Zedong Tang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 34

Top Topics

Locality Preserving

Particle Swarm Optimisation

Top Venues

Neural Networks

IEEE Trans. Emerg. Top. Comput. Intell.

Publications

Yue Wu, Peiran Gong, Maoguo Gong, Hangqi Ding, Zedong Tang, Yibo Liu, Wenping Ma, Qiguang Miao
Evolutionary Multitasking With Solution Space Cutting for Point Cloud Registration. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Yiting Liu, Jianzhao Li, Maoguo Gong, Huilin Liu, Kai Sheng, Yourun Zhang, Zedong Tang, Yu Zhou
Collaborative Self-Supervised Evolution for Few-Shot Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Maoguo Gong, Hongyu Zhao, Yue Wu, Zedong Tang, Kaiyuan Feng, Kai Sheng
Dual Appearance-Aware Enhancement for Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. AAAI (2024)
Ling Chen, Zedong Tang, Hao Li
Improving CNN-based semantic segmentation on structurally similar data using contrastive graph convolutional networks. Pattern Recognit. 155 (2024)
Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. CoRR (2023)
Yue Wu, Yibo Liu, Maoguo Gong, Peiran Gong, Hao Li, Zedong Tang, Qiguang Miao, Wenping Ma
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism. IEEE Trans. Emerg. Top. Comput. Intell. 7 (2) (2023)
Jia Liu, Maoguo Gong, Zedong Tang, A. Kai Qin, Hao Li, Fenlong Jiang
Deep Image Inpainting With Enhanced Normalization and Contextual Attention. IEEE Trans. Circuits Syst. Video Technol. 32 (10) (2022)
Zedong Tang, Maoguo Gong, Yue Wu, A. Kai Qin, Kay Chen Tan
A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System. IEEE Trans. Cybern. 52 (7) (2022)
Yue Wu, Peiran Gong, Maoguo Gong, Hangqi Ding, Zedong Tang, Yibo Liu, Wenping Ma, Qiguang Miao
Evolutionary Multitasking with Solution Space Cutting for Point Cloud Registration. CoRR (2022)
Maoguo Gong, Wenfeng Liu, Yu Xie, Zedong Tang, Mingliang Xu
Heuristic 3D Interactive Walks for Multilayer Network Embedding. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Yue Wu, Yibo Liu, Maoguo Gong, Hao Li, Zedong Tang, Qiguang Miao, Wenping Ma
Multi-view Point Cloud Registration based on Evolutionary Multitasking with Bi-Channel Knowledge Sharing Mechanism. CoRR (2022)
Maoguo Gong, Jia Liu, Hao Li, Yu Xie, Zedong Tang
Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification. IEEE Trans. Neural Networks Learn. Syst. 33 (1) (2022)
Xiaolong Fan, Maoguo Gong, Zedong Tang, Yue Wu
Deep Neural Message Passing With Hierarchical Layer Aggregation and Neighbor Normalization. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Zedong Tang, Maoguo Gong, Yu Xie, Hao Li, Alex Kai Qin
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6 (2) (2022)
Zedong Tang, Maoguo Gong, Yue Wu, Wenfeng Liu, Yu Xie
Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace. IEEE Trans. Evol. Comput. 25 (2) (2021)
Wenfeng Liu, Maoguo Gong, Zedong Tang, A. Kai Qin, Kai Sheng, Mingliang Xu
Locality preserving dense graph convolutional networks with graph context-aware node representations. Neural Networks 143 (2021)
Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Yue Wu, Fan Yu, Zidong Wang, Min Wang
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature. CVPR (2021)
Wenfeng Liu, Maoguo Gong, Zedong Tang
ETINE: Enhanced Textual Information Network Embedding. Knowl. Based Syst. 220 (2021)
Maoguo Gong, Huimin Zeng, Yu Xie, Hao Li, Zedong Tang
Local distinguishability aggrandizing network for human anomaly detection. Neural Networks 122 (2020)
Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Fan Yu, Zidong Wang, Min Wang
AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy. CoRR (2020)
Wenfeng Liu, Maoguo Gong, Zedong Tang, A. Kai Qin
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations. CoRR (2020)
Maoguo Gong, Ke Pan, Yu Xie, A. Kai Qin, Zedong Tang
Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition. Neural Networks 125 (2020)
Yu Xie, Yuanqiao Zhang, Maoguo Gong, Zedong Tang, Chao Han
MGAT: Multi-view Graph Attention Networks. Neural Networks 132 (2020)
Maoguo Gong, Zedong Tang, Hao Li, Jun Zhang
Evolutionary Multitasking With Dynamic Resource Allocating Strategy. IEEE Trans. Evol. Comput. 23 (5) (2019)
Zedong Tang, Maoguo Gong
Adaptive multifactorial particle swarm optimisation. CAAI Trans. Intell. Technol. 4 (1) (2019)
Zedong Tang, Maoguo Gong, Fenlong Jiang, Hao Li, Yue Wu
Multipopulation Optimization for Multitask Optimization. CEC (2019)
Yingying Duan, Jingjing Ma, Hao Li, Mingyang Zhang, Zedong Tang, Maoguo Gong
Evolutionary Multiobjective Change Detection via Self-paced Learning and Fuzzy Clustering. CEC (2019)
Yu Xie, Maoguo Gong, A. Kai Qin, Zedong Tang, Xiaolong Fan
TPNE: Topology preserving network embedding. Inf. Sci. 504 (2019)
Tao Zhan, Zedong Tang, Maoguo Gong, Xiangming Jiang, Jiao Shi
Decomposition-based multiobjective particle swarm optimization for change detection in SAR images. GECCO (Companion) (2018)
Xiangming Jiang, Maoguo Gong, Tao Zhan, Zedong Tang
Multiobjective sparse unmixing approach with noise removal. GECCO (2018)
Zedong Tang, Maoguo Gong, Mingyang Zhang
Evolutionary multi-task learning for modular extremal learning machine. CEC (2017)
Tian Xie, Maoguo Gong, Zedong Tang, Yu Lei, Jia Liu, Zhao Wang
Enhancing evolutionary multifactorial optimization based on particle swarm optimization. CEC (2016)
Xiaolong Zheng, Yu Lei, Maoguo Gong, Zedong Tang
Multifactorial Brain Storm Optimization Algorithm. BIC-TA (2) (2016)