Zhekang Dong
Orcid: 0000-0003-4639-3834
According to our database1,
Zhekang Dong
authored at least 42 papers
between 2015 and 2024.
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Collaborative distances:
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Bibliography
2024
A fine-grained feature decoupling based multi-source domain adaptation network for rotating machinery fault diagnosis.
Reliab. Eng. Syst. Saf., March, 2024
A lightweight vehicle mounted multi-scale traffic sign detector using attention fusion pyramid.
J. Supercomput., February, 2024
Vehicle-Mounted Adaptive Traffic Sign Detector for Small-Sized Signs in Multiple Working Conditions.
IEEE Trans. Intell. Transp. Syst., January, 2024
2023
A Brain-Inspired Hierarchical Interactive In-Memory Computing System and Its Application in Video Sentiment Analysis.
IEEE Trans. Circuits Syst. Video Technol., December, 2023
Memristor-Based Hierarchical Attention Network for Multimodal Affective Computing in Mental Health Monitoring.
IEEE Consumer Electron. Mag., July, 2023
Neural Comput. Appl., April, 2023
SABV-Depth: A biologically inspired deep learning network for monocular depth estimation.
Knowl. Based Syst., March, 2023
Design and Implementation of a Flexible Neuromorphic Computing System for Affective Communication via Memristive Circuits.
IEEE Commun. Mag., January, 2023
IEEE Trans. Multim., 2023
EMSN: An Energy-Efficient Memristive Sequencer Network for Human Emotion Classification in Mental Health Monitoring.
IEEE Trans. Consumer Electron., 2023
FAML-RT: Feature alignment-based multi-level similarity metric learning network for a two-stage robust tracker.
Inf. Sci., 2023
Circuit Design of Multimodal Attention Memristive Network for Affective Video Content Analysis.
Proceedings of the IEEE International Conference on Industrial Technology, 2023
Proceedings of the IEEE International Conference on Consumer Electronics, 2023
2022
A novel kernelized correlation filter by fusing multiple feature response maps, enhanced target re-detection, and improved model updating for visual tracking.
Vis. Comput., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Robotics Auton. Syst., 2022
GTAD: Graph and Temporal Neural Network for Multivariate Time Series Anomaly Detection.
Entropy, 2022
CoRR, 2022
A Brain-Inspired In-Memory Computing System for Neuronal Communication via Memristive Circuits.
IEEE Commun. Mag., 2022
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022
2021
Neurocomputing, 2021
General Modeling Method of Threshold-Type Multivalued Memristor and Its Application in Digital Logic Circuits.
Int. J. Bifurc. Chaos, 2021
TSSM: Three-State Switchable Memristor Model Based on Ag/TiOx Nanobelt/Ti Configuration.
Int. J. Bifurc. Chaos, 2021
Sci. China Inf. Sci., 2021
An Improved Bidirectional Gated Recurrent Unit Method for Accurate State-of-Charge Estimation.
IEEE Access, 2021
2020
Sensors, 2020
A Multiscale Recognition Method for the Optimization of Traffic Signs Using GMM and Category Quality Focal Loss.
Sensors, 2020
A novel versatile window function for memristor model with application in spiking neural network.
Neurocomputing, 2020
IET Circuits Devices Syst., 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Hybrid dual-complementary metal-oxide-semiconductor/memristor synapse-based neural network with its applications in image super-resolution.
IET Circuits Devices Syst., 2019
Proceedings of the IECON 2019, 2019
2018
A general memristor-based pulse coupled neural network with variable linking coefficient for multi-focus image fusion.
Neurocomputing, 2018
Easily Cascaded Memristor-CMOS Hybrid Circuit for High-Efficiency Boolean Logic Implementation.
Int. J. Bifurc. Chaos, 2018
IET Circuits Devices Syst., 2018
2017
IET Circuits Devices Syst., 2017
2016
Small-world Hopfield neural networks with weight salience priority and memristor synapses for digit recognition.
Neural Comput. Appl., 2016
Multiple Memristor Circuit Parametric Fault Diagnosis Using Feedback-Control Doublet Generator.
IEEE Access, 2016
2015
Memristor-Based Cellular Nonlinear/Neural Network: Design, Analysis, and Applications.
IEEE Trans. Neural Networks Learn. Syst., 2015