Tianqi Tang

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

Contact Information

Room location: Ellison 1806

Short Bio

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.