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Yi Liu 0051
Person information
- affiliation: Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China
- affiliation: Xidian University, School of Electronic Engineering, Xi'an, China
Other persons with the same name
- Yi Liu — disambiguation page
- Yi Liu 0001
— University of Massachusetts Dartmouth, MA, USA (and 2 more)
- Yi Liu 0002
- Yi Liu 0003 — People's Public Security University of China, Public Order School, Beijing, China (and 2 more)
- Yi Liu 0004
- Yi Liu 0005
- Yi Liu 0006
- Yi Liu 0007
- Yi Liu 0008
- Yi Liu 0009
- Yi Liu 0010
- Yi Liu 0011 — Fukuoka Institute of Technology (FIT), Graduate School of Engineering, Japan
- Yi Liu 0012
- Yi Liu 0013
- Yi Liu 0014
- Yi Liu 0015
- Yi Liu 0016
- Yi Liu 0017
- Yi Liu 0018
- Yi Liu 0019
- Yi Liu 0020
- Yi Liu 0021 — Hangzhou Dianzi University, Management School, China
- Yi Liu 0022 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Human Language Technology Center, Hong Kong
- Yi Liu 0023 — Georgia College and State University Milledgeville, GA, USA (and 1 more)
- Yi Liu 0024
- Yi Liu 0025
- Yi Liu 0026
- Yi Liu 0027
- Yi Liu 0028
- Yi Liu 0029
- Yi Liu 0030
- Yi Liu 0031 — Chinese Academy of Sciences, Institute of Atmospheric Physics, Key Laboratory of Middle Atmosphere and Global Environment Observation, Beijing, China
- Yi Liu 0032
- Yi Liu 0033
- Yi Liu 0034
- Yi Liu 0035
- Yi Liu 0036
- Yi Liu 0037
- Yi Liu 0038
- Yi Liu 0039
- Yi Liu 0040
- Yi Liu 0041
- Yi Liu 0042
- Yi Liu 0043
- Yi Liu 0044
- Yi Liu 0045
- Yi Y. Liu 0001
- Yi Y. Liu 0002 (aka: Yi Liu 0047) — IBM China Research Lab, Beijing, China
- Yi Liu 0048
- Yi Liu 0049 — Tsinghua University, Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Beijing, China
- Yi Liu 0050 — Tsinghua University, Tsinghua National Laboratory for Information Science and Technology, Center for Speech and Language Technologies, Beijing, China
- Yi Liu 0052
- Yi Liu 0053
- Yi Liu 0054 — Google Inc., Mountain View, CA, USA (and 3 more)
- Yi Liu 0055 — Vicarious, San Francisco, CA, USA
- Yi Liu 0056 — PKU Shenzhen Institute, Shenzhen Key Laboratory of Intelligent Media and Speech, Shenzhen, China
- Yi Liu 0057
- Yi Liu 0058
- Yi Liu 0059
- Yi Liu 0060 — Xidian University, School of Microelectronics, Xi'an, China
- Yi Liu 0061 — Brunel University London, Department of Electronic and Computer Engineering, Uxbridge, UK
- Yi Liu 0062 — University of Alberta, Department of Mathematical and Statistical Sciences, Edmonton, Canada
- Yi Liu 0063 — University of North Carolina, Chapel Hill, USA
- Yi Liu 0064 — Wuhan University, Department of Space Physics, School of Electronic Information, China
- Yi Liu 0065
- Yi Liu 0066 — Institut Polytechnique de Paris, France
- Yi Liu 0067
- Yi Liu 0068
- Yi Liu 0069
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2020 – today
- 2024
- [j21]Jing Liu
Dual Graph Convolutional Network for Hyperspectral Images With Spatial Graph and Spectral Multigraph. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j20]Yi Liu
Spatial Feature Enhancement and Attention-Guided Bidirectional Sequential Spectral Feature Extraction for Hyperspectral Image Classification. Remote. Sens. 16(17): 3124 (2024) - [j19]Caihong Mu
Few-Shot Open-Set Hyperspectral Image Classification With Adaptive Threshold Using Self-Supervised Multitask Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [c17]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 - 2023
- [j18]Jing Liu
Hyperspectral Remote Sensing Images Feature Extraction Based on Spectral Fractional Differentiation. Remote. Sens. 15(11): 2879 (2023) - [j17]Yi Liu
A Feature Embedding Network with Multiscale Attention for Hyperspectral Image Classification. Remote. Sens. 15(13): 3338 (2023) - [c16]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 - [c15]Caihong Mu
A Graph Neural Network for Cross-domain Recommendation Based on Transfer and Inter-domain Contrastive Learning. KSEM (3) 2023: 226-234 - [c14]Jiahuan Chen, Caihong Mu
A Hypergraph Augmented and Information Supplementary Network for Session-Based Recommendation. KSEM (3) 2023: 235-243 - [c13]Caihong Mu
GMiRec: A Multi-image Visual Recommendation Model Based on a Gated Neural Network. KSEM (2) 2023: 331-342 - [c12]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 - [c11]Yunfei Fang, Caihong Mu
AutoShape: Automatic Design of Click-Through Rate Prediction Models Using Shapley Value. PRICAI (2) 2023: 29-40 - 2022
- [j16]Caihong Mu, Weizhu Chen, Yi Liu
Virtual information core optimization for collaborative filtering recommendation based on clustering and evolutionary algorithms. Appl. Soft Comput. 116: 108355 (2022) - [j15]Jing Liu
Hyperspectral Remote Sensing Images Feature Extraction Based on Higher-Order Spectra. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j14]Caihong Mu, Zhidong Dong
A Two-Branch Convolutional Neural Network Based on Multi-Spectral Entropy Rate Superpixel Segmentation for Hyperspectral Image Classification. Remote. Sens. 14(7): 1569 (2022) - [c10]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 - [c9]Zhidong Dong, Caihong Mu
A Two-Branch Neural Network Based on Superpixel Segmentation and Auxiliary Samples. IFIP TC12 ICIS 2022: 130-137 - 2021
- [j13]Jing Liu
Hyperspectral Images Unmixing Based on Abundance Constrained Multi-Layer KNMF. IEEE Access 9: 91080-91090 (2021) - [j12]Caihong Mu
A Two-Branch Network Combined With Robust Principal Component Analysis for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(12): 2147-2151 (2021) - [j11]Caihong Mu
Hyperspectral Image Spectral-Spatial Classification Method Based on Deep Adaptive Feature Fusion. Remote. Sens. 13(4): 746 (2021) - [j10]Jing Liu, Zhe Yang, Yi Liu
Hyperspectral Remote Sensing Images Deep Feature Extraction Based on Mixed Feature and Convolutional Neural Networks. Remote. Sens. 13(13): 2599 (2021) - [c8]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
- [j9]Caihong Mu
Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion Using Spatial Coordinates. IEEE Access 8: 6768-6781 (2020) - [j8]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
- [j7]Caihong Mu
Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images. Appl. Soft Comput. 84 (2019) - [j6]Caihong Mu, Jian Zhang, Yi Liu
Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks. Soft Comput. 23(23): 12683-12709 (2019) - [c7]Jing Liu
Hyperspectral Remote Sensing Images Feature Extraction Based on Weighted Classwise Non-locality Preserving Projection. ICNC-FSKD 2019: 204-211 - 2018
- [c6]Jing Liu, Meng-yan Li, Yi Liu:
Hyperspectral Remote Sensing Images Terrain Classification Based on PCA-KMFA. ICNC-FSKD 2018: 739-744 - 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 - [c3]Jing Liu, Meng-yan Li, Yi Liu:
DCT MFA subspace hyperspectral remote sensing images terrain classification. ICNC-FSKD 2017: 1610-1614 - [c2]Jing Liu, Cheng-cheng Qiu, Yi Liu:
Terrain classification of hyperspectral remote sensing images based on kernel maximum margin criterion. ICNC-FSKD 2017: 1644-1650 - 2016
- [c1]Jing Liu, Yi Liu:
Hyperspectral remote sensing image terrain classification based on M-ary discriminant analysis. ICNC-FSKD 2016: 1301-1305 - 2015
- [j5]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) - [j4]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) - [j3]Caihong Mu, Licheng Jiao
Multiobjective nondominated neighbor coevolutionary algorithm with elite population. Soft Comput. 19(5): 1329-1349 (2015) - 2014
- [j2]Jing Liu, Yi Liu, Jin Wu:
Hyperspectral Images Terrain Classification in Combination Spectrum DLDA Subspace. J. Comput. 9(1): 28-33 (2014) - 2013
- [j1]Jing Liu
Learning kernel parameters for kernel Fisher discriminant analysis. Pattern Recognit. Lett. 34(9): 1026-1031 (2013)
Coauthor Index
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last updated on 2024-11-11 21:31 CET by the dblp team
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