[48] Yi Liu, Shanjiao Jiang, Yijin Liu, Caihong Mu*. Spatial Feature Enhancement and Attention-Guided Bidirectional Sequential Spectral Feature Extraction for Hyperspectral Image Classification[J]. Remote Sensing, 16(17): 3124, 2024.

[47] Caihong Mu, Yu Liu, Xiangrong Yan, Aamir Ali, Yi Liu*. Few-Shot Open-Set Hyperspectral Image Classification With Adaptive Threshold Using Self-Supervised Multitask Learning[J]. IEEE Transactions on Geoscience and Remote Sensing, 62: 5526618, 2024.

( Full paper: https://doi.org/10.1109/TGRS.2024.3441617  )

( Code: https://github.com/yuliu213/SSMTL  )

[46] Caihong Mu, Haikun Yu, Keyang Zhang, Qiang Tian, Yi Liu*. AutoMaster: Differentiable Graph Neural Network Architecture Search for Collaborative Filtering Recommendation[C]. 24th International Conference on Web Engineering (ICWE), Tampere, Finland, June 17-20, 2024. (CCF推荐C类会议, 录取率当年为24%左右)

[45] Aamir Ali, Caihong Mu, Zeyu Zhang, Jian Zhu, Yi Liu*. A two-branch multiscale spectral-spatial feature extraction network for hyperspectral image classification[J]. Journal of Information and Intelligence, 2024, 2(3): 224–235.

[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推荐B类会议, 录取率当年为20%左右)

[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. (录取为长文Regular Paper, CCF推荐C类会议, 长文录取率当年为25%左右)

[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. (录取为长文Regular Paper, CCF推荐C类会议, 长文录取率当年为25%左右)

[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. (录取为长文Full Paper, CCF推荐C类会议, 长文录取率常年为20%左右)

[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推荐C类会议, 录取率常年为30%左右)

[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推荐C类会议, 录取率常年为30%左右)

[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.