Mucong Ding
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
6
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles. | Aakriti Agrawal, Mucong Ding, Chenghao Deng, Zora Che, Arjun Rajaram, Anirudh Satheesh, Bang An, C. Bayan Bruss, John Langford, Furong Huang |
| 2024 | ICLR | SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. | Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang |
| 2024 | ICML | WAVES: Benchmarking the Robustness of Image Watermarks. | Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang |
| 2022 | CVPR | Robust Optimization as Data Augmentation for Large-scale Graphs. | Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein |
| 2021 | AISTATS | GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences. | Mucong Ding, Constantinos Daskalakis, Soheil Feizi |
| 2021 | ICLR | Understanding Over-parameterization in Generative Adversarial Networks. | Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stger, Mahdi Soltanolkotabi, Soheil Feizi |
| 2019 | LAK | Transfer Learning using Representation Learning in Massive Open Online Courses. | Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly |
| 2019 | LAK | Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses. | Mucong Ding, Kai Yang, Dit-Yan Yeung, Ting-Chuen Pong |