Shuigeng Zhou

GoR: A Unified and Extensible Generative Framework for Ordinal Regression

FedOpenMatch: Towards Semi-Supervised Federated Learning in Open-Set Environments

Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource

Powerful Independence Testing on Heterogeneous Federated Clients with Theoretical Guarantees

Conditional Independent Component Analysis for Estimating Causal Structure with Latent Variables

Revisiting Maximum Mean Discrepancy via Diffusion Behavior Policy in Offline RL: A Mode-Seeking Perspective

Predictable Scale (Part II) --- Farseer: A Refined Scaling Law in LLMs

UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition