Curriculum Vitae
Education and Experience
2025.06–Present Postdoctoral Fellow
Department of Automation, Tsinghua University, Beijing, China
2024.06–2025.04 Research Assistant
School of Computer Science and Information Engineering, Hefei University of Technology, China
2018.09–2024.06 Ph.D. in Signal and Information Processing
School of Computer Science and Information Engineering, Hefei University of Technology, China
2017.09–2018.06 Master in Signal and Information Processing
School of Computer Science and Information Engineering, Hefei University of Technology, China
2013.09–2017.06 Bachelor in Electronic Information Engineering
School of Computer Science and Information Engineering, Hefei University of Technology, China
Research Interests
Selected Publications
- Biao Qian, Yang Wang, Yong Wu, Jungong Han*. “Selective Coupling of Decoupled Informative Regions: Masked Attention Alignment for Data-Free Quantization of Vision Transformers.” International Conference on Machine Learning (ICML), 2026. (CCF A)
- Sijie Li, Biao Qian, Jungong Han*. “Mostly Text, Smart Visuals: Asymmetric Text-Visual Pruning for Large Vision-Language Models.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (CCF A)
- Shipeng Cao, Biao Qian*, Haipeng Liu, Yang Wang*, Meng Wang. “AI-T2I: Aggregating-and-Isolating Cross-Attention to Diffusion Models for Text-to-Image Synthesis.” IEEE Transactions on Multimedia, 2026. (CCF A, IF=8.4)
- Yang Wang, Biao Qian, Haipeng Liu, Yong Rui, Meng Wang*. “Unpacking the Gap Box Against Data-Free Knowledge Distillation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. (CCF A, IF=20.8)
- Biao Qian, Yang Wang*, Richang Hong, Meng Wang. “Adaptive Data-Free Quantization.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 7960–7968. (CCF A)
- Biao Qian, Yang Wang*, Richang Hong, Meng Wang. “Rethinking Data-Free Quantization as a Zero-Sum Game.” AAAI Conference on Artificial Intelligence (AAAI), 2023, pp. 9489–9497. (CCF A)
- Biao Qian, Yang Wang*, Hongzhi Yin, Richang Hong, Meng Wang. “Switchable Online Knowledge Distillation.” European Conference on Computer Vision (ECCV), 2022, pp. 449–466. (CCF B)
- Biao Qian, Yang Wang*, Richang Hong, Meng Wang, Ling Shao. “Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition.” IEEE Transactions on Image Processing, 2021. (CCF A, IF=10.8)
- Haipeng Liu, Yang Wang*, Biao Qian, Meng Wang, Yong Rui. “Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF A)
- Xin Liu, Biao Qian, Haipeng Liu, Dan Guo, Yang Wang, Meng Wang. “Seeking False Hard Negatives for Graph Contrastive Learning.” IEEE Transactions on Circuits and Systems for Video Technology, 2024. (CCF B, IF=11.1)
- Yang Wang, Haipeng Liu, Zeqian Yi, Biao Qian, Meng Wang. “Coarse-to-fine Lightweight Meta-embedding for ID-based Recommendations.” Science China Information Sciences, 2025. (CCF A, IF=7.6)
- Haoran Sun, Yang Wang*, Haipeng Liu, Biao Qian, Meng Wang. “Fine-grained Cross-modal Fusion based Refinement for Text-to-Image Synthesis.” Chinese Journal of Electronics, 2023.
Honors and Fundings
- Young Scientists Fund (C) from National Natural Science Foundation of China, Research on Key Lightweight Technologies for Efficient and Controllable Multimodal Large Models Oriented to Task Reliability, 2026
- General Program of the China Postdoctoral Science Foundation, Research on Trustworthy Lightweighting of Multimodal Large Language Models Driven by Attribution-Repair-Optimization Closed Loop, 2026
- Shuimu Tsinghua Scholar Program, Tsinghua University, 2025
Academic Service
Conference Reviewer: NeurIPS, ICML, ICLR, CVPR, ICCV, KDD, ECCV, AAAI, ACM MM, IJCAI, ICMR, EMNLP
Journal Reviewer: IEEE T-PAMI, IEEE T-IP, ACM TOIS, IEEE T-NNLS, IEEE T-CSVT, Computer Vision and Image Understanding, IEEE Transactions on Multimedia, ACM TOMM