Publications

Selected peer-reviewed publications. A complete and up-to-date citation record is available on Google Scholar. Biao Qian denotes the site author; * denotes corresponding author.

Masked Attention Alignment for Data-Free Quantization of Vision Transformers
International Conference on Machine Learning · 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
IEEE/CVF Conference on Computer Vision and Pattern Recognition · 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 Transactions on Multimedia · 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 Transactions on Pattern Analysis and Machine Intelligence · 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
IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2023

Adaptive Data-Free Quantization

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

CVPR 2023, pp. 7960–7968.

AdaSG method overview
AAAI Conference on Artificial Intelligence · 2023

Rethinking Data-Free Quantization as a Zero-Sum Game

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

AAAI 2023, pp. 9489–9497.

Switchable Online Knowledge Distillation method overview
European Conference on Computer Vision · 2022

Switchable Online Knowledge Distillation

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

ECCV 2022, pp. 449–466.

Moving-Mobile-Network method overview
IEEE Transactions on Image Processing · 2021

Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition

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

IEEE T-IP, vol. 30, pp. 4894–4904.

Structure Matters diffusion method overview
IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2024

Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting

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

Graph contrastive learning method overview
IEEE Transactions on Circuits and Systems for Video Technology · 2024

Seeking False Hard Negatives for Graph Contrastive Learning

Xin Liu, Biao Qian, Haipeng Liu, Dan Guo, Yang Wang, Meng Wang

Coarse-to-fine lightweight meta-embedding for ID-based recommendations
Science China Information Sciences · 2025

Coarse-to-fine Lightweight Meta-embedding for ID-based Recommendations

Yang Wang, Haipeng Liu, Zeqian Yi, Biao Qian, Meng Wang

Fine-grained cross-modal fusion method overview
Chinese Journal of Electronics · 2023

Fine-grained Cross-modal Fusion based Refinement for Text-to-Image Synthesis

Haoran Sun, Yang Wang*, Haipeng Liu, Biao Qian, Meng Wang