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- DLI lab student Hyungjoo Chae from the Department of Artificial Intelligence publishes research results ... (2024-04-09)
- DLI lab student Hyungjoo Chae from the Department of Artificial Intelligence publishes research results on Large Language Models that surpasses Google DeepMind In April 2024, Hyungjoo Chae, a DLI lab student supervised by Professor Jinyoung Yeo, pre-published his latest research on Arxiv, drawing significant attention for its reasoning capabilities that far exceed those of Google DeepMind's "Self-Discover" framework. Notably, this research was introduced by famous Twitter influencers in the AI field, attracting intense interest with approximately 35,000 views. The research focuses on the ability of large language models (LLMs) to develop and utilize algorithms to solve problems, proposing a new methodology. The joint research team of Professor Jinyoung Yeo and Professor Youngjae Yu proved that this allows language models to solve complex problems more effectively. Moreover, the proposed methodology indicates a significant advantage by demonstrating cost-effective reasoning where massive and small language models work together. Link: https://huggingface.co/papers/2404.02575 https://twitter.com/_akhaliq/status/1775743181885186214
- 첨단컴퓨팅학부 2025.03.20
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- Professor Baek Jong-duk's research team has been selected for the Korea Research Foundation's STEAM ... (2023-05-22)
- Professor Baek Jong-duk's research team has been selected for the Korea Research Foundation's STEAM Research Project (Bridge Convergence Research and Development) Professor Baek Jong-duk's research team has been finally selected for the Korea Research Foundation's STEAM Research Project. From April 2023 to December 2026 (3 years and 9 months), they will receive a total research grant of 3.025 billion Korean Won and lead the research team as the head of the 'High-Precision Robotic Surgery Image Guidance Technology AI Convergence Research Group.' In this research, the robotic surgery company, GoYoung Technology, the neurosurgery team at Seoul National University Hospital led by Professor Pi Ji-hoon, and the AI Graduate School at KAIST led by Professor Shim Hyun-jeong will participate as collaborative research institutions. Through this project, the research team will receive comprehensive support from technology development to commercialization, and in particular, during Phase 2 (January 2025 to December 2026), Professor Baek Jong-duk's academic startup, Barnes Imaging Co., Ltd., will participate in technology enhancement and joint development for business implementation
- 첨단컴퓨팅학부 2025.03.20
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- A paper by Prof. Song’s team accepted to USENIX Security ‘23 (2023-05-22)
- The research group led by Prof. Song has their paper accepted to appear in one of the top-tier security conferences, the USENIX Security Symposium 2023. The accepted paper titled 'ReUSB: Replay-Guided USB Driver Fuzzing' is co-authored by Jisoo Jang and Minsuk Kang, students in the department of Computer Science advised by Prof. Song. In this paper, they proposed a technique that combines Record-and-Replay with Fuzzing to discover bugs in deep kernel driver code, leveraging the fact that Record-and-Replay can trigger deep kernel driver code paths. They consider the timing and concurrency of inputs to improve the accuracy of replay, and perform dynamic scheduling of inputs, demonstrating the ability to uncover previously unknown vulnerabilities in deep driver code paths. In particular, they discovered a total of 15 undisclosed vulnerabilities in the Linux kernel, including CVE-2022-3628 and CVE-2023-1380, two Common Vulnerabilities and Exposures (CVE) numbers assigned to security vulnerabilities. They also took the lead in patching these vulnerabilities, ensuring that all vulnerabilities are patched in the latest Linux kernel. Jisoo Jang, Minsuk Kang, and Dokyung Song, “ReUSB: Replay-Guided USB Driver Fuzzing”, 32nd USENIX Security Symposium (USENIX Security), August 2023. (To appear.)
- 첨단컴퓨팅학부 2025.03.20
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- The Department of Artificial Intelligence has won three awards at the 29th Samsung Human-Tech Paper Awards (2023-04-24)
- The Department of Artificial Intelligence has won three awards at the 29th Samsung Human-Tech Paper Awards The Department of Artificial Intelligence at the College of Computing won a total of three awards, including the special award for the most awards per professor, at the 29th Samsung Human-Tech Paper Awards ceremony held on February 20th. In the "Computer Science & Engineering" category, Kwon Minki and Jeong Jaeseok, both of whom are students in the integrated master's and doctoral program (supervised by Professor Eo Young-jeong), won the gold and encouragement awards, respectively, while Cho Min-joo and Guksungji, both of whom are master's degree students (supervised by Professor Park No-sung), also won the gold and encouragement awards, respectively. Kwon Minki and Jeong Jaeseok, who won the gold award, discovered a new latent space of diffusion models and proposed a method for generating various real images using this space without retraining the model, demonstrating that it works on a wide range of datasets without being limited by the architecture. The discovery of the new latent space opens up a wide range of possibilities for research and practical applications. Cho Min-joo and Guksungji proposed a method for reinterpreting the Hawkes process based on differential equations. In particular, they extended the interpretation of discrete event occurrence times in deep learning-based Hawkes processes to a continuous method, demonstrating that the model can effectively handle irregular event data while improving performance. The Samsung Human-Tech Paper Awards have been held every year since 1994 by Samsung Electronics to discover and foster outstanding human resources in the field of science and technology. This year, 118 excellent papers were selected from a total of 1,972 papers. The "Computer Science & Engineering" category had the highest number of submissions with 323 papers, of which 8 were awarded.
- 첨단컴퓨팅학부 2025.03.20
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- Professor Seon Joo Kim appointed as an Associate Editor of IEEE TPAMI (2023-04-24)
- Professor Seon Joo Kim appointed as an Associate Editor of IEEE TPAMI Professor Seon Joo Kim joined the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Editorial Board as an Associate Editor. IEEE TPAMI is one of the top journals in Computer Science (Artificial Intelligence) with an impact factor of 24.31. Professor Seon Joo Kim will serve in the editorial board for the next 3 years. Professor Seon Joo Kim is also serving in the Editorial Board of International Journal of Computer Vision (IJCV), one of the top journals in computer vision.
- 첨단컴퓨팅학부 2025.03.20
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- Han Min-a, a postdoctoral researcher in Professor Baek Jong-deok's lab, has been finally selected as a ... (2023-04-24)
- Han Min-a, a postdoctoral researcher in Professor Baek Jong-deok's lab, has been finally selected as a Sejong Science Fellowship Yonsei University's postdoctoral researcher Han Mina has been selected as the final recipient for the 2023 Sejong Science Fellowship in the field of computer science and artificial intelligence applications, funded by the Ministry of Science and ICT's individual basic research project. The Sejong Science Fellowship is a program that encourages young scientists, including postdoctoral researchers, to immerse themselves in research and become core scientific and technological talents by supporting them with approximately KRW 500 million of research funds over a total of five years. Han Mina received her undergraduate degree from Yonsei University and completed her master's and doctoral degrees in the laboratory of Professor Baek Jong-duk. In particular, she has published a total of nine papers in SCI-level international journals as the first author, including the paper "Evaluation of tumor detection accuracy in 3D CT images," which was selected as an Editor's Choice in 2018 in the top medical physics journal. Through this Sejong Science Fellowship, Han Mina will conduct research on "Development of AI-based CT image processing technology for reducing patient radiation exposure." The research project aims to develop image quality improvement technology that enables low-dose CT scanning while maintaining diagnostic performance and to solve the problem of securing learning data by developing data generation methods for medical AI training.
- 첨단컴퓨팅학부 2025.03.20
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- The Medical Artificial Intelligence Laboratory (led by Professor Jong-Dae Baek) has been selected as ... (2023-04-24)
- The Medical Artificial Intelligence Laboratory (led by Professor Jong-Dae Baek) has been selected as the Editor's Choice in the world's top journal for medical physics research. Professor Baek Jong-duk's medical artificial intelligence research lab has been selected as an Editor's Choice in the world's top journal in the field of medical physics, Medical Physics, for a paper they published in December 2022. Medical Physics is a highly respected academic journal in the field of medical physics, and it selects the top four papers (one for each research area) as Editor's Choice for free access. In particular, among the Medical Physics papers published by domestic researchers in the last three years, this is the only one to be selected as Editor's Choice, which shows its significant academic significance. The paper titled "A streak artifact reduction algorithm in sparse-view CT using a self-supervised neural representation" proposes a neural representation method based on neural radiance field (NeRF) and an image processing algorithm that utilizes it to effectively reduce image distortion in sparse-view sampling CT images. The proposed method can learn from a single input shooting data and shows better image quality and generalization performance than existing image-based deep learning methods that use multiple training data, as verified through various simulations and real-world data. Through this, the paper suggests a new direction for personalized and precise medical image restoration using artificial intelligence technology. This technology is expected to play a significant role in the future revenue visualization of Barnes Imaging, a medical artificial intelligence company founded by Professor Baek's research team. The research was supported by the Basic Research Laboratory and Mid-Career Researcher Support Programs of the National Research Foundation of Korea.
- 첨단컴퓨팅학부 2025.03.20
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- Professor Young-Seok Kim's research team has had one paper accepted at the top-tier academic conference ... (2023-04-24)
- Professor Young-Seok Kim's research team has had one paper accepted at the top-tier academic conference in the field of databases, SIGMOD 2023 Professor Young-Seok Kim's research team has announced that they will present one paper at the 2023 ACM SIGMOD International Conference on Management of Data (SIGMOD 2023), the most prestigious academic conference in the field of databases. The paper is co-authored by Chaemin Lim, a student in the Department of Artificial Intelligence, and Seongyeon Park, Suhyun Lee, Jinwoo Choi, and Jounghoo Lee, students in the Department of Computer Science. The title of the accepted paper is "Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs". The paper proposes using the processing-in-memory (PIM) feature of dual in-line memory module (DIMM) hardware to accelerate join operations, which are one of the core operations in relational databases. While previous studies assumed hardware features that differ from actual DIMM hardware and verified their proposed techniques using simulators, this study is the world's first to empirically demonstrate that PIM can improve join operation performance using actual DIMM hardware. The results of this research are expected to be presented at SIGMOD 2023, which will be held in Seattle, USA in June 2023.
- 첨단컴퓨팅학부 2025.03.20