Binwu Zhu

According to our database, Binwu Zhu authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

L2O-ILT: Learning to Optimize Inverse Lithography Techniques.

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

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2024

The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models.

Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yun Liang, Yibo Lin, Jinwei Liu, Yi Liu, Guojie Luo, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Evangeline F. Y. Young, Bei Yu, Mingxuan Yuan, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou

CoRR, 2024

2023

DRC-SG 2.0: Efficient Design Rule Checking Script Generation via Key Information Extraction.

Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin D. F. Wong

ACM Trans. Design Autom. Electr. Syst., September, 2023

McPAT-Calib: A RISC-V BOOM Microarchitecture Power Modeling Framework.

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

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization.

Hao Geng, Tinghuan Chen, Yuzhe Ma, Binwu Zhu, Bei Yu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Efficient Design Rule Checking Script Generation via Key Information Extraction.

Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin D. F. Wong

Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

Context-Based Contrastive Learning for Scene Text Recognition.

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

McPAT-Calib: A Microarchitecture Power Modeling Framework for Modern CPUs.

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

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021