Yi Liu

Orcid: 0000-0001-7405-7972

Affiliations:
  • Texas A&M University, College Station, TX, USA


According to our database1, Yi Liu authored at least 19 papers between 2019 and 2023.

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Bibliography

2023
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR, 2023

Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction.
Proceedings of the International Conference on Machine Learning, 2023

Learning Hierarchical Protein Representations via Complete 3D Graph Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Learning Protein Representations via Complete 3D Graph Networks.
CoRR, 2022

Periodic Graph Transformers for Crystal Material Property Prediction.
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.
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.
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.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
CleftNet: Augmented Deep Learning for Synaptic Cleft Detection From Brain Electron Microscopy.
IEEE Trans. Medical Imaging, 2021

Topology-Aware Graph Pooling Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

DIG: A Turnkey Library for Diving into Graph Deep Learning Research.
J. Mach. Learn. Res., 2021

Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence.
CoRR, 2021

Spherical Message Passing for 3D Graph Networks.
CoRR, 2021

A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis.
CoRR, 2021

Machine Learning Explanations to Prevent Overtrust in Fake News Detection.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020
Global Pixel Transformers for Virtual Staining of Microscopy Images.
IEEE Trans. Medical Imaging, 2020

Deep Learning of High-Order Interactions for Protein Interface Prediction.
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.
CoRR, 2019

Learning Local and Global Multi-context Representations for Document Classification.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019


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