Yi Liu

According to our database, Yi Liu authored at least 19 papers between 2019 and 2023.

Collaborative distances:

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

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

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

Learning Hierarchical Protein Representations via Complete 3D Graph Networks.

Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning Protein Representations via Complete 3D Graph Networks.

Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji

CoRR, 2022

Periodic Graph Transformers for Crystal Material Property Prediction.

Keqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs.

Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Spherical Message Passing for 3D Molecular Graphs.

Yi Liu, Limei Wang, Meng Liu, Yuchao Lin, Xuan Zhang, Bora Oztekin, Shuiwang Ji

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

CleftNet: Augmented Deep Learning for Synaptic Cleft Detection From Brain Electron Microscopy.

Yi Liu, Shuiwang Ji

IEEE Trans. Medical Imaging, 2021

Topology-Aware Graph Pooling Networks.

Hongyang Gao, Yi Liu, Shuiwang Ji

IEEE Trans. Pattern Anal. Mach. Intell., 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

Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence.

Hongyang Gao, Yi Liu, Xuan Zhang, Shuiwang Ji

CoRR, 2021

Spherical Message Passing for 3D Graph Networks.

Yi Liu, Limei Wang, Meng Liu, Xuan Zhang, Bora Oztekin, Shuiwang Ji

CoRR, 2021

A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis.

Yi Liu, Shuiwang Ji

CoRR, 2021

Machine Learning Explanations to Prevent Overtrust in Fake News Detection.

Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020

Global Pixel Transformers for Virtual Staining of Microscopy Images.

Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji

IEEE Trans. Medical Imaging, 2020

Deep Learning of High-Order Interactions for Protein Interface Prediction.

Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images.

Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji

CoRR, 2019

Learning Local and Global Multi-context Representations for Document Classification.

Yi Liu, Hao Yuan, Shuiwang Ji

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019