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ORCIDFeng Lu 0004
Person information
- affiliation: Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou, China
- affiliation: Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, State Key Lab of Resources and Environmental Information System, Beijing, China
Other persons with the same name
- Feng Lu — disambiguation page
- Feng Lu 0001 — York University, Department of Computer Science, North York, ON, Canada (and 1 more)
- Feng Lu 0002 — Cadence Design Systems, USA (and 1 more)
- Feng Lu 0003
![[0000-0001-9349-1758]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9349-1758")
— Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China - Feng Lu 0005 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
- Feng Lu 0006 — Nanjing University of Aeronautics and Astronautics, Jiangsu Province Key Laboratory of Aerospace Power Systems, China
- Feng Lu 0007 — Georgia Institute of Technology, Atlanta, GA, USA
- Feng Lu 0008 — Nanjing University of Posts and Telecommunications, School of Electronic Science and Engineering, China
Other persons with a similar name
- Luefeng Chen (aka: Lue-Feng Chen) — China University of Geosciences, Wuhan, China
- Lu Feng — disambiguation page
- Lu Feng 0001 — University of Virginia, School of Engineering and Applied Science, Charlottesville, VA, USA (and 1 more)
- Chia-Feng Lu
- Chun-Feng Lu
- Hsiao-feng Lu (aka: Hsiao-feng Francis Lu)
- Susan Feng Lu
- Wen Feng Lu (aka: Wen-Feng Lu) — National University of Singapore, Singapore (and 1 more)
- Yanfeng Lu (aka: Yan-Feng Lu) — disambiguation page
- Yung-Feng Lu
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2020 – today
- 2024
[j42]Beibei Zhang, Shifen Cheng, Peixiao Wang, Feng Lu:
Inferring freeway traffic volume with spatial interaction enhanced betweenness centrality. Int. J. Appl. Earth Obs. Geoinformation 129: 103818 (2024)- [j41]Kang Liu, Xin Jin, Shifen Cheng, Song Gao, Ling Yin, Feng Lu:
Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models. Int. J. Geogr. Inf. Sci. 38(3): 407-431 (2024) - [j40]Yibo Zhao, Shifen Cheng, Beibei Zhang, Feng Lu:
Identifying the cargo types of road freight with semi-supervised trajectory semantic enhancement. Int. J. Geogr. Inf. Sci. 38(3): 432-453 (2024) - [j39]Chen Chu, Hengcai Zhang, Peixiao Wang, Feng Lu:
Simulating human mobility with a trajectory generation framework based on diffusion model. Int. J. Geogr. Inf. Sci. 38(5): 847-878 (2024) - [j38]Shifen Cheng, Lizeng Wang, Peixiao Wang, Feng Lu:
An ensemble spatial prediction method considering geospatial heterogeneity. Int. J. Geogr. Inf. Sci. 38(9): 1856-1880 (2024) - [j37]Jialiang Gao, Peng Peng, Feng Lu, Christophe Claramunt, Peiyuan Qiu, Yang Xu:
Mining tourist preferences and decision support via tourism-oriented knowledge graph. Inf. Process. Manag. 61(1): 103523 (2024) - [j36]Yang Xu, Peng Peng, Christophe Claramunt, Feng Lu, Ran Yan:
Cascading failure modelling in global container shipping network using mass vessel trajectory data. Reliab. Eng. Syst. Saf. 249: 110231 (2024) - [j35]Jialiang Gao, Peng Peng, Feng Lu, Shu Wang, Xiaowei Xie, Christophe Claramunt:
Knowledge-driven spatial competitive intelligence for tourism. Trans. GIS 28(3): 535-563 (2024) - [c23]Peixiao Wang, Hengcai Zhang, Feng Lu:
Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model. SpatialDI 2024: 242-251 - [c22]Yang Xu, Peng Peng, Christophe Claramunt, Feng Lu:
An Analysis of Container Transportation Multiplex Networks from the Perspective of Shipping Company. W2GIS 2024: 183-191 - [i1]Shaohua Wang, Xing Xie, Yong Li, Danhuai Guo, Zhi Cai, Yu Liu, Yang Yue, Xiao Pan, Feng Lu, Huayi Wu, Zhipeng Gui, Zhiming Ding, Bolong Zheng, Fuzheng Zhang, Tao Qin, Jingyuan Wang, Chuang Tao, Zhengchao Chen, Hao Lu, Jiayi Li, Hongyang Chen, Peng Yue, Wenhao Yu, Yao Yao, Leilei Sun, Yong Zhang, Longbiao Chen, Xiaoping Du, Xiang Li, Xueying Zhang, Kun Qin, Zhaoya Gong, Weihua Dong, Xiaofeng Meng:
Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence. CoRR abs/2405.19730 (2024) - 2023
- [j34]Peng Peng, Christophe Claramunt, Shifen Cheng, Yu Yang, Feng Lu:
A multi-layer modelling approach for mining versatile ports of a global maritime transportation network. Int. J. Digit. Earth 16(1): 2129-2151 (2023) - [j33]Jialiang Gao, Peng Peng, Feng Lu, Christophe Claramunt, Yang Xu:
Towards travel recommendation interpretability: Disentangling tourist decision-making process via knowledge graph. Inf. Process. Manag. 60(4): 103369 (2023) - [j32]Chen Chu, Hengcai Zhang, Peixiao Wang, Feng Lu:
DeepIndoorCrowd: Predicting crowd flow in indoor shopping malls with an interpretable transformer network. Trans. GIS 27(6): 1699-1723 (2023) - [c21]Chen Chu, Hengcai Zhang, Feng Lu:
TrajGDM: A New Trajectory Foundation Model for Simulating Human Mobility. SIGSPATIAL/GIS 2023: 1:1-1:2 - [c20]Jialiang Gao, Peng Peng, Christophe Claramunt, Feng Lu:
A Heterogeneous Information Attentive Network for the Identification of Tourist Attraction Competitors. W2GIS 2023: 166-178 - 2022
- [j31]Chunlei Mi, Shifen Cheng, Feng Lu:
Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks. ISPRS Int. J. Geo Inf. 11(3): 185 (2022) - [j30]Zongcai Huang, Peiyuan Qiu, Li Yu, Feng Lu:
MSEN-GRP: A Geographic Relations Prediction Model Based on Multi-Layer Similarity Enhanced Networks for Geographic Relations Completion. ISPRS Int. J. Geo Inf. 11(9): 493 (2022) - [j29]Mingxiao Li, Wei Tu, Feng Lu:
Sensing the Nighttime Economy-Housing Imbalance from a Mobile Phone Data Perspective: A Case Study in Shanghai. Remote. Sens. 14(12): 2738 (2022) - [j28]Peng Peng, Christophe Claramunt, Shifen Cheng, Feng Lu:
How Does a Port Build Influence? Diffusion Patterns in Global Oil Transportation. Sensors 22(22): 8595 (2022) - [c19]Yang Xu, Peng Peng, Christophe Claramunt, Feng Lu:
Impact of COVID-19 on Tourists' Travel Intentions and Behaviors: The Case Study of Hong Kong, China. W2GIS 2022: 18-27 - 2021
- [j27]Mingxiao Li, Song Gao, Feng Lu, Kang Liu, Hengcai Zhang, Wei Tu:
Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks. Int. J. Geogr. Inf. Sci. 35(12): 2489-2516 (2021) - [j26]Géraldine Del Mondo, Peng Peng, Jérôme Gensel, Christophe Claramunt, Feng Lu:
Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation. ISPRS Int. J. Geo Inf. 10(8): 541 (2021) - [j25]Peiyuan Qiu, Jialiang Gao, Feng Lu:
Identifying the Relatedness between Tourism Attractions from Online Reviews with Heterogeneous Information Network Embedding. ISPRS Int. J. Geo Inf. 10(12): 797 (2021) - [j24]Shifen Cheng, Feng Lu, Peng Peng:
Short-Term Traffic Forecasting by Mining the Non-Stationarity of Spatiotemporal Patterns. IEEE Trans. Intell. Transp. Syst. 22(10): 6365-6383 (2021) - 2020
- [j23]Shifen Cheng, Peng Peng, Feng Lu:
A lightweight ensemble spatiotemporal interpolation model for geospatial data. Int. J. Geogr. Inf. Sci. 34(9): 1849-1872 (2020) - [j22]Jie Chen, Tao Pei, Mingxiao Li, Ci Song, Ting Ma, Feng Lu, Shih-Lung Shaw:
An enhanced model for evacuation vulnerability assessment in urban areas. Comput. Environ. Urban Syst. 84: 101540 (2020) - [c18]Peng Peng, Feng Lu:
Mapping the Port Influence Diffusion Patterns: A Case Study of Rotterdam, Antwerp and Singapore. ICCS (4) 2020: 266-276
2010 – 2019
- 2019
- [j21]Peixiao Wang, Hongen Wang, Hengcai Zhang, Feng Lu, Sheng Wu:
A Hybrid Markov and LSTM Model for Indoor Location Prediction. IEEE Access 7: 185928-185940 (2019) - [j20]Li Yu, Peiyuan Qiu, Jialiang Gao, Feng Lu:
A Knowledge-Based Filtering Method for Open Relations among Geo-Entities. ISPRS Int. J. Geo Inf. 8(2): 59 (2019) - [j19]Peiyuan Qiu, Jialiang Gao, Li Yu, Feng Lu:
Knowledge Embedding with Geospatial Distance Restriction for Geographic Knowledge Graph Completion. ISPRS Int. J. Geo Inf. 8(6): 254 (2019) - [j18]Peixiao Wang, Sheng Wu, Hengcai Zhang, Feng Lu:
Indoor Location Prediction Method for Shopping Malls Based on Location Sequence Similarity. ISPRS Int. J. Geo Inf. 8(11): 517 (2019) - [j17]Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu:
Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting. Knowl. Based Syst. 180: 116-132 (2019) - [j16]Hongchu Yu, Zhixiang Fang, Feng Lu, Alan T. Murray, Zhiyuan Zhao, Yang Xu, Xiping Yang:
Massive Automatic Identification System Sensor Trajectory Data-Based Multi-Layer Linkage Network Dynamics of Maritime Transport along 21st-Century Maritime Silk Road. Sensors 19(19): 4197 (2019) - [j15]Kang Liu, Song Gao, Feng Lu:
Identifying spatial interaction patterns of vehicle movements on urban road networks by topic modelling. Comput. Environ. Urban Syst. 74: 50-61 (2019) - [j14]Mingxiao Li, Song Gao, Feng Lu, Hengcai Zhang:
Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data. Comput. Environ. Urban Syst. 77 (2019) - 2018
- [j13]Li Yu, Peiyuan Qiu, Xiliang Liu, Feng Lu, Bo Wan:
A holistic approach to aligning geospatial data with multidimensional similarity measuring. Int. J. Digit. Earth 11(8): 845-862 (2018) - [j12]Jie Chen, Tao Pei, Shih-Lung Shaw, Feng Lu, Mingxiao Li, Shifen Cheng, Xiliang Liu, Hengcai Zhang:
Fine-grained prediction of urban population using mobile phone location data. Int. J. Geogr. Inf. Sci. 32(9): 1770-1786 (2018) - [j11]Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu:
A Spatiotemporal Multi-View-Based Learning Method for Short-Term Traffic Forecasting. ISPRS Int. J. Geo Inf. 7(6): 218 (2018) - [j10]Guo-Rong Cai, Songzhi Su, Chengcai Leng, Yun-Dong Wu, Feng Lu:
A Robust Transform Estimator Based on Residual Analysis and Its Application on UAV Aerial Images. Remote. Sens. 10(2): 291 (2018) - [j9]Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu:
Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity. Comput. Environ. Urban Syst. 71: 186-198 (2018) - [c17]Shifen Cheng, Feng Lu:
Short-Term Traffic Forecasting: A Dynamic ST-KNN Model Considering Spatial Heterogeneity and Temporal Non-Stationarity. EDBT/ICDT Workshops 2018: 133-140 - 2017
- [j8]Hengcai Zhang, Feng Lu:
GSMNet: A Hierarchical Graph Model for Moving Objects in Networks. ISPRS Int. J. Geo Inf. 6(3): 71 (2017) - [j7]Shifen Cheng, Feng Lu:
A Two-Step Method for Missing Spatio-Temporal Data Reconstruction. ISPRS Int. J. Geo Inf. 6(7): 187 (2017) - [j6]Kang Liu, Song Gao, Peiyuan Qiu, Xiliang Liu, Bo Yan, Feng Lu:
Road2Vec: Measuring Traffic Interactions in Urban Road System from Massive Travel Routes. ISPRS Int. J. Geo Inf. 6(11): 321 (2017) - [j5]Xiliang Liu, Kang Liu, Mingxiao Li, Feng Lu:
A ST-CRF Map-Matching Method for Low-Frequency Floating Car Data. IEEE Trans. Intell. Transp. Syst. 18(5): 1241-1254 (2017) - [c16]Xiliang Liu, Kang Liu, Mingxiao Li, Feng Lu, Mengdi Liao, Ren Yang:
SHE: Stepwise Heterogeneous Ensemble Method for Citywide Traffic Analysis. PredictGIS@SIGSPATIAL 2017: 3:1-3:10 - [c15]Xiliang Liu, Li Yu, Kang Liu, Peng Peng, Shifen Cheng, Mengdi Liao, Feng Lu:
ST-PF: Spatio-Temporal Particle Filter for Floating-Car Data Pre-processing. IF&GIS 2017: 197-211 - 2016
- [j4]Ziliang Zhao, Shih-Lung Shaw, Yang Xu, Feng Lu, Jie Chen, Ling Yin:
Understanding the bias of call detail records in human mobility research. Int. J. Geogr. Inf. Sci. 30(9): 1738-1762 (2016) - [j3]Hengcai Zhang, Feng Lu, Jianqiu Xu:
Modeling and Querying Moving Objects with Social Relationships. ISPRS Int. J. Geo Inf. 5(7): 121 (2016) - [j2]Hengcai Zhang, Feng Lu, Jie Chen:
A Line Graph-Based Continuous Range Query Method for Moving Objects in Networks. ISPRS Int. J. Geo Inf. 5(12): 246 (2016) - [c14]Li Yu, Feng Lu, Xueying Zhang, Xiliang Liu:
Context Enhanced Keyword Extraction for Sparse Geo-Entity Relation from Web Texts. APWeb Workshops 2016: 253-264 - [c13]Xiliang Liu, Li Yu, Peng Peng, Feng Lu:
A Stacked Generalization Framework for City Traffic Related Geospatial Data Analysis. APWeb Workshops 2016: 265-276 - [c12]Hengcai Zhang, Feng Lu, Jie Chen:
A Geo-Social Data Model for Moving Objects. DMBD 2016: 115-122 - [c11]Jinhai Chen, Feng Lu, Mingxiao Li, Pengfei Huang, Xiliang Liu, Qiang Mei:
Optimization on Arrangement of Precaution Areas Serving for Ships' Routeing in the Taiwan Strait Based on Massive AIS Data. DMBD 2016: 123-133 - [c10]Kang Liu, Peiyuan Qiu, Mingxiao Li, Xiliang Liu, Feng Lu:
Exploring urban travel routes' characteristics from a geometric perspective. Geoinformatics 2016: 1-6 - [c9]Li Yu, Xiliang Liu, Mingxiao Li, Peng Peng, Feng Lu:
A holistic framework of geographical semantic web aligning. GIR 2016: 1:1-1:10 - 2015
- [j1]Jianqin Zhang, Peiyuan Qiu, Yingchao Duan, Mingyi Du, Feng Lu:
A space-time visualization analysis method for taxi operation in Beijing. J. Vis. Lang. Comput. 31: 1-8 (2015) - [c8]Xiliang Liu, Feng Lu:
ST-CRF: A Novel Map Matching Approach for Low-frequency Floating Car Data. IWGS 2015: 9-18 - 2013
- [c7]Peiyuan Qiu, Feng Lu, Hengcai Zhang:
Extracting traffic information from web texts with a D-S evidence theory based approach. Geoinformatics 2013: 1-5 - 2012
- [c6]Liang Zhou, Feng Lu, Hengcai Zhang:
Evaluating road selectivity of urban-trip based on dynamic betweenness centrality. Geoinformatics 2012: 1-5 - [c5]Xiliang Liu, Feng Lu, Hengcai Zhang, Peiyuan Qiu:
Estimating Beijing's travel delays at intersections with floating car data. CTS@SIGSPATIAL 2012: 14-19 - 2011
- [c4]Feng Lu, Xing Xie, Shih-Lung Shaw:
TDMA'11 workshop overview. UbiComp 2011: 635-636
2000 – 2009
- 2006
- [c3]Feng Lu, Poh-Chin Lai:
A Shortest Path Algorithm Based on Limited Search Heuristics. CSR 2006: 487-497 - [c2]Mingbo Zhang, Feng Lu, Changxiu Cheng:
A Forced Transplant Algorithm for Dynamic R-tree Implementation. DEXA 2006: 459-466 - [c1]Feng Lu, Poh-Chin Lai:
A Shortest Path Searching Method with Area Limitation Heuristics. International Conference on Computational Science (1) 2006: 884-887
Coauthor Index
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