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Professor Bong-shin Lee's Appointment (2024-03-08)
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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
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첨단컴퓨팅공학부
2025.01.14
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15
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Associate Professor Albert No's Appointment (2024-03-08)
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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/
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첨단컴퓨팅공학부
2025.01.14
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14
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Assistant Professor Young-woon Lee's Appointment (2024-03-08)
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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/
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첨단컴퓨팅공학부
2025.01.14
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13
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[February 26, 2024] Commencement 2024, College of Computing (2024-03-05)
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On February 26, 2024, the second College of Computing graduation ceremony took place at the main auditorium of Yonsei University's Engineering Hall 3, with a large turnout brightening up the occasion.
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첨단컴퓨팅공학부
2025.01.14
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12
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[November 23, 2023] Large Language Models(in 2023) - Hyung Won Chung PhD, OpenAI (2023-11-28)
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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
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첨단컴퓨팅공학부
2025.01.14
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11
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[October 19, 2023] Yonsei CS, 40 Year Anniversary (2023-10-24)
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첨단컴퓨팅공학부
2025.01.14
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10
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[September 26, 2023] SEMINAR | AI X Music (2023-09-27)
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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
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첨단컴퓨팅공학부
2025.01.14
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9
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[June 9, 2023] Yonsei-U of Maryland Joint Workshop (2023-06-12)
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[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
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첨단컴퓨팅공학부
2025.01.14
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8
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[June 2, 2023] 2023-1 CS Graduation Exhibition (2023-06-05)
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첨단컴퓨팅공학부
2025.01.14
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7
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[May 19, 2023] International Workshop on Data Science and Learning in Real-world Environments (2023-05-22)
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첨단컴퓨팅공학부
2025.01.14
