Jingyao Wu

Orcid: 0000-0002-9968-8348

According to our database1, Jingyao Wu authored at least 19 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Information-Imbalance Learning With Hazard-Sensitive Loss for Machine Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024

2023
Intelligent temporal detection network for boundary-sensitive flight regime recognition.
Eng. Appl. Artif. Intell., November, 2023

Global Prior Transformer Network in Intelligent Borescope Inspection for Surface Damage Detection of Aeroengine Blade.
IEEE Trans. Ind. Informatics, August, 2023

Interinstance and Intratemporal Self-Supervised Learning With Few Labeled Data for Fault Diagnosis.
IEEE Trans. Ind. Informatics, May, 2023

Aircraft flight regime recognition with deep temporal segmentation neural network.
Eng. Appl. Artif. Intell., April, 2023

A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information.
IEEE Trans. Affect. Comput., 2023

Constrained Dynamical Neural ODE for Time Series Modelling: A Case Study on Continuous Emotion Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2023

Belief Mismatch Coefficient (BMC): A Novel Interpretable Measure of Prediction Accuracy for Ambiguous Emotion States.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, 2023

2022
OPAL: Occlusion Pattern Aware Loss for Unsupervised Light Field Disparity Estimation.
CoRR, 2022

The Analysis of Student Experimental Behavior Based on Multi-source Information Fusion.
Proceedings of the IEEE International Conference on Teaching, 2022

A Novel Sequential Monte Carlo Framework for Predicting Ambiguous Emotion States.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Learning from Class-imbalanced Data with a Model-Agnostic Framework for Machine Intelligent Diagnosis.
Reliab. Eng. Syst. Saf., 2021

Multimodal Affect Models: An Investigation of Relative Salience of Audio and Visual Cues for Emotion Prediction.
Frontiers Comput. Sci., 2021

Machine Anomaly Detection under Changing Working Condition with Syncretic Self-Regression Auto-Encoder.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

2020
Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection.
IEEE Trans. Ind. Informatics, 2020

Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study.
CoRR, 2020

2019
The dendritic neuron model is a universal approximator.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

Dendritic Branches of DNM Help to Improve Approximation accuracy.
Proceedings of the 6th International Conference on Systems and Informatics, 2019


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