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Yu Wang received the B.S. and Ph.D. (with honor) degrees from Tsinghua University, Beijing, in 2002 and 2007. He is currently a tenured professor with the Department of Electronic Engineering, Tsinghua University. His research interests include brain inspired computing, application specific hardware computing, parallel circuit analysis, and power/reliability aware system design methodology. He has received Best Paper Award in ASPDAC 2019, FPGA 2017, NVMSA 2017, ISVLSI 2012, and Best Poster Award in HEART 2012. He is a recipient of DAC under 40 innovator award (2018), IBM X10 Faculty Award (2010).
Accelerators, FPGA, and GPUs
Linear Algebra
Machine Learning, Deep Learning and Artificial Intelligence
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