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

His is interested in future networking systems, such as networking + AI and quantum. 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. While pursuing his Ph.D., he also earned M.S. in Computer Science from Temple University in 2024.

News

02-2025 Our paper on network topology and qubit allocation co-optimization for distributed quantum computing is accepted by QCNC 2025!
12-2024 I’m thrilled to receive the 2024 Outstanding Graduate Research Assistant Award from our College of Science and Technology!
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 (one from the whole department)!
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!