[CITI-IIS-ISS ]2025-1 Joint Seminar & Coffee Time
- Time2025-07-28 (Mon.) 14:00 ~ 2025-07-28 (Mon.) 15:00
- Location2F Recreation Hall at ISS
Abstract
To foster greater inter-institue collaboration and scholarly exchange, we are pleased to announce the launch of a new collaborative platform with CITI and ISS, effective this year.
【Seminar Poster & Info Click here】
Short talk by CITI：
Speaker：Dr. Shie-Yuan Wang (Rsearch Fellow)
Language：Mandarin
Topic： Network Digital Twin: Introduction and Challenges
Short talk by IIS:
Speaker: Dr. Ti-Rong Wu (Assistant Research Fellow)
Language: Mandarin
Topic: Deep Reinforcement Learning in Game AI and Its Extended Applications
Abstract: Deep Reinforcement Learning (DRL) has achieved significant advancements in various domains, such as game-playing, robotics, and natural language processing. Among these fields, game-playing serve as an important testing ground for DRL algorithms due to their controllable and accessible environments that stand in contrast to the complex real-world problems. In this talk, I will briefly introduce the concepts of DRL, discuss DRL advances in game-playing, and some extended applications.
Short talk by ISS:
Speaker: Dr. Su-Yun Huang
Language: 中文
Topic: Clustering Curves and Profiles: Scalable Methods for Functional Big Data
This platform will facilitate joint activities, such as networking events and seminars. The inaugural joint seminars will feature a series of short talks, each lasting approximately 15-20 minutes.
We cordially invite all PIs, research staff, postdoctoral fellows, students, and RAs to participate. Refreshments will be provided.
【Seminar Poster & Info Click here】
Short talk by CITI：
Speaker：Dr. Shie-Yuan Wang (Rsearch Fellow)
Language：Mandarin
Topic： Network Digital Twin: Introduction and Challenges
Short talk by IIS:
Speaker: Dr. Ti-Rong Wu (Assistant Research Fellow)
Language: Mandarin
Topic: Deep Reinforcement Learning in Game AI and Its Extended Applications
Abstract: Deep Reinforcement Learning (DRL) has achieved significant advancements in various domains, such as game-playing, robotics, and natural language processing. Among these fields, game-playing serve as an important testing ground for DRL algorithms due to their controllable and accessible environments that stand in contrast to the complex real-world problems. In this talk, I will briefly introduce the concepts of DRL, discuss DRL advances in game-playing, and some extended applications.
Short talk by ISS:
Speaker: Dr. Su-Yun Huang
Language: 中文
Topic: Clustering Curves and Profiles: Scalable Methods for Functional Big Data