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• affiliation:Tsinghua University, Department of Computer Science and Technology, Beijing, China

• Yiqun Liu —disambiguation page
• Yiqun Liu0002 —Engineering University of Chinese Armed Police Force, Department of Electronic Technology, Key Laboratory of CAPF for Cryptology and Information Security, Xi'an, China(and 1 more)
• Yiqun Liu0003 — Leibniz University Hannover, Germany
• Yiqun Liu0004 —Harbin Institute of Technology, School of Automotive Engineering, Weihai, China(and 1 more)
• Yiqung Liu0005(aka: Yiqun Liu0005) — Chinese Academy of Sciences, Institute of Software, Beijing, China
• Yiqun Liu0006 — Facebook Inc., Menlo Park, CA, USA
• Yiqun Liu0007 —Ferris State University, Big Rapids, MI, USA(and 1 more)
• Yiqun Liu0008 — Peking University, College of Engineering, Beijing, China
• Yiqun Liu0009 — Fudan University, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai, China
• Yiqun Liu0010 — LinkedIn Corporation, Sunnyvale, CA, USA
• Yiqun Liu0011 — Xi'an Jiaotong University, Xi'an, China
• Yiqun Liu0012 — Baidu Inc., China
• Yiqun Liu0013 —ATEME, Rennes, France(and 1 more)
• Yiqun Liu0014 — Liaocheng University, School of Mathematical Sciences, China
• Yiqun Liu0015 — University of Adelaide, Department of Health and Medical Science, Australia
• Yiqun Liu0016 — China National GeneBank, BGI Research, Shenzhen, China

• 2025
• 
  [i84]
  Qingyao Ai,Jingtao Zhan,Yiqun Liu:
  Foundations of GenIR.CoRRabs/2501.02842 (2025)
• 
  [i83]
  Weihang Su,Yichen Tang,Qingyao Ai,Junxi Yan,Changyue Wang,Hongning Wang,Ziyi Ye,Yujia Zhou,Yiqun Liu:
  Parametric Retrieval Augmented Generation.CoRRabs/2501.15915 (2025)
• 
  [i82]
  Yiteng Tu,Weihang Su,Yujia Zhou,Yiqun Liu,Qingyao Ai:
  RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects.CoRRabs/2501.18365 (2025)
• 
  [i81]
  Jingtao Zhan,Jiahao Zhao,Jiayu Li,Yiqun Liu,Bo Zhang,Qingyao Ai,Jiaxin Mao,Hongning Wang,Min Zhang,Shaoping Ma:
  Evaluating Intelligence via Trial and Error.CoRRabs/2502.18858 (2025)
• 2024
• 
  [j55]
  Shuqi Zhu,Xiaohui Xie,Ziyi Ye,Qingyao Ai,Yiqun Liu:
  Comparing point-wise and pair-wise relevance judgment with brain signals.J. Assoc. Inf. Sci. Technol.75(9):957-971 (2024)
• 
  [j54]
  Yixiao Ma,Yueyue Wu,Qingyao Ai,Yiqun Liu,Yunqiu Shao,Min Zhang,Shaoping Ma:
  Incorporating Structural Information into Legal Case Retrieval.ACM Trans. Inf. Syst.42(2):40:1-40:28 (2024)
• 
  [j53]
  Yunqiu Shao,Haitao Li,Yueyue Wu,Yiqun Liu,Qingyao Ai,Jiaxin Mao,Yixiao Ma,Shaoping Ma:
  An Intent Taxonomy of Legal Case Retrieval.ACM Trans. Inf. Syst.42(2):62:1-62:27 (2024)
• 
  [j52]
  Ziyi Ye,Xiaohui Xie,Qingyao Ai,Yiqun Liu,Zhihong Wang,Weihang Su,Min Zhang:
  Relevance Feedback with Brain Signals.ACM Trans. Inf. Syst.42(4):93:1-93:37 (2024)
• 
  [c290]
  Yan Fang,Qingyao Ai,Jingtao Zhan,Yiqun Liu,Xiaolong Wu,Zhao Cao:
  Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval.AAAI2024:17994-18002
• 
  [c289]
  Weihang Su,Qingyao Ai,Xiangsheng Li,Jia Chen,Yiqun Liu,Xiaolong Wu,Shengluan Hou:
  Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-Hoc Retrieval.AAAI2024:19026-19034
• 
  [c288]
  Jingtao Zhan,Qingyao Ai,Yiqun Liu,Yingwei Pan,Ting Yao,Jiaxin Mao,Shaoping Ma,Tao Mei:
  Prompt Refinement with Image Pivot for Text-to-Image Generation.ACL (1)2024:941-954
• 
  [c287]
  Weihang Su,Yichen Tang,Qingyao Ai,Zhijing Wu,Yiqun Liu:
  DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models.ACL (1)2024:12991-13013
• 
  [c286]
  Weihang Su,Changyue Wang,Qingyao Ai,Yiran Hu,Zhijing Wu,Yujia Zhou,Yiqun Liu:
  Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models.ACL (Findings)2024:14379-14391
• 
  [c285]
  Vadim Grigorev,Jiayu Li,Weizhi Ma,Zhiyu He,Min Zhang,Yiqun Liu,Ming Yan,Ji Zhang:
  SiTunes: A Situational Music Recommendation Dataset with Physiological and Psychological Signals.CHIIR2024:417-421
• 
  [c284]
  Zhumin Chu,Qingyao Ai,Yiteng Tu,Haitao Li,Yiqun Liu:
  Automatic Large Language Model Evaluation via Peer Review.CIKM2024:384-393
• 
  [c283]
  Bulou Liu,Zhenhao Zhu,Qingyao Ai,Yiqun Liu,Yueyue Wu:
  LeDQA: A Chinese Legal Case Document-based Question Answering Dataset.CIKM2024:5385-5389
• 
  [c282]
  Shenghao Yang,Weizhi Ma,Peijie Sun,Min Zhang,Qingyao Ai,Yiqun Liu,Mingchen Cai:
  Common Sense Enhanced Knowledge-based Recommendation with Large Language Model.DASFAA (5)2024:381-390
• 
  [c281]
  Weihang Su,Yiran Hu,Anzhe Xie,Qingyao Ai,Quezi Bing,Ning Zheng,Yun Liu,Weixing Shen,Yiqun Liu:
  STARD: A Chinese Statute Retrieval Dataset Derived from Real-life Queries by Non-professionals.EMNLP (Findings)2024:10658-10671
• 
  [c280]
  Haitao Li,You Chen,Zhekai Ge,Qingyao Ai,Yiqun Liu,Quan Zhou,Shuai Huo:
  Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval.JSAI-isAI2024:212-227
• 
  [c279]
  Yuli Liu,Christian Walder,Lexing Xie,Yiqun Liu:
  Probabilistic Attention for Sequential Recommendation.KDD2024:1956-1967
• 
  [c278]
  Ziyi Ye,Jingtao Zhan,Qingyao Ai,Yiqun Liu,Maarten de Rijke,Christina Lioma,Tuukka Ruotsalo:
  Query Augmentation with Brain Signals.ACM Multimedia2024:7561-7570
• 
  [c277]
  Haitao Li,You Chen,Qingyao Ai,Yueyue Wu,Ruizhe Zhang,Yiqun Liu:
  LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models.NeurIPS2024
• 
  [c276]
  Qian Dong,Yiding Liu,Qingyao Ai,Zhijing Wu,Haitao Li,Yiqun Liu,Shuaiqiang Wang,Dawei Yin,Shaoping Ma:
  Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback.SIGIR2024:48-58
• 
  [c275]
  Shenghao Yang,Weizhi Ma,Peijie Sun,Qingyao Ai,Yiqun Liu,Mingchen Cai,Min Zhang:
  Sequential Recommendation with Latent Relations based on Large Language Model.SIGIR2024:335-344
• 
  [c274]
  Shaorun Zhang,Zhiyu He,Ziyi Ye,Peijie Sun,Qingyao Ai,Min Zhang,Yiqun Liu:
  EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation.SIGIR2024:698-708
• 
  [c273]
  Yan Fang,Jingtao Zhan,Qingyao Ai,Jiaxin Mao,Weihang Su,Jia Chen,Yiqun Liu:
  Scaling Laws For Dense Retrieval.SIGIR2024:1339-1349
• 
  [c272]
  Jingtao Zhan,Qingyao Ai,Yiqun Liu,Jia Chen,Shaoping Ma:
  Capability-aware Prompt Reformulation Learning for Text-to-Image Generation.SIGIR2024:2145-2155
• 
  [c271]
  Haitao Li,Yunqiu Shao,Yueyue Wu,Qingyao Ai,Yixiao Ma,Yiqun Liu:
  LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset.SIGIR2024:2251-2260
• 
  [c270]
  Weihang Su,Yichen Tang,Qingyao Ai,Changyue Wang,Zhijing Wu,Yiqun Liu:
  Mitigating Entity-Level Hallucination in Large Language Models.SIGIR-AP2024:23-31
• 
  [c269]
  Changyue Wang,Weihang Su,Yiran Hu,Qingyao Ai,Yueyue Wu,Cheng Luo,Yiqun Liu,Min Zhang,Shaoping Ma:
  LeKUBE: A Knowledge Update BEnchmark for Legal Domain.SIGIR-AP2024:175-185
• 
  [c268]
  Makoto P. Kato,Noriko Kando,Charles L. A. Clarke,Yiqun Liu:
  The First Workshop on Evaluation Methodologies, Testbeds and Community for Information Access Research (EMTCIR 2024).SIGIR-AP2024:311-314
• 
  [e7]
  Praveen Acharya,Charles L. A. Clarke,Fabio Crestani,Xiao Fu,Gareth J. F. Jones,Noriko Kando,Makoto P. Kato,Aldo Lipani,Yiqun Liu:
  Joint Proceedings of the 1st Workshop on Evaluation Methodologies,Testbeds and Community for Information Access Research (EMTCIR 2024) and the 1st Workshop on User Modelling in Conversational Information Retrieval (UM-CIR 2024) co-located with the 2nd International ACM SIGIR Conference on Information Retrieval in the Asia Pacific (SIGIR-AP 2024), Tokyo, Japan, December 12, 2024.CEUR Workshop Proceedings 3854,CEUR-WS.org2024[contents]
• 
  [i80]
  Zhumin Chu,Qingyao Ai,Yiteng Tu,Haitao Li,Yiqun Liu:
  PRE: A Peer Review Based Large Language Model Evaluator.CoRRabs/2401.15641 (2024)
• 
  [i79]
  Ziyi Ye,Jingtao Zhan,Qingyao Ai,Yiqun Liu,Maarten de Rijke,Christina Lioma,Tuukka Ruotsalo:
  Query Augmentation by Decoding Semantics from Brain Signals.CoRRabs/2402.15708 (2024)
• 
  [i78]
  Ruizhe Zhang,Qingyao Ai,Yiqun Liu,Yueyue Wu,Beining Wang:
  Gender Biased Legal Case Retrieval System on Users' Decision Process.CoRRabs/2403.00814 (2024)
• 
  [i77]
  Bangde Du,Ziyi Ye,Zhijing Wu,Qingyao Ai,Yiqun Liu:
  Exploring the Impact of Opinion Polarization on Short Video Consumption.CoRRabs/2403.04184 (2024)
• 
  [i76]
  Weihang Su,Changyue Wang,Qingyao Ai,Yiran Hu,Zhijing Wu,Yujia Zhou,Yiqun Liu:
  Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models.CoRRabs/2403.06448 (2024)
• 
  [i75]
  Weihang Su,Yichen Tang,Qingyao Ai,Zhijing Wu,Yiqun Liu:
  DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models.CoRRabs/2403.10081 (2024)
• 
  [i74]
  Ruizhe Zhang,Haitao Li,Yueyue Wu,Qingyao Ai,Yiqun Liu,Min Zhang,Shaoping Ma:
  Evaluation Ethics of LLMs in Legal Domain.CoRRabs/2403.11152 (2024)
• 
  [i73]
  Ruizhe Zhang,Qingyao Ai,Ziyi Ye,Yueyue Wu,Xiaohui Xie,Yiqun Liu:
  Improving Legal Case Retrieval with Brain Signals.CoRRabs/2403.13242 (2024)
• 
  [i72]
  Shenghao Yang,Weizhi Ma,Peijie Sun,Min Zhang,Qingyao Ai,Yiqun Liu,Mingchen Cai:
  Common Sense Enhanced Knowledge-based Recommendation with Large Language Model.CoRRabs/2403.18325 (2024)
• 
  [i71]
  Shenghao Yang,Weizhi Ma,Peijie Sun,Qingyao Ai,Yiqun Liu,Mingchen Cai,Min Zhang:
  Sequential Recommendation with Latent Relations based on Large Language Model.CoRRabs/2403.18348 (2024)
• 
  [i70]
  Haitao Li,Qingyao Ai,Jia Chen,Qian Dong,Zhijing Wu,Yiqun Liu,Chong Chen,Qi Tian:
  BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models.CoRRabs/2403.18365 (2024)
• 
  [i69]
  Haitao Li,Qingyao Ai,Xinyan Han,Jia Chen,Qian Dong,Yiqun Liu,Chong Chen,Qi Tian:
  DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment.CoRRabs/2403.18435 (2024)
• 
  [i68]
  Yan Fang,Jingtao Zhan,Qingyao Ai,Jiaxin Mao,Weihang Su,Jia Chen,Yiqun Liu:
  Scaling Laws For Dense Retrieval.CoRRabs/2403.18684 (2024)
• 
  [i67]
  Jingtao Zhan,Qingyao Ai,Yiqun Liu,Jia Chen,Shaoping Ma:
  Capability-aware Prompt Reformulation Learning for Text-to-Image Generation.CoRRabs/2403.19716 (2024)
• 
  [i66]
  Haitao Li,You Chen,Zhekai Ge,Qingyao Ai,Yiqun Liu,Quan Zhou,Shuai Huo:
  Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval.CoRRabs/2404.00947 (2024)
• 
  [i65]
  Shaorun Zhang,Zhiyu He,Ziyi Ye,Peijie Sun,Qingyao Ai,Min Zhang,Yiqun Liu:
  EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation.CoRRabs/2404.01008 (2024)
• 
  [i64]
  Zhiyu He,Jiayu Li,Weizhi Ma,Min Zhang,Yiqun Liu,Shaoping Ma:
  Introducing EEG Analyses to Help Personal Music Preference Prediction.CoRRabs/2404.15753 (2024)
• 
  [i63]
  Shuqi Zhu,Ziyi Ye,Qingyao Ai,Yiqun Liu:
  EEG-ImageNet: An Electroencephalogram Dataset and Benchmarks with Image Visual Stimuli of Multi-Granularity Labels.CoRRabs/2406.07151 (2024)
• 
  [i62]
  Weihang Su,Yiran Hu,Anzhe Xie,Qingyao Ai,Zibing Que,Ning Zheng,Yun Liu,Weixing Shen,Yiqun Liu:
  STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals.CoRRabs/2406.15313 (2024)
• 
  [i61]
  Jingtao Zhan,Qingyao Ai,Yiqun Liu,Yingwei Pan,Ting Yao,Jiaxin Mao,Shaoping Ma,Tao Mei:
  Prompt Refinement with Image Pivot for Text-to-Image Generation.CoRRabs/2407.00247 (2024)
• 
  [i60]
  Weihang Su,Yichen Tang,Qingyao Ai,Changyue Wang,Zhijing Wu,Yiqun Liu:
  Mitigating Entity-Level Hallucination in Large Language Models.CoRRabs/2407.09417 (2024)
• 
  [i59]
  Changyue Wang,Weihang Su,Yiran Hu,Qingyao Ai,Yueyue Wu,Cheng Luo,Yiqun Liu,Min Zhang,Shaoping Ma:
  LeKUBE: A Legal Knowledge Update BEnchmark.CoRRabs/2407.14192 (2024)
• 
  [i58]
  Haitao Li,You Chen,Qingyao Ai,Yueyue Wu,Ruizhe Zhang,Yiqun Liu:
  LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models.CoRRabs/2409.20288 (2024)
• 
  [i57]
  Ziyi Ye,Xiangsheng Li,Qiuchi Li,Qingyao Ai,Yujia Zhou,Wei Shen,Dong Yan,Yiqun Liu:
  Beyond Scalar Reward Model: Learning Generative Judge from Preference Data.CoRRabs/2410.03742 (2024)
• 
  [i56]
  Junjie Chen,Weihang Su,Zhumin Chu,Haitao Li,Qinyao Ai,Yiqun Liu,Min Zhang,Shaoping Ma:
  An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation.CoRRabs/2410.12265 (2024)
• 
  [i55]
  Haitao Li,Junjie Chen,Qingyao Ai,Zhumin Chu,Yujia Zhou,Qian Dong,Yiqun Liu:
  CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges.CoRRabs/2410.15393 (2024)
• 
  [i54]
  Haitao Li,Qian Dong,Junjie Chen,Huixue Su,Yujia Zhou,Qingyao Ai,Ziyi Ye,Yiqun Liu:
  LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.CoRRabs/2412.05579 (2024)
• 
  [i53]
  Haitao Li,Junjie Chen,Jingli Yang,Qingyao Ai,Wei Jia,Youfeng Liu,Kai Lin,Yueyue Wu,Guozhi Yuan,Yiran Hu,Wuyue Wang,Yiqun Liu,Minlie Huang:
  LegalAgentBench: Evaluating LLM Agents in Legal Domain.CoRRabs/2412.17259 (2024)
• 
  [i52]
  Changyue Wang,Weihang Su,Qingyao Ai,Yiqun Liu:
  Knowledge Editing through Chain-of-Thought.CoRRabs/2412.17727 (2024)
• 
  [i51]
  Haitian Chen,Qingyao Ai,Xiao Wang,Yiqun Liu,Fen Lin,Qin Liu:
  Unsupervised dense retrieval with conterfactual contrastive learning.CoRRabs/2412.20756 (2024)
• 2023
• 
  [j51]
  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 Open4:80-90 (2023)
• 
  [j50]
  Yangkun Li,Weizhi Ma,Chong Chen,Min Zhang,Yiqun Liu,Shaoping Ma,Yuekui Yang:
  A Survey on Dropout Methods and Experimental Verification in Recommendation.IEEE Trans. Knowl. Data Eng.35(7):6595-6615 (2023)
• 
  [j49]
  Junqi Zhang,Yiqun Liu,Jiaxin Mao,Weizhi Ma,Jiazheng Xu,Shaoping Ma,Qi Tian:
  User Behavior Simulation for Search Result Re-ranking.ACM Trans. Inf. Syst.41(1):5:1-5:35 (2023)
• 
  [j48]
  Chenyang Wang,Weizhi Ma,Chong Chen,Min Zhang,Yiqun Liu,Shaoping Ma:
  Sequential Recommendation with Multiple Contrast Signals.ACM Trans. Inf. Syst.41(1):11:1-11:27 (2023)
• 
  [j47]
  Chong Chen,Weizhi Ma,Min Zhang,Chenyang Wang,Yiqun Liu,Shaoping Ma:
  Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation.ACM Trans. Inf. Syst.41(1):12:1-12:25 (2023)
• 
  [j46]
  Jie Zou,Mohammad Aliannejadi,Evangelos Kanoulas,Maria Soledad Pera,Yiqun Liu:
  Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification.ACM Trans. Inf. Syst.41(1):16:1-16:25 (2023)
• 
  [j45]
  Hongyu Lu,Weizhi Ma,Yifan Wang,Min Zhang,Xiang Wang,Yiqun Liu,Tat-Seng Chua,Shaoping Ma:
  User Perception of Recommendation Explanation: Are Your Explanations What Users Need?ACM Trans. Inf. Syst.41(2):48:1-48:31 (2023)
• 
  [j44]
  Yifan Wang,Weizhi Ma,Min Zhang,Yiqun Liu,Shaoping Ma:
  A Survey on the Fairness of Recommender Systems.ACM Trans. Inf. Syst.41(3):52:1-52:43 (2023)
• 
  [j43]
  Yunqiu Shao,Yueyue Wu,Yiqun Liu,Jiaxin Mao,Shaoping Ma:
  Understanding Relevance Judgments in Legal Case Retrieval.ACM Trans. Inf. Syst.41(3):76:1-76:32 (2023)
• 
  [c267]
  Qian Dong,Yiding Liu,Qingyao Ai,Haitao Li,Shuaiqiang Wang,Yiqun Liu,Dawei Yin,Shaoping Ma:
  I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.CIKM2023:441-451
• 
  [c266]
  Zhiyu He,Shaorun Zhang,Peijie Sun,Jiayu Li,Xiaohui Xie,Min Zhang,Yiqun Liu:
  Understanding User Immersion in Online Short Video Interaction.CIKM2023:731-740
• 
  [c265]
  Bulou Liu,Yiran Hu,Qingyao Ai,Yiqun Liu,Yueyue Wu,Chenliang Li,Weixing Shen:
  Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval.CIKM2023:1513-1522
• 
  [c264]
  Bulou Liu,Yiran Hu,Yueyue Wu,Yiqun Liu,Fan Zhang,Chenliang Li,Min Zhang,Shaoping Ma,Weixing Shen:
  Investigating Conversational Agent Action in Legal Case Retrieval.ECIR (1)2023:622-635
• 
  [c263]
  Yixiao Ma,Yueyue Wu,Weihang Su,Qingyao Ai,Yiqun Liu:
  CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding.EMNLP2023:7134-7143
• 
  [c262]
  Shenghao Yang,Chenyang Wang,Yankai Liu,Kangping Xu,Weizhi Ma,Yiqun Liu,Min Zhang,Haitao Zeng,Junlan Feng,Chao Deng:
  Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation.ICDM2023:728-737
• 
  [c261]
  Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Jiafeng Guo,Min Zhang,Shaoping Ma:
  Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract).IJCAI2023:6504-6508
• 
  [c260]
  Chenyang Wang,Yankai Liu,Yuanqing Yu,Weizhi Ma,Min Zhang,Yiqun Liu,Haitao Zeng,Junlan Feng,Chao Deng:
  Two-sided Calibration for Quality-aware Responsible Recommendation.RecSys2023:223-233
• 
  [c259]
  Haitao Li,Qingyao Ai,Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Zheng Liu,Zhao Cao:
  Constructing Tree-based Index for Efficient and Effective Dense Retrieval.SIGIR2023:131-140
• 
  [c258]
  Haitao Li,Qingyao Ai,Jia Chen,Qian Dong,Yueyue Wu,Yiqun Liu,Chong Chen,Qi Tian:
  SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval.SIGIR2023:1035-1044
• 
  [c257]
  Jiangui Chen,Ruqing Zhang,Jiafeng Guo,Maarten de Rijke,Yiqun Liu,Yixing Fan,Xueqi Cheng:
  A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning.SIGIR2023:1448-1457
• 
  [c256]
  Haitian Chen,Qingyao Ai,Zhijing Wu,Zhihong Wang,Yiqun Liu,Min Zhang,Shaoping Ma,Juan Hu,Naiqiang Tan,Hua Chai:
  Behavior Modeling for Point of Interest Search.SIGIR2023:1843-1847
• 
  [c255]
  Xiaohui Xie,Qian Dong,Bingning Wang,Feiyang Lv,Ting Yao,Weinan Gan,Zhijing Wu,Xiangsheng Li,Haitao Li,Yiqun Liu,Jin Ma:
  T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking.SIGIR2023:2681-2690
• 
  [c254]
  Zhumin Chu,Tetsuya Sakai,Qingyao Ai,Yiqun Liu:
  Chuweb21D: A Deduped English Document Collection for Web Search Tasks.SIGIR-AP2023:63-72
• 
  [c253]
  Ruizhe Zhang,Qingyao Ai,Yueyue Wu,Yixiao Ma,Yiqun Liu:
  Result Diversification for Legal case Retrieval.SIGIR-AP2023:158-168
• 
  [c252]
  Beining Wang,Ruizhe Zhang,Yueyue Wu,Qingyao Ai,Min Zhang,Yiqun Liu:
  Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process.SIGIR-AP2023:169-175
• 
  [i50]
  Ruizhe Zhang,Qingyao Ai,Yueyue Wu,Yixiao Ma,Yiqun Liu:
  Diverse legal case search.CoRRabs/2301.12504 (2023)
• 
  [i49]
  Haitao Li,Jia Chen,Weihang Su,Qingyao Ai,Yiqun Liu:
  Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank.CoRRabs/2303.04710 (2023)
• 
  [i48]
  Xiaohui Xie,Qian Dong,Bingning Wang,Feiyang Lv,Ting Yao,Weinan Gan,Zhijing Wu,Xiangsheng Li,Haitao Li,Yiqun Liu,Jin Ma:
  T2Ranking: A large-scale Chinese Benchmark for Passage Ranking.CoRRabs/2304.03679 (2023)
• 
  [i47]
  Haitao Li,Qingyao Ai,Jia Chen,Qian Dong,Yueyue Wu,Yiqun Liu,Chong Chen,Qi Tian:
  SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval.CoRRabs/2304.11370 (2023)
• 
  [i46]
  Haitao Li,Qingyao Ai,Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Zheng Liu,Zhao Cao:
  Constructing Tree-based Index for Efficient and Effective Dense Retrieval.CoRRabs/2304.11943 (2023)
• 
  [i45]
  Jia Chen,Haitao Li,Weihang Su,Qingyao Ai,Yiqun Liu:
  THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank.CoRRabs/2304.12650 (2023)
• 
  [i44]
  Jiangui Chen,Ruqing Zhang,Jiafeng Guo,Maarten de Rijke,Yiqun Liu,Yixing Fan,Xueqi Cheng:
  A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning.CoRRabs/2304.14856 (2023)
• 
  [i43]
  Yixiao Ma,Yueyue Wu,Weihang Su,Qingyao Ai,Yiqun Liu:
  CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding.CoRRabs/2305.05393 (2023)
• 
  [i42]
  Haitao Li,Weihang Su,Changyue Wang,Yueyue Wu,Qingyao Ai,Yiqun Liu:
  THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case Retrieval.CoRRabs/2305.06812 (2023)
• 
  [i41]
  Haitao Li,Changyue Wang,Weihang Su,Yueyue Wu,Qingyao Ai,Yiqun Liu:
  THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment.CoRRabs/2305.06817 (2023)
• 
  [i40]
  Qian Dong,Yiding Liu,Qingyao Ai,Haitao Li,Shuaiqiang Wang,Yiqun Liu,Dawei Yin,Shaoping Ma:
  I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.CoRRabs/2306.02371 (2023)
• 
  [i39]
  Weihang Su,Xiangsheng Li,Yiqun Liu,Min Zhang,Shaoping Ma:
  THUIR2 at NTCIR-16 Session Search (SS) Task.CoRRabs/2307.00250 (2023)
• 
  [i38]
  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.CoRRabs/2307.09751 (2023)
• 
  [i37]
  Yunqiu Shao,Haitao Li,Yueyue Wu,Yiqun Liu,Qingyao Ai,Jiaxin Mao,Yixiao Ma,Shaoping Ma:
  An Intent Taxonomy of Legal Case Retrieval.CoRRabs/2307.13298 (2023)
• 
  [i36]
  Kaiyuan Zhang,Ziyi Ye,Qingyao Ai,Xiaohui Xie,Yiqun Liu:
  GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network.CoRRabs/2309.15515 (2023)
• 
  [i35]
  Qian Dong,Yiding Liu,Qingyao Ai,Zhijing Wu,Haitao Li,Yiqun Liu,Shuaiqiang Wang,Dawei Yin,Shaoping Ma:
  Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback.CoRRabs/2309.17078 (2023)
• 
  [i34]
  Beining Wang,Ruizhe Zhang,Yueyue Wu,Qingyao Ai,Min Zhang,Yiqun Liu:
  Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process.CoRRabs/2310.04735 (2023)
• 
  [i33]
  Haitao Li,Yunqiu Shao,Yueyue Wu,Qingyao Ai,Yixiao Ma,Yiqun Liu:
  LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset.CoRRabs/2310.17609 (2023)
• 
  [i32]
  Weihang Su,Qingyao Ai,Yueyue Wu,Yixiao Ma,Haitao Li,Yiqun Liu:
  Caseformer: Pre-training for Legal Case Retrieval.CoRRabs/2311.00333 (2023)
• 
  [i31]
  Ziyi Ye,Qingyao Ai,Yiqun Liu,Min Zhang,Christina Lioma,Tuukka Ruotsalo:
  Language Generation from Human Brain Activities.CoRRabs/2311.09889 (2023)
• 
  [i30]
  Shenghao Yang,Chenyang Wang,Yankai Liu,Kangping Xu,Weizhi Ma,Yiqun Liu,Min Zhang,Haitao Zeng,Junlan Feng,Chao Deng:
  Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation.CoRRabs/2311.10501 (2023)
• 
  [i29]
  Ziyi Ye,Xiaohui Xie,Qingyao Ai,Yiqun Liu,Zhihong Wang,Weihang Su,Min Zhang:
  Relevance Feedback with Brain Signals.CoRRabs/2312.05669 (2023)
• 
  [i28]
  Weihang Su,Qingyao Ai,Xiangsheng Li,Jia Chen,Yiqun Liu,Xiaolong Wu,Shengluan Hou:
  Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-hoc Retrieval.CoRRabs/2312.10661 (2023)
• 2022
• 
  [j42]
  Yangkun Li,Mohamed-Laid Hedia,Weizhi Ma,Hongyu Lu,Min Zhang,Yiqun Liu,Shaoping Ma:
  Contextualized Fairness for Recommender Systems in Premium Scenarios.Big Data Res.27:100300 (2022)
• 
  [j41]
  Xiangsheng Li,Yiqun Liu,Jiaxin Mao:
  Understanding the role of human-inspired heuristics for retrieval models.Frontiers Comput. Sci.16(1):161305 (2022)
• 
  [j40]
  Jiayu Li,Zhiyu He,Yumeng Cui,Chenyang Wang,Chong Chen,Chun Yu,Min Zhang,Yiqun Liu,Shaoping Ma:
  Towards Ubiquitous Personalized Music Recommendation with Smart Bracelets.Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.6(3):125:1-125:34 (2022)
• 
  [j39]
  Bulou Liu,Yueyue Wu,Fan Zhang,Yiqun Liu,Zhihong Wang,Chenliang Li,Min Zhang,Shaoping Ma:
  Query Generation and Buffer Mechanism: Towards a better conversational agent for legal case retrieval.Inf. Process. Manag.59(5):103051 (2022)
• 
  [j38]
  Zhijing Wu,Yiqun Liu,Jiaxin Mao,Min Zhang,Shaoping Ma:
  Leveraging Document-Level and Query-Level Passage Cumulative Gain for Document Ranking.J. Comput. Sci. Technol.37(4):814-838 (2022)
• 
  [j37]
  Xuesong Chen,Jiaxin Mao,Yiqun Liu,Min Zhang,Shaoping Ma:
  Investigating human reading behavior during sentiment judgment.Int. J. Mach. Learn. Cybern.13(8):2283-2296 (2022)
• 
  [j36]
  Takehiro Yamamoto,Zhicheng Dou,Noriko Kando,Charles L. A. Clarke,Makoto P. Kato,Yiqun Liu:
  Report on the 16th Round of NII Testbeds and Community for Information Access Research (NTCIR-16).SIGIR Forum56(2):7:1-7:8 (2022)
• 
  [j35]
  Jun Yang,Weizhi Ma,Min Zhang,Xin Zhou,Yiqun Liu,Shaoping Ma:
  LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation.ACM Trans. Inf. Syst.40(2):33:1-33:29 (2022)
• 
  [c251]
  Shenghao Yang,Yiqun Liu,Xiaohui Xie,Min Zhang,Shaoping Ma:
  Enhance Performance of Ad-hoc Search via Prompt Learning.CCIR2022:28-39
• 
  [c250]
  Jiayu Li,Hantian Zhang,Zhiyu He,Rongwu Xu,Pingfei Wu,Min Zhang,Yiqun Liu,Shaoping Ma:
  LifeRec: A Mobile App for Lifelog Recording and Ubiquitous Recommendation.CHIIR2022:342-346
• 
  [c249]
  Jiangui Chen,Ruqing Zhang,Jiafeng Guo,Yiqun Liu,Yixing Fan,Xueqi Cheng:
  CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks.CIKM2022:191-200
• 
  [c248]
  Chenyang Wang,Zhefan Wang,Yankai Liu,Yang Ge,Weizhi Ma,Min Zhang,Yiqun Liu,Junlan Feng,Chao Deng,Shaoping Ma:
  Target Interest Distillation for Multi-Interest Recommendation.CIKM2022:2007-2016
• 
  [c247]
  Jingtao Zhan,Xiaohui Xie,Jiaxin Mao,Yiqun Liu,Jiafeng Guo,Min Zhang,Shaoping Ma:
  Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models.CIKM2022:2486-2496
• 
  [c246]
  Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Jiafeng Guo,Min Zhang,Shaoping Ma:
  Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract).IJCAI2022:5374-5378
• 
  [c245]
  Chenyang Wang,Yuanqing Yu,Weizhi Ma,Min Zhang,Chong Chen,Yiqun Liu,Shaoping Ma:
  Towards Representation Alignment and Uniformity in Collaborative Filtering.KDD2022:1816-1825
• 
  [c244]
  Jiayin Wang,Weizhi Ma,Jiayu Li,Hongyu Lu,Min Zhang,Biao Li,Yiqun Liu,Peng Jiang,Shaoping Ma:
  Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution.KDD2022:1868-1877
• 
  [c243]
  Ziyi Ye,Xiaohui Xie,Yiqun Liu,Zhihong Wang,Xuesong Chen,Min Zhang,Shaoping Ma:
  Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System.ACM Multimedia2022:90-100
• 
  [c242]
  Yan Fang,Jingtao Zhan,Yiqun Liu,Jiaxin Mao,Min Zhang,Shaoping Ma:
  Joint Optimization of Multi-vector Representation with Product Quantization.NLPCC (1)2022:631-642
• 
  [c241]
  Yixiao Ma,Qingyao Ai,Yueyue Wu,Yunqiu Shao,Yiqun Liu,Min Zhang,Shaoping Ma:
  Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search.SIGIR2022:438-448
• 
  [c240]
  Ziyi Ye,Xiaohui Xie,Yiqun Liu,Zhihong Wang,Xuancheng Li,Jiaji Li,Xuesong Chen,Min Zhang,Shaoping Ma:
  Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals.SIGIR2022:633-645
• 
  [c239]
  Jia Chen,Yiqun Liu,Yan Fang,Jiaxin Mao,Hui Fang,Shenghao Yang,Xiaohui Xie,Min Zhang,Shaoping Ma:
  Axiomatically Regularized Pre-training for Ad hoc Search.SIGIR2022:1524-1534
• 
  [c238]
  Xiangsheng Li,Jiaxin Mao,Weizhi Ma,Zhijing Wu,Yiqun Liu,Min Zhang,Shaoping Ma,Zhaowei Wang,Xiuqiang He:
  A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation.WSDM2022:553-561
• 
  [c237]
  Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Jiafeng Guo,Min Zhang,Shaoping Ma:
  Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval.WSDM2022:1328-1336
• 
  [c236]
  Xuesong Chen,Ziyi Ye,Xiaohui Xie,Yiqun Liu,Xiaorong Gao,Weihang Su,Shuqi Zhu,Yike Sun,Min Zhang,Shaoping Ma:
  Web Search via an Efficient and Effective Brain-Machine Interface.WSDM2022:1569-1572
• 
  [c235]
  Junqi Zhang,Yiqun Liu,Jiaxin Mao,Xiaohui Xie,Min Zhang,Shaoping Ma,Qi Tian:
  Global or Local: Constructing Personalized Click Models for Web Search.WWW2022:213-223
• 
  [c234]
  Ziyi Ye,Xiaohui Xie,Yiqun Liu,Zhihong Wang,Xuesong Chen,Min Zhang,Shaoping Ma:
  Towards a Better Understanding of Human Reading Comprehension with Brain Signals.WWW2022:380-391
• 
  [i27]
  Yangkun Li,Weizhi Ma,Chong Chen,Min Zhang,Yiqun Liu,Shaoping Ma,Yuekui Yang:
  A Survey on Dropout Methods and Experimental Verification in Recommendation.CoRRabs/2204.02027 (2022)
• 
  [i26]
  Zhumin Chu,Zhihong Wang,Yiqun Liu,Yingye Huang,Min Zhang,Shaoping Ma:
  ConvSearch: A Open-Domain Conversational Search Behavior Dataset.CoRRabs/2204.02659 (2022)
• 
  [i25]
  Jingtao Zhan,Xiaohui Xie,Jiaxin Mao,Yiqun Liu,Min Zhang,Shaoping Ma:
  Evaluating Extrapolation Performance of Dense Retrieval.CoRRabs/2204.11447 (2022)
• 
  [i24]
  Yifan Wang,Weizhi Ma,Min Zhang,Yiqun Liu,Shaoping Ma:
  A Survey on the Fairness of Recommender Systems.CoRRabs/2206.03761 (2022)
• 
  [i23]
  Chenyang Wang,Yuanqing Yu,Weizhi Ma,Min Zhang,Chong Chen,Yiqun Liu,Shaoping Ma:
  Towards Representation Alignment and Uniformity in Collaborative Filtering.CoRRabs/2206.12811 (2022)
• 
  [i22]
  Jingtao Zhan,Qingyao Ai,Yiqun Liu,Jiaxin Mao,Xiaohui Xie,Min Zhang,Shaoping Ma:
  Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval.CoRRabs/2208.05753 (2022)
• 
  [i21]
  Jiangui Chen,Ruqing Zhang,Jiafeng Guo,Yiqun Liu,Yixing Fan,Xueqi Cheng:
  CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks.CoRRabs/2208.07652 (2022)
• 
  [i20]
  Ziyi Ye,Xiaohui Xie,Yiqun Liu,Zhihong Wang,Xuesong Chen,Min Zhang,Shaoping Ma:
  Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System.CoRRabs/2208.08097 (2022)
• 
  [i19]
  Tetsuya Sakai,Sijie Tao,Maria Maistro,Zhumin Chu,Yujing Li,Nuo Chen,Nicola Ferro,Junjie Wang,Ian Soboroff,Yiqun Liu:
  Corrected Evaluation Results of the NTCIR WWW-2, WWW-3, and WWW-4 English Subtasks.CoRRabs/2210.10266 (2022)
• 2021
• 
  [j34]
  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)
• 
  [j33]
  Jiayu Li,Weizhi Ma,Min Zhang,Pengyu Wang,Yiqun Liu,Shaoping Ma:
  Know Yourself: Physical and Psychological Self-Awareness With Lifelog.Frontiers Digit. Health3:676824 (2021)
• 
  [j32]
  Makoto P. Kato,Yiqun Liu,Noriko Kando,Charles L. A. Clarke:
  Report on the 15th round of NII testbeds and community for information access research (NTCIR-15).SIGIR Forum55(2):21:1-21:6 (2021)
• 
  [j31]
  Chenyang Wang,Weizhi Ma,Min Zhang,Chong Chen,Yiqun Liu,Shaoping Ma:
  Toward Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation.ACM Trans. Inf. Syst.39(2):16:1-16:33 (2021)
• 
  [j30]
  Jia Chen,Jiaxin Mao,Yiqun Liu,Ziyi Ye,Weizhi Ma,Chao Wang,Min Zhang,Shaoping Ma:
  A Hybrid Framework for Session Context Modeling.ACM Trans. Inf. Syst.39(3):30:1-30:35 (2021)
• 
  [c233]
  Chong Chen,Weizhi Ma,Min Zhang,Zhaowei Wang,Xiuqiang He,Chenyang Wang,Yiqun Liu,Shaoping Ma:
  Graph Heterogeneous Multi-Relational Recommendation.AAAI2021:3958-3966
• 
  [c232]
  Yingwai Shiu,Weizhi Ma,Min Zhang,Yiqun Liu,Shaoping Ma:
  Modelling Dynamic Item Complementarity with Graph Neural Network for Recommendation.CCIR2021:45-56
• 
  [c231]
  Jia Chen,Yiqun Liu,Jiaxin Mao,Fan Zhang,Tetsuya Sakai,Weizhi Ma,Min Zhang,Shaoping Ma:
  Incorporating Query Reformulating Behavior into Web Search Evaluation.CIKM2021:171-180
• 
  [c230]
  Zhumin Chu,Jiaxin Mao,Fan Zhang,Yiqun Liu,Tetsuya Sakai,Min Zhang,Shaoping Ma:
  Evaluating Relevance Judgments with Pairwise Discriminative Power.CIKM2021:261-270
• 
  [c229]
  Shaoyun Shi,Weizhi Ma,Zhen Wang,Min Zhang,Kun Fang,Jingfang Xu,Yiqun Liu,Shaoping Ma:
  WG4Rec: Modeling Textual Content with Word Graph for News Recommendation.CIKM2021:1651-1660
• 
  [c228]
  Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Jiafeng Guo,Min Zhang,Shaoping Ma:
  Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance.CIKM2021:2487-2496
• 
  [c227]
  Jiayu Li,Hongyu Lu,Chenyang Wang,Weizhi Ma,Min Zhang,Xiangyu Zhao,Wei Qi,Yiqun Liu,Shaoping Ma:
  A Difficulty-Aware Framework for Churn Prediction and Intervention in Games.KDD2021:943-952
• 
  [c226]
  Bin Hao,Min Zhang,Cheng Guo,Weizhi Ma,Yiqun Liu,Shaoping Ma:
  Diversify or Not: Dynamic Diversification for Personalized Recommendation.PAKDD (2)2021:461-472
• 
  [c225]
  Yunqiu Shao,Yueyue Wu,Yiqun Liu,Jiaxin Mao,Min Zhang,Shaoping Ma:
  Investigating User Behavior in Legal Case Retrieval.SIGIR2021:962-972
• 
  [c224]
  Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Jiafeng Guo,Min Zhang,Shaoping Ma:
  Optimizing Dense Retrieval Model Training with Hard Negatives.SIGIR2021:1503-1512
• 
  [c223]
  Hongyu Lu,Weizhi Ma,Min Zhang,Maarten de Rijke,Yiqun Liu,Shaoping Ma:
  Standing in Your Shoes: External Assessments for Personalized Recommender Systems.SIGIR2021:1523-1533
• 
  [c222]
  Bulou Liu,Yueyue Wu,Yiqun Liu,Fan Zhang,Yunqiu Shao,Chenliang Li,Min Zhang,Shaoping Ma:
  Conversational vs Traditional: Comparing Search Behavior and Outcome in Legal Case Retrieval.SIGIR2021:1622-1626
• 
  [c221]
  Xiangsheng Li,Maarten de Rijke,Yiqun Liu,Jiaxin Mao,Weizhi Ma,Min Zhang,Shaoping Ma:
  Investigating Session Search Behavior with Knowledge Graphs.SIGIR2021:1708-1712
• 
  [c220]
  Yixiao Ma,Yunqiu Shao,Yueyue Wu,Yiqun Liu,Ruizhe Zhang,Min Zhang,Shaoping Ma:
  LeCaRD: A Legal Case Retrieval Dataset for Chinese Law System.SIGIR2021:2342-2348
• 
  [c219]
  Hanyu Li,Hongyu Lu,Songhao Huang,Weizhi Ma,Min Zhang,Yiqun Liu,Shaoping Ma:
  Privacy-Aware Remote Information Retrieval User Experiments Logging Tool.SIGIR2021:2615-2619
• 
  [c218]
  Chenyang Wang,Weizhi Ma,Min Zhang,Chuancheng Lv,Fengyuan Wan,Huijie Lin,Taoran Tang,Yiqun Liu,Shaoping Ma:
  Temporal Cross-Effects in Knowledge Tracing.WSDM2021:517-525
• 
  [c217]
  Ruizhe Zhang,Xiaohui Xie,Jiaxin Mao,Yiqun Liu,Min Zhang,Shaoping Ma:
  Constructing a Comparison-based Click Model for Web Search.WWW2021:270-283
• 
  [c216]
  Jia Chen,Jiaxin Mao,Yiqun Liu,Fan Zhang,Min Zhang,Shaoping Ma:
  Towards a Better Understanding of Query Reformulation Behavior in Web Search.WWW2021:743-755
• 
  [c215]
  Xiangsheng Li,Jiaxin Mao,Weizhi Ma,Yiqun Liu,Min Zhang,Shaoping Ma,Zhaowei Wang,Xiuqiang He:
  Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation.WWW2021:756-767
• 
  [i18]
  Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Jiafeng Guo,Min Zhang,Shaoping Ma:
  Optimizing Dense Retrieval Model Training with Hard Negatives.CoRRabs/2104.08051 (2021)
• 
  [i17]
  Bin Hao,Min Zhang,Weizhi Ma,Shaoyun Shi,Xinxing Yu,Houzhi Shan,Yiqun Liu,Shaoping Ma:
  A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing.CoRRabs/2106.06467 (2021)
• 
  [i16]
  Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Jiafeng Guo,Min Zhang,Shaoping Ma:
  Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance.CoRRabs/2108.00644 (2021)
• 
  [i15]
  Ziyi Ye,Xiaohui Xie,Yiqun Liu,Zhihong Wang,Xuesong Chen,Min Zhang,Shaoping Ma:
  Understanding Human Reading Comprehension with Brain Signals.CoRRabs/2108.01360 (2021)
• 
  [i14]
  Ziyi Ye,Xiaohui Xie,Yiqun Liu,Zhihong Wang,Xuancheng Li,Jiaji Li,Xuesong Chen,Min Zhang,Shaoping Ma:
  Why Don't You Click: Neural Correlates of Non-Click Behaviors in Web Search.CoRRabs/2109.10560 (2021)
• 
  [i13]
  Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Jiafeng Guo,Min Zhang,Shaoping Ma:
  Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval.CoRRabs/2110.05789 (2021)
• 
  [i12]
  Xuesong Chen,Ziyi Ye,Xiaohui Xie,Yiqun Liu,Weihang Su,Shuqi Zhu,Min Zhang,Shaoping Ma:
  Web Search via an Efficient and Effective Brain-Machine Interface.CoRRabs/2110.07225 (2021)
• 
  [i11]
  Yixing Fan,Xiaohui Xie,Yinqiong Cai,Jia Chen,Xinyu Ma,Xiangsheng Li,Ruqing Zhang,Jiafeng Guo,Yiqun Liu:
  Pre-training Methods in Information Retrieval.CoRRabs/2111.13853 (2021)
• 
  [i10]
  Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Jiafeng Guo,Min Zhang,Shaoping Ma:
  Interpreting Dense Retrieval as Mixture of Topics.CoRRabs/2111.13957 (2021)
• 2020
• 
  [j29]
  Fan Zhang,Yiqun Liu,Jiaxin Mao,Min Zhang,Shaoping Ma:
  User behavior modeling for Web search evaluation.AI Open1:40-56 (2020)
• 
  [j28]
  Yiqun Liu,Jiaxin Mao,Xiaohui Xie,Min Zhang,Shaoping Ma:
  Challenges in designing a brain-machine search interface.SIGIR Forum54(2):3:1-3:13 (2020)
• 
  [j27]
  Chong Chen,Min Zhang,Yongfeng Zhang,Yiqun Liu,Shaoping Ma:
  Efficient Neural Matrix Factorization without Sampling for Recommendation.ACM Trans. Inf. Syst.38(2):14:1-14:28 (2020)
• 
  [c214]
  Chong Chen,Min Zhang,Yongfeng Zhang,Weizhi Ma,Yiqun Liu,Shaoping Ma:
  Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation.AAAI2020:19-26
• 
  [c213]
  Ziyi Ye,Jiaxin Mao,Yiqun Liu,Min Zhang,Shaoping Ma:
  Investigating COVID-19-Related query logs of Chinese search engine users.ASIST2020
• 
  [c212]
  Jia Chen,Jiaxin Mao,Yiqun Liu,Min Zhang,Shaoping Ma:
  Improving Search Snippets in Context-Aware Web Search Scenarios.CCIR2020:3-16
• 
  [c211]
  Yukun Zheng,Jiaxin Mao,Yiqun Liu,Xiaohui Xie,Min Zhang,Shaoping Ma:
  Investigating Fine-Grained Usefulness Perception Process in Mobile Search.CCIR2020:17-28
• 
  [c210]
  Xiangsheng Li,Maarten de Rijke,Yiqun Liu,Jiaxin Mao,Weizhi Ma,Min Zhang,Shaoping Ma:
  Learning Better Representations for Neural Information Retrieval with Graph Information.CIKM2020:795-804
• 
  [c209]
  Jie Zou,Evangelos Kanoulas,Yiqun Liu:
  An Empirical Study on Clarifying Question-Based Systems.CIKM2020:2361-2364
• 
  [c208]
  Yuzhi Wang,Haibin Huang,Qin Xu,Jiaming Liu,Yiqun Liu,Jue Wang:
  Practical Deep Raw Image Denoising on Mobile Devices.ECCV (6)2020:1-16
• 
  [c207]
  Yunqiu Shao,Jiaxin Mao,Yiqun Liu,Weizhi Ma,Ken Satoh,Min Zhang,Shaoping Ma:
  BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval.IJCAI2020:3501-3507
• 
  [c206]
  Jiayu Li,Min Zhang,Weizhi Ma,Yiqun Liu,Shaoping Ma:
  A Multi-level Interactive Lifelog Search Engine with User Feedback.LSC@ICMR2020:29-35
• 
  [c205]
  Bin Hao,Min Zhang,Weizhi Ma,Shaoyun Shi,Xinxing Yu,Houzhi Shan,Yiqun Liu,Shaoping Ma:
  Negative Feedback Aware Hybrid Sequential Neural Recommendation Model.NLPCC (2)2020:279-291
• 
  [c204]
  Zhen Wang,Weizhi Ma,Min Zhang,Weipeng Chen,Jingfang Xu,Yiqun Liu,Shaoping Ma:
  Incorporating Knowledge and Content Information to Boost News Recommendation.NLPCC (1)2020:443-456
• 
  [c203]
  Chenyang Wang,Min Zhang,Weizhi Ma,Yiqun Liu,Shaoping Ma:
  Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation.SIGIR2020:109-118
• 
  [c202]
  Chong Chen,Min Zhang,Weizhi Ma,Yiqun Liu,Shaoping Ma:
  Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation.SIGIR2020:189-198
• 
  [c201]
  Shaoyun Shi,Weizhi Ma,Min Zhang,Yongfeng Zhang,Xinxing Yu,Houzhi Shan,Yiqun Liu,Shaoping Ma:
  Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation.SIGIR2020:319-328
• 
  [c200]
  Xiaohui Xie,Jiaxin Mao,Yiqun Liu,Maarten de Rijke,Haitian Chen,Min Zhang,Shaoping Ma:
  Preference-based Evaluation Metrics for Web Image Search.SIGIR2020:369-378
• 
  [c199]
  Fan Zhang,Jiaxin Mao,Yiqun Liu,Xiaohui Xie,Weizhi Ma,Min Zhang,Shaoping Ma:
  Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics.SIGIR2020:379-388
• 
  [c198]
  Fan Zhang,Jiaxin Mao,Yiqun Liu,Weizhi Ma,Min Zhang,Shaoping Ma:
  Cascade or Recency: Constructing Better Evaluation Metrics for Session Search.SIGIR2020:389-398
• 
  [c197]
  Zhijing Wu,Jiaxin Mao,Yiqun Liu,Min Zhang,Shaoping Ma:
  Investigating Reading Behavior in Fine-grained Relevance Judgment.SIGIR2020:1889-1892
• 
  [c196]
  Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Min Zhang,Shaoping Ma:
  An Analysis of BERT in Document Ranking.SIGIR2020:1941-1944
• 
  [c195]
  Xiaohui Xie,Jiaxin Mao,Yiqun Liu,Maarten de Rijke:
  Modeling User Behavior for Vertical Search: Images, Apps and Products.SIGIR2020:2440-2443
• 
  [c194]
  Fuli Feng,Cheng Luo,Xiangnan He,Yiqun Liu,Tat-Seng Chua:
  FinIR 2020: The First Workshop on Information Retrieval in Finance.SIGIR2020:2451-2454
• 
  [c193]
  Yuan Tian,Ke Zhou,Mounia Lalmas,Yiqun Liu,Dan Pelleg:
  Cohort Modeling Based App Category Usage Prediction.UMAP2020:248-256
• 
  [c192]
  Pranita Shrestha,Min Zhang,Yiqun Liu,Shaoping Ma:
  Curiosity-inspired Personalized Recommendation.WI/IAT2020:33-40
• 
  [c191]
  Jia Chen,Jiaxin Mao,Yiqun Liu,Min Zhang,Shaoping Ma:
  A Context-Aware Click Model for Web Search.WSDM2020:88-96
• 
  [c190]
  Yukun Zheng,Jiaxin Mao,Yiqun Liu,Mark Sanderson,Min Zhang,Shaoping Ma:
  Investigating Examination Behavior in Mobile Search.WSDM2020:771-779
• 
  [c189]
  Chong Chen,Min Zhang,Weizhi Ma,Yiqun Liu,Shaoping Ma:
  Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation.WWW2020:2400-2410
• 
  [c188]
  Zhijing Wu,Jiaxin Mao,Yiqun Liu,Jingtao Zhan,Yukun Zheng,Min Zhang,Shaoping Ma:
  Leveraging Passage-level Cumulative Gain for Document Ranking.WWW2020:2421-2431
• 
  [e6]
  Krisztian Balog,Vinay Setty,Christina Lioma,Yiqun Liu,Min Zhang,Klaus Berberich:
  ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Norway, September 14-17, 2020.ACM2020, ISBN978-1-4503-8067-6[contents]
• 
  [e5]
  Jimmy X. Huang,Yi Chang,Xueqi Cheng,Jaap Kamps,Vanessa Murdock,Ji-Rong Wen,Yiqun Liu:
  Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020.ACM2020, ISBN978-1-4503-8016-4[contents]
• 
  [i9]
  Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Min Zhang,Shaoping Ma:
  RepBERT: Contextualized Text Embeddings for First-Stage Retrieval.CoRRabs/2006.15498 (2020)
• 
  [i8]
  Jie Zou,Evangelos Kanoulas,Yiqun Liu:
  An Empirical Study of Clarifying Question-Based Systems.CoRRabs/2008.00279 (2020)
• 
  [i7]
  Yuzhi Wang,Haibin Huang,Qin Xu,Jiaming Liu,Yiqun Liu,Jue Wang:
  Practical Deep Raw Image Denoising on Mobile Devices.CoRRabs/2010.06935 (2020)
• 
  [i6]
  Jingtao Zhan,Jiaxin Mao,Yiqun Liu,Min Zhang,Shaoping Ma:
  Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently.CoRRabs/2010.10469 (2020)
• 
  [i5]
  Yunqiu Shao,Bulou Liu,Jiaxin Mao,Yiqun Liu,Min Zhang,Shaoping Ma:
  THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment.CoRRabs/2012.13102 (2020)