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.

Liu Liu is currently a Ph.D. student working under the supervision of Professor Yuan Xie. After received his Master’s degree in Electrical and Computer Engineering from the University of California at Santa Barbara (UCSB), he joined the Department of Computer Science in 2016. Before his graduate study at UCSB, he received a Bachelor’s degree from the University of Electronic Science and Technology of China (UESTC) in 2013. His research interests include heterogeneous computer architecture, emerging non-volatile memory system design, hardware acceleration, and hardware security.  

Abanti Basak received her B.S.E. degree in Electrical Engineering from Princeton University in May 2016. She started as a Ph.D. student in the Department of Electrical and Computer Engineering at UCSB under the supervision of Professor Yuan Xie in fall 2016. Her research interests include novel computer architecture and the design of energy efficient systems. 

Since 2017, Bangyan Wang works in SEAL lab as a PhD student, advised by Prof. Yuan Xie. His current research area is architecture design for tensor process, especially for sparse tensor, low rank tensor analysis.

Boyuan Feng is currently a Ph.D. student at University of California, Santa Barbara since Fall 2017 supervised by Prof. Yufei Ding. He received his B.S. degree from Nanjing University in 2016 and his M.S. degree from Unversity of Wisconsin, Madison. His current research interests include: (1) efficient big data analysis; (2) robust and private deep learning.
 

Xinfeng Xie started the journey of pursuing his Ph.D. degree from Fall 2017 working with Prof. Yuan Xie in the University of California, Santa Barbara (UCSB). He received his B.S. degree from Peking University, Beijing, China in June 2017 prior to joining UCSB. His current research interests include domain-specific architecture designs for emerging applications and programming language supports for these architectures. 

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.