Jun Wang

Orcid: 0000-0002-9013-3071

Affiliations:
  • Xi'an Aerospace Propulsion Institute, Science and Technology on Liquid Rocket Engine Laboratory, China
  • Xi'an Jiaotong University, China (PhD 2010)


According to our database1, Jun Wang authored at least 11 papers between 2021 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
A Non-intrusive Plug-and-play Method for Hallucination Mitigation via LID-guided Input Preprocessing.
Mach. Intell. Res., April, 2026

2025
Dual-Control Inference Diffusion Model via Multi-Sensor High-Frequency Signal for Space Transportation Engine Anomaly Detection.
IEEE Trans. Intell. Transp. Syst., June, 2025

Graph embedded patch-sense autoencoder with prior knowledge for multi-component system anomaly detection.
Reliab. Eng. Syst. Saf., 2025

2024
Knowledge distillation-optimized two-stage anomaly detection for liquid rocket engine with missing multimodal data.
Reliab. Eng. Syst. Saf., January, 2024

2023
Unsupervised Multimodal Anomaly Detection With Missing Sources for Liquid Rocket Engine.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

A graph embedded in graph framework with dual-sequence input for efficient anomaly detection of complex equipment under insufficient samples.
Reliab. Eng. Syst. Saf., October, 2023

An asymmetrical graph Siamese network for one-classanomaly detection of engine equipment with multi-source fusion.
Reliab. Eng. Syst. Saf., July, 2023

2022
A soft-target difference scaling network via relational knowledge distillation for fault detection of liquid rocket engine under multi-source trouble-free samples.
Reliab. Eng. Syst. Saf., 2022

Make the Rocket Intelligent at IoT Edge: Stepwise GAN for Anomaly Detection of LRE With Multisource Fusion.
IEEE Internet Things J., 2022

Full Graph Autoencoder for One-Class Group Anomaly Detection of IIoT System.
IEEE Internet Things J., 2022

2021
A Supervised Framework for Recognition of Liquid Rocket Engine Health State Under Steady-State Process Without Fault Samples.
IEEE Trans. Instrum. Meas., 2021


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