Bei Yu, Ph.D.
Affiliations: | Department of Computer Science and Engineering | The Chinese University of Hong Kong, Hong Kong, Hong Kong |
Area:
machine learning and deep learning with applications in VLSI computer aided design (CAD) and computer visionWebsite:
http://www.cse.cuhk.edu.hk/~byu/index.htmlGoogle:
"Bei Yu"Bio:
Bei Yu is currently an Assistant Professor at the Department of Computer Science and Engineering, The Chinese University of Hong Kong. He received the Ph.D degree from Electrical and Computer Engineering, University of Texas at Austin, USA in 2014, and the M.S. degree in Computer Science from Tsinghua University, China in 2010. His current research interests include machine learning and combinatorial algorithm with applications in VLSI computer aided design (CAD) and computer vision. He has served as TPC Chair of 1st ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), served in the program committees of DAC, ICCAD, DATE, ASPDAC, ISPD, the editorial boards of ACM Transactions on Design Automation of Electronic Systems (TODAES), Integration, the VLSI Journal, and IET Cyber-Physical Systems: Theory & Applications. He is Editor of IEEE TCCPS Newsletter.
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Publications
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| Ma Y, Zhong W, Hu S, et al. (2020) A Unified Framework for Simultaneous Layout Decomposition and Mask Optimization Ieee Transactions On Computer-Aided Design of Integrated Circuits and Systems. 1-1 |
| Zhang GL, Li B, Li M, et al. (2020) TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing Ieee Transactions On Computer-Aided Design of Integrated Circuits and Systems. 1-1 |
| Li X, Yu B, Chen J, et al. (2020) DSA guiding template assignment with multiple redundant via and dummy via insertion Integration. 70: 32-42 |
| Xu Q, Chen S, Geng H, et al. (2020) Fault tolerance in memristive crossbar-based neuromorphic computing systems Integration. 70: 70-79 |
| Xu X, Zhang X, Yu B, et al. (2019) DAC-SDC Low Power Object Detection Challenge for UAV Applications. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Geng H, Zhong W, Yang H, et al. (2019) SRAF Insertion via Supervised Dictionary Learning Ieee Transactions On Computer-Aided Design of Integrated Circuits and Systems. 1-1 |
| Yang H, Li S, Deng Z, et al. (2019) GAN-OPC: Mask Optimization with Lithography-guided Generative Adversarial Nets Ieee Transactions On Computer-Aided Design of Integrated Circuits and Systems. 1-1 |
| Ma Y, Roy S, Miao J, et al. (2019) Cross-Layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach Ieee Transactions On Computer-Aided Design of Integrated Circuits and Systems. 38: 2298-2311 |
| Li M, Yu B, Lin Y, et al. (2019) A Practical Split Manufacturing Framework for Trojan Prevention via Simultaneous Wire Lifting and Cell Insertion Ieee Transactions On Computer-Aided Design of Integrated Circuits and Systems. 38: 1585-1598 |
| Yang H, Su J, Zou Y, et al. (2019) Layout Hotspot Detection With Feature Tensor Generation and Deep Biased Learning Ieee Transactions On Computer-Aided Design of Integrated Circuits and Systems. 38: 1175-1187 |