Weinan Zhang

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Yong Yu (俞勇)Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Jun WangProfessor, Computer Science, University College LondonVerified email at cs.ucl.ac.uk
Ruiming TangHuaweiVerified email at huawei.com
Kan RenMicrosoft ResearchVerified email at microsoft.com
Ying WenAssistant Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Tianqi ChenCarnegie Mellon UniversityVerified email at cmu.edu
Lantao YuPh.D., Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Jian Tang (唐建）Associate Professor, Mila-Quebec AI Institute, HEC Montréal, Canada CIFAR AI ChairVerified email at hec.ca
Joemon JoseProfessor of Computer Science, University of GlasgowVerified email at glasgow.ac.uk
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA FellowVerified email at microsoft.com
Shuai YuanBeeswaxVerified email at beeswax.com
Alex SmolaBoson AIVerified email at smola.org
Fei FangCarnegie Mellon UniversityVerified email at cmu.edu
Gui-Rong XueCEO of TIANRANGVerified email at tianrang-inc.com
Katja HofmannMicrosoft ResearchVerified email at microsoft.com
Diyi YangStanford UniversityVerified email at stanford.edu
Antonis BikakisAssociate Professor in Computing and Artificial Intelligence, University College LondonVerified email at ucl.ac.uk
Amr AhmedSenior Staff Research Scientist, Google AIVerified email at google.com

Weinan Zhang

Associate Professor, Shanghai Jiao Tong University

Verified email at sjtu.edu.cn - Homepage

Reinforcement Learning Machine Learning Data Science Information Retrieval


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
SeqGAN: Sequence generative adversarial nets with policy gradient L Yu, W Zhang, J Wang, Y Yu 31st AAAI Conference on Artificial Intelligence (AAAI 2017), 2017	2579	2017
Wasserstein distance guided representation learning for domain adaptation J Shen, Y Qu, W Zhang, Y Yu AAAI 2018, 2018	809	2018
GraphGAN: Graph Representation Learning with Generative Adversarial Nets H Wang, J Wang, J Wang, M Zhao, W Zhang, F Zhang, X Xie, M Guo AAAI 2018, 2018	710	2018
Product-based neural networks for user response prediction Y Qu, H Cai, K Ren, W Zhang, Y Yu, Y Wen, J Wang IEEE 16th International Conference on Data Mining, 2016	671	2016
Efficient Architecture Search by Network Transformation H Cai, T Chen, W Zhang, Y Yu, J Wang AAAI 2018, 2018	668*	2018
Mean Field Multi-Agent Reinforcement Learning Y Yang, R Luo, M Li, M Zhou, W Zhang, J Wang ICML 2018, 2018	652	2018
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models J Wang, L Yu, W Zhang, Y Gong, Y Xu, B Wang, P Zhang, D Zhang SIGIR 2017 (Best Paper Honorable Mention Award), 2017	625	2017
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction W Zhang, T Du, J Wang European Conference on Information Retrieval, 2016	566	2016
Long Text Generation via Adversarial Training with Leaked Information J Guo, S Lu, H Cai, W Zhang, Y Yu, J Wang AAAI 2018, 2018	563	2018
Texygen: A Benchmarking Platform for Text Generation Models Y Zhu, S Lu, L Zheng, J Guo, W Zhang, J Wang, Y Yu SIGIR 2018, 2018	488	2018
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation C Shi, M Xu, Z Zhu, W Zhang, M Zhang, J Tang ICLR 2020, 2020	330	2020
Optimal Real-Time Bidding for Display Advertising W Zhang, S Yuan, J Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	330	2014
CoLight: Learning Network-level Cooperation for Traffic Signal Control H Wei, N Xu, H Zhang, G Zheng, X Zang, C Chen, W Zhang, Y Zhu, K Xu, ... CIKM 2019, 2019	269	2019
SVDFeature: a toolkit for feature-based collaborative filtering T Chen, W Zhang, Q Lu, K Chen, Z Zheng, Y Yu The Journal of Machine Learning Research 13 (1), 3619-3622, 2012	265	2012
Real-Time Bidding by Reinforcement Learning in Display Advertising H Cai, K Ren, W Zhang, K Malialis, J Wang, Y Yu, D Guo WSDM 2017, 2017	260	2017
Path-Level Network Transformation for Efficient Architecture Search H Cai, J Yang, W Zhang, S Han, Y Yu ICML 2018, 2018	255	2018
Dynamically fused graph network for multi-hop reasoning L Qiu, Y Xiao, Y Qu, H Zhou, L Li, W Zhang, Y Yu Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019	225	2019
Optimizing top-n collaborative filtering via dynamic negative item sampling W Zhang, T Chen, J Wang, Y Yu Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013	222	2013
Display advertising with real-time bidding (RTB) and behavioural targeting J Wang, W Zhang, S Yuan Foundations and Trends® in Information Retrieval 11 (4-5), 2017	218	2017
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario H Zhang, S Feng, C Liu, Y Ding, Y Zhu, Z Zhou, W Zhang, Y Yu, H Jin, Z Li WWW 2019, 2019	213	2019

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