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2020 – today
- 2021
[j196]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)- [j195]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) - [j194]Ke Pan, Maoguo Gong, Kaiyuan Feng, Kun Wang:
Differentially private regression analysis with dynamic privacy allocation. Knowl. Based Syst. 217: 106795 (2021) - [j193]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) - [j192]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) - [j191]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) - [j190]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) - [j189]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) - [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) - [c93]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 - [i10]Mulin Chen, Maoguo Gong, Xuelong Li:
Feature Weighted Non-negative Matrix Factorization. CoRR abs/2103.13491 (2021) - [i9]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) - [i8]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) - [i7]Maoguo Gong, Yuan Gao, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong:
Multi-Party Dual Learning. CoRR abs/2104.06677 (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]Yue Wu, Maoguo Gong, Wenping Ma, Shanfeng Wang:
High-order graph matching based on ant colony optimization. Neurocomputing 328: 97-104 (2019) - [j146]Bingrui Geng, Licheng Jiao, Maoguo Gong, Lingling Li, Yue Wu:
A two-step personalized location recommendation based on multi-objective immune algorithm. Inf. Sci. 475: 161-181 (2019) - [j145]Yu Xie, Maoguo Gong, Shanfeng Wang, Wenfeng Liu, Bin Yu:
Sim2vec: Node similarity preserving network embedding. Inf. Sci. 495: 37-51 (2019) - [j144]Yu Xie, Maoguo Gong, A. Kai Qin, Zedong Tang, Xiaolong Fan:
TPNE: Topology preserving network embedding. Inf. Sci. 504: 20-31 (2019) - [j143]Maoguo Gong, Ke Pan, Yu Xie:
Differential privacy preservation in regression analysis based on relevance. Knowl. Based Syst. 173: 140-149 (2019) - [j142]Xudong Niu, Maoguo Gong, Tao Zhan, Yuelei Yang:
A Conditional Adversarial Network for Change Detection in Heterogeneous Images. IEEE Geosci. Remote. Sens. Lett. 16(1): 45-49 (2019) - [j141]Jia Liu, Maoguo Gong, Haibo He:
Deep associative neural network for associative memory based on unsupervised representation learning. Neural Networks 113: 41-53 (2019) - [j140]Maoguo Gong, Yuelei Yang, Tao Zhan, Xudong Niu, Shuwei Li:
A Generative Discriminatory Classified Network for Change Detection in Multispectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(1): 321-333 (2019) - [j139]Maoguo Gong, Aimin Zhou, A. Kai Qin, Linqiang Pan:
Guest editorial special issue on collaborative learning and optimization based on swarm and evolutionary computation. Swarm Evol. Comput. 47: 1-2 (2019) - [j138]Maoguo Gong, Xiangming Jiang, Hao Li, Kay Chen Tan:
Multiobjective Sparse Non-Negative Matrix Factorization. IEEE Trans. Cybern. 49(8): 2941-2954 (2019) - [j137]Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Zhong Ming:
Reliable Link Inference for Network Data With Community Structures. IEEE Trans. Cybern. 49(9): 3347-3361 (2019) - [j136]Maoguo Gong, Hao Li, Deyu Meng, Qiguang Miao, Jia Liu:
Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning. IEEE Trans. Evol. Comput. 23(2): 288-302 (2019) - [j135]Qiuzhen Lin, Songbai Liu, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello, Jianyong Chen, Jun Zhang:
A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. 23(3): 391-405 (2019) - [j134]Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang:
Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study. IEEE Trans. Evol. Comput. 23(5): 733-747 (2019) - [j133]Maoguo Gong, Zedong Tang, Hao Li, Jun Zhang:
Evolutionary Multitasking With Dynamic Resource Allocating Strategy. IEEE Trans. Evol. Comput. 23(5): 858-869 (2019) - [j132]Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu, Yifang Ban:
Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 57(4): 2277-2289 (2019) - [j131]Mingyang Zhang, Maoguo Gong, Yishun Mao, Jun Li, Yue Wu:
Unsupervised Feature Extraction in Hyperspectral Images Based on Wasserstein Generative Adversarial Network. IEEE Trans. Geosci. Remote. Sens. 57(5): 2669-2688 (2019) - [c88]Tao Wu, Jiao Shi, Deyun Zhou, Yu Lei, Maoguo Gong:
A Multi-objective Particle Swarm Optimization for Neural Networks Pruning. CEC 2019: 570-577 - [c87]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 - [c86]Zedong Tang, Maoguo Gong, Fenlong Jiang, Hao Li, Yue Wu:
Multipopulation Optimization for Multitask Optimization. CEC 2019: 1906-1913 - [c85]Xiaolong Zheng, Yu Lei, A. Kai Qin, Deyun Zhou, Jiao Shi, Maoguo Gong:
Differential Evolutionary Multi-task Optimization. CEC 2019: 1914-1921 - [c84]Shuang Liang, Hao Li, Maoguo Gong, Yue Wu, Yun Zhu:
Distributed Multi-Objective Community Detection in Large-Scale and Complex Networks. CIS 2019: 201-205 - [c83]Shuang Liang, Yun Zhu, Hao Li, Maoguo Gong:
Nearest-neighbour Joint Probabilistic Data Association Filter Based on Random Finite Set. ICCAIS 2019: 1-6 - [c82]Hongying Liu, Zhongshu Wang, Fanhua Shang, Mingyang Zhang, Maoguo Gong, Feihang Ge, Licheng Jiao:
A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images. ICDM Workshops 2019: 165-171 - [c81]Tao Zhan, Maoguo Gong:
A Hybrid Change Detection Method using Deep Feature Representations for VHR Images. MultiTemp 2019: 1-4 - [i3]Jia Liu, Maoguo Gong, Haibo He:
Nucleus Neural Network for Super Robust Learning. CoRR abs/1904.04036 (2019) - 2018
- [j130]Mingyang Zhang, Maoguo Gong, Yongqiang Chan:
Hyperspectral band selection based on multi-objective optimization with high information and low redundancy. Appl. Soft Comput. 70: 604-621 (2018) - [j129]Hao Li, Maoguo Gong, Congcong Wang, Qiguang Miao:
Self-paced stacked denoising autoencoders based on differential evolution for change detection. Appl. Soft Comput. 71: 698-714 (2018) - [j128]Jingjing Ma, Xiangming Jiang, Maoguo Gong:
Two-phase clustering algorithm with density exploring distance measure. CAAI Trans. Intell. Technol. 3(1): 59-64 (2018) - [j127]Wenfeng Liu, Maoguo Gong, Shanfeng Wang, Lijia Ma:
A two-level learning strategy based memetic algorithm for enhancing community robustness of networks. Inf. Sci. 422: 290-304 (2018) - [j126]Hao Li, Maoguo Gong, Qiguang Miao, Bin Wang:
Interactive active contour with kernel descriptor. Inf. Sci. 450: 53-72 (2018) - [j125]Dayong Tian, Maoguo Gong:
A novel edge-weight based fuzzy clustering method for change detection in SAR images. Inf. Sci. 467: 415-430 (2018) - [j124]Tao Wu, Jiao Shi, Xiangming Jiang, Deyun Zhou, Maoguo Gong:
A multi-objective memetic algorithm for low rank and sparse matrix decomposition. Inf. Sci. 468: 172-192 (2018) - [j123]Yue Wu, Qiguang Miao, Wenping Ma, Maoguo Gong, Shanfeng Wang:
PSOSAC: Particle Swarm Optimization Sample Consensus Algorithm for Remote Sensing Image Registration. IEEE Geosci. Remote. Sens. Lett. 15(2): 242-246 (2018) - [j122]Tao Zhan, Maoguo Gong, Xiangming Jiang, Shuwei Li:
Log-Based Transformation Feature Learning for Change Detection in Heterogeneous Images. IEEE Geosci. Remote. Sens. Lett. 15(9): 1352-1356 (2018) - [j121]Yu Xie, Maoguo Gong, Shanfeng Wang, Bin Yu:
Community discovery in networks with deep sparse filtering. Pattern Recognit. 81: 50-59 (2018) - [j120]Zhun Fan, Jiewei Lu, Maoguo Gong, Honghui Xie, Erik D. Goodman:
Automatic Tobacco Plant Detection in UAV Images via Deep Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 876-887 (2018) - [j119]Lijia Ma, Maoguo Gong, Jianan Yan, Wenfeng Liu, Shanfeng Wang:
Detecting composite communities in multiplex networks: A multilevel memetic algorithm. Swarm Evol. Comput. 39: 177-191 (2018) - [j118]Jiaxiang Huang, Maoguo Gong, Lijia Ma:
A Global Network Alignment Method Using Discrete Particle Swarm Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 705-718 (2018) - [j117]Xiangming Jiang, Maoguo Gong, Hao Li, Mingyang Zhang, Jun Li:
A Two-Phase Multiobjective Sparse Unmixing Approach for Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 56(1): 508-523 (2018) - [j116]Jia Liu, Maoguo Gong, A. Kai Qin, Puzhao Zhang:
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images. IEEE Trans. Neural Networks Learn. Syst. 29(3): 545-559 (2018) - [j115]Jia Liu, Maoguo Gong, Qiguang Miao, Xiaogang Wang, Hao Li:
Structure Learning for Deep Neural Networks Based on Multiobjective Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2450-2463 (2018) - [j114]Wei Zhao, Shulong Tan, Ziyu Guan, Boxuan Zhang, Maoguo Gong, Zhengwen Cao, Quan Wang:
Learning to Map Social Network Users by Unified Manifold Alignment on Hypergraph. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5834-5846 (2018) - [c80]Can Qin, Maoguo Gong, Yue Wu, Dayong Tian, Puzhao Zhang:
Efficient Scene Labeling via Sparse Annotations. AAAI Workshops 2018: 194-201 - [c79]Xiangming Jiang, Maoguo Gong, Tao Zhan, Zedong Tang:
Multiobjective sparse unmixing approach with noise removal. GECCO 2018: 681-688 - [c78]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 - [c77]Qixiang Wang, Shanfeng Wang, Maoguo Gong, Yue Wu:
Feature Hashing for Network Representation Learning. IJCAI 2018: 2812-2818 - 2017
- [b1]Maoguo Gong, Qing Cai, Lijia Ma, Shanfeng Wang, Yu Lei:
Computational Intelligence for Network Structure Analytics. Springer 2017, ISBN 978-981-10-4557-8, pp. 1-283 - [j113]Hongbing Li, Shanfeng Wang, Maoguo Gong, Qiang Chen, Liwan Chen:
IM2DCA: Immune mechanism based multipath decoupling connectivity algorithm with fault tolerance under coverage optimization in wireless sensor networks. Appl. Soft Comput. 58: 540-552 (2017) - [j112]Hongrun Wu, Li Kuang, Feng Wang, Qi Rao, Maoguo Gong, Yuanxiang Li:
A multiobjective box-covering algorithm for fractal modularity on complex networks. Appl. Soft Comput. 61: 294-313 (2017) - [j111]Maoguo Gong:
Preface. CAAI Trans. Intell. Technol. 2(2): 63 (2017) - [j110]Huming Zhu, Yanfei Wu, Pei Li, Peng Zhang, Zhe Ji, Maoguo Gong:
An OpenCL-accelerated parallel immunodominance clone selection algorithm for feature selection. Concurr. Comput. Pract. Exp. 29(9) (2017) - [j109]Maoguo Gong, Xiangming Jiang, Hao Li:
Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework. Frontiers Comput. Sci. 11(3): 362-391 (2017) - [j108]Yu Lei, Maoguo Gong, Licheng Jiao, Jiao Shi, Yu Zhou:
An adaptive coevolutionary memetic algorithm for examination timetabling problems. Int. J. Bio Inspired Comput. 10(4): 248-257 (2017) - [j107]Fei Cheng, Kai Liu, Maoguo Gong, Kaiyuan Fu, Jiangbo Xi:
Robust visual tracking via randomly projected instance learning. Int. J. Intell. Comput. Cybern. 10(3): 258-271 (2017) - [j106]