Jiyao Liu is currently (Oct 2024) a 4th-year Ph.D. candidate with the Computer and Information Sciences Department at Temple University, advised by Dr. Yu Wang.

His reserach focuses on quantum networking and networks + AI. He has worked at Toyota Motor North America as a machine learning research intern during Aug. - Dec. 2023, supervised by Dr. Yongkang Liu. There, he designed a machine learning model for electric vehicles battery prediction with ~10% MAPE, which is better than Tesla’s.

Prior to his Ph.D. study, he obtained his B.Eng. in Information Security from North China University of Technology in Jun. 2020.

News

10-2024 Our paper on topology design for quantum networks was accepted by SECON 2024!
10-2024 Our paper on group-based federated learning was accepted by Transactions on Cloud Computing!
08-2024 Our paper on federated learning and blockchain was accepted by VTC2024-Fall!
05-2024 Our paper on hybrid quantum-classic optimization was accepted by ICCCN 2024!
05-2024 Our paper on satellite-based entanglement distribution was accepted by IEEE Network!
04-2024 Glad to receive the CIS Outstanding Research Assistant Award!
12-2023 Finished my internship with Exceeded rating!
08-2023 Received travel award to Salt Lake City to attend ICPP 2023!
07-2023 Received an internship offer from Toyota InfoTech Labs!
06-2023 Our paper on group-based federated learning was accepted by ICPP 2023!