Estimating Credibility of User Clicks with Mouse Movement and Eye-Tracking Information. - Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (NLPCC, 2014)

THUIR at NTCIR-12 IMine Task. - Zeyang Liu; Ye Chen; Rongjie Cai; Jiaxin Mao; Chao Wang 049; Cheng Luo 001; Xin Li 016; Yiqun Liu 001; Min Zhang 006; Huan-Bo Luan; Shaoping Ma (NTCIR, 2016)

How does Domain Expertise Affect Users' Search Processes in Exploratory Searches? - Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (SAL@SIGIR, 2016)

When does Relevance Mean Usefulness and User Satisfaction in Web Search? - Jiaxin Mao; Yiqun Liu 001; Ke Zhou 003; Jian-Yun Nie; Jingtao Song; Min Zhang 006; Shaoping Ma; Jiashen Sun; Hengliang Luo (SIGIR, 2016)

Training Deep Ranking Model with Weak Relevance Labels. - Cheng Luo 001; Yukun Zheng; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (ADC, 2017)

Understanding and Predicting Usefulness Judgment in Web Search. - Jiaxin Mao; Yiqun Liu 001; Huan-Bo Luan; Min Zhang 006; Shaoping Ma; Hengliang Luo; Yuntao Zhang (SIGIR, 2017)

Enhancing click models with mouse movement information. - Zeyang Liu; Jiaxin Mao; Chao Wang 049; Qingyao Ai; Yiqun Liu 001; Jian-Yun Nie (Inf. Retr. J., 2017)

ACM SIGIR Student Liaison Program. - Mohammad Aliannejadi; Maram Hasanain; Jiaxin Mao; Jaspreet Singh; Johanne R. Trippas; Hamed Zamani; Laura Dietz (SIGIR Forum, 2017)

Improving Session Search Performance with a Multi-MDP Model. - Jia Chen 003; Yiqun Liu 001; Cheng Luo 001; Jiaxin Mao; Min Zhang 006; Shaoping Ma (AIRS, 2018)

A Two-Stage Model for User's Examination Behavior in Mobile Search. - Jiaxin Mao; Yiqun Liu 001; Noriko Kando; Zexue He; Min Zhang 006; Shaoping Ma (CHIIR, 2018)

Unbiased Learning to Rank: Theory and Practice. - Qingyao Ai; Jiaxin Mao; Yiqun Liu 001; W. Bruce Croft (CIKM, 2018)

Understanding Reading Attention Distribution during Relevance Judgement. - Xiangsheng Li; Yiqun Liu 001; Jiaxin Mao; Zexue He; Min Zhang 006; Shaoping Ma (CIKM, 2018)

Investigating Result Usefulness in Mobile Search. - Jiaxin Mao; Yiqun Liu 001; Noriko Kando; Cheng Luo 001; Min Zhang 006; Shaoping Ma (ECIR, 2018)

Towards Designing Better Session Search Evaluation Metrics. - Mengyang Liu; Yiqun Liu 001; Jiaxin Mao; Cheng Luo 001; Shaoping Ma (SIGIR, 2018)

Constructing Click Models for Mobile Search. - Jiaxin Mao; Cheng Luo 001; Min Zhang 006; Shaoping Ma (SIGIR, 2018)

Constructing an Interaction Behavior Model for Web Image Search. - Xiaohui Xie; Jiaxin Mao; Maarten de Rijke; Ruizhe Zhang 005; Min Zhang 006; Shaoping Ma (SIGIR, 2018)

"Satisfaction with Failure" or "Unsatisfied Success": Investigating the Relationship between Search Success and User Satisfaction. - Mengyang Liu; Yiqun Liu 001; Jiaxin Mao; Cheng Luo 001; Min Zhang 006; Shaoping Ma (WWW, 2018)

How Does Domain Expertise Affect Users' Search Interaction and Outcome in Exploratory Search? - Jiaxin Mao; Yiqun Liu 001; Noriko Kando; Min Zhang 006; Shaoping Ma (ACM Trans. Inf. Syst., 2018)

Investigating Query Reformulation Behavior of Search Users. - Jia Chen 003; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (CCIR, 2019)

TianGong-ST: A New Dataset with Large-scale Refined Real-world Web Search Sessions. - Jia Chen 003; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (CIKM, 2019)

Investigating the Learning Process in Job Search: A Longitudinal Study. - Jiaxin Mao; Damiano Spina; Sargol Sadeghi; Falk Scholer; Mark Sanderson (CIKM, 2019)

Improving Web Image Search with Contextual Information. - Xiaohui Xie; Jiaxin Mao; Yiqun Liu 001; Maarten de Rijke; Qingyao Ai; Yufei Huang 008; Min Zhang 006; Shaoping Ma (CIKM, 2019)

Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning. - Junqi Zhang; Jiaxin Mao; Yiqun Liu 001; Ruizhe Zhang 005; Min Zhang 006; Shaoping Ma; Jun Xu 001; Qi Tian 001 (CIKM, 2019)

Investigating the Reliability of Click Models. - Jiaxin Mao; Zhumin Chu; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (ICTIR, 2019)

Investigating Cognitive Effects in Session-level Search User Satisfaction. - Mengyang Liu; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (KDD, 2019)

Overview of the NTCIR-14 We Want Web Task. - Jiaxin Mao; Tetsuya Sakai; Cheng Luo 001; Peng Xiao; Yiqun Liu 001; Zhicheng Dou (NTCIR, 2019)

THUIR at the NTCIR-14 WWW-2 Task. - Yukun Zheng; Zhumin Chu; Xiangsheng Li; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (NTCIR, 2019)

Teach Machine How to Read: Reading Behavior Inspired Relevance Estimation. - Xiangsheng Li; Jiaxin Mao; Chao Wang 049; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (SIGIR, 2019)

Towards Context-Aware Evaluation for Image Search. - Yunqiu Shao; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (SIGIR, 2019)

Investigating Passage-level Relevance and Its Role in Document-level Relevance Judgment. - Zhijing Wu 001; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (SIGIR, 2019)

SIGIR 2019 Tutorial on Explainable Recommendation and Search. - Yongfeng Zhang; Jiaxin Mao; Qingyao Ai (SIGIR, 2019)

Human Behavior Inspired Machine Reading Comprehension. - Yukun Zheng; Jiaxin Mao; Yiqun Liu 001; Zixin Ye; Min Zhang 006; Shaoping Ma (SIGIR, 2019)

Grid-based Evaluation Metrics for Web Image Search. - Xiaohui Xie; Jiaxin Mao; Yiqun Liu 001; Maarten de Rijke; Yunqiu Shao; Zixin Ye; Min Zhang 006; Shaoping Ma (WWW, 2019)

WWW'19 Tutorial on Explainable Recommendation and Search. - Yongfeng Zhang; Jiaxin Mao; Qingyao Ai (WWW (Companion Volume), 2019)

"Revisiting information retrieval tasks with user behavior models" by Yiqun Liu and Jiaxin Mao with Martin Vesely as coordinator. - Yiqun Liu 001; Jiaxin Mao (SIGWEB Newsl., 2019)

Search Result Reranking with Visual and Structure Information Sources. - Yiqun Liu 001; Junqi Zhang; Jiaxin Mao; Min Zhang 006; Shaoping Ma; Qi Tian 001; Yanxiong Lu; Leyu Lin (ACM Trans. Inf. Syst., 2019)

Constructing Click Model for Mobile Search with Viewport Time. - Yukun Zheng; Jiaxin Mao; Yiqun Liu 001; Cheng Luo 001; Min Zhang 006; Shaoping Ma (ACM Trans. Inf. Syst., 2019)

Investigating COVID-19-Related query logs of Chinese search engine users. - Ziyi Ye; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (ASIST, 2020)

Improving Search Snippets in Context-Aware Web Search Scenarios. - Jia Chen 003; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (CCIR, 2020)

Investigating Fine-Grained Usefulness Perception Process in Mobile Search. - Yukun Zheng; Jiaxin Mao; Yiqun Liu 001; Xiaohui Xie; Min Zhang 006; Shaoping Ma (CCIR, 2020)

Learning Better Representations for Neural Information Retrieval with Graph Information. - Xiangsheng Li; Maarten de Rijke; Yiqun Liu 001; Jiaxin Mao; Weizhi Ma; Min Zhang 006; Shaoping Ma (CIKM, 2020)

Neural Logic Reasoning. - Shaoyun Shi; Hanxiong Chen; Weizhi Ma; Jiaxin Mao; Min Zhang 006; Yongfeng Zhang (CIKM, 2020)

BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval. - Yunqiu Shao; Jiaxin Mao; Yiqun Liu 001; Weizhi Ma; Ken Satoh; Min Zhang 006; Shaoping Ma (IJCAI, 2020)

THUIR at the NTCIR-15 WWW-3 Task. - Zhumin Chu; Jingtao Zhan; Xiangsheng Li; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (NTCIR, 2020)

Overview of the NTCIR-15 We Want Web with CENTRE (WWW-3) Task. - Tetsuya Sakai; Sijie Tao; Zhaohao Zeng; Yukun Zheng; Jiaxin Mao; Zhumin Chu; Yiqun Liu 001; Maria Maistro; Zhicheng Dou; Nicola Ferro 001; Ian Soboroff (NTCIR, 2020)

Investigating Reading Behavior in Fine-grained Relevance Judgment. - Zhijing Wu 001; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (SIGIR, 2020)

Modeling User Behavior for Vertical Search: Images, Apps and Products. - Xiaohui Xie; Jiaxin Mao; Yiqun Liu 001; Maarten de Rijke (SIGIR, 2020)

Preference-based Evaluation Metrics for Web Image Search. - Xiaohui Xie; Jiaxin Mao; Yiqun Liu 001; Maarten de Rijke; Haitian Chen; Min Zhang 006; Shaoping Ma (SIGIR, 2020)

An Analysis of BERT in Document Ranking. - Jingtao Zhan; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (SIGIR, 2020)

Cascade or Recency: Constructing Better Evaluation Metrics for Session Search. - Fan Zhang 053; Jiaxin Mao; Yiqun Liu 001; Weizhi Ma; Min Zhang 006; Shaoping Ma (SIGIR, 2020)

Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics. - Fan Zhang 053; Jiaxin Mao; Yiqun Liu 001; Xiaohui Xie; Weizhi Ma; Min Zhang 006; Shaoping Ma (SIGIR, 2020)

A Context-Aware Click Model for Web Search. - Jia Chen 003; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (WSDM, 2020)

Investigating Examination Behavior in Mobile Search. - Yukun Zheng; Jiaxin Mao; Yiqun Liu 001; Mark Sanderson; Min Zhang 006; Shaoping Ma (WSDM, 2020)

Leveraging Passage-level Cumulative Gain for Document Ranking. - Zhijing Wu 001; Jiaxin Mao; Yiqun Liu 001; Jingtao Zhan; Yukun Zheng; Min Zhang 006; Shaoping Ma (WWW, 2020)

User behavior modeling for Web search evaluation. - Fan Zhang 053; Yiqun Liu 001; Jiaxin Mao; Min Zhang 006; Shaoping Ma (AI Open, 2020)

RepBERT: Contextualized Text Embeddings for First-Stage Retrieval. - Jingtao Zhan; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (CoRR, 2020)

Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently. - Jingtao Zhan; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (CoRR, 2020)

THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment. - Yunqiu Shao; Bulou Liu; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (CoRR, 2020)

Challenges in designing a brain-machine search interface. - Yiqun Liu 001; Jiaxin Mao; Xiaohui Xie; Min Zhang 006; Shaoping Ma (SIGIR Forum, 2020)

Incorporating Query Reformulating Behavior into Web Search Evaluation. - Jia Chen 003; Yiqun Liu 001; Jiaxin Mao; Fan Zhang 053; Tetsuya Sakai; Weizhi Ma; Min Zhang 006; Shaoping Ma (CIKM, 2021)

Evaluating Relevance Judgments with Pairwise Discriminative Power. - Zhumin Chu; Jiaxin Mao; Fan Zhang 053; Yiqun Liu 001; Tetsuya Sakai; Min Zhang 006; Shaoping Ma (CIKM, 2021)

POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling. - Zeyang Liu; Ke Zhou 003; Jiaxin Mao; Max L. Wilson 001 (CIKM, 2021)

Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. - Jingtao Zhan; Jiaxin Mao; Yiqun Liu 001; Jiafeng Guo; Min Zhang 006; Shaoping Ma (CIKM, 2021)

Investigating Session Search Behavior with Knowledge Graphs. - Xiangsheng Li; Maarten de Rijke; Yiqun Liu 001; Jiaxin Mao; Weizhi Ma; Min Zhang 006; Shaoping Ma (SIGIR, 2021)

Investigating User Behavior in Legal Case Retrieval. - Yunqiu Shao; Yueyue Wu; Yiqun Liu 001; Jiaxin Mao; Min Zhang 006; Shaoping Ma (SIGIR, 2021)

Optimizing Dense Retrieval Model Training with Hard Negatives. - Jingtao Zhan; Jiaxin Mao; Yiqun Liu 001; Jiafeng Guo; Min Zhang 006; Shaoping Ma (SIGIR, 2021)

Constructing a Comparison-based Click Model for Web Search. - Ruizhe Zhang 005; Xiaohui Xie; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (WWW, 2021)

Towards a Better Understanding of Query Reformulation Behavior in Web Search. - Jia Chen 003; Jiaxin Mao; Yiqun Liu 001; Fan Zhang 053; Min Zhang 006; Shaoping Ma (WWW, 2021)

Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation. - Xiangsheng Li; Jiaxin Mao; Weizhi Ma; Yiqun Liu 001; Min Zhang 006; Shaoping Ma; Zhaowei Wang 002; Xiuqiang He 001 (WWW, 2021)

Interpreting Dense Retrieval as Mixture of Topics. - Jingtao Zhan; Jiaxin Mao; Yiqun Liu 001; Jiafeng Guo; Min Zhang 006; Shaoping Ma (CoRR, 2021)

Unbiased Learning to Rank: Online or Offline? - Qingyao Ai; Tao Yang 030; Huazheng Wang; Jiaxin Mao (ACM Trans. Inf. Syst., 2021)

A Hybrid Framework for Session Context Modeling. - Jia Chen 003; Jiaxin Mao; Yiqun Liu 001; Ziyi Ye; Weizhi Ma; Chao Wang 049; Min Zhang 006; Shaoping Ma (ACM Trans. Inf. Syst., 2021)

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. - Chongming Gao; Shijun Li 002; Wenqiang Lei; Jiawei Chen 007; Biao Li; Peng Jiang 002; Xiangnan He 001; Jiaxin Mao; Tat-Seng Chua (CIKM, 2022)

Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models. - Jingtao Zhan; Xiaohui Xie; Jiaxin Mao; Yiqun Liu 001; Jiafeng Guo; Min Zhang 006; Shaoping Ma (CIKM, 2022)

4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. - Roberto Corizzo; Junfeng Ge; Colin Bellinger; Xiaoqiang Zhu; Paula Branco; Kuang-chih Lee; Nathalie Japkowicz; Ruiming Tang; Tao Zhuang; Han Zhu 001; Biye Jiang; Jiaxin Mao; et al. (KDD, 2022)

Joint Optimization of Multi-vector Representation with Product Quantization. - Yan Fang; Jingtao Zhan; Yiqun Liu 001; Jiaxin Mao; Min Zhang 006; Shaoping Ma (NLPCC (1), 2022)

Overview of the NTCIR-16 Session Search (SS) Task. - Jia Chen 003; Weihao Wu; Jiaxin Mao; Beining Wang; Fan Zhang 053; Yiqun Liu 001 (NTCIR, 2022)

MM6 at the NTCIR-16 Session Search Task. - Shengjie Ma; Chuwei Zeng; Jiaxin Mao (NTCIR, 2022)

RUCIR21 at the NTCIR-16 ULTRE Task. - Zechun Niu; Yurou Zhao; Feng Wang; Jiaxin Mao (NTCIR, 2022)

Overview of the NTCIR-16 Unbiased Learning to Rank Evaluation (ULTRE) Task. - Yurou Zhao; Zechun Niu; Feng Wang; Jiaxin Mao; Qingyao Ai; Tao Yang 030; Junqi Zhang; Yiqun Liu 001 (NTCIR, 2022)

Axiomatically Regularized Pre-training for Ad hoc Search. - Jia Chen 003; Yiqun Liu 001; Yan Fang; Jiaxin Mao; Hui Fang 001; Shenghao Yang 004; Xiaohui Xie; Min Zhang 006; Shaoping Ma (SIGIR, 2022)

Webformer: Pre-training with Web Pages for Information Retrieval. - Yu Guo; Zhengyi Ma; Jiaxin Mao; Hongjin Qian; Xinyu Zhang 019; Hao Jiang 022; Zhao Cao; Zhicheng Dou (SIGIR, 2022)

Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. - Wenqiang Lei; Yao Zhang; Feifan Song 001; Hongru Liang; Jiaxin Mao; Jiancheng Lv 001; Zhenglu Yang; Tat-Seng Chua (SIGIR, 2022)

Generating Clarifying Questions with Web Search Results. - Ziliang Zhao; Zhicheng Dou; Jiaxin Mao; Ji-Rong Wen (SIGIR, 2022)

A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation. - Xiangsheng Li; Jiaxin Mao; Weizhi Ma; Zhijing Wu 001; Yiqun Liu 001; Min Zhang 006; Shaoping Ma; Zhaowei Wang 002; Xiuqiang He 001 (WSDM, 2022)

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. - Jingtao Zhan; Jiaxin Mao; Yiqun Liu 001; Jiafeng Guo; Min Zhang 006; Shaoping Ma (WSDM, 2022)

Learning Probabilistic Box Embeddings for Effective and Efficient Ranking. - Lang Mei; Jiaxin Mao; Gang Guo; Ji-Rong Wen (WWW, 2022)

Global or Local: Constructing Personalized Click Models for Web Search. - Junqi Zhang; Yiqun Liu 001; Jiaxin Mao; Xiaohui Xie; Min Zhang 006; Shaoping Ma; Qi Tian 001 (WWW, 2022)

KuaiRec: A Fully-observed Dataset for Recommender Systems. - Chongming Gao; Shijun Li 002; Wenqiang Lei; Biao Li; Peng Jiang 002; Jiawei Chen 007; Xiangnan He 001; Jiaxin Mao; Tat-Seng Chua (CoRR, 2022)

Evaluating Extrapolation Performance of Dense Retrieval. - Jingtao Zhan; Xiaohui Xie; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (CoRR, 2022)

Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval. - Jingtao Zhan; Qingyao Ai; Yiqun Liu 001; Jiaxin Mao; Xiaohui Xie; Min Zhang 006; Shaoping Ma (CoRR, 2022)

Understanding the role of human-inspired heuristics for retrieval models. - Xiangsheng Li; Yiqun Liu 001; Jiaxin Mao (Frontiers Comput. Sci., 2022)

Leveraging Document-Level and Query-Level Passage Cumulative Gain for Document Ranking. - Zhijing Wu 001; Yiqun Liu 001; Jiaxin Mao; Min Zhang 006; Shaoping Ma (J. Comput. Sci. Technol., 2022)

Investigating human reading behavior during sentiment judgment. - Xuesong Chen; Jiaxin Mao; Yiqun Liu 001; Min Zhang 006; Shaoping Ma (Int. J. Mach. Learn. Cybern., 2022)

Understanding the Multi-vector Dense Retrieval Models. - Qi Liu 071; Jiaxin Mao (CIKM, 2023)

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). - Jingtao Zhan; Jiaxin Mao; Yiqun Liu 001; Jiafeng Guo; Min Zhang 006; Shaoping Ma (IJCAI, 2023)

Overview of the NTCIR-17 Unbiased Learning to Rank Evaluation 2 (ULTRE-2) Task. - Zechun Niu; Jiaxin Mao; Qingyao Ai; Lixin Zou; Shuaiqiang Wang; Dawei Yin (NTCIR, 2023)

Constructing Tree-based Index for Efficient and Effective Dense Retrieval. - Haitao Li 006; Qingyao Ai; Jingtao Zhan; Jiaxin Mao; Yiqun Liu 001; Zheng Liu 011; Zhao Cao (SIGIR, 2023)

Session Search with Pre-trained Graph Classification Model. - Shengjie Ma; Chong Chen 001; Jiaxin Mao; Qi Tian 001; Xuhui Jiang (SIGIR, 2023)

A Passage-Level Reading Behavior Model for Mobile Search. - Zhijing Wu 001; Jiaxin Mao; Kedi Xu 003; Dandan Song; Heyan Huang (WWW, 2023)

CoAScore: Chain-of-Aspects Prompting for NLG Evaluation. - Peiyuan Gong; Jiaxin Mao (CoRR, 2023)

Understanding Relevance Judgments in Legal Case Retrieval. - Yunqiu Shao; Yueyue Wu; Yiqun Liu 001; Jiaxin Mao; Shaoping Ma (ACM Trans. Inf. Syst., 2023)

User Behavior Simulation for Search Result Re-ranking. - Junqi Zhang; Yiqun Liu 001; Jiaxin Mao; Weizhi Ma; Jiazheng Xu; Shaoping Ma; Qi Tian 001 (ACM Trans. Inf. Syst., 2023)

Prompt Refinement with Image Pivot for Text-to-Image Generation. - Jingtao Zhan; Qingyao Ai; Yiqun Liu 001; Yingwei Pan; Ting Yao; Jiaxin Mao; Shaoping Ma; Tao Mei 001 (ACL (1), 2024)

Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. - Hanqi Zhang; Chong Chen 001; Lang Mei; Qi Liu 071; Jiaxin Mao (CIKM, 2024)

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. - Yurou Zhao; Yiding Sun; Ruidong Han; Fei Jiang 009; Lu Guan; Xiang Li 067; Wei Lin 022; Weizhi Ma; Jiaxin Mao (CIKM, 2024)

Optimizing Probabilistic Box Embeddings with Distance Measures. - Lang Mei; Jiaxin Mao; Ji-Rong Wen (ICDE, 2024)

PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning. - Yiqun Chen 004; Hangyu Mao; Jiaxin Mao; Shiguang Wu 001; Tianle Zhang; Bin Zhang 052; Wei Yang; Hongxing Chang (IJCAI, 2024)

Investigating Users' Search Behavior and Outcome with ChatGPT in Learning-oriented Search Tasks. - Sijie Liu; Yuyang Hu; Zihang Tian; Zhe Jin; Shijin Ruan; Jiaxin Mao (SIGIR-AP, 2024)

Scaling Laws For Dense Retrieval. - Yan Fang; Jingtao Zhan; Qingyao Ai; Jiaxin Mao; Weihang Su; Jia Chen 003; Yiqun Liu 001 (SIGIR, 2024)

CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models. - Peiyuan Gong; Jiamian Li; Jiaxin Mao (SIGIR, 2024)

An Integrated Data Processing Framework for Pretraining Foundation Models. - Yiding Sun; Feng Wang; Yutao Zhu 001; Wayne Xin Zhao; Jiaxin Mao (SIGIR, 2024)

USimAgent: Large Language Models for Simulating Search Users. - Erhan Zhang; Xingzhu Wang; Peiyuan Gong; Yankai Lin; Jiaxin Mao (SIGIR, 2024)

Session-level Normalization and Click-through Data Enhancement for Session-based Evaluation. - Haonan Chen 005; Zhicheng Dou; Jiaxin Mao (CoRR, 2024)

Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval. - Shengjie Ma; Chong Chen 001; Qi Chu 008; Jiaxin Mao (CoRR, 2024)

Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. - Zechun Niu; Jiaxin Mao; Qingyao Ai; Ji-Rong Wen (CoRR, 2024)

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. - Yiqun Chen 004; Qi Liu 071; Yi Zhang 050; Weiwei Sun 001; Daiting Shi; Jiaxin Mao; Dawei Yin (CoRR, 2024)

YuLan: An Open-source Large Language Model. - Yutao Zhu 001; Kun Zhou 002; Kelong Mao; Wentong Chen; Yiding Sun; Zhipeng Chen 001; Qian Cao 001; Yihan Wu; Yushuo Chen; Feng Wang; Lei Zhang; Junyi Li; et al. (CoRR, 2024)

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. - Yurou Zhao; Yiding Sun; Ruidong Han; Fei Jiang 009; Lu Guan; Xiang Li 067; Wei Lin 022; Jiaxin Mao (CoRR, 2024)

BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline. - Guosheng Dong; Da Pan 003; Yiding Sun; Shusen Zhang; Zheng Liang; Xin Wu; Yanjun Shen; Fan Yang 087; Haoze Sun; Tianpeng Li; Mingan Lin; Jianhua Xu; et al. (CoRR, 2024)

Research on the Proximity Relationships of Psychosomatic Disease Knowledge Graph Modules Extracted by Large Language Models. - Zihan Zhou; Ziyi Zeng; Wenhao Jiang; Yihui Zhu; Jiaxin Mao; Yonggui Yuan; Min Xia; Shubin Zhao; Mengyu Yao; Yunqian Chen (CoRR, 2024)

An Intent Taxonomy of Legal Case Retrieval. - Yunqiu Shao; Haitao Li 006; Yueyue Wu; Yiqun Liu 001; Qingyao Ai; Jiaxin Mao; Yixiao Ma; Shaoping Ma (ACM Trans. Inf. Syst., 2024)

Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models. - Lang Mei; Jiaxin Mao; Juan Hu; Naiqiang Tan; Hua Chai; Ji-Rong Wen (ACM Trans. Inf. Syst., 2024)

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. - Qi Liu 071; Gang Guo; Jiaxin Mao; Zhicheng Dou; Ji-Rong Wen; Hao Jiang 022; Xinyu Zhang 019; Zhao Cao (ACM Trans. Inf. Syst., 2024)

Towards Effective and Efficient Continual Pre-training of Large Language Models. - Jie Chen 007; Zhipeng Chen 001; Jiapeng Wang; Kun Zhou 002; Yutao Zhu 001; Jinhao Jiang; Yingqian Min; Xin Zhao 018; Zhicheng Dou; Jiaxin Mao; Yankai Lin; Ruihua Song; et al. (ACL (1), 2025)

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation. - Shengjie Ma; Chengjin Xu; Xuhui Jiang; Muzhi Li; Huaren Qu; Cehao Yang; Jiaxin Mao; Jian Guo (ICLR, 2025)

PanguIR Technical Report for NTCIR-18 AEOLLM Task. - Lang Mei; Chong Chen 001; Jiaxin Mao (NTCIR, 2025)

MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation. - Ruoxuan Feng; Zhen Tian 001; Qiushi Peng; Jiaxin Mao; Wayne Xin Zhao; Di Hu 001; Changwang Zhang (SIGIR, 2025)

A Flexible User Study Platform for Generative Information Retrieval. - Yidong Liang; Zhijing Wu 001; Yuchen He; Fengming Liang; Kexin Liu; Jiaxin Mao (SIGIR, 2025)

Distributionally Robust Optimization for Unbiased Learning to Rank. - Zechun Niu; Lang Mei; Chong Chen 001; Jiaxin Mao (SIGIR, 2025)

Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. - Zechun Niu; Zhilin Zhang; Jiaxin Mao; Qingyao Ai; Ji-Rong Wen (SIGIR, 2025)

Exploring Human-Like Thinking in Search Simulations with Large Language Models. - Erhan Zhang; Xingzhu Wang; Peiyuan Gong; Zixuan Yang; Jiaxin Mao (SIGIR, 2025)

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. - Yiqun Chen 004; Qi Liu 071; Yi Zhang 050; Weiwei Sun 001; Xinyu Ma; Wei Yang; Daiting Shi; Jiaxin Mao; Dawei Yin (WWW, 2025)

MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification. - Yiqun Chen 004; Jiaxin Mao; Yi Zhang 050; Dehong Ma; Long Xia; Jun Fan; Daiting Shi; Zhicong Cheng; Simiu Gu; Dawei Yin (WWW, 2025)

Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models. - Qi Liu 071; Bo Wang 096; Nan Wang; Jiaxin Mao (WWW, 2025)

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning. - Yiqun Chen 004; Lingyong Yan; Weiwei Sun 001; Xinyu Ma; Yi Zhang 050; Shuaiqiang Wang; Dawei Yin; Yiming Yang; Jiaxin Mao (CoRR, 2025)

Evaluating Intelligence via Trial and Error. - Jingtao Zhan; Jiahao Zhao; Jiayu Li 001; Yiqun Liu 001; Bo Zhang; Qingyao Ai; Jiaxin Mao; Hongning Wang; Min Zhang 006; Shaoping Ma (CoRR, 2025)

LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking. - Qi Liu 071; Haozhe Duan; Yiqun Chen 004; Quanfeng Lu; Weiwei Sun 001; Jiaxin Mao (CoRR, 2025)

How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective. - Qi Liu 071; Jiaxin Mao; Ji-Rong Wen (CoRR, 2025)

FinS-Pilot: A Benchmark for Online Financial System. - Feng Wang; Yiding Sun; Jiaxin Mao; Wei Xue; Danqing Xu (CoRR, 2025)

Leveraging LLMs to Evaluate Usefulness of Document. - Xingzhu Wang; Erhan Zhang; Yiqun Chen 004; Jinghan Xuan; Yucheng Hou; Yitong Xu; Ying Nie; Shuaiqiang Wang; Dawei Yin; Jiaxin Mao (CoRR, 2025)

WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training. - Changxin Tian; Jiapeng Wang; Qian Zhao; Kunlong Chen; Jia Liu; Ziqi Liu; Jiaxin Mao; Wayne Xin Zhao; Zhiqiang Zhang 012; Jun Zhou 011 (CoRR, 2025)