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2020 – today
- 2024
[j4]Binwu Zhu
, Su Zheng, Ziyang Yu, Guojin Chen, Yuzhe Ma, Fan Yang, Bei Yu, Martin D. F. Wong:
L2O-ILT: Learning to Optimize Inverse Lithography Techniques. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(3): 944-955 (2024)- [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. DAC 2024: 133:1-133:6 - [c6]Xinyun Zhang, Su Zheng, Guojin Chen, Binwu Zhu, Hong Xu, Bei Yu:
Fracturing-aware Curvilinear ILT via Circular E-beam Mask Writer. DAC 2024: 134:1-134:6 - [i1]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:
The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models. CoRR abs/2403.07257 (2024) - 2023
- [j3]Hao Geng, Tinghuan Chen, Yuzhe Ma, Binwu Zhu, Bei Yu:
PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 178-189 (2023) - [j2]Jianwang Zhai, Chen Bai, Binwu Zhu, Yici Cai, Qiang Zhou, Bei Yu:
McPAT-Calib: A RISC-V BOOM Microarchitecture Power Modeling Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 243-256 (2023) - [j1]Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin D. F. Wong:
DRC-SG 2.0: Efficient Design Rule Checking Script Generation via Key Information Extraction. ACM Trans. Design Autom. Electr. Syst. 28(5): 80:1-80:18 (2023) - [c5]Su Zheng, Haoyu Yang, Binwu Zhu, Bei Yu, Martin D. F. Wong:
LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing. NeurIPS 2023 - 2022
- [c4]Xinyun Zhang, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, Bei Yu:
Context-Based Contrastive Learning for Scene Text Recognition. AAAI 2022: 3353-3361 - [c3]Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu, Martin D. F. Wong:
Efficient Design Rule Checking Script Generation via Key Information Extraction. MLCAD 2022: 77-82 - 2021
- [c2]Jianwang Zhai, Chen Bai, Binwu Zhu, Yici Cai, Qiang Zhou, Bei Yu:
McPAT-Calib: A Microarchitecture Power Modeling Framework for Modern CPUs. ICCAD 2021: 1-9 - [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. ICCAD 2021: 1-8
Coauthor Index
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