Jiayu Pan
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Biography
I received my M.S. and Ph.D. degrees in the Department of Electrical and Computer Engineering at the Ohio State University in 2023. My graduate advisors are Prof. Ness B. Shroff, Distinguished Professor, IEEE Fellow who makes fundamental contributions to the networking area, and Prof. Yin Sun who receives the NSF career award. Before that, I received my B.S. degree at Shanghai Jiao Tong University in 2017. My undergrad advisors are Prof. Xinbing Wang and Prof. Luoyi Fu. Starting from 2023.09, I joined the School of Software Technology, Zhejiang University. In 2024, I am granted by the National Level Young Talents Project (Oversea), and the Young Scientists Fund of the National Natural Science Foundation of China. In 2025, I serve as a TPC member of ACM MobiHoc.
My main research contributions in the past years are about network science. Specifically, I used some mathematical tools such as reinforcement learning, stopping rules to model various wireless network environments. For each environment, I obtained an exact but simple solution to optimize essential metrics, such as estimation error and age of information. In addition, in the US, I have participated in multiple national level projects that are closely related to my research, such as Office of Naval Research (coding based) and National Science Foundation.
My current research interest includes: (i) Networking: How to obtain similar solutions under complex networks; (ii) Quantum Networks: When Quantum cirtuits take part in communications, how should we adjust the transmission strategies to improve the network performance; (iii) Generative AI for networking: How should these communication networks adapt to the widespread employment of Generative AI.
Publications
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Timely Gossip on Lines: Hybrid Ageing
Han Xu, Jiayu Pan, Yinfei Xu, Shuo Shao and Tiecheng Song
IEEE ISIT, 2025
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Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing
Lyudong Jin, Ming Tang, Jiayu Pan, Meng Zhang, and Hao Wang
ArXiv, 2024
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Age optimal sampling for unreliable channels under unknown channel statistics
Hongyi He, Haoyue Tang, Jiayu Pan, Jintao Wang, Jian Song, and Leandros Tassiulas
Arxiv, 2025
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Facial Data Minimization: Shallow Model as Your Privacy Filter
Yuwen Pu, Jiahao Chen, Jiayu Pan, Hao li, Diqun Yan, Xuhong Zhang, and Shouling Ji
IEEE TDSC, 2025
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Sampling for Remote Estimation of the Wiener Process over an Unreliable Channel
Jiayu Pan, Yin Sun, and Ness B. Shroff
ACM Sigmetrics, 2024
Acceptance rate: 15.9%
Abstract Paper -
Age optimal sampling for unreliable channels under unknown channel statistics
Hongyi He, Haoyue Tang, Jiayu Pan, Jintao Wang, Jian Song, and Leandros Tassiulas
IEEE Wiopt, 2023
Invited Paper
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Optimal Sampling for Data Freshness: Unreliable Transmissions with Random Two-way Delay
Jiayu Pan, Ahmed M. Bedewy, Yin Sun, and Ness B. Shroff
IEEE/ACM Transactions on Networking (IEEE/ACM ToN), 2023
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Age-optimal Scheduling over Hybrid Channels
Jiayu Pan, Ahmed M. Bedewy, Yin Sun, and Ness B. Shroff
IEEE Transactions on Mobile Computing(IEEE TMC), 2022
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Optimizing Sampling for Data Freshness: Unreliable Transmissions with Random Two-way Delay
Jiayu Pan, Ahmed M. Bedewy, Yin Sun, and Ness B. Shroff
IEEE International Conference on Computer Communications (IEEE Infocom), 2022
Acceptance rate: 19.9% -
Minimizing Age of Information via Scheduling over Heterogeneous Channels
Jiayu Pan, Ahmed M. Bedewy, Yin Sun, and Ness B. Shroff
ACM MobiHoc, 2021
Acceptance rate: 20.1% -
Minimizing Age of Information in Multi-channel Time-sensitive Information Update Systems
Zhenzhi Qian, Fei Wu, Jiayu Pan, Kannan Srinivasan, and Ness B. Shroff
IEEE International Conference on Computer Communications (IEEE Infocom), 2020
Acceptance rate: 19.8% -
Core Percolation in Coupled Networks
Jiayu Pan, Yuhang Yao, Luoyi Fu, and Xinbing Wang
ACM MobiHoc poster session, 2017