YI-LIN SUNG
North Carolina, United States
Summary
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SeniorYi-lin Sung is a research scientist focused on multimodal deep learning, parameter-efficient methods, and continual learning, with eight years of experience spanning industry research roles at Google, Meta, and Microsoft. Currently at Google building agents for Workspace, she has a track record of internships and short-term research appointments advancing VLM critics, efficient text-to-image generation, and model merging. She publishes in top AI venues and is completing a PhD in Computer Science at UNC Chapel Hill, bringing strong academic rigor to applied problems. Originally trained in communication engineering and chemical engineering in Taiwan, she combines cross-disciplinary thinking with practical ML engineering to tackle data- and compute-efficient multimodal systems.
8 years of coding experience
Github Skills (69)
transformers10
python10
classifier10
deep-learning10
mnist10
gemma10
glm10
pretrain10
rl-environment10
multimodal10
audio10
ai10
transformer10
nlp10
artificial-intelligence10
Programming languages (5)
Github contributions (5)
ylsung/TetrisBattle-RL
Sep 2019 - Feb 2020
Training RL agent to master Facebook TetrisBattle--PyTorch implementation
Contributions:17 commits, 2 PRs, 16 pushes in 5 months
pytorch
varunnair18/FISH
Jun 2021 - Jan 2022
Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).
Contributions:15 commits, 2 PRs, 3 pushes in 6 months
neural-network
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