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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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Journal Articles
- 2024
[j17]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)- 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) - 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) - 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) - 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) - 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) - 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) - 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) - 2014
- [j6]Hang Li, Jun Xu:
Semantic Matching in Search. Found. Trends Inf. Retr. 7(5): 343-469 (2014) - 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) - 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) - 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) - 2007
- [j2]Jun Xu, Yalou Huang:
Using SVM to Extract Acronyms from Text. Soft Comput. 11(4): 369-373 (2007) - 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)
Conference and Workshop Papers
- 2023
- [c102]Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen:
Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction. CIKM 2023: 390-399 - [c101]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 - [c100]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 - [c99]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 - [c98]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 - [c97]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 - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c92]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 - [c91]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 - [c90]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 - 2022
- [c89]Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CIKM 2022: 2260-2269 - [c88]Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Semantic Sentence Matching via Interacting Syntax Graphs. COLING 2022: 938-949 - [c87]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 - [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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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
- [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
- [c9]Jun Xu, Hang Li, Chaoliang Zhong:
Relevance Ranking Using Kernels. AIRS 2010: 1-12 - 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
- [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
- [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
Editorship
- 2014
- [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]
Informal and Other Publications
- 2024
- [i44]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) - 2023
- [i43]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) - [i42]Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CoRR abs/2303.08722 (2023) - [i41]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) - [i40]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) - [i39]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) - [i38]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) - [i37]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) - [i36]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) - [i35]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) - [i34]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
- [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]Zhenhua Dong, Zhe Wang, Jun Xu, Ruiming Tang, Jirong Wen:
A Brief History of Recommender Systems. CoRR abs/2209.01860 (2022) - [i26]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) - [i25]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
- [i24]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) - [i23]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
- [i22]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) - [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) - 2019
- [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
- [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
- [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
- [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
- [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)
Coauthor Index
[j13] [j9] [j8] [j7] [c73] [c72] [c70] [c69] [c68] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [i19] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i2] [i1]
[j13] [j12] [j9] [j7] [c70] [c69] [c68] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [i19] [i17] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i2] [i1]
[j13] [j9] [j7] [c73] [c72] [c70] [c69] [c68] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c32] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [i19] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i2] [i1]
Ji-Rong Wen
aka: Jirong Wen
aka: Jirong Wen
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