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Huanfa Chen
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2020 – today
- 2024
- [j11]Huanfa Chen, Xiaowei Gao, Kangdi Chen, Honghan Bei, Roberto Murcio:
Addressing the spatial disparity of COVID-19 vaccination services: A spatial optimisation approach. Int. J. Appl. Earth Obs. Geoinformation 130: 103881 (2024) - [j10]Xuechen Wang, Huanfa Chen, Yu Liu:
Learning place representations from spatial interactions. Int. J. Geogr. Inf. Sci. 38(6): 1065-1090 (2024) - [i4]Xiaowei Gao, James Haworth, Ilya Ilyankou, Xianghui Zhang, Tao Cheng, Stephen Law, Huanfa Chen:
SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction. CoRR abs/2407.17642 (2024) - [i3]Sunyu Wang, Yutong Xia, Huanfa Chen, Xinyi Tong, Yulun Zhou:
Evolutionary Greedy Algorithm for Optimal Sensor Placement Problem in Urban Sewage Surveillance. CoRR abs/2409.16770 (2024) - 2023
- [j9]Tao Cheng, Huanfa Chen:
Special issue on "multi-scale and multimodal human mobility: pre, peri and post COVID-19 pandemic". Geo spatial Inf. Sci. 26(4): 599-602 (2023) - [j8]Xiaowei Gao, Huanfa Chen, James Haworth:
A spatiotemporal analysis of the impact of lockdown and coronavirus on London's bicycle hire scheme: from response to recovery to a new normal. Geo spatial Inf. Sci. 26(4): 664-684 (2023) - [j7]Huanfa Chen, Yan Cheng:
Travel Mode Choice Prediction Using Imbalanced Machine Learning. IEEE Trans. Intell. Transp. Syst. 24(4): 3795-3808 (2023) - [c2]Huanfa Chen, Rongbo Xu:
Achieving Least Relocation of Existing Facilities in Spatial Optimisation: A Bi-Objective Model (Short Paper). GIScience 2023: 19:1-19:5 - [c1]Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang:
Uncertainty Quantification in the Road-Level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN) (Short Paper). GIScience 2023: 33:1-33:6 - [i2]Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang:
Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN). CoRR abs/2307.13816 (2023) - [i1]Xiaowei Gao, Xinke Jiang, Dingyi Zhuang, Huanfa Chen, Shenhao Wang, James Haworth:
Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction. CoRR abs/2309.05072 (2023) - 2021
- [j6]Nilufer Sari Aslam, Mohamed R. Ibrahim, Tao Cheng, Huanfa Chen, Yang Zhang:
ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs. Geo spatial Inf. Sci. 24(4): 711-721 (2021) - [j5]Huanfa Chen, Alan T. Murray, Rui Jiang:
Open-source approaches for location cover models: capabilities and efficiency. J. Geogr. Syst. 23(3): 361-380 (2021) - 2020
- [j4]Yibin Ren, Huanfa Chen, Yong Han, Tao Cheng, Yang Zhang, Ge Chen:
A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes. Int. J. Geogr. Inf. Sci. 34(4): 802-823 (2020)
2010 – 2019
- 2019
- [j3]Huanfa Chen, Tao Cheng, Xinyue Ye:
Designing efficient and balanced police patrol districts on an urban street network. Int. J. Geogr. Inf. Sci. 33(2): 269-290 (2019) - 2018
- [j2]Huanfa Chen, Tao Cheng, John Shawe-Taylor:
A Balanced Route Design for Min-Max Multiple-Depot Rural Postman Problem (MMMDRPP): a police patrolling case. Int. J. Geogr. Inf. Sci. 32(1): 169-190 (2018) - 2017
- [j1]Huanfa Chen, Tao Cheng, Sarah C. Wise:
Developing an online cooperative police patrol routing strategy. Comput. Environ. Urban Syst. 62: 19-29 (2017)
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