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Fang Liu 0021
Person information
- affiliation: Changsha University of Science and Technology, School of Transportation Engineering, Changsha, China
- affiliation (former): Inner Mongolia Agricultural University, School of Energy and Transportation Engineering, Hohhot, 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 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
- Fang Liu 0034
— Nanjing University of Science and Technology, China (and 1 more)
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2020 – today
- 2022
- [j10]Fang Liu, Wei Bi, Jinjun Tang
, Wei Hao:
Understanding the correlation between destination distribution and urban built environment from taxi GPS data. Trans. GIS 26(4): 1821-1846 (2022) - [j9]Jian Liang
, Jinjun Tang
, Fang Liu
, Yinhai Wang
:
Combining Individual Travel Preferences Into Destination Prediction: A Multi-Module Deep Learning Network. IEEE Trans. Intell. Transp. Syst. 23(8): 13782-13793 (2022) - 2021
- [j8]Jinjun Tang, Yifan Yang
, Wei Hao, Fang Liu, Yinhai Wang
:
A Data-Driven Timetable Optimization of Urban Bus Line Based on Multi-Objective Genetic Algorithm. IEEE Trans. Intell. Transp. Syst. 22(4): 2417-2429 (2021) - 2020
- [j7]Jinjun Tang
, Fan Gao
, Fang Liu
, Xinqiang Chen
:
A Denoising Scheme-Based Traffic Flow Prediction Model: Combination of Ensemble Empirical Mode Decomposition and Fuzzy C-Means Neural Network. IEEE Access 8: 11546-11559 (2020) - [j6]Jinjun Tang
, Yiwei Wang, Wei Hao
, Fang Liu
, Helai Huang, Yinhai Wang
:
A Mixed Path Size Logit-Based Taxi Customer-Search Model Considering Spatio-Temporal Factors in Route Choice. IEEE Trans. Intell. Transp. Syst. 21(4): 1347-1358 (2020)
2010 – 2019
- 2019
- [j5]Jinjun Tang
, Lexiao Li, Zheng Hu, Fang Liu:
Short-Term Traffic Flow Prediction Considering Spatio-Temporal Correlation: A Hybrid Model Combing Type-2 Fuzzy C-Means and Artificial Neural Network. IEEE Access 7: 101009-101018 (2019) - [j4]Jinjun Tang, Shaowei Yu, Fang Liu, Xinqiang Chen, Helai Huang:
A hierarchical prediction model for lane-changes based on combination of fuzzy C-means and adaptive neural network. Expert Syst. Appl. 130: 265-275 (2019) - 2018
- [j3]Jinjun Tang, Fang Liu, Wenhui Zhang, Ruimin Ke, Yajie Zou
:
Lane-changes prediction based on adaptive fuzzy neural network. Expert Syst. Appl. 91: 452-463 (2018) - 2017
- [j2]Jinjun Tang, Fang Liu, Yajie Zou
, Weibin Zhang, Yinhai Wang
:
An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic. IEEE Trans. Intell. Transp. Syst. 18(9): 2340-2350 (2017) - 2016
- [j1]Jinjun Tang, Han Jiang, Zhibin Li, Meng Li, Fang Liu, Yinhai Wang
:
A Two-Layer Model for Taxi Customer Searching Behaviors Using GPS Trajectory Data. IEEE Trans. Intell. Transp. Syst. 17(11): 3318-3324 (2016) - 2013
- [c3]Jinjun Tang, Guangning Xu, Yinhai Wang, Hua Wang, Shen Zhang, Fang Liu:
Traffic flow prediction based on hybrid model using double exponential smoothing and support vector machine. ITSC 2013: 130-135 - 2010
- [c2]Fang Liu, Shoulin Zhu, Chunhua Qi, Jinjun Tang:
A novel adaptive map-matching algorithm in vehicular navigation system. FSKD 2010: 796-800 - [c1]Jinjun Tang, Guo Zhong Wang, Fang Liu, Jin Min Tang:
An iterative control for driving model based on fuzzy neural network. ICNC 2010: 1537-1541
Coauthor Index
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