Liu Ziyin, UTokyo 刘子寅
UPDATE: I have moved to MIT and NTT Research. Here is my new website: https://www.mit.edu/~ziyinl/
Liu Ziyin 刘子寅
Email: liu.ziyin.p (at) gmail.com
Office: Room 949, Graduate School of Science Building 1
Department of Physics, University of Tokyo
I am a graduate student in physics at the University of Tokyo. I study and do research in, technically speaking, theoretical physics in the Ueda Group. Personally, I am interested in art, literature and philosophy. I also play Go. Even if I do my best, I speak poor English, awful Japanese, and even worse Shanghainese. If you have questions or want to collaborate, or just want to say hi, please shoot an email.
Doctor thesis: Symmetry breaking in deep learning (深層学習に於ける対称性の破れ, 2023).
Master thesis: Mean-field learning dynamics of deep neural networks (2020).
Research Interest
I am particularly interested building a scientific theory of deep learning, and I think tools and intuitions from physics an be of great help. Currently, I am interested in the following problems:
- phase transition and symmetry breaking in neural network
- analytically solvable models of deep learning
- design of principled and simple algorithms of learning
Past Research
So far, I have worked on the following problems:
I do my best to establish solid deep learning methods:
achieving L1 penalty with gradient descent
a horse race inspired blackbox for uncertainty estimation in deep learning
a theoretically motivated data augmentation method for financial portfolio construction
I also do research on statistical physics:
a universal theormodynamic uncertainty relation
econophysics