Haoyan (Ryan) Luo
PhD, Machine Learning, University of Cambridge
hl678 [AT] cam.ac.uk
Bio
I am a PhD student in Machine Learning at the University of Cambridge, where I am affiliated with Darwin College and the Department of Computer Science. Prior to this, I completed my MRes in Machine Learning at Imperial College London, supervised by Prof. Lucia Specia. I obtained my B.Eng. degree in Computer Science from The Chinese University of Hong Kong.
I have worked as an AI Associate at J.P. Morgan, designing and implementing LLM-based solutions for real-world financial applications. I previously interned at Microsoft Research Asia, Shanghai AI Lab, Tencent and Seasun Entertainment.
📢 2025 update: open to advise student projects on interp research. For Cambridge students, please see this link.
I'm interested in interpreting language models and, thus, controlling them:
- Scaling concept-based interpretability: identify, characterize, and intervene on internal representations from language models. [xLLM] [MoD] [LoPE]
- Applied machine learning / agentic systems: designing efficient, automated agentic pipelines for real-world deployment at scale. [OpenFE] [ActiveAD] [TIDE]
Research
Industry-Aligned Granular Topic Modeling PDF
Sae Young Moon, Myeongjun Erik Jang, Haoyan Luo, Chunyang Xiao, Antonios Georgiadis, Fran Silavong
arXiv
Explainability in Large Language Models: Pathways to Refinement and Alignment PDF Poster
Haoyan Luo
MRes Thesis
🔎 From Understanding to Utilization: A Survey on Explainability for Large Language Models PDF
Haoyan Luo, Lucia Specia
arXiv
Industry-Aligned Granular Topic Modeling PDF
Sae Young Moon, Myeongjun Erik Jang, Haoyan Luo, Chunyang Xiao, Antonios Georgiadis, Fran Silavong
arXiv
Explainability in Large Language Models: Pathways to Refinement and Alignment PDF Poster
Haoyan Luo
MRes Thesis
🔎 From Understanding to Utilization: A Survey on Explainability for Large Language Models PDF
Haoyan Luo, Lucia Specia
arXiv
OpenFE: Automated Feature Generation With Expert-level Performance
PDF
Code
Tianping Zhang, Zheyu Zhang, Haoyan Luo, Fengyuan Liu, Wei Cao, Jian Li
Fortieth International Conference on Machine Learning (ICML 2023)
ActiveAD: Enhancing Anomaly Detection in Tabular Data through Active Learning Strategies PDF Code
Haoyan Luo, Xiaofan Gui, Wei Cao, Jiang Bian
arXiv
🗺️ Steering the Networked Temporal Point Processes via Controlling the Network Graph PDF Code
Haoyan Luo, Shuang Li
Open-source Project
🛠️ Deep-Learning-Lookup: Deep Learning Algorithms and Utils in Python Code
Haoyan Luo
Open-source Project
Misc.
During my undergraduate studies, I served as a student coordinator at Shaw College and was a host in the Communication and Public Relations Office. I led TEDxCUHKSZ as president (check out our annual events!) during my undergraduate years, promoting our slogan: "ideas worth spreading" :p In my free time, I'm a passionate piano and cello enthusiast. I also enjoy playing football, basketball, and tennis. Go Warriors and KTBFFH💙