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Our paper titled “Harnessing the Power of Single Cell Large Language Models with Parameter-Efficient Fine-Tuning Using scPEFT” is finally out in Nature Machine Intelligence! I would like to thank all co-authors for their contributions to this work. Check it out at link
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I am thrilled to share that our paper titled “Harnessing the Power of Single Cell Large Language Models with Parameter-Efficient Fine-Tuning Using scPEFT” has been accepted for publication in Nature Machine Intelligence!
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I just gave a talk about deep learning methods in single cell analyses to Shanghai Institute for Mathematics and Interdisciplinary Sciences
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I am delighted to be nominated as a candidate for Outstanding PhD Student in EECS at MU! The winner will be announced in early May.
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I am happy to accept the summer internship from Stower Institute to work in Computational Biology group. My role will involve surveying recent advancements in single cell Large Language Models and deep learning models across downstream tasks and datasets.