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2020 – today
- 2025
[j45]Yupeng Wang, Can Xu, Yongli Wang
, Xiaoli Wang, Weiping Ding:
Graph-in-graph discriminative feature enhancement network for fine-grained visual classification. Appl. Intell. 55(1): 22 (2025)- 2024
- [j44]Yupeng Wang, Can Xu, Yongli Wang, Xiaoli Wang, Weiping Ding:
Adversarially attack feature similarity for fine-grained visual classification. Appl. Soft Comput. 163: 111945 (2024) - [j43]Yujun Yang, Can Xu:
On two conjectures concerning spanning tree edge dependences of graphs. Discret. Appl. Math. 344: 32-42 (2024) - [j42]Zihao Liu, Tianbao Huang, Yong Wu, Xiaoli Zhang, Chunxiao Liu, Zhibo Yu, Can Xu, Guanglong Ou:
Aboveground biomass inversion of forestland in a Jinsha River dry-hot valley by integrating high and medium spatial resolution optical images: A case study on Yuanmou County of Southwest China. Ecol. Informatics 83: 102796 (2024) - [j41]Qinyu Zhu, Can Xu, Shuailong Zhao, Xuefeng Tao, Yasheng Zhang, Haicheng Tao, Xia Wang, Yuqiang Fang:
A Space Object Optical Scattering Characteristics Analysis Model Based on Augmented Implicit Neural Representation. Remote. Sens. 16(17): 3316 (2024) - [j40]Can Xu:
Deep Learning Model Construction of Urban Planning Image Data Processing and Health Intelligence System. Scalable Comput. Pract. Exp. 25(5): 4383-4389 (2024) - [j39]Jishun Li, Yasheng Zhang, Canbin Yin, Can Xu, Pengju Li, Jun He:
A Novel Joint Motion Compensation Algorithm for ISAR Imaging Based on Entropy Minimization. Sensors 24(13): 4332 (2024) - [j38]Xia Wang, Zhi Li, Can Xu, Yurong Huo, Fei Feng, Song Qiu, Kaiyuan Zheng, Jiayu Qiu:
Star Suppression Based on Structure of Star Groups for Geosynchronous Object Detection Using Wide-Field Telescopes. IEEE Trans. Aerosp. Electron. Syst. 60(3): 3160-3176 (2024) - [j37]Can Xu, Le Hui, Yuehui Han, Haobo Jiang, Jiaxin Chen, Jin Xie, Jian Yang:
Learning Local Semantic Region Activations for Weakly Supervised Object Localization. IEEE Trans. Circuits Syst. Video Technol. 34(10): 10182-10193 (2024) - [j36]Xingyu Chen, Weihua Zhang, Haijian Bai, Can Xu, Heng Ding, Wenjuan Huang:
Two-Dimensional Following Lane-Changing (2DF-LC): A Framework for Dynamic Decision-Making and Rapid Behavior Planning. IEEE Trans. Intell. Veh. 9(1): 427-445 (2024) - [j35]Hongyang Chen, Can Xu, Lingyu Zheng, Qiang Zhang, Xuemin Lin:
Diffusion-Based Graph Generative Methods. IEEE Trans. Knowl. Data Eng. 36(12): 7954-7972 (2024) - [j34]Yupeng Wang, Yongli Wang, Can Xu, Xiaoli Wang, Yong Zhang:
Computer vision-driven forest wildfire and smoke recognition via IoT drone cameras. Wirel. Networks 30(8): 7603-7616 (2024) - [c87]Can Xu, Haosen Wang, Weigang Wang, Pengfei Zheng, Hongyang Chen:
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation. AAAI 2024: 338-346 - [c86]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang:
Fine-Grained Distillation for Long Document Retrieval. AAAI 2024: 19732-19740 - [c85]Zhaojian Yu, Xin Zhang, Ning Shang, Yangyu Huang, Can Xu, Yishujie Zhao, Wenxiang Hu, Qiufeng Yin:
WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning. ACL (1) 2024: 5140-5153 - [c84]Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang:
Synergistic Interplay between Search and Large Language Models for Information Retrieval. ACL (1) 2024: 9571-9583 - [c83]Chongyang Tao, Chang Liu, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang:
ADAM: Dense Retrieval Distillation with Adaptive Dark Examples. ACL (Findings) 2024: 11639-11651 - [c82]Can Xu, Yaqin Huang, Xinni Xiang, Haike Lei, Jie Yang:
Detection of Venous Thromboembolism Using Recurrent Neural Networks with Time-Series Data. CACML 2024: 170-175 - [c81]Can Xu, Yuehui Han, Rui Xu, Le Hui, Jin Xie, Jian Yang:
Multi-Attribute Interactions Matter for 3D Visual Grounding. CVPR 2024: 17253-17262 - [c80]Shibo Zhao, Yuanjun Gao, Tianhao Wu, Damanpreet Singh, Rushan Jiang, Haoxiang Sun, Mansi Sarawata, Yuheng Qiu, Warren Whittaker, Ian Higgins, Yi Du, Shaoshu Su, Can Xu, John Keller, Jay Karhade, Lucas Nogueira, Sourojit Saha, Ji Zhang, Wenshan Wang, Chen Wang, Sebastian A. Scherer:
SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments. CVPR 2024: 22647-22657 - [c79]Yuehui Han, Can Xu, Rui Xu, Jianjun Qian, Jin Xie:
Masked Motion Prediction with Semantic Contrast for Point Cloud Sequence Learning. ECCV (76) 2024: 414-431 - [c78]Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen:
Automatic Instruction Evolving for Large Language Models. EMNLP 2024: 6998-7018 - [c77]Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-Guang Lou, Shuai Ma:
Re-Reading Improves Reasoning in Large Language Models. EMNLP 2024: 15549-15575 - [c76]Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu, Yuxuan Lai, Chongyang Tao, Shuai Ma:
Leveraging Large Language Models for NLG Evaluation: Advances and Challenges. EMNLP 2024: 16028-16045 - [c75]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 - [c74]Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
WizardCoder: Empowering Code Large Language Models with Evol-Instruct. ICLR 2024 - [c73]Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang:
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. ICLR 2024 - [c72]Haosen Wang, Can Xu, Chenglong Shi, Pengfei Zheng, Shiming Zhang, Minhao Cheng, Hongyang Chen:
Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering. KDD 2024: 3057-3068 - [i67]Can Xu, Haosen Wang, Weigang Wang, Pengfei Zheng, Hongyang Chen:
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation. CoRR abs/2401.02683 (2024) - [i66]Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu, Chongyang Tao:
Leveraging Large Language Models for NLG Evaluation: A Survey. CoRR abs/2401.07103 (2024) - [i65]Hongyang Chen, Can Xu, Lingyu Zheng, Qiang Zhang, Xuemin Lin:
Diffusion-based graph generative methods. CoRR abs/2401.15617 (2024) - [i64]Xiaohan Xu, Ming Li, Chongyang Tao, Tao Shen, Reynold Cheng, Jinyang Li, Can Xu, Dacheng Tao, Tianyi Zhou:
A Survey on Knowledge Distillation of Large Language Models. CoRR abs/2402.13116 (2024) - [i63]Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou:
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR abs/2404.14219 (2024) - [i62]Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen:
Automatic Instruction Evolving for Large Language Models. CoRR abs/2406.00770 (2024) - [i61]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) - [i60]Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen:
Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena. CoRR abs/2407.10627 (2024) - [i59]Mengkang Hu, Pu Zhao, Can Xu, Qingfeng Sun, Jianguang Lou, Qingwei Lin, Ping Luo, Saravan Rajmohan, Dongmei Zhang:
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation. CoRR abs/2408.00764 (2024) - [i58]Yuxia Geng, Runkai Zhu, Jiaoyan Chen, Jintai Chen, Zhuo Chen, Xiang Chen, Can Xu, Yuxiang Wang, Xiaoliang Xu:
Cross-composition Feature Disentanglement for Compositional Zero-shot Learning. CoRR abs/2408.09786 (2024) - 2023
- [j33]Can Xu, Chang Liu:
Auditory Models for Formant Frequency Discrimination of Vowel Sounds. Inf. 14(8): 429 (2023) - [j32]Can Xu, Yin Zhang, Hongyang Chen, Ligang Dong, Weigang Wang:
A fairness-aware graph contrastive learning recommender framework for social tagging systems. Inf. Sci. 640: 119064 (2023) - [j31]Can Xu, Wenxi Lang, Rui Xin, Kaichen Mao, Haiyan Jiang:
Corrigendum to "Generative detect for occlusion object based on occlusion generation and feature completing" [J. Visual Commun. Image Represent. 78 (2021) 103189]. J. Vis. Commun. Image Represent. 93: 103809 (2023) - [j30]Tianbao Huang, Guanglong Ou, Yong Wu, Xiaoli Zhang, Zihao Liu, Hui Xu, Xiongwei Xu, Zhenghui Wang, Can Xu:
Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data. Remote. Sens. 15(14): 3550 (2023) - [j29]Junling Wang, Yupeng Wang, Liping Liu, Hengfu Yin, Ning Ye, Can Xu:
Weakly Supervised Forest Fire Segmentation in UAV Imagery Based on Foreground-Aware Pooling and Context-Aware Loss. Remote. Sens. 15(14): 3606 (2023) - [j28]Han Sun, Wenxi Lang, Can Xu, Ningzhong Liu, Huiyu Zhou:
Graph-based discriminative features learning for fine-grained image retrieval. Signal Process. Image Commun. 110: 116885 (2023) - [j27]Can Xu, Wanzhong Zhao, Chunyan Wang, Taowen Cui, Chen Lv:
Driving Behavior Modeling and Characteristic Learning for Human-like Decision-Making in Highway. IEEE Trans. Intell. Veh. 8(2): 1994-2005 (2023) - [j26]Jinqiang Liu, Wanzhong Zhao, Chunyan Wang, Can Xu, Lin Li, Qingyun Chen, Yubo Lian:
Eco-Friendly On-Ramp Merging Strategy for Connected and Automated Vehicles in Heterogeneous Traffic. IEEE Trans. Veh. Technol. 72(11): 13888-13900 (2023) - [c71]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang:
Towards Robust Ranker for Text Retrieval. ACL (Findings) 2023: 5387-5401 - [c70]Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin:
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. ACL (1) 2023: 7348-7363 - [c69]Meng Cao, Fangyun Wei, Can Xu, Xiubo Geng, Long Chen, Can Zhang, Yuexian Zou, Tao Shen, Daxin Jiang:
Iterative Proposal Refinement for Weakly-Supervised Video Grounding. CVPR 2023: 6524-6534 - [c68]Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang:
Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. ECAI 2023: 2543-2551 - [c67]Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. ICCV 2023: 11172-11183 - [c66]Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang:
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. ICLR 2023 - [c65]Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang:
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP. ICLR 2023 - [c64]Zefeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang:
HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization. ICLR 2023 - [c63]Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang:
UnifieR: A Unified Retriever for Large-Scale Retrieval. KDD 2023: 4787-4799 - [c62]Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen:
Latent User Intent Modeling for Sequential Recommenders. WWW (Companion Volume) 2023: 427-431 - [c61]Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang:
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. WWW 2023: 3203-3213 - [i57]Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwen Lin, Daxin Jiang:
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval. CoRR abs/2302.02908 (2023) - [i56]Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Daxin Jiang:
WizardLM: Empowering Large Language Models to Follow Complex Instructions. CoRR abs/2304.12244 (2023) - [i55]Kunzhe Song, Qingfeng Sun, Can Xu, Kai Zheng, Yaming Yang:
Self-Supervised Multi-Modal Sequential Recommendation. CoRR abs/2304.13277 (2023) - [i54]Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
Augmented Large Language Models with Parametric Knowledge Guiding. CoRR abs/2305.04757 (2023) - [i53]Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang:
Knowledge Refinement via Interaction Between Search Engines and Large Language Models. CoRR abs/2305.07402 (2023) - [i52]Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
WizardCoder: Empowering Code Large Language Models with Evol-Instruct. CoRR abs/2306.08568 (2023) - [i51]Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang:
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning. CoRR abs/2307.15411 (2023) - [i50]Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang:
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. CoRR abs/2308.09583 (2023) - [i49]Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jianguang Lou:
Re-Reading Improves Reasoning in Language Models. CoRR abs/2309.06275 (2023) - [i48]Zhaojian Yu, Xin Zhang, Ning Shang, Yangyu Huang, Can Xu, Yishujie Zhao, Wenxiang Hu, Qiufeng Yin:
WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation. CoRR abs/2312.14187 (2023) - 2022
- [j25]Zongkai Cai, Zhigang Zheng, Can Xu:
Exact dynamics of phase transitions in oscillator populations with nonlinear coupling. Commun. Nonlinear Sci. Numer. Simul. 107: 106129 (2022) - [j24]Wenxi Lang, Han Sun, Can Xu, Ningzhong Liu, Huiyu Zhou:
Discriminative feature mining hashing for fine-grained image retrieval. J. Vis. Commun. Image Represent. 87: 103592 (2022) - [j23]Boyi Li, Adu Gong, Tingting Zeng, Wenxuan Bao, Can Xu, Zhiqing Huang:
A Zoning Earthquake Casualty Prediction Model Based on Machine Learning. Remote. Sens. 14(1): 30 (2022) - [j22]Xuelian Peng, Dianyu Chen, Zhenjiang Zhou, Zhitao Zhang, Can Xu, Qing Zha, Fang Wang, Xiaotao Hu:
Prediction of the Nitrogen, Phosphorus and Potassium Contents in Grape Leaves at Different Growth Stages Based on UAV Multispectral Remote Sensing. Remote. Sens. 14(11): 2659 (2022) - [j21]Jian Feng, Chunyan Wang, Can Xu, Dengming Kuang, Wanzhong Zhao:
Active Collision Avoidance Strategy Considering Motion Uncertainty of the pedestrian. IEEE Trans. Intell. Transp. Syst. 23(4): 3543-3555 (2022) - [j20]Jinqiang Liu, Wanzhong Zhao, Can Xu:
An Efficient On-Ramp Merging Strategy for Connected and Automated Vehicles in Multi-Lane Traffic. IEEE Trans. Intell. Transp. Syst. 23(6): 5056-5067 (2022) - [j19]Ziyu Zhang, Chunyan Wang, Wanzhong Zhao, Can Xu, Guoping Chen:
Driving Authority Allocation Strategy Based on Driving Authority Real-Time Allocation Domain. IEEE Trans. Intell. Transp. Syst. 23(7): 8528-8543 (2022) - [j18]Can Xu, Wanzhong Zhao, Jinqiang Liu, Chunyan Wang, Chen Lv:
An Integrated Decision-Making Framework for Highway Autonomous Driving Using Combined Learning and Rule-Based Algorithm. IEEE Trans. Veh. Technol. 71(4): 3621-3632 (2022) - [c60]Chao-Hong Tan, Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang:
TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge. ACL (Findings) 2022: 1597-1609 - [c59]Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang:
Multimodal Dialogue Response Generation. ACL (1) 2022: 2854-2866 - [c58]Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang:
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. ACL (1) 2022: 4242-4255 - [c57]Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan:
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. ACL (1) 2022: 4865-4877 - [c56]Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang:
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. EMNLP 2022: 12052-12066 - [c55]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong:
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. AACL/IJCNLP (1) 2022: 489-500 - [c54]Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang:
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. INTERSPEECH 2022: 2723-2727 - [c53]Yuyan Wang, Mohit Sharma, Can Xu, Sriraj Badam, Qian Sun, Lee Richardson, Lisa Chung, Ed H. Chi, Minmin Chen:
Surrogate for Long-Term User Experience in Recommender Systems. KDD 2022: 4100-4109 - [c52]Qingfeng Sun, Can Xu, Huang Hu, Yujing Wang, Jian Miao, Xiubo Geng, Yining Chen, Fei Xu, Daxin Jiang:
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting. NAACL-HLT 2022: 3304-3318 - [c51]Minmin Chen, Can Xu, Vince Gatto, Devanshu Jain, Aviral Kumar, Ed H. Chi:
Off-Policy Actor-critic for Recommender Systems. RecSys 2022: 338-349 - [c50]Jia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang:
Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training. WSDM 2022: 562-570 - [i47]Bo Chang, Can Xu, Matthieu Lê, Jingchen Feng, Ya Le, Sriraj Badam, Ed H. Chi, Minmin Chen:
Recency Dropout for Recurrent Recommender Systems. CoRR abs/2201.11016 (2022) - [i46]Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang:
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. CoRR abs/2201.12093 (2022) - [i45]Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang:
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. CoRR abs/2202.12499 (2022) - [i44]Chao-Hong Tan, Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang:
TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge. CoRR abs/2203.08517 (2022) - [i43]Qingfeng Sun, Can Xu, Huang Hu, Yujing Wang, Jian Miao, Xiubo Geng, Yining Chen, Fei Xu, Daxin Jiang:
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting. CoRR abs/2204.05610 (2022) - [i42]Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Kai Zhang, Daxin Jiang:
UnifieR: A Unified Retriever for Large-Scale Retrieval. CoRR abs/2205.11194 (2022) - [i41]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang:
Towards Robust Ranker for Text Retrieval. CoRR abs/2206.08063 (2022) - [i40]Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang:
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP. CoRR abs/2206.10265 (2022) - [i39]Yin Zhang, Can Xu, XianJun Wu, Yan Zhang, Ligang Dong, Weigang Wang:
LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware Recommendation. CoRR abs/2208.03454 (2022) - [i38]Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang:
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. CoRR abs/2208.13661 (2022) - [i37]Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang:
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. CoRR abs/2208.14754 (2022) - [i36]Konstantina Christakopoulou, Can Xu, Sai Zhang, Sriraj Badam, Trevor Potter, Daniel Li, Hao Wan, Xinyang Yi, Ya Le, Chris Berg, Eric Bencomo Dixon, Ed H. Chi, Minmin Chen:
Reward Shaping for User Satisfaction in a REINFORCE Recommender. CoRR abs/2209.15166 (2022) - [i35]Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin:
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. CoRR abs/2211.05719 (2022) - [i34]Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen:
Latent User Intent Modeling for Sequential Recommenders. CoRR abs/2211.09832 (2022) - [i33]Chang Liu, Chongyang Tao, Xiubo Geng, Tao Shen, Dongyan Zhao, Can Xu, Binxing Jiao, Daxin Jiang:
Adam: Dense Retrieval Distillation with Adaptive Dark Examples. CoRR abs/2212.10192 (2022) - [i32]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Guodong Long, Can Xu, Daxin Jiang:
Fine-Grained Distillation for Long Document Retrieval. CoRR abs/2212.10423 (2022) - 2021
- [j17]Wang Lu, Yasheng Zhang, Canbin Yin, Caiyong Lin, Can Xu, Xin Zhang:
A Deformation Robust ISAR Image Satellite Target Recognition Method Based on PT-CCNN. IEEE Access 9: 23432-23453 (2021) - [j16]Xia Wang, Can Xu, Yurong Huo, Ying Wan, Yang Liu, Jingyu Fu:
Influence of Indirect Solar Irradiance on Satellite Observation. IEEE Access 9: 163893-163905 (2021) - [j15]Can Xu, Peter W. T. Yuen, Wenxi Lang, Rui Xin, Kaichen Mao, Haiyan Jiang:
Generative detect for occlusion object based on occlusion generation and feature completing. J. Vis. Commun. Image Represent. 78: 103189 (2021) - [j14]Qingyun Chen, Wanzhong Zhao, Can Xu, Chunyan Wang, Lin Li, Shijuan Dai:
An Improved IOHMM-Based Stochastic Driver Lane-Changing Model. IEEE Trans. Hum. Mach. Syst. 51(3): 211-220 (2021) - [j13]Yisong Wang, Chunyan Wang, Wanzhong Zhao, Can Xu:
Decision-Making and Planning Method for Autonomous Vehicles Based on Motivation and Risk Assessment. IEEE Trans. Veh. Technol. 70(1): 107-120 (2021) - [j12]Lin Li, Wanzhong Zhao, Can Xu, Chunyan Wang, Qingyun Chen, Shijuan Dai:
Lane-Change Intention Inference Based on RNN for Autonomous Driving on Highways. IEEE Trans. Veh. Technol. 70(6): 5499-5510 (2021) - [c49]Ze Yang, Wei Wu, Huang Hu, Can Xu, Wei Wang, Zhoujun Li:
Open Domain Dialogue Generation with Latent Images. AAAI 2021: 14239-14247 - [c48]Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan:
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. ACL (demo) 2021: 232-239 - [c47]Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang:
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding. ACL/IJCNLP (1) 2021: 3682-3692 - [c46]Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang:
Maria: A Visual Experience Powered Conversational Agent. ACL/IJCNLP (1) 2021: 5596-5611 - [c45]Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar:
Learning Matching Representations for Individualized Organ Transplantation Allocation. AISTATS 2021: 2134-2142 - [c44]Nihong Liu, Can Xu, Bijuan Chen, Zheng Xiong, Huiling Li, Guilian Li:
Research and Experiment on Key Technology of Water-Fertilizer Integration Intelligent Equipment. CACRE 2021: 493-497 - [c43]Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang:
Learning to Ground Visual Objects for Visual Dialog. EMNLP (Findings) 2021: 1081-1091 - [c42]Zujie Liang, Huang Hu, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang:
Learning Neural Templates for Recommender Dialogue System. EMNLP (1) 2021: 7821-7833 - [c41]Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang:
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation. NeurIPS 2021: 16938-16950 - [c40]Minmin Chen, Yuyan Wang, Can Xu, Ya Le, Mohit Sharma, Lee Richardson, Su-Lin Wu, Ed H. Chi:
Values of User Exploration in Recommender Systems. RecSys 2021: 85-95 - [c39]Minmin Chen, Bo Chang, Can Xu, Ed H. Chi:
User Response Models to Improve a REINFORCE Recommender System. WSDM 2021: 121-129 - [i31]Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar:
Learning Matching Representations for Individualized Organ Transplantation Allocation. CoRR abs/2101.11769 (2021) - [i30]Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan:
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. CoRR abs/2104.08006 (2021) - [i29]Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang:
Maria: A Visual Experience Powered Conversational Agent. CoRR abs/2105.13073 (2021) - [i28]Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang:
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding. CoRR abs/2106.01541 (2021) - [i27]Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang:
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation. CoRR abs/2107.13077 (2021) - [i26]Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang:
Learning to Ground Visual Objects for Visual Dialog. CoRR abs/2109.06013 (2021) - [i25]Zujie Liang, Huang Hu, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang:
Learning Neural Templates for Recommender Dialogue System. CoRR abs/2109.12302 (2021) - [i24]Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan:
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. CoRR abs/2109.13087 (2021) - [i23]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang:
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph. CoRR abs/2110.07477 (2021) - [i22]Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang:
Multimodal Dialogue Response Generation. CoRR abs/2110.08515 (2021) - [i21]Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang:
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. CoRR abs/2111.10154 (2021) - 2020
- [j11]Can Xu, Haiyan Jiang, Peter W. T. Yuen, Khan Zaki Ahmad, Yao Chen:
MHW-PD: A robust rice panicles counting algorithm based on deep learning and multi-scale hybrid window. Comput. Electron. Agric. 173: 105375 (2020) - [j10]Can Xu, Wanzhong Zhao, Chunyan Wang:
An Integrated Threat Assessment Algorithm for Decision-Making of Autonomous Driving Vehicles. IEEE Trans. Intell. Transp. Syst. 21(6): 2510-2521 (2020) - [j9]Can Xu, Wanzhong Zhao, Lin Li, Qingyun Chen, Dengming Kuang, Jianhao Zhou:
A Nash Q-Learning Based Motion Decision Algorithm With Considering Interaction to Traffic Participants. IEEE Trans. Veh. Technol. 69(11): 12621-12634 (2020) - [c38]Nihong Liu, Zheng Xiong, Can Xu, Yufa Wu, Huiling Li, Xianping Jiang, Junfeng Cheng:
Design and testing of automated tube-based hydroponic system. CACRE 2020: 448-452 - [c37]Ze Yang, Wei Wu, Can Xu, Xinnian Liang, Jiaqi Bai, Liran Wang, Wei Wang, Zhoujun Li:
StyleDGPT: Stylized Response Generation with Pre-trained Language Models. EMNLP (Findings) 2020: 1548-1559 - [c36]Xueliang Zhao, Wei Wu, Can Xu, Chongyang Tao, Dongyan Zhao, Rui Yan:
Knowledge-Grounded Dialogue Generation with Pre-trained Language Models. EMNLP (1) 2020: 3377-3390 - [c35]Yufan Zhao, Can Xu, Wei Wu:
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks. EMNLP (1) 2020: 3472-3483 - [c34]Xueliang Zhao, Wei Wu, Chongyang Tao, Can Xu, Dongyan Zhao, Rui Yan:
Low-Resource Knowledge-Grounded Dialogue Generation. ICLR 2020 - [c33]Ruyun Li, Tianyu Liang, Dandan Song, Yi Liu, Yangcheng Wu, Can Xu, Peng Ouyang, Xianwei Zhang, Xianhong Chen, Weiqiang Zhang, Shouyi Yin, Liang He:
THUEE System for NIST SRE19 CTS Challenge. INTERSPEECH 2020: 2232-2236 - [c32]Can Xu, Zhiyong Feng, Peng Qi, Yan Sun:
An Automatic Analysis Tool Based on Computational Thinking for BlockPy Programs. IWCMC 2020: 2045-2050 - [c31]Linxiao Li, Can Xu, Wei Wu, Yufan Zhao, Xueliang Zhao, Chongyang Tao:
Zero-Resource Knowledge-Grounded Dialogue Generation. NeurIPS 2020 - [c30]Tianyu Liang, Yi Liu, Can Xu, Xianwei Zhang, Liang He:
Combined Vector Based on Factorized Time-delay Neural Network for Text-Independent Speaker Recognition. Odyssey 2020: 428-432 - [i20]Xueliang Zhao, Wei Wu, Chongyang Tao, Can Xu, Dongyan Zhao, Rui Yan:
Low-Resource Knowledge-Grounded Dialogue Generation. CoRR abs/2002.10348 (2020) - [i19]Yufan Zhao, Can Xu, Wei Wu:
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks. CoRR abs/2004.01972 (2020) - [i18]Ze Yang, Wei Wu, Huang Hu, Can Xu, Zhoujun Li:
Open Domain Dialogue Generation with Latent Images. CoRR abs/2004.01981 (2020) - [i17]Linxiao Li, Can Xu, Wei Wu, Yufan Zhao, Xueliang Zhao, Chongyang Tao:
Zero-Resource Knowledge-Grounded Dialogue Generation. CoRR abs/2008.12918 (2020) - [i16]Ze Yang, Wei Wu, Can Xu, Xinnian Liang, Jiaqi Bai, Liran Wang, Wei Wang, Zhoujun Li:
StyleDGPT: Stylized Response Generation with Pre-trained Language Models. CoRR abs/2010.02569 (2020) - [i15]Xueliang Zhao, Wei Wu, Can Xu, Chongyang Tao, Dongyan Zhao, Rui Yan:
Knowledge-Grounded Dialogue Generation with Pre-trained Language Models. CoRR abs/2010.08824 (2020) - [i14]Yufan Zhao, Wei Wu, Can Xu:
Are Pre-trained Language Models Knowledgeable to Ground Open Domain Dialogues? CoRR abs/2011.09708 (2020)
2010 – 2019
- 2019
- [j8]Yu Wu, Wei Wu, Chen Xing, Can Xu, Zhoujun Li, Ming Zhou:
A Sequential Matching Framework for Multi-Turn Response Selection in Retrieval-Based Chatbots. Comput. Linguistics 45(1): 163-197 (2019) - [j7]Liang He, Xianhong Chen, Can Xu, Yi Liu, Jia Liu, Michael T. Johnson:
Latent class model with application to speaker diarization. EURASIP J. Audio Speech Music. Process. 2019: 12 (2019) - [j6]Jingying Chen, Yongqiang Lv, Ruyi Xu, Can Xu:
Automatic social signal analysis: Facial expression recognition using difference convolution neural network. J. Parallel Distributed Comput. 131: 97-102 (2019) - [j5]Wang Lu, Yasheng Zhang, Can Xu, Caiyong Lin, Yurong Huo:
A Deep Learning-Based Satellite Target Recognition Method Using Radar Data. Sensors 19(9): 2008 (2019) - [j4]Xianhong Chen, Liang He, Can Xu, Jia Liu:
Distance-Dependent Metric Learning. IEEE Signal Process. Lett. 26(2): 357-361 (2019) - [c29]Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan:
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues. ACL (1) 2019: 1-11 - [c28]Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, Ying Wang:
Neural Response Generation with Meta-words. ACL (1) 2019: 5416-5426 - [c27]Liang He, Xianhong Chen, Can Xu, Jia Liu:
Subtraction-Positive Similarity Learning. APSIPA 2019: 1328-1332 - [c26]Can Xu, Xianhong Chen, Liang He, Jia Liu:
Geometric Discriminant Analysis for I-vector Based Speaker Verification. APSIPA 2019: 1636-1640 - [c25]Cao Shi, Ye Tao, Can Xu, Xiaodong Wang, Yanzhe Wang, Zihao Wang:
Sentiment Analysis of Home Appliance Comment Based on Generative Probabilistic Model. DSC 2019: 318-321 - [c24]Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li:
Low-Resource Response Generation with Template Prior. EMNLP/IJCNLP (1) 2019: 1886-1897 - [c23]Ze Yang, Can Xu, Wei Wu, Zhoujun Li:
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation. EMNLP/IJCNLP (1) 2019: 5076-5088 - [c22]Liang He, Xianhong Chen, Can Xu, Jia Liu:
Multi-objective Optimization Training of PLDA for Speaker Verification. ICASSP 2019: 6026-6030 - [c21]Mengyuan Ba, Yingying Hu, Can Xu, Yi Zhong:
A Course Scheduling Algorithm in Secondary Vocational School Based on Genetic Algorithm. ICSAI 2019: 1543-1547 - [c20]Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, Rui Yan:
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots. IJCAI 2019: 5443-5449 - [c19]Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan:
Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. WSDM 2019: 267-275 - [c18]Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi:
Towards Neural Mixture Recommender for Long Range Dependent User Sequences. WWW 2019: 1782-1793 - [i13]Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi:
Towards Neural Mixture Recommender for Long Range Dependent User Sequences. CoRR abs/1902.08588 (2019) - [i12]Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, Rui Yan:
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots. CoRR abs/1906.04362 (2019) - [i11]Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, Ying Wang:
Neural Response Generation with Meta-Words. CoRR abs/1906.06050 (2019) - [i10]Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li:
Low-Resource Response Generation with Template Prior. CoRR abs/1909.11968 (2019) - [i9]Ze Yang, Can Xu, Wei Wu, Zhoujun Li:
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation. CoRR abs/1909.11974 (2019) - [i8]Yi Liu, Tianyu Liang, Can Xu, Xianwei Zhang, Xianhong Chen, Wei-Qiang Zhang, Liang He, Dandan Song, Ruyun Li, Yangcheng Wu, Peng Ouyang, Shouyi Yin:
THUEE system description for NIST 2019 SRE CTS Challenge. CoRR abs/1912.11585 (2019) - 2018
- [j3]Liang He, Xianhong Chen, Can Xu, Jia Liu, Michael T. Johnson:
Local Pairwise Linear Discriminant Analysis for Speaker Verification. IEEE Signal Process. Lett. 25(10): 1575-1579 (2018) - [c17]Yu Wu, Wei Wu, Can Xu, Zhoujun Li:
Knowledge Enhanced Hybrid Neural Network for Text Matching. AAAI 2018: 5586-5593 - [c16]Yu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li:
Neural Response Generation With Dynamic Vocabularies. AAAI 2018: 5594-5601 - [c15]Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu, Zhan Chen:
Playing 20 Question Game with Policy-Based Reinforcement Learning. EMNLP 2018: 3233-3242 - [c14]Yangjun Xie, Zhi Li, Can Xu:
Feature Extraction of Space Targets via Variational Mode Decomposition. ICIA 2018: 1530-1534 - [c13]Tianyu Liang, Xianhong Chen, Can Xu, Liang He:
Parallel Double Audio Fingerprinting. ISCSLP 2018: 344-348 - [c12]Liang He, Xianhong Chen, Can Xu, Jia Liu:
Latent Class Model for Single Channel Speaker Diarization. Odyssey 2018: 128-133 - [c11]Xianhong Chen, Liang He, Can Xu, Yi Liu, Tianyu Liang, Jia Liu:
VB-HMM Speaker Diarization with Enhanced and Refined Segment Representation. Odyssey 2018: 134-139 - [c10]Can Xu, Ruyi Xu, Jingying Chen, Leyuan Liu:
Semi-supervised Learning of Deep Difference Features for Facial Expression Recognition. PRCV (3) 2018: 245-254 - [c9]Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, Ed H. Chi:
Latent Cross: Making Use of Context in Recurrent Recommender Systems. WSDM 2018: 46-54 - [i7]Can Xu, Wei Wu, Yu Wu:
Towards Explainable and Controllable Open Domain Dialogue Generation with Dialogue Acts. CoRR abs/1807.07255 (2018) - [i6]Chongyang Tao, Wei Wu, Can Xu, Yansong Feng, Dongyan Zhao, Rui Yan:
Improving Matching Models with Contextualized Word Representations for Multi-turn Response Selection in Retrieval-based Chatbots. CoRR abs/1808.07244 (2018) - [i5]Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu, Zhan Chen:
Playing 20 Question Game with Policy-Based Reinforcement Learning. CoRR abs/1808.07645 (2018) - [i4]Liang He, Xianhong Chen, Can Xu, Jia Liu:
Multiobjective Optimization Training of PLDA for Speaker Verification. CoRR abs/1808.08344 (2018) - 2017
- [c8]Can Xu, Wenrui Dai, Hongkai Xiong:
Extended conjugate polar fourier transforminconvolution network. ICIP 2017: 2453-2457 - [c7]Dejian Yang, Yu Wu, Zhoujun Li, Wei Wu, Can Xu:
Beihang at the NTCIR-13 STC-2 Task. NTCIR 2017 - [c6]Liang He, Xianhong Chen, Can Xu, Tianyu Liang, Jia Liu:
Ivec-PLDA-AHC priors for VB-HMM speaker diarization system. SiPS 2017: 1-6 - [i3]Yu Wu, Wei Wu, Chen Xing, Can Xu, Zhoujun Li, Ming Zhou:
A Sequential Matching Framework for Multi-turn Response Selection in Retrieval-based Chatbots. CoRR abs/1710.11344 (2017) - [i2]Yu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li, Ming Zhou:
Neural Response Generation with Dynamic Vocabularies. CoRR abs/1711.11191 (2017) - 2016
- [j2]Jie Liu, Yifeng Hu, Can Xu, Chao Jiang, Xu Han:
Probability assessments of identified parameters for stochastic structures using point estimation method. Reliab. Eng. Syst. Saf. 156: 51-58 (2016) - [c5]Can Xu, Hongkai Xiong:
Revertible deep convolutional networks with iterated directional filter bank. ICASSP 2016: 1586-1590 - [c4]Yuehan Xiong, Can Xu, Hongkai Xiong:
Kernelized learning in deep scattering convolution networks. ICME 2016: 1-6 - [c3]Mohammad J. Saberian, José Costa Pereira, Nuno Vasconcelos, Can Xu:
Large Margin Discriminant Dimensionality Reduction in Prediction Space. NIPS 2016: 1480-1488 - 2014
- [c2]Can Xu, Nuno Vasconcelos:
Learning Receptive Fields for Pooling from Tensors of Feature Response. CVPR 2014: 835-842 - [i1]Can Xu, Suleyman Cetintas, Kuang-Chih Lee, Li-Jia Li:
Visual Sentiment Prediction with Deep Convolutional Neural Networks. CoRR abs/1411.5731 (2014) - 2013
- [c1]Xiaoyi Lan, Bing Su, Can Xu:
A Study on Online Decision Model for Information Technology Adoption. WHICEB 2013: 64
2000 – 2009
- 2005
- [j1]Qingyu Kong, Li Zhao, Wenning Wang, Chen Wang, Can Xu, Wingham Zhang, Lei Liu, Kangnian Fan, Yufen Li, Jun Zhuang:
Magic number silicon dioxide-based clusters: Laser ablation-mass spectrometric and density functional theory studies. J. Comput. Chem. 26(6): 584-598 (2005)
Coauthor Index
[c86] [c84] [c83] [c74] [c73] [c71] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c61] [i57] [i56] [i54] [i53] [i52] [i51] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c52] [c50] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i38] [i37] [i33] [i32] [c48] [c47] [c46] [c43] [c42] [c41] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21]
[c86] [c84] [c83] [c77] [c76] [c74] [c73] [i66] [i64] [c71] [c70] [c68] [c67] [c66] [c65] [c64] [c63] [c61] [i57] [i56] [i54] [i53] [i52] [i51] [i50] [i49] [c60] [c58] [c56] [c50] [i46] [i45] [i44] [i42] [i41] [i40] [i38] [i37] [i35] [i33] [i32] [c47] [c46] [c41] [i29] [i28] [i27] [c36] [c34] [c31] [i20] [i17] [i15] [c29] [c28] [c20] [c19] [i12] [i11] [c15] [i6] [i5]
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