Jing Yang

Orcid: 0000-0003-1915-9487

Affiliations:
  • Guizhou University, MoE Key Laboratory of Advanced Manufacturing Technology, Guiyang, China


According to our database1, Jing Yang authored at least 28 papers between 2018 and 2025.

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

Timeline

2018
2019
2020
2021
2022
2023
2024
2025
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5
10
2
10
4
1
6
2
1
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
LRDTN: Spectral-Spatial Convolutional Fusion Long-Range Dependence Transformer Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2025

Determinate node selection for semi-supervised classification oriented graph convolutional networks.
Int. J. Bio Inspired Comput., 2025

2024
LVAR-CZSL: Learning Visual Attributes Representation for Compositional Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., December, 2024

Long-Term Airport Network Performance Forecasting With Linear Diffusion Graph Networks.
IEEE Trans. Intell. Transp. Syst., November, 2024

LCTCS: Low-Cost and Two-Channel Sparse Network for Hyperspectral Image Classification.
Neural Process. Lett., June, 2024

A2C-DRL: Dynamic Scheduling for Stochastic Edge-Cloud Environments Using A2C and Deep Reinforcement Learning.
IEEE Internet Things J., May, 2024

LSSMA: Lightweight Spectral-Spatial Neural Architecture With Multiattention Feature Extraction for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A class-incremental learning approach for learning feature-compatible embeddings.
Neural Networks, 2024

SPIRF-CTA: Selection of parameter importance levels for reasonable forgetting in continuous task adaptation.
Knowl. Based Syst., 2024

GGT-SNN: Graph learning and Gaussian prior integrated spiking graph neural network for event-driven tactile object recognition.
Inf. Sci., 2024

A Codesign of Scheduling and Parallelization for Large Model Training in Heterogeneous Clusters.
CoRR, 2024

SME-MFP: A novel spatiotemporal neural network with multiangle initialization embedding toward multifunctional peptides prediction.
Comput. Biol. Chem., 2024

2023
GACP: graph neural networks with ARMA filters and a parallel CNN for hyperspectral image classification.
Int. J. Digit. Earth, December, 2023

A New Multinetwork Mean Distillation Loss Function for Open-World Domain Incremental Object Detection.
Int. J. Intell. Syst., 2023

A TL_FLAT Model for Chinese Text Datasets of UAV Power Systems: Optimization and Performance.
Int. J. Intell. Syst., 2023

Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks.
CoRR, 2023

2022
Surface Quality Automatic Inspection for Pharmaceutical Capsules Using Deep Learning.
J. Sensors, 2022

2021
Review of Image Classification Algorithms Based on Convolutional Neural Networks.
Remote. Sens., 2021

DBA_SSD: A Novel End-to-End Object Detection Algorithm Applied to Plant Disease Detection.
Inf., 2021

Research on Generation Method of Grasp Strategy Based on DeepLab V3+ for Three-Finger Gripper.
Inf., 2021

Target Classification Method of Tactile Perception Data with Deep Learning.
Entropy, 2021

Trajectory Planning of Robot Manipulator Based on RBF Neural Network.
Entropy, 2021

Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot.
Comput. Intell. Neurosci., 2021

2020
Gear Fault Diagnosis through Vibration and Acoustic Signal Combination Based on Convolutional Neural Network.
Inf., 2020

Object Detection Recognition and Robot Grasping Based on Machine Learning: A Survey.
IEEE Access, 2020

2019
Real-Time Tiny Part Defect Detection System in Manufacturing Using Deep Learning.
IEEE Access, 2019

2018
Convolutional Neural Network-Based Embarrassing Situation Detection under Camera for Social Robot in Smart Homes.
Sensors, 2018

Modified Convolutional Neural Network Based on Dropout and the Stochastic Gradient Descent Optimizer.
Algorithms, 2018


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