Jian Tang (唐建）

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Meng QuQuebec AI Institute (Mila)Verified email at umontreal.ca
Ming Zhang, 张铭Professor,Peking UniversityVerified email at net.pku.edu.cn
Qiaozhu MeiProfessor, University of MichiganVerified email at umich.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Chence ShiQuebec AI Institute (Mila)Verified email at umontreal.ca
Zhi-Hong DengSchool of Electronics Engineering and Computer Science, Peking UniversityVerified email at cis.pku.edu.cn
Minkai XuMila - Quebec AI InstituteVerified email at umontreal.ca
Weiping Song (宋卫平)Peking UniversityVerified email at pku.edu.cn
Zhaocheng ZhuQuebec AI Institute (Mila)Verified email at umontreal.ca
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
XuanLong NguyenUniversity of MichiganVerified email at umich.edu
Zhaoshi MengVicarious AIVerified email at vicarious.com
Andreea DeacMila, Université de MontréalVerified email at mila.quebec
Xuanzhe LiuPeking UniversityVerified email at pku.edu.cn
Laurent CharlinAssociate Professor, HEC Montréal & Mila, Canada CIFAR AI ChairVerified email at hec.ca
Bolanle OjokohProfessor of Computer Science, Federal University of Technology, Akure, NigeriaVerified email at futa.edu.ng
Feixiong ChengCleveland ClinicVerified email at ccf.org
P. Lió, Pietro Lio, P. Lio, Pietro Liò, Pie...University of CambridgeVerified email at cam.ac.uk
Shengchao(Chao) LiuUniversity of MontrealVerified email at umontreal.ca
Connor W. ColeyDepartment of Chemical Engineering, MITVerified email at mit.edu

Jian Tang (唐建）

Assistant Professor, Mila-Quebec AI Institute, HEC Montréal, Canada CIFAR AI Chair

Verified email at hec.ca - Homepage

Deep learning graph representation learning knowledge graphs drug discovery deep generative models


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Line: Large-scale information network embedding J Tang, M Qu, M Wang, M Zhang, J Yan, Q Mei Proceedings of the 24th international conference on world wide web, 1067-1077, 2015	3468	2015
Pte: Predictive text embedding through large-scale heterogeneous text networks J Tang, M Qu, Q Mei Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	580	2015
Rotate: Knowledge graph embedding by relational rotation in complex space Z Sun, ZH Deng, JY Nie, J Tang ICLR 2019, 2019	411	2019
Visualizing large-scale and high-dimensional data J Tang, J Liu, M Zhang, Q Mei Proceedings of the 25th international conference on world wide web, 287-297, 2016	295	2016
Understanding the limiting factors of topic modeling via posterior contraction analysis J Tang, Z Meng, X Nguyen, Q Mei, M Zhang International Conference on Machine Learning, 190-198, 2014	240	2014
Deepinf: Social influence prediction with deep learning J Qiu, J Tang, H Ma, Y Dong, K Wang, J Tang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	185	2018
Correlated states in twisted double bilayer graphene C Shen, Y Chu, QS Wu, N Li, S Wang, Y Zhao, J Tang, J Liu, J Tian, ... Nature Physics 16 (5), 520-525, 2020	169	2020
Adversarial network embedding Q Dai, Q Li, J Tang, D Wang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	158	2018
Graphene‐Contacted Ultrashort Channel Monolayer MoS₂ Transistors L Xie, M Liao, S Wang, H Yu, L Du, J Tang, J Zhao, J Zhang, P Chen, X Lu, ... Advanced Materials 29 (37), 1702522, 2017	136	2017
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks W Song, C Shi, Z Xiao, Z Duan, Y Xu, M Zhang, J Tang CIKM 2019, 2019	127	2019
Session-based social recommendation via dynamic graph attention networks W Song, Z Xiao, Y Wang, L Charlin, M Zhang, J Tang Proceedings of the Twelfth ACM international conference on web search and …, 2019	125	2019
GMNN: Graph Markov Neural Networks M Qu, Y Bengio, J Tang ICML 2019, 2019	122	2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization FY Sun, J Hoffmann, V Verma, J Tang ICLR 2020 (Spotlight), 2020	119	2020
Artificial intelligence in COVID-19 drug repurposing Y Zhou, F Wang, J Tang, R Nussinov, F Cheng The Lancet Digital Health, 2020	115	2020
Thermally induced graphene rotation on hexagonal boron nitride D Wang, G Chen, C Li, M Cheng, W Yang, S Wu, G Xie, J Zhang, J Zhao, ... Physical review letters 116 (12), 126101, 2016	104	2016
An attention-based collaboration framework for multi-view network representation learning M Qu, J Tang, J Shang, X Ren, M Zhang, J Han Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017	96	2017
Current-driven magnetization switching in a van der Waals ferromagnet Fe3GeTe2 X Wang, J Tang, X Xia, C He, J Zhang, Y Liu, C Wan, C Fang, C Guo, ... Science advances 5 (8), eaaw8904, 2019	89	2019
Biosurfactants enhanced heavy metals removal from sludge in the electrokinetic treatment J Tang, J He, X Xin, H Hu, T Liu Chemical Engineering Journal 334, 2579-2592, 2018	66	2018
Context-aware natural language generation with recurrent neural networks J Tang, Y Yang, S Carton, M Zhang, Q Mei arXiv preprint arXiv:1611.09900, 2016	62	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	58	2020

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