Xiang Wang

Orcid: 0000-0001-6113-0923

Affiliations:
  • Soochow University, Suzhou, Jiangsu, China


According to our database1, Xiang Wang authored at least 13 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
AutoML-BIMCTS: Optimizing Information Flow Topology for Heterogeneous Vehicle Platoons Under Communication Constraints.
IEEE Internet Things J., October, 2025

ST-GMLP: A concise spatial-temporal framework based on gated multi-layer perceptron for traffic flow forecasting.
Neural Networks, 2025

Spatial-Temporal Attention-based Interaction-aware trajectory prediction for human-driven vehicles at freeway merging areas.
Eng. Appl. Artif. Intell., 2025

2024
A More Balanced Loss-Reweighting Method for Long-Tailed Traffic Sign Detection and Recognition.
IEEE Trans. Intell. Transp. Syst., December, 2024

Variable Weight Combination Model for Lane- Changing Prediction of Human-Driven Vehicle.
IEEE Trans. Intell. Veh., October, 2024

GT-LSTM: A spatio-temporal ensemble network for traffic flow prediction.
Neural Networks, 2024

2023
A Neural Network Based on Spatial Decoupling and Patterns Diverging for Urban Rail Transit Ridership Prediction.
IEEE Trans. Intell. Transp. Syst., December, 2023

2022
Long-Tailed Traffic Sign Detection Using Attentive Fusion and Hierarchical Group Softmax.
IEEE Trans. Intell. Transp. Syst., 2022

2020
Automatic Background Construction and Object Detection Based on Roadside LiDAR.
IEEE Trans. Intell. Transp. Syst., 2020

2019
A portable roadside vehicle detection system based on multi-sensing fusion.
Int. J. Sens. Networks, 2019

A Decision Tree Based Road Recognition Approach Using Roadside Fixed 3D LiDAR Sensors.
IEEE Access, 2019

AR<sub>P</sub>ILC: An Approach for Short-Term Prediction of Freeway Entrance Flow.
IEEE Access, 2019

A Multitask Learning Neural Network for Short-Term Traffic Speed Prediction and Confidence Estimation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019


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