About Me
Iām a fourth year Ph.D student from the College of information science and electronic engineering, Zhejiang University. My research interests include model compression (typically vector quantization) and edge accelerators.
Iām advised by Prof. Kejie Huang. I used to be a research intern at VIVO Mobile Communication. Currently, I am seeking internship and academic collaboration opportunities.
š„ News
- 2026.02: š One paper is accepted by CVPR 2026.
- 2026.01: š One paper is accepted by ICLR 2026.
- 2025.06: š ViM-VQ and SSVQ are accepted by ICCV 2025.
- 2024.12: š VQ4ViT is accepted by AAAI 2025.
- 2024.11: š MVQ is accepted by ASPLOS 2025.
š Publications
ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba
Juncan Deng, Shuaiting Li, Zeyu Wang, Kedong Xu, Hong Gu, Kejie Huang
- A vector quantization method that combines convex combination updates and incremental quantization.
SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting Code
Shuaiting Li, Juncan Deng, Chenxuan Wang, Kedong Xu, Rongtao Deng, Hong Gu, Haibin Shen, Kejie Huang
- A new Vector Quantization paradigm, simple but effective.
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers Code
Juncan Deng,Shuaiting Li, Zeyu Wang, Hong Gu, Kedong Xu, Kejie Huang
- A vector quantization method based on assignment learning.
MVQ: Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization
Shuaiting Li, Chengxuan Wang, Juncan Deng, Zeyu Wang, Zewen Ye, Zongsheng Wang, Haibin Shen, Kejie Huang
- A highly efficient HW-SW co-designed system for Vector Quantization.
š Educations
- 2022.09 - now, PhD student, College of information science and electronic engineering, Zhejiang University
š» Internships
- 2024.09 - 2025.06, Research intern at VIVO Mobile Communication, China.