Cao, Xiaochun
144 publications
NeurIPS
2025
Continual Model Merging Without Data: Dual Projections for Balancing Stability and Plasticity
ICLR
2025
Decoupled Graph Energy-Based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
IJCAI
2025
MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation
CVPR
2025
Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining
NeurIPS
2025
Towards Irreversible Attack: Fooling Scene Text Recognition via Multi-Population Coevolution Search
NeurIPS
2025
Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training
ECCV
2024
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios
NeurIPS
2024
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
ICML
2024
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-Tail Recognition
CVPR
2024
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
IJCAI
2024
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation
AAAI
2024
PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping
NeurIPS
2024
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
NeurIPS
2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning
ICML
2021
When All We Need Is a Piece of the Pie: A Generic Framework for Optimizing Two-Way Partial AUC
NeurIPS
2019
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment Against Negative Transfer
AAAI
2019
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin
IJCAI
2018
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces