Qingyao Ai

Publications

2023

Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining  ·  27 Feb 2023
Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining  ·  27 Feb 2023
Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai
arXiv  ·  31 Jan 2023

2022

Simulating and Modeling the Risk of Conversational Search
Zhenduo Wang, Qingyao Ai
ACM Transactions on Information Systems (TOIS)  ·  31 Dec 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, Junqi Zhang, Yiqun Liu
In the Proceedings of the NTCIR-16 Conference on Evaluation of Information Access Technologies  ·  31 Dec 2022
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 the Proceedings of the 45th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR’22)  ·  31 Dec 2022
Incorporating Retrieval Information into the Truncation of Ranking Lists in the Legal Domain
Yixiao Ma, Qingyao Ai, Yueyue Wu, Yunqiu Shao, Yiqun Liu, Min Zhang, Shaoping Ma
In the Proceedings of the 45th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR’22)  ·  31 Dec 2022
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 and Knowledge Management (CIKM’22)  ·  31 Dec 2022

2021

Unbiased Learning to Rank: Online or Offline?
Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao
ACM Transactions on Information Systems (TOIS)  ·  31 Dec 2021
A Zero Attentative Relevance Matching Network for Review Modeling in Recommender System
Hansi Zeng, Zhichao Xu, Qingyao Ai
In Proceedings of the 43rd European Conference on Information Retrieval (ECIR‘21)  ·  31 Dec 2021
Maximizing Marginal Fairness for Dynamic Learning to Rank
Tao Yang, Qingyao Ai
In Proceedings of the 30th International Conference on World Wide Web (WWW '21)  ·  31 Dec 2021
Controlling the Risk of Conversational Search via Reinforcement Learning
Zhenduo Wang, Qingyao Ai
In Proceedings of the 30th International Conference on World Wide Web (WWW '21)  ·  31 Dec 2021
A Review-based Transformer Model for Personalized Product Search
Keping Bi, Qingyao Ai, W Bruce Croft
In the Proceedings of the 44th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR’21)  ·  31 Dec 2021
ULTRE framework: a framework for Unbiased Learning to Rank Evaluation based on simulation of user behavior
Yurou Zhao, Jiaxin Mao, Qingyao Ai
In Workshop on Simulation within Information Retrieval with SIGIR 2021 (Sim4IR-SIGIR'21)  ·  31 Dec 2021
Asking Clarifying Questions Based on Negative Feedback in Conversational Search
Keping Bi, Qingyao Ai, W Bruce Croft
In Proceedings of the 7th ACM International Conference on the Theory of Information Retrieval (ICTIR'21)  ·  31 Dec 2021
Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation
Zhichao Xu, Hansi Zeng, Qingyao Ai
In Proceedings of the 7th ACM International Conference on the Theory of Information Retrieval (ICTIR'21)  ·  31 Dec 2021
Model-agnostic vs Model-intrinsic Interpretability for Explainable Product Search
Qingyao Ai*, Lakshmi Narayanan R*
In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM’21)  ·  31 Dec 2021
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
Anh Tran, Tao Yang, Qingyao Ai
In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM’21)  ·  31 Dec 2021

2020

A Transformer-based Embedding Model for Personalized Product Search
Keping Bi, Qingyao Ai, W Bruce Croft
In the Proceedings of the 43rd International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR’20)  ·  31 Dec 2020
Setrank: Learning a permutation-invariant ranking model for information retrieval
Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen
In the Proceedings of the 43rd International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR’20)  ·  31 Dec 2020
Review Regularized Neural Collaborative Filtering
Zhimeng Pan, Wenzheng Tao, Qingyao Ai
In Proceedings of the 2nd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2020 (DLP-KDD’20)  ·  31 Dec 2020
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank
Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai
In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM’20)  ·  31 Dec 2020
E-commerce Recommendation with Weighted Expected Utility
Zhichao Xu, Yi Han, Yongfeng Zhang, Qingyao Ai
In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM’20)  ·  31 Dec 2020

2019

Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match
Keping Bi, Qingyao Ai, W Bruce Croft
In Proceedings of the 41st European Conference on Information Retrieval (ECIR‘19)  ·  31 Dec 2019
Investigating Weak Supervision in Deep Ranking
Yukun Zheng, Yiqun Liu, Zhen Fan, Cheng Luo, Qingyao Ai, Min Zhang, Shaoping Ma
In Data and Information Management (DIM)  ·  31 Dec 2019
A Deep Look into Neural Ranking Models for Information Retrieval
Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W Bruce Croft, Xueqi Cheng
In Information Processing and Management  ·  31 Dec 2019
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks
Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork
In Proceedings of the 5th ACM International Conference on the Theory of Information Retrieval (ICTIR'19)  ·  31 Dec 2019
Correcting for Recency Bias in Job Recommendation
Ruey-Cheng Chen, Qingyao Ai, Gaya Jayasinghe, W Bruce Croft
In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’19)  ·  31 Dec 2019
Improving Web Image Search with Contextual Information
Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Qingyao Ai, Yufei Huang, Min Zhang, Shaoping Ma
In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’19)  ·  31 Dec 2019
A Zero Attention Model for Personalized Product Search
Qingyao Ai, Daniel Hill, Vishy Vishwanathan, W Bruce Croft
In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’19)  ·  31 Dec 2019
Conversational Product Search Based on Negative Feedback
Keping Bi, Qingyao Ai, Yongfeng Zhang, W Bruce Croft
In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM’19)  ·  31 Dec 2019
Explainable Product Search with a Dynamic Relation Embedding Model
Qingyao Ai, Yongfeng Zhang, Keping Bi, W Bruce Croft
ACM Transactions on Information Systems (TOIS) 38  ·  31 Dec 2019

2018

A Neural Passage Model for Ad-hoc Document Retrieval
Qingyao Ai, Brendan O'Connor, W Bruce Croft
In Proceedings of 40th European Conference on Information Retrieval (ECIR 2018)  ·  31 Dec 2018
Learning a Deep Listwise Context Model for Ranking Refinement
Qingyao Ai, Keping Bi, Jiafeng Guo, W Bruce Croft
In Proceedings of the 41th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR’18)  ·  31 Dec 2018
Unbiased Learning to Rank with Unbiased Propensity Estimation
Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W Bruce Croft
In Proceedings of the 41th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR’18)  ·  31 Dec 2018
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
Qingyao Ai, Vahid Azizi, Xu Chen, Yongfeng Zhang
In Algorithms  ·  31 Dec 2018
Towards Conversational Search and Recommendation: System Ask User Respond
Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, W Bruce Croft
In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM’18)  ·  31 Dec 2018

2017

Enhancing click models with mouse movement information
Zeyang Liu, Jiaxin Mao, Chao Wang, Qingyao Ai, Yiqun Liu, Jian-Yun Nie
Information Retrieval Journal  ·  31 Dec 2017
Large-Scale Analysis of Email Search and Organizational Strategies
Kanika Narang, Susan T. Dumais, Nick Craswell, Dan Liebling, Qingyao Ai
In Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval (CHIIR 2017)  ·  31 Dec 2017
Characterizing Email Search using Large-scale Behavioral Logs and Surveys
Qingyao Ai, Susan T. Dumais, Nick Craswell, Dan Liebling
In Proceedings of the 26th International Conference on World Wide Web (WWW '17)  ·  31 Dec 2017
Personalized Key Frame Recommendation
Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin
In Proceedings of the 40th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR’17)  ·  31 Dec 2017
Learning a Hierarchical Embedding Model for Personalized Product Search
Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, W Bruce Croft
In Proceedings of the 40th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR’17)  ·  31 Dec 2017
UMass at TREC 2017 Common Core Track
Qingyao Ai, Hamed Zamani, Stephen Harding, Shahrzad Naseri, James Allan, W Bruce Croft
TREC'17  ·  31 Dec 2017
Joint representation learning for top-n recommendation with heterogeneous information sources
Yongfeng Zhang*, Qingyao Ai*, Xu Chen, W Bruce Croft
In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM’17)  ·  31 Dec 2017

2016

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
In Proceedings of 38th European Conference on Information Retrieval (ECIR 2016)  ·  31 Dec 2016
Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval
Qingyao Ai, Liu Yang, Jiafeng Guo, W Bruce Croft
In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR’16)  ·  31 Dec 2016
Adaptability of Neural Networks on Varying Granularity IR Tasks
Daniel Cohen, Qingyao Ai, W Bruce Croft
In Proceedings of The International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’16)  ·  31 Dec 2016
Analysis of the Paragraph Vector Model for Information Retrieval
Qingyao Ai, Liu Yang, Jiafeng Guo, W Bruce Croft
In Proceedings of the 2nd ACM International Conference on the Theory of Information Retrieval (ICTIR 16)  ·  31 Dec 2016
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model
Liu Yang, Qingyao Ai, Jiafeng Guo, W Bruce Croft
In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016)  ·  31 Dec 2016
Semantic Matching by Non-Linear Word Transportation for Information Retrieval
Jiafeng Guo, Yixing Fan, Qingyao Ai, W Bruce Croft
In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016)  ·  31 Dec 2016
A Deep Relevance Matching Model for Ad-hoc Retrieval
Jiafeng Guo, Yixing Fan, Qingyao Ai, W Bruce Croft
In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016)  ·  31 Dec 2016

2015

An Optimization Framework for Merging Multiple Result Lists
Lee Chia-Jung*, Qingyao Ai*, W Bruce Croft, Daniel Sheldon
In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (CIKM 2015)  ·  31 Dec 2015

“∗” means equal contribution