Binwu Zhu, Ph.D. Department of Computer Science and Engineering The Chinese University of Hong Kong Supervisor: Professor Bei Yu

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

• Machine Learning in EDA

• Efficient EDA Algorithms

Publication

Conference Papers

• [C4] Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin Wong, “Efficient Design Rule Checking Script Generation via Key Information Extraction”, ACM/IEEE Workshop 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

• [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).

Projects

• OpenILT, an open-source inverse lithography technology platform.

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

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