Chengyuan Sun

Orcid: 0000-0002-1321-3924

According to our database1, Chengyuan Sun authored at least 17 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
An advanced data-driven method for nonlinear no-Gaussian quality-oriented fault diagnosis.
J. Frankl. Inst., 2026

A Quality-Related Incipient Fault Detection and Location for Industrial IoT With Incomplete Data.
IEEE Internet Things J., 2026

Identification and bioinformatics analysis of a novel member of the lumbrokinase gene family in earthworms.
Frontiers Bioinform., 2026

Design and Implementation of a Scalable 64 p-bits Ising Computing Chip with Integrated SOT-MTJs for Efficient Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

2025
Open-set recognition of specific emitter based on complex-valued convolutional neural network.
IET Commun., 2025

An Adaptive Sparse Matrix Compression CIM Accelerator based on 256Kb SOT-MRAM for Downlink Massive MIMO Communications.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

2024
A Quality-Relevant Fault Diagnosis Scheme Aided by Enhanced Dynamic Just-in-Time Learning for Nonlinear Industrial Systems.
IEEE Trans. Ind. Informatics, May, 2024

Process optimization and cryogenic evaluation of spin-orbit torque magnetic random access memory.
Proceedings of the IEEE International Memory Workshop, 2024

2023
An adaptive subspace data-driven method for nonlinear dynamic systems.
J. Frankl. Inst., November, 2023

A Hierarchical Quality-Related Fault Diagnosis Method for Nonlinear Industrial Systems.
IEEE Trans. Ind. Informatics, July, 2023

A Stacking Learning Data-Driven Method for Nonlinear KPI-Related Fault Detection.
IEEE Trans. Circuits Syst. II Express Briefs, June, 2023

Generative Adversarial Networks Based on Contrastive Learning for Sequential Recommendation.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022
A Quality-Related Fault Detection Method Based on the Dynamic Data-Driven Algorithm for Industrial Systems.
IEEE Trans Autom. Sci. Eng., 2022

A distributed principal component regression method for quality-related fault detection and diagnosis.
Inf. Sci., 2022

An enhanced kernel learning data-driven method for multiple fault detection and identification in industrial systems.
Inf. Sci., 2022

2018
Least Squares and Contribution Plot Based Approach for Quality-Related Process Monitoring.
IEEE Access, 2018

2017
An Improved Principal Component Regression for Quality-Related Process Monitoring of Industrial Control Systems.
IEEE Access, 2017


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