Chengyuan Sun
Orcid: 0000-0002-1321-3924
According to our database1,
Chengyuan Sun authored at least 17 papers
between 2017 and 2026.
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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
J. Frankl. Inst., November, 2023
A Hierarchical Quality-Related Fault Diagnosis Method for Nonlinear Industrial Systems.
IEEE Trans. Ind. Informatics, July, 2023
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