| 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 | 249 | 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 | 194 | 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 | 71 | 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 | 68 | 2020 |
| 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 | 56 | 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 | 52 | 2017 |
| 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 | 41 | 2020 |
| A unified unsupervised gaussian mixture variational autoencoder for high dimensional outlier detection W Liao, Y Guo, X Chen, P Li 2018 IEEE International Conference on Big Data (Big Data), 1208-1217, 2018 | 38 | 2018 |
| 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 | 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 | 34 | 2020 |
| Machine-learning approaches for recognizing muscle activities involved in facial expressions captured by multi-channels surface electromyogram Y Cai, Y Guo, H Jiang, MC Huang Smart Health 5, 15-25, 2018 | 32 | 2018 |
| 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 | 20 | 2021 |
| Differentially private community detection in attributed social networks T Ji, C Luo, Y Guo, J Ji, W Liao, P Li Asian Conference on Machine Learning, 16-31, 2019 | 17 | 2019 |
| 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 | 14 | 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 | 13 | 2019 |
| Collusive Backdoor Attacks in Federated Learning Frameworks for IoT Systems S Alharbi, Y Guo, W Yu IEEE Internet of Things Journal, 2024 | 11 | 2024 |
| 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 | 10 | 2021 |
| 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 |
| Quantized adversarial training: An iterative quantized local search approach Y Guo, T Ji, Q Wang, L Yu, P Li 2019 IEEE International Conference on Data Mining (ICDM), 1066-1071, 2019 | 8 | 2019 |
| Blockchain-empowered federated learning through model and feature calibration Q Wang, W Liao, Y Guo, M McGuire, W Yu IEEE Internet of Things Journal, 2023 | 7 | 2023 |
