Xuan Yang is a Ph.D. student in the Department of Electrical Engineering, Stanford University. Currently she is working with Professor Mark Horowitz in Stanford VLSI Research Group. Her research interests lie in the area of computer architecture and systems, focusing on energy-efficient and high-performance acceleration for deep learning, computer vision based applications.
She also received a Master of Science degree at Stanford in 2014. Before coming to Stanford, She got Bachelor of Engineering degree in Mechatronic Engineering in Beijing Institute of Technology, Beijing, China, in July, 2012.
- Programming Heterogeneous Systems from an Image Processing DSL ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION 2017; 14 (3)
- TETRIS: Scalable and Efficient Neural Network Acceleration with 3D Memory ACM SIGPLAN NOTICES 2017; 52 (4): 751-764