Application of Neural Ordinary Differential Equations for ITER Burning Plasma Dynamics
Zefang Liu, Weston M. Stacey
arXiv preprint arXiv:2408.14404, 2024
[Paper] [Code]
About Me
Hello! I’m a Data Scientist at JPMorgan Chase, specializing in machine learning and natural language processing. With a Ph.D. in Nuclear Engineering from Georgia Tech, I bring an interdisciplinary approach to solving complex problems. My work focuses on applying advanced machine learning techniques across various domains, including cybersecurity and plasma physics.
Work Experience
- Applied AI ML Associate Sr, JPMorgan Chase, 2023 - Present
- Quantitative Research Associate, JPMorgan Chase, 2022 - 2023
- Applied AI & Machine Learning Summer Associate, JPMorgan Chase, 2021
Education
- Ph.D. in Nuclear Engineering, Georgia Institute of Technology, 2022
- M.S. in Computational Science and Engineering, Georgia Institute of Technology, 2021
- M.S. in Aerospace Engineering, Georgia Institute of Technology, 2018
- B.E. in Energy and Power Engineering, Shandong University, 2016
Publications
Application of Neural Ordinary Differential Equations for Tokamak Plasma Dynamics Analysis
Zefang Liu, Weston M. Stacey
ICLR 2024 Workshop on AI4DifferentialEquations in Science, 2024
[Paper] [Poster] [Code]CyberBench: A Multi-Task Benchmark for Evaluating Large Language Models in Cybersecurity
Zefang Liu, Jialei Shi, John F. Buford
AAAI 2024 Workshop on Artificial Intelligence for Cyber Security, 2024
[Paper] [Slides]SecQA: A Concise Question-Answering Dataset for Evaluating Large Language Models in Computer Security
Zefang Liu
arXiv preprint arXiv:2312.15838, 2023
[Paper] [Code] [Data]Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches
Zefang Liu, John F. Buford
Conference on Applied Machine Learning in Information Security 2023, 2023
[Paper] [Slides]A Multi-Region Multi-Timescale Burning Plasma Dynamics Model for Tokamaks
Zefang Liu, Weston M. Stacey
64th Annual Meeting of the APS Division of Plasma Physics, 2022
[Paper] [Slides] [Code]Deep Reinforcement Learning based Group Recommender System
Zefang Liu, Shuran Wen, Yinzhu Quan
arXiv preprint arXiv:2106.06900, 2021
[Paper] [Slides] [Code]Yelp Review Rating Prediction: Machine Learning and Deep Learning Models
Zefang Liu
arXiv preprint arXiv:2012.06690, 2020
[Paper] [Code]