Yi Liu

According to our database, Yi Liu authored at least 38 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• 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

Dual Graph Convolutional Network for Hyperspectral Images With Spatial Graph and Spectral Multigraph.

Jing Liu, Ting Li, Feng Zhao, Yi Liu

IEEE Geosci. Remote. Sens. Lett., 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

Hyperspectral Remote Sensing Images Feature Extraction Based on Spectral Fractional Differentiation.

Jing Liu, Yang Li, Feng Zhao, Yi Liu

Remote. Sens., 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 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

Hyperspectral Remote Sensing Images Feature Extraction Based on Higher-Order Spectra.

Jing Liu, Tong Zhang, Yi Liu, Feng Zhao

IEEE Geosci. Remote. Sens. Lett., 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

Hyperspectral Remote Sensing Images Feature Extraction Based on Weighted Classwise Non-locality Preserving Projection.

Jing Liu, Ting-Ting Li, Tong Zhang, Yi Liu

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

2018

Hyperspectral Remote Sensing Images Terrain Classification Based on PCA-KMFA.

Jing Liu, Meng-yan Li, Yi Liu

Proceedings of the 14th International Conference on Natural Computation, 2018

2017

Terrain classification of hyperspectral remote sensing images based on kernel maximum margin criterion.

Jing Liu, Cheng-cheng Qiu, Yi Liu

Proceedings of the 13th International Conference on Natural Computation, 2017

DCT MFA subspace hyperspectral remote sensing images terrain classification.

Jing Liu, Meng-yan Li, Yi Liu

Proceedings of the 13th International Conference on Natural Computation, 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

2016

Hyperspectral remote sensing image terrain classification based on M-ary discriminant analysis.

Jing Liu, Yi Liu

Proceedings of the 12th International Conference on Natural Computation, 2016

2015

Multiobjective nondominated neighbor coevolutionary algorithm with elite population.

Caihong Mu, Licheng Jiao, Yi Liu, Yangyang Li

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

Hyperspectral Images Terrain Classification in Combination Spectrum DLDA Subspace.

Jing Liu, Yi Liu, Jin Wu

J. Comput., 2014

2013

Learning kernel parameters for kernel Fisher discriminant analysis.

Jing Liu, Feng Zhao, Yi Liu

Pattern Recognit. Lett., 2013