang Li, Shangguang Wang:
FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences. USENIX ATC 2024: 579-596 - [c53]Zhichao Feng, Junjie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang:
Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai. WWW (Companion Volume) 2024: 355-363 - [i82]Chenghua Gong, Yao Cheng, Jianxiang Yu, Can Xu, Caihua Shan, Siqiang Luo, Xiang Li:
Towards Learning from Graphs with Heterophily: Progress and Future. CoRR abs/2401.09769 (2024) - [i81]Chengcheng Yu, Jiapeng Zhu, Xiang Li:
Class-Balanced and Reinforced Active Learning on Graphs. CoRR abs/2402.10074 (2024) - [i80]Xiang Li, Yunshi Lan, Chao Yang:
TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning. CoRR abs/2402.13125 (2024) - [i79]Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu:
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. CoRR abs/2402.15627 (2024) - [i78]Yongquan He, Xuancheng Huang, Minghao Tang, Lingxun Meng, Xiang Li, Wei Lin, Wenyuan Zhang, Yifu Gao:
Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning. CoRR abs/2403.10056 (2024) - [i77]Zhichao Feng, Junjie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang:
Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai. CoRR abs/2403.12566 (2024) - [i76]Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang, Wei Lin:
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. CoRR abs/2403.12582 (2024) - [i75]Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu:
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. CoRR abs/2403.14734 (2024) - [i74]Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
Structure-aware Fine-tuning for Code Pre-trained Models. CoRR abs/2404.07471 (2024) - [i73]Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu:
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. CoRR abs/2407.00912 (2024) - [i72]Can Xu, Yao Cheng, Jianxiang Yu, Haosen Wang, Jingsong Lv, Xiang Li:
Improving Graph Out-of-distribution Generalization on Real-world Data. CoRR abs/2407.10204 (2024) - [i71]Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, Renjing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, Xiang Li:
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. CoRR abs/2407.12857 (2024) - [i70]Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Jiaxin Mao:
Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. CoRR abs/2407.13274 (2024) - [i69]Ruidong Han, Qianzhong Li, He Jiang, Rui Li, Yurou Zhao, Xiang Li, Wei Lin:
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework. CoRR abs/2407.19658 (2024) - [i68]Xiufeng Shu, Ruidong Han, Xiang Li, Wei Lin:
Adaptive Utilization of Cross-scenario Information for Multi-scenario Recommendation. CoRR abs/2407.19727 (2024) - [i67]Yao Cheng, Yige Zhao, Jianxiang Yu, Xiang Li:
Boosting Graph Foundation Model from Structural Perspective. CoRR abs/2407.19941 (2024) - [i66]Jiapeng Zhu, Zichen Ding, Jianxiang Yu, Jiaqi Tan, Xiang Li, Weining Qian:
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning. CoRR abs/2408.03195 (2024) - [i65]Zhizhong Wan, Bin Yin, Junjie Xie, Fei Jiang, Xiang Li, Wei Lin:
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding. CoRR abs/2408.11523 (2024) - [i64]Kangyang Luo, Shuai Wang, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu:
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator. CoRR abs/2409.06955 (2024) - [i63]Kangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu:
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning. CoRR abs/2409.07734 (2024) - [i62]Hanqi Duan, Yao Cheng, Jianxiang Yu, Xiang Li:
Can Large Language Models Act as Ensembler for Multi-GNNs? CoRR abs/2410.16822 (2024) - [i61]Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao:
Cross-model Control: Improving Multiple Large Language Models in One-time Training. CoRR abs/2410.17599 (2024) - [i60]Kangyang Luo, Zichen Ding, Zhenmin Weng, Lingfeng Qiao, Meng Zhao, Xiang Li, Di Yin, Jinlong Shu:
Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models. CoRR abs/2410.21728 (2024) - [i59]Rongjie Yi, Xiang Li, Weikai Xie, Zhenyan Lu, Chenghua Wang, Ao Zhou, Shangguang Wang, Xiwen Zhang, Mengwei Xu:
PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training. CoRR abs/2411.05046 (2024) - [i58]Jianxiang Yu, Jiaqi Tan, Zichen Ding, Jiapeng Zhu, Jiahao Li, Yao Cheng, Qier Cui, Yunshi Lan, Xiang Li:
SEAGraph: Unveiling the Whole Story of Paper Review Comments. CoRR abs/2412.11939 (2024) - [i57]Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao:
PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization. CoRR abs/2412.14510 (2024) - [i56]Yibo Zhao, Jiapeng Zhu, Can Xu, Xiang Li:
Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph. CoRR abs/2412.15268 (2024) - 2023
- [c52]Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. ACL (Findings) 2023: 868-880 - [c51]Mengyi Yuan, Minjie Chen, Xiang Li:
MUSE: Multi-view Contrastive Learning for Heterophilic Graphs via Information Reconstruction. CIKM 2023: 3094-3103 - [c50]Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao:
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting. CVPR 2023: 3708-3717 - [c49]Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou:
Meta-learning Siamese Network for Few-Shot Text Classification. DASFAA (3) 2023: 737-752 - [c48]Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao:
Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization. ECAI 2023: 1625-1632 - [c47]Nuo Chen, Qiushi Sun, Jianing Wang, Xiang Li, Ming Gao:
Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning. EMNLP (Findings) 2023: 577-591 - [c46]Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li:
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. EMNLP (Findings) 2023: 7873-7884 - [c45]Chengcheng Han, Xiaowei Du, Che Zhang, Yixin Lian, Xiang Li, Ming Gao, Baoyuan Wang:
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models. EMNLP 2023: 8055-8068 - [c44]Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li:
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. EMNLP (Findings) 2023: 14857-14873 - [c43]Zhihui Zhang, Jianxiang Yu, Xiang Li:
Context-Aware Session-Based Recommendation with Graph Neural Networks. ICKG 2023: 35-44 - [c42]Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao:
Graph Self-Contrast Representation Learning. ICDM 2023: 31-40 - [c41]Yueqi Ma, Minjie Chen, Xiang Li:
DropMix: Better Graph Contrastive Learning with Harder Negative Samples. ICDM (Workshops) 2023: 1105-1112 - [c40]Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li:
Explaining Temporal Graph Models through an Explorer-Navigator Framework. ICLR 2023 - [c39]Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu:
Modeling Dual Period-Varying Preferences for Takeaway Recommendation. KDD 2023: 5628-5638 - [c38]Yunshi Lan, Xiang Li, Xin Liu, Yang Li, Wei Qin, Weining Qian:
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts. ACM Multimedia 2023: 4389-4400 - [c37]Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi:
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings. NeurIPS 2023 - [c36]Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao:
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning. NeurIPS 2023 - [c35]Xiang Li, Hanyue Du, Yike Zhao, Yunshi Lan:
Towards Robust Chinese Spelling Check Systems: Multi-round Error Correction with Ensemble Enhancement. NLPCC (3) 2023: 325-336 - [c34]Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin:
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM. RecSys 2023: 599-601 - [c33]Jianxiang Yu, Xiang Li:
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples. SDM 2023: 37-45 - [c32]Ran Le, Guoqing Jiang, Xiufeng Shu, Ruidong Han, Qianzhong Li, Yacheng Li, Xiang Li, Wei Lin:
CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model. SIGIR 2023: 1879-1883 - [c31]Chen Ji, Yacheng Li, Rui Li, Fei Jiang, Xiang Li, Wei Lin, Chenglong Zhang, Wei Wang, Shuyang Wang:
Interactive Recommendation System for Meituan Waimai. SIGIR 2023: 3245-3249 - [c30]Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao:
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. WWW 2023: 143-153 - [c29]Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan:
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. WWW 2023: 684-693 - [i55]Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao:
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. CoRR abs/2301.12458 (2023) - [i54]Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou:
Meta-Learning Siamese Network for Few-Shot Text Classification. CoRR abs/2302.03507 (2023) - [i53]Chengcheng Han, Renyu Zhu, Jun Kuang, FengJiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Wei Wu:
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition. CoRR abs/2302.07739 (2023) - [i52]Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao:
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting. CoRR abs/2302.14307 (2023) - [i51]Yihao Zhao, Xin Liu, Shufan Liu, Xiang Li, Yibo Zhu, Gang Huang, Xuanzhe Liu, Xin Jin:
MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters. CoRR abs/2303.13803 (2023) - [i50]Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan:
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. CoRR abs/2305.05848 (2023) - [i49]Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao:
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. CoRR abs/2305.08088 (2023) - [i48]Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. CoRR abs/2305.10013 (2023) - [i47]Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu:
Modeling Dual Period-Varying Preferences for Takeaway Recommendation. CoRR abs/2306.04370 (2023) - [i46]Jianing Wang, Qiushi Sun, Nuo Chen, Xiang Li, Ming Gao:
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. CoRR abs/2306.06427 (2023) - [i45]Qiushi Sun, Nuo Chen, Jianing Wang, Xiang Li, Ming Gao:
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. CoRR abs/2306.07285 (2023) - [i44]Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao:
Decentralized Local Updates with Dual-Slow Estimation and Momentum-based Variance-Reduction for Non-Convex Optimization. CoRR abs/2307.08299 (2023) - [i43]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
You Can Backdoor Personalized Federated Learning. CoRR abs/2307.15971 (2023) - [i42]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
UPFL: Unsupervised Personalized Federated Learning towards New Clients. CoRR abs/2307.15994 (2023) - [i41]Mengyi Yuan, Minjie Chen, Xiang Li:
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs. CoRR abs/2307.16026 (2023) - [i40]Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin:
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM. CoRR abs/2308.03333 (2023) - [i39]Mengwei Xu, Yaozong Wu, Dongqi Cai, Xiang Li, Shangguang Wang:
Federated Fine-tuning of Billion-Sized Language Models across Mobile Devices. CoRR abs/2308.13894 (2023) - [i38]Jinliang Yuan, Chen Yang, Dongqi Cai, Shihe Wang, Xin Yuan, Zeling Zhang, Xiang Li, Dingge Zhang, Hanzi Mei, Xianqing Jia, Shangguang Wang, Mengwei Xu:
Rethinking Mobile AI Ecosystem in the LLM Era. CoRR abs/2308.14363 (2023) - [i37]Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian:
Exchanging-based Multimodal Fusion with Transformer. CoRR abs/2309.02190 (2023) - [i36]Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao:
Graph Self-Contrast Representation Learning. CoRR abs/2309.02304 (2023) - [i35]Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao:
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning. CoRR abs/2309.13546 (2023) - [i34]Qiushi Sun, Zhangyue Yin, Xiang Li, Zhiyong Wu, Xipeng Qiu, Lingpeng Kong:
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration. CoRR abs/2310.00280 (2023) - [i33]Chengcheng Han, Xiaowei Du, Che Zhang, Yixin Lian, Xiang Li, Ming Gao, Baoyuan Wang:
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models. CoRR abs/2310.05074 (2023) - [i32]Zhihui Zhang, Jianxiang Yu, Xiang Li:
Context-aware Session-based Recommendation with Graph Neural Networks. CoRR abs/2310.09593 (2023) - [i31]Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang:
Empower Text-Attributed Graphs Learning with Large Language Models (LLMs). CoRR abs/2310.09872 (2023) - [i30]Chenghua Gong, Xiang Li, Jianxiang Yu, Cheng Yao, Jiaqi Tan, Chengcheng Yu, Dawei Yin:
Prompt Tuning for Multi-View Graph Contrastive Learning. CoRR abs/2310.10362 (2023) - [i29]Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li:
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. CoRR abs/2310.13022 (2023) - [i28]Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li:
Label Propagation for Graph Label Noise. CoRR abs/2310.16560 (2023) - [i27]Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin:
Enhancing Graph Neural Networks with Structure-Based Prompt. CoRR abs/2310.17394 (2023) - [i26]Qingqing Ge, Jianxiang Yu, Zeyuan Zhao, Xiang Li:
Resist Label Noise with PGM for Graph Neural Networks. CoRR abs/2311.02116 (2023) - [i25]Yao Cheng, Minjie Chen, Xiang Li, Caihua Shan, Ming Gao:
Prioritized Propagation in Graph Neural Networks. CoRR abs/2311.02832 (2023) - [i24]Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang:
Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks. CoRR abs/2311.03275 (2023) - [i23]Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang:
Self-supervised Heterogeneous Graph Variational Autoencoders. CoRR abs/2311.07929 (2023) - [i22]Yunshi Lan, Xiang Li, Xin Liu, Yang Li, Wei Qin, Weining Qian:
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts. CoRR abs/2311.09050 (2023) - [i21]Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao:
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence. CoRR abs/2311.12358 (2023) - 2022
- [j7]Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. Proc. VLDB Endow. 15(11): 3240-3248 (2022) - [j6]Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng:
SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 34(4): 1980-1992 (2022) - [c28]Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai:
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. ACL (1) 2022: 5142-5153 - [c27]Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, Ben Kao:
Lexical Knowledge Internalization for Neural Dialog Generation. ACL (1) 2022: 7945-7958 - [c26]Jianing Wang, Wenkang Huang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Xiang Li, Ming Gao:
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. EMNLP 2022: 3164-3177 - [c25]Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao:
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. EMNLP (Findings) 2022: 4000-4008 - [c24]Wenlin Dai, Changhe Song, Xiang Li, Zhiyong Wu, Huashan Pan, Xiulin Li, Helen Meng:
An End-to-End Chinese Text Normalization Model Based on Rule-Guided Flat-Lattice Transformer. ICASSP 2022: 7122-7126 - [c23]Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian:
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. ICML 2022: 13242-13256 - [c22]Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan:
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. IJCAI 2022: 2101-2107 - [c21]Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang:
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network. IJCAI 2022: 2108-2114 - [c20]Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu:
A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. WWW 2022: 3298-3307 - [i20]Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu:
A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. CoRR abs/2202.06512 (2022) - [i19]Wenlin Dai, Changhe Song, Xiang Li, Zhiyong Wu, Huashan Pan, Xiulin Li, Helen Meng:
An End-to-end Chinese Text Normalization Model based on Rule-guided Flat-Lattice Transformer. CoRR abs/2203.16954 (2022) - [i18]Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, Ben Kao:
Lexical Knowledge Internalization for Neural Dialog Generation. CoRR abs/2205.01941 (2022) - [i17]Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian:
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. CoRR abs/2205.07308 (2022) - [i16]Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan:
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. CoRR abs/2205.15083 (2022) - [i15]Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai:
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. CoRR abs/2206.04730 (2022) - [i14]Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang:
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network. CoRR abs/2206.13953 (2022) - [i13]Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. CoRR abs/2207.09179 (2022) - [i12]Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao:
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. CoRR abs/2210.04633 (2022) - [i11]Jianing Wang, Wenkang Huang, Qiuhui Shi, Hongbin Wang, Minghui Qiu, Xiang Li, Ming Gao:
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. CoRR abs/2210.08536 (2022) - [i10]Li Zhang, Zhe Fu, Boqing Shi, Xiang Li, Rujin Lai, Chenyang Chen, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu:
SoC-Cluster as an Edge Server: an Application-driven Measurement Study. CoRR abs/2212.12842 (2022) - [i9]Jianxiang Yu, Xiang Li:
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples. CoRR abs/2212.13847 (2022) - 2021
- [j5]Shunyu Jiang, Fuli Feng, Weijian Chen, Xiang Li, Xiangnan He:
Structure-enhanced meta-learning for few-shot graph classification. AI Open 2: 160-167 (2021) - [c19]Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, Ben Kao:
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. ACL/IJCNLP (1) 2021: 6153-6166 - [c18]Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, Shuai Ma:
SceneRec: Scene-Based Graph Neural Networks for Recommender Systems. EDBT 2021: 397-402 - [c17]Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis:
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks. ICDE 2021: 912-923 - [c16]Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li:
Reinforcement Learning Enhanced Explainer for Graph Neural Networks. NeurIPS 2021: 22523-22533 - [c15]Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin:
Disentangling User Interest and Conformity for Recommendation with Causal Embedding. WWW 2021: 2980-2991 - [i8]Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, Shuai Ma:
SceneRec: Scene-Based Graph Neural Networks for Recommender Systems. CoRR abs/2102.06401 (2021) - [i7]Shunyu Jiang, Fuli Feng, Weijian Chen, Xiang Li, Xiangnan He:
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification. CoRR abs/2103.03547 (2021) - [i6]Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, Ben Kao:
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. CoRR abs/2105.14462 (2021) - 2020
- [c14]Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li:
A General Early-Stopping Module for Crowdsourced Ranking. DASFAA (2) 2020: 314-330 - [c13]Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian:
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. ICDE 2020: 49-60 - [c12]Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester:
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. KDD 2020: 439-449 - [i5]Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester:
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. CoRR abs/2006.04435 (2020) - [i4]Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin:
Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding. CoRR abs/2006.11011 (2020) - [i3]Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis:
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks. CoRR abs/2012.10024 (2020)
2010 – 2019
- 2019
- [c11]Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin:
Spectral Clustering in Heterogeneous Information Networks. AAAI 2019: 4221-4228 - [i2]Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian:
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. CoRR abs/1911.01030 (2019) - [i1]Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li:
A General Early-Stopping Module for Crowdsourced Ranking. CoRR abs/1911.01042 (2019) - 2018
- [c10]Xiang Li, Ben Kao, Siqiang Luo, Martin Ester:
ROSC: Robust Spectral Clustering on Multi-scale Data. WWW 2018: 157-166 - 2017
- [c9]Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng:
Semi-supervised Clustering in Attributed Heterogeneous Information Networks. WWW 2017: 1621-1629 - 2016
- [j4]Mengting Li, Xiang Li, Jian Yin:
TORD Problem and Its Solution Based on Big Trajectories Data. IEEE Trans. Intell. Transp. Syst. 17(6): 1666-1677 (2016) - [j3]Xiang Li, Mengting Li, Yue-Jiao Gong, Xinglin Zhang, Jian Yin:
T-DesP: Destination Prediction Based on Big Trajectory Data. IEEE Trans. Intell. Transp. Syst. 17(8): 2344-2354 (2016) - [c8]Xiang Li, Ben Kao, Yudian Zheng, Zhipeng Huang:
On Transductive Classification in Heterogeneous Information Networks. CIKM 2016: 811-820 - [c7]Zhipeng Huang, Yudian Zheng, Reynold Cheng, Yizhou Sun, Nikos Mamoulis, Xiang Li:
Meta Structure: Computing Relevance in Large Heterogeneous Information Networks. KDD 2016: 1595-1604 - 2015
- [c6]Chang Wan, Xiang Li, Ben Kao, Xiao Yu, Quanquan Gu, David Wai-Lok Cheung, Jiawei Han:
Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks. CIKM 2015: 443-452 - 2013
- [c5]Xiang Li, Shaoyin Cheng, Wenlong Chen, Fan Jiang:
Novel user influence measurement based on user interaction in microblog. ASONAM 2013: 615-619 - [c4]Luyi Mo, Reynold Cheng, Xiang Li, David W. Cheung, Xuan S. Yang:
Cleaning uncertain data for top-k queries. ICDE 2013: 134-145 - [c3]Xiang Li, Shaoyin Cheng, Wenlong Chen, Fan Jiang:
Effective Method for Promoting Viral Marketing in Microblog. SocialCom 2013: 665-670 - [c2]Chengyu Wang, Bing Xiao, Xiang Li, Jiawen Zhu, Xiaofeng He, Rong Zhang:
Predicting Users' Age Range in Micro-blog Network. WISE (1) 2013: 516-521 - 2012
- [c1]Guangyu Yin, Fan Jiang, Shaoyin Cheng, Xiang Li, Xing He:
AUTrust: A Practical Trust Measurement for Adjacent Users in Social Networks. CGC 2012: 360-367 - 2011
- [j2]Liwen Sun, Reynold Cheng, Xiang Li, David W. Cheung, Jiawei Han:
On Link-based Similarity Join. Proc. VLDB Endow. 4(11): 714-725 (2011) - 2010
- [j1]Reynold Cheng, Eric Lo, Xuan S. Yang, Ming-Hay Luk, Xiang Li, Xike Xie:
Explore or Exploit? Effective Strategies for Disambiguating Large Databases. Proc. VLDB Endow. 3(1): 815-825 (2010)
Coauthor Index
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 2025-03-22 01:12 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:
