代表性成果：
- Peng, P., Wu, W.*, Lin, W., Zhang, F. (2024) Reliable Task Offloading in Sustainable Edge Computing With Imperfect Channel State Information. IEEE Transactions on Network and Service Management (TNSM). Vol. 21, no. 6, pp. 6423-6436. [JCR-Q1, IF 4.7]
- Peng, P., Lin, W., Wu, W.*, Zhang, H., Peng, S., Wu, Q., & Li, K. (2024) A survey on Computation Offloading in Edge Systems: from the Perspective of Deep Reinforcement Learning Approaches. Computer Science Review. Vol. 53, num. 100656 [JCR-Q1, IF 12.9]
- Lin, S., Lin, W. Wu, W., Chen H., Yang. J. (2024). SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters. The 41th International Conference on Machine Learning (ICML'24), Vienna, Austria. [CCF-A, oral]
- Lin, W., Wang, S., Wu, W.*, Li, D., & Zomaya, A. (2023) HybridAD: A Hybrid Model-driven Anomaly Detection Approach for Multivariate Time Series. IEEE Transactions on Emerging Topics in Computational Intelligence. Vol.8, no.1, pp.866-878. DOI: 10.1109/TETCI.2023.3290027. [JCR-Q2, IF 5.3]
- Wu, W., He, L.*, Lin, W.*, & Maple, C. (2023) FedProf: Selective Federated Learning based on Distributional Representation Profiling. IEEE Transactions on Parallel and Distributed Systems (TPDS). Vol. 34, no. 6, pp. 1942-1953. DOI: 10.1109/TPDS.2023.3265588. [CCF-A, JCR-Q1, IF 5.3]
- Lin, W., Xiong, C.*, Wu, W.*, Shi, F., Li, K., & Xu, M. (2022). Performance Interference of Virtual Machines: A Survey. ACM Computing Surveys. Vol. 55, no. 12, pp. 1-37 [JCR-Q1, IF 16.6]
- Wu, W., He, L.*, Lin, W., & Mao, R. (Jul, 2021) Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems. IEEE Transactions on Parallel and Distributed Systems (TPDS). vol. 32, no.7, pp. 1539-1551. [CCF-A, JCR-Q1, IF 5.3]
- Wu, W., He, L.*, Lin, W., Mao, R., & Jarvis, S. (Jun, 2021). SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead. IEEE Transactions on Computers (TC). vol. 70, no.5, pp. 655-668. [CCF-A, JCR-Q2, IF 3.7, IEEE ComSoc 2021 Best Paper Award Runner-up，ESI高被引]
- Wu, W., He, L.*, Lin, W. et al. (Sep, 2022). Developing an Unsupervised Real-time Anomaly Detection Scheme for Time Series with Multi-seasonality. IEEE Transactions on Knowledge and Data Engineering (TKDE). Vol. 34, no. 9, pp. 4147-4160. [CCF-A, JCR-Q1, IF 8.9]
- Wu, W., Lin, W.*, He, L., Wu, G., & Hsu, C. (Apr, 2021). A Power Consumption Model for Cloud Servers Based on Elman Neural Network. IEEE Transactions on Cloud Computing (TCC). Vol. 9, no. 4, pp. 1268-1277. [JCR-Q1, IF 6.5]
- Lin, W., Wu, W.*, & He, L.(Mar, 2022). An On-line Virtual Machine Consolidation Strategy for Dual Improvement in Performance and Energy Conservation of Server Clusters in Cloud Data Centers. IEEE Transactions on Services Computing (TSC). Vol. 15, no. 2, pp. 766-777. [CCF-A, JCR-Q1, IF 8.1]
学术成果详情可访问我的主页（https://wingter562.github.io/wentai_homepage/）和Google Scholar主页。