Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach.
Neural Networks, 2025
Decoupled Data Augmentation for Improving Image Classification.
CoRR, 2024
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Temporal Gradient Inversion Attacks with Robust Optimization.
CoRR, 2023
Towards Practical Edge Inference Attacks Against Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023
GraphCoCo: Graph Complementary Contrastive Learning.
CoRR, 2022
On Collective Robustness of Bagging Against Data Poisoning.
Proceedings of the International Conference on Machine Learning, 2022
Zero-Shot Scene Graph Generation with Knowledge Graph Completion.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Input-Specific Robustness Certification for Randomized Smoothing.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Association: Remind Your GAN not to Forget.
CoRR, 2020
A Framework of Randomized Selection Based Certified Defenses Against Data Poisoning Attacks.
CoRR, 2020