Scholar
Kaisheng Ma
Google Scholar ID: VtDpVoEAAAAJ
Institute for Interdisciplinary Information Sciences, Tsinghua University
Citations & Impact
Citations
5,755
H-index
36
i10-index
69
Publications
20
Co-authors
9
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Recipient of numerous awards such as the 2015 HPCA Best Paper Award, 2016 IEEE MICRO Top Picks, 2017 ASP-DAC Best Paper Award, and 2018 EDAA Best Dissertation Award. Published several papers at top conferences, including 'Auxiliary Training: Towards Accurate and Robust Models' and 'Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation' at CVPR 2020, and 'SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models' at NeurIPS 2019.
Research Experience
- Leads the ARChip Lab, which conducts research from basic theory to practical application in artificial intelligence. The lab specializes in developing chip architectures for neural network computation and autonomous driving, employing a co-design philosophy that integrates software and hardware to optimize chip performance.
Education
- Ph.D. in Department of Computer Science and Engineering, The Pennsylvania State University.
Background
- Tenured Associate Professor in Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University. His research focuses on computer architecture, implanted devices, AI Algorithms Design, focusing on interpretation, robustness and compact model design.
