| 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 | 107 | 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 | 41 | 2022 |
| 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 | 18 | 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 20 (2), 1093-1102, 2023 | 16 | 2023 |
| 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 | 16 | 2021 |
| 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 73 (2), 1258-1269, 2023 | 13 | 2023 |
| 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 | 12 | 2022 |
| 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 73, 1-12, 2023 | 10 | 2023 |
| 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 33 (5), 2370-2380, 2022 | 10 | 2022 |
| A vision tracking system via color detection R Jin, J Wang 2016 12th IEEE International Conference on Control and Automation (ICCA …, 2016 | 10 | 2016 |
| Online Active Proposal Set Generation for Weakly Supervised Object Detection R Jin, G Lin, C Wen Knowledge-Based Systems 237, 2022 | 9 | 2022 |
| 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 | 7 | 2024 |
| 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 | 6 | 2021 |
| 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 |
| LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices R Jin, Q Xu, M Wu, Y Xu, D Li, X Li, Z Chen arXiv preprint arXiv:2406.08765, 2024 | 3 | 2024 |
| 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 | 3 | 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 | 3 | 2020 |
| Fedcov: Enhanced trustworthy federated learning for machine rul prediction with continuous-to-discrete conversion C Cai, Y Fang, W Liu, R Jin, J Cheng, Z Chen IEEE Transactions on Industrial Informatics, 2024 | 1 | 2024 |
| 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 | 1 | 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 | 1 | 2022 |
ZHENGHUA CHENLab Head & PI at Institute for Infocomm Research (I2R), A*STAR, SingaporeПотвърден имейл адрес: ntu.edu.sg
