| From beginner to master: A survey for deep learning-based single-image super-resolution J Li, Z Pei, T Zeng arXiv e-prints, arXiv: 2109.14335, 2021 | 58 | 2021 |
| Physics-informed optical kernel regression using complex-valued neural fields G Chen, Z Pei, H Yang, Y Ma, B Yu, M Wong 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 8 | 2023 |
| A systematic survey of deep learning-based single-image super-resolution J Li, Z Pei, W Li, G Gao, L Wang, Y Wang, T Zeng ACM Computing Surveys 56 (10), 1-40, 2024 | 5 | 2024 |
| AlphaSyn: Logic synthesis optimization with efficient monte carlo tree search Z Pei, F Liu, Z He, G Chen, H Zheng, K Zhu, B Yu 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 5 | 2023 |
| BetterV: Controlled Verilog Generation with Discriminative Guidance PEI Zehua, H Zhen, M Yuan, Y Huang, B Yu Forty-first International Conference on Machine Learning, 0 | 4* | |
| Quantization via distillation and contrastive learning Z Pei, X Yao, W Zhao, B Yu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 3 | 2023 |
| SoLA: Solver-Layer Adaption of LLM for Better Logic Reasoning Y Zhang, HL Zhen, Z Pei, Y Lian, L Yin, M Yuan, B Yu arXiv preprint arXiv:2402.11903, 2024 | 1 | 2024 |
| Bit-Level Quantization for Efficient Layout Hotspot Detection Z Pei, W Zhao, Z He, B Yu 2023 International Symposium of Electronics Design Automation (ISEDA), 465-470, 2023 | 1 | 2023 |
| CBTune: Contextual Bandit Tuning for Logic Synthesis F Liu, Z Pei, Z Yu, H Zheng, Z He, T Chen, B Yu 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | | 2024 |
| LSTP: A Logic Synthesis Timing Predictor H Zheng, Z He, F Liu, Z Pei, B Yu 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC), 728-733, 2024 | | 2024 |
Bei YuThe Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
