Yirong Shen 沈毅荣
Welcome to my website :)
Department of Electrical and Electronic Engineering
Imperial College London
London, United Kingdom
I am currently a PhD student at Imperial College London, where I am fortunate to be supervised by Prof. Cong Ling. I study information theory and learning theory, focusing on Shannon-theoretic foundations of machine learning and privacy. My research explores how information-theoretic principles can be used to better understand and improve large language models and modern generative models.
I received my Master’s degree from the University of Sydney, where I was fortunate to be supervised by Prof. Yonghui Li.
Before my PhD, I largely squandered my odyssey years on CS:GO — perhaps not the most wisely spent years. ;( Check out my FACEIT profile.
news
| Apr 28, 2026 | Our paper “Rényi diffusion models” has been accepted by ICML 2026! |
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| Mar 28, 2026 | Our paper “Smoothing Linear Codes by Rényi Divergence and Applications to Security Reduction” has been accepted by IEEE ISIT 2026! |
| Sep 28, 2025 | Finished a rewarding two-month visiting stay at Shanghai Jiao Tong University, hosted by Prof. Jia Wang. I learned a great deal and enjoyed many stimulating discussions on generative modeling and information theory. |
| Sep 24, 2025 | Our paper “Information Theoretic Learning for Diffusion Models with Warm Start” has been accepted by NeurIPS 2025! |
| Apr 10, 2025 | Our paper “Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise” has been accepted by IEEE ISIT 2025! |
selected publications
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Information Theoretic Learning for Diffusion Models with Warm StartIn The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025 -
Generalized Score Matching: Bridging f-Divergence and Statistical Estimation Under Correlated NoiseIn 2025 IEEE International Symposium on Information Theory (ISIT), 2025