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Mingzi WangPh.D. student Department of Computer Science and Engineering |
I'm a Ph.D. student at the Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), under the supervision of Prof. Bei Yu since Fall 2025. Previously, I received my B.S. in the School of Computer Science from Beijing University of Posts and Telecommunications in 2022. And I received my M.S. from Tsinghua University in 2025.
My research interests include:
[C6] Peng Xu, Mingzi Wang, Yapeng Li, Yuyang Ye, Tinghuan Chen, Tsung-Yi Ho, Bei Yu, "DiffSP: Differentiable Sequence Pair-based Analog Placement", in ACM/IEEE Design Automation Conference (DAC), Long Beach, Jul. 26–29, 2026.
[C5] Yapeng Li, Peng Xu, Mingzi Wang and Tinghuan Chen, "AlphaPlacer: Analog Placement Enhanced by Monte Carlo Tree Search", in ACM/IEEE Design Automation Conference (DAC), Long Beach, Jul. 26–29, 2026.
[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.