Dr. Tu received his B.E. degree and Ph.D. degree from Tsinghua University, Beijing, China. He is currently a Postdoc working  at Scalable Energy-Efficient Architecture Lab (SEAL), Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA. His research interests include computer architecture, machine learning, brain-inspired computing, in-memory computing.

Wenqin Huangfu received his B.S. degree from Department of Electronic Engineering, Tsinghua University, in 2016. He started pursuing his Ph.D. degree from the Department of Electrical and Computer Engineering, University of California, Santa Barbara, under the supervision of Professor Yuan Xie in fall 2016. Wenqin’s research interests include hardware acceleration, non – volatile memory, novel computer architecture and design of energy efficient system. 

Nan Wu is currently a Ph.D. student under the supervision of Prof. Yuan Xie. She received her B.S. degree in 2016 from Department of Electronic Engineering at Tsinghua University, Beijing, China, and M.S. degree in 2018 from UC Santa Barbara. Her research interests include: (1) machine learning for computer architecture and systems, (2) deep learning and reinforcement learning algorithms and applications.

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.

Ling Liang received his B.S. degree from Beijing University of Posts and Telecommunications in 2015, and his M.S. degree from University of Southern California in 2017. He is currently pursuing the Ph.D. degree from the Department of Electrical and Computer Engineering, University of California, Santa Barbara. Ling’s research interests include tensor computing, neural network security and spiking neural networks.

Gushu Li is currently a Ph.D student at University of California, Santa Barbara since Fall 2017 supervised by Prof. Yuan Xie. He received B.E. in Electronic Engineering from Tsinghua University in 2015 and was a Ph.D student in Computer Science at the University of Chicago from 2015 to 2017.
His research interests are (1) quantum computing architecture and (2) processing-in-memory for emerging techniques.

Personal Website: sites.google.com/view/gushuli

Jilan Lin is currently pursuing his Ph.D student at UCSB starting from Fall 2018. He received the B.E. degree in Dept. of Electronic Engineering in Tsinghua University, Beijing, China. His research interests include: (1) Application-driven in-memory processing (2) Machine learning algorithms and related hardware acceleration.

Zhaodong Chen (in Chinese: 陈昭东) is a Ph.D. student at Scalable Energy-Efficient Architecture Lab (SEAL) at University of California, Santa Barbara.  His research interests lie in the intersection between Deep Learning and Computer Architecture.

Guyue is a Ph.D. student at ECE Department, UCSB, supervised by Prof. Yuan Xie and Prof. Yufei Ding. Previously, she received her B.E. from Tsinghua University in 2020. She was an exchange student at CS Dept., EPFL, in Spring 2019, and a visiting student at Cornell in Summer 2019. Her research interest is computer architecture.