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2020 – today
- 2025
[i6]Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma:
Group Ligands Docking to Protein Pockets. CoRR abs/2501.15055 (2025)- 2024
- [j10]Kerr Ding
, Jiaqi Luo, Yunan Luo:
Leveraging conformal prediction to annotate enzyme function space with limited false positives. PLoS Comput. Biol. 20(5): 1012135 (2024) - [c10]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. ICML 2024 - [c9]Junming Zhao, Chao Zhang, Yunan Luo:
Contrastive Fitness Learning: Reprogramming Protein Language Models for Low-N Learning of Protein Fitness Landscape. RECOMB 2024: 470-474 - [i5]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 abs/2407.01649 (2024) - 2023
- [j9]Kerr Ding, Sheng Wang, Yunan Luo:
Supervised biological network alignment with graph neural networks. Bioinform. 39(Supplement-1): 465-474 (2023) - [j8]Yunan Luo, Yang Liu, Jian Peng:
Calibrated geometric deep learning improves kinase-drug binding predictions. Nat. Mac. Intell. 5(12): 1390-1401 (2023) - [j7]Yunan Luo:
Sensing the shape of functional proteins with topology. Nat. Comput. Sci. 3(2): 124-125 (2023) - [c8]Siqi Miao, Yunan Luo, Mia Liu, Pan Li:
Interpretable Geometric Deep Learning via Learnable Randomness Injection. ICLR 2023 - [c7]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 - 2022
- [j6]Ruiyi Zhang, Yunan Luo, Jianzhu Ma, Ming Zhang, Sheng Wang:
scPretrain: multi-task self-supervised learning for cell-type classification. Bioinform. 38(6): 1607-1614 (2022) - [i4]Siqi Miao, Yunan Luo, Mia Liu, Pan Li:
Interpretable Geometric Deep Learning via Learnable Randomness Injection. CoRR abs/2210.16966 (2022) - 2021
- [j5]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) - 2020
- [j4]Yunan Luo, Jian Peng, Jianzhu Ma:
When causal inference meets deep learning. Nat. Mach. Intell. 2(8): 426-427 (2020) - [j3]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): 3209 (2020) - [c6]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: 261-263 - [i3]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 abs/2008.12473 (2020)
2010 – 2019
- 2019
- [j2]Yunan Luo, Yun William Yu, Jianyang Zeng, Bonnie Berger, Jian Peng:
Metagenomic binning through low-density hashing. Bioinform. 35(2): 219-226 (2019) - [j1]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) - [c5]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: 305-307 - [i2]Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng:
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning. CoRR abs/1905.13420 (2019) - [i1]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 abs/1911.03607 (2019) - 2018
- [c4]Yunan Luo, Sheng Wang, Jinfeng Xiao, Jian Peng:
Large-scale integration of heterogeneous pharmacogenomic data for identifying drug mechanism of action. PSB 2018: 44-55 - [c3]Yunan Luo, Jianzhu Ma, Yang Liu, Qing Ye, Trey Ideker, Jian Peng:
Deciphering Signaling Specificity with Deep Neural Networks. RECOMB 2018: 266-268 - 2017
- [c2]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: 383-384 - 2016
- [c1]Yunan Luo, Jianyang Zeng, Bonnie Berger, Jian Peng:
Low-Density Locality-Sensitive Hashing Boosts Metagenomic Binning. RECOMB 2016: 255-257
Coauthor Index
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