Yanjun Li

According to our database, Yanjun Li authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

BatmanNet: bi-branch masked graph transformer autoencoder for molecular representation.

Zhen Wang, Zheng Feng, Yanjun Li, Bowen Li, Yongrui Wang, Chulin Sha, Min He, Xiaolin Li

Briefings Bioinform., November, 2023

Morphological Profiling for Drug Discovery in the Era of Deep Learning.

Qiaosi Tang, Ranjala Ratnayake, Gustavo de M. Seabra, Zhe Jiang, Ruogu Fang, Lina Cui, Yousong Ding, Tamer Kahveci, Jiang Bian, Chenglong Li, Hendrik Luesch, Yanjun Li

CoRR, 2023

Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures.

Yuanfang Ren, Yanjun Li, Tyler J. Loftus, Jeremy A. Balch, Kenneth L. Abbott, Shounak Datta, Matthew M. Ruppert, Ziyuan Guan, Benjamin Shickel, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac

CoRR, 2023

2022

Deep Learning in Drug Design: Protein-Ligand Binding Affinity Prediction.

Mohammad A. Rezaei, Yanjun Li, Dapeng Wu, Xiaolin Li, Chenglong Li

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

DyScore: A Boosting Scoring Method with Dynamic Properties for Identifying True Binders and Nonbinders in Structure-Based Drug Discovery.

Yanjun Li, Daohong Zhou, Guangrong Zheng, Xiaolin Li, Dapeng Wu, Yaxia Yuan

J. Chem. Inf. Model., 2022

BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation.

Zhen Wang, Zheng Feng, Yanjun Li, Bowen Li, Yongrui Wang, Chulin Sha, Min He, Xiaolin Li

CoRR, 2022

2020

PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders.

Yanjun Li, Shujian Yu, José C. Príncipe, Xiaolin Li, Dapeng Oliver Wu

CoRR, 2020

Application of Deep Interpolation Network for Clustering of Physiologic Time Series.

Yanjun Li, Yuanfang Ren, Tyler J. Loftus, Shounak Datta, Matthew Ruppert, Ziyuan Guan, Dapeng Oliver Wu, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac

CoRR, 2020

2019

DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction.

Yanjun Li, Mohammad A. Rezaei, Chenglong Li, Xiaolin Li, Dapeng Oliver Wu

CoRR, 2019

DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction.

Yanjun Li, Mohammad A. Rezaei, Chenglong Li, Xiaolin Li

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

FoldingZero: Protein Folding from Scratch in Hydrophobic-Polar Model.

Yanjun Li, Hengtong Kang, Ketian Ye, Shuyu Yin, Xiaolin Li

CoRR, 2018

2017

Character Sequence-to-Sequence Model with Global Attention for Universal Morphological Reinflection.

Qile Zhu, Yanjun Li, Xiaolin Li

Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, 2017