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Understanding Overparameterization in Generative Adversarial Networks


Apr 12, 2021
Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi

* Accepted in ICLR 2021 

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FLAG: Adversarial Data Augmentation for Graph Neural Networks


Oct 19, 2020
Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein


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Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs


Mar 02, 2020
Mucong Ding, Constantinos Daskalakis, Soheil Feizi


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Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses


Dec 18, 2018
Mucong Ding, Kai Yang, Dit-Yan Yeung, Ting-Chuen Pong

* 10 pages, 13 figures, accepted at LAK'19 

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Transfer Learning using Representation Learning in Massive Open Online Courses


Dec 18, 2018
Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly

* 10 pages, 11 figures, accepted at LAK'19 

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Selection of Random Walkers that Optimizes the Global Mean First-Passage Time for Search in Complex Networks


Dec 12, 2018
Mucong Ding, Kwok Yip Szeto

* In Procedia Computer Science 108 (2017): 2423-2427 
* 5 pages, 2 figures, accepted at ICCS'17 

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Transfer Learning using Representation Learning in Massive Online Open Courses


Dec 12, 2018
Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly

* 10 pages, 12 figures, accepted at LAK'19 

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