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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
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2020 – today
- 2024
[j37]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)- [j36]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) - [j35]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) - 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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last updated on 2024-04-16 20:32 CEST by the dblp team
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