Caihong Mu

According to our database, Caihong Mu authored at least 40 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Spatial Feature Enhancement and Attention-Guided Bidirectional Sequential Spectral Feature Extraction for Hyperspectral Image Classification.

Yi Liu, Shanjiao Jiang, Yijin Liu, Caihong Mu

Remote. Sens., September, 2024

Few-Shot Open-Set Hyperspectral Image Classification With Adaptive Threshold Using Self-Supervised Multitask Learning.

Caihong Mu, Yu Liu, Xiangrong Yan, Aamir Ali, Yi Liu

IEEE Trans. Geosci. Remote. Sens., 2024

A Multi-Attention Network with Multi-Level Spatial-Spectral Feature Fusion Based on Band Selection for Hyperspectral Image Classification.

Yujie Yan, Yi Liu, Yafeng Wang, Caihong Mu

Proceedings of the International Joint Conference on Neural Networks, 2024

Block Pruning And Collaborative Distillation For Image Classification Of Remote Sensing.

Xiaokai Wang, Rongfang Wang, Changzhe Jiao, Yi Niu, Caihong Mu

Proceedings of the IGARSS 2024, 2024

Multi-interest Awareness Model for Session-based Recommendation.

Caihong Mu, Jiahuan Chen, Yunlong Chen, Yi Liu

Proceedings of the IEEE International Conference on Web Services, 2024

AutoMaster: Differentiable Graph Neural Network Architecture Search for Collaborative Filtering Recommendation.

Caihong Mu, Haikun Yu, Keyang Zhang, Qiang Tian, Yi Liu

Proceedings of the Web Engineering - 24th International Conference, 2024

2023

A Feature Embedding Network with Multiscale Attention for Hyperspectral Image Classification.

Yi Liu, Jian Zhu, Jiajie Feng, Caihong Mu

Remote. Sens., July, 2023

A Multi-scale Densely Connected and Feature Aggregation Network for Hyperspectral Image Classification.

Jian Zhu, Yi Liu, Jiajie Feng, Caihong Mu

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

AutoShape: Automatic Design of Click-Through Rate Prediction Models Using Shapley Value.

Yunfei Fang, Caihong Mu, Yi Liu

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

A Graph Neural Network for Cross-domain Recommendation Based on Transfer and Inter-domain Contrastive Learning.

Caihong Mu, Jiahui Ying, Yunfei Fang, Yi Liu

Proceedings of the Knowledge Science, Engineering and Management, 2023

GMiRec: A Multi-image Visual Recommendation Model Based on a Gated Neural Network.

Caihong Mu, Xin Tang, Jiashen Luo, Yi Liu

Proceedings of the Knowledge Science, Engineering and Management, 2023

A Hypergraph Augmented and Information Supplementary Network for Session-Based Recommendation.

Jiahuan Chen, Caihong Mu, Mohammed Alloaa, Yi Liu

Proceedings of the Knowledge Science, Engineering and Management, 2023

A Lite-CNN for Landslides Recognition on Remote Sensing Images Via Structure Pruning.

Xiaokai Wang, Jia-Wei Chen, Rongfang Wang, Chunlei Huo, Yi Niu, Caihong Mu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Graph Convolutional Neural Network for Recommendation Based on Community Detection and Combination of Multiple Heterogeneous Graphs.

Caihong Mu, Heyuan Huang, Yunfei Fang, Yi Liu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

A Two-Branch Convolutional Neural Network Based on Multi-Spectral Entropy Rate Superpixel Segmentation for Hyperspectral Image Classification.

Caihong Mu, Zhidong Dong, Yi Liu

Remote. Sens., 2022

Virtual information core optimization for collaborative filtering recommendation based on clustering and evolutionary algorithms.

Caihong Mu, Weizhu Chen, Yi Liu, Dongchang Lei, Ruochen Liu

Appl. Soft Comput., 2022

A Two-Branch Neural Network Based on Superpixel Segmentation and Auxiliary Samples.

Zhidong Dong, Caihong Mu, Haikun Yu, Yi Liu

Proceedings of the Intelligence Science IV, 2022

Graph Convolutional Neural Network based on the Combination of Multiple Heterogeneous Graphs.

Caihong Mu, Heyuan Huang, Yi Liu, Jiashen Luo

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Hyperspectral Image Spectral-Spatial Classification Method Based on Deep Adaptive Feature Fusion.

Caihong Mu, Yijin Liu, Yi Liu

Remote. Sens., 2021

Hyperspectral Remote Sensing Images Deep Feature Extraction Based on Mixed Feature and Convolutional Neural Networks.

Jing Liu, Zhe Yang, Yi Liu, Caihong Mu

Remote. Sens., 2021

A Two-Branch Network Combined With Robust Principal Component Analysis for Hyperspectral Image Classification.

Caihong Mu, Qize Zeng, Yi Liu, Yi Qu

IEEE Geosci. Remote. Sens. Lett., 2021

Hyperspectral Images Unmixing Based on Abundance Constrained Multi-Layer KNMF.

Jing Liu, You Zhang, Yi Liu, Caihong Mu

IEEE Access, 2021

A Multi-Branch Network based on Weight Sharing and Attention Mechanism for Hyperspectral Image Classification.

Zhen Guo, Caihong Mu, Yi Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

A Multi-Scale and Multi-Level Spectral-Spatial Feature Fusion Network for Hyperspectral Image Classification.

Caihong Mu, Zhen Guo, Yi Liu

Remote. Sens., 2020

Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion Using Spatial Coordinates.

Caihong Mu, Jian Liu, Yi Liu, Yijin Liu

IEEE Access, 2020

2019

Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks.

Caihong Mu, Jian Zhang, Yi Liu, Rong Qu, Tianhuan Huang

Soft Comput., 2019

Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images.

Caihong Mu, Chengzhou Li, Yi Liu, Rong Qu, Licheng Jiao

Appl. Soft Comput., 2019

A Special Points-Based Hybrid Prediction Strategy for Dynamic Multi-Objective Optimization.

Jianxia Li, Ruochen Liu, Ruinan Wang, Jin Liu, Caihong Mu

IEEE Access, 2019

2017

A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization.

Ruochen Liu, Jianxia Li, Jing Fan, Caihong Mu, Licheng Jiao

Eur. J. Oper. Res., 2017

Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm.

Caihong Mu, Chengzhou Li, Yi Liu, Menghua Sun, Licheng Jiao, Rong Qu

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems.

Caihong Mu, Huiwen Cheng, Wei Feng, Yi Liu, Rong Qu

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2015

Multiobjective nondominated neighbor coevolutionary algorithm with elite population.

Caihong Mu, Licheng Jiao, Yi Liu, Yangyang Li

Soft Comput., 2015

An orthogonal predictive model-based dynamic multi-objective optimization algorithm.

Ruochen Liu, Xu Niu, Jing Fan, Caihong Mu, Licheng Jiao

Soft Comput., 2015

Modified particle swarm optimization-based multilevel thresholding for image segmentation.

Yi Liu, Caihong Mu, Weidong Kou, Jing Liu

Soft Comput., 2015

Memetic algorithm with simulated annealing strategy and tightness greedy optimization for community detection in networks.

Caihong Mu, Jin Xie, Yong Liu, Feng Chen, Yi Liu, Licheng Jiao

Appl. Soft Comput., 2015

2014

A novel cooperative coevolutionary dynamic multi-objective optimization algorithm using a new predictive model.

Ruochen Liu, Yangyang Chen, Wenping Ma, Caihong Mu, Licheng Jiao

Soft Comput., 2014

Quadratic interpolation based orthogonal learning particle swarm optimization algorithm.

Ruochen Liu, Lixia Wang, Wenping Ma, Caihong Mu, Licheng Jiao

Nat. Comput., 2014

An intelligent ant colony optimization for community detection in complex networks.

Caihong Mu, Jian Zhang, Licheng Jiao

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A memetic algorithm using local structural information for detecting community structure in complex networks.

Caihong Mu, Jin Xie, Ruochen Liu, Licheng Jiao

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2006

Clonal Selection Detection Algorithm for the V-BLAST System.

Caihong Mu, Mingming Zhu

Proceedings of the Advances in Natural Computation, Second International Conference, 2006