
Keyi Zhang
Ph.D. Student in Computer Science, admitted Autumn 2017
Bio
Keyi is a PhD student advised by Mark Horowitz. His current research interest is in agile hardware design, such as hardware generator and place and route algorithms. He received B.S. in Computer Science and Engineering from Bucknell University.
All Publications
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Learning in situ: a randomized experiment in video streaming
USENIX ASSOC. 2020: 495–511
View details for Web of Science ID 000570979600030
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fault: A Python Embedded Domain-Specific Language for Metaprogramming Portable Hardware Verification Components
International Conference on Computer Aided Verification
2020
View details for DOI 10.1007/978-3-030-53288-8_19
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Creating an Agile Hardware Design Flow
IEEE. 2020
View details for Web of Science ID 000628528400063
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A Framework for Adding Low-Overhead, Fine-Grained Power Domains to CGRAs
IEEE. 2020: 846–51
View details for Web of Science ID 000610549200156
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Online Model Distillation for Efficient Video Inference
IEEE COMPUTER SOC. 2019: 3572–81
View details for DOI 10.1109/ICCV.2019.00367
View details for Web of Science ID 000531438103073