Zedong Tang
According to our database1,
Zedong Tang
authored at least 32 papers
between 2016 and 2024.
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Bibliography
2024
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
Collaborative Self-Supervised Evolution for Few-Shot Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE Trans. Geosci. Remote. Sens., 2024
Improving CNN-based semantic segmentation on structurally similar data using contrastive graph convolutional networks.
Pattern Recognit., 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023
2022
Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification.
IEEE Trans. Neural Networks Learn. Syst., 2022
Deep Neural Message Passing With Hierarchical Layer Aggregation and Neighbor Normalization.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Knowl. Data Eng., 2022
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System.
IEEE Trans. Cybern., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Multi-view Point Cloud Registration based on Evolutionary Multitasking with Bi-Channel Knowledge Sharing Mechanism.
CoRR, 2022
2021
Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace.
IEEE Trans. Evol. Comput., 2021
Locality preserving dense graph convolutional networks with graph context-aware node representations.
Neural Networks, 2021
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Neural Networks, 2020
Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition.
Neural Networks, 2020
AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy.
CoRR, 2020
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations.
CoRR, 2020
2019
IEEE Trans. Evol. Comput., 2019
CAAI Trans. Intell. Technol., 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Evolutionary Multiobjective Change Detection via Self-paced Learning and Fuzzy Clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Decomposition-based multiobjective particle swarm optimization for change detection in SAR images.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Enhancing evolutionary multifactorial optimization based on particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016