Lin Kong

Orcid: 0009-0000-7881-5654

According to our database1, Lin Kong authored at least 16 papers between 2019 and 2025.

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Bibliography

2025
Deep learning-based non-contrast MRI model for nasopharyngeal carcinoma diagnosis: an end-to-end gadolinium-free solution.
npj Digit. Medicine, 2025

Product carbon emissions estimation method in the early design stage based on multi-perspective similarity matching of design scenarios.
Adv. Eng. Informatics, 2025

2024
Preoperative esophageal cancer staging assessment based on intravoxel incoherent motion and apparent diffusion coefficient: a comparative study of maximum-diameter slice region of interest and whole volume of interest analysis.
BMC Bioinform., December, 2024

Improving Sign Gesture Recognition Using Bi-LSTM Attention Model with Optimal Point Cloud Frame Range.
Proceedings of the Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, 2024

2023
Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions.
Reliab. Eng. Syst. Saf., June, 2023

A Lifelong Learning Method Based on Generative Feature Replay for Bearing Diagnosis With Incremental Fault Types.
IEEE Trans. Instrum. Meas., 2023

2022
A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

A Lifelong Learning Method for Gearbox Diagnosis With Incremental Fault Types.
IEEE Trans. Instrum. Meas., 2022

HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Random Forest Based Adaptive DBSCAN for Reducing Noise in mmWave Radar Point Clouds.
Proceedings of the 21st 2022 International Conference on Cognitive Informatics & Cognitive Computing, 2022

2021
Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learned Interpretable Residual Extragradient ISTA for Sparse Coding.
CoRR, 2021

Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A New Sustainable Scheduling Method for Hybrid Flow-Shop Subject to the Characteristics of Parallel Machines.
IEEE Access, 2020

2019
Quasi-All-Passive Thermal Control System Design and On-Orbit Validation of Luojia 1-01 Satellite.
Sensors, 2019

A Stochastic Variance Reduced Extragradient Method for Sparse Machine Learning Problems.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019


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