About me
I received my PhD under the supervision of Prof. Paul Goulart in the control group of Department of Engineering Science, University of Oxford. My current research is on numerical algorithms for convex conic optimization, from the design of efficient first-order methods and interior point methods and their implementation on GPU. Before joining University of Oxford, I obtained my bachelor degree from the Department of Electrical Engineering of Shanghai Jiao Tong University (2017) and master degree from the Department of Information Technology and Electrical Engineering of ETH Zurich (2020).
Publications
- Clarabel: An interior-point solver for conic programs with quadratic objectives, Paul Goulart and Yuwen Chen, arXiv
- An Efficient IPM Implementation for A Class of Nonsymmetric Cones, Yuwen Chen and Paul Goulart, arXiv
- A Unified Early Termination Technique for Primal-dual Algorithms in Mixed Integer Conic Programming, Yuwen Chen and Paul Goulart, Control Systems Letters (L-CSS)
- Design Optimization for Bellow Soft Pneumatic Actuators in Shape-Matching, Yao Yao, Yuwen Chen, Liang He, Perla Maiolino, 2023 IEEE International Conference on Soft Robotics
- Burer-Monteiro ADMM for Large-scale SDPs, Yuwen Chen, Paul Goulart, arXiv
- An Early Termination Technique for ADMM in Mixed Integer Conic Programming, Yuwen Chen, Paul Goulart, 20th European Control Conference, ECC 2022
- Burer-Monteiro ADMM for Large-scale Diagonally Constrained SDPs, Yuwen Chen, Paul Goulart, 20th European Control Conference, ECC 2022
- An accelerated DFO algorithm for finite-sum convex functions, Yuwen Chen, Antonio Orvieto, Aurelien Lucchi, 37th International Conference on Machine Learning, ICML 2020
- Game theoretic stochastic energy coordination under a distributed zeroth-order algorithm, Yuwen Chen, Suli Zou, John Lygeros, 21st IFAC World Congress, 2020
Teachings
- AIMS: Optimization2022, 2023
- B15 Linear Dynamic Systems and Optimal Control2022
- B15 Lab 2022-2024
Software
Award
- Clarendon Scholarship2020-2024
- EPSRC IAA Technology Fund2023