Zedong Tang

According to our database, Zedong Tang authored at least 30 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evolutionary Multitasking With Solution Space Cutting for Point Cloud Registration.

Yue Wu, Peiran Gong, Maoguo Gong, Hangqi Ding, Zedong Tang, Yibo Liu, Wenping Ma, Qiguang Miao

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Dual Appearance-Aware Enhancement for Oriented Object Detection.

Maoguo Gong, Hongyu Zhao, Yue Wu, Zedong Tang, Kaiyuan Feng, Kai Sheng

IEEE Trans. Geosci. Remote. Sens., 2024

Neural Gaussian Similarity Modeling for Differential Graph Structure Learning.

Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu

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.

Yue Wu, Yibo Liu, Maoguo Gong, Peiran Gong, Hao Li, Zedong Tang, Qiguang Miao, Wenping Ma

IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

2022

Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification.

Maoguo Gong, Jia Liu, Hao Li, Yu Xie, Zedong Tang

IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Neural Message Passing With Hierarchical Layer Aggregation and Neighbor Normalization.

Xiaolong Fan, Maoguo Gong, Zedong Tang, Yue Wu

IEEE Trans. Neural Networks Learn. Syst., 2022

Heuristic 3D Interactive Walks for Multilayer Network Embedding.

Maoguo Gong, Wenfeng Liu, Yu Xie, Zedong Tang, Mingliang Xu

IEEE Trans. Knowl. Data Eng., 2022

Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning.

Zedong Tang, Maoguo Gong, Yu Xie, Hao Li, Alex Kai Qin

IEEE Trans. Emerg. Top. Comput. Intell., 2022

A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System.

Zedong Tang, Maoguo Gong, Yue Wu, A. Kai Qin, Kay Chen Tan

IEEE Trans. Cybern., 2022

Deep Image Inpainting With Enhanced Normalization and Contextual Attention.

Jia Liu, Maoguo Gong, Zedong Tang, A. Kai Qin, Hao Li, Fenlong Jiang

IEEE Trans. Circuits Syst. Video Technol., 2022

Multi-view Point Cloud Registration based on Evolutionary Multitasking with Bi-Channel Knowledge Sharing Mechanism.

Yue Wu, Yibo Liu, Maoguo Gong, Hao Li, Zedong Tang, Qiguang Miao, Wenping Ma

CoRR, 2022

2021

Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace.

Zedong Tang, Maoguo Gong, Yue Wu, Wenfeng Liu, Yu Xie

IEEE Trans. Evol. Comput., 2021

Locality preserving dense graph convolutional networks with graph context-aware node representations.

Wenfeng Liu, Maoguo Gong, Zedong Tang, A. Kai Qin, Kai Sheng, Mingliang Xu

Neural Networks, 2021

ETINE: Enhanced Textual Information Network Embedding.

Wenfeng Liu, Maoguo Gong, Zedong Tang

Knowl. Based Syst., 2021

SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature.

Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Yue Wu, Fan Yu, Zidong Wang, Min Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

MGAT: Multi-view Graph Attention Networks.

Yu Xie, Yuanqiao Zhang, Maoguo Gong, Zedong Tang, Chao Han

Neural Networks, 2020

Local distinguishability aggrandizing network for human anomaly detection.

Maoguo Gong, Huimin Zeng, Yu Xie, Hao Li, Zedong Tang

Neural Networks, 2020

Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition.

Maoguo Gong, Ke Pan, Yu Xie, A. Kai Qin, Zedong Tang

Neural Networks, 2020

AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy.

Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Fan Yu, Zidong Wang, Min Wang

CoRR, 2020

Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations.

Wenfeng Liu, Maoguo Gong, Zedong Tang, A. Kai Qin

CoRR, 2020

2019

Evolutionary Multitasking With Dynamic Resource Allocating Strategy.

Maoguo Gong, Zedong Tang, Hao Li, Jun Zhang

IEEE Trans. Evol. Comput., 2019

TPNE: Topology preserving network embedding.

Yu Xie, Maoguo Gong, A. Kai Qin, Zedong Tang, Xiaolong Fan

Inf. Sci., 2019

Adaptive multifactorial particle swarm optimisation.

Zedong Tang, Maoguo Gong

CAAI Trans. Intell. Technol., 2019

Multipopulation Optimization for Multitask Optimization.

Zedong Tang, Maoguo Gong, Fenlong Jiang, Hao Li, Yue Wu

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Evolutionary Multiobjective Change Detection via Self-paced Learning and Fuzzy Clustering.

Yingying Duan, Jingjing Ma, Hao Li, Mingyang Zhang, Zedong Tang, Maoguo Gong

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Decomposition-based multiobjective particle swarm optimization for change detection in SAR images.

Tao Zhan, Zedong Tang, Maoguo Gong, Xiangming Jiang, Jiao Shi

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multiobjective sparse unmixing approach with noise removal.

Xiangming Jiang, Maoguo Gong, Tao Zhan, Zedong Tang

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Evolutionary multi-task learning for modular extremal learning machine.

Zedong Tang, Maoguo Gong, Mingyang Zhang

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Enhancing evolutionary multifactorial optimization based on particle swarm optimization.

Tian Xie, Maoguo Gong, Zedong Tang, Yu Lei, Jia Liu, Zhao Wang

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Multifactorial Brain Storm Optimization Algorithm.

Xiaolong Zheng, Yu Lei, Maoguo Gong, Zedong Tang

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016