About Me
I am currently a fourth-year Ph.D. student at the University of Maryland, advised by Prof. Furong Huang.
Read more about meResearch Interests
Data-Efficient Machine Learning
Dataset Condensation, Coreset Selection, Data Compression for Neural Networks
Graph Neural Networks
Scalable Graph Learning, Graph Augmentations, Graph Domain Generalization
Generative Models & Distribution Learning
Generative Adversarial Networks, Integral Probabilistic Metrics, Min-Max Optimizations
Recent News
Oct 2022
One paper (1st author) submitted to AISTATS 2023
Sep 2022
One paper (1st author) submitted to ICLR 2023
Sep 2022
Two papers (one 1st author) accepted at NeurIPS 2022
Mar 2022
One paper accepted at CVPR 2022
Dec 2021
I will present our paper at the poster session at NeurIPS 2021
Sep 2021
One paper (1st author) accepted at DistShift @ NeurIPS21' (spotlight)
Aug 2021
One paper (1st author) accepted at NeurIPS 2021
Selected Papers
Mucong Ding, and Anonymous Authors
Under review at Artificial Intelligence and Statistics (AISTATS), 2023.
Mucong Ding, and Anonymous Authors
Under review at International Conference on Learning Representations (ICLR), 2023.
Mucong Ding, Tahseen Rabbani, Bang An, Evan Z. Wang, Furong Huang
To appear in Advances in Neural Information Processing Systems (NeurIPS), 2022.
Bang An, Zora Che, Mucong Ding, Furong Huang
To appear in Advances in Neural Information Processing Systems (NeurIPS), 2022.
Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein
In Computer Vision and Pattern Recognition (CVPR), 2022.
Mucong Ding, Kezhi Kong, Jiuhai Chen, John Kirchenbauer, Micah Goldblum, David Wipf, Furong Huang, Tom Goldstein
In Distribution Shifts Workshop @ NeurIPS, 2021 (Spotlight).
Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John Dickerson, Furong Huang, Tom Goldstein
In Advances in Neural Information Processing Systems (NeurIPS), 2021.
Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
In International Conference on Learning Representations (ICLR), 2021.
Mucong Ding, Constantinos Daskalakis, Soheil Feizi
In Artificial Intelligence and Statistics (AISTATS), 2021 (Oral).