Youzhi Luo
Short Biography
I am currently a fourth-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
Preprints
- Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Automated Data Augmentations for Graph Classification
arXiv: 2202.13248, 2022
- 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
Publications
- Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, and Shuiwang Ji
Generating 3D Molecules for Target Protein Binding
The 39th International Conference on Machine Learning (ICML), Long Talk, 2022
- 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
Bioinformatics, 2022
- 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
- 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
- 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
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
Conference on Neural Information Processing Systems (NeurIPS), 2022
AAAI Conference on Artificial Intelligence (AAAI), 2022
Learning on Graphs Conference (LOGS), 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