Faculty Pls
Professor Lin-shan Lee
Lin-shan Lee is Emeritus Professor in the Department of Electrical Engineering at National Taiwan University and Principal Investigator of the Top-tier Artificial Intelligence Research Center.
A pioneering and authoritative scholar in artificial intelligence and speech recognition, he spearheaded the development of Mandarin speech technology by establishing the world’s first comprehensive Mandarin speech recognition and processing framework and creating the first full-scale Mandarin speech system. His contributions laid the technological foundation for Mandarin speech applications now widely embedded in smartphones and information services.
He is an Academician of Academia Sinica, an IEEE Fellow, and a recipient of the ISCA Medal for Scientific Achievement and the Presidential Science Prize. In 2018, Nature recognized him as a “Star of Science in East Asia” and a “Coding Pioneer.”
Professor Yung-Yu Chuang
Yung-Yu Chuang is Distinguished Professor in the Department of Computer Science and Information Engineering at National Taiwan University.
His research spans computer vision, computer graphics, and computational photography. He has published extensively in leading venues such as CVPR, ICCV, ECCV, and SIGGRAPH, and has served as Area Chair for major AI conferences including CVPR, ICCV, ECCV, NeurIPS, and ICLR, as well as on the editorial boards of IEEE TPAMI and IEEE TVCG.
His honors include the NSTC Ta-You Wu Memorial Award, the Academia Sinica Research Award for Junior Research Investigators, and the NSTC Distinguished Research Award. He also holds the Appier AI Chair Professorship and the CyberLink Perfect Chair Professorship.
Professor Hsuan-Tien Lin
Hsuan-Tien Lin is Professor in the Department of Computer Science and Information Engineering at National Taiwan University.
His research focuses on the theoretical foundations and practical applications of machine learning, aiming to bridge academia and industry. He co-authored the influential textbook Learning from Data and offers globally acclaimed Coursera courses, “Machine Learning Foundations” and “Machine Learning Techniques.” He previously served as Chief Data Scientist and Consultant at Appier, contributing to its successful IPO in Japan, and led National Taiwan University teams to six ACM KDD Cup championships.
He has received the NSTC Distinguished Research Award, the Ta-You Wu Memorial Award, and multiple teaching and mentoring excellence awards.
Professor Hung-yi Lee
Hung-yi Lee is Professor in the Department of Electrical Engineering at National Taiwan University, specializing in speech processing and natural language processing.
He is an ISCA Fellow and a member of the ISCA Board. His students have received Best Paper Awards at INTERSPEECH 2018 and SLT 2022. Recognized by CommonWealth Magazine as one of the influential figures shaping Taiwan’s AI future, he is also dedicated to public education through his deep learning YouTube channel, which has over 350,000 subscribers. His honors include the Ten Outstanding Young Persons of Taiwan and the Ta-You Wu Memorial Award.
Professor Shou-De Lin
Shou-De Lin is Professor in the Department of Computer Science and Information Engineering at National Taiwan University, with expertise in data mining and machine learning.
He has combined academic excellence with industry leadership, serving as Chief Machine Learning Scientist at Appier and leading his team to receive the 2020 Best Overall AI-driven Analytics Solution award from AI Breakthrough. He also led National Taiwan University teams to six ACM KDD Cup championships.
His international recognitions include the Google Research Award, the Microsoft Research Grant Award, and multiple U.S. AFOSR/AOARD Research Awards, in addition to the Ta-You Wu Memorial Award and the Pan Wen Yuan Foundation IoT Innovation Award.
Professor Yi-Hsuan Yang
Yi-Hsuan Yang is Professor in the Department of Electrical Engineering at National Taiwan University, specializing in music information retrieval and artificial intelligence.
From 2019 to 2023, he served as Chief Music Scientist at Taiwan AI Labs, leading the development of innovative models such as MidiNet, MuseGAN, and the Pop Music Transformer. He has published over 200 papers with more than 11,000 citations and has served as Associate Editor for IEEE Transactions on Multimedia and IEEE Transactions on Affective Computing. His distinctions include the Ta-You Wu Memorial Award and the IEEE ICME Multimedia Rising Stars Award.
Professor Wen-Huang Cheng
Wen-Huang Cheng is Distinguished Chair Professor in the Department of Computer Science and Information Engineering at National Taiwan University and Visiting Professor at KAIST.
His research focuses on multimedia content analysis, computer vision, and machine learning. In 2023, he was named an IEEE Fellow for his contributions to intelligent multimedia computing, becoming the youngest recipient in Taiwan in the past two decades.
His honors include the NVIDIA Academic Grant Program Award and the IEEE Consumer Electronics Magazine Best Paper Award, along with multiple distinguished engineering professorship awards.
Professor Chun-Yi Lee
Chun-Yi Lee is Professor in the Department of Computer Science and Information Engineering at National Taiwan University.
His research encompasses intelligent robotics, deep learning, and parallel computing, with publications in premier venues such as NeurIPS, ICML, ICLR, CVPR, and TPAMI, addressing topics including deep reinforcement learning and digital twins.
His teams have received awards in the NVIDIA AI at the Edge and Jetson Developer Challenges, and he maintains strong industry collaborations with MediaTek, Lite-On, and ITRI to promote technology transfer. He is a recipient of the NSTC Ta-You Wu Memorial Award.
Assistant Professor Shao-Hua Sun
Shao-Hua Sun is Assistant Professor in the Department of Electrical Engineering at National Taiwan University.
His research interests include artificial intelligence, machine learning, robot learning, reinforcement learning, and program synthesis. Since joining the university in 2022, his team has published over 20 papers in top-tier conferences such as NeurIPS, ICML, ICLR, CoRL, EMNLP, COLM, and EACL.
He has organized tutorials at NeurIPS 2024 and ACML 2023, as well as workshops at ICML, RLC, and CoRL 2025. He has been recognized as a Yushan Young Scholar and received the NSTC Ta-You Wu Memorial Award.