Weinan Zhang

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	Toate	Din 2020
Referințe bibliografice	26392	22341
h-index	75	73
i10-index	215	205

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Yong Yu (俞勇)Professor, Shanghai Jiao Tong UniversityAdresă de e-mail confirmată pe sjtu.edu.cn
Jun WangProfessor, Computer Science, University College LondonAdresă de e-mail confirmată pe cs.ucl.ac.uk
Ruiming TangHuaweiAdresă de e-mail confirmată pe huawei.com
Kan RenAssistant Professor, ShanghaiTech UniversityAdresă de e-mail confirmată pe shanghaitech.edu.cn
Ying WenAssociate Professor, Shanghai Jiao Tong UniversityAdresă de e-mail confirmată pe sjtu.edu.cn
Lantao YuPh.D., Computer Science, Stanford UniversityAdresă de e-mail confirmată pe cs.stanford.edu
Tianqi ChenCarnegie Mellon UniversityAdresă de e-mail confirmată pe cmu.edu
Jian XuSenior Director, Ad Platform, Alibaba GroupAdresă de e-mail confirmată pe berkeley.edu
Tie-Yan LiuPresident, Zhongguancun Academy | IEEE Fellow | ACM Fellow | AAIA FellowAdresă de e-mail confirmată pe bjzgca.edu.cn
Joemon JoseProfessor of Computer Science, University of GlasgowAdresă de e-mail confirmată pe glasgow.ac.uk
Shuai YuanFreeWheelAdresă de e-mail confirmată pe beeswax.com
Alex SmolaBoson AIAdresă de e-mail confirmată pe smola.org
Jian Tang (唐建）Associate Professor, Mila-Quebec AI Institute, HEC Montréal, Canada CIFAR AI ChairAdresă de e-mail confirmată pe hec.ca
Fei FangCarnegie Mellon UniversityAdresă de e-mail confirmată pe cmu.edu
Gui-Rong XueCEO of TIANRANGAdresă de e-mail confirmată pe tianrang-inc.com
Diyi YangStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Antonis BikakisProfessor of Artificial Intelligence, University College LondonAdresă de e-mail confirmată pe ucl.ac.uk
Amr AhmedSenior Staff Research Scientist, Google AIAdresă de e-mail confirmată pe google.com
Katja HofmannMicrosoft ResearchAdresă de e-mail confirmată pe microsoft.com

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Weinan Zhang

Professor, Shanghai Jiao Tong University

Adresă de e-mail confirmată pe sjtu.edu.cn - Pagina de pornire

Reinforcement Learning Agents Data Science


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	3024	2017
Wasserstein distance guided representation learning for domain adaptation J Shen, Y Qu, W Zhang, Y Yu AAAI 2018, 2018	1088	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	886*	2018
Mean Field Multi-Agent Reinforcement Learning Y Yang, R Luo, M Li, M Zhou, W Zhang, J Wang ICML 2018, 2018	862	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	812	2016
Efficient Architecture Search by Network Transformation H Cai, T Chen, W Zhang, Y Yu, J Wang AAAI 2018, 2018	766	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	734	2017
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	696	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	662	2018
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	652	2016
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	527	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	413	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	382	2014
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	326	2019
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	315	2017
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	297	2013
Path-Level Network Transformation for Efficient Architecture Search H Cai, J Yang, W Zhang, S Han, Y Yu ICML 2018, 2018	295	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	282	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	282	2012
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	268	2017

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