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2020 – today
- 2022
[j234]Tianheng Zhang, Jianli Zhao
, Qiuxia Sun, Bin Zhang, Jianjian Chen, Maoguo Gong:
Low-rank tensor completion via combined Tucker and Tensor Train for color image recovery. Appl. Intell. 52(7): 7761-7776 (2022)- [j233]Zhao Wang, Maoguo Gong, Peng Li, Jie Gu, Weidong Tian:
A hypervolume distribution entropy guided computation resource allocation mechanism for the multiobjective evolutionary algorithm based on decomposition. Appl. Soft Comput. 116: 108297 (2022) - [j232]Ning Cao, Shujuan Ji, Dickson K. W. Chiu, Maoguo Gong:
A deceptive reviews detection model: Separated training of multi-feature learning and classification. Expert Syst. Appl. 187: 115977 (2022) - [j231]Jieyi Liu, Maoguo Gong, Mingyang Zhang, Hao Li, Shanshan Zhao:
An anti-jamming method in multistatic radar system based on convolutional neural network. IET Signal Process. 16(2): 220-231 (2022) - [j230]Bin Zhao, Maoguo Gong, Xuelong Li:
Hierarchical multimodal transformer to summarize videos. Neurocomputing 468: 360-369 (2022) - [j229]Mulin Chen, Maoguo Gong, Xuelong Li:
Robust doubly stochastic graph clustering. Neurocomputing 475: 15-25 (2022) - [j228]Jianli Zhao, Hao Li, Lijun Qu, Qinzhi Zhang, Qiuxia Sun, Huan Huo, Maoguo Gong:
DCFGAN: An adversarial deep reinforcement learning framework with improved negative sampling for session-based recommender systems. Inf. Sci. 596: 222-235 (2022) - [j227]Zengyang Shao, Lijia Ma, Qiuzhen Lin, Jianqiang Li, Maoguo Gong, Asoke K. Nandi:
PMCDM: Privacy-preserving multiresolution community detection in multiplex networks. Knowl. Based Syst. 244: 108542 (2022) - [j226]Tongfei Liu, Maoguo Gong, Fenlong Jiang, Yuanqiao Zhang, Hao Li:
Landslide Inventory Mapping Method Based on Adaptive Histogram-Mean Distance With Bitemporal VHR Aerial Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j225]Tao Zhan, Maoguo Gong, Xiangming Jiang, Wei Zhao:
Transfer Learning-Based Bilinear Convolutional Networks for Unsupervised Change Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j224]Liang Zhang, Johann Li, Ping Li, Xiaoyuan Lu, Maoguo Gong, Peiyi Shen, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Kun Qian, Björn W. Schuller:
MEDAS: an open-source platform as a service to help break the walls between medicine and informatics. Neural Comput. Appl. 34(8): 6547-6567 (2022) - [j223]Xiaoke Ma, Peng Gang Sun, Maoguo Gong:
An Integrative Framework of Heterogeneous Genomic Data for Cancer Dynamic Modules Based on Matrix Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 305-316 (2022) - [j222]Lijia Ma, Yuchun Ma, Qiuzhen Lin, Junkai Ji, Carlos A. Coello Coello, Maoguo Gong:
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 136-149 (2022) - [j221]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) - [j220]Maoguo Gong, Fenlong Jiang, Alex Kai Qin, Tongfei Liu, Tao Zhan, Di Lu, Hanhong Zheng, Mingyang Zhang:
A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j219]Tongfei Liu, Maoguo Gong, Di Lu, Qingfu Zhang, Hanhong Zheng, Fenlong Jiang, Mingyang Zhang:
Building Change Detection for VHR Remote Sensing Images via Local-Global Pyramid Network and Cross-Task Transfer Learning Strategy. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j218]Yourun Zhang, Maoguo Gong, Jianzhao Li, Mingyang Zhang, Fenlong Jiang, Hongyu Zhao:
Self-Supervised Monocular Depth Estimation With Multiscale Perception. IEEE Trans. Image Process. 31: 3251-3266 (2022) - [j217]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) - [i18]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) - 2021
- [j216]Yongjie Du, Deyun Zhou, Yu Xie, Jiao Shi, Maoguo Gong:
Federated matrix factorization for privacy-preserving recommender systems. Appl. Soft Comput. 111: 107700 (2021) - [j215]Jianzhao Li, Hao Li, Yiting Liu, Maoguo Gong:
Multi-fidelity evolutionary multitasking optimization for hyperspectral endmember extraction. Appl. Soft Comput. 111: 107713 (2021) - [j214]Yan Wang, Zuheng Xia, Jingjing Deng, Xianghua Xie, Maoguo Gong, Xiaoke Ma:
TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. BMC Bioinform. 22-S(9): 274 (2021) - [j213]Peipei Zhao, Qiguang Miao, Hang Yao, Xiangzeng Liu, Ruyi Liu, Maoguo Gong:
CA-PMG: Channel attention and progressive multi-granularity training network for fine-grained visual classification. IET Image Process. 15(14): 3718-3727 (2021) - [j212]Yue Wu, Jun-Wei Liu, Chenzhuo Zhu, Zhuangfei Bai, Qiguang Miao, Wenping Ma, Maoguo Gong:
Computational Intelligence in Remote Sensing Image Registration: A survey. Int. J. Autom. Comput. 18(1): 1-17 (2021) - [j211]Chao Han, Yu Lei, Yu Xie, Deyun Zhou, Maoguo Gong:
Learning smooth representations with generalized softmax for unsupervised domain adaptation. Inf. Sci. 544: 415-426 (2021) - [j210]Xiangming Jiang, Maoguo Gong, Tao Zhan, Hao Li:
Geodesic simplex based multiobjective endmember extraction for nonlinear hyperspectral mixtures. Inf. Sci. 577: 398-423 (2021) - [j209]Yu Xie, Cheng Chen, Maoguo Gong, Deyu Li, A. Kai Qin:
Graph embedding via multi-scale graph representations. Inf. Sci. 578: 102-115 (2021) - [j208]Ke Pan, Maoguo Gong, Kaiyuan Feng, Kun Wang:
Differentially private regression analysis with dynamic privacy allocation. Knowl. Based Syst. 217: 106795 (2021) - [j207]Wenfeng Liu, Maoguo Gong, Zedong Tang:
ETINE: Enhanced Textual Information Network Embedding. Knowl. Based Syst. 220: 106917 (2021) - [j206]Dongyuan Li, Xiaoxiong Zhong, Zengfa Dou, Maoguo Gong, Xiaoke Ma:
Detecting dynamic community by fusing network embedding and nonnegative matrix factorization. Knowl. Based Syst. 221: 106961 (2021) - [j205]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) - [j204]Chao Han, Deyun Zhou, Yu Xie, Maoguo Gong, Yu Lei, Jiao Shi:
Collaborative representation with curriculum classifier boosting for unsupervised domain adaptation. Pattern Recognit. 113: 107802 (2021) - [j203]Yu Xie, Bin Yu, Shengze Lv, Chen Zhang, Guodong Wang, Maoguo Gong:
A survey on heterogeneous network representation learning. Pattern Recognit. 116: 107936 (2021) - [j202]Na Li, Deyun Zhou, Jiao Shi, Mingyang Zhang, Tao Wu, Maoguo Gong:
Deep Fully Convolutional Embedding Networks for Hyperspectral Images Dimensionality Reduction. Remote. Sens. 13(4): 706 (2021) - [j201]Na Li, Deyun Zhou, Jiao Shi, Tao Wu, Maoguo Gong:
Spectral-Locational-Spatial Manifold Learning for Hyperspectral Images Dimensionality Reduction. Remote. Sens. 13(14): 2752 (2021) - [j200]Xiangming Jiang, Maoguo Gong, Tao Zhan, Kai Sheng, Mingliang Xu:
Efficient Two-Phase Multiobjective Sparse Unmixing Approach for Hyperspectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2418-2431 (2021) - [j199]Hao Li, Maoguo Gong, Mingyang Zhang, Yue Wu:
Spatially Self-Paced Convolutional Networks for Change Detection in Heterogeneous Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4966-4979 (2021) - [j198]Yue Wu, Zhenglei Xiao, Shaodi Liu, Qiguang Miao, Wenping Ma, Maoguo Gong, Fei Xie, Yang Zhang:
A Two-Step Method for Remote Sensing Images Registration Based on Local and Global Constraints. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5194-5206 (2021) - [j197]Hao Li, Jianzhao Li, Yue Zhao, Maoguo Gong, Yujing Zhang, Tongfei Liu:
Cost-Sensitive Self-Paced Learning With Adaptive Regularization for Classification of Image Time Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 11713-11727 (2021) - [j196]Lijia Ma, Shiqiang Wang, Qiuzhen Lin, Jianqiang Li, Zhuhong You, Jiaxiang Huang, Maoguo Gong:
Multi-Neighborhood Learning for Global Alignment in Biological Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2598-2611 (2021) - [j195]Dayong Tian, Deyun Zhou, Maoguo Gong, Yiwen Wei:
Interval Type-2 Fuzzy Logic for Semisupervised Multimodal Hashing. IEEE Trans. Cybern. 51(7): 3802-3812 (2021) - [j194]Hao Li, Maoguo Gong, Congcong Wang, Qiguang Miao:
Pareto Self-Paced Learning Based on Differential Evolution. IEEE Trans. Cybern. 51(8): 4187-4200 (2021) - [j193]Qiuzhen Lin, Wu Lin, Zexuan Zhu, Maoguo Gong, Jianqiang Li, Carlos A. Coello Coello:
Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces. IEEE Trans. Evol. Comput. 25(1): 130-144 (2021) - [j192]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) - [j191]Xun Zhou, A. Kai Qin, Maoguo Gong, Kay Chen Tan:
A Survey on Evolutionary Construction of Deep Neural Networks. IEEE Trans. Evol. Comput. 25(5): 894-912 (2021) - [j190]Fanhua Shang, Tao Xu, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong:
Differentially Private ADMM Algorithms for Machine Learning. IEEE Trans. Inf. Forensics Secur. 16: 4733-4745 (2021) - [j189]Ben-Hui Zhang, Maoguo Gong, Jianbin Huang, Xiaoke Ma:
Clustering Heterogeneous Information Network by Joint Graph Embedding and Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data 15(4): 73:1-73:25 (2021) - [j188]Yuan Gao, Maoguo Gong, Yu Xie, Alex Kai Qin:
An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection. IEEE Trans. Multim. 23: 784-796 (2021) - [j187]Maoguo Gong, Jia Liu, A. Kai Qin, Kun Zhao, Kay Chen Tan:
Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 420-434 (2021) - [c96]Mingliang Zhang, Zheng Feng, Jinxin Wei, Maoguo Gong:
Updating Land-Cover Maps by Iterative Difference Learning Network. CCIS 2021: 193-197 - [c95]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 - [c94]Tianqi Gao, Wenyuan Qiao, Hao Li, Maoguo Gong, Gengchao Li, Jie Min:
Change Detection in SAR Images Based on Evolutionary Multiobjective Optimization and Superpixel Segmentation. EMO 2021: 734-745 - [c93]Yongjie Du, Deyun Zhou, Jiao Shi, Yu Lei, Maoguo Gong:
Dynamic-graph-based Unsupervised Domain Adaptation. IJCNN 2021: 1-7 - [i17]Mulin Chen, Maoguo Gong, Xuelong Li:
Feature Weighted Non-negative Matrix Factorization. CoRR abs/2103.13491 (2021) - [i16]Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin:
An attention-based unsupervised adversarial model for movie review spam detection. CoRR abs/2104.00955 (2021) - [i15]Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. Kai Qin:
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework. CoRR abs/2104.06670 (2021) - [i14]Maoguo Gong, Yuan Gao, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong:
Multi-Party Dual Learning. CoRR abs/2104.06677 (2021) - [i13]Xiaolong Fan, Maoguo Gong, Yue Wu, Hao Li:
Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations. CoRR abs/2105.06715 (2021) - [i12]Bin Zhao, Maoguo Gong, Xuelong Li:
AudioVisual Video Summarization. CoRR abs/2105.07667 (2021) - [i11]Junyu Gao, Maoguo Gong, Xuelong Li:
Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer. CoRR abs/2108.00584 (2021) - [i10]Bin Zhao, Maoguo Gong, Xuelong Li:
Hierarchical Multimodal Transformer to Summarize Videos. CoRR abs/2109.10559 (2021) - [i9]Xiaolong Zheng, Deyun Zhou, Na Li, Yu Lei, Tao Wu, Maoguo Gong:
Self-adaptive Multi-task Particle Swarm Optimization. CoRR abs/2110.04473 (2021) - [i8]Junyu Gao, Maoguo Gong, Xuelong Li:
Audio-visual Representation Learning for Anomaly Events Detection in Crowds. CoRR abs/2110.14862 (2021) - [i7]Maoguo Gong, Yuan Gao, Yue Wu, A. Kai Qin:
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning. CoRR abs/2110.15522 (2021) - 2020
- [j186]Jingwei Kou, Tao Zhan, Deyun Zhou, Wei Wang, Zhengshang Da, Maoguo Gong:
The laser-induced damage change detection for optical elements using siamese convolutional neural networks. Appl. Soft Comput. 87: 106015 (2020) - [j185]Shanfeng Wang, Maoguo Gong, Wenfeng Liu, Yue Wu:
Preventing epidemic spreading in networks by community detection and memetic algorithm. Appl. Soft Comput. 89: 106118 (2020) - [j184]Maoguo Gong, Yu Xie, Ke Pan, Kaiyuan Feng, Alex Kai Qin:
A Survey on Differentially Private Machine Learning [Review Article]. IEEE Comput. Intell. Mag. 15(2): 49-64 (2020) - [j183]Xinchao Zhao, Maoguo Gong, Xingquan Zuo, Linqiang Pan:
Guest editorial on S.I.: Bio-inspired computing: theories and application. Evol. Intell. 13(1): 1-2 (2020) - [j182]Shanfeng Wang, Maoguo Gong, Yue Wu, Mingyang Zhang:
Multi-objective optimization for location-based and preferences-aware recommendation. Inf. Sci. 513: 614-626 (2020) - [j181]Lijia Ma, Yutao Zhang, Jianqiang Li, Qiuzhen Lin, Qing Bao, Shanfeng Wang, Maoguo Gong:
Community-aware dynamic network embedding by using deep autoencoder. Inf. Sci. 519: 22-42 (2020) - [j180]Shujuan Ji, Qi Zhang, Jinpeng Li, Dickson K. W. Chiu, Shaohua Xu, Lei Yi, Maoguo Gong:
A burst-based unsupervised method for detecting review spammer groups. Inf. Sci. 536: 454-469 (2020) - [j179]Yuan Gao, Maoguo Gong, Yu Xie, Hua Zhong:
Community-oriented attributed network embedding. Knowl. Based Syst. 193: 105418 (2020) - [j178]Yu Xie, Chuanyu Yao, Maoguo Gong, Cheng Chen, A. Kai Qin:
Graph convolutional networks with multi-level coarsening for graph classification. Knowl. Based Syst. 194: 105578 (2020) - [j177]Zhihao Huang, Xiaoxiong Zhong, Qiang Wang, Maoguo Gong, Xiaoke Ma:
Detecting community in attributed networks by dynamically exploring node attributes and topological structure. Knowl. Based Syst. 196: 105760 (2020) - [j176]Zhongying Zhao, Xuejian Zhang, Hui Zhou, Chao Li, Maoguo Gong, Yongqing Wang:
HetNERec: Heterogeneous network embedding based recommendation. Knowl. Based Syst. 204: 106218 (2020) - [j175]Ruyi Liu, Qiguang Miao, Yi Zhang, Maoguo Gong, Pengfei Xu:
A Semi-Supervised High-Level Feature Selection Framework for Road Centerline Extraction. IEEE Geosci. Remote. Sens. Lett. 17(5): 894-898 (2020) - [j174]Fenlong Jiang, Maoguo Gong, Tao Zhan, Xiaolong Fan:
A Semisupervised GAN-Based Multiple Change Detection Framework in Multi-Spectral Images. IEEE Geosci. Remote. Sens. Lett. 17(7): 1223-1227 (2020) - [j173]Maoguo Gong, Jialun Feng, Yu Xie:
Privacy-enhanced multi-party deep learning. Neural Networks 121: 484-496 (2020) - [j172]Maoguo Gong, Huimin Zeng, Yu Xie, Hao Li, Zedong Tang:
Local distinguishability aggrandizing network for human anomaly detection. Neural Networks 122: 364-373 (2020) - [j171]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) - [j170]Yu Xie, Yuanqiao Zhang, Maoguo Gong, Zedong Tang, Chao Han:
MGAT: Multi-view Graph Attention Networks. Neural Networks 132: 180-189 (2020) - [j169]Xiaolong Fan, Maoguo Gong, Yu Xie, Fenlong Jiang, Hao Li:
Structured self-attention architecture for graph-level representation learning. Pattern Recognit. 100: 107084 (2020) - [j168]Chao Han, Yu Lei, Yu Xie, Deyun Zhou, Maoguo Gong:
Visual domain adaptation based on modified A-distance and sparse filtering. Pattern Recognit. 104: 107254 (2020) - [j167]Maoguo Gong, Chuanyu Yao, Yu Xie, Mingliang Xu:
Semi-supervised network embedding with text information. Pattern Recognit. 104: 107347 (2020) - [j166]Yue Wu, Wenping Ma, Maoguo Gong, Zhuangfei Bai, Wei Zhao, Qiongqiong Guo, Xiaobo Chen, Qiguang Miao:
A Coarse-to-Fine Network for Ship Detection in Optical Remote Sensing Images. Remote. Sens. 12(2): 246 (2020) - [j165]Binge Cui, Jiandi Cui, Yan Lu, Nannan Guo, Maoguo Gong:
A Sparse Representation-Based Sample Pseudo-Labeling Method for Hyperspectral Image Classification. Remote. Sens. 12(4): 664 (2020) - [j164]Yue Wu, Zhuangfei Bai, Qiguang Miao, Wenping Ma, Yuelei Yang, Maoguo Gong:
A Classified Adversarial Network for Multi-Spectral Remote Sensing Image Change Detection. Remote. Sens. 12(13): 2098 (2020) - [j163]Lijia Ma, Xiaopeng Huang, Jianqiang Li, Qiuzhen Lin, Zhuhong You, Maoguo Gong, Victor C. M. Leung:
Privacy-Preserving Global Structural Balance Computation in Signed Networks. IEEE Trans. Comput. Soc. Syst. 7(1): 164-177 (2020) - [j162]Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Zhong Ming:
Cost-Aware Robust Control of Signed Networks by Using a Memetic Algorithm. IEEE Trans. Cybern. 50(10): 4430-4443 (2020) - [j161]Xiaolong Zheng, A. Kai Qin, Maoguo Gong, Deyun Zhou:
Self-Regulated Evolutionary Multitask Optimization. IEEE Trans. Evol. Comput. 24(1): 16-28 (2020) - [j160]Maoguo Gong, Cheng Chen, Yu Xie, Shanfeng Wang:
Community Preserving Network Embedding Based on Memetic Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 4(2): 108-118 (2020) - [j159]Maoguo Gong, Yingying Duan, Hao Li:
Group Self-Paced Learning With a Time-Varying Regularizer for Unsupervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 58(4): 2481-2493 (2020) - [j158]Tao Zhan, Maoguo Gong, Xiangming Jiang, Mingyang Zhang:
Unsupervised Scale-Driven Change Detection With Deep Spatial-Spectral Features for VHR Images. IEEE Trans. Geosci. Remote. Sens. 58(8): 5653-5665 (2020) - [j157]Xiangming Jiang, Maoguo Gong, Tao Zhan, Mingyang Zhang:
Multiobjective Endmember Extraction Based on Bilinear Mixture Model. IEEE Trans. Geosci. Remote. Sens. 58(11): 8192-8210 (2020) - [j156]Muwei Jian, Junyu Dong, Maoguo Gong, Hui Yu, Liqiang Nie, Yilong Yin, Kin-Man Lam:
Learning the Traditional Art of Chinese Calligraphy via Three-Dimensional Reconstruction and Assessment. IEEE Trans. Multim. 22(4): 970-979 (2020) - [j155]Jia Liu, Maoguo Gong, A. Kai Qin, Kay Chen Tan:
Bipartite Differential Neural Network for Unsupervised Image Change Detection. IEEE Trans. Neural Networks Learn. Syst. 31(3): 876-890 (2020) - [j154]Hongying Liu, Fanhua Shang, Shuyuan Yang, Maoguo Gong, Tianwen Zhu, Licheng Jiao:
Sparse Manifold-Regularized Neural Networks for Polarimetric SAR Terrain Classification. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3007-3016 (2020) - [c92]Yizhe Zhao, Hao Li, Yue Wu, Shanfeng Wang, Maoguo Gong:
Endmember Selection of Hyperspectral Images based on Evolutionary Multitask. CEC 2020: 1-7 - [c91]Jia Liu, Wenhua Zhang, Maoguo Gong, Haibo He:
Nucleus Neural Network: A Data-driven Self-organized Architecture. IJCNN 2020: 1-8 - [c90]Xiaolong Fan, Maoguo Gong, Hao Li, Yue Wu, Shanfeng Wang:
Gated Graph Pooling with Self-Loop for Graph Classification. IJCNN 2020: 1-7 - [c89]Chao Han, Deyun Zhou, Yu Xie, Yu Lei, Jiao Shi, Maoguo Gong:
Discrepancy-Aware Collaborative Representation for Unsupervised Domain Adaptation. IJCNN 2020: 1-6 - [i6]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) - [i5]Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong:
Differentially Private ADMM Algorithms for Machine Learning. CoRR abs/2011.00164 (2020) - [i4]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
- [j153]Huihui Dong, Wenping Ma, Yue Wu, Maoguo Gong, Licheng Jiao:
Local Descriptor Learning for Change Detection in Synthetic Aperture Radar Images via Convolutional Neural Networks. IEEE Access 7: 15389-15403 (2019) - [j152]Shuang Liang, Hao Li, Yun Zhu, Maoguo Gong:
Detecting Positive and Negative Changes From SAR Images by an Evolutionary Multi-Objective Approach. IEEE Access 7: 63638-63649 (2019) - [j151]Zhao Wang, Maoguo Gong:
Dynamic deployment optimization of near space communication system using a novel estimation of distribution algorithm. Appl. Soft Comput. 78: 569-582 (2019) - [j150]Zedong Tang, Maoguo Gong:
Adaptive multifactorial particle swarm optimisation. CAAI Trans. Intell. Technol. 4(1): 37-46 (2019) - [j149]Xinchao Zhao, Maoguo Gong, Xingquan Zuo, Linqiang Pan:
Guest Editorial: Advances in Bio-inspired Heuristics for Computing. CAAI Trans. Intell. Technol. 4(3): 127-128 (2019) - [j148]Chen Zhang, Xiongwei Hu, Yu Xie, Maoguo Gong, Bin Yu:
A Privacy-Preserving Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition. Frontiers Neurorobotics 13: 112 (2019) - [j147]