OMEGAis a collaborative innovation center for Computational Intelligence (CI), established jointly by CI reseachers from Xidian University & Northwestern Polytechnical University, Xi'an, China. In 2012,OMEGAwas appointed as the Innovative Research Team of Shaanxi Province, China.
'OMEGA' means'Optimization andMining Knowledge viaArtificial Intelligence'.OMEGAdedicates to pursuing fundamental research and engineering application of Computational Intelligence methods to creating innovative solutions. The special interests ofOMEGAinclude
CI Model and Algorithm(Evolutionary Optimization, Deep Network Learning, Fuzzy Information Processing)
CI-based Network Analytics(Network Structure, Network Robustness, Network Prediction)
CI-based Radar and Remote Sensing Image Understanding(Registration,Feature Learning,Change Detection)
Various Real-world Applications
Currently, there are four full-time members, three visiting reseachers, seventeen PhD students and over tweenty master students in theOMEGA. The founding and current head ofOMEGAisProf.Maoguo Gong.
Maoguo Gong, Zedong Tang, Hao Li, Jun Zhang.Evolutionary Multitasking with Dynamic Resource Allocating Strategy.IEEE Transactions on Evolutionary Computation, 2019, in press.
Hao Li, Yew-Soon Ong,Maoguo Gong, Zhenkun Wang.Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study.IEEE Transactions on Evolutionary Computation, 2018, in press.
Maoguo Gong, Hao Li, Deyu Meng, Qiguang Miao.Decomposition-Based Evolutionary Multi-objective Optimization to Self-paced Learning.IEEE Transactions on Evolutionary Computation, Vol. 23, No. 2, 2019: 288-302.
Maoguo Gong, Hao Li, Enhu Luo, Jing Liu, Jia Liu.A Multi-objective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing.IEEE Transactions on Evolutionary Computation, Vol. 21, No. 2, 2017: 234-248.
Maoguo Gong, Zhao Wang, Zexuan Zhu, Licheng Jiao.A Similarity-Based Multiobjective Evolutionary Algorithm for Deployment Optimization of Near Space Communication System.IEEE Transactions on Evolutionary Computation, Vol. 21, No. 6, 2017: 878-897.
Qing Cai,Maoguo Gong, Shasha Ruan, Qiguang Miao, Haifeng Du.Network Structural Balance Based on Evolutionary Multiobjective Optimization: A Two-Step Approach.IEEE Transactions on Evolutionary Computation, Vol. 19, No. 6, 2015: 903-916.
Maoguo Gong, Qing Cai, Xiaowei Chen, Lijia Ma.Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition.IEEE Transactions on Evolutionary Computation, Vol. 18, No. 1, 2014: 82-97.
Jia Liu,Maoguo Gong, AK Qin, Kay Chen Tan.Bipartite Convolutional Neural Network for Unsupervised Image Change Detection.IEEE Transactions on Neural Networks and Learning Systems, 2019, in press.
Jia Liu,Maoguo Gong, Qiguang Miao, Xiaogang Wang, Hao Li.Structure Learning for Deep Neural Networks Based on Multiobjective Optimization.IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 6, 2018: 2450-2463.
Jia Liu,Maoguo Gong, Kai Qin, Puzhao Zhang.A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images.IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 3, 2018: 545-559.
Maoguo Gong, Jiaojiao Zhao, Jia Liu, Qiguang Miao, Licheng Jiao.Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks.IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, No. 1, 2016: 125-138.
Maoguo Gong, Jia Liu, Hao Li, Qing Cai, Linzhi Su.A Multiobjective Sparse Feature Learning Model for Deep Neural Networks.IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 12, 2015: 3263-3277.
Maoguo Gong, Hao Li, Xiang Zhang, Qiunan Zhao, Bin Wang.Nonparametric Statistical Active Contour based on Inclusion Degree of Fuzzy Sets.IEEE Transactions on Fuzzy Systems, Vol. 24, No. 5, 2016: 1176-1192.
Maoguo Gong, Linzhi Su, Meng Jia, Weisheng Chen.Fuzzy Clustering with Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images.IEEE Transactions on Fuzzy Systems, Vol. 22, No. 1, 2014: 98-109.
Maoguo Gong, Chao Song, Chao Duan, Lijia Ma, Bo Shen.An Efficient Memetic Algorithm for Influence Maximization in Social Networks.IEEE Computational Intelligence Magazine, Vol. 11, No. 3, 2016: 22-33.
Yi Zuo,Maoguo Gong, Jiulin Zeng, Lijia Ma, Licheng Jiao.Personalized Recommendation based on Evolutionary Multi-objective Optimization.IEEE Computational Intelligence Magazine, Vol. 10, No. 1, 2015: 52-62.
Hao Li,Maoguo Gong, Congcong Wang, Qiguang Miao.Pareto Self-paced Learning based on Differential Evolution.IEEE Transactions on Cybernetics, 2019, in press.
Maoguo Gong, Xiangming Jiang, Hao Li, Kay Chen Tan.Multi-objective Sparse Nonnegative Matrix Factorization.IEEE Transactions on Cybernetics, Vol. 49, No. 8, 2019: 2941-2954.
Mingyang Zhang,Maoguo Gong, Yishun Mao, Jun Li, Yue Wu.Unsupervised Feature Extraction in Hyperspectral Images Based on Wasserstein Generative Adversarial Network.IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 5, 2019: 2669-2688.
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 Transactions on Geoscience and Remote Sensing, Vol. 57, No. 4, 2018: 2277-2289.
Xiangming Jiang,Maoguo Gong, Hao Li, Mingyang Zhang, Jun Li.A Two-phase Multi-objective Sparse Unmixing Approach for Hyperspectral Data.IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 1, 2018: 508-523.
Maoguo Gong, Tao Zhan, Puzhao Zhang, Qiguang Miao.Superpixel-based Difference Representation Learning for Change Detection in Multispectral Remote Sensing Images.IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 5, 2017: 2658-2673.
Maoguo Gong, Puzhao Zhang, Linzhi Su, Jia Liu.Coupled Dictionary Learning for Change Detection from Multi-source Data.IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 12, 2016: 7077-7091.
Maoguo Gong, Mingyang Zhang, Yuan Yuan.Unsupervised Band Selection Based on Evolutionary Multi-objective Optimization for Hyperspectral Images.IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 1, 2016: 544-557.
Yu Li,Maoguo Gong, Licheng Jiao, Lin Li, Rustam Stolkin.Change-detection Map Learning using Matching Pursuit.IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, No. 8, 2015: 4712-4723.
Maoguo Gong, Shengmeng Zhao, Licheng Jiao, Dayong Tian, Shuang Wang.A Novel Coarse-to-Fine Scheme for Automatic Image Registration based on SIFT and Mutual Information.IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 7, 2014: 4328-4338.
Maoguo Gong, Yuelei Yang, Tao Zhan, Xudong Niu.A Generative Discriminatory Classified Network for Change Detection in Multispectral Imagery.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 12, No.1, 2019: 321-333.
Maoguo Gong, Yan Liang, Jiao Shi, Wenping Ma, Jingjing Ma.Fuzzy C-Means Clustering with Local Information and Kernel Metric for Image Segmentation.IEEE Transactions on Image Processing, Vol. 22, No. 2, 2013: 573-584.
Maoguo Gong, Zhiqiang Zhou, Jingjing Ma.Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering.IEEE Transactions on Image Processing, Vol. 21, No. 4, 2012: 2141-2151.
Dr. Maoguo Gong received the B. Eng degree and Ph.D. degree from Xidian University. Since 2006, he has been a teacher of Xidian University. He was promoted to associate professor and full professor in 2008 and 2010, respectively, both with exceptive admission.
Gong’s research interests are broadly in the area of computational intelligence, with applications to optimization, learning, data mining and image understanding. He has published over one hundred papers in journals and conferences, and holds over twenty granted patents as the first inventor. He is leading or has completed over ten projects as the Principle Investigator, funded by the National Natural Science Foundation of China, the National Key Research and Development Program of China, and others. He was the recipient of the prestigious National Program for Support of the Leading Innovative Talents (selected by the Central Organization Department of China), the Leading Innovative Talent in the Science and Technology (selected by the Ministry of Science and Technology of China), the Excellent Young Scientist Foundation (selected by the National Natural Science Foundation of China), the New Century Excellent Talent in University (selected by the Ministry of Education of China), the Young Teacher Award by the Fok Ying Tung Education Foundation, and the National Natural Science Award of China.
He is the Executive Committee Member of Chinese Association for Artificial Intelligence, Senior Member of IEEE and Chinese Computer Federation, Associate Editor or Editorial Board Member for over five journals including theIEEE Transactions on Evolutionary Computationand theIEEE Transactions on Neural Networks and Learning Systems.
Contact information:
Address:No. 2 South Taibai Road, Xi'an, China
Email:gong@ieee.org