Yunhe Wang

Diff-SSR: Diffusion Model with Structure-Modulated for Image Super-Resolution

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models

DSPO: Direct Semantic Preference Optimization for Real-World Image Super-Resolution

CBQ: Cross-Block Quantization for Large Language Models

Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Mixture of Lookup Experts

Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models

SlimLLM: Accurate Structured Pruning for Large Language Models

U-REPA: Aligning Diffusion U-Nets to ViTs

DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation

Multi-Granularity Semantic Revision for Large Language Model Distillation

SAN-Diff: Structure-aware noise for super-resolution diffusion model

LLM Data Selection and Utilization via Dynamic Bi-level Optimization

Empirical Study on Enhancing Efficiency in Masked Image Modeling Pre-training

Prompt-guided Visual Perception for Efficient Training-free Video LLM

Weak-to-Strong Enhanced Vision Model

GenVidBench: A Challenging Benchmark for Detecting AI-Generated Video