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2020 – today
- 2024
[j21]Yi Liu
, Shanjiao Jiang, Yijin Liu, Caihong Mu:
Spatial Feature Enhancement and Attention-Guided Bidirectional Sequential Spectral Feature Extraction for Hyperspectral Image Classification. Remote. Sens. 16(17): 3124 (2024)- [j20]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. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [c19]Caihong Mu, Haikun Yu, Keyang Zhang, Qiang Tian, Yi Liu:
AutoMaster: Differentiable Graph Neural Network Architecture Search for Collaborative Filtering Recommendation. ICWE 2024: 82-98 - [c18]Caihong Mu, Jiahuan Chen, Yunlong Chen, Yi Liu:
Multi-interest Awareness Model for Session-based Recommendation. ICWS 2024: 1350-1352 - [c17]Xiaokai Wang, Rongfang Wang, Changzhe Jiao, Yi Niu, Caihong Mu:
Block Pruning And Collaborative Distillation For Image Classification Of Remote Sensing. IGARSS 2024: 8856-8860 - [c16]Yujie Yan, Yi Liu, Yafeng Wang, Caihong Mu:
A Multi-Attention Network with Multi-Level Spatial-Spectral Feature Fusion Based on Band Selection for Hyperspectral Image Classification. IJCNN 2024: 1-7 - 2023
- [j19]Yi Liu, Jian Zhu, Jiajie Feng, Caihong Mu:
A Feature Embedding Network with Multiscale Attention for Hyperspectral Image Classification. Remote. Sens. 15(13): 3338 (2023) - [c15]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. ICDM 2023: 1235-1240 - [c14]Xiaokai Wang, Jia-Wei Chen, Rongfang Wang, Chunlei Huo, Yi Niu, Caihong Mu:
A Lite-CNN for Landslides Recognition on Remote Sensing Images Via Structure Pruning. IGARSS 2023: 6526-6529 - [c13]Caihong Mu, Jiahui Ying, Yunfei Fang, Yi Liu:
A Graph Neural Network for Cross-domain Recommendation Based on Transfer and Inter-domain Contrastive Learning. KSEM (3) 2023: 226-234 - [c12]Jiahuan Chen, Caihong Mu, Mohammed Alloaa, Yi Liu:
A Hypergraph Augmented and Information Supplementary Network for Session-Based Recommendation. KSEM (3) 2023: 235-243 - [c11]Caihong Mu, Xin Tang, Jiashen Luo, Yi Liu:
GMiRec: A Multi-image Visual Recommendation Model Based on a Gated Neural Network. KSEM (2) 2023: 331-342 - [c10]Jian Zhu, Yi Liu, Jiajie Feng, Caihong Mu:
A Multi-scale Densely Connected and Feature Aggregation Network for Hyperspectral Image Classification. PRICAI (3) 2023: 3-15 - [c9]Yunfei Fang, Caihong Mu, Yi Liu:
AutoShape: Automatic Design of Click-Through Rate Prediction Models Using Shapley Value. PRICAI (2) 2023: 29-40 - 2022
- [j18]Caihong Mu, Weizhu Chen, Yi Liu, Dongchang Lei, Ruochen Liu:
Virtual information core optimization for collaborative filtering recommendation based on clustering and evolutionary algorithms. Appl. Soft Comput. 116: 108355 (2022) - [j17]Caihong Mu, Zhidong Dong, Yi Liu:
A Two-Branch Convolutional Neural Network Based on Multi-Spectral Entropy Rate Superpixel Segmentation for Hyperspectral Image Classification. Remote. Sens. 14(7): 1569 (2022) - [c8]Caihong Mu, Heyuan Huang, Yi Liu, Jiashen Luo:
Graph Convolutional Neural Network based on the Combination of Multiple Heterogeneous Graphs. ICDM (Workshops) 2022: 724-731 - [c7]Zhidong Dong, Caihong Mu, Haikun Yu, Yi Liu:
A Two-Branch Neural Network Based on Superpixel Segmentation and Auxiliary Samples. IFIP TC12 ICIS 2022: 130-137 - 2021
- [j16]Jing Liu, You Zhang, Yi Liu, Caihong Mu:
Hyperspectral Images Unmixing Based on Abundance Constrained Multi-Layer KNMF. IEEE Access 9: 91080-91090 (2021) - [j15]Caihong Mu, Qize Zeng, Yi Liu, Yi Qu:
A Two-Branch Network Combined With Robust Principal Component Analysis for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(12): 2147-2151 (2021) - [j14]Caihong Mu, Yijin Liu, Yi Liu:
Hyperspectral Image Spectral-Spatial Classification Method Based on Deep Adaptive Feature Fusion. Remote. Sens. 13(4): 746 (2021) - [j13]Jing Liu, Zhe Yang, Yi Liu, Caihong Mu:
Hyperspectral Remote Sensing Images Deep Feature Extraction Based on Mixed Feature and Convolutional Neural Networks. Remote. Sens. 13(13): 2599 (2021) - [c6]Zhen Guo, Caihong Mu, Yi Liu:
A Multi-Branch Network based on Weight Sharing and Attention Mechanism for Hyperspectral Image Classification. IGARSS 2021: 5370-5373 - 2020
- [j12]Caihong Mu, Jian Liu, Yi Liu, Yijin Liu:
Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion Using Spatial Coordinates. IEEE Access 8: 6768-6781 (2020) - [j11]Caihong Mu, Zhen Guo, Yi Liu:
A Multi-Scale and Multi-Level Spectral-Spatial Feature Fusion Network for Hyperspectral Image Classification. Remote. Sens. 12(1): 125 (2020)
2010 – 2019
- 2019
- [j10]Jianxia Li, Ruochen Liu, Ruinan Wang, Jin Liu, Caihong Mu:
A Special Points-Based Hybrid Prediction Strategy for Dynamic Multi-Objective Optimization. IEEE Access 7: 62496-62510 (2019) - [j9]Caihong Mu, Chengzhou Li, Yi Liu, Rong Qu, Licheng Jiao:
Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images. Appl. Soft Comput. 84 (2019) - [j8]Caihong Mu, Jian Zhang, Yi Liu, Rong Qu, Tianhuan Huang:
Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks. Soft Comput. 23(23): 12683-12709 (2019) - 2017
- [j7]Ruochen Liu, Jianxia Li, Jing Fan, Caihong Mu, Licheng Jiao:
A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization. Eur. J. Oper. Res. 261(3): 1028-1051 (2017) - [c5]Caihong Mu, Huiwen Cheng, Wei Feng, Yi Liu, Rong Qu:
Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems. CEC 2017: 1143-1149 - [c4]Caihong Mu, Chengzhou Li, Yi Liu, Menghua Sun, Licheng Jiao, Rong Qu:
Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm. CEC 2017: 1150-1157 - 2015
- [j6]Caihong Mu, Jin Xie, Yong Liu, Feng Chen, Yi Liu, Licheng Jiao:
Memetic algorithm with simulated annealing strategy and tightness greedy optimization for community detection in networks. Appl. Soft Comput. 34: 485-501 (2015) - [j5]Yi Liu, Caihong Mu, Weidong Kou, Jing Liu:
Modified particle swarm optimization-based multilevel thresholding for image segmentation. Soft Comput. 19(5): 1311-1327 (2015) - [j4]Caihong Mu, Licheng Jiao, Yi Liu, Yangyang Li:
Multiobjective nondominated neighbor coevolutionary algorithm with elite population. Soft Comput. 19(5): 1329-1349 (2015) - [j3]Ruochen Liu, Xu Niu, Jing Fan, Caihong Mu, Licheng Jiao:
An orthogonal predictive model-based dynamic multi-objective optimization algorithm. Soft Comput. 19(11): 3083-3107 (2015) - 2014
- [j2]Ruochen Liu, Lixia Wang, Wenping Ma, Caihong Mu, Licheng Jiao:
Quadratic interpolation based orthogonal learning particle swarm optimization algorithm. Nat. Comput. 13(1): 17-37 (2014) - [j1]Ruochen Liu, Yangyang Chen, Wenping Ma, Caihong Mu, Licheng Jiao:
A novel cooperative coevolutionary dynamic multi-objective optimization algorithm using a new predictive model. Soft Comput. 18(10): 1913-1929 (2014) - [c3]Caihong Mu, Jin Xie, Ruochen Liu, Licheng Jiao:
A memetic algorithm using local structural information for detecting community structure in complex networks. IEEE Congress on Evolutionary Computation 2014: 680-686 - [c2]Caihong Mu, Jian Zhang, Licheng Jiao:
An intelligent ant colony optimization for community detection in complex networks. IEEE Congress on Evolutionary Computation 2014: 700-706
2000 – 2009
- 2006
- [c1]Caihong Mu, Mingming Zhu:
Clonal Selection Detection Algorithm for the V-BLAST System. ICNC (2) 2006: 402-411
Coauthor Index
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