2016.9-2020.7 浙江大学 信息工程 学士

2020.8-2024.7 香港中文大学 计算机科学与工程 博士（导师：Bei Yu & Martin D.F Wong）

• 本科生课程：《计算机科学基础I》——点击访问课程网站

• 公开课：《集成电路设计方法学与EDA》

参与《AI EDA》书籍的《工艺模型EDA的智能化》章节编写，等待出版！

• 计算光刻与掩膜优化

• 芯片的可制造性设计

• 大模型辅助芯片验证

• 长鑫存储委托开发项目，2025-2027

谷歌学术主页：https://scholar.google.com/citations?user=jzigVIgAAAAJ&hl=en

[20] INN-ILT: Inverse Lithography Technique via Invertible Neural Network,

Binwu Zhu, Siliang Fei, Bei Yu. TCAD, 2026（祝贺一年级博士生费思量的本科毕设被 TCAD 接收）

[19] From Contrastive to Generative Alignment: Large-Scale Hierarchical Multi-Modal Pre-training for Hotspot Detection,

Xinyun Zhang, Yuyang Chen, Yiwen Wu, Su Zheng, Ran Chen, Min Li, Hao Geng, Binwu Zhu, Mingxuan Yuan, Bei Yu. TCAD, 2026

[18] You Only Need Non-Hotspot: An Unsupervised Training-Free Method for Layout Hotspot Detection,

Silin Chen, Kangjian Di, Yibo Huang, Binwu Zhu, Ningmu Zou. TODAES, 2025

[17] Masked Layout Modeling Advances Hotspot Detection,

Binwu Zhu, Zhengzhou Gu, Jinbin Deng, Yuzhe Ma. ISEDA, 2025

[16] Efficient SRAF Generation via Diffusion Models,

Minjie Bi, Yang Luo, Xiaoxiao Liang, Zhengzhou Gu, Jinbin Deng, Binwu Zhu, Yuzhe Ma. ISEDA, 2025

[15] Bridging Hotspot Detection and Mask Optimization via Domain-Crossing Masked Layout Modeling,

Binwu Zhu, Su Zheng, Yuzhe Ma, Bei Yu, Martin Wong. TODAES, 2025

[14] SDM-PEB: Spatial-Depthwise Mamba for Enhanced Post-Exposure Bake Simulation,

Ziyang Yu, Peng Xu, Zixiao Wang, Binwu Zhu, Qipan Wang, Yibo Lin, Runsheng Wang, Bei Yu, Martin Wong. DAC, 2025

[13] Pre-Routing Timing Prediction Across Different Technology Nodes,

Xinyun Zhang*, Binwu Zhu*, Fangzhou Liu, ZiyiWang, Peng Xu, Hong Xu, Bei Yu. TCAD, 2025

[12] Large circuit models: opportunities and challenges,

Lei Chen, et al. Science China Information Sciences, 2024

[11] L2O-ILT: Learning to Optimize Inverse Lithography Technique,

Binwu Zhu, Su Zheng, Ziyang Yu, Guojin Chen, Yuzhe Ma, Fan Yang, Bei Yu, Martin D.F. Wong. TCAD, 2024

[10] Disentangle, Align and Generalize: Learning A Timing Predictor from Different Technology Nodes,

Xinyun Zhang*, Binwu Zhu*, Fangzhou Liu, Ziyi Wang, Peng Xu, Hong Xu, Bei Yu. DAC, 2024

[9] Fracturing-aware Curvilinear ILT via Circular E-beam Mask Writer,

Xinyun Zhang, Su Zheng, Guojin Chen, Binwu Zhu, Hong Xu, Bei Yu. DAC, 2024

[8] DRC-SG 2.0: Efficient Design Rule Checking Script Generation via Key Information Extraction,

Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin Wong. TODAES, 2023

[7] LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing,

Su Zheng, Haoyu Yang, Binwu Zhu, Bei Yu, Martin D. F. Wong. NeurIPS, 2023

[6] McPAT-Calib: A RISC-V BOOM Microarchitecture Power Modeling Framework,

Jianwang Zhai, Chen Bai, Binwu Zhu, Yici Cai, Qiang Zhou, Bei Yu. TCAD, 2023

[5] PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization,

Hao Geng, Tinghuan Chen, Yuzhe Ma, Binwu Zhu, Bei Yu. TCAD, 2023

[4] Efficient Design Rule Checking Script Generation via Key Information Extraction,

Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin Wong. MLCAD, 2022 (Best Paper Award Nomination)

[3] Context-based Contrastive Learning for Scene Text Recognition,

Xinyun Zhang, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, Bei Yu. AAAI, 2022

[2] Hotspot Detection via Multi-task Learning and Transformer Encoder,

Binwu Zhu, Ran Chen, Xinyun Zhang, Fan Yang, Xuan Zeng, Bei Yu, Martin D. F. Wong. ICCAD, 2021

[1] McPAT-Calib: A Microarchitecture Power Modeling Framework for Modern CPUs,

Jianwang Zhai, Chen Bai, Binwu Zhu, Yici Cai, Qiang Zhou, Bei Yu. ICCAD, 2021

• ASP-DAC程序委员会成员，Session Chair

• GLSVLSI程序委员会成员

• EDA2标准工作组成员

• 江苏省集成电路学会微纳电子学专业委员会成员

• 2022年MLCAD最佳论文提名奖

• 2025年bevictor伟德官网华为紫金青年学者

• 2025年EDA2最佳博士学位论文奖

• 2025年江苏省双创博士

• 2025-12 祝贺费思量的本科毕设被EDA顶刊TCAD接收

• 2025-11 祝贺章策、肖俊、韩林袁获得EDA精英挑战赛三等奖

• 2025-11 祝贺黄世麒、翟长鑫、付永奇获得EDA精英挑战赛三等奖

长期欢迎对本研究方向感兴趣的本科生和硕士生。