PUBLICATIONS

You can also find my articles on my Google Scholar profile.
The symbol * represents the equal contribution.

Preprints

1. Kangqiao Liu, Masaya Nakagawa, and Masahito Ueda,
   Maxwell’s Demon for Quantum Transport,
   [arXiv:2303.08326].

Peer-reviewed

1. Takashi Mori, Liu Ziyin, Kangqiao Liu, and Masahito Ueda,
   Power-law escape rate of SGD,
   Proceedings of the 39th International Conference on Machine Learning, PMLR 162:15959-15975, 2022 (ICML 2022)
   [arXiv:2105.09557].

2. Liu Ziyin*, Kangqiao Liu*, Takashi Mori, and Masahito Ueda,
   Strength of Minibatch Noise in SGD,
   The 10th International Conference on Learning Representations (ICLR 2022)
   selected for Spotlight (5% of all submissions)
   [arXiv:2102.05375].

3. Kangqiao Liu*, Liu Ziyin*, and Masahito Ueda,
   Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent,
   Proceedings of the 38th International Conference on Machine Learning, PMLR 139:7045-7056, 2021 (ICML 2021)
   [arXiv:2012.03636].

4. Kangqiao Liu, Zongping Gong, and Masahito Ueda,
   Thermodynamic Uncertainty Relation for Arbitrary Initial States,
   Physical Review Letters 125, 140602 (2020)
   [arXiv:1912.11797].