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ORCIDRuibing Jin
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Publications
- 2025
[j13]Yucheng Wang
, Min Wu, Ruibing Jin, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction. IEEE Trans. Neural Networks Learn. Syst. 36(1): 753-766 (2025)- 2024
- [j12]Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen:
Reinforced Reweighting for Self-Supervised Partial Domain Adaptation. IEEE Trans. Artif. Intell. 5(9): 4813-4822 (2024) - [j11]Ruibing Jin, Duo Zhou, Min Wu, Xiaoli Li, Zhenghua Chen:
An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 20(2): 1093-1102 (2024) - [j10]Chao Cai, Yuming Fang, Weide Liu, Ruibing Jin, Jun Cheng, Zhenghua Chen:
FedCov: Enhanced Trustworthy Federated Learning for Machine RUL Prediction With Continuous-to-Discrete Conversion. IEEE Trans. Ind. Informatics 20(11): 12565-12574 (2024) - [j9]Wenjun Sun, Ruqiang Yan, Ruibing Jin, Rui Zhao, Zhenghua Chen:
Curriculum-Based Federated Learning for Machine Fault Diagnosis With Noisy Labels. IEEE Trans. Ind. Informatics 20(12): 13820-13830 (2024) - [j8]Wenjun Sun, Ruqiang Yan, Ruibing Jin, Rui Zhao, Zhenghua Chen:
FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j7]Wenjun Sun, Ruqiang Yan, Ruibing Jin, Jiawen Xu, Yuan Yang, Zhenghua Chen:
LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis. IEEE Trans. Reliab. 73(2): 1258-1269 (2024) - [i5]Yucheng Wang, Ruibing Jin, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data. CoRR abs/2403.03645 (2024) - [i4]Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu, Dan Li, Xiaoli Li, Zhenghua Chen:
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices. CoRR abs/2406.08765 (2024) - 2023
- [j6]Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li:
Reinforced Adaptation Network for Partial Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2370-2380 (2023) - [i3]Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen:
Unlimited Knowledge Distillation for Action Recognition in the Dark. CoRR abs/2308.09327 (2023) - 2022
- [j5]Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, Xiaoli Li:
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction. IEEE CAA J. Autom. Sinica 9(8): 1427-1439 (2022) - [j2]Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiaoli Li, Ruqiang Yan:
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. 71: 1-10 (2022)
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