About me
I am currently a junior undergraduate student majoring in Information and Computing Science at Harbin Institute of Technology (Weihai), and I will obtain my Bachelor of Science degree in 2027. I am currently seeking opportunities for research internships and doctoral programs.
I studied at Harbin Institute of Technology (Weihai) under the supervision of Professor Li Wenxue and Teacher Xu Dongsheng, focusing on the research of system control and stability issues of stochastic large-scale networks under asynchronous DoS attacks.
Research experience
Publications
Asynchronous Impulsive Stabilization of Large-Scale Networks Under Denial-of-Service Attacks (Third Author)
Journal: IEEE Transactions on Circuits and Systems I: Regular Papers ( TCSI-I, JCR-Q1 )
Status: Published, March 2026
Summary: This study develops an asynchronous impulsive stabilization strategy for large-scale networks under DoS attacks by introducing node-dependent average impulsive intervals. By utilizing a piecewise continuous balancing function and Lyapunov theory, the approach effectively ensures exponential stability even when the network simultaneously experiences stabilizing and destabilizing impulses.
Submitted Papers
Discrete Observation Decentralized Control for Switched Stochastic Large-Scale Systems With Asynchronous DoS Attacks (Second Author)
Status: Under Review(SCIS)
Summary: This research proposes a discrete observation decentralized control scheme for switched stochastic large-scale systems by introducing node-dependent average dwell time to handle independent node switching. By designing a node-specific balancing function to coordinate asynchronous behaviors and DoS constraints, the study establishes a synchronization criterion that robustly addresses the complexities of stochasticity, delays, and mode mismatches.
Honors and Awards
Project experience
- Technical Director of the College Student Growth Community of the Alliance of the Most Good, December, 2025 - Present
Skills
Programming: Python, C, SQL, R
Tools:Docker, Git, Linux, cloud deployment