Ruibing Jin

25 papers A 1Journal 21Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
MsFormer: Enabling Robust Predictive Maintenance Services for Industrial Devices.
CoRR
Jiahui Zhou, Dan Li, Ruibing Jin, Jian Lou, Yanran Zhao, Zhenghua Chen, Zigui Jiang, See-Kiong Ng
2026 J jnl
Restoring missing gaps and intervals via global consistency and local coherence.
Expert Syst. Appl.
Richa Hu, Dan Li, Jian Lou, Ruibing Jin, Bingxin Lin, Wenzhong Li, See-Kiong Ng, Zibin Zheng
2025 J jnl
Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Yucheng Wang, Min Wu, Ruibing Jin, Xiaoli Li, Lihua Xie, Zhenghua Chen
2025 A conf
SimCast: Enhancing Precipitation Nowcasting with Short-to-Long Term Knowledge Distillation.
ICME
Yifang Yin, Shengkai Chen, Yiyao Li, Lu Wang, Ruibing Jin, Wei Cui, Shili Xiang
2025 J jnl
SimCast: Enhancing Precipitation Nowcasting with Short-to-Long Term Knowledge Distillation.
CoRR
Yifang Yin, Shengkai Chen, Yiyao Li, Lu Wang, Ruibing Jin, Wei Cui, Shili Xiang
2024 J jnl
An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics
Ruibing Jin, Duo Zhou, Min Wu, Xiaoli Li, Zhenghua Chen
2024 J jnl
Curriculum-Based Federated Learning for Machine Fault Diagnosis With Noisy Labels.
IEEE Trans. Ind. Informatics
Wenjun Sun, Ruqiang Yan, Ruibing Jin, Rui Zhao, Zhenghua Chen
2024 J jnl
FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Wenjun Sun, Ruqiang Yan, Ruibing Jin, Rui Zhao, Zhenghua Chen
2024 J jnl
FedCov: Enhanced Trustworthy Federated Learning for Machine RUL Prediction With Continuous-to-Discrete Conversion.
IEEE Trans. Ind. Informatics
Chao Cai, Yuming Fang, Weide Liu, Ruibing Jin, Jun Cheng, Zhenghua Chen
2024 J jnl
K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data.
CoRR
Yucheng Wang, Ruibing Jin, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen
2024 J jnl
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices.
CoRR
Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu, Dan Li, Xiaoli Li, Zhenghua Chen
2024 J jnl
LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis.
IEEE Trans. Reliab.
Wenjun Sun, Ruqiang Yan, Ruibing Jin, Jiawen Xu, Yuan Yang, Zhenghua Chen
2024 J jnl
Reinforced Reweighting for Self-Supervised Partial Domain Adaptation.
IEEE Trans. Artif. Intell.
Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen
2023 J jnl
Reinforced Adaptation Network for Partial Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol.
Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li
2023 J jnl
Unlimited Knowledge Distillation for Action Recognition in the Dark.
CoRR
Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen
2022 J jnl
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas.
Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiaoli Li, Ruqiang Yan
2022 J jnl
Feature flow: In-network feature flow estimation for video object detection.
Pattern Recognit.
Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang, Fayao Liu
2022 J jnl
Online Active Proposal Set Generation for weakly supervised object detection.
Knowl. Based Syst.
Ruibing Jin, Guosheng Lin, Changyun Wen
2022 J jnl
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction.
IEEE CAA J. Autom. Sinica
Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, Xiaoli Li
2021 J jnl
Online Active Proposal Set Generation for Weakly Supervised Object Detection.
CoRR
Ruibing Jin, Guosheng Lin, Changyun Wen
2020 J jnl
Feature Flow: In-network Feature Flow Estimation for Video Object Detection.
CoRR
Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang, Fayao Liu
2020 J jnl
Motion Context Network for Weakly Supervised Object Detection in Videos.
IEEE Signal Process. Lett.
Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang
2019 — conf
Two-stream network for online quadrotor detection without dedicated annotations.
ICCA
Ruibing Jin, Jianliang Wang
2017 — conf
A framework based on deep learning and mathematical morphology for cabin door detection in an automated aerobridge docking system.
ASCC
Ruibing Jin, Bojan Andonovski, Zhigang Tu, Jianliang Wang, Junsong Yuan, Desmond Mark Tham
2016 — conf
A vision tracking system via color detection.
ICCA
Ruibing Jin, Jianliang Wang