Mucong Ding
Mucong Ding
Department of Computer Science, University of Maryland
Verified email at - Homepage
Cited by
Cited by
Flag: Adversarial data augmentation for graph neural networks
K Kong, G Li, M Ding, Z Wu, C Zhu, B Ghanem, G Taylor, T Goldstein
arXiv preprint arXiv:2010.09891, 2020
Transfer Learning using Representation Learning in Massive Open Online Courses
M Ding, Y Wang, E Hemberg, UM O'Reilly
International Learning Analytics and Knowledge (LAK'19), 2019
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses
M Ding, K Yang, DY Yeung, TC Pong
International Learning Analytics and Knowledge (LAK'19), 2019
Understanding overparameterization in generative adversarial networks
Y Balaji, M Sajedi, NM Kalibhat, M Ding, D Stöger, M Soltanolkotabi, ...
arXiv preprint arXiv:2104.05605, 2021
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences
M Ding, C Daskalakis, S Feizi
International Conference on Artificial Intelligence and Statistics, 3709-3717, 2021
First-passage time distribution for random walks on complex networks using inverse Laplace transform and mean-field approximation
M Ding, KY Szeto
Selection of random walkers that optimizes the global mean first-passage time for search in complex networks
MC Ding, KY Szeto
Procedia Computer Science 108, 2423-2427, 2017
Adversarial Generation and Perturbation Elimination with GANs
M Ding, S Lu, Z Ding
Massachusetts Institute of Technology, 2018
Observing and Understanding the Video Watching Behavior in Online Lectures
M Ding, E Hemberg
MIT Computer Science & Artificial Intelligence Laboratory, 2017
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