Howdy! I am currently a 3rd 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 are deep learning and machine learning. Specifically, I am currently working on (1) deep learning on graphs and molecules, and (2) generative energy-based models.
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
Meng Liu*, Youzhi Luo*, Limei Wang*, Yaochen Xie*, Hao Yuan*, Shurui Gui*, Haiyang Yu*, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora Oztekin, Xuan Zhang, and Shuiwang Ji
Journal of Machine Learning Research (JMLR), 2021.
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.
Advanced graph and sequence neural networks for molecular property prediction and drug discovery
Zhengyang Wang*, Meng Liu*, Youzhi Luo*, Zhao Xu*, Yaochen Xie*, Limei Wang*, Lei Cai*, and Shuiwang Ji
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, 2022
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
NeurIPS Workshop AI4Science 2021
My résumé is available here.