• Qingyao Ai

• Assitant Professor

• Department of Computer Science and Technology

• Joined Department: 2022

• Email: aiqy@tsinghua.edu.cn

• URL: http://www.thuir.cn/group/~aiqy/

Education background

Bachelor of Computer Science, Tsinghua University, Beijing, China, 2014;

Ph.D. in Computer Science, University of Massachusetts Amherst, USA, 2019.

Areas of Research Interests

Information Retrieval, Machine Learning

Research Status

My research mainly focuses on solving Information Retrieval (IR) problems with machine learning techniques. I have extensively worked on the construction of intelligent IR systems with deep neural networks, unbiased learning theories, and large language models, as well as their applications in a variety of IR tasks such as web search, product recommendation, legal retrieval, etc.

Honors And Awards

ACM SIGIR-AP 2023 Best Paper Honorable Mention （2023）

Google Research Scholar Award （2021）

UMass CICS Accomplishments in Search & Mining Awards （2017）

Tsinghua CS&T Zhongshimo Scholarship (2012)

Academic Achievement

(Complete list can be found in http://www.thuir.cn/group/~aiqy/)

[1] A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability. Zhichao Xu, Hansi Zeng, Juntao Tan, Zuohui Fu, Yongfeng Zhang, Qingyao Ai. In ACM Trans. Inf. Syst.

[2] 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. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023.

[3] 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. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023.

[4] FARA: Future-aware Ranking Algorithm for Fairness Optimization. Tao Yang, Zhichao Xu, Zhenduo Wang, Qingyao Ai. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023.

[5] CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding. Yixiao Ma, Yueyue Wu, Weihang Su, Qingyao Ai, Yiqun Liu. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023.

[6] Constructing Tree-based Index for Efficient and Effective Dense Retrieval. Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023.

[7] 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. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023.

[8] 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. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023.

[9] Metric-agnostic Ranking Optimization. Qingyao Ai, Xuanhui Wang, Michael Bendersky. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023.

[10] Chuweb21D: A Deduped English Document Collection for Web Search Tasks. Zhumin Chu, Tetsuya Sakai, Qingyao Ai, Yiqun Liu. In Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023.

[11] Result Diversification for Legal case Retrieval. Ruizhe Zhang, Qingyao Ai, Yueyue Wu, Yixiao Ma, Yiqun Liu. In Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023.

[12] Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process. Beining Wang, Ruizhe Zhang, Yueyue Wu, Qingyao Ai, Min Zhang, Yiqun Liu. In Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023.

[13] Vertical Allocation-based Fair Exposure Amortizing in Ranking. Tao Yang, Zhichao Xu, Qingyao Ai. In Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023.

[14] Marginal-Certainty-Aware Fair Ranking Algorithm. Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai. In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

[15] Model-based Unbiased Learning to Rank. Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison. In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

[16] Zero-shot Clarifying Question Generation for Conversational Search. Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai. In Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023.

[17] Simulating and Modeling the Risk of Conversational Search. Zhenduo Wang, Qingyao Ai. In ACM Trans. Inf. Syst.

[18] 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. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022.

[19] 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. In SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022.

[20] 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. In SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022.

[21] Unbiased Learning to Rank: Online or Offline?. Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao. In ACM Trans. Inf. Syst.