About
I am a PhD student at the Department of Computer Science, George Mason University (GMU), advised by Prof. Lannan (Lisa) Luo.
Prior to this, I earned a Bachelor degree in Computer Science from Northeastern University, advised by Prof. Yanfeng Zhang.
My research mainly focuses on software and systems security. My reserach interests include software analysis and verification, vulnerability analysis, malware analysis, programming languages, software engineering, and deep learning.
News
Completed a 9-month internship at CelerData (Powered by StarRocks), where I worked as Database Engine R&D Engineer. I contributed to StarRock's open-source ecosystem and led the integration of Arrow Flight SQL.
Joined CelerData as a Database Engine R&D Engineer (SaaS Team), focusing on next-generation OLAP database optimization and ecosystem tooling.
Interned at Kuaishou Tech as a Infrastructure R&D Engineer.
Interned at Meituan as a Resource Scheduling Backend Engineer.
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.