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.
GraphEBM: Molecular Graph Generation with Energy-Based Modelshas been accepted to EBM Workshop at ICLR2021!
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.
Towards Deeper Graph Neural Networks
Meng Liu, Hongyang Gao, and Shuiwang Ji
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.
Annual Conference on Neural Information Processing Systems (NeurIPS) 2021
International Conference on Machine Learning (ICML) 2021
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2021
International Conference on Learning Representation (ICLR) 2020, 2021
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
My résumé is available here.