Xiaoxiao Liang

Xiaoxiao Liang


Ph.D. candidate

Microelectronics Thrust

Hong Kong University of Science and Technology (Guangzhou)

xliang603[at]connect.hkust-gz.edu.cn

xliangak[at]connect.ust.hk

[CV] [Google Scholar]
About
I am a Ph.D. candidate at the Microelectronics Thrust of The Hong Kong University of Science and Technology (Guangzhou) , advised by Prof. Yuzhe Ma. I received my M.S. degree from the Hong Kong University of Science and Technology in 2021, advised by Prof. Xiaomeng Li and B.E. degree from Huazhong University of Science and Technology in 2020. My research interests are in the cross-disciplinary study of electronic design automation (EDA) and machine learning, including machine learning-aided VLSI design, and design for manufacturability.

Publications

  • Xiaoxiao Liang, Yang Luo, Bei Yu, Yuzhe Ma, “BEAM: Bidirectional MEEF-Driven Mask Optimization for Photonic Integrated Circuits”, IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC) 2026.

  • Xiaoxiao Liang, Benjamin C. He, Yuzhe Ma, “A Diffusion Model-enhanced Source Optimization for Fab Productivity”, SPIE Optics + Photonics.

  • Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma, “CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning”, IEEE/ACM Design Automation Conference (DAC) 2024.

  • Xiaoxiao Liang, Yikang Ouyang, Haoyu Yang, Bei Yu, Yuzhe Ma, “RL-OPC: Mask Optimization with Deep Reinforcement Learning”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).

  • Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li, “RSCFed: Random Sampling Consensus Federated Semi-supervised Learning”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022.

  • Su Zheng, Xiaoxiao Liang, Ziyang Yu, Yuzhe Ma, Bei Yu, Martin Wong, "Curvilinear Optical Proximity Correction via Cardinal Spline", IEEE/ACM Design Automation Conference (DAC) 2025.

  • Luo Yang, Xiaoxiao Liang, Yuzhe Ma, “Enabling Robust Inverse Lithography with Rigorous Multi-Objective Optimization”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2024.

  • Ziyang Yu, Su Zheng, Wenqian Zhao, Shuo Yin, Xiaoxiao Liangb>, Guojin Chen, Yuzhe Ma, Bei Yu, Martin DF Wong, "RuleLearner: OPC Rule Extraction From Inverse Lithography Technique Engine", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) 2024.

    • Awards
    ICCAD Student Scholar Program Grant
    ICCAD
    2024
    DAC Young Fellowship
    DAC
    2024
    Full Postgraduate Studentship
    HKUST(GZ)
    2022
    Excellent Student Scholarship
    HKUST
    2021
    Outstanding Graduate
    HUST
    2020
    Professional Service - Paper Review
    IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
    2024
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    2023, 2024
    IEEE Transactions on Parallel and Distributed Systems