A vision tracking system via color detection. - Ruibing Jin; Jianliang Wang (ICCA, 2016)

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 001; Jianliang Wang; Junsong Yuan 001; Desmond Mark Tham (ASCC, 2017)

Two-stream network for online quadrotor detection without dedicated annotations. - Ruibing Jin; Jianliang Wang (ICCA, 2019)

Motion Context Network for Weakly Supervised Object Detection in Videos. - Ruibing Jin; Guosheng Lin; Changyun Wen; Jianliang Wang (IEEE Signal Process. Lett., 2020)

Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction. - Ruibing Jin; Min Wu 008; Keyu Wu 002; Kaizhou Gao; Zhenghua Chen; Xiaoli Li 001 (IEEE CAA J. Autom. Sinica, 2022)

Online Active Proposal Set Generation for weakly supervised object detection. - Ruibing Jin; Guosheng Lin; Changyun Wen (Knowl. Based Syst., 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)

Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction. - Ruibing Jin; Zhenghua Chen; Keyu Wu 002; Min Wu 008; Xiaoli Li 001; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2022)

Unlimited Knowledge Distillation for Action Recognition in the Dark. - Ruibing Jin; Guosheng Lin; Min Wu 008; Jie Lin 001; Zhengguo Li; Xiaoli Li 001; Zhenghua Chen (CoRR, 2023)

Reinforced Adaptation Network for Partial Domain Adaptation. - Keyu Wu 002; Min Wu 008; Zhenghua Chen; Ruibing Jin; Wei Cui 002; Zhiguang Cao; Xiaoli Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data. - Yucheng Wang 001; Ruibing Jin; Min Wu 008; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (CoRR, 2024)

LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices. - Ruibing Jin; Qing Xu 015; Min Wu 008; Yuecong Xu; Dan Li; Xiaoli Li 001; Zhenghua Chen (CoRR, 2024)

FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis. - Wenjun Sun; Ruqiang Yan 001; Ruibing Jin; Rui Zhao 004; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2024)

An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction. - Ruibing Jin; Duo Zhou; Min Wu 008; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Ind. Informatics, 2024)

LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis. - Wenjun Sun; Ruqiang Yan 001; Ruibing Jin; Jiawen Xu; Yuan Yang; Zhenghua Chen (IEEE Trans. Reliab., 2024)

Reinforced Reweighting for Self-Supervised Partial Domain Adaptation. - Keyu Wu 002; Shengkai Chen; Min Wu 008; Shili Xiang; Ruibing Jin; Yuecong Xu; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Artif. Intell., 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 003; Zhenghua Chen (IEEE Trans. Ind. Informatics, 2024)

Curriculum-Based Federated Learning for Machine Fault Diagnosis With Noisy Labels. - Wenjun Sun; Ruqiang Yan 001; Ruibing Jin; Rui Zhao 004; Zhenghua Chen (IEEE Trans. Ind. Informatics, 2024)

Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction. - Yucheng Wang 001; Min Wu 008; Ruibing Jin; Xiaoli Li 001; Lihua Xie 001; Zhenghua Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)