-
16
- Four professors from the Department of CS/AI have been awarded the Excellent Teaching Professor Award (2024-03-26)
- Four professors from the Department of CS/AI have been awarded the Excellent Teaching Professor Award Professor Bernd Burgstaller, Professor Youngseok Kim, Professor Dokyung Song, and Professor Sungjae Hwang, all from the Department of CS/AI at Convergence AI University, have been honored with the Excellent Teaching Professor Award. This accolade is bestowed based on semesterly course evaluations by students, underscoring the recognition of education's significance and the endeavor to elevate teaching standards. We extend our heartfelt gratitude to the professors for their dedication and offer sincere congratulations on their well-deserved recognition. The faculty members of the department strive to deliver top-notch lectures and are committed to ensuring student satisfaction.
- 첨단컴퓨팅학부 2025.03.20
-
15
- Professor Bong-shin Lee's Appointment (2024-03-08)
- Professor Bong-shin Lee has joined our department. Professor Bong-shin Lee is a world-renowned scholar in the field of human-computer interaction and data visualization. Before joining us, she worked as a Senior Researcher at Microsoft Research (MSR) in the United States. Her main research areas are HCI and data visualization. Visit related articles: https://cs.yonsei.ac.kr/bbs/board.php?bo_table=sub5_1&wr_id=418
- 첨단컴퓨팅학부 2025.03.20
-
14
- Associate Professor Albert No's Appointment (2024-03-08)
- Professor Albert No has joined our department. His main research areas include learning theory, information theory, privacy, diffusion generative models, DNA storage devices, and bioinformatics. Professor Albert No's homepage: https://albert-no.github.io/
- 첨단컴퓨팅학부 2025.03.20
-
13
- Assistant Professor Young-woon Lee's Appointment (2024-03-08)
- Professor Young-woon Lee has joined our department. His main research areas are reinforcement learning, robot learning, and machine learning. Professor Young-woon Lee's homepage: https://youngwoon.github.io/
- 첨단컴퓨팅학부 2025.03.20
-
12
- Large Language Models(in 2023) - Hyung Won Chung PhD, OpenAI (November 23, 2023)
- Abstract There is one unique aspect of large language models (LLMs): larger models exhibit abilities that were not present in the smaller models. These emergent abilities have far-reaching consequences in how we should work in the field of AI. I will share some of my observations on the implications of scaling and emergent abilities. After that, I will introduce multiple stages involved in the current generations of LLM training: pre-training and post-training (including instruction fine-tuning and RLHF). Bio Hyung Won is a research scientist at OpenAI ChatGPT team. He has worked on various aspects of Large Language Models: pre-training, instruction fine-tuning, reinforcement learning with human feedback, reasoning, multilinguality, parallelism strategies, etc. Before OpenAI he spent 3.5 years at Google Brain. Some of the notable work includes scaling Flan paper (Flan-T5, Flan-PaLM) and T5X, the training framework used to train the PaLM language model. He has participated in open source projects such as Flan-T5, switch transformer, UL2. Before Google, he received a PhD from MIT where he worked on renewable energy and clean water systems. Link: https://hwchung27.github.io
- 첨단컴퓨팅학부 2025.03.20
-
11
- Yonsei CS, 40 Year Anniversary (October 19, 2023)
- 첨단컴퓨팅학부 2025.03.20
-
10
- SEMINAR | AI X Music (September 26, 2023)
- SEMINAR | AI X Music September 26, 2023 (Tuesday) 14:00~15:00 Generating Music with AI: How to create controlled, high quality music TaeHyun KIM 인공지능 음악 스타트업 포자랩스 부대표 Pozalabs America Inc. CEO
- 첨단컴퓨팅학부 2025.03.20
-
9
- Yonsei-U of Maryland Joint Workshop (June 9, 2023)
- 게시글 내용 [Pic 1] Prof. Seon Joo Kim(Yonsei) / Topic: Towards online video understanding [Pic 2] Prof. Abhinav Shrivastava(UMD) / Topic: Computer vision research at the University of Maryland, and Revisiting Object-attribute Compositional Learning [Pic 3] Prof. Jonghyun Choi(Yonsei) / Topic: Visual recognition in practical scenarios [Pic 4] Prof. Tom Goldstein(UMD) / Topic: Data security issues in generative models [Pic 5] Prof. Noseong Park(Yonsei) / Topic: GREAD: Graph Neural Reaction-Diffusion Networks [Pic 6] Prof. Larry S. Davis(UMD) / Topic: A brief history of computer vision at the University of Maryland and a discussion of research in CV and AI at Amazon Fashion
- 첨단컴퓨팅학부 2025.03.20
-
8
- 2023-1 CS Graduation Exhibition (June 2, 2023)
- 게시글 내용
- 첨단컴퓨팅학부 2025.03.20
-
7
- International Workshop on Data Science and Learning in Real-world Environments (May 19, 2023)
- 게시글 내용
- 첨단컴퓨팅학부 2025.03.20

