Dr. Yi-Hsuan (Eric) Yang is a Full Professor in the Department of Electrical Engineering at National Taiwan University (NTU), where he holds the NTU-Fubon Distinguished Chair Professorship. He received the Ph.D. degree in Communication Engineering from NTU in 2010. His research focuses on music information retrieval, machine learning, and generative AI, with a particular emphasis on structured music representation. From 2011 to 2023, he was with the Research Center for IT Innovation, Academia Sinica, and from 2019 to 2023, he served as Chief Music Scientist at Taiwan AI Labs.
Dr. Yang is a recipient of the 2011 IEEE Signal Processing Society (SPS) Young Author Best Paper Award and the 2014 Ta-You Wu Memorial Research Award, and the 2019 IEEE ICME Multimedia Rising Star Award. His research group has developed several widely-cited models for music generation, including MuseGAN, REMI, Pop Music Transformer, and MuseMorphose. He is the lead author of the monograph Music Emotion Recognition (CRC Press, 2011), a foundational text in affective audio analysis. He has served as an Associate Editor for IEEE Transactions on Multimedia and IEEE Transactions on Affective Computing, receiving the T-MM Best Associate Editor Service Award in 2018. Dr. Yang has authored over 200 publications with over 13,000 citations and is a Senior Member of the IEEE.