Ruibing Jin

According to our database, Ruibing Jin authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FedCov: Enhanced Trustworthy Federated Learning for Machine RUL Prediction With Continuous-to-Discrete Conversion.

Chao Cai, Yuming Fang, Weide Liu, Ruibing Jin, Jun Cheng, Zhenghua Chen

IEEE Trans. Ind. Informatics, November, 2024

Reinforced Reweighting for Self-Supervised Partial Domain Adaptation.

Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen

IEEE Trans. Artif. Intell., September, 2024

LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis.

Wenjun Sun, Ruqiang Yan, Ruibing Jin, Jiawen Xu, Yuan Yang, Zhenghua Chen

IEEE Trans. Reliab., June, 2024

An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction.

Ruibing Jin, Duo Zhou, Min Wu, Xiaoli Li, Zhenghua Chen

IEEE Trans. Ind. Informatics, February, 2024

FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis.

Wenjun Sun, Ruqiang Yan, Ruibing Jin, Rui Zhao, Zhenghua Chen

IEEE Trans. Instrum. Meas., 2024

LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices.

Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu, Dan Li, Xiaoli Li, Zhenghua Chen

CoRR, 2024

K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data.

Yucheng Wang, Ruibing Jin, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

CoRR, 2024

2023

Reinforced Adaptation Network for Partial Domain Adaptation.

Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li

IEEE Trans. Circuits Syst. Video Technol., May, 2023

Unlimited Knowledge Distillation for Action Recognition in the Dark.

Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen

CoRR, 2023

2022

Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction.

Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiaoli Li, Ruqiang Yan

IEEE Trans. Instrum. Meas., 2022

Feature flow: In-network feature flow estimation for video object detection.

Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang, Fayao Liu

Pattern Recognit., 2022

Online Active Proposal Set Generation for weakly supervised object detection.

Ruibing Jin, Guosheng Lin, Changyun Wen

Knowl. Based Syst., 2022

Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction.

Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, Xiaoli Li

IEEE CAA J. Autom. Sinica, 2022

2020

Motion Context Network for Weakly Supervised Object Detection in Videos.

Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang

IEEE Signal Process. Lett., 2020

2019

Two-stream network for online quadrotor detection without dedicated annotations.

Ruibing Jin, Jianliang Wang

Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

2017

A framework based on deep learning and mathematical morphology for cabin door detection in an automated aerobridge docking system.

Ruibing Jin, Bojan Andonovski, Zhigang Tu, Jianliang Wang, Junsong Yuan, Desmond Mark Tham

Proceedings of the 11th Asian Control Conference, 2017

2016

A vision tracking system via color detection.

Ruibing Jin, Jianliang Wang

Proceedings of the 12th IEEE International Conference on Control and Automation, 2016