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Qingyao Ai
Qingyao Ai
Assistant Professor, Dept. of CS&T, Tsinghua University
Verified email at tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
A deep relevance matching model for ad-hoc retrieval
J Guo, Y Fan, Q Ai, WB Croft
Proceedings of the 25th ACM international on conference on information and …, 2016
7732016
Towards conversational search and recommendation: System ask, user respond
Y Zhang, X Chen, Q Ai, L Yang, WB Croft
Proceedings of the 27th acm international conference on information and …, 2018
2762018
Joint representation learning for top-n recommendation with heterogeneous information sources
Y Zhang, Q Ai, X Chen, WB Croft
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
2592017
Learning heterogeneous knowledge base embeddings for explainable recommendation
Q Ai, V Azizi, X Chen, Y Zhang
Algorithms 11 (9), 137, 2018
2362018
A deep look into neural ranking models for information retrieval
J Guo, Y Fan, L Pang, L Yang, Q Ai, H Zamani, C Wu, WB Croft, X Cheng
Information Processing & Management 57 (6), 102067, 2020
2342020
aNMM: Ranking short answer texts with attention-based neural matching model
L Yang, Q Ai, J Guo, WB Croft
Proceedings of the 25th ACM international on conference on information and …, 2016
2042016
Learning a deep listwise context model for ranking refinement
Q Ai, K Bi, J Guo, WB Croft
The 41st international ACM SIGIR conference on research & development in …, 2018
1432018
Unbiased learning to rank with unbiased propensity estimation
Q Ai, K Bi, C Luo, J Guo, WB Croft
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
1332018
Learning a hierarchical embedding model for personalized product search
Q Ai, Y Zhang, K Bi, X Chen, WB Croft
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
1062017
Personalized key frame recommendation
X Chen, Y Zhang, Q Ai, H Xu, J Yan, Z Qin
Proceedings of the 40th international ACM SIGIR conference on research and …, 2017
1032017
Analysis of the paragraph vector model for information retrieval
Q Ai, L Yang, J Guo, WB Croft
Proceedings of the 2016 ACM international conference on the theory of …, 2016
912016
Beyond factoid QA: effective methods for non-factoid answer sentence retrieval
L Yang, Q Ai, D Spina, RC Chen, L Pang, WB Croft, J Guo, F Scholer
European Conference on Information Retrieval, 115-128, 2016
782016
Semantic matching by non-linear word transportation for information retrieval
J Guo, Y Fan, Q Ai, WB Croft
Proceedings of the 25th ACM International on Conference on Information and …, 2016
772016
Learning over knowledge-base embeddings for recommendation
Y Zhang, Q Ai, X Chen, P Wang
arXiv preprint arXiv:1803.06540, 2018
732018
Learning groupwise multivariate scoring functions using deep neural networks
Q Ai, X Wang, S Bruch, N Golbandi, M Bendersky, M Najork
Proceedings of the 2019 ACM SIGIR international conference on theory of …, 2019
69*2019
Improving language estimation with the paragraph vector model for ad-hoc retrieval
Q Ai, L Yang, J Guo, WB Croft
Proceedings of the 39th international ACM SIGIR conference on research and …, 2016
512016
Setrank: Learning a permutation-invariant ranking model for information retrieval
L Pang, J Xu, Q Ai, Y Lan, X Cheng, J Wen
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
502020
Conversational product search based on negative feedback
K Bi, Q Ai, Y Zhang, WB Croft
Proceedings of the 28th acm international conference on information and …, 2019
462019
Characterizing email search using large-scale behavioral logs and surveys
Q Ai, ST Dumais, N Craswell, D Liebling
Proceedings of the 26th International Conference on World Wide Web, 1511-1520, 2017
412017
Unbiased learning to rank: Online or offline?
Q Ai, T Yang, H Wang, J Mao
ACM Transactions on Information Systems (TOIS) 39 (2), 1-29, 2021
392021
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