【專題演講】曾煜棋國家講座 多模態資料與深度學習
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演講日期 ：2024-03-19 備註：本次演講由資電學院主辦，請同學帶手機進入現場使用逢甲APP刷卡簽到
Abstract: Data has been recognized as a crucial issue in data science. Data scientists are facing challenges from zero, small, to big data. Handling all these data volume issues require designing new solutions. Furthermore, the new challenge is that we are facing multi-modal data that are heterogeneous in types. We will address issues and solutions about data: (i) multi-modality, (ii) croudsourcing, (iii) use of small data, and (iv) handling of big data. We will present several solutions in these aspects.
Speaker Bio: Yu-Chee Tseng received his Ph.D. in Computer and Information Science from the Ohio State University in January of 1994. He served as Chairman (2005-2009) and as Dean (2011-2017), College of Computer Science, National Yang Ming Chiao Tung University (NYCU), Taiwan. He is founding Dean of College of AI, NYCU. Currently, he is Director of Pervasive AI Research Labs, NYCU. Dr. Tseng has been awarded as NCTU Chair Professor (2011-present) and Y. Z. Hsu Scientific Chair Professor (2012-2013). He received Outstanding Research Award (National Science Council, 2001, 2003, and 2009), Academic Award (Ministry of Education), Best Paper Awards (ICPP 2003, iThings 2014, APNOMS 2015, and IoTaaS 2017), Elite I. T. Award (2004), and Distinguished Alumnus Award (Ohio State University, 2005), Y. Z. Hsu Scientific Paper Award (2009), TWAS Prize (2018), and National Chair Professorship (2020-2023). His research interests include mobile computing, wireless communication, IoT, and AI. Dr. Tseng is an IEEE Fellow. He served on the editorial boards of IEEE Trans. on Vehicular Technology, IEEE Trans. on Mobile Computing, IEEE Trans. on Parallel and Distributed Systems, and IEEE Internet of Things Journal. His citation h-index is 68.
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