Chen Liu

Welcome to my homepage! I am a Ph.D student at the School of Computer and Communication Sciences (IC), École Polytechnique Fédérale de Lausanne (EPFL), supervised by Prof. Sabine Süsstrunk and co-supervised by Dr. Mathieu Salzmann. In July 2022, I defended my Ph.D thesis, entitled "Towards Verifiable, Generalizable and Efficient Robust Deep Neural Networks". Previously, I obtained my Master Degree from École Polytechnique Fédérale de Lausanne (EPFL) in 2017 and Bachelor Degree from Tsinghua University in 2015, both in Computer Science.

I am very fortunate to be supported by Microsoft Research PhD Scholarship Programme from September 2017 to April 2019, working with Dr. Ryota Tomioka from Microsoft Research Cambridge. From February to August 2017, I worked at Swisscom Digital Lab in Lausanne, Switzerland and completed my Master Thesis there. From July 2016 to February 2017, I did a research internship at Siemens Healthineers in Princeton, New Jersey, USA.

My research focus is on machine learning and optimization. I am particularly interested in deep learning, from theoretical understanding to practical applications. I am currently working on algorithms to build robust deep learning models that are certifiable, scalable and efficient.

I will join the Department of Computer Science, City University of Hong Kong as a Tenure-Track Assistant Professor in the winter of 2022. I have several openings. If you are interested in working with me, please feel free to email me with your CV.