张午阳，中国科学技术大学人工智能与数据科学学院特任教授。入选国家青年人才项目。2020年获美国罗格斯大学计算机博士学位。曾任美国Meta Staff Research Scientist（2020-2024），负责领导研发大规模机器学习训练管理系统，在异构计算资源调度及大模型产品化应用等方向取得突破性成果。曾任日本东京大学访问学者，曾在字节跳动人工智能实验室、三星美国研究院实习。荣获2020年IEEE Communications Society Phoenix ISS Award。

Email: wuyangz@ustc.edu.cn

主要研究方向：高效能AI、机器学习系统、具身智能

地址：中科大苏州高等研究院唯真楼410

实验室介绍：我们在具身智能与自动驾驶前沿突破大模型核心技术，推动大模型在数据、模型、系统与硬件层的协同优化，打通智能系统从理论到场景落地的最后一公里。我们欢迎对大模型、智能系统充满热情的你加入，共同探索智能边界，打造面向未来的智能基础设施!

代表性论著：

[1]  Zhang, Wuyang, Zhezhi He, Luyang Liu, Zhenhua Jia, Yunxin Liu, Marco Gruteser, Dipankar Raychaudhuri, and Yanyong Zhang. "Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading." In Proceedings of the 27th Annual International Conference on Mobile Computing and Networking (MobiCom21), pp. 201-214. 2021.

[2]  Zhang, Wuyang, Sugang Li, Luyang Liu, Zhenhua Jia, Yanyong Zhang, and Dipankar Raychaudhuri. "Hetero-edge: Orchestration of real-time vision applications on heterogeneous edge clouds." In IEEE INFOCOM 2019-IEEE Conference on Computer Communications (INFOCOM19), pp. 1270-1278. IEEE, 2019.

[3]  Ren, Haojie, Wuyang Zhang, Shuyao Shi, Xinran Zhang, Lu Zhang, and Yanyong Zhang. "UniSense: Spatial-Uncertainty-Aware Collaborative Sensingfor Autonomous Driving" In Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys25)

[4]  Zhang, Xinran, Hanqi Zhu, Yifan Duan, Wuyang Zhang, Longfei Shangguan, Yu Zhang, Jianmin Ji, and Yanyong Zhang. "Map++: Towards user-participatory visual SLAM systems with efficient map expansion and sharing." In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking (MobiCom24), pp. 633-647. 2024.  

[5]  Zhang, Wuyang, Jiachen Chen, Yanyong Zhang, and Dipankar Raychaudhuri. "Towards efficient edge cloud augmentation for virtual reality mmogs." In Proceedings of the Second ACM/IEEE Symposium on Edge Computing (SEC17), pp. 1-14. 2017.

[6]  Liu, Luyang, Ruiguang Zhong, Wuyang Zhang, Yunxin Liu, Jiansong Zhang, Lintao Zhang, and Marco Gruteser. "Cutting the cord: Designing a high-quality untethered vr system with low latency remote rendering." In Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys18), pp. 68-80. 2018.

[7]  Xu, Yang, Yunming Liao, Lun Wang, Hongli Xu, Zhida Jiang, and Wuyang Zhang. "Overcoming noisy labels and non-iid data in edge federated learning." IEEE Transactions on Mobile Computing (TMC) (2024).

[8]  Wang, Lun, Yang Xu, Hongli Xu, Zhida Jiang, Min Chen, Wuyang Zhang, and Chen Qian. "BOSE: Block-wise federated learning in heterogeneous edge computing." IEEE/ACM Transactions on Networking (TON) 32, no. 2 (2023): 1362-1377.

[9]  Zhang, Wuyang, Russell Ford, Joonyoung Cho, Charlie Jianzhong Zhang, Yanyong Zhang, and Dipankar Raychaudhuri. "Self-organizing cellular radio access network with deep learning." In IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops (INFOCOM19), pp. 429-434. IEEE, 2019.

[10]  Zhong, Jing, Wuyang Zhang, Roy D. Yates, Andrey Garnaev, and Yanyong Zhang. "Age-aware scheduling for asynchronous arriving jobs in edge applications." In IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops (INFOCOM19), pp. 674-679. IEEE, 2019.