Jiaxin Mao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
93
Venues
13
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
93 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ECIR | Beyond Persuasiveness: A User-Centric Evaluation Framework of Explanations for Food Recommendation. | Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Wei Lin, Jiaxin Mao |
| 2026 | WWW | CardRewriter: Leveraging Knowledge Cards for Long-Tail Query Rewriting on Short-Video Platforms. | Peiyuan Gong, Feiran Zhu, Yaqi Yin, Chenglei Dai, Chao Zhang, Kai Zheng, Wentian Bao, Jiaxin Mao, Yi Zhang |
| 2026 | SIGIR | SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generation. | Weihang Su, Anzhe Xie, Qingyao Ai, Jianming Long, Xuanyi Chen, Jiaxin Mao, Ziyi Ye, Yiqun Liu |
| 2025 | ACL | Towards Effective and Efficient Continual Pre-training of Large Language Models. | Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, 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 |
| 2025 | CIKM | FinS-Pilot: A Benchmark for Online Financial RAG System. | Feng Wang, Yiding Sun, Jiaxin Mao, Xue Wei, Danqing Xu |
| 2025 | CIKM | Dense Retrieval for Aggregated Search. | Lang Mei, Sijie Liu, Ziyuan Zhao, Rolan Yan, Jiaxin Mao, Jirong Wen |
| 2025 | CIKM | Addressing Personalized Bias for Unbiased Learning to Rank. | Zechun Niu, Lang Mei, Liu Yang, Ziyuan Zhao, Qiang Yan, Jiaxin Mao, Ji-Rong Wen |
| 2025 | CIKM | CLUE: Using Large Language Models for Judging Document Usefulness in Web Search Evaluation. | Xingzhu Wang, Erhan Zhang, Yiqun Chen, Jinghan Xuan, Yucheng Hou, Yitong Xu, Ying Nie, Shuaiqiang Wang, Dawei Yin, Jiaxin Mao |
| 2025 | CIKM | Adapting LLMs for Personalized Evaluation of Explanations for Recommendations: A Meta-Learning Approach based on MAML. | Yurou Zhao, Yingfei Zhang, Quan Zhou, Shuang Zhang, Wei Lin, Jiaxin Mao |
| 2025 | ICLR | 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 |
| 2025 | WWW | TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. | Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Xinyu Ma, Wei Yang, Daiting Shi, Jiaxin Mao, Dawei Yin |
| 2025 | WWW | MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification. | Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin |
| 2025 | WWW | Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models. | Qi Liu, Bo Wang, Nan Wang, Jiaxin Mao |
| 2025 | SIGIR | MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation. | Ruoxuan Feng, Zhen Tian, Qiushi Peng, Jiaxin Mao, Wayne Xin Zhao, Di Hu, Changwang Zhang |
| 2025 | SIGIR | A Flexible User Study Platform for Generative Information Retrieval. | Yidong Liang, Zhijing Wu, Yuchen He, Fengming Liang, Kexin Liu, Jiaxin Mao |
| 2025 | SIGIR | Distributionally Robust Optimization for Unbiased Learning to Rank. | Zechun Niu, Lang Mei, Chong Chen, Jiaxin Mao |
| 2025 | SIGIR | Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. | Zechun Niu, Zhilin Zhang, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen |
| 2025 | SIGIR | Exploring Human-Like Thinking in Search Simulations with Large Language Models. | Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Zixuan Yang, Jiaxin Mao |
| 2024 | ACL | Prompt Refinement with Image Pivot for Text-to-Image Generation. | Jingtao Zhan, Qingyao Ai, Yiqun Liu, Yingwei Pan, Ting Yao, Jiaxin Mao, Shaoping Ma, Tao Mei |
| 2024 | CIKM | Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. | Hanqi Zhang, Chong Chen, Lang Mei, Qi Liu, Jiaxin Mao |
| 2024 | CIKM | Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. | Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Weizhi Ma, Jiaxin Mao |
| 2024 | ICDE | Optimizing Probabilistic Box Embeddings with Distance Measures. | Lang Mei, Jiaxin Mao, Ji-Rong Wen |
| 2024 | IJCAI | PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning. | Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang |
| 2024 | SIGIR | Scaling Laws For Dense Retrieval. | Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu |
| 2024 | SIGIR | CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models. | Peiyuan Gong, Jiamian Li, Jiaxin Mao |
| 2024 | SIGIR | An Integrated Data Processing Framework for Pretraining Foundation Models. | Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao |
| 2024 | SIGIR | USimAgent: Large Language Models for Simulating Search Users. | Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin, Jiaxin Mao |
| 2023 | CIKM | Understanding the Multi-vector Dense Retrieval Models. | Qi Liu, Jiaxin Mao |
| 2023 | IJCAI | Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). | Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2023 | WWW | A Passage-Level Reading Behavior Model for Mobile Search. | Zhijing Wu, Jiaxin Mao, Kedi Xu, Dandan Song, Heyan Huang |
| 2023 | SIGIR | Constructing Tree-based Index for Efficient and Effective Dense Retrieval. | Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao |
| 2023 | SIGIR | Session Search with Pre-trained Graph Classification Model. | Shengjie Ma, Chong Chen, Jiaxin Mao, Qi Tian, Xuhui Jiang |
| 2022 | CIKM | KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. | Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua |
| 2022 | CIKM | Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models. | Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2022 | IJCAI | Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). | Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2022 | KDD | 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, Biye Jiang, Jiaxin Mao, Weinan Zhang |
| 2022 | WWW | Learning Probabilistic Box Embeddings for Effective and Efficient Ranking. | Lang Mei, Jiaxin Mao, Gang Guo, Ji-Rong Wen |
| 2022 | WWW | Global or Local: Constructing Personalized Click Models for Web Search. | Junqi Zhang, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma, Qi Tian |
| 2022 | SIGIR | Axiomatically Regularized Pre-training for Ad hoc Search. | Jia Chen, Yiqun Liu, Yan Fang, Jiaxin Mao, Hui Fang, Shenghao Yang, Xiaohui Xie, Min Zhang, Shaoping Ma |
| 2022 | SIGIR | Webformer: Pre-training with Web Pages for Information Retrieval. | Yu Guo, Zhengyi Ma, Jiaxin Mao, Hongjin Qian, Xinyu Zhang, Hao Jiang, Zhao Cao, Zhicheng Dou |
| 2022 | SIGIR | Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. | Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua |
| 2022 | SIGIR | Generating Clarifying Questions with Web Search Results. | Ziliang Zhao, Zhicheng Dou, Jiaxin Mao, Ji-Rong Wen |
| 2022 | WSDM | A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation. | Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He |
| 2022 | WSDM | Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. | Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2021 | CIKM | Incorporating Query Reformulating Behavior into Web Search Evaluation. | Jia Chen, Yiqun Liu, Jiaxin Mao, Fan Zhang, Tetsuya Sakai, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2021 | CIKM | Evaluating Relevance Judgments with Pairwise Discriminative Power. | Zhumin Chu, Jiaxin Mao, Fan Zhang, Yiqun Liu, Tetsuya Sakai, Min Zhang, Shaoping Ma |
| 2021 | CIKM | POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling. | Zeyang Liu, Ke Zhou, Jiaxin Mao, Max L. Wilson |
| 2021 | CIKM | Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. | Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2021 | WWW | Constructing a Comparison-based Click Model for Web Search. | Ruizhe Zhang, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2021 | WWW | Towards a Better Understanding of Query Reformulation Behavior in Web Search. | Jia Chen, Jiaxin Mao, Yiqun Liu, Fan Zhang, Min Zhang, Shaoping Ma |
| 2021 | WWW | Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation. | Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He |
| 2021 | SIGIR | Investigating Session Search Behavior with Knowledge Graphs. | Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2021 | SIGIR | Investigating User Behavior in Legal Case Retrieval. | Yunqiu Shao, Yueyue Wu, Yiqun Liu, Jiaxin Mao, Min Zhang, Shaoping Ma |
| 2021 | SIGIR | Optimizing Dense Retrieval Model Training with Hard Negatives. | Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2021 | SIGIR | ULTRE Framework: a Framework for Unbiased Learning to Rank Evaluation based on Simulation of User Behavior. | Yurou Zhao, Jiaxin Mao, Qingyao Ai |
| 2020 | CIKM | Learning Better Representations for Neural Information Retrieval with Graph Information. | Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2020 | CIKM | Neural Logic Reasoning. | Shaoyun Shi, Hanxiong Chen, Weizhi Ma, Jiaxin Mao, Min Zhang, Yongfeng Zhang |
| 2020 | IJCAI | BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval. | Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Ken Satoh, Min Zhang, Shaoping Ma |
| 2020 | WWW | Leveraging Passage-level Cumulative Gain for Document Ranking. | Zhijing Wu, Jiaxin Mao, Yiqun Liu, Jingtao Zhan, Yukun Zheng, Min Zhang, Shaoping Ma |
| 2020 | SIGIR | Investigating Reading Behavior in Fine-grained Relevance Judgment. | Zhijing Wu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2020 | SIGIR | Modeling User Behavior for Vertical Search: Images, Apps and Products. | Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke |
| 2020 | SIGIR | Preference-based Evaluation Metrics for Web Image Search. | Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Haitian Chen, Min Zhang, Shaoping Ma |
| 2020 | SIGIR | Cascade or Recency: Constructing Better Evaluation Metrics for Session Search. | Fan Zhang, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2020 | SIGIR | Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics. | Fan Zhang, Jiaxin Mao, Yiqun Liu, Xiaohui Xie, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2020 | SIGIR | An Analysis of BERT in Document Ranking. | Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2020 | WSDM | A Context-Aware Click Model for Web Search. | Jia Chen, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2020 | WSDM | Investigating Examination Behavior in Mobile Search. | Yukun Zheng, Jiaxin Mao, Yiqun Liu, Mark Sanderson, Min Zhang, Shaoping Ma |
| 2019 | CIKM | TianGong-ST: A New Dataset with Large-scale Refined Real-world Web Search Sessions. | Jia Chen, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2019 | CIKM | Investigating the Learning Process in Job Search: A Longitudinal Study. | Jiaxin Mao, Damiano Spina, Sargol Sadeghi, Falk Scholer, Mark Sanderson |
| 2019 | CIKM | Improving Web Image Search with Contextual Information. | Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Qingyao Ai, Yufei Huang, Min Zhang, Shaoping Ma |
| 2019 | CIKM | Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning. | Junqi Zhang, Jiaxin Mao, Yiqun Liu, Ruizhe Zhang, Min Zhang, Shaoping Ma, Jun Xu, Qi Tian |
| 2019 | ICTIR | Investigating the Reliability of Click Models. | Jiaxin Mao, Zhumin Chu, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2019 | KDD | Investigating Cognitive Effects in Session-level Search User Satisfaction. | Mengyang Liu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2019 | WWW | Grid-based Evaluation Metrics for Web Image Search. | Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Yunqiu Shao, Zixin Ye, Min Zhang, Shaoping Ma |
| 2019 | WWW | WWW'19 Tutorial on Explainable Recommendation and Search. | Yongfeng Zhang, Jiaxin Mao, Qingyao Ai |
| 2019 | SIGIR | Teach Machine How to Read: Reading Behavior Inspired Relevance Estimation. | Xiangsheng Li, Jiaxin Mao, Chao Wang, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2019 | SIGIR | Towards Context-Aware Evaluation for Image Search. | Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2019 | SIGIR | Investigating Passage-level Relevance and Its Role in Document-level Relevance Judgment. | Zhijing Wu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2019 | SIGIR | SIGIR 2019 Tutorial on Explainable Recommendation and Search. | Yongfeng Zhang, Jiaxin Mao, Qingyao Ai |
| 2019 | SIGIR | Human Behavior Inspired Machine Reading Comprehension. | Yukun Zheng, Jiaxin Mao, Yiqun Liu, Zixin Ye, Min Zhang, Shaoping Ma |
| 2018 | CHIIR | A Two-Stage Model for User's Examination Behavior in Mobile Search. | Jiaxin Mao, Yiqun Liu, Noriko Kando, Zexue He, Min Zhang, Shaoping Ma |
| 2018 | CIKM | Unbiased Learning to Rank: Theory and Practice. | Qingyao Ai, Jiaxin Mao, Yiqun Liu, W. Bruce Croft |
| 2018 | CIKM | Understanding Reading Attention Distribution during Relevance Judgement. | Xiangsheng Li, Yiqun Liu, Jiaxin Mao, Zexue He, Min Zhang, Shaoping Ma |
| 2018 | ECIR | Investigating Result Usefulness in Mobile Search. | Jiaxin Mao, Yiqun Liu, Noriko Kando, Cheng Luo, Min Zhang, Shaoping Ma |
| 2018 | ICTIR | Unbiased Learning to Rank: Theory and Practice. | Qingyao Ai, Jiaxin Mao, Yiqun Liu, W. Bruce Croft |
| 2018 | WWW | "Satisfaction with Failure" or "Unsatisfied Success": Investigating the Relationship between Search Success and User Satisfaction. | Mengyang Liu, Yiqun Liu, Jiaxin Mao, Cheng Luo, Min Zhang, Shaoping Ma |
| 2018 | SIGIR | Towards Designing Better Session Search Evaluation Metrics. | Mengyang Liu, Yiqun Liu, Jiaxin Mao, Cheng Luo, Shaoping Ma |
| 2018 | SIGIR | Constructing Click Models for Mobile Search. | Jiaxin Mao, Cheng Luo, Min Zhang, Shaoping Ma |
| 2018 | SIGIR | Constructing an Interaction Behavior Model for Web Image Search. | Xiaohui Xie, Jiaxin Mao, Maarten de Rijke, Ruizhe Zhang, Min Zhang, Shaoping Ma |
| 2017 | ADC | Training Deep Ranking Model with Weak Relevance Labels. | Cheng Luo, Yukun Zheng, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2017 | SIGIR | Understanding and Predicting Usefulness Judgment in Web Search. | Jiaxin Mao, Yiqun Liu, Huan-Bo Luan, Min Zhang, Shaoping Ma, Hengliang Luo, Yuntao Zhang |
| 2016 | SIGIR | How does Domain Expertise Affect Users' Search Processes in Exploratory Searches? | Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2016 | SIGIR | When does Relevance Mean Usefulness and User Satisfaction in Web Search? | Jiaxin Mao, Yiqun Liu, Ke Zhou, Jian-Yun Nie, Jingtao Song, Min Zhang, Shaoping Ma, Jiashen Sun, Hengliang Luo |