Youzhi Luo - RankMe

36 papers A* 14A 1Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PRISM: A Unified Framework for Post-Training LLMs Without Verifiable Rewards. CoRR Mukesh Ghimire, Aosong Feng, Liwen You, Youzhi Luo, Fang Liu, Xuan Zhu
2025	J	`jnl`	Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. Found. Trends Mach. Learn. 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, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, 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
2025	A*	`conf`	Geometry Informed Tokenization of Molecules for Language Model Generation. ICML Xiner Li, Limei Wang, Youzhi Luo, Carl Edwards, Shurui Gui, Yuchao Lin, Heng Ji, Shuiwang Ji
2025	A*	`conf`	Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation. AAAI Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min
2024	A	`conf`	3D Molecular Geometry Analysis with 2D Graphs. SDM Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
2024	J	`jnl`	Geometry Informed Tokenization of Molecules for Language Model Generation. CoRR Xiner Li, Limei Wang, Youzhi Luo, Carl Edwards, Shurui Gui, Yuchao Lin, Heng Ji, Shuiwang Ji
2024	A*	`conf`	Graph Structure Extrapolation for Out-of-Distribution Generalization. ICML Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji
2024	J	`jnl`	Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation. CoRR Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min
2023	J	`jnl`	3D Molecular Geometry Analysis with 2D Graphs. CoRR Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
2023	J	`jnl`	Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR 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
2023	A*	`conf`	Automated Data Augmentations for Graph Classification. ICLR Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
2023	A*	`conf`	Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction. ICML Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji
2023	J	`jnl`	Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction. CoRR Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji
2023	J	`jnl`	Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization. CoRR Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji
2023	A*	`conf`	Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization. NeurIPS Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji
2023	J	`jnl`	Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization. CoRR Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji
2023	A*	`conf`	Learning Fair Graph Representations via Automated Data Augmentations. ICLR Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou
2023	A*	`conf`	QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules. NeurIPS Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2023	J	`jnl`	QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules. CoRR Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2023	A*	`conf`	Towards Symmetry-Aware Generation of Periodic Materials. NeurIPS Youzhi Luo, Chengkai Liu, Shuiwang Ji
2023	J	`jnl`	Towards Symmetry-Aware Generation of Periodic Materials. CoRR Youzhi Luo, Chengkai Liu, Shuiwang Ji
2022	J	`jnl`	Advanced graph and sequence neural networks for molecular property prediction and drug discovery. Bioinform. Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Qi Qi, Zhuoning Yuan, Tianbao Yang, Shuiwang Ji
2022	A*	`conf`	An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch. ICLR Youzhi Luo, Shuiwang Ji
2022	J	`jnl`	Automated Data Augmentations for Graph Classification. CoRR Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
2022	A*	`conf`	Frontiers of Graph Neural Networks with DIG. KDD Shuiwang Ji, Meng Liu, Yi Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Zhao Xu, Haiyang Yu
2022	A*	`conf`	Generating 3D Molecules for Target Protein Binding. ICML Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
2022	J	`jnl`	Generating 3D Molecules for Target Protein Binding. CoRR Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
2021	J	`jnl`	DIG: A Turnkey Library for Diving into Graph Deep Learning Research. CoRR 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
2021	J	`jnl`	DIG: A Turnkey Library for Diving into Graph Deep Learning Research. J. Mach. Learn. Res. 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
2021	J	`jnl`	Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks. CoRR Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji
2021	A*	`conf`	GraphDF: A Discrete Flow Model for Molecular Graph Generation. ICML Youzhi Luo, Keqiang Yan, Shuiwang Ji
2021	J	`jnl`	GraphDF: A Discrete Flow Model for Molecular Graph Generation. CoRR Youzhi Luo, Keqiang Yan, Shuiwang Ji
2021	J	`jnl`	Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs. CoRR Zhao Xu, Youzhi Luo, Xuan Zhang, Xinyi Xu, Yaochen Xie, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
2021	J	`jnl`	Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence. CoRR Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang
2021	A*	`conf`	Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence. NeurIPS Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang
2020	J	`jnl`	MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery. CoRR Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Shuiwang Ji