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ORCIDZedong Tang
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2020 – today
- 2024
[j20]Ling Chen, Zedong Tang, Hao Li:
Improving CNN-based semantic segmentation on structurally similar data using contrastive graph convolutional networks. Pattern Recognit. 155: 110622 (2024)- [j19]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): 110-125 (2024) - [j18]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: 1-14 (2024) - [j17]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: 1-15 (2024) - [c9]Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu:
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. AAAI 2024: 11919-11926 - 2023
- [j16]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): 357-374 (2023) - [i5]Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu:
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. CoRR abs/2312.09498 (2023) - 2022
- [j15]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): 6599-6614 (2022) - [j14]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): 6745-6758 (2022) - [j13]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): 300-314 (2022) - [j12]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): 3309-3321 (2022) - [j11]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): 244-256 (2022) - [j10]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): 7172-7184 (2022) - [i4]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 abs/2205.02996 (2022) - [i3]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 abs/2212.05679 (2022) - 2021
- [j9]Wenfeng Liu, Maoguo Gong, Zedong Tang:
ETINE: Enhanced Textual Information Network Embedding. Knowl. Based Syst. 220: 106917 (2021) - [j8]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: 108-120 (2021) - [j7]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): 262-276 (2021) - [c8]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: 13479-13487 - 2020
- [j6]Maoguo Gong, Huimin Zeng, Yu Xie, Hao Li, Zedong Tang:
Local distinguishability aggrandizing network for human anomaly detection. Neural Networks 122: 364-373 (2020) - [j5]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: 131-141 (2020) - [j4]Yu Xie, Yuanqiao Zhang, Maoguo Gong, Zedong Tang, Chao Han:
MGAT: Multi-view Graph Attention Networks. Neural Networks 132: 180-189 (2020) - [i2]Wenfeng Liu, Maoguo Gong, Zedong Tang, A. Kai Qin:
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations. CoRR abs/2010.05404 (2020) - [i1]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 abs/2012.13077 (2020)
2010 – 2019
- 2019
- [j3]Zedong Tang, Maoguo Gong:
Adaptive multifactorial particle swarm optimisation. CAAI Trans. Intell. Technol. 4(1): 37-46 (2019) - [j2]Yu Xie, Maoguo Gong, A. Kai Qin, Zedong Tang, Xiaolong Fan:
TPNE: Topology preserving network embedding. Inf. Sci. 504: 20-31 (2019) - [j1]Maoguo Gong, Zedong Tang, Hao Li, Jun Zhang:
Evolutionary Multitasking With Dynamic Resource Allocating Strategy. IEEE Trans. Evol. Comput. 23(5): 858-869 (2019) - [c7]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: 998-1005 - [c6]Zedong Tang, Maoguo Gong, Fenlong Jiang, Hao Li, Yue Wu:
Multipopulation Optimization for Multitask Optimization. CEC 2019: 1906-1913 - 2018
- [c5]Xiangming Jiang, Maoguo Gong, Tao Zhan, Zedong Tang:
Multiobjective sparse unmixing approach with noise removal. GECCO 2018: 681-688 - [c4]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: 1729-1736 - 2017
- [c3]Zedong Tang, Maoguo Gong, Mingyang Zhang:
Evolutionary multi-task learning for modular extremal learning machine. CEC 2017: 474-479 - 2016
- [c2]Xiaolong Zheng, Yu Lei, Maoguo Gong, Zedong Tang:
Multifactorial Brain Storm Optimization Algorithm. BIC-TA (2) 2016: 47-53 - [c1]Tian Xie, Maoguo Gong, Zedong Tang, Yu Lei, Jia Liu, Zhao Wang:
Enhancing evolutionary multifactorial optimization based on particle swarm optimization. CEC 2016: 1658-1665
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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