CV

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Xingyue Huang
Tel: (44) 7579 902135
Email: xingyue.huang@cs.ox.ac.uk
Website: https://hxyscotthuang.github.io/

Education

University of Oxford
DPhil in Computer Science (2023 – 2026), Oxford, United Kingdom
Advisors: Prof. Michael Bronstein (DeepMind Chair of AI), Prof. Ismail Ceylan
University of Oxford
MMathCompSci in Mathematics and Computer Science (2019 – 2023), Oxford, United Kingdom
Graduated with Distinction

Snap Inc.
Research Intern (UMaP) (06/2025 – 10/2025), Bellevue, United States
- Developed Threshold Differential Attention (TDA), a sink-free, ultra-sparse attention mechanism for long-context LLMs, achieving >99% exact zeros while matching Softmax accuracy on QA benchmarks.
- Demonstrated long-context robustness on the SCROLLS benchmark and passkey-retrieval stress tests, where TDA outperformed Softmax by ~2.5× at 4k-token contexts.
- Co-authored Hierarchical Token Prepending, improving long-document embeddings in decoder-only LLMs via block-level summary tokens, with consistent gains across 11 retrieval datasets and 30 embedding benchmarks.
Eigent-AI
Research Intern (10/2024 – 06/2025), London, United Kingdom
- Built a tool-use synthetic data generation pipeline producing 20k verified execution traces for CAMEL-AI.
- Used back-translated tool trajectories for supervised fine-tuning, improving math benchmark accuracy by 5%.
- Contributed to the Loong verifier-driven RL framework for long chain-of-thought synthesis.
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.

Systems & Infrastructure: CUDA, Triton, LLM architecture design, multi-agent systems, post-training
ML & Data: PyTorch, HuggingFace, CAMEL-AI, SQL, DuckDB, pandas, torch-geometric

NeurIPS 2025 Top Reviewer · ICLR 2026 Reviewer · NeurIPS 2025 SEA Workshop Organizer
Talks: Tutorial on Graph Foundation Models (LoG 2025) · Relational Hypergraphs (LoG 2024 Oxford Meetup)