Meng Liu (刘猛)

Bio

Howdy! I am currently a 2nd year Ph.D. student in the Department of Computer Science & Engineering, Texas A&M University. My advisor is Prof. Shuiwang Ji, who leads the Data Integration, Visualization, and Exploration (DIVE) Laboratory. I obtained my bachelor’s degree from the Department of Electronic Engineering, Tsinghua University in 2019, advised by Prof. Liangrui Peng.

My research interests lie in machine learning and deep learning. I am currently working on graphs and molecules with machine learning.

News

04/2021
Our paper GraphEBM: Molecular Graph Generation with Energy-Based Models has been accepted to EBM Workshop at ICLR2021!
03/2021
DIG: Dive into Graphs is released! DIG provides a unified testbed for advanced graph deep learning tasks, such as graph generation, self-supervised learning, explainability, and 3D graphs.

Publications

Most recent publications on Google Scholar.
* indicates equal contribution.

GraphEBM: Molecular Graph Generation with Energy-Based Models

Meng Liu, Keqiang Yan, Bora Oztekin, and Shuiwang Ji

EBM Workshop at ICLR, 2021.

Paper Code Workshop Website

Towards Deeper Graph Neural Networks

Meng Liu, Hongyang Gao, and Shuiwang Ji

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.

Paper Code Literature collection

Services

Program Committee Member & Reviewer

Résumé

My résumé is available here.

• Texas A&M University Aug 2019 - now

  Ph.D. Student
  Advisor: Prof. Shuiwang Ji
  Computer Science & Engineering
• Owlii Inc. May 2018 - Aug 2018

  R&D Intern
  Mentor: Yi Xu
• Tsinghua University Aug 2015 - Jul 2019

  B.E. Student
  Advisor: Prof. Liangrui Peng
  Electronic Engineering