Binwu Zhu
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Binwu Zhu, Ph.D. |
Biography
I am currently a Ph.D. candidate at the Department of Computer Science and Engineering under the supervision of Prof. Bei Yu. Before, I received my B.Eng. from Zhejiang University (ZJU) in 2020.
Contact
Email: bwzhu@cse.cuhk.edu.hk
Research Interest
My research focuses on the combination of artificial intelligence (AI) and electronic design automation (EDA), especially in the design for manufacturing (DFM) domain. I aim to propose customized deep learning methodologies for chip design to reduce workload for human beings.
Publication
Conference Papers
[C7] Xinyun Zhang*, Binwu Zhu*, Fangzhou Liu, Ziyi Wang, Peng Xu, Hong Xu, Bei Yu, “Disentangle, Align and Generalize: Learning A Timing Predictor from Different Technology Nodes”, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 23–27, 2024. (* represents equal contribution)
[C6] Xinyun Zhang, Su Zheng, Guojin Chen, Binwu Zhu, Hong Xu, Bei Yu, “Fracturing-aware Curvilinear ILT via Circular E-beam Mask Writer”, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 23–27, 2024.
[C5] Su Zheng, Haoyu Yang, Binwu Zhu, Bei Yu, Martin D.F. Wong, “LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing”, Neural Information Processing Systems (NeurIPS), New Orleans, Dec. 10–16, 2023.
[C4] Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin Wong, “Efficient Design Rule Checking Script Generation via Key Information Extraction”, ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD), Snowbird, Utah, Sep. 12–13, 2022. (Best Paper Candidate)
[C3] Xinyun Zhang , Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, Bei Yu, “Context-based contrastive learning for scene text recognition”, AAAI Conference on Artificial Intelligence (AAAI), 2022.
[C2] Jianwang Zhai, Chen Bai, Binwu Zhu, Yici Cai, Qiang Zhou, Bei Yu, “McPAT-Calib: A Microarchitecture Power Modeling Framework for Modern CPUs”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 1-4, 2021.
[C1] Binwu Zhu, Ran Chen, Xinyun Zhang, Fan Yang, Xuan Zeng, Bei Yu, Martin D.F. Wong, “Hotspot Detection via Multi-task Learning and Transformer Encoder”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 1-4, 2021.
Journal Papers
[J4] Binwu Zhu, Su Zheng, Ziyang Yu, Guojin Chen, Yuzhe Ma, Fang Yang, Bei Yu, Martin Wong, “L2O-ILT: Learning to Optimize Inverse Lithography Techniques”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
[J3] Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin Wong, “DRC-SG 2.0: Efficient Design Rule Checking Script Generation via Key Information Extraction”, accepted by ACM Transactions on Design Automation of Electronic Systems (TODAES)
[J2] Jianwang Zhai, Chen Bai, Binwu Zhu, Yici Cai, Qiang Zhou, Bei Yu, “McPAT-Calib: A RISC-V BOOM Microarchitecture Power Modeling Framework”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
[J1] Hao Geng, Tinghuan Chen, Yuzhe Ma, Binwu Zhu, Bei Yu, “PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
Education
Ph.D. Computer Science and Engineering, The Chinese University of Hong Kong, from Sept 2020
B.Eng. Information Engineering, Zhejiang University, Sept 2016 - July 2020
Experience
Research Assistant, CUHK, Nov 2019 - May 2020
Teaching
Discrete Mathematics for Engineers (ENGG2440A)
Principles of Programming Languages (CSCI3180)
Embedded System Development and Applications (CENG4480)
Principles of Computer Game Software (CSCI4120)
Efficient Computing of Deep Neural Networks (CMSC5743)
Selected Awards
Best Paper Candidate, MLCAD, 2022
Full Postgraduate Studentship, CUHK, 2020-2024
Provincial Scholarship, ZJU, 2019
Zhejiang Daily & Alibaba New Media Scholarship, ZJU, 2019
First-Class Scholarship for Outstanding Students, ZJU, 2019