Caihong Mu - RankMe

54 papers A* 2A 2B 8C 4Journal 29Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-feature fusion network based on wavelet transform and multi-scale cross-response for hyperspectral image classification. Mach. Vis. Appl. Yi Liu, Yujie Yan, Rongrui Teng, Xinyu He, Binyang Ma, Caihong Mu
2026	J	`jnl`	Multimodal semantic-scale network for remote sensing image classification. Inf. Fusion Caihong Mu, Bokun Ma, Yi Liu
2026	J	`jnl`	Subpixel attention and frequency-domain cross modulation network for multimodal remote sensing image classification. Appl. Soft Comput. Yi Liu, Jiajie Feng, Caihong Mu, Xinyu He
2025	B	`conf`	A Combined Frequency-Domain Filtering and Multi-Scale Spatial Feature Communication Based Network for Hyperspectral Image Classification. IJCNN Shanjiao Jiang, Yi Liu, Caihong Mu, Xinyu He
2025	A	`conf`	DPGC: Adversarial Domain Adaptive Network Based on Dynamic Class Prototype and Graph Convolution for Few-Shot Hyperspectral Image Classification. ECAI Xiangrong Yan, Caihong Mu, Yi Liu
2025	J	`jnl`	Dual-view data augmentation at subgraph level and graph contrastive learning for sequential recommendation. Mach. Learn. Caihong Mu, Haikun Yu, Lang Qin, Yi Liu
2025	J	`jnl`	GhostNet and pair-wise similarity module for cross-domain few-shot classification of hyperspectral images. Appl. Soft Comput. Caihong Mu, Fugui Zhang, Jiajie Feng, Mosa Haidarh, Yi Liu
2025	J	`jnl`	Masked self-supervised dual-scale transformer for enhanced hyperspectral image classification. Vis. Comput. Caihong Mu, Zeyu Zhang, Yafeng Wang, Suling Chen, Yi Liu
2025	—	`conf`	Multi-task Learning Based on Dense Feature Pyramid Network and Multi-scale Attention for Class-Imbalanced Hyperspectral Image Classification. ICIC (10) Yu Liu, Caihong Mu, Yi Liu, Yafeng Wang
2025	B	`conf`	Perturbation-driven Dual Auxiliary Contrastive Learning for Collaborative Filtering Recommendation. COLING Caihong Mu, Keyang Zhang, Jialiang Zhou, Yi Liu
2025	J	`jnl`	RoSENet: Rotation and Similarity Enhancement Network for Multimodal Remote Sensing Image Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. Bokun Ma, Caihong Mu, Yi Liu, Xinyu He, Mosa Haidarh
2025	J	`jnl`	Semi-supervised learning combined with regression pre-training of Siamese network based on superpixel segmentation for hyperspectral image classification. Mach. Vis. Appl. Caihong Mu, Yu Liu, Zhidong Dong, Jiajie Feng, Yi Liu
2025	—	`conf`	UNet-PRFN: A Lightweight Network Based on 3D U-Net for Few-Shot Hyperspectral Image Classification. ICIC (17) Yafeng Wang, Yi Liu, Caihong Mu
2024	B	`conf`	A Multi-Attention Network with Multi-Level Spatial-Spectral Feature Fusion Based on Band Selection for Hyperspectral Image Classification. IJCNN Yujie Yan, Yi Liu, Yafeng Wang, Caihong Mu
2024	B	`conf`	AutoMaster: Differentiable Graph Neural Network Architecture Search for Collaborative Filtering Recommendation. ICWE Caihong Mu, Haikun Yu, Keyang Zhang, Qiang Tian, Yi Liu
2024	C	`conf`	Block Pruning And Collaborative Distillation For Image Classification Of Remote Sensing. IGARSS Xiaokai Wang, Rongfang Wang, Changzhe Jiao, Yi Niu, Caihong Mu
2024	A*	`conf`	Enhancing Embeddings Quality with Stacked Gate for Click-Through Rate Prediction. ICDM Caihong Mu, Yunfei Fang, Jialiang Zhou, Yi Liu
2024	J	`jnl`	Few-Shot Open-Set Hyperspectral Image Classification With Adaptive Threshold Using Self-Supervised Multitask Learning. IEEE Trans. Geosci. Remote. Sens. Caihong Mu, Yu Liu, Xiangrong Yan, Aamir Ali, Yi Liu
2024	A	`conf`	Multi-interest Awareness Model for Session-based Recommendation. ICWS Caihong Mu, Jiahuan Chen, Yunlong Chen, Yi Liu
2024	J	`jnl`	Spatial Feature Enhancement and Attention-Guided Bidirectional Sequential Spectral Feature Extraction for Hyperspectral Image Classification. Remote. Sens. Yi Liu, Shanjiao Jiang, Yijin Liu, Caihong Mu
2023	J	`jnl`	A Feature Embedding Network with Multiscale Attention for Hyperspectral Image Classification. Remote. Sens. Yi Liu, Jian Zhu, Jiajie Feng, Caihong Mu
2023	A*	`conf`	A Graph Convolutional Neural Network for Recommendation Based on Community Detection and Combination of Multiple Heterogeneous Graphs. ICDM Caihong Mu, Heyuan Huang, Yunfei Fang, Yi Liu
2023	—	`conf`	A Graph Neural Network for Cross-domain Recommendation Based on Transfer and Inter-domain Contrastive Learning. KSEM (3) Caihong Mu, Jiahui Ying, Yunfei Fang, Yi Liu
2023	—	`conf`	A Hypergraph Augmented and Information Supplementary Network for Session-Based Recommendation. KSEM (3) Jiahuan Chen, Caihong Mu, Mohammed Alloaa, Yi Liu
2023	C	`conf`	A Lite-CNN for Landslides Recognition on Remote Sensing Images Via Structure Pruning. IGARSS Xiaokai Wang, Jia-Wei Chen, Rongfang Wang, Chunlei Huo, Yi Niu, Caihong Mu
2023	—	`conf`	A Multi-scale Densely Connected and Feature Aggregation Network for Hyperspectral Image Classification. PRICAI (3) Jian Zhu, Yi Liu, Jiajie Feng, Caihong Mu
2023	—	`conf`	AutoShape: Automatic Design of Click-Through Rate Prediction Models Using Shapley Value. PRICAI (2) Yunfei Fang, Caihong Mu, Yi Liu
2023	—	`conf`	GMiRec: A Multi-image Visual Recommendation Model Based on a Gated Neural Network. KSEM (2) Caihong Mu, Xin Tang, Jiashen Luo, Yi Liu
2022	J	`jnl`	A Two-Branch Convolutional Neural Network Based on Multi-Spectral Entropy Rate Superpixel Segmentation for Hyperspectral Image Classification. Remote. Sens. Caihong Mu, Zhidong Dong, Yi Liu
2022	C	`conf`	A Two-Branch Neural Network Based on Superpixel Segmentation and Auxiliary Samples. ICIS Zhidong Dong, Caihong Mu, Haikun Yu, Yi Liu
2022	—	`conf`	Graph Convolutional Neural Network based on the Combination of Multiple Heterogeneous Graphs. ICDM (Workshops) Caihong Mu, Heyuan Huang, Yi Liu, Jiashen Luo
2022	J	`jnl`	Virtual information core optimization for collaborative filtering recommendation based on clustering and evolutionary algorithms. Appl. Soft Comput. Caihong Mu, Weizhu Chen, Yi Liu, Dongchang Lei, Ruochen Liu
2021	C	`conf`	A Multi-Branch Network based on Weight Sharing and Attention Mechanism for Hyperspectral Image Classification. IGARSS Zhen Guo, Caihong Mu, Yi Liu
2021	J	`jnl`	A Two-Branch Network Combined With Robust Principal Component Analysis for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Caihong Mu, Qize Zeng, Yi Liu, Yi Qu
2021	J	`jnl`	Hyperspectral Image Spectral-Spatial Classification Method Based on Deep Adaptive Feature Fusion. Remote. Sens. Caihong Mu, Yijin Liu, Yi Liu
2021	J	`jnl`	Hyperspectral Images Unmixing Based on Abundance Constrained Multi-Layer KNMF. IEEE Access Jing Liu, You Zhang, Yi Liu, Caihong Mu
2021	J	`jnl`	Hyperspectral Remote Sensing Images Deep Feature Extraction Based on Mixed Feature and Convolutional Neural Networks. Remote. Sens. Jing Liu, Zhe Yang, Yi Liu, Caihong Mu
2020	J	`jnl`	A Multi-Scale and Multi-Level Spectral-Spatial Feature Fusion Network for Hyperspectral Image Classification. Remote. Sens. Caihong Mu, Zhen Guo, Yi Liu
2020	J	`jnl`	Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion Using Spatial Coordinates. IEEE Access Caihong Mu, Jian Liu, Yi Liu, Yijin Liu
2019	J	`jnl`	A Special Points-Based Hybrid Prediction Strategy for Dynamic Multi-Objective Optimization. IEEE Access Jianxia Li, Ruochen Liu, Ruinan Wang, Jin Liu, Caihong Mu
2019	J	`jnl`	Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images. Appl. Soft Comput. Caihong Mu, Chengzhou Li, Yi Liu, Rong Qu, Licheng Jiao
2019	J	`jnl`	Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks. Soft Comput. Caihong Mu, Jian Zhang, Yi Liu, Rong Qu, Tianhuan Huang
2017	J	`jnl`	A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization. Eur. J. Oper. Res. Ruochen Liu, Jianxia Li, Jing Fan, Caihong Mu, Licheng Jiao
2017	B	`conf`	Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm. CEC Caihong Mu, Chengzhou Li, Yi Liu, Menghua Sun, Licheng Jiao, Rong Qu
2017	B	`conf`	Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems. CEC Caihong Mu, Huiwen Cheng, Wei Feng, Yi Liu, Rong Qu
2015	J	`jnl`	An orthogonal predictive model-based dynamic multi-objective optimization algorithm. Soft Comput. Ruochen Liu, Xu Niu, Jing Fan, Caihong Mu, Licheng Jiao
2015	J	`jnl`	Memetic algorithm with simulated annealing strategy and tightness greedy optimization for community detection in networks. Appl. Soft Comput. Caihong Mu, Jin Xie, Yong Liu, Feng Chen, Yi Liu, Licheng Jiao
2015	J	`jnl`	Modified particle swarm optimization-based multilevel thresholding for image segmentation. Soft Comput. Yi Liu, Caihong Mu, Weidong Kou, Jing Liu
2015	J	`jnl`	Multiobjective nondominated neighbor coevolutionary algorithm with elite population. Soft Comput. Caihong Mu, Licheng Jiao, Yi Liu, Yangyang Li
2014	B	`conf`	A memetic algorithm using local structural information for detecting community structure in complex networks. IEEE Congress on Evolutionary Computation Caihong Mu, Jin Xie, Ruochen Liu, Licheng Jiao
2014	J	`jnl`	A novel cooperative coevolutionary dynamic multi-objective optimization algorithm using a new predictive model. Soft Comput. Ruochen Liu, Yangyang Chen, Wenping Ma, Caihong Mu, Licheng Jiao
2014	B	`conf`	An intelligent ant colony optimization for community detection in complex networks. IEEE Congress on Evolutionary Computation Caihong Mu, Jian Zhang, Licheng Jiao
2014	J	`jnl`	Quadratic interpolation based orthogonal learning particle swarm optimization algorithm. Nat. Comput. Ruochen Liu, Lixia Wang, Wenping Ma, Caihong Mu, Licheng Jiao
2006	—	`conf`	Clonal Selection Detection Algorithm for the V-BLAST System. ICNC (2) Caihong Mu, Mingming Zhu