| 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 | 202 | 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 | 157 | 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 | 60 | 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 | 54 | 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 | 45 | 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 | 41 | 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 | 36 | 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 | 29 | 2020 |
| Learning to Learn Gradient Aggregation by Gradient Descent. J Ji, X Chen, Q Wang, L Yu, P Li IJCAI, 2614-2620, 2019 | 29 | 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 | 27 | 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 | 26 | 2022 |
| Cross-domain sentiment classification via a bifurcated-LSTM J Ji, C Luo, X Chen, L Yu, P Li Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 24 | 2018 |
| Securenets: Secure inference of deep neural networks on an untrusted cloud X Chen, J Ji, L Yu, C Luo, P Li Asian Conference on Machine Learning, 646-661, 2018 | 16 | 2018 |
| 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 |
| 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 | 7 | 2019 |
| Smart communications in heterogeneous spacecraft networks: A blockchain based secure auction approach L Yu, J Ji, Y Guo, Q Wang, T Ji, P Li 2019 IEEE Cognitive Communications for Aerospace Applications Workshop …, 2019 | 5 | 2019 |
| Weak signal detection in 5G+ systems: A distributed deep learning framework Y Guo, L Yu, Q Wang, T Ji, Y Fang, J Wei-Kocsis, P Li Proceedings of the Twenty-second International Symposium on Theory …, 2021 | 2 | 2021 |
| Efficient Federated Learning with Channel Status Awareness and Devices' Personal Touch L Yu, T Ji IEEE Transactions on Mobile Computing, 2024 | | 2024 |
