Welcome to my home page! I am a PhD student working with Professor Leonidas Guibas in Stanford AI Lab (SAIL). My research interest is in the broad disciplines related to artificial intelligence, including deep learning and computer vision. I am particularly interested in deep learning for 3D environment understanding. I previously worked with Professor Bill Dally on efficient deep learning algorithms and hardware architecture.

Prior to coming to Stanford, I received my Bachelor's degree from Tsinghua University. I was an undergraduate exchange student at University of Toronto in my junior year. I previously interned at MSRA, NVIDIA and A9.com.


Efficient Sparse-Winograd Convolutional Neural Networks

Xingyu Liu, Jeff Pool, Song Han, William J. Dally
ICLR 2018
6th International Conference on Learning Representations, Vancouver, Canada

Exploring the Granularity of Sparsity in Convolutional Neural Networks

Huizi Mao, Song Han, Jeff Pool, Wenshuo Li, Xingyu Liu, Yu Wang, William J. Dally
CVPR 2017 Workshop
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops

EIE: Efficient Inference Engine on Compressed Deep Neural Network

Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally
ISCA 2016
ACM/IEEE 43rd Annual International Symposium on Computer Architecture, Seoul, Korea

RadixBoost: A Hardware Acceleration Structure for Scalable Radix Sort on Graphic Processors

Xingyu Liu, Shikai Li, Kuan Fang, Yufei Ni, Zonghui Li, Yangdong Deng
ISCAS 2015
2015 IEEE International Symposium on Circuits and Systems, Lisbon, Portugal

FastTree: A Hardware KD-tree Construction Acceleration Engine for Real-time Ray Tracing

Xingyu Liu, Yangdong Deng, Yufei Ni, Zonghui Li
DATE 2015
2015 Design, Automation & Test in Europe Conference & Exhibition, Grenoble, France


Ph.D. Candidate in Electrical Engineering, 2015 - now

M.S. in Computer Science, 2016 - now

B.Eng. in Microelectronics with Honors, 2011 - 2015

Undergraduate Exchange Program, Electrical and Computer Engineering, 2013


Research Intern, Starting June 2018

Research Intern, June 2017 - September 2017

Research Intern, June 2016 - September 2016

Research Intern, May 2015 - July 2015


Teaching Assistant, April 2018 - June 2018

Teaching Assistant, January 2018 - March 2018

Teaching Assistant, September 2017 - December 2017

Teaching Assistant, April 2017 - June 2017