Chence Shi 「史晨策」

I am a first-year master student at Montreal Institute for Learning Algorithms (Mila) supervised by Prof. Jian Tang. Before that, I received my B.S. in Computer Science from Peking University, advised by Prof. Ming Zhang.

Email: chence.shi [at] umontreal.ca / chenceshi1105 [at] gmail.com

Github   /   Google Scholar     

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Research Topics

My research interests lie primarily in machine learning, graph representation learning, natural language processing and recommender system.

News

[Jun. 2020]  New!!  Our paper A Graph to Graphs Framework for Retrosynthesis Prediction was accepted at ICML 2020.

[Dec. 2019]  New!!  Our paper GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation was accepted at ICLR 2020.

[Aug. 2019]  New!!  Our paper AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks was accepted at CIKM 2019.

[Mar. 2019]  We released a library of recommender systems with deep neural networks.

Publication
A Graph to Graphs Framework for Retrosynthesis Prediction
Chence ShiMinkai XuHongyu GuoMing ZhangJian Tang 
International Conference on Machine Learning (ICML), 2020  
Video Recording
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi*,  Minkai Xu*,  Zhaocheng Zhu,  Weinan Zhang,  Ming ZhangJian Tang 
International Conference on Learning Representations (ICLR), 2020  
Code    Video Recording
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping SongChence ShiZhiping Xiao,  Zhijian Duan,  Yewen Xu,  Ming ZhangJian Tang 
International Conference on Information and Knowledge Management (CIKM), 2019  
Code

(* equal contribution)

Awards

IVADO Excellence Scholarships - Msc (20,000 CAD per year), 2020



Updated at Jul. 2020