Login / Signup
Mucong Ding
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 22
Top Topics
Unsupervised Learning
Vector Quantization
Neural Network
Conditional Independencies
Top Venues
CoRR
NeurIPS
ICLR
LAK
</>
Publications
</>
Mucong Ding
,
Tahseen Rabbani
,
Bang An
,
Evan Z. Wang
,
Furong Huang
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity.
CoRR
(2024)
Mucong Ding
,
Yinhan He
,
Jundong Li
,
Furong Huang
Spectral Greedy Coresets for Graph Neural Networks.
CoRR
(2024)
Bang An
,
Mucong Ding
,
Tahseen Rabbani
,
Aakriti Agrawal
,
Yuancheng Xu
,
Chenghao Deng
,
Sicheng Zhu
,
Abdirisak Mohamed
,
Yuxin Wen
,
Tom Goldstein
,
Furong Huang
Benchmarking the Robustness of Image Watermarks.
CoRR
(2024)
Mucong Ding
,
Yuancheng Xu
,
Tahseen Rabbani
,
Xiaoyu Liu
,
Brian J. Gravelle
,
Teresa M. Ranadive
,
Tai-Ching Tuan
,
Furong Huang
Calibrated Dataset Condensation for Faster Hyperparameter Search.
CoRR
(2024)
Mucong Ding
,
Souradip Chakraborty
,
Vibhu Agrawal
,
Zora Che
,
Alec Koppel
,
Mengdi Wang
,
Amrit S. Bedi
,
Furong Huang
SAIL: Self-Improving Efficient Online Alignment of Large Language Models.
CoRR
(2024)
Mucong Ding
,
Bang An
,
Yuancheng Xu
,
Anirudh Satheesh
,
Furong Huang
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation.
ICLR
(2024)
Bang An
,
Zora Che
,
Mucong Ding
,
Furong Huang
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization.
CoRR
(2022)
Mucong Ding
,
Tahseen Rabbani
,
Bang An
,
Evan Wang
,
Furong Huang
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity.
NeurIPS
(2022)
Kezhi Kong
,
Guohao Li
,
Mucong Ding
,
Zuxuan Wu
,
Chen Zhu
,
Bernard Ghanem
,
Gavin Taylor
,
Tom Goldstein
Robust Optimization as Data Augmentation for Large-scale Graphs.
CVPR
(2022)
Bang An
,
Zora Che
,
Mucong Ding
,
Furong Huang
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization.
NeurIPS
(2022)
Mucong Ding
,
Kezhi Kong
,
Jingling Li
,
Chen Zhu
,
John P. Dickerson
,
Furong Huang
,
Tom Goldstein
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization.
CoRR
(2021)
Mucong Ding
,
Kezhi Kong
,
Jingling Li
,
Chen Zhu
,
John Dickerson
,
Furong Huang
,
Tom Goldstein
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization.
NeurIPS
(2021)
Yogesh Balaji
,
Mohammadmahdi Sajedi
,
Neha Mukund Kalibhat
,
Mucong Ding
,
Dominik Stöger
,
Mahdi Soltanolkotabi
,
Soheil Feizi
Understanding Overparameterization in Generative Adversarial Networks.
CoRR
(2021)
Yogesh Balaji
,
Mohammadmahdi Sajedi
,
Neha Mukund Kalibhat
,
Mucong Ding
,
Dominik Stöger
,
Mahdi Soltanolkotabi
,
Soheil Feizi
Understanding Over-parameterization in Generative Adversarial Networks.
ICLR
(2021)
Mucong Ding
,
Constantinos Daskalakis
,
Soheil Feizi
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences.
AISTATS
(2021)
Mucong Ding
,
Constantinos Daskalakis
,
Soheil Feizi
Subadditivity of Probability Divergences on Bayes-Nets with Applications to Time Series GANs.
CoRR
(2020)
Kezhi Kong
,
Guohao Li
,
Mucong Ding
,
Zuxuan Wu
,
Chen Zhu
,
Bernard Ghanem
,
Gavin Taylor
,
Tom Goldstein
FLAG: Adversarial Data Augmentation for Graph Neural Networks.
CoRR
(2020)
Mucong Ding
,
Kai Yang
,
Dit-Yan Yeung
,
Ting-Chuen Pong
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses.
LAK
(2019)
Mucong Ding
,
Yanbang Wang
,
Erik Hemberg
,
Una-May O'Reilly
Transfer Learning using Representation Learning in Massive Open Online Courses.
LAK
(2019)
Mucong Ding
,
Kai Yang
,
Dit-Yan Yeung
,
Ting-Chuen Pong
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses.
CoRR
(2018)
Mucong Ding
,
Yanbang Wang
,
Erik Hemberg
,
Una-May O'Reilly
Transfer Learning using Representation Learning in Massive Open Online Courses.
CoRR
(2018)
Mucong Ding
,
Kwok Yip Szeto
First-passage time distribution for random walks on complex networks using inverse Laplace transform and mean-field approximation.
CoRR
(2018)