Chun Fang

According to our database, Chun Fang authored at least 20 papers between 2008 and 2024.

Collaborative distances:

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

2024

OD-Net: Orthogonal descriptor network for multiview image keypoint matching.

Chun Fang, Kun Sun, Xin Li, Kunqian Li, Wenbing Tao

Inf. Fusion, May, 2024

2023

AAindex-PPII: Predicting polyproline type II helix structure based on amino acid indexes with an improved BiGRU-TextCNN model.

Jiasheng He, Shun Zhang, Chun Fang

J. Bioinform. Comput. Biol., October, 2023

GAMFlow: Global Attention-Based Flow Model for Anomaly Detection and Localization.

Fan Zhang, Ruiqing Yan, Jinfeng Li, Jiasheng He, Chun Fang

IEEE Access, 2023

A Predict Current and Position Compensation Method for PMSM Sensorless Control Under Low Carrier Ratio.

Peiyang Chen, Jincheng Li, Chun Fang, Taoming Wang, Guangzhao Luo, Zhe Chen

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

CPPGAN-ESM: GAN-Enhanced ESM Prediction Model for Cell-Penetrating Peptide.

Fan Zhang, Shun Zhang, Chun Fang

Proceedings of the 6th International Conference on Big Data Technologies, 2023

PB_DBP: Identifying DNA-binding proteins using ProBert_BiLSTM model.

Jinfeng Li, Shun Zhang, Chun Fang

Proceedings of the 6th International Conference on Big Data Technologies, 2023

2022

Time-series surface water reconstruction method (TSWR) based on spatial distance relationship of multi-stage water boundaries.

Mingyang Li, Shanlong Lu, Cong Du, Yong Wang, Chun Fang, Xinru Li, Hailong Tang, Muhammad Hasan Ali Baig, Harrison Odion Ikhumhen

Int. J. Digit. Earth, December, 2022

2019

Complete coverage path planning for an Arnold system based mobile robot to perform specific types of missions.

Cai-hong Li, Chun Fang, Feng-ying Wang, Bin Xia, Yong Song

Frontiers Inf. Technol. Electron. Eng., 2019

Identifying short disorder-to-order binding regions in disordered proteins with a deep convolutional neural network method.

Chun Fang, Yoshitaka Moriwaki, Aikui Tian, Caihong Li, Kentaro Shimizu

J. Bioinform. Comput. Biol., 2019

MoRFPred_en: Sequence-based prediction of MoRFs using an ensemble learning strategy.

Chun Fang, Yoshitaka Moriwaki, Caihong Li, Kentaro Shimizu

J. Bioinform. Comput. Biol., 2019

Parameter estimation for BLDCM in rescue hoist drive and reduction of torque ripple and winding loss using conditional extremum current model.

Chun Fang, Manfeng Dou, Bo Tan, Jianwei Yang

Clust. Comput., 2019

2018

A Novel Method of Complexity Metric for Object-Oriented Software.

Tong Yi, Chun Fang

Int. J. Digit. Multim. Broadcast., 2018

An Integrated Algorithm of CCPP Task for Autonomous Mobile Robot under Special Missions.

Caihong Li, Zhiqiang Wang, Chun Fang, Zhenying Liang, Yong Song, Yibin Li

Int. J. Comput. Intell. Syst., 2018

2016

Identifying Protein Short Linear Motifs by Position-Specific Scoring Matrix.

Chun Fang, Tamotsu Noguchi, Hayato Yamana, Fuzhen Sun

Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

2015

Condensing position-specific scoring matrixs by the Kidera factors for ligand-binding site prediction.

Chun Fang, Tamotsu Noguchi, Hayato Yamana

Int. J. Data Min. Bioinform., 2015

2014

Analysis of evolutionary conservation patterns and their influence on identifying protein functional sites.

Chun Fang, Tamotsu Noguchi, Hayato Yamana

J. Bioinform. Comput. Biol., 2014

Simplified sequence-based method for ATP-binding prediction using contextual local evolutionary conservation.

Chun Fang, Tamotsu Noguchi, Hayato Yamana

Algorithms Mol. Biol., 2014

2013

Floquet Bundles for Tridiagonal Competitive-Cooperative Systems and the Dynamics of Time-Recurrent Systems.

Chun Fang, Mats Gyllenberg, Yi Wang

SIAM J. Math. Anal., 2013

MFSPSSMpred: identifying short disorder-to-order binding regions in disordered proteins based on contextual local evolutionary conservation.

Chun Fang, Tamotsu Noguchi, Daisuke Tominaga, Hayato Yamana

BMC Bioinform., 2013

2008

A novel Memetic Algorithm based on real-observation Quantum-inspired evolutionary algorithms.

Hongwen Liu, Gexiang Zhang, Chunxiu Liu, Chun Fang

Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008