About Me

Research Assistant

School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China

E-mail: hfutqian@gmail.com

GitHub: github.com/hfutqian

Google Scholar Profile: [Google Scholar]

Research Interests

Knowledge Distillation; Generative AI; Network Quantization; Model Compression; Computer Vision

2023.12-Present, Research Assistant, School of Computer Science and Information Engineering, Hefei University of Technology, China.
2018.09-2023.12, Ph.D. Candidate in Signal and Information Processing, School of Computer Science and Information Engineering, Hefei University of Technology, China.
2017.09-2018.06, Master Candidate in Signal and Information Processing, School of Computer Science and Information Engineering, Hefei University of Technology, China.
2013.09-2017.06, Bachelor of Engineering in Electronic Information Engineering, School of Computer Science and Information Engineering, Hefei University of Technology, China.

Unpacking the Gap Box Against Data-Free Knowledge Distillation.

Yang Wang, Biao Qian, Haipeng Liu, Yong Rui, Meng Wang*.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). 2024.
[Paper] [Code]

Adaptive Data-Free Quantization.

Biao Qian, Yang Wang*, Richang Hong, Meng Wang.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2023: 7960-7968.
[Paper] [Code] [BibTeX]

Rethinking Data-Free Quantization as a Zero-Sum Game.

Biao Qian, Yang Wang*, Richang Hong, Meng Wang.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023: 9489-9497.
[Paper] [Code] [BibTeX]

Switchable Online Knowledge Distillation.

Biao Qian, Yang Wang*, Hongzhi Yin, Richang Hong, Meng Wang.
European Conference on Computer Vision (ECCV). 2022: 449-466.
[Paper] [Code] [BibTeX]

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

Biao Qian, Yang Wang*, Richang Hong, Meng Wang, Ling Shao.
IEEE Transactions on Image Processing (T-IP), 2021, 30: 4894-4904.
[Paper] [Code] [BibTeX]

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

Haipeng Liu, Yang Wang*, Biao Qian, Meng Wang, Yong Rui.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2024.
[Code]

Seeking False Hard Negatives for Graph Contrastive Learning.

Xin Liu, Biao Qian, Haipeng Liu, Yang Wang, Meng Wang.
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT). 2024.
[Paper]

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

Haoran Sun, Yang Wang*, Haipeng Liu, Biao Qian, Meng Wang.
Chinese Journal of Electronics (2023).
[Paper] [Code] [BibTeX]

CVPR 2023 Poster Presentation of Accepted Paper (in person, June 2023)

Title: Adaptive Data-Free Quantization.
AAAI 2023 Oral Presentation of Accepted Paper (online, February 2023)

Machine Learning: Learning on the Edge & Model Compression

Title: Rethinking Data-Free Quantization as a Zero-Sum Game.
AI TIME Youth PhD Talk for Accepted Papers by ECCV 2022 (online, June 2022)

Title: Switchable Online Knowledge Distillation.

Video: https://b23.tv/G62WhP6

Reviewers

Conferences: CVPR, AAAI, ACM MM, IJCAI, ICMR, EMNLP, etc

Journals: TPAMI, TIP, TOIS, TNNLS, TCSVT, CVIU, TMM, TOMM, etc.