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ORCIDYi 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
![[0000-0002-1571-5442]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1571-5442")
— University of Massachusetts Dartmouth, MA, USA (and 2 more) - Yi Liu 0002 — Tsinghua University, Department of Engineering Physics, Institute of Public Safety Research, Beijing, China (and 1 more)
- Yi Liu 0003 — People's Public Security University of China, Public Order School, Beijing, China (and 2 more)
- Yi Liu 0004 — Xidian University, School of Electronic Engineering, Xian, China (and 1 more)
- Yi Liu 0005 — Southwest Jiaotong University, Intelligent Control Development Center, Chengdu, China (and 1 more)
- Yi Liu 0006 — Xidian University, State Key Laboratory of Integrated Service Network, Xi'an, China
- Yi Liu 0007 — North University of China, National Key Laboratory for Electronic Measurement Technology, Taiyuan, China
- Yi Liu 0008 — PetroChina Chongqing Marketing Jiangnan Company, Chongqing, China
- Yi Liu 0009 — University of Maryland, College Park, MD, USA (and 1 more)
- Yi Liu 0010 — National Institute of Aerospace, Hampton, VA, USA (and 1 more)
- Yi Liu 0011 — Fukuoka Institute of Technology (FIT), Graduate School of Engineering, Japan
- Yi Liu 0012 — Information Science Technology Institute, Zhengzhou, China
- Yi Liu 0013 — Beihang University, Sino-German Joint Software Institute, Beijing, China (and 1 more)
- Yi Liu 0014 — Peking University, Key Laboratory of High Confidence Software Technologies, Beijing, China
- Yi Liu 0015 — Guangdong University of Technology, School of Automation, China (and 2 more)
- Yi Liu 0016 — Wuhan University, School of Resource and Environmental Sciences, China (and 1 more)
- Yi Liu 0017 — Norwegian University of Science and Technology, Department of Electronic Systems, Trondheim, Norway (and 1 more)
- Yi Liu 0018 — Tsinghua University, Department of Automation, National Engineering Laboratory for E-Commerce Technology, Beijing, China
- Yi Liu 0019 — Beijing Jiaotong University, School of Computer and Information Technology, Beijing Key Lab of Traffic Data Analysis and Mining, China
- Yi Liu 0020 — National University of Defense Technology, College of Electronic Science, Changsha, China
- 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 — Zhejiang University of Technology, Institute of Process Equipment and Control Engineering, Hangzhou, China (and 1 more)
- Yi Liu 0025 — Yantai University, School of Chemistry and Chemical Engineering, China (and 1 more)
- Yi Liu 0026 — University of Erlangen-Nuremberg, Department of Physics, Germany (and 1 more)
- Yi Liu 0027 — Fudan University, State Key Laboratory of ASIC & System, Shanghai, China
- Yi Liu 0028 — Wuhan University, School of Geodesy and Geomatics, China
- Yi Liu 0029 — Guangdong University of Technology, School of Computer Science and Technology, Guangzhou, China (and 1 more)
- Yi Liu 0030 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan, China (and 1 more)
- 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 — Rennes School of Business, France
- Yi Liu 0033 — Amazon.com, Inc., Seattle, WA, USA
- Yi Liu 0034 — Wuhan University, School of Electronic Information, Department of Space Physics, China
- Yi Liu 0035 — Southwest Jiaotong University, Information Security and National Computing Grid Laboratory, Chengdu, China
- Yi Liu 0036 — Beijing Institute of Technology, School of Mechatronical Engineering, Intelligent Robotics Institute / MOE Key Laboratory of Biomimetic Robots and Systems, China
- Yi Liu 0037 — Zhejiang University, Institute of Cyber Systems and Control, Hangzhou, China
- Yi Liu 0038 — Xidian University, MOE Key Laboratory of Electronic Equipment Structure Design, Xi'an, China (and 1 more)
- Yi Liu 0039 — University of Western Ontario, Department of Computer Science, London, ON, Canada
- Yi Liu 0040 — Nanyang Technological University, Interdisciplinary Graduate School, Singapore
- Yi Liu 0041 — Dalian Maritime University, Institute of Information Science and Technology, China
- Yi Liu 0042 — Xidian University, Institute of Software Engineering, Xi'an, China
- Yi Liu 0043 — National Innovation Institute of Defense Technology, Beijing, China (and 1 more)
- Yi Liu 0044 — Chinese Academy of Sciences, Institute of Electrical Engineering, Beijing, China
- Yi Liu 0045 — Dalian Maritime University, College of Marine Electrical Engineering, Dalian, China
- Yi Y. Liu 0001 (aka: Yi Liu 0046) — Nanjing University of Information Science and Technology, School of Geographical Science, Nanjing, China (and 1 more)
- Yi Y. Liu 0002 (aka: Yi Liu 0047) — IBM China Research Lab, Beijing, China
- Yi Liu 0048 — Hohai University, College of Hydrology and Water Resources, Nanjing, China
- 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 — University of California San Diego, Electrical and Computer Engineering Department, CA, USA
- Yi Liu 0053 — Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China
- 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 — City University of Hong Kong (and 2 more)
- Yi Liu 0058 — University of Bristol, MRC Integrative Epidemiology Unit, UK
- Yi Liu 0059 — Texas A&M University, College Station, TX, USA
- 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 — Hunan University of Technology, School of Computer Science, National Rail Transit Advanced Equipment Innovation Center, Zhuzhou, China (and 1 more)
- Yi Liu 0066 — Institut Polytechnique de Paris, France
- Yi Liu 0067 — Institute of Information Engineering, Chinese Academy of Sciences, China
- Yi Liu 0068 — Ghent University, Belgium (and 1 more)
- Yi Liu 0069 — Nanyang Technological University, Singapore (and 1 more)
- Yi Liu 0070 — Beihang University, Beijing, China
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2020 – today
- 2024
[j21]Jing Liu, Ting Li, Feng Zhao, Yi 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, 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) - [j19]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) - [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, Yang Li, Feng Zhao, Yi Liu:
Hyperspectral Remote Sensing Images Feature Extraction Based on Spectral Fractional Differentiation. Remote. Sens. 15(11): 2879 (2023) - [j17]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) - [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, 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 - [c14]Jiahuan Chen, Caihong Mu, Mohammed Alloaa, Yi Liu:
A Hypergraph Augmented and Information Supplementary Network for Session-Based Recommendation. KSEM (3) 2023: 235-243 - [c13]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 - [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, Yi Liu:
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, Dongchang Lei, Ruochen Liu:
Virtual information core optimization for collaborative filtering recommendation based on clustering and evolutionary algorithms. Appl. Soft Comput. 116: 108355 (2022) - [j15]Jing Liu, Tong Zhang, Yi Liu, Feng Zhao:
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, 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) - [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, Haikun Yu, Yi Liu:
A Two-Branch Neural Network Based on Superpixel Segmentation and Auxiliary Samples. IFIP TC12 ICIS 2022: 130-137 - 2021
- [j13]Jing Liu, You Zhang, Yi Liu, Caihong Mu:
Hyperspectral Images Unmixing Based on Abundance Constrained Multi-Layer KNMF. IEEE Access 9: 91080-91090 (2021) - [j12]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) - [j11]Caihong Mu, Yijin Liu, Yi Liu:
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, Caihong Mu:
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, 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) - [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, 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) - [j6]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) - [c7]Jing Liu, Ting-Ting Li, Tong Zhang, Yi 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, Yi Liu, Yangyang Li:
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, Feng Zhao, Yi Liu:
Learning kernel parameters for kernel Fisher discriminant analysis. Pattern Recognit. Lett. 34(9): 1026-1031 (2013)
Coauthor Index
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