Youzhi Luo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 28

Top Topics

Precision Recall

Graph Representations

Stochastic Optimization

Top Venues

Publications

Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
3D Molecular Geometry Analysis with 2D Graphs. SDM (2024)
Youzhi Luo, Chengkai Liu, Shuiwang Ji
Towards Symmetry-Aware Generation of Periodic Materials. NeurIPS (2023)
Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization. CoRR (2023)
Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction. ICML (2023)
Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules. CoRR (2023)
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 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
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR (2023)
Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization. CoRR (2023)
Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Automated Data Augmentations for Graph Classification. ICLR (2023)
Youzhi Luo, Chengkai Liu, Shuiwang Ji
Towards Symmetry-Aware Generation of Periodic Materials. CoRR (2023)
Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou
Learning Fair Graph Representations via Automated Data Augmentations. ICLR (2023)
Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
3D Molecular Geometry Analysis with 2D Graphs. CoRR (2023)
Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization. NeurIPS (2023)
Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction. CoRR (2023)
Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules. NeurIPS (2023)
Youzhi Luo, Shuiwang Ji
An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch. ICLR (2022)
Shuiwang Ji, Meng Liu, Yi Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Zhao Xu, Haiyang Yu
Frontiers of Graph Neural Networks with DIG. KDD (2022)
Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Generating 3D Molecules for Target Protein Binding. CoRR (2022)
Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Automated Data Augmentations for Graph Classification. CoRR (2022)
Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Generating 3D Molecules for Target Protein Binding. ICML (2022)
Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Zhao Xu, Haiyang Yu, Jingtun Zhang, Yi Liu, Keqiang Yan, Bora Oztekin, Haoran Liu, Xuan Zhang, Cong Fu, Shuiwang Ji
DIG: A Turnkey Library for Diving into Graph Deep Learning Research. CoRR (2021)
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
DIG: A Turnkey Library for Diving into Graph Deep Learning Research. J. Mach. Learn. Res. 22 (2021)
Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang
Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence. CoRR (2021)
Youzhi Luo, Keqiang Yan, Shuiwang Ji
GraphDF: A Discrete Flow Model for Molecular Graph Generation. 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. CoRR (2021)
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. CoRR (2021)
Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence. NeurIPS (2021)
Youzhi Luo, Keqiang Yan, Shuiwang Ji
GraphDF: A Discrete Flow Model for Molecular Graph Generation. CoRR (2021)
Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Shuiwang Ji
MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery. CoRR (2020)