Jing Yang
Orcid: 0009-0007-8456-2420Affiliations:
- Guizhou University, MoE Key Laboratory of Advanced Manufacturing Technology, Guiyang, China
According to our database1,
Jing Yang
authored at least 37 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Graph neural networks with flow conservation constraints for real-time origin-destination matrix completion.
Pattern Recognit., 2026
MMT-SNN: Markovian decision and multi-threshold spike delivery integrated adaptive spiking neural network for tactile object recognition.
Expert Syst. Appl., 2026
2025
HA-A2C: Hard Attention and Advantage Actor-Critic for Addressing Latency Optimization in Edge Computing.
IEEE Trans. Green Commun. Netw., March, 2025
ACM Trans. Archit. Code Optim., March, 2025
EC-TRL: Evolutionary-Weighted Clustering and Transformer-Augmented Reinforcement Learning for Dynamic Resource Scheduling in Edge Cloud Environments.
IEEE Internet Things J., March, 2025
LRDTN: Spectral-Spatial Convolutional Fusion Long-Range Dependence Transformer Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2025
Pattern Recognit., 2025
Knowl. Based Syst., 2025
AOGN-CZSL: An Attribute- and Object-Guided Network for Compositional Zero-Shot Learning.
Inf. Fusion, 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
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
Deep reinforcement learning-based resource scheduling for energy optimization and load balancing in SDN-driven edge computing.
Comput. Commun., 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
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
Entropy, 2021
Comput. Intell. Neurosci., 2021
2020
Gear Fault Diagnosis through Vibration and Acoustic Signal Combination Based on Convolutional Neural Network.
Inf., 2020
IEEE Access, 2020
2019
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