Sheng Wu

According to our database, Sheng Wu authored at least 9 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Predicting tourism demand using data based on a two-stage feature selection: A hybrid deep learning approach incorporating Time2Vec.

Jinghui Wei, Sheng Wu, Qiangwen Zheng

Eng. Appl. Artif. Intell., 2026

2025

VoxT-GNN: A 3D object detection approach from point cloud based on voxel-level transformer and graph neural network.

Qiangwen Zheng, Sheng Wu, Jinghui Wei

Inf. Process. Manag., 2025

Predicting the Next Location of Urban Individuals via a Representation-Enhanced Multi-View Learning Network.

Maoqi Lun, Peixiao Wang, Sheng Wu, Hengcai Zhang, Shifen Cheng, Feng Lu

ISPRS Int. J. Geo Inf., 2025

2020

Predicting Indoor Location based on a Hybrid Markov-LSTM Model.

Peixiao Wang, Sheng Wu, Hengcai Zhang

Proceedings of the Web and Wireless Geographical Information Systems, 2020

2019

Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting.

Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu

Knowl. Based Syst., 2019

Indoor Location Prediction Method for Shopping Malls Based on Location Sequence Similarity.

Peixiao Wang, Sheng Wu, Hengcai Zhang, Feng Lu

ISPRS Int. J. Geo Inf., 2019

A Hybrid Markov and LSTM Model for Indoor Location Prediction.

Peixiao Wang, Hongen Wang, Hengcai Zhang, Feng Lu, Sheng Wu

IEEE Access, 2019

2018

Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity.

Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu

Comput. Environ. Urban Syst., 2018

A Spatiotemporal Multi-View-Based Learning Method for Short-Term Traffic Forecasting.

Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu

ISPRS Int. J. Geo Inf., 2018