CV
You can also download my CV here!
Xingyue Huang
Tel: (44) 7579902135
Email: xingyue.huang@cs.ox.ac.uk
Website: https://hxyscotthuang.github.io/
Education
- University of Oxford
DPhil in Computer Science (09/2023 – Present), Oxford, United Kingdom
Supervised by Prof. Michael Bronstein and Dr. İsmail Ceylan - University of Oxford
MMathCompsci in Mathematics and Computer Science (09/2019 – 06/2023), Oxford, United Kingdom
Graduated with Distinction
Professional Experience
- Snap Inc.
Research Intern, User Modeling & Personalization (UMaP) Research Team (06/2025 – 10/2025), Bellevue, United States- Focused on language modeling research.
- Researched sparse attention to alleviate attention dispersion for long-context understanding of LLM.
- Investigated methods for adapting large language models to generate embeddings for retrieval tasks.
- Eigent-AI
Research Intern (10/2024 – 06/2025), London, United Kingdom- Contributed to the open-source multi-agent framework, CAMEL-AI, which reached first place in Github Trending.
- Led the data generation project to distill mathematical tool-use capabilities with SFT via backtranslation.
- Contributed to Loong, focused on generating verifiable reinforcement learning workflows.
- Alibaba Group
Machine Learning Engineer Intern (07/2021 – 09/2021), Hangzhou, China- Developed an object detection system for video subtitle-detection with Faster-RCNN model.
- Conducted semantic analysis on OCR-detected titles to assess the quality of video descriptions.
- Improved accuracy of object detection and classification by 10% and were incorporated into production.
Skills
- Python
- PyTorch
- Tensorflow
- Triton (Huge Recommendation! For a faster python code!)
- MATLAB
- Haskell
- Scala
- LaTeX