Lin Kong

According to our database, Lin Kong authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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

Lin Kong, Yanyan Nie, Liming Wang, Fangyi Li, Lirong Zhou, Geng Wang, Haiyang Lu, Xingyuan Xiao, Weitong Liu, Yan Ma

Adv. Eng. Informatics, 2025

2024

Improving Sign Gesture Recognition Using Bi-LSTM Attention Model with Optimal Point Cloud Frame Range.

Anocky Eric Rene Raymond Kouassi, Yanbo Ma, Lin Kong, Runhe Huang

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.

Qi Li, Liang Chen, Lin Kong, Dong Wang, Min Xia, Changqing Shen

Reliab. Eng. Syst. Saf., June, 2023

A Lifelong Learning Method Based on Generative Feature Replay for Bearing Diagnosis With Incremental Fault Types.

Yao Liu, Bojian Chen, Dong Wang, Lin Kong, Juanjuan Shi, Changqing Shen

IEEE Trans. Instrum. Meas., 2023

2022

A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis.

Jingde Li, Changqing Shen, Lin Kong, Dong Wang, Min Xia, Zhongkui Zhu

IEEE Trans. Instrum. Meas., 2022

A Lifelong Learning Method for Gearbox Diagnosis With Incremental Fault Types.

Bojian Chen, Changqing Shen, Dong Wang, Lin Kong, Liang Chen, Zhongkui Zhu

IEEE Trans. Instrum. Meas., 2022

HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks.

Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Random Forest Based Adaptive DBSCAN for Reducing Noise in mmWave Radar Point Clouds.

Houpu Zhou, Guochen Zhang, Lin Kong, Runhe Huang

Proceedings of the 21st 2022 International Conference on Cognitive Informatics & Cognitive Computing, 2022

2021

Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning.

Yuanyuan Liu, Fanhua Shang, Hongying Liu, Lin Kong, Licheng Jiao, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learned Interpretable Residual Extragradient ISTA for Sparse Coding.

Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu

CoRR, 2021

Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding.

Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin

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.

Lin Kong, Liming Wang, Fangyi Li, Geng Wang, Yan Fu, Jing Liu

IEEE Access, 2020

2019

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

Lin Yang, Qiang Li, Lin Kong, Song Gu, Lei Zhang

Sensors, 2019

A Stochastic Variance Reduced Extragradient Method for Sparse Machine Learning Problems.

Lin Kong, Xiaying Bai, Yang Hu, Fanhua Shang, Yuanyuan Liu, Hongying Liu

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019