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2020 – today
- 2024
- [j18]Yunqiu Shao
, Haitao Li
An Intent Taxonomy of Legal Case Retrieval. ACM Trans. Inf. Syst. 42(2): 62:1-62:27 (2024) - [j17]Lang Mei
Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models. ACM Trans. Inf. Syst. 42(3): 74:1-74:27 (2024) - [j16]Qi Liu
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. ACM Trans. Inf. Syst. 42(5): 118:1-118:28 (2024) - [c84]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 - [c83]Yurou Zhao
Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. CIKM 2024: 3374-3383 - [c82]Hanqi Zhang
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. CIKM 2024: 4268-4272 - [c81]Lang Mei, Jiaxin Mao, Ji-Rong Wen:
Optimizing Probabilistic Box Embeddings with Distance Measures. ICDE 2024: 5088-5100 - [c80]Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang:
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning. IJCAI 2024: 31-39 - [c79]Yan Fang
Scaling Laws For Dense Retrieval. SIGIR 2024: 1339-1349 - [c78]Erhan Zhang
USimAgent: Large Language Models for Simulating Search Users. SIGIR 2024: 2687-2692 - [c77]Yiding Sun
An Integrated Data Processing Framework for Pretraining Foundation Models. SIGIR 2024: 2713-2718 - [c76]Peiyuan Gong
CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models. SIGIR 2024: 2729-2733 - [c75]Sijie Liu, Yuyang Hu, Zihang Tian, Zhe Jin, Shijin Ruan, Jiaxin Mao:
Investigating Users' Search Behavior and Outcome with ChatGPT in Learning-oriented Search Tasks. SIGIR-AP 2024: 103-113 - [e2]Tetsuya Sakai, Emi Ishita, Hiroaki Ohshima, Faegheh Hasibi, Jiaxin Mao, Joemon M. Jose:
Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2024, Tokyo, Japan, December 9-12, 2024. ACM 2024, ISBN 979-8-4007-0724-7 [contents] - [i35]Haonan Chen, Zhicheng Dou, Jiaxin Mao:
Session-level Normalization and Click-through Data Enhancement for Session-based Evaluation. CoRR abs/2401.12445 (2024) - [i34]Peiyuan Gong, Jiamian Li, Jiaxin Mao:
CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models. CoRR abs/2402.06360 (2024) - [i33]Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao:
An Integrated Data Processing Framework for Pretraining Foundation Models. CoRR abs/2402.16358 (2024) - [i32]Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin, Jiaxin Mao:
USimAgent: Large Language Models for Simulating Search Users. CoRR abs/2403.09142 (2024) - [i31]Qi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinyu Zhang, Zhao Cao:
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. CoRR abs/2403.13291 (2024) - [i30]Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin:
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification. CoRR abs/2403.17421 (2024) - [i29]Shengjie Ma, Chong Chen, Qi Chu, Jiaxin Mao:
Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval. CoRR abs/2403.18405 (2024) - [i28]Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu:
Scaling Laws For Dense Retrieval. CoRR abs/2403.18684 (2024) - [i27]Zechun Niu, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen:
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. CoRR abs/2404.03707 (2024) - [i26]Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Daiting Shi, Jiaxin Mao, Dawei Yin:
TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. CoRR abs/2406.11678 (2024) - [i25]Qi Liu, Bo Wang, Nan Wang, Jiaxin Mao:
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models. CoRR abs/2406.14848 (2024) - [i24]Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen:
YuLan: An Open-source Large Language Model. CoRR abs/2406.19853 (2024) - [i23]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. CoRR abs/2407.00247 (2024) - [i22]Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Jiaxin Mao:
Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. CoRR abs/2407.13274 (2024) - [i21]Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen:
Towards Effective and Efficient Continual Pre-training of Large Language Models. CoRR abs/2407.18743 (2024) - [i20]Hanqi Zhang, Chong Chen, Lang Mei, Qi Liu, Jiaxin Mao:
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. CoRR abs/2408.08066 (2024) - [i19]Guosheng Dong, Da Pan, Yiding Sun, Shusen Zhang, Zheng Liang, Xin Wu, Yanjun Shen, Fan Yang, Haoze Sun, Tianpeng Li, Mingan Lin, Jianhua Xu, Yufan Zhang, Xiaonan Nie, Lei Su, Bingning Wang, Wentao Zhang, Jiaxin Mao, Zenan Zhou, Weipeng Chen:
BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline. CoRR abs/2408.15079 (2024) - 2023
- [j15]Junqi Zhang
User Behavior Simulation for Search Result Re-ranking. ACM Trans. Inf. Syst. 41(1): 5:1-5:35 (2023) - [j14]Yunqiu Shao
Understanding Relevance Judgments in Legal Case Retrieval. ACM Trans. Inf. Syst. 41(3): 76:1-76:32 (2023) - [c74]Qi Liu
Understanding the Multi-vector Dense Retrieval Models. CIKM 2023: 4110-4114 - [c73]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). IJCAI 2023: 6504-6508 - [c72]Haitao Li
Constructing Tree-based Index for Efficient and Effective Dense Retrieval. SIGIR 2023: 131-140 - [c71]Shengjie Ma
Session Search with Pre-trained Graph Classification Model. SIGIR 2023: 953-962 - [c70]Zhijing Wu
A Passage-Level Reading Behavior Model for Mobile Search. WWW 2023: 3236-3246 - [i18]Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu
Constructing Tree-based Index for Efficient and Effective Dense Retrieval. CoRR abs/2304.11943 (2023) - [i17]Yunqiu Shao, Haitao Li, Yueyue Wu, Yiqun Liu, Qingyao Ai, Jiaxin Mao, Yixiao Ma, Shaoping Ma:
An Intent Taxonomy of Legal Case Retrieval. CoRR abs/2307.13298 (2023) - [i16]Peiyuan Gong, Jiaxin Mao:
CoAScore: Chain-of-Aspects Prompting for NLG Evaluation. CoRR abs/2312.10355 (2023) - 2022
- [j13]Xiangsheng Li, Yiqun Liu, Jiaxin Mao:
Understanding the role of human-inspired heuristics for retrieval models. Frontiers Comput. Sci. 16(1): 161305 (2022) - [j12]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) - [j11]Xuesong Chen
Investigating human reading behavior during sentiment judgment. Int. J. Mach. Learn. Cybern. 13(8): 2283-2296 (2022) - [c69]Chongming Gao, Shijun Li
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. CIKM 2022: 540-550 - [c68]Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models. CIKM 2022: 2486-2496 - [c67]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). IJCAI 2022: 5374-5378 - [c66]Roberto Corizzo
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. KDD 2022: 4860-4861 - [c65]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 - [c64]Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. SIGIR 2022: 212-222 - [c63]Ziliang Zhao, Zhicheng Dou
Generating Clarifying Questions with Web Search Results. SIGIR 2022: 234-244 - [c62]Yu Guo, Zhengyi Ma, Jiaxin Mao, Hongjin Qian
Webformer: Pre-training with Web Pages for Information Retrieval. SIGIR 2022: 1502-1512 - [c61]Jia Chen
Axiomatically Regularized Pre-training for Ad hoc Search. SIGIR 2022: 1524-1534 - [c60]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. WSDM 2022: 553-561 - [c59]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. WSDM 2022: 1328-1336 - [c58]Junqi Zhang, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma, Qi Tian:
Global or Local: Constructing Personalized Click Models for Web Search. WWW 2022: 213-223 - [c57]Lang Mei, Jiaxin Mao, Gang Guo, Ji-Rong Wen:
Learning Probabilistic Box Embeddings for Effective and Efficient Ranking. WWW 2022: 473-482 - [i15]Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset for Recommender Systems. CoRR abs/2202.10842 (2022) - [i14]Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua:
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. CoRR abs/2204.07433 (2022) - [i13]Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Evaluating Extrapolation Performance of Dense Retrieval. CoRR abs/2204.11447 (2022) - [i12]Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma:
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval. CoRR abs/2208.05753 (2022) - 2021
- [j10]Qingyao Ai
Unbiased Learning to Rank: Online or Offline? ACM Trans. Inf. Syst. 39(2): 21:1-21:29 (2021) - [j9]Jia Chen
A Hybrid Framework for Session Context Modeling. ACM Trans. Inf. Syst. 39(3): 30:1-30:35 (2021) - [c56]Jia Chen
Incorporating Query Reformulating Behavior into Web Search Evaluation. CIKM 2021: 171-180 - [c55]Zhumin Chu, Jiaxin Mao, Fan Zhang
Evaluating Relevance Judgments with Pairwise Discriminative Power. CIKM 2021: 261-270 - [c54]Zeyang Liu, Ke Zhou, Jiaxin Mao, Max L. Wilson:
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling. CIKM 2021: 1119-1129 - [c53]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. CIKM 2021: 2487-2496 - [c52]Yunqiu Shao, Yueyue Wu, Yiqun Liu, Jiaxin Mao, Min Zhang, Shaoping Ma:
Investigating User Behavior in Legal Case Retrieval. SIGIR 2021: 962-972 - [c51]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Optimizing Dense Retrieval Model Training with Hard Negatives. SIGIR 2021: 1503-1512 - [c50]Xiangsheng Li, Maarten de Rijke
Investigating Session Search Behavior with Knowledge Graphs. SIGIR 2021: 1708-1712 - [c49]Ruizhe Zhang, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Constructing a Comparison-based Click Model for Web Search. WWW 2021: 270-283 - [c48]Jia Chen
Towards a Better Understanding of Query Reformulation Behavior in Web Search. WWW 2021: 743-755 - [c47]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. WWW 2021: 756-767 - [i11]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Optimizing Dense Retrieval Model Training with Hard Negatives. CoRR abs/2104.08051 (2021) - [i10]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. CoRR abs/2108.00644 (2021) - [i9]Zeyang Liu, Ke Zhou, Jiaxin Mao, Max L. Wilson:
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling. CoRR abs/2109.03039 (2021) - [i8]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. CoRR abs/2110.05789 (2021) - [i7]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Interpreting Dense Retrieval as Mixture of Topics. CoRR abs/2111.13957 (2021) - 2020
- [j8]Fan Zhang
User behavior modeling for Web search evaluation. AI Open 1: 40-56 (2020) - [j7]Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma:
Challenges in designing a brain-machine search interface. SIGIR Forum 54(2): 3:1-3:13 (2020) - [c46]Ziyi Ye, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Investigating COVID-19-Related query logs of Chinese search engine users. ASIST 2020 - [c45]Jia Chen
Improving Search Snippets in Context-Aware Web Search Scenarios. CCIR 2020: 3-16 - [c44]Yukun Zheng, Jiaxin Mao, Yiqun Liu, Xiaohui Xie, Min Zhang, Shaoping Ma:
Investigating Fine-Grained Usefulness Perception Process in Mobile Search. CCIR 2020: 17-28 - [c43]Xiangsheng Li, Maarten de Rijke
Learning Better Representations for Neural Information Retrieval with Graph Information. CIKM 2020: 795-804 - [c42]Shaoyun Shi, Hanxiong Chen, Weizhi Ma, Jiaxin Mao, Min Zhang, Yongfeng Zhang:
Neural Logic Reasoning. CIKM 2020: 1365-1374 - [c41]Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Ken Satoh, Min Zhang, Shaoping Ma:
BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval. IJCAI 2020: 3501-3507 - [c40]Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke
Preference-based Evaluation Metrics for Web Image Search. SIGIR 2020: 369-378 - [c39]Fan Zhang
Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics. SIGIR 2020: 379-388 - [c38]Fan Zhang
Cascade or Recency: Constructing Better Evaluation Metrics for Session Search. SIGIR 2020: 389-398 - [c37]Zhijing Wu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Investigating Reading Behavior in Fine-grained Relevance Judgment. SIGIR 2020: 1889-1892 - [c36]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
An Analysis of BERT in Document Ranking. SIGIR 2020: 1941-1944 - [c35]Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke
Modeling User Behavior for Vertical Search: Images, Apps and Products. SIGIR 2020: 2440-2443 - [c34]Jia Chen
A Context-Aware Click Model for Web Search. WSDM 2020: 88-96 - [c33]Yukun Zheng, Jiaxin Mao, Yiqun Liu, Mark Sanderson
Investigating Examination Behavior in Mobile Search. WSDM 2020: 771-779 - [c32]Zhijing Wu, Jiaxin Mao, Yiqun Liu, Jingtao Zhan, Yukun Zheng, Min Zhang, Shaoping Ma:
Leveraging Passage-level Cumulative Gain for Document Ranking. WWW 2020: 2421-2431 - [e1]Zhicheng Dou, Qiguang Miao, Wei Lu, Jiaxin Mao, Guang Jia:
Information Retrieval - 26th China Conference, CCIR 2020, Xi'an, China, August 14-16, 2020, Proceedings. Lecture Notes in Computer Science 12285, Springer 2020, ISBN 978-3-030-56724-8 [contents] - [i6]Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao:
Unbiased Learning to Rank: Online or Offline? CoRR abs/2004.13574 (2020) - [i5]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
RepBERT: Contextualized Text Embeddings for First-Stage Retrieval. CoRR abs/2006.15498 (2020) - [i4]Shaoyun Shi, Hanxiong Chen, Weizhi Ma, Jiaxin Mao, Min Zhang, Yongfeng Zhang:
Neural Logic Reasoning. CoRR abs/2008.09514 (2020) - [i3]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently. CoRR abs/2010.10469 (2020) - [i2]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. CoRR abs/2012.13102 (2020)
2010 – 2019
- 2019
- [j6]Yiqun Liu, Jiaxin Mao:
"Revisiting information retrieval tasks with user behavior models" by Yiqun Liu and Jiaxin Mao with Martin Vesely as coordinator. SIGWEB Newsl. 2019(Autumn): 3:1-3:8 (2019) - [j5]Yiqun Liu, Junqi Zhang, Jiaxin Mao, Min Zhang, Shaoping Ma, Qi Tian, Yanxiong Lu, Leyu Lin:
Search Result Reranking with Visual and Structure Information Sources. ACM Trans. Inf. Syst. 37(3): 38:1-38:38 (2019) - [j4]Yukun Zheng, Jiaxin Mao, Yiqun Liu, Cheng Luo, Min Zhang, Shaoping Ma:
Constructing Click Model for Mobile Search with Viewport Time. ACM Trans. Inf. Syst. 37(4): 43:1-43:34 (2019) - [c31]Jia Chen
Investigating Query Reformulation Behavior of Search Users. CCIR 2019: 39-51 - [c30]Junqi Zhang, Jiaxin Mao, Yiqun Liu, Ruizhe Zhang, Min Zhang, Shaoping Ma, Jun Xu
Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning. CIKM 2019: 1603-1612 - [c29]Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke
Improving Web Image Search with Contextual Information. CIKM 2019: 1683-1692 - [c28]Jiaxin Mao, Damiano Spina
Investigating the Learning Process in Job Search: A Longitudinal Study. CIKM 2019: 2461-2464 - [c27]Jia Chen
TianGong-ST: A New Dataset with Large-scale Refined Real-world Web Search Sessions. CIKM 2019: 2485-2488 - [c26]Jiaxin Mao, Zhumin Chu, Yiqun Liu, Min Zhang, Shaoping Ma:
Investigating the Reliability of Click Models. ICTIR 2019: 125-128 - [c25]Mengyang Liu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Investigating Cognitive Effects in Session-level Search User Satisfaction. KDD 2019: 923-931 - [c24]Yukun Zheng, Zhumin Chu, Xiangsheng Li, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
THUIR at the NTCIR-14 WWW-2 Task. NTCIR 2019: 165-179 - [c23]Yukun Zheng, Jiaxin Mao, Yiqun Liu, Zixin Ye, Min Zhang, Shaoping Ma:
Human Behavior Inspired Machine Reading Comprehension. SIGIR 2019: 425-434 - [c22]Zhijing Wu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Investigating Passage-level Relevance and Its Role in Document-level Relevance Judgment. SIGIR 2019: 605-614 - [c21]Xiangsheng Li, Jiaxin Mao, Chao Wang
Teach Machine How to Read: Reading Behavior Inspired Relevance Estimation. SIGIR 2019: 795-804 - [c20]Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Towards Context-Aware Evaluation for Image Search. SIGIR 2019: 1209-1212 - [c19]Yongfeng Zhang, Jiaxin Mao, Qingyao Ai
SIGIR 2019 Tutorial on Explainable Recommendation and Search. SIGIR 2019: 1417-1418 - [c18]Yongfeng Zhang, Jiaxin Mao, Qingyao Ai
WWW'19 Tutorial on Explainable Recommendation and Search. WWW (Companion Volume) 2019: 1330-1331 - [c17]Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke
Grid-based Evaluation Metrics for Web Image Search. WWW 2019: 2103-2114 - 2018
- [j3]Jiaxin Mao, Yiqun Liu, Noriko Kando
How Does Domain Expertise Affect Users' Search Interaction and Outcome in Exploratory Search? ACM Trans. Inf. Syst. 36(4): 42:1-42:30 (2018) - [c16]Jia Chen
Improving Session Search Performance with a Multi-MDP Model. AIRS 2018: 45-59 - [c15]Jiaxin Mao, Yiqun Liu, Noriko Kando
A Two-Stage Model for User's Examination Behavior in Mobile Search. CHIIR 2018: 273-276 - [c14]Xiangsheng Li, Yiqun Liu, Jiaxin Mao, Zexue He, Min Zhang, Shaoping Ma:
Understanding Reading Attention Distribution during Relevance Judgement. CIKM 2018: 733-742 - [c13]Qingyao Ai
Unbiased Learning to Rank: Theory and Practice. CIKM 2018: 2305-2306 - [c12]Jiaxin Mao, Yiqun Liu, Noriko Kando
Investigating Result Usefulness in Mobile Search. ECIR 2018: 223-236 - [c11]Qingyao Ai
Unbiased Learning to Rank: Theory and Practice. ICTIR 2018: 1-2 - [c10]Xiaohui Xie, Jiaxin Mao, Maarten de Rijke
Constructing an Interaction Behavior Model for Web Image Search. SIGIR 2018: 425-434 - [c9]Jiaxin Mao, Cheng Luo, Min Zhang, Shaoping Ma:
Constructing Click Models for Mobile Search. SIGIR 2018: 775-784 - [c8]Mengyang Liu, Yiqun Liu, Jiaxin Mao, Cheng Luo, Shaoping Ma:
Towards Designing Better Session Search Evaluation Metrics. SIGIR 2018: 1121-1124 - [c7]Mengyang Liu, Yiqun Liu, Jiaxin Mao, Cheng Luo, Min Zhang, Shaoping Ma:
"Satisfaction with Failure" or "Unsatisfied Success": Investigating the Relationship between Search Success and User Satisfaction. WWW 2018: 1533-1542 - [i1]Xiaohui Xie, Jiaxin Mao, Maarten de Rijke, Ruizhe Zhang, Min Zhang, Shaoping Ma:
Constructing an Interaction Behavior Model for Web Image Search. CoRR abs/1805.02811 (2018) - 2017
- [j2]Zeyang Liu, Jiaxin Mao, Chao Wang
Enhancing click models with mouse movement information. Inf. Retr. J. 20(1): 53-80 (2017) - [j1]Mohammad Aliannejadi, Maram Hasanain, Jiaxin Mao, Jaspreet Singh, Johanne R. Trippas
ACM SIGIR Student Liaison Program. SIGIR Forum 51(3): 42-45 (2017) - [c6]Cheng Luo, Yukun Zheng, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Training Deep Ranking Model with Weak Relevance Labels. ADC 2017: 205-216 - [c5]Jiaxin Mao, Yiqun Liu, Huan-Bo Luan, Min Zhang, Shaoping Ma, Hengliang Luo, Yuntao Zhang:
Understanding and Predicting Usefulness Judgment in Web Search. SIGIR 2017: 1169-1172 - 2016
- [c4]Zeyang Liu, Ye Chen, Rongjie Cai, Jiaxin Mao, Chao Wang
THUIR at NTCIR-12 IMine Task. NTCIR 2016 - [c3]Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
How does Domain Expertise Affect Users' Search Processes in Exploratory Searches? SAL@SIGIR 2016 - [c2]Jiaxin Mao, Yiqun Liu, Ke Zhou, Jian-Yun Nie
When does Relevance Mean Usefulness and User Satisfaction in Web Search? SIGIR 2016: 463-472 - 2014
- [c1]Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Estimating Credibility of User Clicks with Mouse Movement and Eye-Tracking Information. NLPCC 2014: 263-274
Coauthor Index
[j18] [c84] [c79] [i28] [i23] [j15] [j14] [c73] [c72] [i18] [i17] [j13] [j12] [j11] [c68] [c67] [c65] [c61] [c60] [c59] [c58] [i13] [i12] [j9] [c56] [c55] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [i11] [i10] [i8] [i7] [j8] [j7] [c46] [c45] [c44] [c43] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [i5] [i3] [i2] [j6] [j5] [j4] [c31] [c30] [c29] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c17] [j3] [c16] [c15] [c14] [c13] [c12] [c11] [c8] [c7] [j2] [c6] [c5] [c4] [c3] [c2] [c1]
[j18] [c84] [i23] [j15] [j14] [c73] [i17] [j12] [j11] [c68] [c67] [c65] [c61] [c60] [c59] [c58] [i13] [i12] [j9] [c56] [c55] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [i11] [i10] [i8] [i7] [j8] [j7] [c46] [c45] [c44] [c43] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [i5] [i3] [i2] [j5] [j4] [c31] [c30] [c29] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c17] [j3] [c16] [c15] [c14] [c12] [c10] [c9] [c8] [c7] [i1] [c6] [c5] [c4] [c3] [c2] [c1]
[c73] [j12] [j11] [c68] [c67] [c65] [c61] [c60] [c59] [c58] [i13] [i12] [j9] [c56] [c55] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [i11] [i10] [i8] [i7] [j8] [j7] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [i5] [i4] [i3] [i2] [j5] [j4] [c31] [c30] [c29] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c17] [j3] [c16] [c15] [c14] [c12] [c10] [c9] [c7] [i1] [c6] [c5] [c4] [c3] [c2] [c1]
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