Yingzhao Lian
EPFL STI IGM LA3
ME C2 424 (Bâtiment ME)
Station 9
CH-1015 Lausanne
Web site: Web site: https://la.epfl.ch/
Fields of expertise
Control theory, optimization and machine learning.
For master/semester project, please contact me directly. I don
For master/semester project, please contact me directly. I don
Biography
Yingzhao graduated with a MSc in Mechanical Enginerring from EPFL in 2018. He specialized in optimization and learning theory. He jointly conducted his master’s thesis with the Automatic Control Lab, EPFL and ABB Corporate Research, Baden, where he investigated the problem of data-driven model based optimal control.In August 2018, he joined the Automatic Control Laboratory at EPFL as a PhD student under the supervision of Professor Colin Jones.
My google scholars: https://scholar.google.com/citations?user=VWrFlV4AAAAJ
Current work
1. Invariant manifold of nonlinear dynamical system and Koopman operator theory.2. Smart building control and demand response.
3. Learning theory, in particular representation theory and reinforcement learning.
4. Optimization theory, in particular distributed optimization, large-scale optimization in machine learning and maximal monotone operator theory.
Publications
Selected publications
| Lian, Y; Wildhagen, S; Jiang, Y; Houska, B; Allgower, F and Jones, C.N 2020 IEEE Conference on Decision and Control(CDC) |
Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC |
| Lian,Y. and Jones, C.N. 2020 International Federation of Automatic Control(IFAC) |
On Gaussian Process based Koopman Operators |
| Lian, Y. and Jones, C.N. 2019 IEEE Conference on Decision and Control (CDC) |
Learning feature maps of the koopman operator: a subspace viewpoint |
| Maddalena, E.T., Lian, Y. and CJones, C.N. Control Engineering Practice |
Data-Driven Methods for Building Control - A Review and Promising Future Directions |
| Lanzetti N, Lian Y Z, Cortinovis A, et al. 2019 18th European Control Conference (ECC) |
Recurrent Neural Network based MPC for Process Industries |