Yunan Luo

Orcid: 0000-0001-7728-6412

According to our database1, Yunan Luo authored at least 22 papers between 2016 and 2024.

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Bibliography

2024
Contrastive Fitness Learning: Reprogramming Protein Language Models for Low-N Learning of Protein Fitness Landscape.
Proceedings of the Research in Computational Molecular Biology, 2024

FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Calibrated geometric deep learning improves kinase-drug binding predictions.
Nat. Mac. Intell., December, 2023

Sensing the shape of functional proteins with topology.
Nat. Comput. Sci., 2023

Supervised biological network alignment with graph neural networks.
Bioinform., 2023

LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interpretable Geometric Deep Learning via Learnable Randomness Injection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
scPretrain: multi-task self-supervised learning for cell-type classification.
Bioinform., 2022

2021
Deep geometric representations for modeling effects of mutations on protein-protein binding affinity.
PLoS Comput. Biol., 2021

2020
STAIR 2.0: A Generic and Automatic Algorithm to Fuse Modis, Landsat, and Sentinel-2 to Generate 10 m, Daily, and Cloud-/Gap-Free Surface Reflectance Product.
Remote. Sens., 2020

When causal inference meets deep learning.
Nat. Mach. Intell., 2020

Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity.
CoRR, 2020

Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering.
Proceedings of the Research in Computational Molecular Biology, 2020

2019
Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction.
PLoS Comput. Biol., 2019

DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network.
CoRR, 2019

Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning.
CoRR, 2019

Metagenomic binning through low-density hashing.
Bioinform., 2019

Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning.
Proceedings of the Research in Computational Molecular Biology, 2019

2018
Deciphering Signaling Specificity with Deep Neural Networks.
Proceedings of the Research in Computational Molecular Biology, 2018

Large-scale integration of heterogeneous pharmacogenomic data for identifying drug mechanism of action.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017
A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information.
Proceedings of the Research in Computational Molecular Biology, 2017

2016
Low-Density Locality-Sensitive Hashing Boosts Metagenomic Binning.
Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016


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