Zhao Xu

23 papers A* 4A 1Journal 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
A text-guided protein design framework.
Nat. Mac. Intell.
Shengchao Liu, Yanjing Li, Zhuoxinran Li, Anthony Gitter, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Arvind Ramanathan, Chaowei Xiao, Jian Tang, Hongyu Guo, Anima Anandkumar
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
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
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction.
CoRR
Zhao Xu, Haiyang Yu, Montgomery Bohde, Shuiwang Ji
2024 J jnl
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction.
Trans. Mach. Learn. Res.
Zhao Xu, Haiyang Yu, Montgomery Bohde, Shuiwang Ji
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
A Text-guided Protein Design Framework.
CoRR
Shengchao Liu, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Anthony Gitter, Chaowei Xiao, Jian Tang, Hongyu Guo, Anima Anandkumar
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
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian.
ICML
Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2023 J jnl
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian.
CoRR
Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2023 J jnl
Self-Supervised Learning of Graph Neural Networks: A Unified Review.
IEEE Trans. Pattern Anal. Mach. Intell.
Yaochen Xie, Zhao Xu, Jingtun Zhang, Zhengyang Wang, 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
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
Self-Supervised Representation Learning via Latent Graph Prediction.
ICML
Yaochen Xie, Zhao Xu, Shuiwang Ji
2022 J jnl
Self-Supervised Representation Learning via Latent Graph Prediction.
CoRR
Yaochen Xie, Zhao Xu, 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 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
Self-Supervised Learning of Graph Neural Networks: A Unified Review.
CoRR
Yaochen Xie, Zhao Xu, Zhengyang Wang, 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