| Context-based contrastive learning for scene text recognition X Zhang, B Zhu, X Yao, Q Sun, R Li, B Yu Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3353-3361, 2022 | 63 | 2022 |
| PTPT: Physical design tool parameter tuning via multi-objective Bayesian optimization H Geng, T Chen, Y Ma, B Zhu, B Yu IEEE transactions on computer-aided design of integrated circuits and …, 2022 | 24 | 2022 |
| McPAT-Calib: A microarchitecture power modeling framework for modern CPUs J Zhai, C Bai, B Zhu, Y Cai, Q Zhou, B Yu 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 21 | 2021 |
| The dawn of ai-native eda: Promises and challenges of large circuit models L Chen, Y Chen, Z Chu, W Fang, TY Ho, Y Huang, S Khan, M Li, X Li, ... arXiv preprint arXiv:2403.07257, 2024 | 20 | 2024 |
| McPAT-Calib: A RISC-V BOOM microarchitecture power modeling framework J Zhai, C Bai, B Zhu, Y Cai, Q Zhou, B Yu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 18 | 2022 |
| Lithobench: Benchmarking ai computational lithography for semiconductor manufacturing S Zheng, H Yang, B Zhu, B Yu, M Wong Advances in Neural Information Processing Systems 36, 2024 | 15 | 2024 |
| L2o-ilt: Learning to optimize inverse lithography techniques B Zhu, S Zheng, Z Yu, G Chen, Y Ma, F Yang, B Yu, MDF Wong IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 | 14 | 2023 |
| Hotspot detection via multi-task learning and transformer encoder B Zhu, R Chen, X Zhang, F Yang, X Zeng, B Yu, MDF Wong 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-8, 2021 | 13 | 2021 |
| The dawn of ai-native eda: Opportunities and challenges of large circuit models L Chen, Y Chen, Z Chu, W Fang, TY Ho, R Huang, Y Huang, S Khan, M Li, ... arXiv preprint arXiv:2403.07257, 2024 | 5 | 2024 |
| Efficient design rule checking script generation via key information extraction B Zhu, X Zhang, Y Lin, B Yu, M Wong Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 77-82, 2022 | 3 | 2022 |
| Large circuit models: opportunities and challenges L Chen, Y Chen, Z Chu, W Fang, TY Ho, R Huang, Y Huang, S Khan, M Li, ... Science China Information Sciences 67 (10), 200402, 2024 | 2 | 2024 |
| Disentangle, align and generalize: Learning a timing predictor from different technology nodes X Zhang, B Zhu, F Liu, Z Wang, P Xu, H Xu, B Yu Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | 2 | 2024 |
| Fracturing-aware Curvilinear ILT via Circular E-beam Mask Writer X Zhang, S Zheng, G Chen, B Zhu, H Xu, B Yu Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | 1 | 2024 |
| DRC-SG 2.0: Efficient Design Rule Checking Script Generation via Key Information Extraction B Zhu, X Zhang, Y Lin, B Yu, M Wong ACM Transactions on Design Automation of Electronic Systems 28 (5), 1-18, 2023 | 1 | 2023 |
| Pre-Routing Timing Prediction Across Different Technology Nodes X Zhang, B Zhu, F Liu, J Jiang, Z Wang, P Xu, H Xu, B Yu IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024 | | 2024 |
| Learning-Driven Physical Verification B ZHU The Chinese University of Hong Kong, 2024 | | 2024 |
| McPAT-Calib: A Microarchitecture Power Modeling Framework for Modern CPUs CB Jianwang Zhai, B Zhu, Y Cai, Q Zhou, B Yu | | 2021 |
Bei YuThe Chinese University of Hong KongΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cse.cuhk.edu.hk