| 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 | 197 | 2020 |
| Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification Y Xu, F Yin, W Xu, J Lin, S Cui IEEE Journal on Selected Areas in Communications 37 (6), 1291-1306, 2019 | 187 | 2019 |
| TOA-based robust wireless geolocation and Cramér-Rao lower bound analysis in harsh LOS/NLOS environments F Yin, C Fritsche, F Gustafsson, AM Zoubir IEEE transactions on signal processing 61 (9), 2243-2255, 2013 | 148 | 2013 |
| Cooperative localization in WSNs using Gaussian mixture modeling: Distributed ECM algorithms F Yin, C Fritsche, D Jin, F Gustafsson, AM Zoubir IEEE Transactions on Signal Processing 63 (6), 1448-1463, 2015 | 106 | 2015 |
| Rethinking Bayesian learning for data analysis: The art of prior and inference in sparsity-aware modeling L Cheng, F Yin, S Theodoridis, S Chatzis, TH Chang IEEE Signal Processing Magazine 39 (6), 18-52, 2022 | 91 | 2022 |
| Privacy-preserving aggregation for federated learning-based navigation in vehicular fog Q Kong, F Yin, R Lu, B Li, X Wang, S Cui, P Zhang IEEE Transactions on Industrial Informatics 17 (12), 8453-8463, 2021 | 88 | 2021 |
| Recent advances in data-driven wireless communication using gaussian processes: a comprehensive survey K Chen, Q Kong, Y Dai, Y Xu, F Yin, L Xu, S Cui China Communications 19 (1), 218-237, 2022 | 77 | 2022 |
| Two-class support vector data description G Huang, H Chen, Z Zhou, F Yin, K Guo Pattern Recognition 44 (2), 320-329, 2011 | 71 | 2011 |
| Received-Signal-Strength Threshold Optimization Using Gaussian Processes F Yin, Y Zhao, F Gunnarsson, F Gustafsson IEEE Transactions on Signal Processing, 2016 | 69 | 2016 |
| EM-and JMAP-ML based joint estimation algorithms for robust wireless geolocation in mixed LOS/NLOS environments F Yin, C Fritsche, F Gustafsson, AM Zoubir IEEE Transactions on Signal Processing 62 (1), 168-182, 2013 | 68 | 2013 |
| Blockchain-based privacy-preserving driver monitoring for MaaS in the vehicular IoT Q Kong, R Lu, F Yin, S Cui IEEE Transactions on Vehicular Technology 70 (4), 3788-3799, 2021 | 62 | 2021 |
| MetaLoc: Learning to learn wireless localization J Gao, D Wu, F Yin, Q Kong, L Xu, S Cui IEEE Journal on Selected Areas in Communications, 2023 | 61 | 2023 |
| Scalable learning paradigms for data-driven wireless communication Y Xu, F Yin, W Xu, CH Lee, J Lin, S Cui IEEE Communications Magazine 58 (10), 81-87, 2020 | 60 | 2020 |
| Distributed recursive Gaussian processes for RSS map applied to target tracking F Yin, F Gunnarsson IEEE Journal of Selected Topics in Signal Processing 11 (3), 492-503, 2017 | 57 | 2017 |
| High-accuracy wireless traffic prediction: A GP-based machine learning approach Y Xu, W Xu, F Yin, J Lin, S Cui GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 55 | 2017 |
| Exploring large language model based intelligent agents: Definitions, methods, and prospects Y Cheng, C Zhang, Z Zhang, X Meng, S Hong, W Li, Z Wang, Z Wang, ... arXiv preprint arXiv:2401.03428, 2024 | 42 | 2024 |
| Proagent: Building proactive cooperative ai with large language models C Zhang, K Yang, S Hu, Z Wang, G Li, Y Sun, C Zhang, Z Zhang, A Liu, ... CoRR, 2023 | 42 | 2023 |
| 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 | 41 | 2021 |
| Machine learning and wireless communications YC Eldar, A Goldsmith, D Gündüz, HV Poor Cambridge University Press, 2022 | 40 | 2022 |
| Privacy-preserving continuous data collection for predictive maintenance in vehicular fog-cloud Q Kong, R Lu, F Yin, S Cui IEEE Transactions on Intelligent Transportation Systems 22 (8), 5060-5070, 2020 | 40 | 2020 |
Abdelhak M. ZoubirProfessor of Signal Processing, Technische Universität DarmstadtEmail verificata su spg.tu-darmstadt.de