Yuan Zhang

Ph.D. Candidate
Center on Frontiers of Computing Studies, Peking University

Biography

Yuan Zhang is a Ph.D. candidate at CFCS, Peking University, advised by Prof. Shanghang Zhang and Prof. Kuan Cheng. Previously, he received his M.Eng. degree from Peking University and B.Eng. degree from Hohai University. He used to intern at SenseTime Research, Alibaba (DAMO Academy), ByteDance (Seed Foundation Model), and UC Berkeley (BAIR).

His major research interests lie within efficient machine learning algorithms, like

Efficient AI (KD, Pruning, Quantization, Data Selection, Self-Play)
Multimodal Large Language Model

Publications

First-author: TPAMI ×1, ICML ×1, NeurIPS ×1, CVPR ×1, ACM MM ×1

J1FreeKD+: A Frequency Knowledge Distillation Framework for Dense Prediction
Yuan Zhang, Tao Huang, Gaole Dai, Jiaming Liu, Wenzhao Zheng, Jiwen Lu, Shanghang Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026.
PDF Bib Code
C1SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Yuan Zhang, ChunKai Fan, Junpeng Ma, and 7 more authors, Shanghang Zhang
International Conference on Machine Learning (ICML), 2025.
PDF Bib Code Panasonic Press
C2Unveiling the Tapestry of Consistency in Large Vision-Language Models
Yuan Zhang, Fei Xiao, Tao Huang, and 6 more authors, Haoyuan Guo
Advances in Neural Information Processing Systems (NeurIPS), 2024.
PDF Bib Code Video ByteDance Seed Press
C3FreeKD: Knowledge Distillation via Semantic Frequency Prompt
Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang
Computer Vision and Pattern Recognition (CVPR), 2024.
PDF Bib Code
C4Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty
Yuan Zhang, Weihua Chen, Yichen Lu, Tao Huang, Xiuyu Sun, Jian Cao
ACM International Conference on Multimedia (ACM MM), 2023.
PDF Bib Code Video
C5Masked Distillation with Receptive Tokens
Tao Huang*, Yuan Zhang*, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu
International Conference on Learning Representations (ICLR), 2023.
PDF Code Video
C6Distilling Cross-Modal Knowledge via Feature Disentanglement
Junhong Liu, Yuan Zhang, Tao Huang, Wenchao Xu, Renyu Yang
AAAI Conference on Artificial Intelligence (AAAI), 2025.
PDF Bib Code
C7MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders
Jiajun Cao, Yuan Zhang, Tao Huang, Ming Lu, Qizhe Zhang, Ruichuan An, Ningning Ma, Shanghang Zhang
Computer Vision and Pattern Recognition (CVPR), 2025.
PDF Bib Code
C8Knowledge Diffusion for Distillation
Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu
Advances in Neural Information Processing Systems (NeurIPS), 2023.
PDF Bib Code

Manuscripts

arXivSparseVLM+: Visual Token Sparsification with Improved Text-Visual Attention Pattern
Yuan Zhang, Junpeng Ma, Qizhe Zhang, Chun-Kai Fan, Wenzhao Zheng, Kuan Cheng, Jiwen Lu, Shanghang Zhang
ResearchGate preprint (2025).
PDF Bib Code
arXivDAMO-YOLO: A Report on Real-Time Object Detection Design
Xianzhe Xu*, Yiqi Jiang*, Weihua Chen*, Yilun Huang*, Yuan Zhang*, Xiuyu Sun
arXiv preprint arXiv:2211.15444 (2022).
PDF Bib Code Video