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Qingyao Ai
Qingyao Ai
Associate Professor, Dept. of CS&T, Tsinghua University
Zweryfikowany adres z tsinghua.edu.cn - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
10222016
Learning heterogeneous knowledge base embeddings for explainable recommendation
Q Ai, V Azizi, X Chen, Y Zhang
Algorithms 11 (9), 137, 2018
4802018
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
4542018
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
4252020
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
3492017
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
2402018
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
2382016
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
2372018
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
1482017
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
1372020
Learning over knowledge-base embeddings for recommendation
Y Zhang, Q Ai, X Chen, P Wang
arXiv preprint arXiv:1803.06540, 2018
1372018
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
1212019
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
1182017
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
1122016
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
Advances in Information Retrieval: 38th European Conference on IR Research …, 2016
912016
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
902016
Information retrieval meets large language models: a strategic report from chinese ir community
Q Ai, T Bai, Z Cao, Y Chang, J Chen, Z Chen, Z Cheng, S Dong, Z Dou, ...
AI Open 4, 80-90, 2023
782023
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
752019
SAILER: structure-aware pre-trained language model for legal case retrieval
H Li, Q Ai, J Chen, Q Dong, Y Wu, Y Liu, C Chen, Q Tian
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
742023
A zero attention model for personalized product search
Q Ai, DN Hill, SVN Vishwanathan, WB Croft
Proceedings of the 28th ACM International Conference on Information and …, 2019
732019
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