I’m a fifth-year Phd student in CSE department at Pennsylvania State University advised by Prof. Tom La Porta. My current research interest lies in reinforcement learning, network security and network resource allocation. I obtained my B.S. degree in Computer Science and Technology Department at Tsinghua University in 2018 and M.S. degree in CSE department at Pennsylvania State University in 2020. Here is my CV. My email is mxy309 at psu dot edu. I worked in Nokia Bell labs as summer research intern in 2022.

Publications

1. Xiaoying Bai, Kejia Hou, Jun Huang, Mingli Yu. Analytic methods in systems and software testing, 2018
2. Yu Zhou, Jun Bi, Cheng Zhang, Bingyang Liu, Zhaogeng Li, Yangyang Wang, Mingli Yu. P4DB: On-the-Fly Debugging for Programmable Data Planes. IEEE/ACM Transactions on Networking, 2019
3. Mingli Yu, Ting He, Patrick McDaniel, Quinn K Burke. Flow Table Security in SDN: Adversarial Reconnaissance and Intelligent Attacks. IEEE INFOCOM 2020-IEEE Conference on Computer Communications (INFOCOM), 2020(Accept rate: 18%)
4. Mingli Yu, Tongan Cai, Xiaolei Huang, Kelvin Wong, John Volpi, James Z Wang, Stephen TC Wong. Toward Rapid Stroke Diagnosis with Multimodal Deep Learning. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020(Accept rate: 25%)
5. Quinn Burke, Patrick McDaniel, Thomas La Porta, Mingli Yu, Ting He. Misreporting Attacks in Software-Defined Networking. International Conference on Security and Privacy in Communication Systems (SecureCom), 2020
6. Mingli Yu, Tian Xie, Ting He, Patrick McDaniel, Quinn K Burke. Flow Table Security in SDN: Adversarial Reconnaissance and Intelligent Attacks. IEEE/ACM Transactions on Networking (TON), 2021
7. Tongan Cai, Haomiao Ni, Mingli Yu, Xiaolei Huang, Kelvin K. Wong, John Volpi, James Z. Wang, Stephen T. C. Wong. DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning. Medical Image Analysis, 2022
8. Quinn Burke, Patrick McDaniel, Thomas La Porta, Mingli Yu, Ting He. Misreporting Attacks Against Load Balancers in Software-Defined Networking. Mobile Networks and Applications (MONET), 2022
9. Mingli Yu, Quinn Burke, Thomas La Porta, Patrick McDaniel. mMLSnet: Multilevel Security Network With Mobility. IEEE Military Communications Conference (MILCOM), 2023
10. Mingli Yu, Quinn K Burke, Thomas La Porta, Patrick McDaniel. Stealthy Misreporting Attacks Against Load Balancing. IEEE/ACM Transactions on Networking (TON), 2024
11. Quinn Burke, Yohan Beugin, Blaine Hoak, Rachel King, Eric Pauley, Ryan Sheatsley, Mingli Yu, Ting He, Thomas La Porta, Patrick McDaniel. Securing Cloud File Systems with Trusted Execution. IEEE Transactions on Dependable and Secure Computing (TDSC), 2024
12. Mingli Yu, Thomas La Porta, Murali Kodialam, T. V Lakshman. Revisiting network link weight assignment with deep reinforcement learning. (in submission for (INFOCOM) 2025)