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ORCIDJun Xu 0001
徐君
Person information
- unicode name: 徐君
- affiliation: Renmin University of China, School of Information, Beijing Key Laboratory of Big Data Management and Analysis Methods, China
- affiliation (former): Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- affiliation (2012 - 2014): Huawei Noah's Ark Lab, Hong Kong
- affiliation (2006 - 2012): Microsoft Research Asia
- affiliation (PhD 2006): Nankai University, Tianjin, China
Other persons with the same name
- Jun Xu — disambiguation page
- Jun Erik Xu (aka: Jun Xu 0002) — Hughes Network Systems, Germantown, MD, USA (and 1 more)
- Jun Xu 0003 — Google Inc., Mountain View, CA, USA (and 2 more)
- Jun Xu 0004 — Marvell Semiconductor (and 1 more)
- Jun Xu 0005
![[0000-0001-5315-8811]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5315-8811")
— Nanjing University of Information Science & Technology, China (and 1 more) - Jun Xu 0006 — Southern Cross University, Gold Coast, NSW, Australia
- Jun Xu 0007 — University of Texas Health Science Center, Houston, TX, USA (and 1 more)
- Jun Xu 0008 — Tsinghua University, Department of Automation, Beijing, China
- Jun Xu 0009 — New Jersey Institute of Technology, Newark, NJ, USA
- Jun Xu 0010 — Tsinghua University, Department of Computing Science & Technology, Beijing, China
- Jun Xu 0011 — Fudan University, The State Key Lab of ASIC & System, China
- Jun Xu 0012 — Fudan University, Department of Computer Science, China
- Jun Xu 0013 — Nanjing University, Institute of VLSI Design, China
- Jun (Jim) Xu (aka: Jun Xu 0014) — Georgia Institute of Technology, Atlanta, GA, USA (and 1 more)
- Jun Xu 0015 — Western Digital Corp, Singapore (and 1 more)
- Jun Xu 0016 — Jinan University, Institute of Industrial Economics, Guangzhou, China
- Jun Xu 0017 — Sun Yat-Sen University, Research Center for Drug Discovery, Guangzhou, China
- Jun Xu 0018 — Xi'an Jiaotong University, School of Mechanical Engineering, China (and 1 more)
- Jun Xu 0019 — Nankai University, College of Computer Science, TKLNDST, Tianjin, China (and 1 more)
- Jun Xu 0020 — Institute of Geographical Science and Natural Resources Research, Beijing, China (and 1 more)
- Jun Xu 0021 — Wuhan University, Electronic Information School, China (and 1 more)
- Jun Xu 0022 — Chinese Academy of Sciences, Institute of Information Engineering, State Key State Laboratory of Information Security, Beijing, China (and 1 more)
- Jun Xu 0023 — Shenzhen University, College of Computer Science and Software Engineering, China (and 2 more)
- Jun Xu 0024 — Stevens Institute of Technology, Hoboken, NJ, USA (and 1 more)
- Jun Xu 0025 — University of Central Florida, Department of Computer Science, Orlando, FL, USA
- Jun Xu 0026 — Shanghai University of Electric Power, College of Automation Engineering (and 1 more)
- Jun Xu 0027 — Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
- Jun Xu 0028 — Yunnan University, School of Information Science and Engineering, Kunming, China
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2020 – today
- 2024
[j19]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)- [j18]Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Syntactic-Informed Graph Networks for Sentence Matching. ACM Trans. Inf. Syst. 42(2): 38:1-38:29 (2024) - [c130]Zhongxiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu:
Effective In-Context Example Selection through Data Compression. ACL (Findings) 2024: 871-877 - [c129]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: 7052-7074 - [c128]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
Towards Completeness-Oriented Tool Retrieval for Large Language Models. CIKM 2024: 1930-1940 - [c127]Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu:
Large Language Models Enhanced Collaborative Filtering. CIKM 2024: 2178-2188 - [c126]Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong:
Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach. CIKM 2024: 2991-3001 - [c125]Kepu Zhang, Teng Shi, Sunhao Dai, Xiao Zhang, Yinfeng Li, Jing Lu, Xiaoxue Zang, Yang Song, Jun Xu:
SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback. CIKM 2024: 3165-3175 - [c124]Zhongxiang Sun, Kepu Zhang, Weijie Yu, Haoyu Wang, Jun Xu:
Logic Rules as Explanations for Legal Case Retrieval. LREC/COLING 2024: 10747-10759 - [c123]Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua:
A Study of Implicit Ranking Unfairness in Large Language Models. EMNLP (Findings) 2024: 7957-7970 - [c122]Jianwen Yang, Xiao Zhang, Jun Xu:
Smooth Start: A Unified Approach for Gradual Transition from Cold to Old in Recommender Systems. ICASSP 2024: 5820-5824 - [c121]Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen:
Modeling User Attention in Music Recommendation. ICDE 2024: 761-774 - [c120]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: 526-537 - [c119]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 - [c118]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: 3714-3723 - [c117]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: 4455-4466 - [c116]Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu:
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era. KDD 2024: 6437-6447 - [c115]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. RecSys 2024: 896-901 - [c114]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: 208-217 - [c113]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. SIGIR 2024: 1018-1028 - [c112]Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song:
UniSAR: Modeling User Transition Behaviors between Search and Recommendation. SIGIR 2024: 1029-1039 - [c111]Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua:
A Taxation Perspective for Fair Re-ranking. SIGIR 2024: 1494-1503 - [c110]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: 1850-1860 - [c109]Weicong Qin, Zelin Cao, Weijie Yu, Zihua Si, Sirui Chen, Jun Xu:
Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach. SIGIR 2024: 2210-2220 - [c108]Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu:
ReCODE: Modeling Repeat Consumption with Neural ODE. SIGIR 2024: 2599-2603 - [c107]Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi:
FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval. WWW 2024: 1092-1102 - [c106]Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng:
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. WWW 2024: 1330-1340 - [i78]Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu:
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems. CoRR abs/2401.09034 (2024) - [i77]Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng:
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. CoRR abs/2402.02764 (2024) - [i76]Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi:
FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval. CoRR abs/2402.10628 (2024) - [i75]Chenglei Shen, Guofu Xie, Xiao Zhang, Jun Xu:
On the Decision-Making Abilities in Role-Playing using Large Language Models. CoRR abs/2402.18807 (2024) - [i74]Zhongxiang Sun, Kepu Zhang, Weijie Yu, Haoyu Wang, Jun Xu:
Logic Rules as Explanations for Legal Case Retrieval. CoRR abs/2403.01457 (2024) - [i73]Yi Xu, Weiran Shen, Xiao Zhang, Jun Xu:
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History. CoRR abs/2403.16075 (2024) - [i72]Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu:
Large Language Models Enhanced Collaborative Filtering. CoRR abs/2403.17688 (2024) - [i71]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 abs/2404.03267 (2024) - [i70]Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song:
UniSAR: Modeling User Transition Behaviors between Search and Recommendation. CoRR abs/2404.09520 (2024) - [i69]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 abs/2404.11457 (2024) - [i68]Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua:
A Taxation Perspective for Fair Re-ranking. CoRR abs/2404.17826 (2024) - [i67]Zhongxiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu:
Effective In-Context Example Selection through Data Compression. CoRR abs/2405.11465 (2024) - [i66]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 abs/2405.16089 (2024) - [i65]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 abs/2405.16120 (2024) - [i64]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 abs/2405.16546 (2024) - [i63]Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu:
ReCODE: Modeling Repeat Consumption with Neural ODE. CoRR abs/2405.16550 (2024) - [i62]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 abs/2405.17935 (2024) - [i61]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 abs/2405.17998 (2024) - [i60]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 abs/2406.04828 (2024) - [i59]Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. CoRR abs/2406.07932 (2024) - [i58]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 abs/2406.14004 (2024) - [i57]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) - [i56]Chenglei Shen, Xiao Zhang, Teng Shi, Changshuo Zhang, Guofu Xie, Jun Xu:
A Survey of Controllable Learning: Methods and Applications in Information Retrieval. CoRR abs/2407.06083 (2024) - [i55]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) - [i54]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) - [i53]Changshuo Zhang, Teng Shi, Xiao Zhang, Qi Liu, Ruobing Xie, Jun Xu, Ji-Rong Wen:
Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation. CoRR abs/2408.08209 (2024) - [i52]Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu:
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. CoRR abs/2408.09748 (2024) - [i51]Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, Jun Xu:
Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration. CoRR abs/2409.06377 (2024) - [i50]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. CoRR abs/2410.08197 (2024) - 2023
- [j17]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j16]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): 111:1-111:31 (2023) - [c105]Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen:
Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction. CIKM 2023: 390-399 - [c104]Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu:
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. CIKM 2023: 2239-2248 - [c103]Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu:
KuaiSAR: A Unified Search And Recommendation Dataset. CIKM 2023: 5407-5411 - [c102]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 - [c101]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: 3855-3864 - [c100]Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen:
Reward Imputation with Sketching for Contextual Batched Bandits. NeurIPS 2023 - [c99]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: 528-539 - [c98]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: 1126-1132 - [c97]Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen:
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. SIGIR 2023: 1313-1323 - [c96]Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen:
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. SIGIR 2023: 1549-1558 - [c95]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. SIGIR-AP 2023: 129-138 - [c94]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 - [c93]Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He:
Conditional counterfactual causal effect for individual attribution. UAI 2023: 2519-2528 - [c92]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. WSDM 2023: 913-921 - [c91]Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong:
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. WWW 2023: 3701-3711 - [i49]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) - [i48]Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CoRR abs/2303.08722 (2023) - [i47]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. CoRR abs/2305.02182 (2023) - [i46]Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen:
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. CoRR abs/2305.10822 (2023) - [i45]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 abs/2306.05118 (2023) - [i44]Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu:
KuaiSAR: A Unified Search And Recommendation Dataset. CoRR abs/2306.07705 (2023) - [i43]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i42]Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen:
LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops. CoRR abs/2308.05902 (2023) - [i41]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. CoRR abs/2308.08120 (2023) - [i40]Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu:
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. CoRR abs/2308.08497 (2023) - [i39]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 abs/2309.13375 (2023) - [i38]Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Jun Xu:
LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts. CoRR abs/2310.20501 (2023) - [i37]Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua:
Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study. CoRR abs/2311.07054 (2023) - [i36]Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng:
AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval. CoRR abs/2311.14084 (2023) - [i35]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 abs/2312.09591 (2023) - 2022
- [j15]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: 14-24 (2022) - [j14]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: 721-733 (2022) - [c90]Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CIKM 2022: 2260-2269 - [c89]Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Semantic Sentence Matching via Interacting Syntax Graphs. COLING 2022: 938-949 - [c88]Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen:
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. COLING 2022: 2363-2373 - [c87]Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan:
Variance Reduction for Deep Q-Learning Using Stochastic Recursive Gradient. ICONIP (4) 2022: 634-646 - [c86]Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, Ji-Rong Wen:
A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation. ICTIR 2022: 232-242 - [c85]Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. KDD 2022: 2504-2514 - [c84]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 - [c83]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: 224-233 - [i34]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. CoRR abs/2202.04514 (2022) - [i33]Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou:
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems. CoRR abs/2202.11351 (2022) - [i32]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition. CoRR abs/2204.00815 (2022) - [i31]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) - [i30]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 abs/2206.09116 (2022) - [i29]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) - [i28]Zhenhua Dong, Zhe Wang, Jun Xu, Ruiming Tang, Jirong Wen:
A Brief History of Recommender Systems. CoRR abs/2209.01860 (2022) - [i27]Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen:
Partial Information as Full: Reward Imputation with Sketching in Bandits. CoRR abs/2210.06719 (2022) - [i26]Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen:
Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach. CoRR abs/2210.11012 (2022) - 2021
- [j13]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): 151601 (2021) - [j12]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): 1-16 (2021) - [j11]Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen:
RLPS: A Reinforcement Learning-Based Framework for Personalized Search. ACM Trans. Inf. Syst. 39(3): 27:1-27:29 (2021) - [c82]Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen:
Regret Bounds for Online Kernel Selection in Continuous Kernel Space. AAAI 2021: 10931-10938 - [c81]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: 1752-1763 - [c80]Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen:
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. SIGIR 2021: 41-50 - [c79]Liang Pang, Qingyao Ai, Jun Xu:
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. SIGIR 2021: 2647-2650 - [c78]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: 364-372 - [c77]Liang Pang, Qingyao Ai, Jun Xu:
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. WSDM 2021: 1137-1140 - [i25]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 abs/2106.03345 (2021) - [i24]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 abs/2108.05652 (2021) - 2020
- [j10]Jun Xu, Xiangnan He, Hang Li:
Deep Learning for Matching in Search and Recommendation. Found. Trends Inf. Retr. 14(2-3): 102-288 (2020) - [c76]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: 137-147 - [c75]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: 2985-2994 - [c74]Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen:
Counterfactual learning for recommender system. RecSys 2020: 568-569 - [c73]Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen:
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. SIGIR 2020: 499-508 - [c72]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: 509-518 - [c71]Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen:
RLPer: A Reinforcement Learning Model for Personalized Search. WWW 2020: 2298-2308 - [i23]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 abs/2007.12817 (2020) - [i22]Yang Bai, Xiaoguang Li, Gang Wang, Chaoliang Zhang, Lifeng Shang, Jun Xu, Zhaowei Wang, Fangshan Wang, Qun Liu:
SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval. CoRR abs/2010.00768 (2020) - [i21]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 abs/2010.03224 (2020) - [i20]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 abs/2010.07717 (2020)
2010 – 2019
- 2019
- [j9]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): 1181-1193 (2019) - [c70]Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Differentiated Distribution Recovery for Neural Text Generation. AAAI 2019: 6682-6689 - [c69]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: 6875-6882 - [c68]Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Teaching Machines to Extract Main Content for Machine Reading Comprehension. AAAI 2019: 9973-9974 - [c67]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: 1603-1612 - [c66]Shuqi Lu, Zhicheng Dou, Jun Xu, Jian-Yun Nie, Ji-Rong Wen:
PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data. SIGIR 2019: 555-564 - [c65]Yadi Lao, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen:
Name Entity Recognition with Policy-Value Networks. SIGIR 2019: 1245-1248 - [c64]Jun Xu, Xiangnan He, Hang Li:
Deep Learning for Matching in Search and Recommendation. WSDM 2019: 832-833 - [i19]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng:
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering. CoRR abs/1901.03866 (2019) - [i18]Jingxuan Yang, Jun Xu, Jianzhuo Tong, Sheng Gao, Jun Guo, Jirong Wen:
Pre-training of Context-aware Item Representation for Next Basket Recommendation. CoRR abs/1904.12604 (2019) - [i17]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 abs/1907.05340 (2019) - [i16]Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen:
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. CoRR abs/1912.05891 (2019) - 2018
- [j8]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): 323-334 (2018) - [c63]Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph. AAAI 2018: 8175-8176 - [c62]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng:
Learning to Control the Specificity in Neural Response Generation. ACL (1) 2018: 1108-1117 - [c61]Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Tailored Sequence to Sequence Models to Different Conversation Scenarios. ACL (1) 2018: 1479-1488 - [c60]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: 90-102 - [c59]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: 28-40 - [c58]Yixuan He, Shuchang Tao, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Text Matching with Monte Carlo Tree Search. CCIR 2018: 41-52 - [c57]Zhaohui Li, Jun Xu, Yanyan Lan, Jiafeng Guo, Yue Feng, Xueqi Cheng:
Hierarchical Answer Selection Framework for Multi-passage Machine Reading Comprehension. CCIR 2018: 93-104 - [c56]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Generative Paragraph Vector. CCIR 2018: 105-118 - [c55]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng:
Question Headline Generation for News Articles. CIKM 2018: 617-626 - [c54]Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Neighborhood Voting: A Novel Search Scheme for Hashing. CIKM 2018: 1731-1734 - [c53]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Spherical Paragraph Model. ECIR 2018: 289-302 - [c52]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Aggregating Neural Word Embeddings for Document Representation. ECIR 2018: 303-315 - [c51]Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. ICTIR 2018: 83-90 - [c50]Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Multi Page Search with Reinforcement Learning to Rank. ICTIR 2018: 175-178 - [c49]Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. IJCAI 2018: 4567-4573 - [c48]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: 125-134 - [c47]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng:
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. SIGIR 2018: 375-384 - [c46]Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method. SIGIR 2018: 885-888 - [c45]Jun Xu, Xiangnan He, Hang Li:
Deep Learning for Matching in Search and Recommendation. SIGIR 2018: 1365-1368 - [i15]Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. CoRR abs/1804.08066 (2018) - [i14]Yadi Lao, Jun Xu, Yanyan Lan, Jiafeng Guo, Sheng Gao, Xueqi Cheng:
Sequence Tagging with Policy-Value Networks and Tree Search. CoRR abs/1804.10911 (2018) - [i13]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng:
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. CoRR abs/1805.05737 (2018) - [i12]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 abs/1806.10869 (2018) - 2017
- [j7]Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification. ACM Trans. Intell. Syst. Technol. 8(3): 41:1-41:26 (2017) - [c44]Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng:
Locally Smoothed Neural Networks. ACML 2017: 177-191 - [c43]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. CCIR 2017: 3-16 - [c42]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Academic Access Data Analysis for Literature Recommendation. CCIR 2017: 42-54 - [c41]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng:
Learning Visual Features from Snapshots for Web Search. CIKM 2017: 247-256 - [c40]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng:
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. CIKM 2017: 257-266 - [c39]Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng:
Adapting Markov Decision Process for Search Result Diversification. SIGIR 2017: 535-544 - [c38]Zheng Wei, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Reinforcement Learning to Rank with Markov Decision Process. SIGIR 2017: 945-948 - [i11]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Spherical Paragraph Model. CoRR abs/1707.05635 (2017) - [i10]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
A Deep Investigation of Deep IR Models. CoRR abs/1707.07700 (2017) - [i9]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng:
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. CoRR abs/1710.05649 (2017) - [i8]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng:
Learning Visual Features from Snapshots for Web Search. CoRR abs/1710.06997 (2017) - [i7]Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng:
Locally Smoothed Neural Networks. CoRR abs/1711.08132 (2017) - 2016
- [c37]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng:
Text Matching as Image Recognition. AAAI 2016: 2793-2799 - [c36]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations. AAAI 2016: 2821-2827 - [c35]Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng:
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. AAAI 2016: 2835-2841 - [c34]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
SPAN: Understanding a Question with Its Support Answers. AAAI 2016: 4250-4251 - [c33]Shuxin Wang, Xin Jiang, Hang Li, Jun Xu, Bin Wang:
Incorporating Semantic Knowledge into Latent Matching Model in Search. AIRS 2016: 29-41 - [c32]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Factorizing Sequential and Historical Purchase Data for Basket Recommendation. AIRS 2016: 237-248 - [c31]Tianyou Guo, Jun Xu, Xiaohui Yan, Jianpeng Hou, Ping Li, Zhaohui Li, Jiafeng Guo, Xueqi Cheng:
Ease the Process of Machine Learning with Dataflow. CIKM 2016: 2437-2440 - [c30]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Multi-task Representation Learning for Demographic Prediction. ECIR 2016: 88-99 - [c29]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Sparse Word Embeddings Using ℓ1 Regularized Online Learning. IJCAI 2016: 2915-2921 - [c28]Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng:
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. IJCAI 2016: 2922-2928 - [c27]Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Modeling Document Novelty with Neural Tensor Network for Search Result Diversification. SIGIR 2016: 395-404 - [c26]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Your Cart tells You: Inferring Demographic Attributes from Purchase Data. WSDM 2016: 173-182 - [i6]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng:
Text Matching as Image Recognition. CoRR abs/1602.06359 (2016) - [i5]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Semantic Regularities in Document Representations. CoRR abs/1603.07603 (2016) - [i4]Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng:
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. CoRR abs/1604.04378 (2016) - [i3]Shuxin Wang, Xin Jiang, Hang Li, Jun Xu, Bin Wang:
Incorporating Semantic Knowledge into Latent Matching Model in Search. CoRR abs/1604.06270 (2016) - [i2]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
A Study of MatchPyramid Models on Ad-hoc Retrieval. CoRR abs/1606.04648 (2016) - 2015
- [c25]Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
A Probabilistic Model for Bursty Topic Discovery in Microblogs. AAAI 2015: 353-359 - [c24]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations. ACL (1) 2015: 136-145 - [c23]Yaogong Zhang, Jun Xu, Yanyan Lan, Jiafeng Guo, Maoqiang Xie, Yalou Huang, Xueqi Cheng:
Modeling Parameter Interactions in Ranking SVM. CIKM 2015: 1799-1802 - [c22]Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Next Basket Recommendation with Neural Networks. RecSys Posters 2015 - [c21]Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures. SIGIR 2015: 113-122 - [c20]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, Xueqi Cheng:
Learning Hierarchical Representation Model for NextBasket Recommendation. SIGIR 2015: 403-412 - [i1]Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng:
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. CoRR abs/1511.08277 (2015) - 2014
- [j6]Hang Li, Jun Xu:
Semantic Matching in Search. Found. Trends Inf. Retr. 7(5): 343-469 (2014) - [c19]Quan Wang, Jun Xu, Hang Li:
User Message Model: A New Approach to Scalable User Modeling on Microblog. AIRS 2014: 209-220 - [c18]Fangzhao Wu, Jun Xu, Hang Li, Xin Jiang:
Ranking Optimization with Constraints. CIKM 2014: 1049-1058 - [c17]Hang Li, Jun Xu:
Semantic Matching in Search. SMIR@SIGIR 2014: 4 - [c16]Julio Gonzalo, Hang Li, Alessandro Moschitti, Jun Xu:
SIGIR 2014 workshop on semantic matching in information retrieval. SIGIR 2014: 1296 - [e1]Julio Gonzalo, Hang Li, Alessandro Moschitti, Jun Xu:
Proceedings of Workshop on Semantic Matching in Information Retrieval co-located with the 37th international ACM SIGIR conference on research and development in information retrieval, SMIR@SIGIR 2014, Queensland, Australia, July 11, 2014. CEUR Workshop Proceedings 1204, CEUR-WS.org 2014 [contents] - 2013
- [j5]Quan Wang, Jun Xu, Hang Li, Nick Craswell:
Regularized Latent Semantic Indexing: A New Approach to Large-Scale Topic Modeling. ACM Trans. Inf. Syst. 31(1): 5:1-5:44 (2013) - [c15]Wei Wu, Hang Li, Jun Xu:
Learning query and document similarities from click-through bipartite graph with metadata. WSDM 2013: 687-696 - 2012
- [c14]Quan Wang, Zheng Cao, Jun Xu, Hang Li:
Group matrix factorization for scalable topic modeling. SIGIR 2012: 375-384 - [c13]Hang Li, Jun Xu:
Beyond bag-of-words: machine learning for query-document matching in web search. SIGIR 2012: 1177 - [c12]Hang Li, Jun Xu:
Machine learning for query-document matching in search. WSDM 2012: 767-768 - 2011
- [j4]Wei Wu, Jun Xu, Hang Li, Satoshi Oyama:
Learning a Robust Relevance Model for Search Using Kernel Methods. J. Mach. Learn. Res. 12: 1429-1458 (2011) - [c11]Quan Wang, Jun Xu, Hang Li, Nick Craswell:
Regularized latent semantic indexing. SIGIR 2011: 685-694 - [c10]Jun Xu, Wei Wu, Hang Li, Gu Xu:
A kernel approach to addressing term mismatch. WWW (Companion Volume) 2011: 153-154 - 2010
- [j3]Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li:
LETOR: A benchmark collection for research on learning to rank for information retrieval. Inf. Retr. 13(4): 346-374 (2010) - [c9]Jun Xu, Hang Li, Chaoliang Zhong:
Relevance Ranking Using Kernels. AIRS 2010: 1-12
2000 – 2009
- 2008
- [c8]Weijian Ni, Jun Xu, Hang Li, Yalou Huang:
Group-based learning: a boosting approach. CIKM 2008: 1443-1444 - [c7]Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma:
Directly optimizing evaluation measures in learning to rank. SIGIR 2008: 107-114 - 2007
- [j2]Jun Xu, Yalou Huang:
Using SVM to Extract Acronyms from Text. Soft Comput. 11(4): 369-373 (2007) - [c6]Jun Xu, Yunbo Cao, Hang Li, Nick Craswell, Yalou Huang:
Searching Documents Based on Relevance and Type. ECIR 2007: 629-636 - [c5]Jun Xu, Hang Li:
AdaRank: a boosting algorithm for information retrieval. SIGIR 2007: 391-398 - 2006
- [j1]Jun Xu, Yunbo Cao, Hang Li, Min Zhao, Yalou Huang:
A Supervised Learning Approach to Search of Definitions. J. Comput. Sci. Technol. 21(3): 439-449 (2006) - [c4]Jun Xu, Yunbo Cao, Hang Li, Yalou Huang:
Cost-Sensitive Learning of SVM for Ranking. ECML 2006: 833-840 - [c3]Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Huang, Hsiao-Wuen Hon:
Adapting ranking SVM to document retrieval. SIGIR 2006: 186-193 - 2005
- [c2]Hang Li, Yunbo Cao, Jun Xu, Yunhua Hu, Shenjie Li, Dmitriy Meyerzon:
A new approach to intranet search based on information extraction. CIKM 2005: 460-468 - [c1]Jun Xu, Yunbo Cao, Hang Li, Min Zhao:
Ranking definitions with supervised learning methods. WWW (Special interest tracks and posters) 2005: 811-819
Coauthor Index
[c114] [c106] [i77] [i36] [j13] [c73] [c72] [j9] [c70] [c69] [c68] [i19] [i17] [i16] [j8] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [i15] [i14] [i13] [i12] [j7] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [i11] [i10] [i9] [i8] [i7] [c37] [c36] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [i6] [i5] [i4] [i2] [c25] [c24] [c23] [c22] [c21] [c20] [i1]
[j17] [i43] [j13] [j12] [j9] [c70] [c69] [c68] [i19] [i17] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [i15] [i14] [i13] [i12] [j7] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [i11] [i10] [i9] [i8] [i7] [c37] [c36] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [i6] [i5] [i4] [i2] [c25] [c24] [c23] [c22] [c21] [c20] [i1]
[j17] [i43] [j13] [c73] [c72] [j9] [c70] [c69] [c68] [i19] [i17] [i16] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [i15] [i14] [i13] [i12] [j7] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [i11] [i10] [i9] [i8] [i7] [c37] [c36] [c35] [c34] [c32] [c30] [c29] [c28] [c27] [c26] [i6] [i5] [i4] [i2] [c25] [c24] [c23] [c22] [c21] [c20] [i1]
Ji-Rong Wen
aka: Jirong Wen
aka: Jirong Wen
[j19] [j18] [c129] [c128] [c121] [c117] [i66] [i64] [i62] [i61] [i60] [i59] [i57] [i54] [i53] [i50] [j17] [j16] [c105] [c100] [c99] [c97] [c96] [c95] [c92] [i48] [i46] [i43] [i42] [i41] [j14] [c90] [c89] [c88] [c86] [c85] [c84] [c83] [i34] [i32] [i29] [i28] [i27] [i26] [j13] [j11] [c82] [c81] [c80] [c78] [i25] [i24] [c76] [c75] [c74] [c73] [c72] [c71] [i23] [i21] [i20] [c66] [c65] [i18] [i16]
[c130] [c127] [c125] [c122] [c121] [c120] [c115] [c113] [c112] [c110] [c108] [c107] [i78] [i76] [i75] [i73] [i72] [i71] [i70] [i67] [i63] [i60] [i58] [i56] [i53] [i51] [j16] [c104] [c103] [c102] [c101] [c100] [c98] [c97] [c96] [c95] [c94] [c92] [c91] [i49] [i47] [i46] [i44] [i42] [i40] [i39] [i38] [c87] [c85] [c83] [i34] [i32] [i31] [i27] [i26] [c82] [c80] [i23]
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