Jie Yang

Orcid: 0009-0000-3995-6761

Affiliations:
  • Hangzhou Dianzi University, Key Lab for IOT and Information Fusion Technology of Zhejiang, China
  • Hangzhou Dianzi University, Artificial Intelligence Institute, China


According to our database1, Jie Yang authored at least 11 papers between 2016 and 2026.

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

2026
Spatio-Temporal Feature Learning Fusion and Visual Scene Endpoint Prediction for Pedestrian Trajectory Prediction.
IEEE Trans. Intell. Transp. Syst., January, 2026

2025
Semi-supervised prototype network with domain adversarial for few-shot fault diagnosis.
Appl. Intell., August, 2025

Unified Complementary Learning with Feature Perturbation for Semi-Supervised Learning.
Algorithms, 2025

2023
Recognition of Punctured Convolutional Codes Based on Multi-scale CNN.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Recognition of Punctured Convolutional Codes Based on Multi-scale CNN.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

2021
A Solver of Fukunaga Koontz Transformation without Matrix Decomposition.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Facial Nerve Paralysis Assessment based on Regularized Correntropy Criterion SSELM<sup>vc</sup> and Cascade CNN.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Robust Maximum Mixture Correntropy Criterion-Based Semi-Supervised ELM With Variable Center.
IEEE Trans. Circuits Syst., 2020

Regularized correntropy criterion based semi-supervised ELM.
Neural Networks, 2020

2018
A Categorically Reweighted Feature Extraction Method for Anomaly Detection.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

2016
A dictionary based survival error compensation for robust adaptive filtering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016


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