Shao-Lun Huang

UniFast-HGR: Scalable and Efficient Maximal Correlation for Multimodal Models

LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis

On Theoretical Interpretations of Concept-Based In-Context Learning

InfoCLIP++: A Multimodal Learning Framework with Multi-Granular Information-Theoretic Alignment and Adaptive Fusion

Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration

A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning

PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting

Fast and Scalable Method for Efficient Multimodal Feature Extraction with Optimized Maximal Correlation