Scholar
Wang Mingzi
Google Scholar ID: wxlyC2MAAAAJ
The Chinese University of Hong Kong
Citations & Impact
Citations
29
H-index
3
i10-index
1
Publications
10
Co-authors
0
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - [C4] Weixiang Zhang, Shuzhao Xie, Chengwei Ren, Siyi Xie, Chen Tang, Shijia Ge, Mingzi Wang, Zhi Wang, “EVOS: Efficient Implicit Neural Training via EVOlutionary Selector”, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, Jun. 11–15, 2025.
- - [C3] Mingzi Wang, Yuan Meng, Chen Tang, Weixiang Zhang, Yijian Qin, Yang Yao, Yingxin Li, Tongtong Feng, Xin Wang, Xun Guan, Zhi Wang, Wenwu Zhu, “JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration”, in AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, Feb. 25–Mar. 04, 2025.
- - [C2] Weixiang Zhang, Shuzhao Xie, Chengwei Ren, Shijia Ge, Mingzi Wang, Zhi Wang, “Enhancing Implicit Neural Representations via Symmetric Power Transformation”, in AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, Feb. 25–Mar. 04, 2025.
- - [C1] An Guo, Zhichao Liu, Wentao Zheng, Yutong Zhang, Tianhui Jiao, Fangyuan Dong, Mingzi Wang, Shaochen Li, Zhican Zhang, Yuhui Shi, Xing Wang, Xin Si, Xin Wang, Wenwu Zhu, “A 28nm 244.45TOPS/W Winograd-Standard Fusion accelerator with Symmetric Hybrid Domain CIM Groups for Edge AI devices”, in IEEE ASSCC 2025.
- - [J2] Lancheng Zou, Shuo Yin, Mingjun Li, Mingzi Wang, Chen Bai, Wenqian Zhao, Bei Yu, “Oiso: Outlier-isolated Data Format for Low-bit Large Language Model Quantization”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.
- - [J1] Peng Xu*, Su Zheng*, Mingzi Wang, Ziyang Yu, Shixin Chen, Tinghuan Chen, Keren Zhu, Tsung-Yi Ho, Bei Yu, “Rank-DSE: Neural Pareto Comparator of Microarchitecture Design Space Exploration”, accepted by ACM Transactions on Design Automation of Electronic Systems (TODAES), 2025.
Research Experience
- Currently pursuing a Ph.D. at the Department of Computer Science and Engineering, The Chinese University of Hong Kong, conducting research in related fields.
Education
- - Ph.D., Department of Computer Science and Engineering, The Chinese University of Hong Kong, Supervisor: Prof. Bei Yu (Fall 2025 - present)
- - M.S., SIGS, Tsinghua University (2025)
- - B.S., School of Computer Science, Beijing University of Posts and Telecommunications (2022)
Background
- Research interests include: ML for EDA, Efficient AI, Design Space Exploration. Currently a Ph.D. student at the Department of Computer Science and Engineering, The Chinese University of Hong Kong.
Co-authors