Feng YIN
Feng YIN
Chinese University of Hong Kong, Shenzhen
Verified email at
Cited by
Cited by
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
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
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
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
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
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
Received-Signal-Strength Threshold Optimization Using Gaussian Processes
F Yin, Y Zhao, F Gunnarsson, F Gustafsson
IEEE Transactions on Signal Processing, 2016
Two-class support vector data description
G Huang, H Chen, Z Zhou, F Yin, K Guo
Pattern Recognition 44 (2), 320-329, 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
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
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
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
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
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
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
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
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
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
Proximity report triggering threshold optimization for network-based indoor positioning
F Yin, Y Zhao, F Gunnarsson
2015 18th International Conference on Information Fusion (Fusion), 1061-1069, 2015
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, ...
arXiv preprint arXiv:2308.11339, 2023
The system can't perform the operation now. Try again later.
Articles 1–20