Neuromimetic Control - A Linear Model Paradigm. - John Baillieul; Zexin Sun (CDC, 2021)

Neuromimetic Linear Systems - Resilience and Learning. - Zexin Sun; John Baillieul (CDC, 2022)

Model Predictive Control for Neuromimetic Quantized Systems. - Zexin Sun; John Baillieul (CoRR, 2022)

Emulation Learning for Neuromimetic Systems. - Zexin Sun; John Baillieul (CDC, 2023)

Learning Decentralized Frequency Controllers for Energy Storage Systems. - Zexin Sun; Zhenyi Yuan; Changhong Zhao; Jorge Cortés 001 (IEEE Control. Syst. Lett., 2023)

Neuromimetic Dynamic Networks with Hebbian Learning. - Zexin Sun; John Baillieul (ACC, 2024)

Koopman-based Deep Learning for Nonlinear System Estimation. - Zexin Sun; Mingyu Chen 012; John Baillieul (CDC, 2024)

Structure and Control of Biology-inspired Networks. - Zexin Sun; John Baillieul (CoRR, 2024)

High-k2 AlSc0.095N-based two-dimensional coupled mode resonators with transducer design toward 5G application. - Zexin Sun; Shitao Lv; Wenhao Ye; Xinyi Sun; Haiyan Sun; Jicong Zhao (Microelectron. J., 2024)

Study on the impact of the resonant cavity and lateral acoustic edge reflector for AlSc0.095N-based S0 mode Lamb-wave resonators. - Jicong Zhao; Zexin Sun; Zhi Dong; Yanmeng Dang; Shitao Lv; Wenhao Ye; Haiyan Sun; Quan Shi (Microelectron. J., 2024)

Online Distributed Generalized Nash Equilibrium Seeking of Energy Sharing Markets in Distribution Networks. - Zhaojian Wang; Wenxian Hao; Wei Wei 007; Zexin Sun (IEEE Trans Autom. Sci. Eng., 2025)