| Bi-LSTM-based two-stream network for machine remaining useful life prediction R Jin, Z Chen, K Wu, M Wu, X Li, R Yan IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2022 | 65 | 2022 |
| Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction J Ruibing, W Min, W Keyu, G Kaizhou, C Zhenghua, L Xiaoli IEEE/CAA Journal of Automatica Sinica 9 (8), 1427–1439, 2022 | 26 | 2022 |
| Automatic detection of retinopathy with optical coherence tomography images via a semi-supervised deep learning method Y Luo, Q Xu, R Jin, M Wu, L Liu Biomedical Optics Express 12 (5), 2684-2702, 2021 | 11 | 2021 |
| Feature flow: In-network feature flow estimation for video object detection R Jin, G Lin, C Wen, J Wang, F Liu Pattern Recognition 122, 108323, 2022 | 9 | 2022 |
| A vision tracking system via color detection R Jin, J Wang 2016 12th IEEE International Conference on Control and Automation (ICCA …, 2016 | 9 | 2016 |
| Online Active Proposal Set Generation for Weakly Supervised Object Detection R Jin, G Lin, C Wen Knowledge-Based Systems 237, 2022 | 8 | 2022 |
| Imaging sebaceous gland using optical coherence tomography with deep learning assisted automatic identification Y Luo, X Wang, X Yu, R Jin, L Liu Journal of Biophotonics 14 (6), e202100015, 2021 | 5 | 2021 |
| Local–Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction Y Wang, M Wu, R Jin, X Li, L Xie, Z Chen IEEE Transactions on Neural Networks and Learning Systems, 2023 | 4 | 2023 |
| An adaptive and dynamical neural network for machine remaining useful life prediction R Jin, D Zhou, M Wu, X Li, Z Chen IEEE Transactions on Industrial Informatics, 2023 | 4 | 2023 |
| A framework based on deep learning and mathematical morphology for cabin door detection in an automated aerobridge docking system R Jin, B Andonovski, Z Tu, J Wang, J Yuan, DM Tham 2017 11th Asian Control Conference (ASCC), 1666-1671, 2017 | 4 | 2017 |
| Reinforced adaptation network for partial domain adaptation K Wu, M Wu, Z Chen, R Jin, W Cui, Z Cao, X Li IEEE Transactions on Circuits and Systems for Video Technology, 2022 | 3 | 2022 |
| LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis W Sun, R Yan, R Jin, J Xu, Y Yang, Z Chen IEEE Transactions on Reliability, 2023 | 1 | 2023 |
| Multi-feature fused bidirectional long short-term memory for remaining useful life prediction R Jin, Z Chen, K Wu, M Wu, X Li, R Yan 2021 International Conference on Sensing, Measurement & Data Analytics in …, 2021 | 1 | 2021 |
| Motion Context Network for Weakly Supervised Object Detection in Videos R Jin, G Lin, C Wen, J Wang IEEE Signal Processing Letters 27, 1864 - 1868, 2020 | 1 | 2020 |
| K-Link: Knowledge-Link Graph from LLMs for Enhanced Representation Learning in Multivariate Time-Series Data Y Wang, R Jin, M Wu, X Li, L Xie, Z Chen arXiv preprint arXiv:2403.03645, 2024 | | 2024 |
| FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis W Sun, R Yan, R Jin, R Zhao, Z Chen IEEE Transactions on Instrumentation and Measurement, 2023 | | 2023 |
| Unlimited Knowledge Distillation for Action Recognition in the Dark R Jin, G Lin, M Wu, J Lin, Z Li, X Li, Z Chen arXiv preprint arXiv:2308.09327, 2023 | | 2023 |
| Multi-task Self-Supervised Adaptation for Reinforcement Learning K Wu, Z Chen, M Wu, S Xiang, R Jin, L Zhang, X Li 2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA …, 2022 | | 2022 |
| Deep neural networks based visual object detection in videos R Jin Nanyang Technological University, 2020 | | 2020 |
| Two-stream network for online quadrotor detection without dedicated annotations R Jin, J Wang 2019 IEEE 15th International Conference on Control and Automation (ICCA …, 2019 | | 2019 |
ZHENGHUA CHENLab Head & PI at Institute for Infocomm Research (I2R), A*STAR, SingaporeVerified email at ntu.edu.sg
