【專題演講】曾煜棋國家講座 大語言模型，左右不分
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演講日期 ：2026-03-24 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: When a robot enters an environment, the ability to perform 3D spatial reasoning is essential. We identify three ambiguities that commonly arise 3D-LLM: (1) confusion among multiple objects, (2) confusion about reference frame, and (3) confusion of left–right directionality. To address these spatial ambiguities, we develop both datasets and models to tackle the current limitations of large models in 3D spatial understanding. Toward these directions, we propose SDA-LLM, AlloEgo-VLM, and WiFi2Cap.
Speaker’s 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) for 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 NYCU 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), 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, 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 70.
Web link: https://sites.google.com/view/yctseng Web link: https://scholar.nycu.edu.tw/en/persons/yu-chee-tseng
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