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Chen Bai
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BOOM-Explorer: RISC-V BOOM microarchitecture design space exploration framework
C Bai, Q Sun, J Zhai, Y Ma, B Yu, MDF Wong
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
162021
Deep neural network hardware deployment optimization via advanced active learning
Q Sun, C Bai, H Geng, B Yu
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021
102021
Functionality matters in netlist representation learning
Z Wang, C Bai, Z He, G Zhang, Q Xu, TY Ho, B Yu, Y Huang
Proceedings of the 59th ACM/IEEE Design Automation Conference, 61-66, 2022
82022
Fast and efficient DNN deployment via deep Gaussian transfer learning
Q Sun, C Bai, T Chen, H Geng, X Zhang, Y Bai, B Yu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
82021
Graph Learning-Based Arithmetic Block Identification
Z He11, Z Wang11, C Bai, H Yang, B Yu
8*
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
62021
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
32022
2022 ICCAD CAD Contest Problem C: Microarchitecture Design Space Exploration
S Li, C Bai, X Wei, B Shi, YK Chen, Y Xie
2022 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-7, 2022
12022
Boosting VLSI Design Flow Parameter Tuning with Random Embedding and Multi-objective Trust-region Bayesian Optimization
S Zheng, H Geng, C Bai, B Yu, MDF Wong
ACM Transactions on Design Automation of Electronic Systems, 2023
2023
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