Minkai Xu「徐民凯」

I am a first-year research master student at Montreal Institute for Learning Algorithms (Mila). Before that, I received my bachelor degree from Shanghai Jiao Tong University (SJTU), advised by Prof. Yong Yu and Prof. Weinan Zhang.

During my undergraduate years, I visited Prof. Jian Tang's group at Mila in summer, 2019. Then I spent a wonderful year working with Dr. Lei Li, Dr. Mingxuan Wang and Dr. Hao Zhou at ByteDance (TikTok) AI Lab.

Email: minkai.xu [at] umontreal.ca / xuminkai [at] mila.quebec

Github   /   Google Scholar   /   LinkedIn     

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Research Topics

My research interests primarily lie in deep generative models. Based on the fundamental understanding, I’m also eager to do research with a strong societal impact. Currently, I concetrate on the generative tasks on discrete data, e.g., graph and text.

Publication (* equal contribution)

Energy-Based Imitation Learning
Minghuan Liu,  Tairan He,  Minkai Xu,  Weinan Zhang 
ArXiv Preprint

Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
Yuxuan Song*,  Qiwei Ye*,  Minkai Xu*,  Tie-tan Liu 
ArXiv Preprint

A Graph to Graphs Framework for Retrosynthesis Prediction
Chence Shi,  Minkai Xu,  Hongyu Guo,  Ming Zhang,  Jian Tang 
International Conference on Machine Learning (ICML), 2020  

GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi*,  Minkai Xu*,  Zhaocheng Zhu,  Weinan Zhang,  Ming Zhang,  Jian Tang 
International Conference on Learning Representations (ICLR), 2020  

Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
Yuxuan Song,  Minkai Xu,  Lantao Yu,  Hao Zhou,  Shuo Shao,  Yong Yu 
AAAI Conference on Artificial Intelligence (AAAI), 2020  


Best Bachelor Thesis (TOP 1%). Towards Generalized Wasserstein GANs, SJTU. 2020

Mong Man Wai - Hong Kong Scholarship (~6,000 USD, 15 among 6,000+ sophomore and juniorstudents in SJTU, fully funded to visit Oxford University), SJTU. 2018

Kwang-Hua Scholarship (Sophomore Ranking 3rd/104 in CSE), Kwang-Hua Foundation. 2018

Shanghai Scholarship (Ranking 2nd/104 of Freshman in CSE), Shanghai Education Ministry. 2017

Updated at Sept. 2020
Thanks Jon Barron for this amazing work