Yang Sun
Senior Postdoctoral Researcher in Advanced Machine Learning and Image Analysis
My research focuses on Machine Learning and Medical Image Analysis.
Since 2020, I have been a postdoctoral researcher at the Big Data Institute, University of Oxford. Within the Oxford-Novartis (Ox-NVS) collaboration, my work is centered on developing and applying advanced machine learning algorithms for the accurate contrast-agnostic segmentation and analysis of various lesion types in the Magnetic Resonance Images (MRIs) of patients with Multiple Sclerosis (MS).
Recent publications
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MT-CooL: Multi-Task Cooperative Learning via Flat Minima Searching
Journal article
Wu F. et al, (2024), IEEE Transactions on Medical Imaging
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Prognostic factors for worsening and improvement in multiple sclerosis using a multi-state model
Journal article
NICHOLS T. et al, (2024), Multiple Sclerosis
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U-Shaped Transformer with Frequency-Band Aware Attention for Speech Enhancement
Journal article
Li Y. et al, (2023), IEEE/ACM Transactions on Audio Speech and Language Processing, 31, 1511 - 1521
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Convolutional fusion network for monaural speech enhancement.
Journal article
Xian Y. et al, (2021), Neural networks : the official journal of the International Neural Network Society, 143, 97 - 107
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A Multi-Scale Feature Recalibration Network for End-to-End Single Channel Speech Enhancement
Journal article
Xian Y. et al, (2021), IEEE Journal on Selected Topics in Signal Processing, 15, 143 - 155