Qingyao Ai

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W. Bruce CroftDistinguished Professor Emeritus, University of Massachusetts AmherstPatvirtintas el. paštas cs.umass.edu
Jiafeng GuoProfessor, Institute of Computing Techonology, CASPatvirtintas el. paštas ict.ac.cn
Yongfeng ZhangProfessor of Computer Science, Rutgers UniversityPatvirtintas el. paštas rutgers.edu
Keping BiInstitute of Computing Technology, Chinese Academy of SciencesPatvirtintas el. paštas ict.ac.cn
Xu Chen 陈旭Tenure-Track Associate Professor, Renmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Liu YangGoogle ResearchPatvirtintas el. paštas google.com
Min ZhangProfessor, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Jiaxin MaoRenmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Yixing FanictPatvirtintas el. paštas ict.ac.cn
Liang PangAssociate Professor, Institute of Computing Technology, Chinese Academy of SciencesPatvirtintas el. paštas ict.ac.cn
Cheng LuoMegaTech.AIPatvirtintas el. paštas tsinghua.edu.cn
Michael BenderskyGoogle DeepMindPatvirtintas el. paštas google.com
Nick CraswellMicrosoftPatvirtintas el. paštas microsoft.com
Jun XuProfessor, Gaoling School of Artificial Intelligence, Renmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Ruey-Cheng ChenCanvaPatvirtintas el. paštas canva.com
Susan DumaisTechnical Fellow, Microsoft ResearchPatvirtintas el. paštas microsoft.com
Daniel J. LieblingGooglePatvirtintas el. paštas liebling.org
Marc NajorkGoogle DeepMindPatvirtintas el. paštas google.com
Nadav GolbandiGoogle, Inc.Patvirtintas el. paštas google.com
Xuanhui WangGoogle DeepMindPatvirtintas el. paštas google.com

Stebėti

Qingyao Ai

Associate Professor, Dept. of CS&T, Tsinghua University

Patvirtintas el. paštas tsinghua.edu.cn - Pagrindinis puslapis

Information Retrieval Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	1028	2016
Learning heterogeneous knowledge base embeddings for explainable recommendation Q Ai, V Azizi, X Chen, Y Zhang Algorithms 11 (9), 137, 2018	478	2018
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	461	2018
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	434	2020
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	344	2017
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	240	2018
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	240	2018
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	239	2016
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	150	2017
Learning over knowledge-base embeddings for recommendation Y Zhang, Q Ai, X Chen, P Wang arXiv preprint arXiv:1803.06540, 2018	136	2018
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	135	2020
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	123	2019
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	117	2016
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	116	2017
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	92	2016
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	92	2016
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	79	2023
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	77	2023
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	77	2019
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	73	2019

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