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

Zheng Qu is currently a Ph.D. student working with Professor Yuan Xie in the University of California, Santa Barbara. He received his B.S. degree in 2018 from Department of Electronic Engineering at Tsinghua University, Beijing, China. Zheng’s research mainly focuses on (1) Energy efficient computing architecture and acceleration for machine learning applications, (2) Tensor application and hardware acceleration.

My name is Yuke Wang, a third-year Ph.D. in computer science at the University of California, Santa Barbara (UCSB), advised by Prof. Yufei Ding.  Before I come to UCSB, I got my B.E. in software engineering from the University of Electronic Science and Technology of China (UESTC).

At UCSB, I have been working on projects in software-hardware co-design for distance-related algorithms, such as KNN, KMeans. I am also interested in deep learning, especially graph neural network (GNN) optimization and acceleration on heterogeneous platforms, such as GPUs.

Pengfei Xu is a Ph.D. student at University of California, Santa Barbara under the supervision of Professor Yuan Xie and Professor Yufei Ding. He received his B.E. from Shanghai Jiao Tong University. His research interest includes deep learning, computer architecture, and brain-computer interface. 

Anbang Wu is a first-year Ph.D. student in the computer science department with a specialization in quantum computation at the University of California, Santa Barbara. Anbang received both his Master of Engineering degree and Bachelor of Engineering degree in Computer Science from Zhejiang University in China. He is interested in developing quantum computing algorithms and software that squeeze all the computational power out of near-term quantum computers. More specifically, his work examines how to compile quantum programs into efficient and noise-resilient hardware control instructions on specific quantum devices. Recently, he has become interested in quantum machine learning which can describe atypical data patterns that classical machine learning cannot.

Siqi Li is currently pursuing his Ph.D. degree in Electrical and Computer Engineering at University of California, Santa Barbara, supervised by Professor Yuan Xie and Professor Yufei Ding. His research interests include computer architecture and digital VLSI design. 

Keyi Yin is a first year Ph.D. at University of California, Santa Barbara, supervised by Prof. Yufei Ding. He received his B.S. degree in 2018 from University of Science and Technology of China. Keyi’s current research area is quantum computation.