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 RenShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Ying WenAssociate Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Lantao YuPh.D., Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Tianqi ChenCarnegie Mellon UniversityVerified email at cmu.edu
Jian XuSenior Director, Ad Platform, Alibaba GroupVerified email at berkeley.edu
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA FellowVerified email at microsoft.com
Joemon JoseProfessor of Computer Science, University of GlasgowVerified email at glasgow.ac.uk
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
Jian Tang (唐建）Associate Professor, Mila-Quebec AI Institute, HEC Montréal, Canada CIFAR AI ChairVerified email at hec.ca
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
Katja HofmannMicrosoft ResearchVerified email at microsoft.com

Weinan Zhang

Professor, Shanghai Jiao Tong University

Verified email at sjtu.edu.cn - Homepage

Reinforcement Learning Agents Data Science


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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	2891	2017
Wasserstein distance guided representation learning for domain adaptation J Shen, Y Qu, W Zhang, Y Yu AAAI 2018, 2018	988	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	838	2018
Mean Field Multi-Agent Reinforcement Learning Y Yang, R Luo, M Li, M Zhou, W Zhang, J Wang ICML 2018, 2018	784	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	766	2016
Efficient Architecture Search by Network Transformation H Cai, T Chen, W Zhang, Y Yu, J Wang AAAI 2018, 2018	741	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	706	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	628	2016
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	627	2018
Long Text Generation via Adversarial Training with Leaked Information J Guo, S Lu, H Cai, W Zhang, Y Yu, J Wang AAAI 2018, 2018	622	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	464	2020
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	367	2019
Optimal Real-Time Bidding for Display Advertising W Zhang, S Yuan, J Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	364	2014
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	302	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	288	2019
Path-Level Network Transformation for Efficient Architecture Search H Cai, J Yang, W Zhang, S Han, Y Yu ICML 2018, 2018	288	2018
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	276	2012
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	273	2013
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	261	2019
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	245	2017

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