教育背景

2011.09－2015.07，北京大学，学士，数学与应用数学

2015.09－2020.07，中国科学院数学与系统科学研究院，博士，运筹学与控制论，导师：郭雷研究员&李婵颖研究员

工作经历：

2020.09－2022.08，深圳大学计算机与软件学院，博士后，合作导师：朱泽轩教授

2022.09–至今，深圳大学高等研究院，研究员、助理教授

2023.06－2023.09，香港中文大学 机械与自动化工程学系，荣誉访问学者，访问黄捷教授

研究兴趣：

1.控制论：随机非线性系统的自适应控制；

2.数据科学：分布式数据，迁移学习，模型平均；

3.计算智能：多任务优化，演化计算。

获奖情况：

2021年, IEEE CSS北京分会青年作者提名奖(3/1662)

2020年,中国科学院大学优秀毕业生

2020年,北京市优秀毕业生

代表性论文：

1. Z. Liu, and C. Li*. (2019) Is It Possible to Stabilize Discrete-time Parameterized Uncertain Systems Growing Exponentially Fast?. SIAM Journal on Control and Optimization, 57(3): 1965-1984.

2. Z. Liu, and C. Li*. (2019) Stabilizability Theorem of Discrete-time Nonlinear Systems with Scalar Parameters. Control Theory and Applications, 36(11):1929-1935.

3. Z. Liu, and C. Li*. (2021) On the Convergence of Least Squares Estimator for Nonlinear Autoregressive Models. Proceedings of the 40th Chinese Control Conference, IEEE, 2021:1389-1934.

4. Z. Liu, Q. Xie and C. Li*. (2022) Inverse Eigenvalue Problem for Mass-Spring-Inerter Systems. Mechanical Systems and Signal Processing, 167: 108506.

5. Z. Liu, and C. Li*. (2022) A Note on the Convergence of Distributed RLS. IEEE Transactions on Automatic Control, 67(12): 6762-6769.

6. Z. Liu, and C. Li*. (2023) Asymptotic Behavior of Least Squares Estimator for Nonlinear Autoregressive Models. Science China Information Sciences, 66(6): 169204.

7. Z. Liu, G. Li, H. Zhang, Z. Liang, Z. Zhu*.(2023) Multifactorial Evolutionary Algorithm Based on Diffusion Gradient Descent. IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2023.3270904.

8. Z. Liu, and C. Li*. (2023) Global Stabilizability Theorems on Discrete-Time Nonlinear Uncertain Systems. IEEE Transactions on Automatic Control, 68(6): 3226-3240.

9. H. Zhang#, Z. Liu# and G. Zou*. (2023) Least Squares Model Averaging for Distributed Data. Journal of Machine Learning Research, 24(2023): 1-59. (#Co-first author)

10. Z. Liu, Q. Xie and C. Li*. (2023) Further Results on Inverse Eigenvalue Problem For Mass-spring-Inerter Systems. Mechanical Systems and Signal Processing. (accepted)