| 2026 | AAAI | Simulating Dispute Mediation with LLM-Based Agents for Legal Research. | Junjie Chen, Haitao Li, Minghao Qin, Yujia Zhou, Yanxue Ren, Wuyue Wang, Yiqun Liu, Yueyue Wu, Qingyao Ai |
| 2026 | AAAI | Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation. | Junjie Chen, Weihang Su, Zhumin Chu, Haitao Li, Yujia Zhou, Dingbo Yuan, Xudong Wang, Jun Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai |
| 2026 | AAAI | Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models. | Changyue Wang, Weihang Su, Qingyao Ai, Yiqun Liu |
| 2026 | AAAI | Investigating Prosocial Behavior Theory in LLM Agents Under Policy-Induced Inequities. | Yujia Zhou, Hexi Wang, Qingyao Ai, Zhen Wu, Yiqun Liu |
| 2026 | ACL | TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation. | Bangde Du, Minghao Guo, Songming He, Ziyi Ye, Xi Zhu, Weihang Su, Shuqi Zhu, Yujia Zhou, Yongfeng Zhang, Qingyao Ai, Yiqun Liu |
| 2026 | ACL | Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs. | Xuancheng Li, Haitao Li, Yujia Zhou, Yiqun Liu, Qingyao Ai |
| 2026 | ACL | Chinese Court Simulation with LLM-Based Agents System. | Kaiyuan Zhang, Jiaqi Li, Yueyue Wu, Haitao Li, Cheng Luo, Shaokun Zou, Yujia Zhou, Weihang Su, Yiqun Liu, Qingyao Ai |
| 2026 | WWW | LegalKit: A Modular Toolkit for Efficient Legal AI Evaluation. | Shuo Miao, Haitao Li, Yueyue Wu, Qingyao Ai, Yiqun Liu |
| 2026 | WWW | Generalized Pseudo-Relevance Feedback. | Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Fen Lin, Qin Liu, Qingyao Ai |
| 2026 | SIGIR | Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization. | Weihang Su, Xuanyi Chen, Yueyue Wu, Qingyao Ai, Yiqun Liu |
| 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 |
| 2026 | SIGIR | Analytical Search. | Yiteng Tu, Shuo Miao, Weihang Su, Yiqun Liu, Qingyao Ai |
| 2026 | SIGIR | Equity vs. Equality: Optimizing Ranking Fairness for Tailored Provider Needs. | Yiteng Tu, Weihang Su, Shuguang Han, Yiqun Liu, Qingyao Ai |
| 2026 | SIGIR | TEC: A Collection of Human Trial-and-error Trajectories for Problem Solving. | Xinkai Zhang, Jingtao Zhan, Yiqun Liu, Qingyao Ai |
| 2026 | WSDM | Unsupervised Dense Retrieval with Conterfactual Contrastive Learning. | Haitian Chen, Qingyao Ai, Yujia Zhou, Xiao Wang, Yiqun Liu, Fen Lin, Qin Liu |
| 2025 | AAAI | BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models. | Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Zhijing Wu, Yiqun Liu |
| 2025 | AAAI | DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment. | Haitao Li, Qingyao Ai, Xinyan Han, Jia Chen, Qian Dong, Yiqun Liu |
| 2025 | ACL | CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges. | Haitao Li, Junjie Chen, Qingyao Ai, Zhumin Chu, Yujia Zhou, Qian Dong, Yiqun Liu |
| 2025 | ACL | LegalAgentBench: Evaluating LLM Agents in Legal Domain. | 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 |
| 2025 | ACL | Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing. | Changyue Wang, Weihang Su, Qingyao Ai, Yujia Zhou, Yiqun Liu |
| 2025 | CIKM | JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference. | Zongyue Xue, Siyuan Zheng, Shaochun Wang, Yiran Hu, Yuxin Yao, Shengran Wang, Haitao Li, Qingyao Ai, Yiqun Liu, Yun Liu, Weixing Shen |
| 2025 | EMNLP | SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation. | Qian Dong, Jia Chen, Qingyao Ai, Hongning Wang, Haitao Li, Yi Wu, Yao Hu, Yiqun Liu, Shaoping Ma |
| 2025 | EMNLP | SimVBG: Simulating Individual Values by Backstory Generation. | Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Shuqi Zhu, Qingyao Ai, Yujia Zhou, Yiqun Liu |
| 2025 | EMNLP | PEPE: Long-context Extension for Large Language Models via Periodic Extrapolation Positional Encodings. | Jikun Hu, Dongsheng Guo, Yuli Liu, Qingyao Ai, Lixuan Wang, Xuebing Sun, Qilei Zhang, Quan Zhou, Cheng Luo |
| 2025 | EMNLP | Augmenting Multi-Agent Communication with State Delta Trajectory. | Yichen Tang, Weihang Su, Yujia Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai |
| 2025 | EMNLP | Knowledge Editing through Chain-of-Thought. | Changyue Wang, Weihang Su, Qingyao Ai, Yichen Tang, Yiqun Liu |
| 2025 | ICLR | Learning LLM-as-a-Judge for Preference Alignment. | Ziyi Ye, Xiangsheng Li, Qiuchi Li, Qingyao Ai, Yujia Zhou, Wei Shen, Dong Yan, Yiqun Liu |
| 2025 | WWW | Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention. | Qian Dong, Qingyao Ai, Hongning Wang, Yiding Liu, Haitao Li, Weihang Su, Yiqun Liu, Tat-Seng Chua, Shaoping Ma |
| 2025 | SIGIR | The 1 | Yujia Zhou, Wei Ji, Xuri Ge, Qingyao Ai, Joemon M. Jose, Yiqun Liu |
| 2025 | SIGIR | Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions. | Jia Chen, Qian Dong, Haitao Li, Xiaohui He, Yan Gao, Shaosheng Cao, Yi Wu, Ping Yang, Chen Xu, Yao Hu, Qingyao Ai, Yiqun Liu |
| 2025 | SIGIR | LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation. | Haitao Li, Yifan Chen, Yiran Hu, Qingyao Ai, Junjie Chen, Xiaoyu Yang, Jianhui Yang, Yueyue Wu, Zeyang Liu, Yiqun Liu |
| 2025 | SIGIR | Understanding the Effect of Opinion Polarization in Short Video Browsing. | Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Qingyao Ai, Yiqun Liu |
| 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 | Dynamic and Parametric Retrieval-Augmented Generation. | Weihang Su, Qingyao Ai, Jingtao Zhan, Qian Dong, Yiqun Liu |
| 2025 | SIGIR | Parametric Retrieval Augmented Generation. | Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu |
| 2025 | SIGIR | JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System. | Weihang Su, Baoqing Yue, Qingyao Ai, Yiran Hu, Jiaqi Li, Changyue Wang, Kaiyuan Zhang, Yueyue Wu, Yiqun Liu |
| 2025 | SIGIR | Robust Fine-tuning for Retrieval Augmented Generation against Retrieval Defects. | Yiteng Tu, Weihang Su, Yujia Zhou, Yiqun Liu, Qingyao Ai |
| 2025 | SIGIR | Brain Image Reconstruction with Retrieval-Augmented Diffusion. | Shuqi Zhu, Ziyi Ye, Yi Zhong, Qingyao Ai, Yujia Zhou, Yiqun Liu |
| 2024 | AAAI | Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval. | Yan Fang, Qingyao Ai, Jingtao Zhan, Yiqun Liu, Xiaolong Wu, Zhao Cao |
| 2024 | AAAI | Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-Hoc Retrieval. | Weihang Su, Qingyao Ai, Xiangsheng Li, Jia Chen, Yiqun Liu, Xiaolong Wu, Shengluan Hou |
| 2024 | ACL | DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models. | Weihang Su, Yichen Tang, Qingyao Ai, Zhijing Wu, Yiqun Liu |
| 2024 | ACL | Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models. | Weihang Su, Changyue Wang, Qingyao Ai, Yiran Hu, Zhijing Wu, Yujia Zhou, Yiqun Liu |
| 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 | Automatic Large Language Model Evaluation via Peer Review. | Zhumin Chu, Qingyao Ai, Yiteng Tu, Haitao Li, Yiqun Liu |
| 2024 | CIKM | LeDQA: A Chinese Legal Case Document-based Question Answering Dataset. | Bulou Liu, Zhenhao Zhu, Qingyao Ai, Yiqun Liu, Yueyue Wu |
| 2024 | DASFAA | A Situation-aware Enhancer for Personalized Recommendation. | Jiayu Li, Peijie Sun, Chumeng Jiang, Weizhi Ma, Qingyao Ai, Min Zhang |
| 2024 | DASFAA | Common Sense Enhanced Knowledge-based Recommendation with Large Language Model. | Shenghao Yang, Weizhi Ma, Peijie Sun, Min Zhang, Qingyao Ai, Yiqun Liu, Mingchen Cai |
| 2024 | EMNLP | STARD: A Chinese Statute Retrieval Dataset Derived from Real-life Queries by Non-professionals. | Weihang Su, Yiran Hu, Anzhe Xie, Qingyao Ai, Quezi Bing, Ning Zheng, Yun Liu, Weixing Shen, Yiqun Liu |
| 2024 | HIC | GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network. | Kaiyuan Zhang, Ziyi Ye, Qingyao Ai, Xiaohui Xie, Yiqun Liu |
| 2024 | ICTIR | CFE2: Counterfactual Editing for Search Result Explanation. | Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes |
| 2024 | WWW | Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. | Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai |
| 2024 | WWW | An In-depth Investigation of User Response Simulation for Conversational Search. | Zhenduo Wang, Zhichao Xu, Vivek Srikumar, Qingyao Ai |
| 2024 | SIGIR | Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. | Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma |
| 2024 | SIGIR | Scaling Laws For Dense Retrieval. | Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu |
| 2024 | SIGIR | LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset. | Haitao Li, Yunqiu Shao, Yueyue Wu, Qingyao Ai, Yixiao Ma, Yiqun Liu |
| 2024 | SIGIR | Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. | Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison |
| 2024 | SIGIR | Sequential Recommendation with Latent Relations based on Large Language Model. | Shenghao Yang, Weizhi Ma, Peijie Sun, Qingyao Ai, Yiqun Liu, Mingchen Cai, Min Zhang |
| 2024 | SIGIR | Capability-aware Prompt Reformulation Learning for Text-to-Image Generation. | Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jia Chen, Shaoping Ma |
| 2024 | SIGIR | EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation. | Shaorun Zhang, Zhiyu He, Ziyi Ye, Peijie Sun, Qingyao Ai, Min Zhang, Yiqun Liu |
| 2023 | CIKM | FARA: Future-aware Ranking Algorithm for Fairness Optimization. | Tao Yang, Zhichao Xu, Zhenduo Wang, Qingyao Ai |
| 2023 | CIKM | I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. | Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma |
| 2023 | CIKM | Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval. | Bulou Liu, Yiran Hu, Qingyao Ai, Yiqun Liu, Yueyue Wu, Chenliang Li, Weixing Shen |
| 2023 | EMNLP | CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding. | Yixiao Ma, Yueyue Wu, Weihang Su, Qingyao Ai, Yiqun Liu |
| 2023 | WWW | Zero-shot Clarifying Question Generation for Conversational Search. | Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai |
| 2023 | SIGIR | Metric-agnostic Ranking Optimization. | Qingyao Ai, Xuanhui Wang, Michael Bendersky |
| 2023 | SIGIR | Behavior Modeling for Point of Interest Search. | Haitian Chen, Qingyao Ai, Zhijing Wu, Zhihong Wang, Yiqun Liu, Min Zhang, Shaoping Ma, Juan Hu, Naiqiang Tan, Hua Chai |
| 2023 | SIGIR | SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval. | Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian |
| 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 | WSDM | Model-based Unbiased Learning to Rank. | Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison |
| 2023 | WSDM | Marginal-Certainty-Aware Fair Ranking Algorithm. | Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai |
| 2022 | CIKM | Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. | Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng |
| 2022 | SIGIR | Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search. | Yixiao Ma, Qingyao Ai, Yueyue Wu, Yunqiu Shao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2022 | SIGIR | Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank. | Tao Yang, Chen Luo, Hanqing Lu, Parth Gupta, Bing Yin, Qingyao Ai |
| 2021 | CIKM | Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search. | Qingyao Ai, Lakshmi Narayanan Ramasamy |
| 2021 | CIKM | ULTRA: An Unbiased Learning To Rank Algorithm Toolbox. | Anh Tran, Tao Yang, Qingyao Ai |
| 2021 | ECIR | A Zero Attentive Relevance Matching Network for Review Modeling in Recommendation System. | Hansi Zeng, Zhichao Xu, Qingyao Ai |
| 2021 | ICTIR | Session details: Session 1A - Ranking (1). | Qingyao Ai |
| 2021 | ICTIR | Asking Clarifying Questions Based on Negative Feedback in Conversational Search. | Keping Bi, Qingyao Ai, W. Bruce Croft |
| 2021 | ICTIR | Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation. | Zhichao Xu, Hansi Zeng, Qingyao Ai |
| 2021 | KDD | 3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. | Xiaoqiang Zhu, Kuang-chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang |
| 2021 | WWW | Controlling the Risk of Conversational Search via Reinforcement Learning. | Zhenduo Wang, Qingyao Ai |
| 2021 | WWW | Maximizing Marginal Fairness for Dynamic Learning to Rank. | Tao Yang, Qingyao Ai |
| 2021 | SIGIR | Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search. | Keping Bi, Qingyao Ai, W. Bruce Croft |
| 2021 | SIGIR | Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. | Liang Pang, Qingyao Ai, Jun Xu |
| 2021 | SIGIR | ULTRE Framework: a Framework for Unbiased Learning to Rank Evaluation based on Simulation of User Behavior. | Yurou Zhao, Jiaxin Mao, Qingyao Ai |
| 2021 | WSDM | Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. | Liang Pang, Qingyao Ai, Jun Xu |
| 2020 | CIKM | E-commerce Recommendation with Weighted Expected Utility. | Zhichao Xu, Yi Han, Yongfeng Zhang, Qingyao Ai |
| 2020 | CIKM | Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank. | Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai |
| 2020 | SIGIR | A Transformer-based Embedding Model for Personalized Product Search. | Keping Bi, Qingyao Ai, W. Bruce Croft |
| 2020 | SIGIR | SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. | Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen |
| 2019 | CIKM | A Zero Attention Model for Personalized Product Search. | Qingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, W. Bruce Croft |
| 2019 | CIKM | Conversational Product Search Based on Negative Feedback. | Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft |
| 2019 | CIKM | Correcting for Recency Bias in Job Recommendation. | Ruey-Cheng Chen, Qingyao Ai, Gaya Jayasinghe, W. Bruce Croft |
| 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 | ECIR | Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match. | Keping Bi, Qingyao Ai, W. Bruce Croft |
| 2019 | ICTIR | Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks. | Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork |
| 2019 | WWW | WWW'19 Tutorial on Explainable Recommendation and Search. | Yongfeng Zhang, Jiaxin Mao, Qingyao Ai |
| 2019 | SIGIR | SIGIR 2019 Tutorial on Explainable Recommendation and Search. | Yongfeng Zhang, Jiaxin Mao, Qingyao Ai |
| 2019 | WSDM | DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. | Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo |
| 2018 | CIKM | Unbiased Learning to Rank: Theory and Practice. | Qingyao Ai, Jiaxin Mao, Yiqun Liu, W. Bruce Croft |
| 2018 | CIKM | Towards Conversational Search and Recommendation: System Ask, User Respond. | Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, W. Bruce Croft |
| 2018 | ECIR | A Neural Passage Model for Ad-hoc Document Retrieval. | Qingyao Ai, Brendan O'Connor, W. Bruce Croft |
| 2018 | ICTIR | Unbiased Learning to Rank: Theory and Practice. | Qingyao Ai, Jiaxin Mao, Yiqun Liu, W. Bruce Croft |
| 2018 | SIGIR | Learning a Deep Listwise Context Model for Ranking Refinement. | Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft |
| 2018 | SIGIR | Unbiased Learning to Rank with Unbiased Propensity Estimation. | Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft |
| 2017 | CHIIR | Large-Scale Analysis of Email Search and Organizational Strategies. | Kanika Narang, Susan T. Dumais, Nick Craswell, Daniel J. Liebling, Qingyao Ai |
| 2017 | CIKM | Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources. | Yongfeng Zhang, Qingyao Ai, Xu Chen, W. Bruce Croft |
| 2017 | WWW | Characterizing Email Search using Large-scale Behavioral Logs and Surveys. | Qingyao Ai, Susan T. Dumais, Nick Craswell, Daniel J. Liebling |
| 2017 | SIGIR | Learning a Hierarchical Embedding Model for Personalized Product Search. | Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, W. Bruce Croft |
| 2017 | SIGIR | Personalized Key Frame Recommendation. | Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin |
| 2016 | CIKM | A Deep Relevance Matching Model for Ad-hoc Retrieval. | Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft |
| 2016 | CIKM | Semantic Matching by Non-Linear Word Transportation for Information Retrieval. | Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft |
| 2016 | CIKM | aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. | Liu Yang, Qingyao Ai, Jiafeng Guo, W. Bruce Croft |
| 2016 | ECIR | Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval. | Liu Yang, Qingyao Ai, Damiano Spina, Ruey-Cheng Chen, Liang Pang, W. Bruce Croft, Jiafeng Guo, Falk Scholer |
| 2016 | ICTIR | Analysis of the Paragraph Vector Model for Information Retrieval. | Qingyao Ai, Liu Yang, Jiafeng Guo, W. Bruce Croft |
| 2016 | SIGIR | Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval. | Qingyao Ai, Liu Yang, Jiafeng Guo, W. Bruce Croft |
| 2015 | CIKM | An Optimization Framework for Merging Multiple Result Lists. | Chia-Jung Lee, Qingyao Ai, W. Bruce Croft, Daniel Sheldon |