About
I am a PhD student in the Department of AI & Data Science within the School of Computing and Data Science at the University of Hong Kong (HKU). I am primarily supervised by Prof. Dragan Gašević, with co-supervision from Prof. Jionghao Lin and Prof. Youjie Chen.
Prior to this, I obtained a Bachelor of Science degree with the First Class Honours and the University Medal in Computer Science from the University of Sydney (USYD).
My current research focuses on ...
Selected Publications
View All →Algorithmic Complexity of Tensor Network Contractions in Many-Body Localization
Jiale Liu, Ada Lovelace†
Physical Review E
Complexity analysis of tensor network contractions in MBL systems, identifying a complexity phase transition and proposing an adaptive algorithm.
Numerical Stability Analysis of High-Order Runge-Kutta Methods in Quantum Dynamics
Jiale Liu, Sarah O'Connor†
Journal of Computational Physics
A rigorous analysis of numerical stability boundaries for high-order Runge-Kutta integrators in the context of time-dependent quantum mechanics.
Monte Carlo Simulations of Phase Transitions in 2D Ising Models on Non-Euclidean Lattices
Charlie Brown, Jiale Liu†
2023 International Conference on Computational Physics (ICCP)
Monte Carlo study revealing mean-field-like phase transitions and critical exponent deviations for Ising models on hyperbolic non-Euclidean lattices.
News
Our work has been accepted by a prestigious journal 🎉
Starting my PhD at the University of Hong Kong
