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2017年春季每周讨论时间安排:周二上午09:00~12:00(主楼二区424)

 

推荐学生阅读:(三个研究方向分别推荐阅读五篇论文:文献[1]为相关的综述论文,建议优先阅读,以便了解相关背景知识;文献[2]为较早发表的论文,内容相对简单,建议认真阅读并编程实现,以便加深理解;文献[3]-[5]的内容相对较新,可作进一步思考。)

 

★方向一:计算智能模型与算法(进化优化与学习、深度神经网络学习、模糊推理与决策)

1.       M. Gong, L. Jiao, D. Yang, W. Ma. Research on Evolutionary Multi-Objective Optimization Algorithms. Journal of Software, Vol. 20, No. 2, 2009: 271-289. (A Chinese survey of Evolutionary Multi-Objective Optimization, Forerunners 5000 Top Chinese S&T Paper, more than 300 citations)

2.       M. Gong, L. Jiao, H. Du, L. Bo. Multiobjective Immune Algorithm with Nondominated Neighbor-based Selection. Evolutionary Computation, MIT Press, Vol.16, No.2, 2008: 225-255.

3.       Y. Lei, M. Gong, J. Zhang, W. Li, L. Jiao. Resource Allocation Model and Double-Sphere Crowding Distance for Evolutionary Multi-objective Optimization. European Journal of Operational Research, Vol. 234, No. 1, 2014: 197-208.

4.       M. Gong, J. Liu, H. Li, Q. Cai, L. 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.

5.       M. Gong, H. Li, X. Zhang, Q. Zhao, B. Wang. Nonparametric Statistical Active Contour based on Inclusion Degree of Fuzzy Sets.  IEEE Transactions on Fuzzy Systems,Vol. 24, No. 5, 2016: 1176-1192.

 

★方向二:基于计算智能的网络数据分析 (网络结构分析、网络鲁棒性分析、影响最大化)

1.       M. Gong, Q. Cai, L. Ma, L. Jiao. Big Network Analytics Based on Nonconvex Optimization.Big Data Optimization, a book published by Springer, 2016.

2.       M. Gong, B. Fu, L. Jiao, H. Du. Memetic Algorithm for Community Detection in Networks. Physical Review E, Vol. 84, No. 5, 2011: 056101.

3.       M. Gong, Q. Cai, X. Chen, L. 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.

4.       Y. Zuo, M. Gong, J. Zeng, L. Ma, L. Jiao. Personalized Recommendation based on Evolutionary Multi-objective Optimization. IEEE Computational Intelligence Magazine, Vol. 10, No. 1, 2015: 52-62.

5.       M. Gong, C. Song, C. Duan, L. Ma, B. Shen. An Efficient Memetic Algorithm for Influence Maximization in Social Networks. IEEE Computational Intelligence Magazine, Vol. 11, No. 3, 2016: 22-33.

 

★方向三:基于计算智能的雷达与遥感影像数据分析 (特征学习、配准、变化检测与分析)

1.       M. Gong, L. Su, H. Li, J. Liu. A survey on change detection in synthetic aperture radar images(in Chinese, invited paper). Journal of Computer Research and Development, Vol. 53, No. 1, 2016: 123-137.

2.       M. Gong, Z. Zhou, J. 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.

3.       M. Gong, J. Zhao, J. Liu, Q. Miao, L. 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.

4.       M. Gong, T. Zhan, P. Zhang, Q. Miao. Superpixel-based Difference Representation Learning for Change Detection in Multispectral Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 2017, DOI: 10.1109/TGRS.2017.2650198.

5.       J. Liu, M. Gong, A. K. Qin, P. Zhang. A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images. IEEE Transactions on Neural Networks and Learning Systems, 2017, DOI: 10.1109/TNNLS.2016.2636227.

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