Shuai Zhang

Theoretical Analysis of Contrastive Learning under Imbalanced Data: From Training Dynamics to a Pruning Solution

A Theoretical Analysis of Mamba’s Training Dynamics: Filtering Relevant Features for Generalization in State Space Models

Regime-Aware Semi-Supervised Regression via Clustering-Gated Experts

Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees

When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers

Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation

Distribution Corrected Estimation via Adversarial Density Weighted Regression

Theoretical Analysis of Contrastive Learning in Vision-Language Model Pretraining: The Role of Synthetic Text Captions for Feature Alignment

CausalVE: Face Video Privacy Encryption via Causal Video Prediction

Visual Prompting Reimagined: The Power of Activation Prompts

WenXinGPT: A Multimodal Conversational Model for Enhancing Orthopedic Expert Consultations