Yunan Luo

According to our database, Yunan Luo authored at least 20 papers between 2016 and 2023.

Collaborative distances:

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

2023

Calibrated geometric deep learning improves kinase-drug binding predictions.

Yunan Luo, Yang Liu, Jian Peng

Nat. Mac. Intell., December, 2023

Sensing the shape of functional proteins with topology.

Yunan Luo

Nat. Comput. Sci., 2023

Supervised biological network alignment with graph neural networks.

Kerr Ding, Sheng Wang, Yunan Luo

Bioinform., 2023

LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion.

Jiaqi Guan, Xingang Peng, Peiqi Jiang, Yunan Luo, Jian Peng, Jianzhu Ma

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.

Siqi Miao, Yunan Luo, Mia Liu, Pan Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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

Ruiyi Zhang, Yunan Luo, Jianzhu Ma, Ming Zhang, Sheng Wang

Bioinform., 2022

2021

Deep geometric representations for modeling effects of mutations on protein-protein binding affinity.

Xianggen Liu, Yunan Luo, Pengyong Li, Sen Song, Jian Peng

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.

Yunan Luo, Kaiyu Guan, Jian Peng, Sibo Wang, Yizhi Huang

Remote. Sens., 2020

When causal inference meets deep learning.

Yunan Luo, Jian Peng, Jianzhu Ma

Nat. Mach. Intell., 2020

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

Xianggen Liu, Yunan Luo, Sen Song, Jian Peng

CoRR, 2020

Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering.

Yunan Luo, Lam Vo, Hantian Ding, Yufeng Su, Yang Liu, Wesley Wei Qian, Huimin Zhao, Jian Peng

Proceedings of the Research in Computational Molecular Biology, 2020

2019

Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction.

Yufeng Su, Yunan Luo, Xiaoming Zhao, Yang Liu, Jian Peng

PLoS Comput. Biol., 2019

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

Ke Xu, Kaiyu Guan, Jian Peng, Yunan Luo, Sibo Wang

CoRR, 2019

Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning.

Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng

CoRR, 2019

Metagenomic binning through low-density hashing.

Yunan Luo, Yun William Yu, Jianyang Zeng, Bonnie Berger, Jian Peng

Bioinform., 2019

Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning.

Yunan Luo, Jianzhu Ma, Xiaoming Zhao, Yufeng Su, Yang Liu, Trey Ideker, Jian Peng

Proceedings of the Research in Computational Molecular Biology, 2019

2018

Deciphering Signaling Specificity with Deep Neural Networks.

Yunan Luo, Jianzhu Ma, Yang Liu, Qing Ye, Trey Ideker, Jian Peng

Proceedings of the Research in Computational Molecular Biology, 2018

Large-scale integration of heterogeneous pharmacogenomic data for identifying drug mechanism of action.

Yunan Luo, Sheng Wang, Jinfeng Xiao, Jian Peng

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.

Yunan Luo, Xinbin Zhao, Jingtian Zhou, Jinling Yang, Yanqing Zhang, Wenhua Kuang, Jian Peng, Ligong Chen, Jianyang Zeng

Proceedings of the Research in Computational Molecular Biology, 2017

2016

Low-Density Locality-Sensitive Hashing Boosts Metagenomic Binning.

Yunan Luo, Jianyang Zeng, Bonnie Berger, Jian Peng

Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016