Youzhi Luo

According to our database, Youzhi Luo authored at least 21 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Geometry Informed Tokenization of Molecules for Language Model Generation.

Xiner Li, Limei Wang, Youzhi Luo, Carl Edwards, Shurui Gui, Yuchao Lin, Heng Ji, Shuiwang Ji

CoRR, 2024

3D Molecular Geometry Analysis with 2D Graphs.

Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Graph Structure Extrapolation for Out-of-Distribution Generalization.

Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.

Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji

CoRR, 2023

Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization.

Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji

CoRR, 2023

QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules.

Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Symmetry-Aware Generation of Periodic Materials.

Youzhi Luo, Chengkai Liu, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization.

Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction.

Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji

Proceedings of the International Conference on Machine Learning, 2023

Automated Data Augmentations for Graph Classification.

Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Fair Graph Representations via Automated Data Augmentations.

Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Frontiers of Graph Neural Networks with DIG.

Shuiwang Ji, Meng Liu, Yi Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Zhao Xu, Haiyang Yu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Generating 3D Molecules for Target Protein Binding.

Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji

Proceedings of the International Conference on Machine Learning, 2022

An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch.

Youzhi Luo, Shuiwang Ji

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

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, Shuiwang Ji

J. Mach. Learn. Res., 2021

Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs.

Zhao Xu, Youzhi Luo, Xuan Zhang, Xinyi Xu, Yaochen Xie, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji

CoRR, 2021

Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks.

Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji

CoRR, 2021

Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence.

Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang

CoRR, 2021

Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence.

Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GraphDF: A Discrete Flow Model for Molecular Graph Generation.

Youzhi Luo, Keqiang Yan, Shuiwang Ji

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery.

Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Shuiwang Ji

CoRR, 2020