Zhihao Xu

发表

DeepSTF: A Deep Spatial-Temporal Forecast Model of Taxi Flow

Jianbo Li, Zhiqiang Lv, Chuanhao Dong, 2021, Comput. J..

Taxi travel time prediction based on fusion of traffic condition features

Zhiqiang Lv, Zhihao Xu, Zhaoyu Sheng, 2023, Comput. Electr. Eng..

Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index

Jianbo Li, Zhiqiang Lv, Chuanhao Dong, 2021, Data & Knowledge Engineering.

Blind Travel Prediction Based on Obstacle Avoidance in Indoor Scene

Jianbo Li, Zhiqiang Lv, Zhihao Xu, 2021, Wirel. Commun. Mob. Comput..

Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation

Zhiqiang Lv, Zhihao Xu, Yue Wang, 2022, ACM Trans. Knowl. Discov. Data.

A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors

Jianbo Li, Zhiqiang Lv, Zhihao Xu, 2023, IEEE Intelligent Transportation Systems Magazine.

A Novel Approach for Predicting Water Demand with Complex Patterns Based on Ensemble Learning

Zhiqiang Lv, Zhihao Xu, Jianbo Li, 2022, Water Resources Management.

A classification method for urban functional regions based on the transfer rate of empty cars

Jianbo Li, L. Fu, Zhiqiang Lv, 2021, IET Intelligent Transport Systems.

DeepPTP: A Deep Pedestrian Trajectory Prediction Model for Traffic Intersection

Zhiqiang Lv, Chuanhao Dong, Zhihao Xu, 2021, KSII Trans. Internet Inf. Syst..

A graph spatial-temporal model for predicting population density of key areas

Jianbo Li, Zhiqiang Lv, Zhihao Xu, 2021, Computers & Electrical Engineering.

DDFM: A Novel Perspective on Urban Travel Demand Forecasting Based on the Ensemble Empirical Mode Decomposition and Deep Learning

Zhihao Xu, Rongkun Ye, Junjie Pang, 2022, ICBDT.

Will the Order Be Canceled? Order Cancellation Probability Prediction Based on Deep Residual Model

Zhiqiang Lv, Zhihao Xu, Zhaoyu Sheng, 2023, Transportation Research Record: Journal of the Transportation Research Board.

A new approach to COVID-19 data mining: A deep spatial–temporal prediction model based on tree structure for traffic revitalization index

Zhiqiang Lv, Zhihao Xu, Zesheng Cheng, 2023, Data & Knowledge Engineering.

GASTO: A Fast Adaptive Graph Learning Framework for Edge Computing Empowered Task Offloading

Zhiqiang Lv, Zhihao Xu, Yinong Li, 2023, IEEE Transactions on Network and Service Management.

A prediction method for population density in key areas

Jianbo Li, Zhiqiang Lv, Zhihao Xu, 2021, Other Conferences.

Progress and prospects of future urban health status prediction

Zhiqiang Lv, Zhihao Xu, Zhaoyu Sheng, 2024, Eng. Appl. Artif. Intell..

Fast autoregressive tensor decomposition for online real-time traffic flow prediction

Zhiqiang Lv, Zhihao Xu, Jianbo Li, 2023, Knowl. Based Syst..

Parallel Computing of Spatio-Temporal Model Based on Deep Reinforcement Learning

Jianbo Li, Zhiqiang Lv, Zhihao Xu, 2021, WASA.

Optimization of spatial-temporal graph: A taxi demand forecasting model based on spatial-temporal tree

Zhiqiang Lv, Zhihao Xu, Jianbo Li, 2023, Inf. Fusion.

TreeCN: Time Series Prediction With the Tree Convolutional Network for Traffic Prediction

Zhiqiang Lv, Zhihao Xu, Zesheng Cheng, 2024, IEEE Transactions on Intelligent Transportation Systems.

Deep spatial-temporal travel time prediction model based on trajectory feature

Zhiqiang Lv, Zhihao Xu, Zhaoyu Sheng, 2023, Comput. Electr. Eng..

A Fast Spatial-temporal Information Compression algorithm for online real-time forecasting of traffic flow with complex nonlinear patterns

Zhiqiang Lv, Zhihao Xu, Jianbo Li, 2024, Chaos, Solitons & Fractals.