Tianrui Song
Imperial College London. Exhibition Rd, South Kensington, London, SW7 2AZ
Filmed in 2023, Macao, China
Hi! My name is Tianrui Song. A first-year MRes in AIML (AI and Machine Learning) student at Computing Department of Imperial College London, supervised by Prof. Oana-Maria Camburu. Previously, I obtained my MPhil degree in AI at The Hong Kong University of Science and Technology (Guangzhou) under the supervision of Prof. Hao Liu and Prof. Jingshen Wu.
My recent research focuses on Large Language Models and Recommender Systems. Now I am working on LLM Alignment as my MRes project. Besides that, as a Vlogger, I am also interested in adapting LLMs for effective and efficient content creation (videos, films, movie scripts, novels, etc.). I hope my research can be applied to tangible, commercially viable projects that address the practical needs of people in real life.
news
| Mar 15, 2026 | Our paper “Mitigating Delivery Fraud and Path Manipulation in UAV-Based E-Commerce: A Fair Exchange Protocol” has been accepted to the IEEE TIFS! 🥳🎉 |
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| Nov 18, 2025 | 🥳 Received the AAAI 2026 Student Scholarship (1000💲 + 500💲)! See everyone in Singapore 🇸🇬! |
| Nov 08, 2025 | Our paper “Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models” is accepted by AAAI 2026! 🎊 🥳 |
| Sep 18, 2025 | Our paper “MM-Agent: LLMs as Agents for Real-world Mathematical Modeling Problems” has been accepted to the NeurIPS 2025! 🥳🎉 |
selected publications
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[NeurIPS2025] MM-Agent: LLM as Agents for Real-world Mathematical Modeling ProblemIn The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025 -
[AAAI2026] Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language ModelsIn Proceedings of the AAAI Conference on Artificial Intelligence, 2026
