Detecting Spatiotemporal Features and Rationalities of Urban Expansions within the Guangdong-Hong Kong-Macau Greater Bay Area of China from 1987 to 2017 Using Time-Series Landsat Images and Socioeconomic Data. - Chao Yang 010; Qingquan Li; Tianhong Zhao; Huizeng Liu; Wenxiu Gao; Tiezhu Shi; Minglei Guan; Guofeng Wu (Remote. Sens., 2019)

OCD: Online Crowdsourced Delivery for On-Demand Food. - Wei Tu 001; Tianhong Zhao; Baoding Zhou; Jincheng Jiang; Jizhe Xia; Qingquan Li (IEEE Internet Things J., 2020)

Collaboratively inspect large-area sewer pipe networks using pipe robotic capsules. - Yu Gu 025; Wei Tu 001; Qingquan Li; Tianhong Zhao; Dingyi Zhao; Song Zhu; Jiasong Zhu (SIGSPATIAL/GIS, 2021)

Correction: Yang et al. Detecting Spatiotemporal Features and Rationalities of Urban Expansions within the Guangdong-Hong Kong-Macau Greater Bay Area of China from 1987 to 2017 Using Time-Series Landsat Images and Socioeconomic Data. Remote Sens. 2019, 11, 2215. - Chao Yang 010; Qingquan Li; Tianhong Zhao; Huizeng Liu; Wenxiu Gao; Tiezhu Shi; Minglei Guan; Guofeng Wu (Remote. Sens., 2022)

Optimizing Living Material Delivery During the COVID-19 Outbreak. - Tianhong Zhao; Wei Tu 001; Zhixiang Fang; Xiaofan Wang; Zhengdong Huang; Shengwu Xiong 001; Meng Zheng (IEEE Trans. Intell. Transp. Syst., 2022)

Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction. - Tianhong Zhao; Zhengdong Huang; Wei Tu 001; Biao He; Rui Cao 001; Jinzhou Cao; Mingxiao Li 001 (Comput. Environ. Urban Syst., 2022)

Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus. - Tianhong Zhao; Zhengdong Huang; Wei Tu 001; Filip Biljecki; Long Chen 005 (Int. J. Geogr. Inf. Sci., 2023)

Sensing urban soundscapes from street view imagery. - Tianhong Zhao; Xiucheng Liang; Wei Tu 001; Zhengdong Huang; Filip Biljecki (Comput. Environ. Urban Syst., 2023)

Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives. - Filip Biljecki; Tianhong Zhao; Xiucheng Liang; Yujun Hou (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Incorporating multimodal context information into traffic speed forecasting through graph deep learning. - Yatao Zhang; Tianhong Zhao; Song Gao 001; Martin Raubal (Int. J. Geogr. Inf. Sci., 2023)

Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning. - Wei Tu 001; Haoyu Ye; Ke Mai; Meng Zhou 004; Jincheng Jiang; Tianhong Zhao; Shengao Yi; Qingquan Li (Int. J. Geogr. Inf. Sci., 2024)

Graph convolutional networks for street network analysis with a case study of urban polycentricity in Chinese cities. - Ding Ma 002; Fangning He; Yang Yue 001; Renzhong Guo; Tianhong Zhao; Mingshu Wang (Int. J. Geogr. Inf. Sci., 2024)

Semantics-Guided Dynamic Hypergraph Network for Human Mobility Nowcasting in Disaster. - Bowen Zhang 005; Yunlong Xing; Zinao Su; Jinzhou Cao; Tianhong Zhao; Genan Dai (ICASSP, 2025)

SemiGPS: GraphGPS-based Semi-supervised Graph Learning for Sector-Specific GDP Mapping. - Jinzhou Cao; Xiangxu Wang; Jiashi Chen; Bowen Zhang; Yahan Ma; Tianhong Zhao (ICASSP, 2025)

Spatiotemporal Analysis of Urban Vitality and Its Drivers from a Human Mobility Perspective. - Youwan Wu; Chenxi Xie; Aiping Zhang; Tianhong Zhao; Jinzhou Cao (ISPRS Int. J. Geo Inf., 2025)

Disentangling the hourly dynamics of mixed urban function: A multimodal fusion perspective using dynamic graphs. - Jinzhou Cao; Xiangxu Wang; Guanzhou Chen 001; Wei Tu 001; Xiaole Shen; Tianhong Zhao; Jiashi Chen; Qingquan Li (Inf. Fusion, 2025)

ZenSVI: An open-source software for the integrated acquisition, processing and analysis of street view imagery towards scalable urban science. - Koichi Ito 004; Yihan Zhu; Mahmoud Abdelrahman; Xiucheng Liang; Zicheng Fan; Yujun Hou; Tianhong Zhao; Rui Ma; Kunihiko Fujiwara; Jiani Ouyang; Matias Quintana; Filip Biljecki (Comput. Environ. Urban Syst., 2025)

Quantifying seasonal bias in street view imagery for urban form assessment: A global analysis of 40 cities. - Tianhong Zhao; Xiucheng Liang; Filip Biljecki; Wei Tu 001; Jinzhou Cao; Xiaojiang Li; Shengao Yi (Comput. Environ. Urban Syst., 2025)

OpenFACADES: An Open Framework for Architectural Caption and Attribute Data Enrichment via Street View Imagery. - Xiucheng Liang; Jinheng Xie; Tianhong Zhao; Rudi Stouffs; Filip Biljecki (CoRR, 2025)

Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach. - Jinzhou Cao; Xiangxu Wang; Jiashi Chen; Wei Tu 001; Zhenhui Li; Xindong Yang; Tianhong Zhao; Qingquan Li (CoRR, 2025)

Planning for Cooler Cities: A Multimodal AI Framework for Predicting and Mitigating Urban Heat Stress through Urban Landscape Transformation. - Shengao Yi; Xiaojiang Li; Wei Tu 001; Tianhong Zhao (CoRR, 2025)

ST-Camba: A decoupled-free spatiotemporal graph fusion state space model with linear complexity for efficient traffic forecasting. - Xiangxu Wang; Jinzhou Cao; Tianhong Zhao; Bowen Zhang; Guanzhou Chen 001; Zhenhui Li; Haolin Chen; Wei Tu 001; Qingquan Li (Inf. Fusion, 2026)