Weilun Feng

MS student, Institute of Computing Technology, Chinese Academy of Sciences

Joined

November 2023

Names

Weilun Feng (Preferred)

Emails

****@buaa.edu.cn (Confirmed)

****@gmail.com (Confirmed)

****@ict.ac.cn (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

MS student

Institute of Computing Technology, Chinese Academy of Sciences (ict.ac.cn)

2024 – Present

Undergrad student

Beijing University of Aeronautics and Astronautics (buaa.edu.cn)

2020 – 2024

Advisors, Relations & Conflicts

Coauthor

Chuanguang Yang

Present

Coauthor

Yifu Ding

Present

Coauthor

Haotong Qin

Present

Expertise

Knowledge Distillation

Present

Model Quantization

Present

Publications

Reinforcing Spatio-Temporal Graph Neural Networks with a Physics Reward Oracle
Hansheng Zeng, Yuqi Li, Chuanguang Yang, Weilun Feng, Zeyu Dong, Yao Lu, Yingli Tian, Hao Wu
- Submitted to ICLR 2026
- Readers: Everyone
Point-UQ: An Uncertainty-Quantification Paradigm for Point Cloud Few-Shot Class Incremental Learning
Xiangqi Li, Libo Huang, Jiarui Zhao, Weilun Feng, Chuanguang Yang, Zhulin An, Yongjun Xu
- ICLR 2026 Poster
- Readers: Everyone
Quantized Visual Geometry Grounded Transformer
Weilun Feng, Haotong Qin, Mingqiang Wu, Chuanguang Yang, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
- ICLR 2026 Poster
- Readers: Everyone
QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification
Weilun Feng, Chuanguang Yang, Haotong Qin, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
- ICLR 2026 Poster
- Readers: Everyone
$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
Weilun Feng, Haotong Qin, Chuanguang Yang, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An, Libo Huang, Michele Magno, Yongjun Xu
- NeurIPS 2025 poster
- Readers: Everyone
Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning
Xiangqi Li, Libo Huang, Zhulin An, Weilun Feng, Chuanguang Yang, Boyu Diao, Fei Wang, Yongjun Xu
- ICML 2025 poster
- Readers: Everyone
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno
- ICML 2025 poster
- Readers: Everyone
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno
- AAAI 2025
- Readers: Everyone
Relational Diffusion Distillation For Efficient Image Generation
Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu
- MM2024 Oral
- Readers: Everyone
Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector
Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu
- CVPR 2024
- Readers: Everyone

View all 13 publications

Co-Authors

View all 26 co-authors