Welcome to my home page! I am a Postdoctoral Fellow at the Robotics Institute of Carnegie Mellon University where I work with Professor Kris Kitani. My research interest is in the broad disciplines related to artificial intelligence, particularly in computer vision, deep learning and their applications to robotic manipulation and autonomous driving.

I received my Ph.D. from Stanford University where I was advised by Professor Jeannette Bohg in Interactive Perception and Robot Learning Lab (IPRL) and Stanford AI Lab (SAIL) (check out my Ph.D. thesis here). Prior to Stanford, I received my Bachelor's degree from Tsinghua University. I was an undergraduate exchange student at the ECE Department of University of Toronto. I previously interned at Google Brain Robotics, Adobe Research, Amazon A9, NVIDIA and Microsoft Research Asia.


KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects

Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige
CVPR 2020

MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences

Xingyu Liu, Mengyuan Yan, Jeannette Bohg
ICCV 2019 (Oral presentation, acceptance rate: 4.3%)

Learning Video Representations from Correspondence Proposals

Xingyu Liu, Joon-Young Lee, Hailin Jin
CVPR 2019 (Oral presentation, acceptance rate: 5.6%)

FlowNet3D: Learning Scene Flow in 3D Point Clouds

Xingyu Liu*, Charles R. Qi*, Leonidas J. Guibas
CVPR 2019

Efficient Sparse-Winograd Convolutional Neural Networks

Xingyu Liu, Jeff Pool, Song Han, William J. Dally

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

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

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

Xingyu Liu, Yangdong Deng, Yufei Ni, Zonghui Li
DATE 2015


Ph.D. in Electrical Engineering, 2015 - 2019
M.S. in Computer Science, 2016 - 2019
B.Eng. in Microelectronics with Honors, 2011 - 2015
Exchange Student, Electrical and Computer Engineering, 2013

Industry Experience

Research Intern, Jun 2019 - Dec 2019
Research Intern, Jun 2018 - Sep 2018
Research Intern, Jun 2017 - Sep 2017


Compute Architecture Team, Santa Clara, CA
Research Intern, Jun 2016 - Sep 2016


16-887: Special Topics in Geometry-based Methods in Vision
Guest Lecturer, Fall 2020

Teaching Assistant, Fall 2019

Teaching Assistant, Winter 2018

Teaching Assistant, Fall 2017


Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICML, CoRL, AAAI, WACV, ACCV
Journal Reviewer: IJCV, TIP, TCSVT, TVLSI