Dongsheng Zuo

Dongsheng Zuo (左东昇)


Postdoctoral Fellow

Department of Computer Science & Engineering

The Chinese University of Hong Kong

dzuo[at]cuhk.edu.hk

dszuo[at]cse.cuhk.edu.hk

[CV] [Google Scholar]
About
I am a Postdoctoral Fellow at the Department of Computer Science & Engineering of The Chinese University of Hong Kong, hosted by Prof. Qiang Xu. I received my Ph.D. degree from The Hong Kong University of Science and Technology (Guangzhou) in 2026, advised by Prof. Yuzhe Ma.
My research sits at the intersection of electronic design automation and machine learning, and runs in both directions — using AI to design better chips, and designing better chips for AI.
  • Machine learning for electronic design automation
  • LLM agents for chip design automation
  • Emerging architectures for efficient LLM inference
News
  • 09/2026: Three papers accepted by ASP-DAC 2027.
  • 07/2026: One paper accepted by TODAES.
  • 07/2026: One paper accepted by ICCAD 2026.
  • 12/2024: One paper accepted by TODAES.
  • 06/2024: One paper accepted by ICCAD 2024.
  • 02/2023: One paper accepted by DAC 2023.
Education
Ph.D. in Microelectronics
The Hong Kong University of Science and Technology (Guangzhou)
Sep. 2022 - Jul. 2026
M.S. in Electronic Engineering
The Hong Kong University of Science and Technology
Sep. 2021 - Jul. 2022
B.E. in Microelectronics (Major)
B.E. in Data Science and Big Data Technology (Minor)
Harbin Institute of Technology
Sep. 2017 - Jul. 2021
Experience
Postdoctoral Fellow
The Chinese University of Hong Kong
Jun. 2026 - Present
Cross Campus Study
The Hong Kong University of Science and Technology
Jan. 2025 - Aug. 2025
Intern
Huawei Noah’s Ark Lab
Jun. 2023 - Dec. 2023
Intern
NVIDIA Corporation
Mar. 2022 - Jul. 2022
Intern
Cambricon (寒武纪) Technologies Co., Ltd.
Jun. 2021 - Aug. 2021
Intern
Tensorchip (千芯科技) Technologies Co., Ltd.
Jan. 2021 - Apr. 2021
Research Assistant
University of Florida
Jun. 2020 - Aug. 2020
Publications
First-Authored
ASP-DAC2027
GA2-CT: GPU-Accelerated Genetic Algorithm for Low-Power Compression-Tree Rewiring
Dongsheng Zuo, Rui Qiu, Qiang Xu
Asia and South Pacific Design Automation Conference, Tokyo, Japan, Jan. 2027
TODAES2026
PrefixAgent: An LLM-Powered Design Framework for Efficient Prefix Adder Optimization
Dongsheng Zuo, Jiadong Zhu, Yang Luo, Yuzhe Ma
ACM Transactions on Design Automation of Electronic Systems, 2026
arXiv
ICCAD2026
TAP-MAC: Low-Power Optimization of Multipliers and Multiply-Accumulators via Topology-Aware Power Modeling
Dongsheng Zuo, Yang Luo, Jiadong Zhu, Yuzhe Ma
IEEE/ACM International Conference on Computer-Aided Design, San Jose, Nov. 2026
TODAES2025
RL-MUL 2.0: Multiplier Design Optimization with Parallel Deep Reinforcement Learning and Space Reduction
Dongsheng Zuo, Jiadong Zhu, Yikang Ouyang, Yuzhe Ma
ACM Transactions on Design Automation of Electronic Systems, 2025
arXivACM
ICCAD2024
UFO-MAC: A Unified Framework for Optimization of High-Performance Multipliers and Multiply-Accumulators
Dongsheng Zuo, Jiadong Zhu, Chenglin Li, Yuzhe Ma
ACM/IEEE International Conference on Computer-Aided Design, Newark, Oct. 2024
arXiv
DAC2023
RL-MUL: Multiplier Design Optimization with Deep Reinforcement Learning
Dongsheng Zuo, Yikang Ouyang, Yuzhe Ma
ACM/IEEE Design Automation Conference, San Francisco, Jul. 2023
IEEE
Co-Authored
ASP-DAC2027
HINT: Toward an Executable Hardware-Intent Intermediate Representation Layer for LLM-Driven RTL Generation
Tairan Cheng, Yi Liu, Dongsheng Zuo, Zhengyuan Shi, Hongji Zhang, Xiangfei Hu, Maoshuo He, Hao Yan, Qiang Xu
Asia and South Pacific Design Automation Conference, Tokyo, Japan, Jan. 2027
ASP-DAC2027
RT-DRC: Accelerating Design Rule Checking Using GPU Ray-Tracing Cores
Weihao Wang, Dongsheng Zuo, Xiaoxiao Liang, Hongyuan Liu, Yuzhe Ma
Asia and South Pacific Design Automation Conference, Tokyo, Japan, Jan. 2027
ICCD2026
ROOT: Trajectory-Guided RTL Optimization via Imitation Learning from Synthesis-Selected Rewriting
Kexin Chen, Yi Liu, Dongsheng Zuo, Xuhang Wang, Qiang Xu, Gang Chen
IEEE International Conference on Computer Design, Hong Kong, Nov. 2026
MLCAD2026
Retrieve, Schedule, Reflect: LLM Agents for Chip QoR Optimization
Yikang Ouyang, Yang Luo, Dongsheng Zuo, Yuzhe Ma
ACM/IEEE International Symposium on Machine Learning for CAD, Jeju, Sep. 2026
IEDM2025
Monolithic 3D Integration of MoS2 eDRAM and RRAM for Analog In-Memory Attention Computing
Rui Qiu, Guoyun Gao, Zhiyuan Du, Ni Yang, Zefan Li, Dongsheng Zuo, Yunwei Tong, Peiyi He, Hangming Zhang, Hao Jiang, Lain-Jong Li, Han Wang, Can Li
IEEE International Electron Devices Meeting, San Francisco, Dec. 2025
IEEE
ICLR2025
Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
Zhihai Wang, Jie Wang, Xilin Xia, Dongsheng Zuo, Lei Chen, Yuzhe Ma, Jianye HAO, Mingxuan Yuan, Feng Wu
International Conference on Learning Representations, Singapore, Apr. 2025
OpenReview
ASP-DAC2025
A Holistic FPGA Architecture Exploration Framework for Deep Learning Acceleration
Jiadong Zhu, Dongsheng Zuo, Yuzhe Ma
Asia and South Pacific Design Automation Conference, Tokyo, Japan, Jan. 2025
ACM
ASP-DAC2025
SMART-GPO: Gate-Level Sensitivity Measurement with Accurate Estimation for Glitch Power OptimizationBest Paper Award Nomination
Yikang Ouyang, Yuchao Wu, Dongsheng Zuo, Subhendu Roy, Tinghuan Chen, Zhiyao Xie, and Yuzhe Ma
Asia and South Pacific Design Automation Conference, Tokyo, Japan, Jan. 2025
ACM
ICML2024
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
Zhihai Wang, Jie Wang, Dongsheng Zuo, Ji Yunjie, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu
International Conference on Machine Learning, Vienna, Austria, Jul. 2024
PMLROpenReview
DAC2024
E-Syn: E-Graph Rewriting with Technology-Aware Cost Functions for Logic Synthesis
Chen Chen, Guangyu Hu, Dongsheng Zuo, Cunxi Yu, Yuzhe Ma, Hongce Zhang
ACM/IEEE Design Automation Conference, San Francisco, Jun. 2024
arXiv
MLCAD2023
ASAP: Accurate Synthesis Analysis and Prediction with Multi-task LearningBest Paper Award
Yikang Ouyang, Sicheng Li, Dongsheng Zuo, Hanwei Fan, Yuzhe Ma
ACM/IEEE Workshop on Machine Learning for CAD, Utah, Sep. 2023
IEEE