Dequan Jin

According to our database, Dequan Jin authored at least 10 papers between 2009 and 2025.

Collaborative distances:

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

2025

RoNFA: Robust Neural Field-based Approach for Few-Shot Image Classification with Noisy Labels.

Nan Xiang, Lifeng Xing, Dequan Jin

CoRR, June, 2025

ViTNF: Leveraging Neural Fields to Boost Vision Transformers in Generalized Category Discovery.

Jiayi Su, Dequan Jin

CoRR, June, 2025

HCNM: Hierarchical cognitive neural model for small-sample image classification.

Dequan Jin, Ruoge Li, Nan Xiang, Di Zhao, Xuanlu Xiang, Shihui Ying

Expert Syst. Appl., 2025

2023

A Weighting Method for Feature Dimension by Semisupervised Learning With Entropy.

Dequan Jin, Murong Yang, Ziyan Qin, Jigen Peng, Shihui Ying

IEEE Trans. Neural Networks Learn. Syst., March, 2023

2021

A Novel Neural Model With Lateral Interaction for Learning Tasks.

Dequan Jin, Ziyan Qin, Murong Yang, Penghe Chen

Neural Comput., 2021

Dimension reduction based on small sample entropy learning for hand-writing image.

Murong Yang, Jigen Peng, Ziyan Qin, Penghe Chen, Dequan Jin

Multim. Tools Appl., 2021

2015

Investigation on Amari's dynamical neural field with global constant inhibition.

Dequan Jin, Jigen Peng

Neural Networks, 2015

2011

A New Clustering Approach on the Basis of Dynamical Neural Field.

Dequan Jin, Jigen Peng, Bin Li

Neural Comput., 2011

Approximation on attraction domain of Cohen-Grossberg neural networks.

Dequan Jin, Zhili Huang, Jigen Peng

Appl. Math. Comput., 2011

2009

A New Approach for Estimating the Attraction Domain for Hopfield-Type Neural Networks.

Dequan Jin, Jigen Peng

Neural Comput., 2009