| FedLoc: Federated learning framework for data-driven cooperative localization and location data processing F Yin, Z Lin, Q Kong, Y Xu, D Li, S Theodoridis, SR Cui IEEE Open Journal of Signal Processing 1, 187-215, 2020 | 158* | 2020 |
| Graph neural network for large-scale network localization W Yan, D Jin, Z Lin, F Yin ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 34 | 2021 |
| Data-driven fault localization in distribution systems with distributed energy resources Z Lin, D Duan, Q Yang, X Hong, X Cheng, L Yang, S Cui Energies 13 (1), 275, 2020 | 11 | 2020 |
| One-class classifier based fault detection in distribution systems with varying penetration levels of distributed energy resources Z Lin, D Duan, Q Yang, X Hong, X Cheng, L Yang, S Cui IEEE Access 8, 130023-130035, 2020 | 10 | 2020 |
| An interpretable and sample efficient deep kernel for Gaussian process Y Dai, T Zhang, Z Lin, F Yin, S Theodoridis, S Cui Conference on Uncertainty in Artificial Intelligence (UAI), 759-768, 2020 | 7 | 2020 |
| Gaussian process regression with grid spectral mixture kernel: Distributed learning for multidimensional data Z Lin*, RC Suwandi*, Y Sun, Z Wang, L Cheng, F Yin 2022 25th International Conference on Information Fusion (FUSION), 1-8, 2022 | 6 | 2022 |
| Towards Flexibility and Interpretability of Gaussian Process State-Space Model Z Lin, F Yin, J Maroñas arXiv preprint arXiv:2301.08843, 2023 | 5 | 2023 |
| A flexible approach for human activity recognition based on broad learning system Z Lin, H Chen, Q Yang, X Hong Proceedings of the 2019 11th International Conference on Machine Learning …, 2019 | 5 | 2019 |
| Output-Dependent Gaussian Process State-Space Model Z Lin, L Cheng, F Yin, L Xu, S Cui ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| One-class classifier based fault detection in distribution systems with distributed energy resources Z Lin, D Duan, Q Yang, X Cheng, L Yang, S Cui IEEE Global Conference on Signal and Information Processing (GlobalSIP), 932-936, 2018 | 4 | 2018 |
| Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models Z Lin, J Maroñas, Y Li, F Yin, S Theodoridis ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 2 | 2024 |
| Regularization-Based Efficient Continual Learning in Deep State-Space Models Y Zhang, Z Lin, Y Sun, F Yin, C Fritsche arXiv preprint arXiv:2403.10123, 2024 | 1 | 2024 |
| Achieving Privacy-Preserving Diagnosis with Federated Learning in LEO Satellite Constellation Q Kong, Z Lin, F Yin, L Xu, X Cheng, S Cui, X Ye Proceedings of the 10th International Conference on Signal and Information …, 2023 | 1 | 2023 |
| Adaptive Gaussian Process Spectral Kernel Learning for 5G Wireless Traffic Prediction X Zhang, C Zhao, Y Yang, Z Lin, J Wang, F Yin IEEE 32nd Int. Workshop Mach. Learn. Signal Process. (MLSP), 1-6, 2022 | 1 | 2022 |
| Online MEM Based Binary Classification Algorithm for China Mobile Imbalanced Dataset S Lin, F Yin, Z Lin, Y Lin, SR Cui, T Li, F Yu, W Yu, X Hong, J Shi, ZQT Luo IEEE/CIC International Conference on Communications in China (ICCC), 68-73, 2018 | 1 | 2018 |
| Online/Offline Learning to Enable Robust Beamforming: Limited Feedback Meets Deep Generative Models Y Li, Z Lin, K Li, MM Zhang arXiv preprint arXiv:2404.06055, 2024 | | 2024 |
| Preventing Model Collapse in Gaussian Process Latent Variable Models Y Li*, Z Lin*, F Yin, MM Zhang arXiv preprint arXiv:2404.01697, 2024 | | 2024 |
| Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference Z Lin, Y Sun, F Yin, A Thiéry arXiv preprint arXiv:2312.05910, 2023 | | 2023 |
| Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel RC Suwandi*, Z Lin*, F Yin, Z Wang, S Theodoridis arXiv preprint arXiv:2309.08201, 2023 | | 2023 |
Feng YINChinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
