Caihong Mu  

Professor

Department:

Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,

International Research Center for Intelligent Perception and Computation,

Xidian University,

Xi’an, Shannxi Province 710071,

China

Address:

Mailbox 226, Xidian University, No.2 South TaiBai Road, Xi\\\'an 710071, China

Office:

Email: mucaihongxd@foxmail.com

Caihong Mu, Professor. She received the Bachelor Degree in Information Engineering, the Master and Ph.D. Degrees in Circuits and Systems from Xidian University, Xi'an, China, in 2001, 2004 and 2010, respectively. Since 2004, she has been a Teacher with Xidian University. She is currently a professor with the Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, School of Artificial Intelligence, Xidian University. Her research interests include deep learning, evolutionary computation and their applications in remote sensing and recommender systems.

[44] 黄河源, 慕彩红*, 方云飞, 刘逸. 使用图负采样的图卷积神经网络推荐算法[J]. 西安电子科技大学学报, 2024, 51(1): 86-99.

[43] Caihong Mu, Heyuan Huang, Yunfei Fang, Yi Liu*. A Graph Convolutional Neural Network for Recommendation Based on Community Detection and Combination of Multiple Heterogeneous Graphs[C]. 23nd IEEE International Conference on Data Mining (ICDM), Shanghai, China, Dec. 1-4, 2023. (CCF-B)

[42] Yunfei Fang, Caihong Mu, Yi Liu*. AutoShape: Automatic Design of Click-Through Rate Prediction Models Using Shapley Value[C]. 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI), Jakarta, Indonesia, Nov. 15-19, 2023. (CCF-C)

[41] Jian Zhu, Yi Liu*, Jiajie Feng, Caihong Mu. A Multi-scale Densely Connected and Feature Aggregation Network for Hyperspectral Image Classification[C]. 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI), Jakarta, Indonesia, Nov. 15-19, 2023. (CCF-C)

[40] Caihong Mu, Zeyu Zhang*, Suling Chen, Yi Liu. A Dual-Branch Network Based on Transformer and Depthwise Convolution for Hyperspectral Image Classification[C]. 2023 International Conference on Cyber-Physical Social Intelligence (ICCSI), Xi\'an, China, Oct. 20-23, 2023.

[39] Yi Liu, Jian Zhu, Jiajie Feng, Caihong Mu*. A Feature Embedding Network with Multiscale Attention for Hyperspectral Image Classification[J]. Remote Sensing, 2023, 15(13): 3338.

[38] Caihong Mu, Xin Tang, Jiashen Luo*, Yi Liu. GMiRec: A Multi-image Visual Recommendation Model Based on a Gated Neural Network[C]. 16th International Conference on Knowledge Science, Engineering and Management (KSEM), Guangzhou, China, Aug. 16-18, 2023. (CCF-C)

[37] Caihong Mu, Jiahui Ying, Yunfei Fang*, Yi Liu. A Graph Neural Network for Cross-domain Recommendation Based on Transfer and Inter-domain Contrastive Learning[C]. 16th International Conference on Knowledge Science, Engineering and Management (KSEM), Guangzhou, China, Aug. 16-18, 2023. (CCF-C)

[36] Jiahuan Chen*, Caihong Mu, Mohammed Alloaa, Yi Liu. A Hypergraph Augmented and Information Supplementary Network for Session-Based Recommendation[C]. 16th International Conference on Knowledge Science, Engineering and Management (KSEM), Guangzhou, China, Aug. 16-18, 2023. (CCF-C)

[35] Mu Caihong, Huang Heyuan*, Liu Yi, Luo Jiashen. Graph Convolutional Neural Network based on the Combination of Multiple Heterogeneous Graphs[C]. 22nd IEEE International Conference on Data Mining Workshops (ICDMW), Orlando, FL, USA, Nov. 28 - Dec. 1, 2022.

[34] Mu Caihong, Dong Zhidong, Liu Yi*. A Two-Branch Convolutional Neural Network Based on Multi-Spectral Entropy Rate Superpixel Segmentation for Hyperspectral Image Classification[J]. Remote Sensing, 2022; 14(7):1569.

[33] Mu Caihong*, Chen Weizhu, Liu Yi, Lei Dongchang, Liu Ruochen. Virtual Information Core Optimization for Collaborative Filtering Recommendation Based on Clustering and Evolutionary Algorithm[J]. Applied Soft Computing, 2022, 116: 108355.

[32] Mu Caihong*, Zeng Qize, Liu Yi, Qu Yi. A Two-Branch Network Combined With Robust Principal Component Analysis for Hyperspectral Image Classification[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 18(12): 2147-2151.

[31] Mu Caihong, Liu Yijin, Liu Yi*. Hyperspectral Image Spectral–Spatial Classification Method Based on Deep Adaptive Feature Fusion[J]. Remote Sensing, 2021, 13(4): 746.

[30] Liu Jing*, Yang Zhe, Liu Yi, Mu Caihong. Hyperspectral Remote Sensing Images Deep Feature Extraction Based on Mixed Feature and Convolutional Neural Networks[J]. Remote Sensing, 2021, 13(13): 2599.

[29] Liu Jing*, Zhang You, Liu Yi, Mu Caihong. Hyperspectral Images Unmixing Based on Abundance Constrained Multi-Layer KNMF[J]. IEEE Access, 2021, 9: 91080-91090.

[28] Guo Zhen, Mu Caihong*, Liu Yi. A Multi-Branch Network based on Weight Sharing and Attention Mechanism for Hyperspectral Image Classification[C]. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021: 5370-5373.

[27] Mu Caihong*, Guo Zhen, Liu Yi*. A Multi-Scale and Multi-Level Spectral-Spatial Feature Fusion Network for Hyperspectral Image Classification[J]. Remote Sensing, 2020, 12(1): 125, 1-23.

[26] Mu Caihong*, Liu Jian, Liu Yi, Liu Yijin. Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion using Spatial Coordinates[J]. IEEE Access, 2020, 8: 6768-6781.

[25] Liu Jing*, Guo Ximei, Liu Yi. Hyperspectral remote sensing image feature extraction based on spectral clustering and subclass discriminant analysis[J]. Remote Sensing Letters, 2020, 11(2): 166-175.

[24] Mu Caihong*, Li Chengzhou, Liu Yi, Qu Rong, Jiao Licheng. Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images[J]. Applied Soft Computing, 2019, 84: 105727, 1-16.

[23] Mu Caihong, Zhang Jian, Liu Yi*, Qu Rong, Huang Tianhuan. Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks[J]. Soft Computing, 2019, 23: 12683-12709.

[22] Liu Jing*, Li Qingyan, Liu Yi. Spectral feature extraction of hyperspectral remote sensing images based on class pair-weighted criterion[J]. Journal of Applied Remote Sensing, 2019, 13(4): 046504.

[21] 慕彩红, 吴生财, 刘逸*, 彭鹏, 刘若辰. SAR图像NSCT域显著图去噪变化检测[J]. 西安电子科技大学学报, 2018, 45(2): 19-25.

[20] 慕彩红, 柴文壹, 刘逸*, 刘敬. 一种改进的网络鲁棒性与有效性增强方法[J]. 西安电子科技大学学报, 2018, 45(4): 6-11.

[19] Liu Ruochen*, Li Jianxia, Fan Jing, Mu Caihong, Jiao Licheng. A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization[J]. European Journal of Operational Research, 2017, 261(3): 1028-1051.

[18] Mu Caihong*, Cheng Huiwen, Feng Wei, Liu Yi, Qu Rong. Information Core Optimization Using Evolutionary Algorithm with Elite Population in Recommender Systems[C]. IEEE Congress on Evolutionary Computation (CEC), 2017: 1143-1149.

[17] Mu Caihong*, Li Chengzhou, Liu Yi, Sun Menghua, Jiao Licheng and Qu Rong. Change Detection in SAR Images Based on the Salient Map Guidance and an Accelerated Genetic Algorithm[C]. IEEE Congress on IEEE Evolutionary Computation (CEC), 2017: 1150-1157.

[16] Mu Caihong*, Xie Jin, Liu Yong, Chen Feng, Liu Yi, Jiao Licheng. Memetic Algorithm with Simulated Annealing Strategy and Tightness Greedy Optimization for Community Detection in Networks[J]. Applied Soft Computing, 2015, 34: 485-501.

[15] Liu Yi*, Mu Caihong, Kou Weidong, Liu Jing. Modified particle swarm optimization-based multilevel thresholding for image segmentation[J]. Soft Computing, 2015, 19(5): 1311-1327.

[14] Mu Caihong*, Jiao Licheng, Liu Yi, Li Yangyang. Multiobjective nondominated neighbor coevolutionary algorithm with elite population[J]. Soft Computing, 2015, 19(5): 1329-1349.

[13] 慕彩红*, 霍利利, 刘逸, 刘若辰，焦李成. 基于小波融合和PCA-核模糊聚类的遥感图像变化检测[J]. 电子学报, 2015, 43(7): 1375-1381.

[12] 刘逸*, 慕彩红, 刘敬. 结合邻域信息粒子群聚类用于SAR图像变化检测[J]. 西安电子科技大学学报, 2015, 42(1): 187-193.

[11] Liu Ruochen*, Niu Xu, Fan Jing, Mu Caihong, Jiao Licheng. An orthogonal predictive model-based dynamic multi-objective optimization algorithm[J]. Soft Computing, 2015, 19(11): 3083-3107.

[10] Mu Caihong*, Liu Yong, Liu Yi, Wu Jianshe, Jiao Licheng. Two-stage algorithm using influence coefficient for detecting the hierarchical, non-overlapping and overlapping community structure[J]. Physica A: Statistical Mechanics and its Applications, 2014, 408: 47-61.

[9] Liu Ruochen*, Chen Yangyang, Ma Wenping, Mu Caihong, Jiao Licheng. A novel cooperative coevolutionary dynamic multi-objective optimization algorithm using a new predictive model[J]. Soft Computing, 2014, 18(10): 1913-1929.

[8] Liu Ruochen*, Wang Lixia, Ma Wenping, Mu Caihong, Jiao Licheng. Quadratic interpolation based orthogonal learning particle swarm optimization algorithm[J]. Natural Computing, 2014, 13(1): 17-37.

[7] Mu Caihong*, Xie Jin, Liu Ruochen, Jiao Licheng. A memetic algorithm using local structural information for detecting community structure in complex networks[C]. IEEE Congress on Evolutionary Computation (CEC), 2014: 680-686.

[6] Mu Caihong*, Zhang Jian, Jiao Licheng. An intelligent ant colony optimization for community detection in complex networks[C]. IEEE Congress on Evolutionary Computation (CEC), 2014: 700-706.

[5] 刘逸*, 寇卫东, 慕彩红. 结合多阈值法的模糊聚类用于SAR图像变化检测[J]. 西安电子科技大学学报, 2013, 40(6): 13-18.

[4] 慕彩红*, 焦李成, 刘逸. M-精英协同进化算法求解约束优化问题[J]. 西安电子科技大学学报, 2010, 37(5): 2443-2448.

[3] 慕彩红*, 焦李成, 刘逸. M-精英协同进化数值优化算法[J]. 软件学报, 2009, 20(11): 2925-2938.

[2] 慕彩红*, 焦李成, 刘逸. M-精英进化算法及其在V-BLAST系统中的应用[J]. 电子与信息学报, 2009, 31(10): 2443-2448.

[1] Mu Caihong*, Zhu Mingming. Clonal selection detection algorithm for the V-BLAST system[C]. International Conference on Natural Computation (ICNC), 2006: 402-411.

 Academic activities: