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 | 176 | 2019 |
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 | 174 | 2020 |
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 | 144 | 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 | 101 | 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 | 82 | 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 | 80 | 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 | 72 | 2022 |
Received-Signal-Strength Threshold Optimization Using Gaussian Processes F Yin, Y Zhao, F Gunnarsson, F Gustafsson IEEE Transactions on Signal Processing, 2016 | 69 | 2016 |
Two-class support vector data description G Huang, H Chen, Z Zhou, F Yin, K Guo Pattern Recognition 44 (2), 320-329, 2011 | 69 | 2011 |
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 | 65 | 2013 |
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 | 59 | 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 | 54 | 2017 |
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 | 52 | 2021 |
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 | 51 | 2017 |
Autonomous mobile robot navigation system designed in dynamic environment based on transferable belief model W Yaonan, Y Yimin, Y Xiaofang, Z Yi, Z Yuanli, Y Feng, T Lei Measurement 44 (8), 1389-1405, 2011 | 47 | 2011 |
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 | 45 | 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 | 38 | 2021 |
Bayesian cooperative localization using received signal strength with unknown path loss exponent: Message passing approaches D Jin, F Yin, C Fritsche, F Gustafsson, AM Zoubir IEEE Transactions on Signal Processing 68, 1120-1135, 2020 | 37 | 2020 |
Machine learning and wireless communications YC Eldar, A Goldsmith, D Gündüz, HV Poor Cambridge University Press, 2022 | 35 | 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 | 34 | 2020 |