Feng Huang

Orcid: 0000-0001-9866-6684

Affiliations:
  • China Agricultural University, College of Science, Beijing, China
  • Chinese Academy of Sciences, Institute of Physics, Beijing, China (PhD 2005)


According to our database1, Feng Huang authored at least 17 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
CB-YOLO: Dense Object Detection of YOLO for Crowded Wheat Head Identification and Localization.
J. Circuits Syst. Comput., February, 2025

2024
Squeeze and Excitation Convolution with Shortcut for Complex Plasma Image Recognition.
Comput. Mater. Continua, 2024

2023
ML-CapsNet meets VB-DI-D: A novel distortion-tolerant baseline for perturbed object recognition.
Eng. Appl. Artif. Intell., April, 2023

DR-CapsNet with CAEMRA: Looking deep inside instance for boosting object detection effect.
Eng. Appl. Artif. Intell., 2023

Effects of dust particle number on the structure and dynamics in a binary complex plasma system by Langevin dynamics simulation.
Comput. Phys. Commun., 2023

Effects of temperature on the structures and dynamics of a binary complex plasma.
Comput. Phys. Commun., 2023

2022
Feature Correlation-Steered Capsule Network for object detection.
Neural Networks, 2022

An MLP Network Based on Residual Learning for Rice Hyperspectral Data Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

CapsNet meets ORB: A deformation-tolerant baseline for recognizing distorted targets.
Int. J. Intell. Syst., 2022

2021
Increasingly Specialized Generative Adversarial Network for fine-grained visual categorization.
Knowl. Based Syst., 2021

A coarse-to-fine capsule network for fine-grained image categorization.
Neurocomputing, 2021

CapsNet meets SIFT: A robust framework for distorted target categorization.
Neurocomputing, 2021

2020
A hierarchical coarse-to-fine perception for small-target categorization of butterflies under complex backgrounds.
J. Intell. Fuzzy Syst., 2020

A novel quadruple generative adversarial network for semi-supervised categorization of low-resolution images.
Neurocomputing, 2020

Fine-grained visual categorization of butterfly specimens at sub-species level via a convolutional neural network with skip-connections.
Neurocomputing, 2020

2019
A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases.
IEEE Access, 2019

Increasingly Specialized Perception Network for Fine-Grained Visual Categorization of Butterfly Specimens.
IEEE Access, 2019


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