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Zixiao Wang(王子啸), Ph.D. Candidate [CV] |
Biography
I am currently a Ph.D. candidate at the Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), under the supervision of Prof. Bei Yu and Prof. Farzan Farnia since Fall 2022. Previously, I received my M.Sc. in Computer Science and Technology and my B.Eng. in Automation with a second major in Economics from Tsinghua University.
I will join The Hong Kong University of Science and Technology (Guangzhou) in January 2027. I am recruiting highly self-motivated students for the Spring/Fall 2027 intake. Prospective students with interests in Design for Manufacturability (DFM), multi-physics simulation, and related EDA/AI topics are welcome to contact me.
Contact
Email: zixiaowang97@qq.com
Google Scholar
Github
Research Interest
Design for Manufacturability
Simulation within EDA
Hardware-efficient Machine Learning
Education
Ph.D. Computer Science and Engineering, The Chinese University of Hong Kong, Aug 2022 - present
M.Sc. Computer Science and Technology, Tsinghua University, Sept 2019 - June 2022
B.Eng. Automation, Tsinghua University, Sept 2015 - June 2019
B.A. Economics (Second Major), Tsinghua University, Sept 2016 - June 2019
Awards
Full Postgraduate Studentship, CUHK, 2022-2026
Outstanding Graduate of Computer Science and Technology, THU, 2022
Qi Hang Scholarship, THU, 2019
2nd Place Award in Technical Challenge (Team Vulcan), RoboCup, 2018
3rd Place Award in 1v1 Contest (Team Vulcan), RoboCup, 2018
Academician Ni Weidou, Scholarship Endowment Fund, THU, 2018
Zheng Geru Scholarship, THU, 2017
Publication
* denotes equal contribution.
Selected Preprint
[1] “On the Distributed Evaluation of Generative Models”, (arXiv)
[2] “MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations”, (arXiv) (code)
Conference papers
[C14] Leilei Jin, Haoyang Xu, Siyuan Liang, Zhen Zhuang, Zhou Hu, Zixiao Wang, Bei Yu, Rongmei Chen, Tsung-Yi Ho, “BSPDN-Elite: A Comprehensive Framework for Optimizing Timing, Power and Routing Resources in BSPDN Designs”, ACM/IEEE Design Automation Conference (DAC), Long Beach, Jul. 26–29, 2026.
[C13] Zixiao Wang, Jieya Zhou, Xinyun Zhang, Shoubo Hu, Farzan Farnia, Bei Yu, “DiffResist: Physics-Constrained Diffusion for Photoresist Modeling”, IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Verona, Italy, Apr. 20–22, 2026. (paper) (poster) (slides)
[C12] Zixiao Wang, Tianshu Hou, Chenghan Wang, Zhen Zhuang, Tsung-Yi Ho, Farzan Farnia, Bei Yu, “FastRW: An Efficient Random Walk Method for Steady-State Thermal Analysis”, IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Verona, Italy, Apr. 20–22, 2026. (paper) (poster) (slides) (code)
[C11] Wenbo Xu, Silin Chen, Yibo Huang, Xinyun Zhang, Zixiao Wang, Bei Yu, Ningmu Zou, “Node2Node: Node Adaptation with Transformer for Cross-Node Hotspot Detection”, IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Verona, Italy, Apr. 20–22, 2026. (paper)
[C10] Rongliang Fu, Libo Shen, Ziyi Wang, Zhengxing Lei, Zixiao Wang, Junying Huang, Bei Yu, Tsung-Yi Ho, “DCLOG: Don't Cares-based Logic Optimization using Pre-training Graph Neural Networks”, IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), Hong Kong, Jan. 19–22, 2026. (paper)
[C9] Xinyun Zhang*, Zixiao Wang*, Yurui Kuang, Bei Yu, “Video-based Visible-Event Cross-modal Person Re-identification for Edge AI Surveillance Systems”, IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), Hong Kong, Jan. 19–22, 2026. (paper) (slides)
[C8] Ziyang Yu, Peng Xu, Zixiao Wang, Binwu Zhu, Qipan Wang, Yibo Lin, Runsheng Wang, Bei Yu, Martin Wong, “SDM-PEB: Spatial-Depthwise Mamba for Enhanced Post-Exposure Bake Simulation”, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 22–25, 2025. (paper) (poster) (slides)
[C7] Zixiao Wang, Junwu Weng, Mengyuan Liu, Bei Yu, “FlexPose: Pose Distribution Adaptation with Limited Guidance”, AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, Feb. 25–Mar. 04, 2025. (paper) (poster)
[C6] Zixiao Wang, Jieya Zhou, Su Zheng, Shuo Yin, Kaichao Liang, Shoubo Hu, Xiao Chen, Bei Yu, “TorchResist: Open-source differentiable resist simulator”, SPIE Advanced Lithography + Patterning, San Jose, Feb. 23–27, 2025. (paper) (poster) (code)
[C5] Zixiao Wang*, Yunheng Shen*, Xufeng Yao, Wenqian Zhao, Yang Bai, Farzan Farnia, Bei Yu, “ChatPattern: Layout Pattern Customization via Natural Language”, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 23–27, 2024. (paper) (poster) (slides)
[C4] Yang Bai, Wenqian Zhao, Shuo Yin, Zixiao Wang, Bei Yu, “ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Large-Scale Transformers”, Empirical Methods in Natural Language Processing (EMNLP), Singapore, Dec. 06–10, 2023. (paper) (poster) (slides)
[C3] Zixiao Wang*, Yunheng Shen*, Wenqian Zhao, Yang Bai, Guojin Chen, Farzan Farnia, Bei Yu, “DiffPattern: Layout Pattern Generation via Discrete Diffusion”, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jul. 09–13, 2023. (paper) (poster) (slides)
[C2] Zixiao Wang, Junwu Weng, Chun Yuan, Jue Wang, “Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos”, AAAI Conference on Artificial Intelligence (AAAI, Oral), Washington, Feb. 7–14, 2023. (paper) (poster) (slides) (code)
[C1] Haijin Ding, Zixiao Wang, Rebing Wu, “Enhancing the security of multi-agent networked control systems using QKD based homomorphic encryption”, IEEE Conference on Decision and Control (CDC), Miami Beach, Dec. 17-19, 2018. (paper)
Journal papers
[J5] Zixiao Wang, Wenqian Zhao, Yunheng Shen, Yang Bai, Guojin Chen, Farzan Farnia, Bei Yu, “DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 44, no. 12, pp. 4679–4690, 2025. (paper)
[J4] Wenqian Zhao, Lancheng Zou, Zixiao Wang, Xufeng Yao, Bei Yu “HAPE: Hardware-Aware LLM Pruning For Efficient On-Device Inference Optimization”, ACM Transactions on Design Automation of Electronic Systems (TODAES), vol. 30, no. 04, pp. 61:1–61:18, 2025. (paper) (Editor's Pick)
[J3] Wenqian Zhao, Shuo Yin, Chen Bai, Zixiao Wang, Bei Yu, “BAQE: Backend-Adaptive DNN Deployment via Synchronous Bayesian Quantization and Hardware Configuration Exploration”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 44, no. 05, pp. 1915–1927, 2025. (TCAD). (paper)
[J2] Guojin Chen, Zixiao Wang, Bei Yu, David Z. Pan, Martin D.F. Wong, “Ultra-Fast Source Mask Optimization via Conditional Discrete Diffusion”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 43, no. 07, pp. 2140–2150, 2024. (paper)
[J1] Yang Bai, Xufeng Yao, Qi Sun, Wenqian Zhao, Shixin Chen, Zixiao Wang, Bei Yu, “GTCO: Graph and Tensor Co-Design for Transformer-based Image Recognition on Tensor Cores”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 43, no. 02, pp. 586–599, 2024. (paper)
Softwares
FastRW: GPU random-walk thermal solver and experiment harness for the FastRW / FasterRW algorithms (Apple Metal + C++17).
TorchResist: An open-source differentiable photoresist simulator that is implemented with Pytorch.
MoreauPruner: Robust pruning framework for large language models against weight perturbations.
Experience
Research Intern, Primarius Technologies, Shanghai, China, 2026.01-Present
Research Intern, Huawei Noah's Ark Lab, HongKong, China, 2024.08-2025.05
Research Intern, SenseTime, HongKong, China, 2023.04-2023.12
Research Intern, Tencent AI Lab, Shenzhen, China, 2020.10-2022.08
Research Intern, UBTECH Robotics, Beijing, China, 2017.09-2018.08
Teaching
CSCI3320, 2023-R2, Fundamentals of Machine Learning
ENGG2760A, 2023-R1, Probability for Engineers
CSCI5030, 2022-R2, Machine Learning Theory
ENGG2020, 2022-R1, Digital Logic and Systems