Jun Xu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 136

Top Venues

Publications

Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models. CoRR (2024)
Chenglei Shen, Xiao Zhang, Teng Shi, Changshuo Zhang, Guofu Xie, Jun Xu
A Survey of Controllable Learning: Methods and Applications in Information Retrieval. CoRR (2024)
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 (2024)
Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
A Taxation Perspective for Fair Re-ranking. SIGIR (2024)
Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
A Taxation Perspective for Fair Re-ranking. CoRR (2024)
Yuan Wang, Zhiyu Li, Changshuo Zhang, Sirui Chen, Xiao Zhang, Jun Xu, Quan Lin
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce. CoRR (2024)
Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. CoRR (2024)
Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. KDD (2024)
Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu
Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy. SIGIR (2024)
Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. SIGIR (2024)
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 (2024)
Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu
ReCODE: Modeling Repeat Consumption with Neural ODE. CoRR (2024)
Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models. CoRR (2024)
Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. WWW (2024)
Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. CoRR (2024)
Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu
Neural Retrievers are Biased Towards LLM-Generated Content. KDD (2024)
Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
Tool Learning with Large Language Models: A Survey. CoRR (2024)
Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen
Syntactic-Informed Graph Networks for Sentence Matching. ACM Trans. Inf. Syst. 42 (2) (2024)
Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. ACL (Findings) (2024)
Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu, Ji-Rong Wen
QAGCF: Graph Collaborative Filtering for Q&A Recommendation. CoRR (2024)
Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. KDD (2024)
Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong
BankFair: Balancing Accuracy and Fairness under Varying User Traffic in Recommender System. CoRR (2024)
Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi
FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval. WWW (2024)
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
Large Language Models Enhanced Collaborative Filtering. CoRR (2024)
Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. CoRR (2024)
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 (2024)
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) (2024)
Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu
To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process. CoRR (2024)
Zhongxiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu
Effective In-Context Example Selection through Data Compression. CoRR (2024)
Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu
ReCODE: Modeling Repeat Consumption with Neural ODE. SIGIR (2024)
Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-Rong Wen
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CoRR (2023)
Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen
Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction. CIKM (2023)
Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu
Uncovering ChatGPT's Capabilities in Recommender Systems. RecSys (2023)
Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Quan Lin, Cheng Zhu, Jun Xu
Controllable Multi-Objective Re-ranking with Policy Hypernetworks. CoRR (2023)
Zihua Si, Zhongxiang Sun, Jiale Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu
Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning. CoRR (2023)
Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. RecSys (2023)
Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. CoRR (2023)
Weicong Qin, Zelin Cao, Weijie Yu, Zihua Si, Sirui Chen, Jun Xu
Incorporating Judgment Prediction into Legal Case Retrieval via Law-aware Generative Retrieval. CoRR (2023)
Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. SIGIR (2023)
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)
Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. CIKM (2023)
Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Xiao Zhang, Quan Lin, Cheng Zhu, Jun Xu
Controllable Multi-Objective Re-ranking with Policy Hypernetworks. KDD (2023)
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen
Enhancing Recommendation with Search Data in a Causal Learning Manner. ACM Trans. Inf. Syst. 41 (4) (2023)
Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. WWW (2022)
Ziyang Wang, Wei Wei, Chenwei Xu, Jun Xu, Xian-Ling Mao
Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks. Neurocomputing 501 (2022)
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 (2022)
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition. CoRR (2022)
Ziyang Wang, Wei Wei, Chenwei Xu, Jun Xu, Xian-Ling Mao
Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks. CoRR (2022)
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)
Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CIKM (2022)
Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Ji-Rong Wen
Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Kerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen
Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. WSDM (2021)
Liang Pang, Qingyao Ai, Jun Xu
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. WSDM (2021)
Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15 (1) (2021)
Lin Bo, Liang Pang, Gang Wang, Jun Xu, XiuQiang He, Ji-Rong Wen
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm. CoRR (2021)
Liang Pang, Qingyao Ai, Jun Xu
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. SIGIR (2021)
Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen
Regret Bounds for Online Kernel Selection in Continuous Kernel Space. AAAI (2021)
Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen
RLPS: A Reinforcement Learning-Based Framework for Personalized Search. ACM Trans. Inf. Syst. 39 (3) (2021)
Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. SIGIR (2021)
Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. ACL/IJCNLP (1) (2021)
Xiaofei Zhu, Khoi Duy Do, Jiafeng Guo, Jun Xu, Stefan Dietze
Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering. Neural Process. Lett. 53 (1) (2021)
Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech. CoRR (2021)
Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan, Ji-Rong Wen
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient. CoRR (2020)
Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen
RLPer: A Reinforcement Learning Model for Personalized Search. WWW (2020)
Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. EMNLP (Findings) (2020)
Jun Xu, Xiangnan He, Hang Li
Deep Learning for Matching in Search and Recommendation. Found. Trends Inf. Retr. 14 (2-3) (2020)
Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. EMNLP (1) (2020)
Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. SIGIR (2020)
Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Ji-Rong Wen, Nianwen Xue
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields. CoRR (2020)
Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen
Reinforcement Learning to Rank with Pairwise Policy Gradient. SIGIR (2020)
Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. CoRR (2020)
Jun Xu, Xiangnan He, Hang Li
Deep Learning for Matching in Search and Recommendation. WSDM (2019)
Jingxuan Yang, Jun Xu, Jianzhuo Tong, Sheng Gao, Jun Guo, Jirong Wen
Pre-training of Context-aware Item Representation for Next Basket Recommendation. CoRR (2019)
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. AAAI (2019)
Junqi Zhang, Jiaxin Mao, Yiqun Liu, Ruizhe Zhang, Min Zhang, Shaoping Ma, Jun Xu, Qi Tian
Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning. CIKM (2019)
Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
Teaching Machines to Extract Main Content for Machine Reading Comprehension. AAAI (2019)
Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile. CoRR (2019)
Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
Differentiated Distribution Recovery for Neural Text Generation. AAAI (2019)
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering. CoRR (2019)
Yadi Lao, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen
Name Entity Recognition with Policy-Value Networks. SIGIR (2019)
Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. CoRR (2019)
Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation. IEEE Trans. Knowl. Data Eng. 31 (6) (2019)
Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. IJCAI (2018)
Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
Neighborhood Voting: A Novel Search Scheme for Hashing. CIKM (2018)
Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. SIGIR (2018)
Zhaohui Li, Jun Xu, Yanyan Lan, Jiafeng Guo, Yue Feng, Xueqi Cheng
Hierarchical Answer Selection Framework for Multi-passage Machine Reading Comprehension. CCIR (2018)
Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
Generative Paragraph Vector. CCIR (2018)
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng
Question Headline Generation for News Articles. CIKM (2018)
Yan Xiao, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations. CoRR (2018)
Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng
From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks. SIGIR (2018)
Jizhao Zhu, Yantao Jia, Jun Xu, Jianzhong Qiao, Xueqi Cheng
Modeling the Correlations of Relations for Knowledge Graph Embedding. J. Comput. Sci. Technol. 33 (2) (2018)
Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Jun Xu, Xueqi Cheng
RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching. AIRS (2018)
Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
Tailored Sequence to Sequence Models to Different Conversation Scenarios. ACL (1) (2018)
Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method. SIGIR (2018)
Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph. AAAI (2018)
Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
Aggregating Neural Word Embeddings for Document Representation. ECIR (2018)
Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
Spherical Paragraph Model. ECIR (2018)
Tonglei Guo, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng
A Comparison Between Term-Based and Embedding-Based Methods for Initial Retrieval. CCIR (2018)
Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
Multi Page Search with Reinforcement Learning to Rank. ICTIR (2018)
Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jun Xu