About me

Hi! I am MPhil student at City University of Hong Kong, supervised by Prof. Liu Chen. My interests are:

1. Machine learning theory, with a particular focus on robustness, privacy, and the security of machine learning models.

2. Applications of large language models (LLMs) in FinTech, especially towards enabling more intelligent and reliable investment decision-making. This work is conducted under the supervision and collaboration of Prof. Zhang Yuan at SUFE.

Previously, I gained experience mainly in computer vision and model acceleration in industry.

Outside of academia, I have a keen interest in aviation ✈️ and photography 📷. Additionally, I am an experienced investor in the U.S. and Hong Kong stock markets, including derivatives.

Education Experiences

• 12/2024 - 12/2026, City University of Hong Kong, MPhil, Computer Science
• 09/2020 - 07/2024, Northeastern University, Bachelor, Information Management and Information System

Industry Experiences

• 05/2024 - 01/2025: DJI, Machine Learning Algorithm Engineer Intern
• 10/2023 - 05/2024: ASML, Algorithm Intern
• 07/2023 - 10/2024: XGRIDS, Algorithm Research Intern

Preprints and Publications

• Haochen Luo, Ho Tin Ko, Jiandong Chen, David Sun, Yuan Zhang, Chen Liu. “AlphaBench: Benchmarking Large Language Models in Formulaic Alpha Factor Mining”
• Luo, Haochen, Yuan Zhang, and Chen Liu. “EFS: Evolutionary Factor Searching for Sparse Portfolio Optimization Using Large Language Models.” arXiv preprint arXiv:2507.17211 (2025).
• Zhong, Xuyang, Haochen Luo, and Chen Liu. “Dualoptim: Enhancing efficacy and stability in machine unlearning with dual optimizers.” Neural Information Processing Systems (NeurIPS) 2025.

Service

• Reviewer of AAAI 2026
• Reviewer of ICLR 2026

Contact Me

I am seeking collaborators, and I’m particularly looking for undergraduate students with strong coding abilities to build powerful investment agents. If you are interested in my work or quantitative investment, please feel free to contact me!