Channel state information prediction for 5G wireless communications: A deep learning approach C Luo, J Ji, Q Wang, X Chen, P Li IEEE transactions on network science and engineering 7 (1), 227-236, 2018 | 417 | 2018 |
Earthquake prediction based on spatio-temporal data mining: an LSTM network approach Q Wang, Y Guo, L Yu, P Li IEEE Transactions on Emerging Topics in Computing 8 (1), 148-158, 2017 | 195 | 2017 |
Multidimensional time series anomaly detection: A gru-based gaussian mixture variational autoencoder approach Y Guo, W Liao, Q Wang, L Yu, T Ji, P Li Asian Conference on Machine Learning, 97-112, 2018 | 153 | 2018 |
AI at the edge: Blockchain-empowered secure multiparty learning with heterogeneous models Q Wang, Y Guo, X Wang, T Ji, L Yu, P Li IEEE Internet of Things Journal 7 (10), 9600-9610, 2020 | 57 | 2020 |
Unsupervised anomaly detection in IoT systems for smart cities Y Guo, T Ji, Q Wang, L Yu, G Min, P Li IEEE Transactions on Network Science and Engineering 7 (4), 2231-2242, 2020 | 53 | 2020 |
Spectrum availability prediction in cognitive aerospace communications: A deep learning perspective L Yu, Q Wang, Y Guo, P Li 2017 Cognitive Communications for Aerospace Applications Workshop (CCAA), 1-4, 2017 | 44 | 2017 |
STEP: A spatio-temporal fine-granular user traffic prediction system for cellular networks L Yu, M Li, W Jin, Y Guo, Q Wang, F Yan, P Li IEEE Transactions on Mobile Computing 20 (12), 3453-3466, 2020 | 41 | 2020 |
Online power control for 5G wireless communications: A deep Q-network approach C Luo, J Ji, Q Wang, L Yu, P Li 2018 IEEE International Conference on Communications (ICC), 1-6, 2018 | 39 | 2018 |
TrafficChain: A blockchain-based secure and privacy-preserving traffic map Q Wang, T Ji, Y Guo, L Yu, X Chen, P Li Ieee Access 8, 60598-60612, 2020 | 35 | 2020 |
Community detection in online social networks: A differentially private and parsimonious approach T Ji, C Luo, Y Guo, Q Wang, L Yu, P Li IEEE transactions on computational social systems 7 (1), 151-163, 2020 | 28 | 2020 |
Learning to Learn Gradient Aggregation by Gradient Descent. J Ji, X Chen, Q Wang, L Yu, P Li IJCAI, 2614-2620, 2019 | 28 | 2019 |
Spectrum availability prediction for cognitive radio communications: A DCG approach L Yu, Y Guo, Q Wang, C Luo, M Li, W Liao, P Li IEEE Transactions on Cognitive Communications and Networking 6 (2), 476-485, 2020 | 26 | 2020 |
Energy-efficient computation offloading in mobile edge computing systems with uncertainties T Ji, C Luo, L Yu, Q Wang, S Chen, A Thapa, P Li IEEE Transactions on Wireless Communications 21 (8), 5717-5729, 2022 | 21 | 2022 |
Resisting distributed backdoor attacks in federated learning: A dynamic norm clipping approach Y Guo, Q Wang, T Ji, X Wang, P Li 2021 IEEE International Conference on Big Data (Big Data), 1172-1182, 2021 | 13 | 2021 |
Deep Q-Network-Based Feature Selection for Multisourced Data Cleaning Q Wang, Y Guo, L Yu, X Chen, P Li IEEE Internet of Things Journal 8 (21), 16153-16164, 2020 | 13 | 2020 |
Perrnn: Personalized recurrent neural networks for acceleration-based human activity recognition X Wang, W Liao, Y Guo, L Yu, Q Wang, M Pan, P Li ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 12 | 2019 |
Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology A Falayi, Q Wang, W Liao, W Yu Future Internet 15 (5), 178, 2023 | 11 | 2023 |
A fairness-aware peer-to-peer decentralized learning framework with heterogeneous devices Z Chen, W Liao, P Tian, Q Wang, W Yu Future Internet 14 (5), 138, 2022 | 9 | 2022 |
Toward combatting COVID-19: A risk assessment system Q Wang, Y Guo, T Ji, X Wang, B Hu, P Li IEEE Internet of Things Journal 8 (21), 15953-15964, 2021 | 9 | 2021 |
Economy: Point clouds-based energy-efficient autonomous navigation for UAVs T Ji, Y Guo, Q Wang, X Wang, P Li IEEE Transactions on Network Science and Engineering 8 (4), 2885-2896, 2021 | 7 | 2021 |