1、服务计算与边缘智能
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大潮下的基础计算发展方向，以计算几何和仿真为交叉结合点，形成了独具特色的服务计算和边缘智能研究领域。此方向下的研究成果相继发表于IEEE Transactions on Services Computing，ACM Transactions on Sensor Network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] 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
[2] 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
[3] 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
[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, 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
[6] 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
[7] G. Zhang, Y. Li, X. Bao, C. Chakarborty, J. Rodrigues, L. Zheng, X. Zhang, L. Qi, and M. Khosravi, TSDroid: A Novel Android Malware Detection Framework Based on Temporal & Spatial Metrics in IoMT, ACM Transactions on Sensor Network, vol. 19, issue 3, Article 51, Aug. 2023. doi: 10.1145/3532091
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2、计算机图形学与仿真
“眼见为实”，计算机图形学为《哪吒》的电影特效和《黑神话：悟空》的游戏动画提供基础技术支持，但更重要的是为空间立法，为人眼前之所见确立基本规则。我们关注于Power图为代表的几何造型，以及空间自动布局生成等领域，以深度学习为驱动，构建起视觉体验与物理原理相互融合虚拟场景，终极目标就是一个无所不包的“世界模型”。此方向下的研究成果相继发表于ACM Transaction on Graph, Computers & Graphics, 和 Computer Graphics Forum等国际顶级期刊和会议，部分高水平成果如下:
[1] J. Sun, W. Wu, L. Liu, W. Min, G. Zhang, and L. Zheng. WallPlan: synthesizing floorplans by learning to generate wall graphs. ACM Transactions on Graph, vol. 41, issue 4, Article 92 (July 2022), 14 pages. doi.:10.1145/3528223.3530135
[2] L. Zheng, Y. Yao, W. Wu, B. Xu, G. Zhang, A novel computation method of hybrid capacity constrained centroidal power diagram, Computers & Graphics, vol. 97, pp. 108-116, 2021, doi:10.1016/j.cag.2021.04.007.
[3] Y. Yao, W. Wu, G. Zhang, B. Xu, and L. Zheng, Power Diagram based Algorithm for the Facility Location and Capacity Acquisition Problem with Dense Demand, Frontiers of Computer Science, vol. 16, article no. 166709, 2022, doi:10.1007/s11704-022-0582-2
[4] Y. Yao, J. Liu, W. Wu, G. Zhang, B. Xu, L. Zheng, Accelerating surface remeshing through GPU-based computation of the restricted tangent face, Computer Aided Geometric Design, vol. 104, July 2023, 102216, doi:10.1016/j.cagd.2023.102216.
[5] Y. Yao, J. Liu, Y. Fei, W. Wu, G. Zhang, D.-M. Yan, L. Zheng, PowerRTF: Power Diagram based Restricted Tangent Face for Surface Remeshing. Computer Graphics Forum, 42: e14897, 2023, doi:10.1111/cgf.14897
[6] J. Wang, L. Xu, G. Zhang, B. Xu, Y. Peng, and L. Zheng, MODELLING OF CROWD DYNAMICS CONSIDERING EMERGENCY SIGNS AND EMOTIONS, International Journal of Industrial Engineering, vol. 30, issue 3, pp. 660-667, 2023, doi: 10.23055/ijietap.2023.30.3.8363.
[7] J. Liu, Y. Yao, Y. Fei, G. Zhang, L. Zheng, Surface remeshing with preservation of sharp features through iterative identification and optimization of sample points, Computers & Graphics, vol. 121, 103949, June 2024, doi:10.1016/j.cag.2024.103949.
to be continue...
- J. Sun, W. Wu, L. Liu, W. Min, G. Zhang, and L. Zheng. WallPlan: synthesizing fl
- L. Xu. G. Zhang. E. Liu. B. Xu. L. Zheng, Prediction- Awareness Edge User Alloca
- G. Zhang, B. Xu, E. Liu, L. Xu and L. Zheng，Task placement for crowd recognitio
- E. Liu, L. Zheng, Q. He, B. Xu, and G. Zhang，Criticality-Awareness Edge User A
- E. Liu, L. Zheng, Q. He, P. Lai, B. Xu and G. Zhang, Role-Based User Allocation
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