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个人简介
I am a Ph.D. candidate in Computer Science at MIT supervised by Dr. James Glass. My research interests lie in the intersection of machine learning and natural language, with special focus on methods for learning representations from raw unannotated speech. My goal is to build spoken language technology using minimal human-annotated data. In the past, I have interned at Google and Microsoft working on various topcis, including speech synthesis within Google Perception, text summarization within Google Brain, and spoken language understanding within Microsoft Cognitive Services Research.
I received a S.M. in Computer Science from MIT in 2019 and a B.S. in Computer Science from National Taiwan University in 2016. When I was an undergrad, I worked with Prof. Hsuan-Tien Lin on a wide range of machine learning problems such as active learning, cost-sensitive learning, and multi-label learning. I also worked with Prof. Lin-Shan Lee and Prof. Hung-Yi Lee on audio representation learning and machine reading comprehension.
I received a S.M. in Computer Science from MIT in 2019 and a B.S. in Computer Science from National Taiwan University in 2016. When I was an undergrad, I worked with Prof. Hsuan-Tien Lin on a wide range of machine learning problems such as active learning, cost-sensitive learning, and multi-label learning. I also worked with Prof. Lin-Shan Lee and Prof. Hung-Yi Lee on audio representation learning and machine reading comprehension.
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Seamless Communication,Loïc Barrault,Yu-An Chung, Mariano Coria Meglioli,David Dale,Ning Dong, Mark Duppenthaler,Paul-Ambroise Duquenne,Brian Ellis,Hady Elsahar, Justin Haaheim, John Hoffman,
CoRR (2023)
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Seamless Communication,Loïc Barrault,Yu-An Chung, Mariano Cora Meglioli,David Dale,Ning Dong,Paul-Ambroise Duquenne,Hady Elsahar,Hongyu Gong,Kevin Heffernan, John Hoffman, Christopher Klaiber,
CoRR (2023)
58TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2020) (2020): 2353-2358
INTERSPEECH (2019): 146-150
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