Machine learning, high-dimensional statistics, convex optimization, and quantum information
École polytechnique fédérale de Lausanne, 2018
Dr ès Science (PhD), Computer Science
Advisor: Prof. Volkan Cevher
National Taiwan University, 2010
M.S., Communication Engineering
Advisor: Prof. Ping-Cheng Yeh
National Taiwan University, 2008
B.S.Eng., Electrical Engineering (minor in Economics)
National Taiwan University, 2018--present
Assistant professor
Department of Computer Science and Information Engineering
Graduate Institute of Networking and Multimedia
Academia Sinica, 2011--2012
Research assistant
Research Center for Information Technology Innovation
National Taiwan University, 2008--2009
Research assistant
Graduate Institute of Communication Engineering
Teaching Assistant, École Polytechnique Fédérale de Lausanne, 2013--2018
Circuits and systems I (2013)
Mathematics of data: From theory to computation (2014--2017)
Advanced topics in data science (2016)
Advanced topics in machine learning (2018)
Teaching Assistant, National Taiwan University, 2009--2010
Fall, 2009: Stochastic Process and Its Applications
Spring, 2010: Probability Theory and Statistics
Almost condition-free constrained convex optimization
National Taiwan University, January 2018
Information Theory and Applications Workshop (ITA), February 2018
Learning data triage: A learning theoretic approach to compressive sampling
National Taiwan University, January 2017
A geometric view on high-dimensional constrained M-estimation
Technische Universität München, November 2015
Composite convex optimization involving self-concordant like loss functions
International Symposium on Mathematical Programming (ISMP2015), Pittsburgh, July 2015
A geometric view on high-dimensional statistical estimation
National Taiwan University, May 2015
IEEE Signal Processing Letters,
IEEE Transactions on Communications,
IEEE Transactions on Signal Processing,
IEEE Transactions on Wireless Communications,
Annual Conference on Neural Information Processing Systems (NIPS),
IEEE Information Theory Workshop (ITW),
IEEE International Symposium on Information Theory (ISIT),
International Conference on Artificial Intelligence and Statistics (AISTATS),
International Conference on Machine Learning (ICML)
See this page.