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Controllable Multi-Objective Re-ranking with Policy Hypernetworks Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, ChangShuo Zhang, Xiao Zhang, Lin Quan, Cheng Zhu, Jun Xu KDD 2023 Applied Data Science (ADS) track
Conditional Counterfactual Causal Effect for Individual Attribution Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023)
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai and Ji-Rong Wen Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)
Law Article-Enhanced Legal Case Matching: a Causal Learning Approach Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)
Enhancing Recommendation with Search Data in a Causal Learning Manner Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen ACM Transactions on Information Systems (TOIS)
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong International World Wide Web Conference (WWW 2023)
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (WSDM 2023)
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong and Ji-Rong Wen The 29th International Conference on Computational Linguistics (COLING ‘22)
Semantic Sentence Matching via Interacting Syntax Graphs Chen Xu, Jun Xu, Zhenhua Dong and Ji-Rong Wen The 29th International Conference on Computational Linguistics (COLING ‘22)
Dually Enhanced Propensity Score Estimation in Sequential Recommendation Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-RongWen Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM ’22)
A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, and Ji-Rong Wen Proceedings of the 2022 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR ’22)
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, and Ji-RongWen Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22)
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’22)
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen Proceedings of the ACM Web Conference 2022 (WWW ’22)
Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains Weijie Yu , Chen Xu, Jun Xu , Liang Pang, and Ji-Rong Wen IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING (TASLP), VOL. 30
Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation Kerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen Proceedings of the 14th ACM International Conference on Web Search and Data Mining, pages 364–372
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21), July 11–15, 2021, Virtual Event, Canada.
RLPS: A Reinforcement Learning–Based Framework for Personalized Search Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen ACM Transactions on Information Systems (TOIS) 39 (3), 1-29
Regret Bounds for Online Kernel Selection in Continuous Kernel Space Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen Proceedings of the AAAI Conference on Artificial Intelligence 35 (12)
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics, ACL 2021
RLPer: A Reinforcement Learning Model for Personalized Search Yao, Jing; Dou, Zhicheng; Xu, Jun; Wen, Ji-Rong 29th International World Wide Web Conference, WWW 2020, Taipei, Taiwan, 2020-4-20 - 2020-4-24
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields Jingxuan Yang; Kerui Xu; Jun Xu; Si Li; Sheng GAO; Jun Guo; Ji-Rong Wen; Nianwen Xue Findings of ACL: EMNLP 2020, Online, 2020-11-16
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains Yu, Weijie; Xu, Chen; Xu, Jun; Pang, Liang; Gao, Xiaopeng; Wang, Xiaozhao; Wen, Ji-Rong Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Online, 2020-11-16
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval Pang, Liang; Xu, Jun; Ai, Qingyao; Lan, Yanyan; Cheng, Xueqi; Wen, Jirong Proceedings of the 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020, Virtual, Online, China, 2020-7-25-2020-7-30
Deep Learning for Matching in Search and Recommendation Xu, Jun; He, Xiangnan; Li, Hang Foundations and Trends in Information Retrieval, 2020, 14(2-3): 102-288
Reinforcement Learning to Rank with Pairwise Policy Gradient Xu, Jun; Wei, Zeng; Xia, Long; Lan, Yanyan; Yin, Dawei; Cheng, Xueqi; Wen, Ji-Rong Proceedings of the 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020, Virtual, Online, China
Differentiated Distribution Recovery for Neural Text Generation Li, Jianing ; Lan, Yanyan ; Guo, Jiafeng; Xu, Jun; Cheng, Xueqi 33rd AAAI Conference on Artificial Intelligence, 2019.1.27-2019.2.1
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering Pang, Liang ; Lan, Yanyan ; Guo, Jiafeng; Xu, Jun; Su, Lixin; Cheng, Xueqi 33rd AAAI Conference on Artificial Intelligence, 2019.1.27-2019.2.1
PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data Shuqi Lu ; Zhicheng Dou; Jun Xu; Jian-Yun Nie; Ji-Rong Wen The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019.7.21-2019.7.25
Teaching Machines to Extract Main Content for Machine Reading Comprehension Li, Zhaohui ; Feng, Yue; Xu, Jun; Guo, Jiafeng; Lan, Yanyan; Cheng, Xueqi 33rd AAAI Conference on Artificial Intelligence, 2019.1.27-2019.2.1
Name Entity Recognition with Policy-Value Networks Yadi Lao ; Jun Xu ; Sheng Gao; Jun Guo; Ji-Rong Wen 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), 2019.7.21-2019.7.25
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng (2019) IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 31: No. 6, pp 1181-1193.
Neighborhood Voting: A Novel Search Scheme for Hashing Yan Xiao; Jiafeng Guo; Yanyan Lan; Jun Xu; Xueqi Cheng The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018
Question Headline Generation for News Articles Ruqing Zhang ; Jiafeng Guo; Yixing Fan; Yanyan Lan; Jun Xu; Huanhuan Cao; Xueqi Cheng The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018)
Multivariate Time Series Imputation with Generative Adversarial Networks Luo, Yonghong ; Cai, Xiangrui; ZHANG, Ying ; Xu, Jun; Yuan, Xiaojie Advances in Neural Information Processing Systems 31 (NIPS 2018), 2018.12.2-2018.12.8
Spherical Paragraph Model Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng Advances in Information Retrieval, ECIR. . ECIR 2018, LNCS 10772, pp. 289–302, 2018
Aggregating Neural Word Embeddings for Document Representation Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng Advances in Information Retrieval, ECIR. . ECIR 2018, LNCS 10772, pp. 303–315, 2018
Modeling the correlations of relations for knowledge graph embedding Jizhao Zhu, Yantao Jia, Jun Xu, Qiao Jianzhong, and Xueqi Cheng Journal of Computer Science and Technology, Volume 33, Issue 2, pp. 323–334, Mar. 2018.
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, and Xueqi Cheng Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI '18), Stockholm, Sweden, pp. 4567-4573, 2018.
Multi Page Search with Reinforcement Learning to Rank Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo and Xueqi Cheng Proceedings of the 4th ACM SIGIR Informational Conference on the Theory of Information Retrieval (ICTIR '18). (accepted, pdf). .
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo and Xueqi Cheng Proceedings of the 4th ACM SIGIR Informational Conference on the Theory of Information Retrieval (ICTIR '18). (accepted, pdf). .
Tailored Sequence to Sequence Models for Different Conversation Scenarios Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, and Xueqi Cheng Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL '18), Melbourne, Australia, pp. 1479-1488, 2018.
Learning to Control the Specificity in Neural Response Generation Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, and Xueqi Cheng Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia (ACL '18), Melbourne, Australia, pp. 1108-1117, 2018.
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, and Xueqi Cheng Proceedings of the 41st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '18), Ann Arbor, MI, USA, pp. 375-384, 2018.
Variance Reduction of Policy Gradient Bandit Problem via Antithetic Variates Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng Proceedings of the 41st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '18), Ann Arbor, MI, USA, pp. 885-888, 2018.
From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, and Xueqi Cheng In Proceedings of the 41st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2018), Ann Arbor, MI, USA, pp. 125-134, 2018.
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