Xu Kang

Orcid: 0009-0005-2955-3068

Affiliations:
  • China University of Petroleum (Beijing) at Karamay, China
  • Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, China (PhD 2019)


According to our database1, Xu Kang authored at least 14 papers between 2016 and 2025.

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

Timeline

Legend:

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Bibliography

2025
High-Quality Trajectory Generation via Domain-Knowledge Enhanced GANs.
IEEE Internet Things J., August, 2025

Meta-Learning With Learnable Margin Triplet Loss for Few-Shot Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025

Adversarial Infrared Catmull-Rom Spline: A black-box attack on infrared pedestrian detectors in the physical world.
Inf. Sci., 2025

A Systematic Literature Review of Software Vulnerability Mining Approaches Based on Symbolic Execution.
Int. J. Softw. Eng. Knowl. Eng., 2025

Sample-customized implicit semantic data augmentation for neural networks regularization.
Neurocomputing, 2025

StrucFormer: Structural Prior Guided Transformer for Mobile Crowdsensing Data Inference.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
3DA-NTC: 3D Channel Attention Aided Neural Tensor Completion for Crowdsensing Data Inference.
Proceedings of the International Joint Conference on Neural Networks, 2024

Domain-Knowledge Enhanced GANs for High-Quality Trajectory Generation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Self-Representation and Generative Adversarial Learning-based Bluetooth Radio Map Reconstruction for Indoor Localization.
Proceedings of the 3rd International Conference on Artificial Intelligence, 2024

2021
TraG: A Trajectory Generation Technique for Simulating Urban Crowd Mobility.
IEEE Trans. Ind. Informatics, 2021

ESR-GAN: Environmental Signal Reconstruction Learning With Generative Adversarial Network.
IEEE Internet Things J., 2021

2017
Enhance the Quality of Crowdsensing for Fine-Grained Urban Environment Monitoring via Data Correlation.
Sensors, 2017

Urban context aware human mobility model based on temporal correlation.
Proceedings of the IEEE International Conference on Communications, 2017

2016
Data correlation based crowdsensing enhancement for environment monitoring.
Proceedings of the 2016 IEEE International Conference on Communications, 2016


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