| 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 | 149 | 2020 |
| A privacy-preserving sensory data sharing scheme in Internet of Vehicles Q Kong, R Lu, M Ma, H Bao Future Generation Computer Systems 92, 644-655, 2019 | 79 | 2019 |
| 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 | 69 | 2021 |
| Achieving privacy-preserving and verifiable data sharing in vehicular fog with blockchain Q Kong, L Su, M Ma IEEE Transactions on Intelligent Transportation Systems 22 (8), 4889-4898, 2020 | 53 | 2020 |
| 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 | 47 | 2021 |
| Achieve secure handover session key management via mobile relay in LTE-advanced networks Q Kong, R Lu, S Chen, H Zhu IEEE internet of things journal 4 (1), 29-39, 2016 | 45 | 2016 |
| A privacy-preserving and verifiable querying scheme in vehicular fog data dissemination Q Kong, R Lu, M Ma, H Bao IEEE Transactions on Vehicular Technology 68 (2), 1877-1887, 2018 | 44 | 2018 |
| 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 | 35 | 2022 |
| 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 | 31 | 2023 |
| 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 | 29 | 2020 |
| A secure and privacy-preserving incentive framework for vehicular cloud on the road Q Kong, R Lu, H Zhu, A Alamer, X Lin 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 21 | 2016 |
| Achieve location privacy-preserving range query in vehicular sensing Q Kong, R Lu, M Ma, H Bao Sensors 17 (8), 1829, 2017 | 20 | 2017 |
| FS-IDS: a novel few-shot learning based intrusion detection system for scada networks Y Ouyang, B Li, Q Kong, H Song, T Li ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 12 | 2021 |
| Metaloc: Learning to learn indoor rss fingerprinting localization over multiple scenarios J Gao, C Zhang, Q Kong, F Yin, L Xu, K Niu ICC 2022-IEEE International Conference on Communications, 3232-3237, 2022 | 11 | 2022 |
| Anti-honeypot enabled optimal attack strategy for industrial cyber-physical systems B Li, Y Xiao, Y Shi, Q Kong, Y Wu, H Bao IEEE Open Journal of the Computer Society 1, 250-261, 2020 | 11 | 2020 |
| Achieving secure and privacy-preserving incentive in vehicular cloud advertisement dissemination Q Kong, R Lu, H Zhu, M Ma IEEE Access 6, 25040-25050, 2018 | 11 | 2018 |
| Incentive-Based Federated Learning for Digital Twin Driven Industrial Mobile Crowdsensing B Li, Y Shi, Q Kong, Q Du, R Lu IEEE Internet of Things Journal, 2023 | 10 | 2023 |
| Achieving efficient and secure handover in LEO constellation-assisted beyond 5G networks Q Kong, R Lu, F Yin IEEE Open Journal of the Communications Society 3, 641-653, 2021 | 9 | 2021 |
| BBNP: a blockchain-based novel paradigm for fair and secure smart grid communications H Bao, B Ren, B Li, Q Kong IEEE Internet of Things Journal 9 (15), 12984-12996, 2021 | 9 | 2021 |
| SOCDet: A lightweight and accurate oriented object detection network for satellite on-orbit computing Y Pang, Y Zhang, Q Kong, Y Wang, B Chen, X Cao IEEE Transactions on Geoscience and Remote Sensing, 2023 | 6 | 2023 |
