About me
I am a first year PhD student in Electrical and Computer Engineering (ECE) at the University of California, San Diego, advised by Prof. Yang Zheng. Previously, I received my bachelor degree in Bio-industrial Mechatronics Engineering, National Chung Hsing University, and master degree in ECE at the University of California, San Diego.
Updates
Our paper on Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods has been accepted for presentation at the 2024 L4DC!
Presented a talk on An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs at 2024 IOS conference.
Received the Informs 2023 poster presentation award - Operations Research and Optimization Methodologies Category Winner.
Check out our new work An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs.
Research Interests
- Optimization
- Machine Learning
Preprint
Feng-Yi, Liao, Lijun Ding, and Yang Zheng. “An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs.” arXiv preprint arXiv:2307.07651 (2023). [PDF] [Code]
Feng-Yi, Liao, Lijun Ding, and Yang Zheng. “Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods.” (2023) [PDF]
Conference paper
- Feng-Yi, Liao, and Yang Zheng. “Iterative inner/outer approximations for scalable semidefinite programs using block factor-width-two matrices.” 2022 IEEE 61st Conference on Decision and Control (CDC). IEEE, 2022. [PDF] [Code]
Journal
- A. Q. Xu, S. J. Luo, F. Y. Liao, I. C. Chen, M. C. Chien, and K. Y. Huang, “Development of Novel Auto Inspection System for Paddy Seed Germination,” Sensors and Materials, vol. 32, pp. 3647-3657, 2020. [PDF]