Multifactorial Brain Storm Optimization Algorithm. - Xiaolong Zheng 006; Yu Lei 002; Maoguo Gong; Zedong Tang (BIC-TA (2), 2016)

Enhancing evolutionary multifactorial optimization based on particle swarm optimization. - Tian Xie; Maoguo Gong; Zedong Tang; Yu Lei 002; Jia Liu 020; Zhao Wang (CEC, 2016)

Evolutionary multi-task learning for modular extremal learning machine. - Zedong Tang; Maoguo Gong; Mingyang Zhang 002 (CEC, 2017)

Multiobjective sparse unmixing approach with noise removal. - Xiangming Jiang; Maoguo Gong; Tao Zhan; Zedong Tang (GECCO, 2018)

Decomposition-based multiobjective particle swarm optimization for change detection in SAR images. - Tao Zhan; Zedong Tang; Maoguo Gong; Xiangming Jiang; Jiao Shi (GECCO (Companion), 2018)

Evolutionary Multiobjective Change Detection via Self-paced Learning and Fuzzy Clustering. - Yingying Duan; Jingjing Ma 001; Hao Li 009; Mingyang Zhang 002; Zedong Tang; Maoguo Gong (CEC, 2019)

Multipopulation Optimization for Multitask Optimization. - Zedong Tang; Maoguo Gong; Fenlong Jiang; Hao Li 009; Yue Wu 004 (CEC, 2019)

Adaptive multifactorial particle swarm optimisation. - Zedong Tang; Maoguo Gong (CAAI Trans. Intell. Technol., 2019)

TPNE: Topology preserving network embedding. - Yu Xie; Maoguo Gong; A. Kai Qin; Zedong Tang; Xiaolong Fan (Inf. Sci., 2019)

Evolutionary Multitasking With Dynamic Resource Allocating Strategy. - Maoguo Gong; Zedong Tang; Hao Li 009; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2019)

Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations. - Wenfeng Liu; Maoguo Gong; Zedong Tang; A. Kai Qin (CoRR, 2020)

AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy. - Zedong Tang; Fenlong Jiang; Maoguo Gong; Hao Li 009; Fan Yu; Zidong Wang 010; Min Wang 037 (CoRR, 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)

Local distinguishability aggrandizing network for human anomaly detection. - Maoguo Gong; Huimin Zeng; Yu Xie; Hao Li 009; Zedong Tang (Neural Networks, 2020)

MGAT: Multi-view Graph Attention Networks. - Yu Xie; Yuanqiao Zhang; Maoguo Gong; Zedong Tang; Chao Han (Neural Networks, 2020)

SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature. - Zedong Tang; Fenlong Jiang; Maoguo Gong; Hao Li 009; Yue Wu 004; Fan Yu; Zidong Wang 010; Min Wang 037 (CVPR, 2021)

ETINE: Enhanced Textual Information Network Embedding. - Wenfeng Liu; Maoguo Gong; Zedong Tang (Knowl. Based Syst., 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 001 (Neural Networks, 2021)

Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace. - Zedong Tang; Maoguo Gong; Yue Wu 004; Wenfeng Liu; Yu Xie (IEEE Trans. Evol. Comput., 2021)

Multi-view Point Cloud Registration based on Evolutionary Multitasking with Bi-Channel Knowledge Sharing Mechanism. - Yue Wu 004; Yibo Liu; Maoguo Gong; Hao Li 009; Zedong Tang; Qiguang Miao; Wenping Ma 001 (CoRR, 2022)

Deep Image Inpainting With Enhanced Normalization and Contextual Attention. - Jia Liu 020; Maoguo Gong; Zedong Tang; A. Kai Qin; Hao Li 009; Fenlong Jiang (IEEE Trans. Circuits Syst. Video Technol., 2022)

A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System. - Zedong Tang; Maoguo Gong; Yue Wu 004; A. Kai Qin; Kay Chen Tan (IEEE Trans. Cybern., 2022)

Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning. - Zedong Tang; Maoguo Gong; Yu Xie; Hao Li 009; Alex Kai Qin (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Heuristic 3D Interactive Walks for Multilayer Network Embedding. - Maoguo Gong; Wenfeng Liu; Yu Xie; Zedong Tang; Mingliang Xu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Deep Neural Message Passing With Hierarchical Layer Aggregation and Neighbor Normalization. - Xiaolong Fan; Maoguo Gong; Zedong Tang; Yue Wu 004 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification. - Maoguo Gong; Jia Liu 020; Hao Li 009; Yu Xie; Zedong Tang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism. - Yue Wu 004; Yibo Liu; Maoguo Gong; Peiran Gong; Hao Li 009; Zedong Tang; Qiguang Miao; Wenping Ma 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. - Xiaolong Fan; Maoguo Gong; Yue Wu 004; Zedong Tang; Jieyi Liu (AAAI, 2024)

Improving CNN-based semantic segmentation on structurally similar data using contrastive graph convolutional networks. - Ling Chen; Zedong Tang; Hao Li (Pattern Recognit., 2024)

Dual Appearance-Aware Enhancement for Oriented Object Detection. - Maoguo Gong; Hongyu Zhao 007; Yue Wu 004; Zedong Tang; Kaiyuan Feng; Kai Sheng (IEEE Trans. Geosci. Remote. Sens., 2024)

Collaborative Self-Supervised Evolution for Few-Shot Remote Sensing Scene Classification. - Yiting Liu; Jianzhao Li; Maoguo Gong; Huilin Liu; Kai Sheng; Yourun Zhang; Zedong Tang; Yu Zhou 051 (IEEE Trans. Geosci. Remote. Sens., 2024)

Evolutionary Multitasking With Solution Space Cutting for Point Cloud Registration. - Yue Wu 004; Peiran Gong; Maoguo Gong; Hangqi Ding; Zedong Tang; Yibo Liu; Wenping Ma 001; Qiguang Miao (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Enhancing video segmentation with contrastive self-supervised learning of distinctive class features for visually homogeneous frames. - Ling Chen; Zedong Tang; Xiaolong Fan (Expert Syst. Appl., 2025)