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Yitao Hu (胡一涛)
Department of Computer Science
Tianjin University (天津大学)
I am an assistant professor in TANK Lab at Tianjin University. My research focuses on networked systems at the intersection of edge/cloud computing, mobile computing, and machine learning.
Previously, I received my Ph.D. from Networked Systems Lab (NSL) at University of Southern California, advised by Prof. Ramesh Govindan. Before joining NSL, I obtained my B.S degree in Department of Electrical Engineering, Shanghai Jiao Tong University, advised by Prof. Xinbing Wang.
 Yitao Hu, Rajrup Ghosh, Ramesh Govindan. "Scrooge: A Cost-Effective Deep Learning Inference System." ACM SoCC, 2021, to appear.
 Yitao Hu, Weiwu Pang, Xiaochen Liu, Rajrup Ghosh, Bongjun Ko, Wei-Han Lee, Ramesh Govindan. "Rim: Offloading Inference to the Edge." ACM/USENIX IoTDI, 2021.
 Yitao Hu, Swati Rallapalli, Bongjun Ko, Ramesh Govindan. "Olympian: Scheduling GPU Usage in a Deep Neural Network Model Serving System." ACM/USENIX Middleware, 2018.
 Yitao Hu, Xiaochen Liu, Suman Nath, Ramesh Govindan. "ALPS: Accurate Landmark Positioning at City Scales." ACM UbiComp, 2016.
 Yitao Hu, Xinbing Wang, Xiaoying Gan. "Critical Sensing Range for Mobile Heterogeneous Camera Sensor Networks." IEEE INFOCOM, 2014.