Developing an online cooperative police patrol routing strategy. - Huanfa Chen; Tao Cheng 004; Sarah C. Wise (Comput. Environ. Urban Syst., 2017)

A Balanced Route Design for Min-Max Multiple-Depot Rural Postman Problem (MMMDRPP): a police patrolling case. - Huanfa Chen; Tao Cheng 004; John Shawe-Taylor (Int. J. Geogr. Inf. Sci., 2018)

Designing efficient and balanced police patrol districts on an urban street network. - Huanfa Chen; Tao Cheng 004; Xinyue Ye (Int. J. Geogr. Inf. Sci., 2019)

A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes. - Yibin Ren; Huanfa Chen; Yong Han; Tao Cheng 004; Yang Zhang 039; Ge Chen 002 (Int. J. Geogr. Inf. Sci., 2020)

ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs. - Nilufer Sari Aslam; Mohamed R. Ibrahim; Tao Cheng 004; Huanfa Chen; Yang Zhang 039 (Geo spatial Inf. Sci., 2021)

Open-source approaches for location cover models: capabilities and efficiency. - Huanfa Chen; Alan T. Murray; Rui Jiang (J. Geogr. Syst., 2021)

Developing capacitated p-median location-allocation model in the spopt library to allow UCL student teacher placements using public transport. - Nick Bearman; Rongbo Xu; Patrick J. Roddy; James D. Gaboardi; Qunshan Zhao; Huanfa Chen; Levi John Wolf (AGILE Conf., 2023)

Achieving Least Relocation of Existing Facilities in Spatial Optimisation: A Bi-Objective Model (Short Paper). - Huanfa Chen; Rongbo Xu (GIScience, 2023)

Uncertainty Quantification in the Road-Level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN) (Short Paper). - Xiaowei Gao; James Haworth; Dingyi Zhuang; Huanfa Chen; Xinke Jiang (GIScience, 2023)

Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN). - Xiaowei Gao; James Haworth; Dingyi Zhuang; Huanfa Chen; Xinke Jiang (CoRR, 2023)

Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction. - Xiaowei Gao; Xinke Jiang; Dingyi Zhuang; Huanfa Chen; Shenhao Wang; James Haworth (CoRR, 2023)

Travel Mode Choice Prediction Using Imbalanced Machine Learning. - Huanfa Chen; Yan Cheng (IEEE Trans. Intell. Transp. Syst., 2023)

Special issue on "multi-scale and multimodal human mobility: pre, peri and post COVID-19 pandemic". - Tao Cheng 004; Huanfa Chen (Geo spatial Inf. Sci., 2023)

A spatiotemporal analysis of the impact of lockdown and coronavirus on London's bicycle hire scheme: from response to recovery to a new normal. - Xiaowei Gao; Huanfa Chen; James Haworth (Geo spatial Inf. Sci., 2023)

Addressing the spatial disparity of COVID-19 vaccination services: A spatial optimisation approach. - Huanfa Chen; Xiaowei Gao; Kangdi Chen; Honghan Bei; Roberto Murcio (Int. J. Appl. Earth Obs. Geoinformation, 2024)

SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction. - Xiaowei Gao; James Haworth; Ilya Ilyankou; Xianghui Zhang; Tao Cheng 004; Stephen Law; Huanfa Chen (CoRR, 2024)

Evolutionary Greedy Algorithm for Optimal Sensor Placement Problem in Urban Sewage Surveillance. - Sunyu Wang; Yutong Xia; Huanfa Chen; Xinyi Tong; Yulun Zhou (CoRR, 2024)

Learning place representations from spatial interactions. - Xuechen Wang; Huanfa Chen; Yu Liu 003 (Int. J. Geogr. Inf. Sci., 2024)

Cross-source transformer-based neighborhood contrastive learning for joint classification of hyperspectral and LiDAR Data. - Shuai Liu; Tong Yu; Jun Zhou; Guanglong Xing; Huanfa Chen (Inf. Fusion, 2025)