服务计算与具身智能

计算是智能和信息技术的基础，在大规模广域的场景下，系统复杂、规模庞大、故障意外频发，如何更好的支撑各种计算任务和AI功能实现？我们关注此类复杂系统中若干本质问题，深入分析和研究了AI大潮下的计算和服务发展方向，以计算几何和仿真为交叉结合点，尤其是关注具身智能的场景实现，形成了独具特色的边缘服务和人工智能研究领域。此方向得到了国家重点研发计划课题等项目的支持，其研究成果相继发表于IEEE Transactions on Services Computing和International Conference on Service-Oriented Computing等国际顶级期刊和会议，部分高水平成果如下:

[1] G. Zhang, S. Jia, L. Xu, B. Xu, W. Wu and L. Zheng, Stability-Oriented Heterogeneous Application Re-Deployment in Mobile Edge Computing,  IEEE Transactions on Services Computing, vol. 18, issue 5, pp. 3235-3248, Sept.-Oct. 2025, doi: 10.1109/TSC.2025.3592382  

[2] E. Liu, G. Zhang, L. Xu, W. Wu, B. Xu and L. Zheng, Server Hazard Risk Awareness User Allocation in Urban-Scale Edges, IEEE Transactions on Services Computing, vol. 17, no. 5, pp. 2862-2875, Sept.-Oct. 2024, doi: 10.1109/TSC.2023.3336846

[3] G. Zhang, X. Li, L. Xu, E. Liu, L. Zheng, W. Wu, B. Xu, UGV-awareness task placement in edge-cloud based urban intelligent video systems，Cluster Computing, vol.27, pp. 6563-6577, Aug. 2024, doi: 10.1007/s10586-024-04305-w

[4] E. Liu, L. Zheng, Q. He, P. Lai, B. Xu and G. Zhang, Role-Based User Allocation Driven by Criticality in Edge Computing, IEEE Transactions on Services Computing, vol. 16, no. 5, pp. 3636-3650, Sept.-Oct. 2023, doi: 10.1109/TSC.2023.3280498.

[5] E. Liu, L. Zheng, Q. He, B. Xu, and G. Zhang，Criticality-Awareness Edge User  Allocation for Public Safety，IEEE Transactions on Services Computing, vol.16, issue 1, pp.  221–234, Feb. 2023, doi: 10.1109/TSC.2021.3131348

[6] G. Zhang, B. Xu, E. Liu, L. Xu and L. Zheng，Task placement for crowd recognition in edge-cloud based urban intelligent video systems，Cluster Computing, vol. 25, pp. 249–262, Feb. 2022, doi: 10.1007/s10586-021-03392-3

[7] L. Xu. G. Zhang. E. Liu. B. Xu. L. Zheng, Prediction- Awareness Edge User Allocating in Edge Based Intelligent Video Systems Driven by Priority, ICSOC 2021:  International Conference on Service-Oriented Computing, pp 773-780, doi: 10.1007/978-3-030-91431-8_54

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