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  1. Dr. Jian Tang. I am currently an associate professor at Mila-Quebec AI Institute and HEC Montreal. Prior to that, I was a Postdoc at University of Michigan and Carnegie Mellon University. I also worked at Microsoft Research Asia as an associate researcher between 2014-2016.

  2. Jian Tang (唐建). Associate Professor, Mila-Quebec AI Institute, HEC Montréal, Canada CIFAR AI Chair. Verified email at hec.ca - Homepage. Geometric deep learning AI for molecule/protein design knowledge graphs deep generative models.

  3. Meng Qu, Jian Tang, and Jiawei Han, Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning, in Proc. of 2018 ACM Int. Conf. on Web Search and Data Mining (WSDM’18), Los Angeles, CA, Feb. 2018 source code; Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han.

  4. Jian Tang. Professor, IEEE Fellow and ACM Distinguished Member, Department of EECS, Syracuse University. Verified email at syr.edu - Homepage. ... Z Xu, J Tang, J Meng, W Zhang, Y Wang, CH Liu, D Yang. IEEE INFOCOM 2018-IEEE conference on computer communications, 1871-1879, 2018. 429:

  5. jian-tang.com › files › CVJIAN TANG

    JIAN TANG. Assistant Professor, Core Faculty Member at Mila; HEC Montreal; CIFAR AI Chair www.jian-tang.com (+1) 4389241658 tangjianpku@gmail.com. RESEARCH INTERESTS. Deep Learning, Graph Representation Learning, Graph Neural Networks, Deep Generative Models, Knowledge Graphs, Drug Discovery, Material Discovery. EDUCATION.

  6. ORCID record for Jian Tang. ORCID provides an identifier for individuals to use with their name as they engage in research, scholarship, and innovation activities.

  7. github.com › DeepGraphLearningMilaGraph · GitHub

    Research group led by Prof. Jian Tang at Mila-Quebec AI Institute (https://mila.quebec/) focusing on graph representation learning and graph neural networks. 309 followers. Montreal. https://jian-tang.com/students/ tangjianpku@gmail.com. Pinned. torchdrug Public. A powerful and flexible machine learning platform for drug discovery. Python 1.4k 192.