Mengxuan Li

Orcid: 0000-0001-7278-7891

Affiliations:
  • Zhejiang University, College of Computer Science and Technology, Hangzhou, China


According to our database1, Mengxuan Li authored at least 10 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
Class Incremental Fault Diagnosis Under Limited Fault Data via Supervised Contrastive Knowledge Distillation.
IEEE Trans. Ind. Informatics, June, 2025

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data.
CoRR, May, 2025

TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024
An Order-Invariant and Interpretable Dilated Convolution Neural Network for Chemical Process Fault Detection and Diagnosis.
IEEE Trans Autom. Sci. Eng., July, 2024

SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

2023
Hard Sample Mining Enabled Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis.
CoRR, 2023

An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis.
CoRR, 2023

SCLIFD: Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data.
CoRR, 2023

SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples.
CoRR, 2023

2022
Enabling Improved Learning Capability of Industrial Robots with Knowledge Graph Towards Intelligent Digital Twins.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022


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