Naifeng Wen

According to our database, Naifeng Wen authored at least 9 papers between 2017 and 2023.

Collaborative distances:

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

2023

DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks.

Mengdie Xu, Xinwei Zhao, Jingyu Wang, Wei Feng, Naifeng Wen, Chunyu Wang, Junjie Wang, Yun Liu, Lingling Zhao

J. Cheminformatics, December, 2023

Multiple sequence alignment based on deep reinforcement learning with self-attention and positional encoding.

Yuhang Liu, Hao Yuan, Qiang Zhang, Zixuan Wang, Shuwen Xiong, Naifeng Wen, Yongqing Zhang

Bioinform., October, 2023

DataDTA: a multi-feature and dual-interaction aggregation framework for drug-target binding affinity prediction.

Yan Zhu, Lingling Zhao, Naifeng Wen, Junjie Wang, Chunyu Wang

Bioinform., September, 2023

2022

A fingerprints based molecular property prediction method using the BERT model.

Naifeng Wen, Guanqun Liu, Jie Zhang, Rubo Zhang, Yating Fu, Xu Han

J. Cheminformatics, 2022

ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding.

Junjie Wang, Naifeng Wen, Chunyu Wang, Lingling Zhao, Liang Cheng

J. Cheminformatics, 2022

Learning representations for gene ontology terms by jointly encoding graph structure and textual node descriptors.

Lingling Zhao, Huiting Sun, Xinyi Cao, Naifeng Wen, Junjie Wang, Chunyu Wang

Briefings Bioinform., 2022

2021

SeqGO-CPA: Improving Compound-Protein Binding Affinity Prediction with Sequence Information and Gene Ontology Knowledge.

Chunyu Wang, Yan Zhu, Naifeng Wen, Lingling Zhao, Junjie Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Online planning for relative optimal and safe paths for USVs using a dual sampling domain reduction-based RRT* method.

Naifeng Wen, Rubo Zhang, Junwei Wu, Guanqun Liu

Int. J. Mach. Learn. Cybern., 2020

2017

Online UAV path planning in uncertain and hostile environments.

Naifeng Wen, Xiaohong Su, Peijun Ma, Lingling Zhao, Yan-hang Zhang

Int. J. Mach. Learn. Cybern., 2017