Ph.D. since Fall 2017
M.S in Tsinghua University, China, 2017
B.S. in Tsinghua University, China, 2014
Excellent Thesis Award, Tsinghua University (top 2%), 2017
Richard Newton Young Student Fellow, 54th Design Automation Conference (DAC), 2017
National Scholarship, Tsinghua University (top 2%), 2016
Tianqi Tang received her B.S. degree in 2014 and her M.S. degree in 2017 from Department of Electronic Engineering in Tsinghua University, Beijing, China, and she is currently a Ph.D. student in UCSB under the supervision of Prof. Yuan Xie. Ms. Tang’s research mainly focuses on (1) Hardware Modeling and Domain Specific Accelerator Design (Project Site: http://mlpat.org/), (2) Processing-In-Memory and Non Volatile Memory. Before joining UCSB, she worked on neural network compression and quantization as an intern in Deephi (a start-up company now acquired by Xilinx) during her master program.