Guohao Li

PhD student in Computer Science

KAUST

DeepGCNs.org

Biography

Guohao Li obtained his BEng degree in Communication Engineering from Harbin Institute of Technology in 2015. In 2018, he received his Master degree in Communication and Information Systems from Chinese Academy of Science. He was a computer vision research intern at SenseTime. He is currently a PhD student in Computer Science at King Abdullah University of Science and Technology (KAUST). He is also a member of the Image and Video Understanding Laboratory (IVUL) in the Visual Computing Center (VCC), advised by Prof. Bernard Ghanem. His primary research interests are Computer Vision, Robotics and Deep Learning.

I am open to discussion or collaboration. I am also actively looking for an internship / a postdoc position. Please drop me an email guohao.li@kaust.edu.sa if you’re interested.

Interests

Computer Vision
Deep Learning
Robot Learning
Reinforcement Learning
Graph Convolutional Network
Automated Machine Learning

Education

PhD in CS, 2018-
King Abdullah University of Science and Technology
MSc in EE, 2015-2018
University of Chinese Academy of Science
Joint MSc in CS, 2015-2018
ShanghaiTech University
BEng in EE, 2011-2015
Harbin Institute of Technology

Updates

2021/05/08: Paper GNN1000 accepted at ICML’21. Code is available on Github
2021/04/07: I joined CVL at ETHz as a visiting researcher supervised by Prof. Fisher Yu
2021/04/05: Extension of Paper DeepGCNs accepted at TPAMI as a Regular Paper in the speical issue on Graphs in Vision and Pattern Analysis
2021/03/03: Paper PC-GCN accepted at CVPR’21. Code is available on Github
2021/01/05 I was selected as one of the winning students of Yearly Student Awards in CS program, CEMSE, KAUST
2020/10/26 AI-sports team won the first place in NEOM AI challenge (Entertainment track)
2020/08/01 I joined Intel ISL as a PhD research intern hosted by Dr. Vladlen Koltun & Dr. Matthias Müller
2020/06/13: Preprint of DeeperGCN is on arXiv. The code of experiments on OGB can be found on our Github Repo
2020/02/23: Paper SGAS accepted at CVPR’20. Code is available on Github Repo
2019/11/26: I was invited to give a talk about DeepGCNs and its follow-up works at NVIDIA GTC China 2019 (Dec. 16-19)
2019/10/12: Additional experiments of DeepGCNs on PPI and PartNet are available on our Github Pytorch Repo. The preprint of our journal extension is on arxiv now
2019/08/01: Paper DeepGCNs accepted as Oral at ICCV’19
2019/05/01: Paper CFN accepted as Oral at CVPRW’19, UAVVision’19
2019/04/30: Paper OIL accepted at RSS’19

Recent & Upcoming Talks

Sequential Greedy Architecture Search for CNN&GCN

Apr 21, 2020 6:15 PM

AI Tech Comments

DeepGCNs for Representation Learning on Graphs

Dec 9, 2019 6:15 PM

KAUST Conference AI (Best Spotlight Award), NeurIPS Meetup 2019, NVIDIA GTC China 2019, M2Lschool2021, Jiangmen Live Streaming (In Chinese)

Selected Publications

Training Graph Neural Networks with 1000 layers

Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun

June 2021 ICML’2021

Preprint PDF Code

DeepGCNs: Making GCNs Go as Deep as CNNs

Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali Thabet, Bernard Ghanem

April 2021 TPAMI’2021

Preprint PDF Code Slides Video

TF: Star Torch: Star

PU-GCN: Point Cloud Upsampling via Graph Convolutional Network

Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali Thabet, Bernard Ghanem

March 2021 CVPR’2021

Preprint PDF Code Video

DeeperGCN: All You Need to Train Deeper GCNs

Guohao Li, Chenxin Xiong, Ali Thabet, Bernard Ghanem

June 2020 arXiv’2020

Preprint PDF Code Slides Video

SGAS: Sequential Greedy Architecture Search

Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali Thabet, Bernard Ghanem

November 2019 CVPR’2020

Preprint PDF Code Slides Video

DeepGCNs: Can GCNs Go as Deep as CNNs?

Guohao Li, Matthias Müller, Ali Thabet, Bernard Ghanem

April 2019 ICCV’2019 Oral

Preprint PDF Code Slides Video

TF: Star Torch: Star

Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing

Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

April 2019 CVPRW’2019, UAVVison’2019, Oral

Preprint PDF Video

OIL: Observational Imitation Learning

Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

March 2018 RSS’2019

Preprint PDF Video

All Publications

Quickly discover relevant content by filtering publications.

Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun (2021). Training Graph Neural Networks with 1000 layers. ICML’2021.

Preprint PDF Code

Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali Thabet, Bernard Ghanem (2021). DeepGCNs: Making GCNs Go as Deep as CNNs. TPAMI’2021.

Preprint PDF Code Slides Video

TF: Star Torch: Star

Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali Thabet, Bernard Ghanem (2021). PU-GCN: Point Cloud Upsampling via Graph Convolutional Network. CVPR’2021.

Preprint PDF Code Video

Guohao Li, Chenxin Xiong, Ali Thabet, Bernard Ghanem (2020). DeeperGCN: All You Need to Train Deeper GCNs. arXiv’2020.

Preprint PDF Code Slides Video

Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali Thabet, Bernard Ghanem (2019). SGAS: Sequential Greedy Architecture Search. CVPR’2020.

Preprint PDF Code Slides Video

Guohao Li, Matthias Müller, Ali Thabet, Bernard Ghanem (2019). DeepGCNs: Can GCNs Go as Deep as CNNs?. ICCV’2019 Oral.

Preprint PDF Code Slides Video

TF: Star Torch: Star

Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem (2019). Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing. CVPRW’2019, UAVVison’2019, Oral.

Preprint PDF Video

Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem (2018). OIL: Observational Imitation Learning. RSS’2019.

Preprint PDF Video

Experience

Research Intern

Intel Intelligent Systems Lab

Aug 2020 – Mar 2021 Germany, Munich

Efficient Graph Neural Networks

Research Intern

SenseTime Research

Apr 2017 – Jul 2017 China, Shenzen

Autonomous Driving, Reinforcement Learning, Computer Vision

Research Intern

Unisound

Jul 2016 – Aug 2016 China, Shanghai

Natural Language Understanding, Natural Language Processing