About Me

Postdoctoral Fellow · Tsinghua University

I am currently a Postdoctoral Fellow in the Department of Automation at Tsinghua University (advised by Prof. Jungong Han). Before that, I received my Ph.D. degree in Signal and Information Processing from Hefei University of Technology (advised by Prof. Richang Hong and Prof. Yang Wang). My primary research interests include computer vision, model compression and lightweight MLLMs, with an emphasis on knowledge distillation, generative AI and network quantization.

Selected Publications

Masked Attention Alignment for Data-Free Quantization of Vision Transformers

ICML · 2026

Selective Coupling of Decoupled Informative Regions: Masked Attention Alignment for Data-Free Quantization of Vision Transformers

Biao Qian, Yang Wang, Yong Wu, Jungong Han*

Asymmetric Text-Visual Pruning for Large Vision-Language Models

CVPR · 2026

Mostly Text, Smart Visuals: Asymmetric Text-Visual Pruning for Large Vision-Language Models

Sijie Li, Biao Qian, Jungong Han*

AI-T2I text-to-image synthesis method overview

IEEE T-MM · 2026

AI-T2I: Aggregating-and-Isolating Cross-Attention to Diffusion Models for Text-to-Image Synthesis

Shipeng Cao, Biao Qian*, Haipeng Liu, Yang Wang*, Meng Wang

GapSSG method overview

IEEE T-PAMI · 2024

Unpacking the Gap Box Against Data-Free Knowledge Distillation

Yang Wang, Biao Qian, Haipeng Liu, Yong Rui, Meng Wang*

Adaptive Data-Free Quantization method overview

CVPR · 2023

Adaptive Data-Free Quantization

Biao Qian, Yang Wang*, Richang Hong, Meng Wang

AdaSG method overview

AAAI · 2023

Rethinking Data-Free Quantization as a Zero-Sum Game

Biao Qian, Yang Wang*, Richang Hong, Meng Wang

Switchable Online Knowledge Distillation method overview

ECCV · 2022

Switchable Online Knowledge Distillation

Biao Qian, Yang Wang*, Hongzhi Yin, Richang Hong, Meng Wang

View all publications →