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ORCIDFang Liu 0026
Person information
- affiliation: Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing, China
Other persons with the same name
- Fang Liu — disambiguation page
- Fang Liu 0001
![[0000-0002-5669-9354]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5669-9354")
— 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 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
- Fang Liu 0034 — Nanjing University of Science and Technology, China (and 1 more)
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Journal Articles
- 2023
[j9]Manke Guo, Yanan You, Fang Liu:
Discriminative Prototype Learning for Few-Shot Object Detection in Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023)- 2022
- [j8]Sixu Liu, Yanan You, Haozheng Su, Gang Meng, Wei Yang, Fang Liu:
Few-Shot Object Detection in Remote Sensing Image Interpretation: Opportunities and Challenges. Remote. Sens. 14(18): 4435 (2022) - 2021
- [j7]Yanan You, Bohao Ran, Gang Meng, Zezhong Li, Fang Liu, Zhixin Li:
OPD-Net: Prow Detection Based on Feature Enhancement and Improved Regression Model in Optical Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 59(7): 6121-6137 (2021) - 2020
- [j6]Zezhong Li, Yanan You, Fang Liu:
Analysis on Saliency Estimation Methods in High-Resolution Optical Remote Sensing Imagery for Multi-Scale Ship Detection. IEEE Access 8: 194485-194496 (2020) - 2019
- [j5]Jun Liu, Jiasheng Wang, Yu Zhou, Fang Liu:
A Cloud Server Oriented FPGA Accelerator for LSTM Recurrent Neural Network. IEEE Access 7: 122408-122418 (2019) - [j4]Yanan You, Jingyi Cao, Yankang Zhang, Fang Liu, Wenli Zhou:
Nearshore Ship Detection on High-Resolution Remote Sensing Image via Scene-Mask R-CNN. IEEE Access 7: 128431-128444 (2019) - [j3]Yanan You, Zezhong Li, Bohao Ran, Jingyi Cao, Sudi Lv, Fang Liu:
Broad Area Target Search System for Ship Detection via Deep Convolutional Neural Network. Remote. Sens. 11(17): 1965 (2019) - 2015
- [j2]Jie Yang, Yuanyuan Qiao, Xinyu Zhang, Haiyang He, Fang Liu, Gang Cheng:
Characterizing User Behavior in Mobile Internet. IEEE Trans. Emerg. Top. Comput. 3(1): 95-106 (2015) - [j1]Jie Yang, Yixuan Wang, Yuanyuan Qiao, Xiao-Xing Zhao, Fang Liu, Gang Cheng:
On Evaluating Multi-class Network Traffic Classifiers Based on AUC. Wirel. Pers. Commun. 83(3): 1731-1750 (2015)
Conference and Workshop Papers
- 2023
- [c13]Jiawei Chen, Yang Xiao, Guocheng Lin, Gang He, Fang Liu, Wenli Zhou, Jun Liu:
Deep Reinforcement Learning Based Dynamic Routing Optimization for Delay-Sensitive Applications. GLOBECOM 2023: 5208-5213 - [c12]Xinyuan Li, Yang Xiao, Sixu Liu, Xucong Lu, Fang Liu, Wenli Zhou, Jun Liu:
GAPPO - A Graph Attention Reinforcement Learning based Robust Routing Algorithm. PIMRC 2023: 1-7 - 2022
- [c11]Huihan Yu, Yang Xiao, Jiawei Wu, Zilong He, Fang Liu, Jun Liu:
Deep Reinforcement Learning Based Beamforming for Throughput Maximization in Ultra-Dense Networks. WCNC 2022: 1021-1026 - 2021
- [c10]Da Liu, Wenjun Zhang, Yonggang Qi, Fang Liu, Jun Liu, Junlong Ren, Yu Wang, Zehao Wang:
Auxiliary Smart Glasses for Visually Impaired People Based on Two-dimensional Code Positioning. IC-NIDC 2021: 279-283 - [c9]Yuanyong Ning, Yanan You, Jingyi Cao, Fang Liu, Qing Yan, Yue Zhang:
Fusion Detection of Closed Water in Medium-Low Resolution Remote Sensing Imagery. IGARSS 2021: 4027-4030 - [c8]Guanhua Jiang, Yanan You, Gang Meng, Bohao Ran, Fang Liu:
Bidirectional Pathway Feature Pyramid Networks and Reverse Scale-Transfer Layer for Detecting Mult-Scale Ships. IGARSS 2021: 4031-4034 - [c7]Youjia Wang, Qing Yan, Wenli Zhou, Fang Liu:
Unsupervised Learning Framework for 3D Reconstruction from Face Sketch. PRCV (2) 2021: 239-250 - 2020
- [c6]Bohao Ran, Yanan You, Zezhong Li, Fang Liu:
Arbitrary-Oriented Ship Detection Method Based on Improved Regression Model for Target Direction Detection Network. IGARSS 2020: 964-967 - 2019
- [c5]Yu Zhou, Yuan Tian, Fang Liu, Jun Liu, Yan Zhu:
Privacy Preserving Distributed Data Mining Based on Secure Multi-party Computation. ICAIT 2019: 173-178 - [c4]Zezhong Li, Yanan You, Fang Liu:
Multi-Scale Ships Detection in High-Resolution Remote Sensing Image Via Saliency-Based Region Convolutional Neural Network. IGARSS 2019: 246-249 - 2017
- [c3]Yao Guo, Qiujian Lv, Fang Liu, Jie Yang, Zhe Gao:
A Comprehensive Analysis of Video Service Quality on IQIYI from Large-Scale Data Sets. QSHINE 2017: 83-93 - [c2]Xinru Wei, Yonggang Qi, Jun Liu, Fang Liu:
Image retrieval by dense caption reasoning. VCIP 2017: 1-4 - 2014
- [c1]Shu Sun, Fang Liu, Jun Liu, Yinan Dou, Hua Yu:
Web Classification Using Deep Belief Networks. CSE 2014: 768-773
Coauthor Index
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