Minghui Zhu, PhD

    • 1295 Citations
    • 15 h-Index
    20062019
    If you made any changes in Pure, your changes will be visible here soon.

    Fingerprint Dive into the research topics where Minghui Zhu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    Stochastic systems Engineering & Materials Science
    State estimation Engineering & Materials Science
    Unknown Inputs Mathematics
    Motion planning Engineering & Materials Science
    State Estimation Mathematics
    Reinforcement learning Engineering & Materials Science
    Attack Mathematics
    Discrete-time Systems Mathematics

    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 2006 2019

    A control-theoretic perspective on cyber-physical privacy: Where data privacy meets dynamic systems

    Lu, Y. & Zhu, M., Jan 1 2019, In : Annual Reviews in Control. 47, p. 423-440 18 p.

    Research output: Contribution to journalReview article

    Data privacy
    Dynamical systems
    Cyber Physical System

    MTD techniques for memory protection against zero-day attacks

    chen, P., Hu, Z., Xu, J., Zhu, M., Erbacher, R., Jajodia, S. & Liu, P., Jan 1 2019, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, p. 129-155 27 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11830 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Attack
    Data storage equipment
    Zero
    Methodology
    Review
    1 Citation (Scopus)

    On convergence rates of game theoretic reinforcement learning algorithms

    Hu, Z., Zhu, M., Chen, P. & Liu, P., Jun 1 2019, In : Automatica. 104, p. 90-101 12 p.

    Research output: Contribution to journalArticle

    Reinforcement learning
    Learning algorithms

    Reinforcement learning for adaptive cyber defense against zero-day attacks

    Hu, Z., Chen, P., Zhu, M. & Liu, P., Jan 1 2019, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, p. 54-93 40 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11830 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Reinforcement learning
    Reinforcement Learning
    Attack
    Zero
    Control theory
    1 Citation (Scopus)

    Multiple topologically nontrivial bands in noncentrosymmetric YSn2

    Zhu, Y., Zhang, T., Hu, J., Kidd, J., Graf, D., Gui, X., Xie, W., Zhu, M., Ke, X., Cao, H., Fang, Z., Weng, H. & Mao, Z., 2018, In : Physical Review B. 98, 3

    Research output: Contribution to journalArticle

    metalloids
    Brillouin zones
    Fermi surfaces
    platforms
    fermions