Publications | Qingyao Ai

Incorporating Structural Information into Legal Case Retrieval

Yixiao Ma, Yueyue Wu, Qingyao Ai, Yiqun Liu, Yunqiu Shao, Min Zhang, Shaoping Ma

ACM Trans. Inf. Syst.

An Intent Taxonomy of Legal Case Retrieval

Yunqiu Shao, Haitao Li, Yueyue Wu, Yiqun Liu, Qingyao Ai, Jiaxin Mao, Yixiao Ma, Shaoping Ma

ACM Trans. Inf. Syst.

PRE: A Peer Review Based Large Language Model Evaluator

Zhumin Chu, Qingyao Ai, Yiteng Tu, Haitao Li, Yiqun Liu

CoRR

Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval

Yan Fang, Qingyao Ai, Jingtao Zhan, Yiqun Liu, Xiaolong Wu, Zhao Cao

Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada

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

Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada

Query Augmentation by Decoding Semantics from Brain Signals

Ziyi Ye, Jingtao Zhan, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Christina Lioma, Tuukka Ruotsalo

CoRR

Gender Biased Legal Case Retrieval System on Users' Decision Process

Ruizhe Zhang, Qingyao Ai, Yiqun Liu, Yueyue Wu, Beining Wang

CoRR

Exploring the Impact of Opinion Polarization on Short Video Consumption

Bangde Du, Ziyi Ye, Zhijing Wu, Qingyao Ai, Yiqun Liu

CoRR

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

CoRR

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

CoRR

A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability

Zhichao Xu, Hansi Zeng, Juntao Tan, Zuohui Fu, Yongfeng Zhang, Qingyao Ai

ACM Trans. Inf. Syst.

Relevance Feedback with Brain Signals

Ziyi Ye, Xiaohui Xie, Qingyao Ai, Yiqun Liu, Zhihong Wang, Weihang Su, Min Zhang

CoRR

Language Generation from Human Brain Activities

Ziyi Ye, Qingyao Ai, Yiqun Liu, Min Zhang, Christina Lioma, Tuukka Ruotsalo

CoRR

Caseformer: Pre-training for Legal Case Retrieval

Weihang Su, Qingyao Ai, Yueyue Wu, Yixiao Ma, Haitao Li, Yiqun Liu

CoRR

LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset

Haitao Li, Yunqiu Shao, Yueyue Wu, Qingyao Ai, Yixiao Ma, Yiqun Liu

CoRR

Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback

Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma

CoRR

GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network

Kaiyuan Zhang, Ziyi Ye, Qingyao Ai, Xiaohui Xie, Yiqun Liu

CoRR

I^3 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

CoRR

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

CoRR

Unconfounded Propensity Estimation for Unbiased Ranking

Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison

CoRR

THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment

Haitao Li, Changyue Wang, Weihang Su, Yueyue Wu, Qingyao Ai, Yiqun Liu

CoRR

THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case Retrieval

Haitao Li, Weihang Su, Changyue Wang, Yueyue Wu, Qingyao Ai, Yiqun Liu

CoRR

THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank

Jia Chen, Haitao Li, Weihang Su, Qingyao Ai, Yiqun Liu

CoRR

Reward-free Policy Imitation Learning for Conversational Search

Zhenduo Wang, Zhichao Xu, Qingyao Ai

CoRR

An In-depth Investigation of User Response Simulation for Conversational Search

Zhenduo Wang, Zhichao Xu, Qingyao Ai, Vivek Srikumar

CoRR

Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank

Haitao Li, Jia Chen, Weihang Su, Qingyao Ai, Yiqun Liu

CoRR

Diverse legal case search

Ruizhe Zhang, Qingyao Ai, Yueyue Wu, Yixiao Ma, Yiqun Liu

CoRR

Counterfactual Editing for Search Result Explanation

Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes

CoRR

Zero-shot Clarifying Question Generation for Conversational Search

Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai

Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

Model-based Unbiased Learning to Rank

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, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

Marginal-Certainty-Aware Fair Ranking Algorithm

Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

Vertical Allocation-based Fair Exposure Amortizing in Ranking

Tao Yang, Zhichao Xu, Qingyao Ai

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

Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process

Beining Wang, Ruizhe Zhang, Yueyue Wu, Qingyao Ai, Min Zhang, Yiqun Liu

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

Result Diversification for Legal case Retrieval

Ruizhe Zhang, Qingyao Ai, Yueyue Wu, Yixiao Ma, Yiqun Liu

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

Chuweb21D: A Deduped English Document Collection for Web Search Tasks

Zhumin Chu, Tetsuya Sakai, Qingyao Ai, Yiqun Liu

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

Metric-agnostic Ranking Optimization

Qingyao Ai, Xuanhui Wang, Michael Bendersky

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

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

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

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

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

Constructing Tree-based Index for Efficient and Effective Dense Retrieval

Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao

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

CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding

Yixiao Ma, Yueyue Wu, Weihang Su, Qingyao Ai, Yiqun Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023

FARA: Future-aware Ranking Algorithm for Fairness Optimization

Tao Yang, Zhichao Xu, Zhenduo Wang, Qingyao Ai

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

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

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

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

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

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community

Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu

AI Open

Reinforcement Learning to Rank with Coarse-grained Labels

Zhichao Xu, Anh Tran, Tao Yang, Qingyao Ai

CoRR

Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval

Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma

CoRR

Learning to Rank Rationales for Explainable Recommendation

Zhichao Xu, Yi Han, Tao Yang, Anh Tran, Qingyao Ai

CoRR

Effective Exposure Amortizing for Fair Top-k Recommendation

Tao Yang, Zhichao Xu, Qingyao Ai

CoRR

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

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

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

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

Simulating and Modeling the Risk of Conversational Search

Zhenduo Wang, Qingyao Ai

ACM Trans. Inf. Syst.

A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System

Hansi Zeng, Zhichao Xu, Qingyao Ai

CoRR

Controlling the Risk of Conversational Search via Reinforcement Learning

Zhenduo Wang, Qingyao Ai

WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.

Maximizing Marginal Fairness for Dynamic Learning to Rank

Tao Yang, Qingyao Ai

WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.

Beyond Probability Ranking Principle: Modeling the Dependencies among Documents

Liang Pang, Qingyao Ai, Jun Xu

SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search

Keping Bi, Qingyao Ai, W. Bruce Croft

SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

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

KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021

Asking Clarifying Questions Based on Negative Feedback in Conversational Search

Keping Bi, Qingyao Ai, W. Bruce Croft

ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021

Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation

Zhichao Xu, Hansi Zeng, Qingyao Ai

ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021

A Zero Attentive Relevance Matching Network for Review Modeling in Recommendation System

Hansi Zeng, Zhichao Xu, Qingyao Ai

Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I

ULTRA: An Unbiased Learning To Rank Algorithm Toolbox

Anh Tran, Tao Yang, Qingyao Ai

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

Model-agnostic vs Model-intrinsic Interpretability for Explainable Product Search

Qingyao Ai, Lakshmi Narayanan Ramasamy

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

Unbiased Learning to Rank: Online or Offline?

Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao

ACM Trans. Inf. Syst.

A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems

Hansi Zeng, Qingyao Ai

CoRR

Review Regularized Neural Collaborative Filtering

Zhimeng Pan, Wenzheng Tao, Qingyao Ai

CoRR

A Review-based Transformer Model for Personalized Product Search

Keping Bi, Qingyao Ai, W. Bruce Croft

CoRR

A Transformer-based Embedding Model for Personalized Product Search

Keping Bi, Qingyao Ai, W. Bruce Croft

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval

Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank

Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai

CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

E-commerce Recommendation with Weighted Expected Utility

Zhichao Xu, Yi Han, Yongfeng Zhang, Qingyao Ai

CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

Explainable Product Search with a Dynamic Relation Embedding Model

Qingyao Ai, Yongfeng Zhang, Keping Bi, W. Bruce Croft

ACM Trans. Inf. Syst.

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

Inf. Process. Manag.

WWW'19 Tutorial on Explainable Recommendation and Search

Yongfeng Zhang, Jiaxin Mao, Qingyao Ai

Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019.

DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications

Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

SIGIR 2019 Tutorial on Explainable Recommendation and Search

Yongfeng Zhang, Jiaxin Mao, Qingyao Ai

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019.

Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks

Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019.

Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match

Keping Bi, Qingyao Ai, W. Bruce Croft

Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I

Correcting for Recency Bias in Job Recommendation

Ruey-Cheng Chen, Qingyao Ai, Gaya Jayasinghe, W. Bruce Croft

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 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

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.

A Zero Attention Model for Personalized Product Search

Qingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, W. Bruce Croft

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.

Conversational Product Search Based on Negative Feedback

Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.

Neural generative models and representation learning for information retrieval

Qingyao Ai

SIGIR Forum

Investigating Weak Supervision in Deep Ranking

Yukun Zheng, Yiqun Liu, Zhen Fan, Cheng Luo, Qingyao Ai, Min Zhang, Shaoping Ma

Data Inf. Manag.

Revisiting Iterative Relevance Feedback for Document and Passage Retrieval

Keping Bi, Qingyao Ai, W. Bruce Croft

CoRR

Learning Groupwise Scoring Functions Using Deep Neural Networks

Qingyao Ai, Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Marc Najork

CoRR

Learning over Knowledge-Base Embeddings for Recommendation

Yongfeng Zhang, Qingyao Ai, Xu Chen, Pengfei Wang

CoRR

Unbiased Learning to Rank with Unbiased Propensity Estimation

Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft

The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

Learning a Deep Listwise Context Model for Ranking Refinement

Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft

The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

Unbiased Learning to Rank: Theory and Practice

Qingyao Ai, Jiaxin Mao, Yiqun Liu, W. Bruce Croft

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

Towards Conversational Search and Recommendation: System Ask, User Respond

Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, W. Bruce Croft

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation

Qingyao Ai, Vahid Azizi, Xu Chen, Yongfeng Zhang

Algorithms

A Neural Passage Model for Ad-hoc Document Retrieval

Qingyao Ai, Brendan O'Connor, W. Bruce Croft

Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018, Grenoble, France, March 26-29, 2018, Proceedings

Characterizing Email Search using Large-scale Behavioral Logs and Surveys

Qingyao Ai, Susan T. Dumais, Nick Craswell, Daniel J. Liebling

Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017

UMass at TREC 2017 Common Core Track

Qingyao Ai, Hamed Zamani, Stephen M. Harding, Shahrzad Naseri, James Allan, W. Bruce Croft

Proceedings of The Twenty-Sixth Text REtrieval Conference, TREC 2017, Gaithersburg, Maryland, USA, November 15-17, 2017

Learning a Hierarchical Embedding Model for Personalized Product Search

Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, W. Bruce Croft

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

Personalized Key Frame Recommendation

Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources

Yongfeng Zhang, Qingyao Ai, Xu Chen, W. Bruce Croft

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017

Large-Scale Analysis of Email Search and Organizational Strategies

Kanika Narang, Susan T. Dumais, Nick Craswell, Daniel J. Liebling, Qingyao Ai

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, CHIIR 2017, Oslo, Norway, March 7-11, 2017

Enhancing click models with mouse movement information

Zeyang Liu, Jiaxin Mao, Chao Wang, Qingyao Ai, Yiqun Liu, Jian-Yun Nie

Inf. Retr. J.

Adaptability of Neural Networks on Varying Granularity IR Tasks

Daniel Cohen, Qingyao Ai, W. Bruce Croft

CoRR

Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval

Qingyao Ai, Liu Yang, Jiafeng Guo, W. Bruce Croft

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016

Analysis of the Paragraph Vector Model for Information Retrieval

Qingyao Ai, Liu Yang, Jiafeng Guo, W. Bruce Croft

Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, ICTIR 2016, Newark, DE, USA, September 12- 6, 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

Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings

Semantic Matching by Non-Linear Word Transportation for Information Retrieval

Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

A Deep Relevance Matching Model for Ad-hoc Retrieval

Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model

Liu Yang, Qingyao Ai, Jiafeng Guo, W. Bruce Croft

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

An Optimization Framework for Merging Multiple Result Lists

Chia-Jung Lee, Qingyao Ai, W. Bruce Croft, Daniel Sheldon

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015