Youzhi Luo, Ph.D. student Department of Computer Science & Engineering Texas A&M University 364 L.F. Peterson Building 435 Nagle Street College Station, TX 77843 E-mail: yzluo@tamu.edu Google Scholar

Short Biography

I am currently a third-year Ph.D. student in Department of Computer Science & Engineering, Texas A&M University. My advisor is Dr. Shuiwang Ji.

Research Interests

• Machine Learning

• Deep Generative Model

• Computational Chemistry

Education

• Ph.D., Computer Science, Texas A&M University, September 2019 - Present

• B.E., Automation, University of Science and Technology of China, September 2015 - July 2019

Preprints

• Zhao Xu*, Youzhi Luo*, Xuan Zhang, Xinyi Xu, Yaochen Xie, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
arXiv: 2110.01717, 2021
• Zhengyang Wang*, Meng Liu*, Youzhi Luo*, Zhao Xu*, Yaochen Xie*, Limei Wang*, Lei Cai*, and Shuiwang Ji (* equal contribution)
  
Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery
arXiv: 2012.01981, 2020

Publications

• Youzhi Luo, and Shuiwang Ji
  
An Autoregressive Flow Model for 3D Molecular Geometry Generation
The 10th International Conference on Learning Representations (ICLR), 2022
• 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 (* equal contribution)
  
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
Journal of Machine Learning Research (JMLR), 2021
• Qi Qi*, Youzhi Luo*, Zhao Xu*, Shuiwang Ji, and Tianbao Yang (* equal contribution)
  
Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence
The 35th Conference on Neural Information Processing Systems (NeurIPS), 2021
• Youzhi Luo, Keqiang Yan, and Shuiwang Ji
  
GraphDF: A Discrete Flow Model for Molecular Graph Generation
The 38th International Conference on Machine Learning (ICML), 2021
• Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji
Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks
NeurIPS 2021 AI for Science Workshop, 2021

Services

Conference Reviewer

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

• International Conference on Learning Representations (ICLR), 2022

• International Conference on Machine Learning (ICML), 2022

Teaching

Guest Lecturer

• Attention Mechanism, CSCE 636: Deep Learning, Texas A&M University, Fall 2021

• Attention Mechanism, BMI 6334: Deep Learning in Biomedical Informatics, UTHealth School of Biomedical Informatics, Fall 2021