Changmin Yu
Postdoc in computational neuroscience at CBL, Cambridge
About Me
Hi, I am Changmin Yu (于昌民). I am currently a postdoc in computational neuroscience at Computational and Biological Learning Lab in the engineering department at University of Cambridge, advised by Máté Lengyel. Previously, I did my PhD in computational neuroscience and machine learning at UCL as a DeepMind scholar, supervised by Neil Burgess and Maneesh Sahani.
My research focuses on normative modelling of hippocampal system with probabilistic inference. I am also interested in deep generative models and reinforcement learning. I have previously undertaken industrial placements in Optiver, Meta, Microsoft Research, and Huawei, and was a visiting PhD student in Samuel Gershman's lab. Prior to PhD, I studied mathematics at Imperial College and Cambridge.
In my spare time, I enjoy hiking, playing football and tennis.
Selected Publications/Preprints
Under review, 2026
Under review, 2025
International Conference on Learning Representations (ICLR), 2025
Advances in Neural Information Processing Systems (NeurIPS), 2023
Advances in Neural Information Processing Systems (NeurIPS), 2022
International Conference on Learning Representations (ICLR), 2021
News
- Jan 2025 Our paper "Discovering temporally compositional neural manifolds with switching infinite GPFA" was accepted as a Spotlight at ICLR 2025.
- Oct 2024 I was awarded a Trainee Professional Development Award for Society for Neuroscience (SfN) 2024.
- Jan 2024 Started postdoc position at CBL, University of Cambridge, working with Máté Lengyel.
- Nov 2023 I successfully defended my PhD thesis "Hippocampus-Inspired Representation Learning for Artificial Agents" with minor corrections, thanks to my examiners Peter Dayan and Andrew Saxe!
- Sep 2023 Our paper "Successor-Predecessor Intrinsic Exploration" was accepted at NeurIPS 2023.