工学博士，2024.2月-7月作为访问学者赴澳大利亚斯威本科技大学计算机技术系进行学术交流，曾获浙江省优秀博士毕业生、优秀博士论文奖。2024年入职浙江工商大学计算机科学与技术学院，同时担任中国计算机学会（CCF）服务计算专委会执行委员、国家自然科学基金评议专家，并任国际期刊《Digital Twins and Applications》青年编委。
研究方向聚焦于强化学习、移动数据卸载、智慧金融与推荐系统。近五年内在JSAC、TMC、TSC等CCF-A类期刊及国际会议上发表论文10余篇，其中多篇入选高被引论文；主持国家自然科学基金青年项目1项、浙江省自然科学基金1项、浙江省“尖兵领雁+X”计划子课题2项，参与国家重点研发计划及国家自然科学基金项目多项；已获授权发明专利6项。长期担任TMC、TSC、JSAC、AAAI、PLOS ONE、ICSS等多个国际权威期刊与会议审稿人。
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）