Biography

Contact

Email: zixiaowang97@qq.com
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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

* denotes equal contribution.

[1] “On the Distributed Evaluation of Generative Models”, (arXiv)
[2] “MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations”, (arXiv) (code)

[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.

[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)

[J4] Wenqian Zhao, Lancheng Zou, Zixiao Wang, Xufeng Yao, Bei Yu “HAPE: Hardware-Aware LLM Pruning For Efficient On-Device Inference Optimization”, accepted by ACM Transactions on Design Automation of Electronic Systems (TODAES).
[J3] Wenqian Zhao, Shuo Yin, Chen Bai, Zixiao Wang, Bei Yu, “BAQE: Backend-Adaptive DNN Deployment via Synchronous Bayesian Quantization and Hardware Configuration Exploration”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
[J2] Guojin Chen, Zixiao Wang, Bei Yu, David Z. Pan, Martin D.F. Wong, “Ultra-Fast Source Mask Optimization via Conditional Discrete Diffusion”, accepted by 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)

TorchResist: An open-source differentiable photoresist simulator that is implemented with Pytorch.