Prof. Hung-yi Lee

About Prof. Hung-yi Lee

Professor Hung-yi Lee's research aims to reduce the amount of labeled data required for machines to learn human language. He has proposed innovative self-supervised learning methods for speech, enabling deep learning models to learn from large amounts of unlabeled speech data. Two of his related papers have been cited over 300 times, inspiring teams worldwide to pursue further research. He has organized workshops at top international conferences such as NeurIPS, AAAI, and ACL and led an international team in short-term collaborative research at Johns Hopkins University (JHU). Additionally, he served as a guest editor for a special issue on self-supervised learning in speech in the prestigious IEEE JSTSP journal.

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Professor Lee has delivered tutorials at top conferences, including a tutorial at ICASSP 2022, which became one of the conference’s most quickly filled sessions among its 16 tutorials. He also led an international team to establish the SUPERB (Speech Processing Universal PERformance Benchmark) for evaluating self-supervised learning in speech, hosting a challenge that drew participation from researchers at over 40 research institutions globally, including major tech companies like Microsoft and Meta. The papers related to SUPERB have nearly 500 citations, with one nominated for the Best Paper Award at SLT 2022, one of the top three conferences in the speech field, and another winning the Best Paper Award at SLT 2022.

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He has authored two review papers with his international team, one on self-supervised learning in speech and another on meta-learning techniques in natural language processing. Professor Lee received the Outstanding Young Member Award from the Taiwanese Computer Society in 2017, the Excellent Young Electrical Engineer Award from the Chinese Institute of Electrical Engineering in 2018, the Young Scholar Innovation Award from the Foundation for the Advancement of Outstanding Scholarship in 2019, the Wu Ta-You Memorial Award from the Ministry of Science and Technology in 2019, and was named one of the Ten Outstanding Young Persons of the Republic of China in 2021.

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He has made his course videos publicly available on YouTube, where they have amassed over 13 million views and gained 170,000 subscribers.