Shuo Yang

Orcid: 0000-0001-8587-0045

Affiliations:
  • Inner Mongolia University, School of Computer Science, Hohhot, China
  • Qingdao University, School of Data Science and Software Engineering, Qingdao, China (former)
  • Dalian Minzu University, School of Information and Communication Engineering, Dalian, China (former)
  • Kyushu Institute of Technology, School of Engineering, Kitakyushu, Japan (former)


According to our database1, Shuo Yang authored at least 12 papers between 2019 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
STrack: Confidence-Level-Based Separate Tracking for Robust Multi-Object Tracking.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

2023
Multifeature Fusion-Based Object Detection for Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., January, 2023

2022
Global-PBNet: A Novel Point Cloud Registration for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

VLD-45: A Big Dataset for Vehicle Logo Recognition and Detection.
IEEE Trans. Intell. Transp. Syst., 2022

Improved Point-Voxel Region Convolutional Neural Network: 3D Object Detectors for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

Memory-augmented neural networks based dynamic complex image segmentation in digital twins for self-driving vehicle.
Pattern Recognit., 2022

Noncontact button operation system using hand gestures.
Comput. Electr. Eng., 2022

3D Object detector: A multiscale region proposal network based on autonomous driving.
Comput. Electr. Eng., 2022

2021
Multi-Scale Vehicle Logo Detector.
Mob. Networks Appl., 2021

Vehicle logo detection based on deep convolutional networks.
Comput. Electr. Eng., 2021

2020
Single Stage Vehicle Logo Detector Based on Multi-Scale Prediction.
IEICE Trans. Inf. Syst., 2020

2019
A New Dataset for Vehicle Logo Detection.
Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019


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