In August 2018, he joined the Automatic Control Laboratory at EPFL as a PhD student under the supervision of Professor Colin Jones.
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.
Fields of expertise
|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|