Yubei Chen


My research is at the intersection of computational neuroscience and deep unsupervised (self-supervised) learning, enhancing our understanding of the computational principles governing unsupervised representation learning in both brains and machines, and reshaping our insights into natural signal statistics.

I am actively looking for Graduate/Undergraduate students interested in unsupervised learning, generative models, and world models. Please email me your CV if you are interested in working with me.

news

Feb26, 2025

Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning, is accepted at the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)! :sparkle: Paper coming soon!

Jan22, 2025

URLOST: Unsupervised Representation Learning without Stationarity or Topology, is accepted at the International Conference on Learning Representations (ICLR), 2025! :sparkle: Paper

Jan17, 2025

Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communications, is accepted at the 2025 IEEE International Conference on Communications (ICC)! :sparkle: Paper

Oct9, 2024
Aug13, 2024

PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro With In Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout, is accepted at IEEE Journal of Solid-State Circuits (JSSC)! :sparkle: Paper

Jul3, 2024

Pose-aware self-supervised learning with viewpoint trajectory regularization, is accepted at European Conference on Computer Vision (ECCV) as an Oral presentation! :sparkle: Paper

Jun24, 2024

Insight: A Multi-modal Diagnostic Pipeline Using LLMs for Ocular Surface Disease Diagnosis, is accepted at International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)! :sparkle: Paper

Nov20, 2023

Unsupervised learning of structured representations via closed-loop transcription, is accepted at Conference on Parsimony and Learning (CPAL)! :sparkle: Paper

Nov14, 2023

Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning, is accepted at Transactions on Machine Learning Research (TMLR)! :sparkle: Paper

Jun21, 2023

I have given an open lecture on unsupervised representation learning at TechBeat.net.