吴桐

助理教授

浙江工商大学 计算机学院

Data Offloading , Opportunistic Mobile Network , Incentive Mechanisms

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动态   NEWS

学术   ACADEMIC

代表性论文:

1.Xu, Y., Liu, D., Wu, T., Lin, J. and Chen, Y., 2025. AMSP-Net: Adaptive Multi-Scale Patch Network for Long Time-Series Forecasting. Knowledge-Based Systems, p.115083.

    2.Zheng L, Liu D, Wu T, Chen Y. STWWgram-ODCBAM: Multimodal feature fusion and dynamic attention mechanism for anomalous sound detection. Signal Processing. 2025 Aug 5:110218.

    3.Lin J, Liu D, Wu T, Xu Y, Chen Y. TSINet: A Temporal-Channel Factorized Mixing and Spectral Enhanced Interactive Network for Time Series Forecasting. Information Sciences. 2025 Jun 20:122440.

    4.Li S, Yu D, Chen X, Fan X, Luo D, Wu T, Yan W. Generative API Recommendation Based on Global Semantics and Local Context. International Journal of Software Engineering and Knowledge Engineering. 2025 May 16.

    5.T. Wu, D. Yu, C. Liu, D. Wang and B. Huang, "Recommendation-Enabled Edge Caching and D2D Offloading Via Incentive-Driven Deep Reinforcement Learning," in IEEE Transactions on Services Computing, doi: 10.1109/TSC.2024.3351219.

    6.D. Yu, T. Wu, C. Liu and D. Wang, "Joint Content Caching and Recommendation in Opportunistic Mobile Networks through Deep Reinforcement Learning and Broad Learning," in IEEE Transactions on Services Computing, doi: 10.1109/TSC.2023.3247611.

    7.H. Zhou, T. Wu, X. Chen, S. He, D. Guo and J. Wu, "Reverse Auction-Based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing," in IEEE Transactions on Mobile Computing, 2022, doi: 10.1109/TMC.2022.3189050.

    8.H. Zhou, T. Wu, H. Zhang and J. Wu, "Incentive-Driven Deep Reinforcement Learning for Content Caching and D2D Offloading," in IEEE Journal on Selected Areas in Communications, vol. 39, no. 8, pp. 2445-2460, Aug. 2021.

    9.H. Zhou, T. Wu, X. Chen, S. He and J. Wu, "RAIM: A Reverse Auction-Based Incentive Mechanism for Mobile Data Offloading Through Opportunistic Mobile Networks," in IEEE Transactions on Network Science and Engineering, vol. 9, no. 6, pp. 3909-3921, 1 Nov.-Dec. 2022.

    10.T. Wu, X. Liu, D. Zeng, H. Zhou and S. Xu, "Incentive-driven Data Offloading and Caching Replacement Scheme in Opportunistic Mobile Networks," 2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS), Hong Kong, 2020, pp. 679-684.

    11.Z. Wang, T. Wu, Z. Zhang and H. Zhou, "A Game theory-based Computation Offloading Method in Cloud-Edge Computing Networks," 2021 International Conference on Computer Communications and Networks (ICCCN), Athens, Greece, 2021, pp. 1-6, doi: 10.1109/ICCCN52240.2021.9522361.

    12.M. Li, T. Wu, H. Zhou, L. Zhao and V. C. M. Leung, "Incentive-driven Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing," 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW), Bologna, Italy, 2022, pp. 157-162, doi: 10.1109/ICDCSW56584.2022.00038.

项目:

基于多模态融合推荐的智能边缘缓存优化策略研究(国家自然科学基金,主持,在研)
基于边缘计算的智能金融服务多模态建模与策略泛化研究(浙江省自然科学基金,主持,在研)

在读研究生:

许秀钿:2024级博士研究生,研究方向为智能金融和边缘计算。

赵    薇:2025级博士研究生,研究方向为信贷安全。

刘涛涛:2024级硕士研究生,研究方向为智能金融和边缘计算。

龚文强:2024级硕士研究生,研究方向为股票预测。

 

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