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Fang Liu 0034
Person information
- affiliation: Nanjing University of Science and Technology, China
- affiliation: Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China
Other persons with the same name
- Fang Liu — disambiguation page
- Fang Liu 0001
— Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China
- Fang Liu 0002
— HuNan University, School of Design, Changsha, China (and 2 more)
- Fang Liu 0003
— Anhui University, College of Electrical Engineering and Automation, Hefei, China (and 1 more)
- Fang Liu 0004
— Shenyang Ligong University, School of Information Science and Engineering, China
- Fang Liu 0005
— University of Wisconsin at Madison, Department of Radiology, WI, USA
- Fang Liu 0006
— University of Notre Dame, Department of Applied and Computational Mathematics and Statistics, IN, USA
- Fang Liu 0007 — National Library of Medicine, Bethesda, MD, USA
- Fang Liu 0008
— Nanyang Technological University, Nanyang Business School, Singapore (and 1 more)
- Fang Liu 0009
— Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Fang Liu 0010 — Zhejiang University, Institute of Microelectronics and Optoelectronics, China
- Fang Liu 0011
— Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China (and 1 more)
- Fang Liu 0012
— Tianjin University, School of Electrical and Information Engineering, Key Laboratory of Smart Grid of MoE, China
- Fang Liu 0013
— Zhejiang University of Finance and Economics, School of Accounting, Hangzhou, China
- Fang Liu 0014
— Central South University, School of Automation, Changsha, China
- Fang Liu 0015
— Shenyang Ligong University, College of Science, Shenyang, China
- Fang Liu 0016
— Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
- Fang Liu 0017
— Guangxi University, School of Mathematics and Information Science, Nanning, China (and 1 more)
- Fang Liu 0018
— University of Reading, School of Psychology and Clinical Language Sciences, Reading, UK (and 2 more)
- Fang Liu 0019 — Microsoft, Redmond, WA, USA (and 1 more)
- Fang Liu 0020 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Fang Liu 0021
— Changsha University of Science and Technology, School of Transportation Engineering, Changsha, China (and 1 more)
- Fang Liu 0022
— Chinese University of Hong Kong, Department of Information Engineering, Hong Kong
- Fang Liu 0023
— Huanghuai University, School of Information Engineering, Henan International Joint Laboratory of Behavior Optimization Control for Smart Robots, Zhumadian, China (and 1 more)
- Fang Liu 0024 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Fang Liu 0025 — University of Texas - Pan American, Department of Computer Science, Edinburg, TX, USA (and 1 more)
- Fang Liu 0026
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing, China
- Fang Liu 0027 — Massachusetts Institute of Technology, Media Laboratory, Cambridge, MA, USA
- Fang (Cherry) Liu
(aka: Fang Liu 0028) — Georgia Institute of Technology, Partnership for An Advanced Computing Environment, Atlanta, GA, USA (and 2 more)
- Fang Liu 0029 — Duke University, Department of Electrical & Computer Engineering, Durham, NC, USA
- Fang Liu 0030
— Guangdong University of Finance and Economics, School of Internet Finance and Information Engineering, Guangzhou, China (and 1 more)
- Fang Liu 0031
— Wuhan University, School of Computer Science, China (and 1 more)
- Fang Liu 0032
— Peking University, Key Lab of High Confidence Software Technology, School of Computer Science, Beijing, China
- Fang Liu 0033
— Dalian University of Technology, School of Computer Science and Technology, China
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2020 – today
- 2024
- [j32]Jia Liu
, Wenyi Hua, Wenhua Zhang
, Fang Liu
, Liang Xiao:
Stair Fusion Network With Context-Refined Attention for Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j31]Fang Liu
, Jiaqi An, Jia Liu
, Jingxiang Yang
, Xu Tang
, Liang Xiao:
Conjoint Cross-Attention Modeling and Joint Feature Calibrating for Remote Sensing Image Change Detection via a Triple-Double Network. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j30]Fang Liu
, Yangguang Liu
, Jia Liu
, Xu Tang
, Liang Xiao:
Candidate-Aware and Change-Guided Learning for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j29]Yangguang Liu, Fang Liu, Jia Liu, Liang Xiao:
Difference Guidance Learning With Feature Alignment for Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j28]Jingjing Ma, Yizhou Zou, Xu Tang
, Xiangrong Zhang
, Fang Liu
, Licheng Jiao
:
Spatial Pooling Transformer Network and Noise-Tolerant Learning for Noisy Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j27]Xu Tang
, Yizhou Zou, Jingjing Ma, Xiangrong Zhang
, Fang Liu
, Licheng Jiao
:
Multiple Information Collaborative Fusion Network for Joint Classification of Hyperspectral and LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j26]Wenzhen Wang
, Fang Liu
, Liang Xiao:
I2MEP-Net: Inter- and Intra-Modality Enhancing Prototypical Network for Few-Shot Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j25]Wenjing Zhan
, Fang Liu
, Yongke Li
, Liang Xiao:
Computational Oriented Proposal for Fine-Grained Ship Detection in Complex Remote Sensing Images. IEEE Trans. Instrum. Meas. 73: 1-18 (2024) - [j24]Yuqun Yang, Xu Tang
, Xiangrong Zhang
, Jingjing Ma, Fang Liu
, Xiuping Jia
, Licheng Jiao
:
Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6806-6820 (2024) - 2023
- [j23]Yangguang Liu
, Fang Liu
, Jia Liu
, Xu Tang
, Liang Xiao:
Adaptive Spatial and Difference Learning for Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 7447-7461 (2023) - [j22]Wenfei Gao
, Fang Liu
, Jia Liu
, Liang Xiao, Xu Tang
:
Spatial-Spectral Adaptive Learning With Pixelwise Filtering for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j21]Kaixuan Jiang
, Jia Liu
, Wenhua Zhang
, Fang Liu
, Liang Xiao:
MANet: An Efficient Multidimensional Attention-Aggregated Network for Remote Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j20]Fang Liu
, Wenfei Gao
, Jia Liu
, Xu Tang
, Liang Xiao:
Adversarial Domain Alignment With Contrastive Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-20 (2023) - [j19]Xu Tang
, Yijing Wang
, Jingjing Ma, Xiangrong Zhang
, Fang Liu
, Licheng Jiao
:
Interacting-Enhancing Feature Transformer for Cross-Modal Remote-Sensing Image and Text Retrieval. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j18]Wenzhen Wang
, Fang Liu
, Wenzhi Liao
, Liang Xiao:
Cross-Modal Graph Knowledge Representation and Distillation Learning for Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [c4]Wenyi Hua, Jia Liu, Fang Liu
, Wenhua Zhang, Jiaqi An:
Stair Fusion Network for Remote Sensing Image Semantic Segmentation. IGARSS 2023: 5499-5502 - 2022
- [j17]Andi Zhang, Fang Liu
, Jia Liu
, Xu Tang
, Wenfei Gao, Donghui Li
, Liang Xiao:
Domain-Adaptive Few-Shot Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j16]Jia Liu
, Maoguo Gong
, Liang Xiao, Wenhua Zhang
, Fang Liu
:
Evolving Connections in Group of Neurons for Robust Learning. IEEE Trans. Cybern. 52(5): 3069-3082 (2022) - [j15]Kaixuan Jiang
, Wenhua Zhang
, Jia Liu
, Fang Liu
, Liang Xiao:
Joint Variation Learning of Fusion and Difference Features for Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j14]Fang Liu
, Jingya Wang
, Xu Tang
, Jia Liu
, Xiangrong Zhang
, Liang Xiao:
Adaptive Graph Convolutional Network for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j13]Jia Liu
, Wenhua Zhang
, Fang Liu
, Liang Xiao:
A Probabilistic Model Based on Bipartite Convolutional Neural Network for Unsupervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j12]Xu Tang
, Weiquan Lin, Jingjing Ma, Xiangrong Zhang
, Fang Liu
, Licheng Jiao
:
Class-Level Prototype Guided Multiscale Feature Learning for Remote Sensing Scene Classification With Limited Labels. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j11]Xu Tang
, Yuqun Yang, Jingjing Ma, Yiu-Ming Cheung
, Chao Liu
, Fang Liu
, Xiangrong Zhang
, Licheng Jiao
:
Meta-Hashing for Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j10]Xu Tang
, Huayu Zhang, Lichao Mou
, Fang Liu
, Xiangrong Zhang
, Xiao Xiang Zhu
, Licheng Jiao
:
An Unsupervised Remote Sensing Change Detection Method Based on Multiscale Graph Convolutional Network and Metric Learning. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j9]Yuqun Yang, Xu Tang
, Yiu-Ming Cheung
, Xiangrong Zhang
, Fang Liu
, Jingjing Ma, Licheng Jiao
:
AR2Det: An Accurate and Real-Time Rotational One-Stage Ship Detector in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c3]Yangguang Liu, Fang Liu, Jia Liu, Xu Tang, Kaixuan Jiang, Liang Xiao:
Spatial-Adaptive and Feature-Enhanced Siamese Network for Change Detection. IGARSS 2022: 1424-1427 - [c2]Kaixuan Jiang, Jia Liu, Fang Liu, Wenhua Zhang, Yangguang Liu, Jiao Shi:
Dual Unet: A Novel Siamese Network for Change Detection with Cascade Differential Fusion. IGARSS 2022: 1428-1431 - [i1]Kaixuan Jiang, Ja Liu, Fang Liu, Wenhua Zhang, Yangguang Liu:
dual unet: a novel siamese network for change detection with cascade differential fusion. CoRR abs/2208.06293 (2022) - 2021
- [j8]Xu Tang
, Qiushuo Ma, Xiangrong Zhang
, Fang Liu
, Jingjing Ma, Licheng Jiao
:
Attention Consistent Network for Remote Sensing Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2030-2045 (2021) - [j7]Fang Liu
, Xu Tang
, Xiangrong Zhang
, Licheng Jiao
, Jia Liu
:
Large-Scope PolSAR Image Change Detection Based on Looking-Around-and-Into Mode. IEEE Trans. Geosci. Remote. Sens. 59(1): 363-378 (2021) - [j6]Xu Tang
, Fanbo Meng, Xiangrong Zhang
, Yiu-Ming Cheung
, Jingjing Ma, Fang Liu
, Licheng Jiao
:
Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial-Spectral Attention Network. IEEE Trans. Geosci. Remote. Sens. 59(3): 2430-2447 (2021) - [j5]Chao Liu
, Jingjing Ma, Xu Tang
, Fang Liu
, Xiangrong Zhang
, Licheng Jiao
:
Deep Hash Learning for Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 59(4): 3420-3443 (2021) - 2020
- [c1]Xu Tang, Fanbo Meng, Jingjing Ma, Xiangrong Zhang, Fang Liu, Qunnie Peng, Licheng Jiao
:
Hyperspectral Image Classification Based on Multiscale Spatial and Spectral Feature Network. IGARSS 2020: 838-841
2010 – 2019
- 2019
- [j4]Fang Liu
, Licheng Jiao
, Xu Tang
, Shuyuan Yang
, Wenping Ma
, Biao Hou
:
Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Images. IEEE Trans. Neural Networks Learn. Syst. 30(3): 818-833 (2019) - [j3]Fang Liu
, Licheng Jiao
, Xu Tang
:
Task-Oriented GAN for PolSAR Image Classification and Clustering. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2707-2719 (2019) - 2016
- [j2]Fang Liu, Licheng Jiao
, Biao Hou, Shuyuan Yang:
POL-SAR Image Classification Based on Wishart DBN and Local Spatial Information. IEEE Trans. Geosci. Remote. Sens. 54(6): 3292-3308 (2016) - [j1]Licheng Jiao
, Fang Liu
:
Wishart Deep Stacking Network for Fast POLSAR Image Classification. IEEE Trans. Image Process. 25(7): 3273-3286 (2016)
Coauthor Index
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last updated on 2024-09-04 00:30 CEST by the dblp team
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