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Xu Chen 0017

陈旭

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Person information

unicode name: 陈旭
affiliation: Renmin University of China, China
affiliation (former): University College London, UK
not to be confused with: Chen Xu 0010

Other persons with the same name

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Xu Chen — disambiguation page
Xu Chen 0001 — University of Washington, Mechanical Engineering, Seattle, USA (and 2 more)
Xu Chen 0002 — University of Macau, Department of Mathematics, China
Xu Chen 0003 — Shenzhen Institute of Information Technology, School of Software Engineering, China
Xu Chen 0004 — Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China (and 3 more)
Xu Chen 0005 — Beijing Jiaotong University, State Key Lab of Rail Traffic Control and Safety, China
Xu Chen 0006 — Jiangsu University, School of Electrical and Information Engineering, Zhenjiang, China
Xu Chen 0007 — University of Shanghai for Science and Technology, College of Science, China
Xu Chen 0008 — Nanjing University of Information Science and Technology, School of Information and Control, China
Xu Chen 0009 — Huaqiao University, Fujian Research Center for Tunneling and Urban Underground Space Engineering, Xiamen, China

Xu Chen 0010 — North Minzu University, Internet Information Technology Center, Yinchuan, China (and 1 more)
Xu Chen 0011 — Rice University, Department of Electrical and Computer Engineering, Houston, TX, USA
Xu Chen 0012 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
Xu Chen 0013 — Northeastern University at Qinhuangdao, Department of Communication Engineering, Qinhuangdao, China
Xu Chen 0014 — Guangdong University of Technology, School of Automation, Web Identity Security Lab, Guangzhou, China
Xu Chen 0015 — University of Electronic Science and Technology of China, Chengdu, China
Xu Chen 0016 — Beijing Institute of Technology, Beijing, China
Xu Chen 0018 — Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, IL, USA
Xu Chen 0019 — University of Illinois, Department of Electrical and Computer Engineering, Chicago, IL, USA
Xu Chen 0020 — University of North Carolina at Chapel Hill, NC, USA (and 1 more)
Xu Chen 0021 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
Xu Chen 0022 — Microsoft Research Asia, Beijing, China (and 1 more)
Xu Chen 0023 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
Xu Chen 0024 — Youtu Lab, Tencents, China
Xu Chen 0025 — ETH Zurich, AIT Lab, Zürich, Switzerland (and 1 more)
Xu Chen 0026 — Alibaba Group (and 2 more)
Mia Xu Chen (aka: Xu Chen 0027) — Google, Mountain View, CA, USA (and 1 more)
Xu Chen 0028 — AT&T Labs - Research, Shannon Laboratory, NJ, USA (and 1 more)
Xu Chen 0029 — China Academy of Information and Telecommunications Technology, CAICT, Beijing, China (and 2 more)

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Journal Articles

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2024
[j18]
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Qinghua Zhao, Xu Chen, Hui Zhang, Xinlu Li:
Dynamic Hierarchical Attention Network for news recommendation. Expert Syst. Appl. 255: 124667 (2024)
[j17]
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Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Jirong Wen:
A survey on large language model based autonomous agents. Frontiers Comput. Sci. 18(6): 186345 (2024)
[j16]
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Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Graph Optimal Transport. IEEE Trans. Knowl. Data Eng. 36(6): 2461-2475 (2024)
[j15]
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Hao Yang, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen:
Distributional Fairness-aware Recommendation. ACM Trans. Inf. Syst. 42(5): 131:1-131:28 (2024)
[j14]
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Changxin Tian, Yuexiang Xie, Xu Chen, Yaliang Li, Xin Zhao:
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning. ACM Trans. Inf. Syst. 42(5): 135:1-135:29 (2024)
2023
[j13]
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Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Data Augmented Sequential Recommendation Based on Counterfactual Thinking. IEEE Trans. Knowl. Data Eng. 35(9): 9181-9194 (2023)
[j12]
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Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41(4): 114:1-114:25 (2023)
2022
[j11]
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Xu Chen, Jun Wang:
Inhomogeneous deep Q-network for time sensitive applications. Artif. Intell. 312: 103757 (2022)
[j10]
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Quanyu Dai, Zhenhua Dong, Xu Chen:
Debiased recommendation with neural stratification. AI Open 3: 213-217 (2022)
[j9]
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Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He:
IPGAN: Generating Informative Item Pairs by Adversarial Sampling. IEEE Trans. Neural Networks Learn. Syst. 33(2): 694-706 (2022)
2021
[j8]
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Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin:
Visually aware recommendation with aesthetic features. VLDB J. 30(4): 495-513 (2021)
2020
[j7]
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Yongfeng Zhang, Xu Chen:
Explainable Recommendation: A Survey and New Perspectives. Found. Trends Inf. Retr. 14(1): 1-101 (2020)
[j6]
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Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin:
Efficient Contour Computation of Group-Based Skyline. IEEE Trans. Knowl. Data Eng. 32(7): 1317-1332 (2020)
[j5]
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Xu Chen, Kun Xiong, Yongfeng Zhang, Long Xia, Dawei Yin, Jimmy Xiangji Huang:
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network. ACM Trans. Inf. Syst. 39(1): 8:1-8:22 (2020)
2019
[j4]
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Xu Chen, Judith Gelernter, Han Zhang, Jin Liu:
Multi-lingual geoparsing based on machine translation. Future Gener. Comput. Syst. 96: 667-677 (2019)
[j3]
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Xu Chen, Yongfeng Zhang, Hongteng Xu, Zheng Qin, Hongyuan Zha:
Adversarial Distillation for Efficient Recommendation with External Knowledge. ACM Trans. Inf. Syst. 37(1): 12:1-12:28 (2019)
2018
[j2]
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Qingyao Ai, Vahid Azizi, Xu Chen, Yongfeng Zhang:
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation. Algorithms 11(9): 137 (2018)
2016
[j1]
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Xiaoguang Niu, Yihao Zhang, Yalan Yao, Xu Chen, Josep Miquel Jornet, Jin Liu:
An energy-efficient source-anonymity protocol in surveillance systems. Pers. Ubiquitous Comput. 20(5): 771-783 (2016)

Conference and Workshop Papers

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2024
[c77]
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Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai:
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework. AAAI 2024: 21673-21680
[c76]
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Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen:
Active Explainable Recommendation with Limited Labeling Budgets. ICASSP 2024: 5375-5379
[c75]
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Heyang Gao, Zexu Sun, Hao Yang, Xu Chen:
Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement Learning. KDD 2024: 839-850
[c74]
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Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li:
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. KDD 2024: 2854-2865
[c73]
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Jingsen Zhang, Jiakai Tang, Xu Chen, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li:
Natural Language Explainable Recommendation with Robustness Enhancement. KDD 2024: 4203-4212
[c72]
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  - conf/recsys/DuWJZ024
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Zhaocheng Du, Chuhan Wu, Qinglin Jia, Jieming Zhu, Xu Chen:
A Tutorial on Feature Interpretation in Recommender Systems. RecSys 2024: 1281-1282
[c71]
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An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents for Information Retrieval. SIGIR 2024: 2989-2992
[c70]
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Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents in the Web. WWW (Companion Volume) 2024: 1242-1245
[c69]
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Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li:
Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. WWW (Companion Volume) 2024: 1290-1293
[c68]
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Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen:
Causally Debiased Time-aware Recommendation. WWW 2024: 3331-3342
[c67]
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Yihan Wu, Ruihua Song, Xu Chen, Hao Jiang, Zhao Cao, Jin Yu:
Understanding Human Preferences: Towards More Personalized Video to Text Generation. WWW 2024: 3952-3963
2023
[c66]
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  - conf/emnlp/Jin0KL0SCCSC023
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Chuhao Jin, Yutao Zhu, Lingzhen Kong, Shijie Li, Xiao Zhang, Ruihua Song, Xu Chen, Huan Chen, Yuchong Sun, Yu Chen, Jun Xu:
Joint Semantic and Strategy Matching for Persuasive Dialogue. EMNLP (Findings) 2023: 4187-4197
[c65]
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Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen:
Sequential Recommendation with User Causal Behavior Discovery. ICDE 2023: 28-40
[c64]
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Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang:
Causal Collaborative Filtering. ICTIR 2023: 235-245
[c63]
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Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai:
A Multi-Agent Framework for Recommendation with Heterogeneous Sources. IJCNN 2023: 1-8
[c62]
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Zeyu Zhang, Heyang Gao, Hao Yang, Xu Chen:
Hierarchical Invariant Learning for Domain Generalization Recommendation. KDD 2023: 3470-3479
[c61]
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Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths. NeurIPS 2023
[c60]
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Zexu Sun, Bowei He, Jinxin Liu, Xu Chen, Chen Ma, Shuai Zhang:
Offline Imitation Learning with Variational Counterfactual Reasoning. NeurIPS 2023
[c59]
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Hao Pu, Yuchong Sun, Ruihua Song, Xu Chen, Hao Jiang, Yi Liu, Zhao Cao:
Going Beyond Closed Sets: A Multimodal Perspective for Video Emotion Analysis. PRCV (6) 2023: 233-244
[c58]
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Jiakai Tang, Shiqi Shen, Zhipeng Wang, Zhi Gong, Jingsen Zhang, Xu Chen:
When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation. RecSys 2023: 200-210
[c57]
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Hao Yang, Zhining Liu, Zeyu Zhang, Chenyi Zhuang, Xu Chen:
Towards Robust Fairness-aware Recommendation. RecSys 2023: 211-222
[c56]
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Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen:
Distributionally Robust Sequential Recommnedation. SIGIR 2023: 279-288
[c55]
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Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang:
Robust Causal Inference for Recommender System to Overcome Noisy Confounders. SIGIR 2023: 2349-2353
[c54]
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Lanling Xu, Zhen Tian, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen:
Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. SIGIR 2023: 2837-2847
[c53]
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Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin:
Sequential Recommendation with User Evolving Preference Decomposition. SIGIR-AP 2023: 253-263
[c52]
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Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu:
Reinforcement Re-ranking with 2D Grid-based Recommendation Panels. SIGIR-AP 2023: 282-287
[c51]
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Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang:
Recommendation with Causality enhanced Natural Language Explanations. WWW 2023: 876-886
[c50]
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Zhenlei Wang, Xu Chen:
Robust Recommendation with Adversarial Gaussian Data Augmentation. WWW 2023: 897-905
2022
[c49]
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Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen:
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. AAAI 2022: 8797-8805
[c48]
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Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CIKM 2022: 2260-2269
[c47]
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Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen:
RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CIKM 2022: 4722-4726
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Ying Wen, Hui Chen, Yaodong Yang, Minne Li, Zheng Tian, Xu Chen, Jun Wang:
A Game-Theoretic Approach to Multi-agent Trust Region Optimization. DAI 2022: 74-87
[c45]
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Qian Cao, Xu Chen, Ruihua Song, Hao Jiang, Guang Yang, Zhao Cao:
Multi-Modal Experience Inspired AI Creation. ACM Multimedia 2022: 1445-1454
[c44]
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Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. SIGIR 2022: 657-668
[c43]
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Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen:
Unbiased Sequential Recommendation with Latent Confounders. WWW 2022: 2195-2204
2021
[c42]
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Yali Du, Bo Liu, Vincent Moens, Ziqi Liu, Zhicheng Ren, Jun Wang, Xu Chen, Haifeng Zhang:
Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. AAMAS 2021: 456-464
[c41]
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Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang:
Counterfactual Explainable Recommendation. CIKM 2021: 1784-1793
[c40]
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Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou:
Counterfactual Review-based Recommendation. CIKM 2021: 2231-2240
[c39]
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Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. CIKM 2021: 2342-2351
[c38]
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Jingsen Zhang, Xu Chen, Wayne Xin Zhao:
Causally Attentive Collaborative Filtering. CIKM 2021: 3622-3626
[c37]
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Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen:
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CIKM 2021: 4653-4664
[c36]
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Yali Du, Xue Yan, Xu Chen, Jun Wang, Haifeng Zhang:
Estimating α-Rank from A Few Entries with Low Rank Matrix Completion. ICML 2021: 2870-2879
[c35]
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Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Counterfactual Data-Augmented Sequential Recommendation. SIGIR 2021: 347-356
[c34]
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Yongfeng Zhang, Xu Chen, Yi Zhang, Xianjie Chen:
CSR 2021: The 1st International Workshop on Causality in Search and Recommendation. SIGIR 2021: 2677-2680
[c33]
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Yongfeng Zhang, Min Zhang, Hanxiong Chen, Xu Chen, Xianjie Chen, Chuang Gan, Tong Sun, Xin Luna Dong:
The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021). WSDM 2021: 1161-1162
[c32]
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Xu Chen, Yali Du, Long Xia, Jun Wang:
Reinforcement Recommendation with User Multi-aspect Preference. WWW 2021: 425-435
[c31]
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Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen:
A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps. WWW 2021: 3199-3209
2020
[c30]
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Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen:
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CIKM 2020: 65-74
[c29]
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Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang:
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CIKM 2020: 1645-1654
[c28]
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Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin:
Time Matters: Sequential Recommendation with Complex Temporal Information. SIGIR 2020: 1459-1468
[c27]
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Xu Chen, Changying Du, Xiuqiang He, Jun Wang:
JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. SIGIR 2020: 1681-1684
[c26]
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Yongfeng Zhang, Xu Chen, Yi Zhang, Min Zhang, Chirag Shah:
EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search. SIGIR 2020: 2472-2474
2019
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Xu Chen, Yongfeng Zhang, Zheng Qin:
Dynamic Explainable Recommendation Based on Neural Attentive Models. AAAI 2019: 53-60
[c24]
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Hui Zhang, Xu Chen, Shuai Ma:
Dynamic News Recommendation with Hierarchical Attention Network. ICDM 2019: 1456-1461
[c23]
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Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha:
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. SIGIR 2019: 765-774
2018
[c22]
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Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin:
Benefits from Superposed Hawkes Processes. AISTATS 2018: 623-631
[c21]
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Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, W. Bruce Croft:
Towards Conversational Search and Recommendation: System Ask, User Respond. CIKM 2018: 177-186
[c20]
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Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong:
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. EMNLP 2018: 227-237
[c19]
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Xu Li, Xu Chen, Zheng Qin:
Deep Collaborative Filtering Combined with High-Level Feature Generation on Latent Factor Model. ICONIP (1) 2018: 140-151
[c18]
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Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha:
Sequential Recommendation with User Memory Networks. WSDM 2018: 108-116
[c17]
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Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen:
IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization. WSDM 2018: 804-805
[c16]
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Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, Zheng Qin:
Aesthetic-based Clothing Recommendation. WWW 2018: 649-658
2017
[c15]
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Yixin Cao, Lifu Huang, Heng Ji, Xu Chen, Juanzi Li:
Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding. ACL (1) 2017: 1623-1633
[c14]
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Wenwen Ye, Yongfeng Zhang, Wayne Xin Zhao, Xu Chen, Zheng Qin:
A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images. AIRS 2017: 99-111
[c13]
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Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Wenwen Ye, Zheng Qin:
Probabilistic Local Matrix Factorization Based on User Reviews. AIRS 2017: 154-166
[c12]
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Wenhui Yu, Zheng Qin, Jinfei Liu, Li Xiong, Xu Chen, Huidi Zhang:
Fast Algorithms for Pareto Optimal Group-based Skyline. CIKM 2017: 417-426
[c11]
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Yongfeng Zhang, Qingyao Ai, Xu Chen, W. Bruce Croft:
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources. CIKM 2017: 1449-1458
[c10]
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Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi:
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. KDD 2017: 1693-1702
[c9]
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Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin:
Personalized Key Frame Recommendation. SIGIR 2017: 315-324
[c8]
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Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, W. Bruce Croft:
Learning a Hierarchical Embedding Model for Personalized Product Search. SIGIR 2017: 645-654
2016
[c7]
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Jin Liu, Yiqiuzi Tian, Liang Hong, Xu Chen, Zhou Xu:
Developer Recommendation with Awareness of Accuracy and Cost. SEKE 2016: 213-218
[c6]
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Xu Chen, Zheng Qin, Yongfeng Zhang, Tao Xu:
Learning to Rank Features for Recommendation over Multiple Categories. SIGIR 2016: 305-314
[c5]
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Xu Chen, Pengfei Wang, Zheng Qin, Yongfeng Zhang:
HLBPR: A Hybrid Local Bayesian Personal Ranking Method. WWW (Companion Volume) 2016: 21-22
2015
[c4]
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Lai-Xiang Shan, Zheng Qin, Kaiping Xu, Xu Chen, Zhipeng Li:
From LTL Formulae to Büchi Automata: A Direct Translation Using On-the-Fly De-Generalization. APSEC 2015: 64-71
[c3]
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Xiaoguang Niu, Yalan Yao, Chuanbo Wei, Yulu Liu, Jin Liu, Xu Chen:
A Novel Source-Location Anonymity Protocol in Surveillance Systems. IIKI 2015: 100-104
2014
[c2]
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Xu Chen, Jin Liu, Xinyan Zhu, Ming Li:
Acquiring Stored or Real Time Satellite Data via Natural Language Query. APWeb 2014: 212-223
2012
[c1]
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Xu Chen, Mingyuan Zhou, Lawrence Carin:
The contextual focused topic model. KDD 2012: 96-104

Informal and Other Publications

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2024
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Xueyang Feng, Zhiyuan Chen, Yujia Qin, Yankai Lin, Xu Chen, Zhiyuan Liu, Ji-Rong Wen:
Large Language Model-based Human-Agent Collaboration for Complex Task Solving. CoRR abs/2402.12914 (2024)
[i49]
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  - journals/corr/abs-2404-08675
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Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai:
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm. CoRR abs/2404.08675 (2024)
[i48]
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  - journals/corr/abs-2404-13501
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Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen:
A Survey on the Memory Mechanism of Large Language Model based Agents. CoRR abs/2404.13501 (2024)
[i47]
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  - journals/corr/abs-2405-15318
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Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou:
Are Long-LLMs A Necessity For Long-Context Tasks? CoRR abs/2405.15318 (2024)
[i46]
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  - journals/corr/abs-2406-19853
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Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen:
YuLan: An Open-source Large Language Model. CoRR abs/2406.19853 (2024)
[i45]
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  - journals/corr/abs-2407-10184
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Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li:
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. CoRR abs/2407.10184 (2024)
[i44]
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  - journals/corr/abs-2407-18743
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Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen:
Towards Effective and Efficient Continual Pre-training of Large Language Models. CoRR abs/2407.18743 (2024)
[i43]
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Qian Cao, Xu Chen, Ruihua Song, Xiting Wang, Xinting Huang, Yuchen Ren:
See or Guess: Counterfactually Regularized Image Captioning. CoRR abs/2408.16809 (2024)
[i42]
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Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen:
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants. CoRR abs/2409.20163 (2024)
2023
[i41]
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  - journals/corr/abs-2303-00168
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Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. CoRR abs/2303.00168 (2023)
[i40]
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  - journals/corr/abs-2303-06660
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Xu Chen, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenghua Dong:
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. CoRR abs/2303.06660 (2023)
[i39]
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Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CoRR abs/2303.08722 (2023)
[i38]
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  - journals/corr/abs-2306-02552
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Lei Wang, Jingsen Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Ji-Rong Wen:
RecAgent: A Novel Simulation Paradigm for Recommender Systems. CoRR abs/2306.02552 (2023)
[i37]
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Yuchong Sun, Bei Liu, Xu Chen, Ruihua Song, Jianlong Fu:
ViCo: Engaging Video Comment Generation with Human Preference Rewards. CoRR abs/2308.11171 (2023)
[i36]
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Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen:
A Survey on Large Language Model based Autonomous Agents. CoRR abs/2308.11432 (2023)
[i35]
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  - journals/corr/abs-2311-01964
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Kun Zhou, Yutao Zhu, Zhipeng Chen, Wentong Chen, Wayne Xin Zhao, Xu Chen, Yankai Lin, Ji-Rong Wen, Jiawei Han:
Don't Make Your LLM an Evaluation Benchmark Cheater. CoRR abs/2311.01964 (2023)
2022
[i34]
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  - journals/corr/abs-2201-04480
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Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen:
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. CoRR abs/2201.04480 (2022)
[i33]
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  - journals/corr/abs-2201-06056
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Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. CoRR abs/2201.06056 (2022)
[i32]
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  - journals/corr/abs-2202-06466
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Xu Chen, Yongfeng Zhang, Ji-Rong Wen:
Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation. CoRR abs/2202.06466 (2022)
[i31]
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Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang:
Generalizable Information Theoretic Causal Representation. CoRR abs/2202.08388 (2022)
[i30]
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  - journals/corr/abs-2203-16942
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Weiqi Shao, Xu Chen, Long Xia, Jiashu Zhao, Dawei Yin:
Sequential Recommendation with User Evolving Preference Decomposition. CoRR abs/2203.16942 (2022)
[i29]
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  - journals/corr/abs-2204-00216
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Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Sequential Recommendation with Causal Behavior Discovery. CoRR abs/2204.00216 (2022)
[i28]
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  - journals/corr/abs-2204-04954
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Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu:
Reinforcement Re-ranking with 2D Grid-based Recommendation Panels. CoRR abs/2204.04954 (2022)
[i27]
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  - journals/corr/abs-2206-07351
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Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen:
RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CoRR abs/2206.07351 (2022)
[i26]
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  - journals/corr/abs-2207-04182
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Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. CoRR abs/2207.04182 (2022)
[i25]
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  - journals/corr/abs-2208-07281
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Quanyu Dai, Zhenhua Dong, Xu Chen:
Debiased Recommendation with Neural Stratification. CoRR abs/2208.07281 (2022)
[i24]
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  - journals/corr/abs-2209-02427
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Qian Cao, Xu Chen, Ruihua Song, Hao Jiang, Guang Yang, Zhao Cao:
Multi-Modal Experience Inspired AI Creation. CoRR abs/2209.02427 (2022)
[i23]
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  - journals/corr/abs-2211-01155
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Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong:
Recommendation with User Active Disclosing Willingness. CoRR abs/2211.01155 (2022)
[i22]
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  - journals/corr/abs-2211-15148
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Lanling Xu, Zhen Tian, Gaowei Zhang, Lei Wang, Junjie Zhang, Bowen Zheng, Yifan Li, Yupeng Hou, Xingyu Pan, Yushuo Chen, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen:
Recent Advances in RecBole: Extensions with more Practical Considerations. CoRR abs/2211.15148 (2022)
2021
[i21]
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  - journals/corr/abs-2101-03392
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Hanxiong Chen, Xu Chen, Shaoyun Shi, Yongfeng Zhang:
Generate Natural Language Explanations for Recommendation. CoRR abs/2101.03392 (2021)
[i20]
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  - journals/corr/abs-2101-04817
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Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang:
Discrete Knowledge Graph Embedding based on Discrete Optimization. CoRR abs/2101.04817 (2021)
[i19]
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  - journals/corr/abs-2102-01868
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Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang:
Causal Collaborative Filtering. CoRR abs/2102.01868 (2021)
[i18]
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  - journals/corr/abs-2106-06828
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Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang:
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization. CoRR abs/2106.06828 (2021)
[i17]
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  - journals/corr/abs-2108-10539
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Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang:
Counterfactual Explainable Recommendation. CoRR abs/2108.10539 (2021)
[i16]
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  - journals/corr/abs-2109-02444
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Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. CoRR abs/2109.02444 (2021)
[i15]
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  - journals/corr/abs-2111-03344
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Zirui Zhu, Chen Gao, Xu Chen, Nian Li, Depeng Jin, Yong Li:
Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks. CoRR abs/2111.03344 (2021)
[i14]
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  - journals/corr/abs-2112-02787
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Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin:
Learning Reinforced Dynamic Representations for Sequential Recommendation. CoRR abs/2112.02787 (2021)
2020
[i13]
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  - journals/corr/abs-2009-13299
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Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen:
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CoRR abs/2009.13299 (2020)
[i12]
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  - journals/corr/abs-2010-15620
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Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang:
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CoRR abs/2010.15620 (2020)
[i11]
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  - journals/corr/abs-2011-01731
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Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen:
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CoRR abs/2011.01731 (2020)
[i10]
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  - journals/corr/abs-2012-14228
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Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang:
Causal World Models by Unsupervised Deconfounding of Physical Dynamics. CoRR abs/2012.14228 (2020)
2019
[i9]
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  - journals/corr/abs-1905-00700
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Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin:
Efficient Contour Computation of Group-based Skyline. CoRR abs/1905.00700 (2019)
[i8]
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  - journals/corr/abs-1905-02009
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Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin:
Visually-aware Recommendation with Aesthetic Features. CoRR abs/1905.02009 (2019)
2018
[i7]
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  - journals/corr/abs-1801-10288
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Xu Chen, Yongfeng Zhang, Hongteng Xu, Yixin Cao, Zheng Qin, Hongyuan Zha:
Visually Explainable Recommendation. CoRR abs/1801.10288 (2018)
[i6]
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  - journals/corr/abs-1803-06540
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Yongfeng Zhang, Qingyao Ai, Xu Chen, Pengfei Wang:
Learning over Knowledge-Base Embeddings for Recommendation. CoRR abs/1803.06540 (2018)
[i5]
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  - journals/corr/abs-1804-11192
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Yongfeng Zhang, Xu Chen:
Explainable Recommendation: A Survey and New Perspectives. CoRR abs/1804.11192 (2018)
[i4]
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  - journals/corr/abs-1805-03352
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Qingyao Ai, Vahid Azizi, Xu Chen, Yongfeng Zhang:
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation. CoRR abs/1805.03352 (2018)
[i3]
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  - journals/corr/abs-1809-05822
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Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, Zheng Qin:
Aesthetic-based Clothing Recommendation. CoRR abs/1809.05822 (2018)
[i2]
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  - journals/corr/abs-1811-10776
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Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong:
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. CoRR abs/1811.10776 (2018)
2015
[i1]
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  - journals/corr/ChenZG15
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Xu Chen, Han Zhang, Judith Gelernter:
Multi-lingual Geoparsing based on Machine Translation. CoRR abs/1511.01974 (2015)

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