Mucong Ding
9 papers · 2021–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer π Cross-Pollinator (15)
π
Triple Crown
Conferences
NIPS (4)
ICLR (2)
AISTATS (1)
CVPR (1)
ICML (1)
Top co-authors
Keywords
node classification
(3)
graph neural network
(3)
link prediction
(2)
domain adaptation
(1)
graph classification
(1)
data augmentation
(1)
item response theory
(1)
subpopulation shift
(1)
message passing
(1)
vector quantization
(1)
distribution shift
(1)
sublinear complexity
(1)
markov random field
(1)
bayesian network
(1)
graphical model
(1)
benchmark dataset
(1)
adversarial perturbation
(1)
consistency regularization
(1)
generative adversarial network
(1)
group fairness
(1)
Papers
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
ICLR 2024
WAVES: Benchmarking the Robustness of Image Watermarks
ICML 2024
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
NIPS 2024
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
NIPS 2022
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
NIPS 2022
Robust Optimization As Data Augmentation for Large-Scale Graphs
CVPR 2022
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences
AISTATS 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
NIPS 2021
Understanding Over-parameterization in Generative Adversarial Networks
ICLR 2021