Yunan Luo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Remote Sensing Images

Causal Inference

Top Venues

PLoS Comput. Biol.

Publications

Junming Zhao, Chao Zhang, Yunan Luo
Contrastive Fitness Learning: Reprogramming Protein Language Models for Low-N Learning of Protein Fitness Landscape. RECOMB (2024)
Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu, Jiahan Li, Jianzhu Ma, Qiang Liu, Yunan Luo, Jian Peng
FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames. CoRR (2024)
Yunan Luo
Sensing the shape of functional proteins with topology. Nat. Comput. Sci. 3 (2) (2023)
Siqi Miao, Yunan Luo, Mia Liu, Pan Li
Interpretable Geometric Deep Learning via Learnable Randomness Injection. ICLR (2023)
Jiaqi Guan, Xingang Peng, Peiqi Jiang, Yunan Luo, Jian Peng, Jianzhu Ma
LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion. NeurIPS (2023)
Kerr Ding, Sheng Wang, Yunan Luo
Supervised biological network alignment with graph neural networks. Bioinform. 39 (Supplement-1) (2023)
Yunan Luo, Yang Liu, Jian Peng
Calibrated geometric deep learning improves kinase-drug binding predictions. Nat. Mac. Intell. 5 (12) (2023)
Ruiyi Zhang, Yunan Luo, Jianzhu Ma, Ming Zhang, Sheng Wang
scPretrain: multi-task self-supervised learning for cell-type classification. Bioinform. 38 (6) (2022)
Siqi Miao, Yunan Luo, Mia Liu, Pan Li
Interpretable Geometric Deep Learning via Learnable Randomness Injection. CoRR (2022)
Xianggen Liu, Yunan Luo, Pengyong Li, Sen Song, Jian Peng
Deep geometric representations for modeling effects of mutations on protein-protein binding affinity. PLoS Comput. Biol. 17 (8) (2021)
Yunan Luo, Jian Peng, Jianzhu Ma
When causal inference meets deep learning. Nat. Mach. Intell. 2 (8) (2020)
Xianggen Liu, Yunan Luo, Sen Song, Jian Peng
Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity. CoRR (2020)
Yunan Luo, Lam Vo, Hantian Ding, Yufeng Su, Yang Liu, Wesley Wei Qian, Huimin Zhao, Jian Peng
Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering. RECOMB (2020)
Yunan Luo, Kaiyu Guan, Jian Peng, Sibo Wang, Yizhi Huang
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. 12 (19) (2020)
Yufeng Su, Yunan Luo, Xiaoming Zhao, Yang Liu, Jian Peng
Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction. PLoS Comput. Biol. 15 (9) (2019)
Yunan Luo, Yun William Yu, Jianyang Zeng, Bonnie Berger, Jian Peng
Metagenomic binning through low-density hashing. Bioinform. 35 (2) (2019)
Yunan Luo, Jianzhu Ma, Xiaoming Zhao, Yufeng Su, Yang Liu, Trey Ideker, Jian Peng
Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning. RECOMB (2019)
Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning. CoRR (2019)
Ke Xu, Kaiyu Guan, Jian Peng, Yunan Luo, Sibo Wang
DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network. CoRR (2019)
Yunan Luo, Sheng Wang, Jinfeng Xiao, Jian Peng
Large-scale integration of heterogeneous pharmacogenomic data for identifying drug mechanism of action. PSB (2018)
Yunan Luo, Jianzhu Ma, Yang Liu, Qing Ye, Trey Ideker, Jian Peng
Deciphering Signaling Specificity with Deep Neural Networks. RECOMB (2018)
Yunan Luo, Xinbin Zhao, Jingtian Zhou, Jinling Yang, Yanqing Zhang, Wenhua Kuang, Jian Peng, Ligong Chen, Jianyang Zeng
A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information. RECOMB (2017)
Yunan Luo, Jianyang Zeng, Bonnie Berger, Jian Peng
Low-Density Locality-Sensitive Hashing Boosts Metagenomic Binning. RECOMB (2016)