[CV]
lisun [at] bu [dot] edu
I am an Applied Scientist at AWS AI Labs. Prior to that, I received my Ph.D. degree in Computer Engineering from Boston University, advised by Prof. Kayhan Batmanghelich. Previously, I received my M.S. degree in Intelligent Systems from University of Pittsburgh, and B.S. degree in Bioinformatics from Southern University of Science and Technology, China, where I did my undergraduate thesis with Prof. Wei Chen.
My research interests lie in self-supervised learning and multi-modal learning.
* indicates equal contribution
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding
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Can Contrastive Learning Avoid Shortcut Solutions?
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Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
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MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images
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Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis
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DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Lung CT Images
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Brain Tumor Segmentation and Survival Prediction Using Multimodal MRI Scans with Deep Learning
Frontiers in Neuroscience /
Paper
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Knowledge Distillation via Constrained Variational Inference
AAAI 2022 /
Paper
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