Dynamically Integrating OSM Data into a Borderland Database. - Xiaoguang Zhou; Lu Zeng; Yu Jiang; Kaixuan Zhou; Yijiang Zhao (ISPRS Int. J. Geo Inf., 2015)

A Spatio-Temporal VGI Model Considering Trust-Related Information. - Yijiang Zhao; Xiaoguang Zhou; Guangqiang Li; Hanfa Xing (ISPRS Int. J. Geo Inf., 2016)

Fusing Geographic Information Into Latent Factor Model for Pick-Up Region Recommendation. - Zhuhua Liao; Jian Zhang; Yizhi Liu; Hao Xiao; Yijiang Zhao; Aiping Yi (ICME Workshops, 2019)

DeepFM-Based Taxi Pick-Up Area Recommendation. - Xuesong Wang; Yizhi Liu; Zhuhua Liao; Yijiang Zhao (ICPR Workshops (5), 2020)

Taxi Pick-Up Area Recommendation via Integrating Spatio-Temporal Contexts into XDeepFM. - Decheng Zhang; Yizhi Liu; Xuesong Wang; Zhuhua Liao; Yijiang Zhao (ChineseCSCW (2), 2021)

Experience-based Pickup Area Recommendation on Taxi's GPS Trajectories. - Zhuhua Liao; Jian Zhang; Aiping Yi; Yizhi Liu; Yijiang Zhao; Silin Liu (HPCC/DSS/SmartCity/DependSys, 2021)

Using Feature Interaction among GPS Data for Road Intersection Detection. - Rutian Qing; Yizhi Liu; Yijiang Zhao; Zhuhua Liao; Yuxuan Liu (HUMA @ ACM Multimedia, 2021)

Road Intersection Recognition via Combining Classification Model and Clustering Algorithm Based on GPS Data. - Yizhi Liu; Rutian Qing; Yijiang Zhao; Zhuhua Liao (ISPRS Int. J. Geo Inf., 2022)

Nonsmooth control based on finite-time disturbance estimator for the translational oscillator with a rotational actuator system with nonvanishing disturbances. - Xianqing Wu; Yijiang Zhao (J. Syst. Control. Eng., 2022)

Discovering transition patterns among OpenStreetMap feature classes based on the Louvain method. - Yijiang Zhao; Wentao Yang 002; Yizhi Liu; Zhuhua Liao (Trans. GIS, 2022)

Fusing Spatio-Temporal Contexts into DeepFM for Taxi Pick-Up Area Recommendation. - Yizhi Liu; Rutian Qing; Yijiang Zhao; Xuesong Wang; Zhuhua Liao; Qinghua Li; Buqing Cao (Comput. Syst. Sci. Eng., 2023)

Analysis and Forecast of Traffic Flow between Urban Functional Areas Based on Ride-Hailing Trajectories. - Zhuhua Liao; Haokai Huang; Yijiang Zhao; Yizhi Liu; Guoqiang Zhang (ISPRS Int. J. Geo Inf., 2023)

Multi-Type Features Embedded Deep Learning Framework for Residential Building Prediction. - Yijiang Zhao; Xiao Tang; Zhuhua Liao; Yizhi Liu; Min Liu; Jian Lin (ISPRS Int. J. Geo Inf., 2023)

Predicting ride-hailing passenger demand: A POI-based adaptive clustering federated learning approach. - Zhuhua Liao; Shoubin Li; Yijiang Zhao; Yizhi Liu; Wei Liang 005; Shaohua Wan 001 (Future Gener. Comput. Syst., 2024)

Lyapunov approach for the control of overhead crane systems with double-pendulum dynamics and uncertain disturbances. - Yijiang Zhao; Xianqing Wu; Yibo Zhang; Liuting Ke (J. Syst. Control. Eng., 2024)

Output feedback control for overhead cranes subject to double-pendulum swing effects and uncertain disturbances. - Meizhen Lei; Xianqing Wu; Yijiang Zhao; Fang Li (Trans. Inst. Meas. Control, 2024)

EIBC: a deep learning framework for Chinese toponym recognition with multiple layers. - Yijiang Zhao; Daoan Zhang; Lei Jiang 007; Qi Liu; Yizhi Liu; Zhuhua Liao (J. Geogr. Syst., 2024)

Planning city-wide delivery paths for periodical logistics tasks in smart supply chains. - Gaoxian Peng; Yiping Wen; Tiancai Li; Aimin Chen; Yijiang Zhao (Wirel. Networks, 2024)

Collaborative Federated Learning in Mobile Vehicle Clouds for Online Ride-Hailing Passenger Zones Recommendation. - Zhuhua Liao; Xinyu Zhou; Wei Liang 005; Kuan-Ching Li; Yizhi Liu; Yijiang Zhao (IEEE Internet Things J., 2024)

PillarVTP: vehicle trajectory prediction method based on local point cloud aggregation and receptive field expansion. - Zhuhua Liao; Jiyuan Yang; Yijiang Zhao; Yizhi Liu; Hui Zhang (Multim. Syst., 2024)

A semi-asynchronous federated learning method integrating personalization and staleness awareness for traffic flow prediction in dynamic Internet of Vehicles. - Peng Zhao; Zhuhua Liao; Yijiang Zhao; Jianbo Xu; Aiping Yi (J. Supercomput., 2025)