연구진 1 페이지 | 서울대학교AI연구원(AIIS)

사람들

연구진

17

이민수 연구교수

  • 연구실/전공분야바이오인텔리전스 랩
  • 연구분야(AI 원천기술)Learning & Reasoning, Data Intelligence, Human-AI Interaction, Robotics & Action
  • 연구분야(X+AI)Bio, Brain, Humanities/Social Sciences

대표논문

A. 대표 논문
- From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent, G.-H. Lee, M.-J. Kim, M. Lee, B.-T. Zhang, In Proceedings of the 2022 IEEE International Conference on Robotics and Automation (ICRA 2022), May 2022
- Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning, K. Kim, M. W. Lee, Y. Kim, J.-H. Ryu, M. Lee, B.-T. Zhang, Advances in Neural Information Processing Systems 34 (NeurIPS 2021), December 2021.
- Toward a Human-Level Video Understanding Intelligence, Y. -J. Heo, M. Lee, S. Choi, W. -S. Choi, M. Shin, M. Jung, J. -K. Ryu, B.-T. Zhang, Proceedings of the 2021 AAAI 2021 Fall Symposium (AAAI FSS 2021), 2021
- Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents, J. -S. Park, K. -Y. Park, H. -S. Oh, G. -H. LEE, M. LEE, Y. -K. Lee, B. -T. Zhang, 23rd ACM International Conference on Multimodal Interaction (ICMI2021), October 2021.
- DramaQA: Character-Centered Video Story Understanding with Hierarchical QA, S.-H. Choi, K.-W. On, Y.-J Heo, A.-J. Seo, Y.-W. Jang, M. Lee and B.-T. Zhang, Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), February 2021.

B. 대표 연구과제
- 스스로 불확실성을 자각하며 질문하면서 성장하는 에이전트 기술 개발, 과학기술정보통신부/사람중심인공지능핵심원천기술개발사업, 2022.04.01~2026.12.31
- 새로운 문제를 해결하는 자기주도 인공지능 기술 개발, 과학기술정보통신부/사람중심인공지능핵심원천기술개발사업, 2022.04.01~2026.12.31
- 실세계 응용을 위한 목표 지향적인 자기주도 강화학습 기술 연구, 과학기술정보통신부/중견연구자지원사업, 2021.3.01~2024.2.29
- 인간을 물리적 상호작용을 통해 지원하는 로봇을 위한 가상현실 환경 인간시연을 모방하는 학습 기술 개발, 산업통상자원부/국제공동기술개발사업 2018.12.01~2022.03.31
- 비디오 튜링 테스트(Video Turing Test): 인간 수준의 비디오 이해 지능 및 검증 기술 개발, 과학기술정보통신부/혁신성장동력프로젝트, 2017.7.01~2021.12.31
16

강수진 연구조교수

  • 연구실/전공분야
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

15

CHUN ASAPH Y 책임연구원

  • 연구실/전공분야
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

14

김인영 선임연구원

  • 연구실/전공분야Bioinformatics
  • 연구분야(AI 원천기술)Learning & Reasoning
  • 연구분야(X+AI)Bio

대표논문

○ 과제
- 창의도전연구기반지원과제 (2021.06-2023.05)
연구책임자
· 자폐 진단용 바이오마커 개발을 위한 멀티 오믹스 분석 시스템 개발
http://cb.snu.ac.kr
- 혁신성장 선도 고급연구인재 성장지원 과제 (KIURI) (2020.09-2021.08)
참여연구원
· 단백질 서열 임베딩을 이용한 Covid-19 감염 환자에서의 BCR 레퍼토리 분석
https://www.biorxiv.org/content/10.1101/2021.08.02.454701v3
○ 논문
- Kim I, Lee S, Kim Y, Namkoong H, Kim S*. ""A probabilistic model for pathway-guided gene set selection"" 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021 Dec 10, [link]
- Kim I, Choi S, Kim S*. ""BRCA-Pathway: a structural integration and visualization system of TCGA breast cancer data on KEGG pathways"". BMC bioinformatics 19.1 (2018): 63-72. [link]
- Ahn H, Jung I, Chae H, Oh M, Kim I, Kim S*. ""IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data"" 2021 IEEE International Conference on Big Data (Big Data), 2021 Dec 15, [link]
- Lee AC, Lee Y, Choi A, Lee H, Shin K, Lee H, Kim J, Ryu H, Kim H, Ryu S, Lee S, Cheun J, Yoo D, Lee S, Choi H, Ryu T, Yeom H, Kim N, Noh J, Lee Y, Kim I, Bae S, Kim J, Lee W, Kim O, Jung Y, Kim C, Song S, Choi Y, Chung J, Kim B, Han W, Kwon S*. ""Spatial epitranscriptomics reveals A-to-I editome specific to cancer stem cell microniches"" Nature Communications 13.1 (2022): 1-12. [link]
○ 특허출원
- B 세포 수용체 단백질 서열을 이용한 면역 상태 진단 (출원번호10-2021-0100690)"
13

정지오 선임연구원

  • 연구실/전공분야Vision, Modeling, Strategy AI, DAQ
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Data Intelligence, Autonomous Driving, Robotics & Action
  • 연구분야(X+AI)Humanities/Social Sciences, Energy, Manufacturing, Strategy AI

대표논문

12

박동원 연수연구원

  • 연구실/전공분야지능형 컴퓨터 이미징 연구소
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Robotics & Action
  • 연구분야(X+AI)Medicine, Manufacturing

대표논문

ICCV 2023, CVPR 2023, ECCV 2020 (Spotlight), ICRA 2020a, ICRA 2020b, CVPR-Workshops 2018 (Oral)
[1] Hae-Chang Lee*, Dongwon Park*, Won Gi Jeong*, Se Young Chun, ”Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors,” ICCV 2023.
[2] Dongwon Park, Se Young Chun, ”All-in-one Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations,” CVPR 2023.
[3] Dongwon Park*, Dong Un Kang*, Se Young Chun** , ”Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training,” ECCV 2020(Spotlight, top 5% of submissions).
[4] Dongwon Park*, Yong Hyeok Seo*, Se Young Chun** , A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp Detection,” ICRA 2020. [5] Dongwon Park, Yong Hyeok Seo, Se Young Chun** , Real-Time, Highly Accurate Robotic Grasp Detection using Fully Convolutional Neural Network with Rotation Ensemble Module,” ICRA 2020.
[6] Dongwon Park* 1 , Kwangyoung Kim*, Se Young Chun**2 , Efficient Module Based Single Image Super-Resolution for Multiple Problems,” CVPR Workshops (Oral presentation), 2018
11

서경희 연수연구원

  • 연구실/전공분야국제 팬데믹 인텔리전스 센터
  • 연구분야(AI 원천기술)Learning & Reasoning, Data Intelligence
  • 연구분야(X+AI)Urban Study, Urban Spatial Analysis, Urban Health, Econometrics

대표논문

10

윤성훈 연수연구원

  • 연구실/전공분야Health system and policy
  • 연구분야(AI 원천기술)Learning & Reasoning, Human-AI Interaction
  • 연구분야(X+AI)Self-care support, Health service coordination, Population-based payment

대표논문

9

이충근 연수연구원

  • 연구실/전공분야자율로봇연구실
  • 연구분야(AI 원천기술)Vision & Perception, Autonomous Driving, Robotics & Action
  • 연구분야(X+AI)Manufacturing

대표논문

Chungkeun Lee, Changhyeon Kim, Pyojin Kim, and H. Jin Kim, "Scale-Aware Visual-Inertial Depth Estimation and Odometry Using Monocular Self-Supervised Learning," IEEE Access, 2023.
Sangil Lee*, Chungkeun Lee*, Haram Kim, and H. Jin Kim, "Realtime Object-aware Monocular Depth Estimation in Onboard Systems," International Journal of Control, Automation and Systems (IJCAS), 2021. (* are equally contributed.)
Chungkeun Lee, Hoseong Seo, and H. Jin Kim, "Position-based monocular visual servoing of an unknown target using online self-supervised learning," 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
Taewan Kim, Chungkeun Lee, Hoseong Seo, Seungwon Choi, Wonchul Kim, H. Jin Kim, "Vision-based target tracking for a skid-steer vehicle using guided policy search with field-of-view constraint," 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.
Wonchul Kim, Chungkeun Lee, and H. Jin Kim. "Learning and generalization of dynamic movement primitives by hierarchical deep reinforcement learning from demonstration," 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.
8

이준기 연수연구원

  • 연구실/전공분야바이오인텔리전스랩 / 강화학습, 설명가능한 인공지능, 로보틱스, 인간로봇상호작용
  • 연구분야(AI 원천기술)Learning & Reasoning,Human-AI Interaction,Language & Cognition,Robotics & Action
  • 연구분야(X+AI)Logistics,Manufacturing

대표논문

Jun Ki Lee, and Michael L Littman. Explaining Reinforcement Learning Agents by Policy Comparison. In 5th Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM) 2022.

Sam Witty, Jun Ki Lee, Emma Tosch, Akanksha Atrey, Kaleigh Clary, Michael L Littman, and David Jensen. Measuring and characterizing generalization in deep reinforcement learning Applied AI Letters 2021.
Guan Wang, Carl Trimbach, Jun Ki Lee,  Mark K Ho, and Michael L Littman. Teaching a robot tasks of arbitrary complexity via human feedback. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction 2020.
Matt Cooper, Jun Ki Lee, Jacob Beck, Joshua D Fishman, Michael Gillett, Zoë Papakipos, Aaron Zhang, Jerome Ramos, Aansh Shah, and Michael L Littman. Stackelberg punishment and bully-proofing autonomous vehicles. In International Conference on Social Robotics 2019.
7

천휘경 연수연구원

  • 연구실/전공분야
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

6

강기천 연구원

  • 연구실/전공분야바이오지능연구실
  • 연구분야(AI 원천기술)Learning & Reasoning,Human-AI Interaction,Robotics & Action
  • 연구분야(X+AI)

대표논문

-Gi-Cheon Kang, Sungdong Kim, Jin-Hwa Kim, Donghyun Kwak, Byoung-Tak Zhang. The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
-Gi-Cheon Kang, Junseok Park, Hwaran Lee, Byoung-Tak Zhang, Jin-Hwa Kim. Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer. In Findings of Empirical Methods in Natural Language Processing (EMNLP Findings), 2021.
-Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang. Dual Attention Networks for Visual Reference Resolution in Visual Dialog. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
5

배민경 연구원

  • 연구실/전공분야보건학(보건정책)
  • 연구분야(AI 원천기술)AI Platform,Language & Cognition,Data Intelligence
  • 연구분야(X+AI)Medicine

대표논문

- 북한의 코로나19 대응 평가와 보건분야 남북한 국제협력 전략 연구
- 신·변종 감염병 대응을 위한 역학 모형의 융합개발과 고도화:  펜데믹 대응전략의 영향 평가 최적화 모형과 사회·경제·보건의학 요소의 통합적 접근
4

강재웅 객원연구원

  • 연구실/전공분야
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

3

김성수 객원연구원

  • 연구실/전공분야
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

2

조은서 객원연구원

  • 연구실/전공분야
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

1

주윤정 객원연구원

  • 연구실/전공분야Genomics and Neural Network Intelligence for Healthcare
  • 연구분야(AI 원천기술)Brain & Mind, Human-AI Interaction, AI Platform, Language & Cognition, Data Intelligence
  • 연구분야(X+AI)Medicine, Bio, Genomics

대표논문

* Park Junghoon, Lee Eunji, Cho Gyeongcheol, Hwang Heungsun, Kim Bogyeom, Kim Gakyung, Joo Yoonjung Yoonie, Cha Jiook (2023) Gene-Environment Pathways to Cognitive Intelligence and Psychotic-Like Experiences in Children eLife 12:RP88117. https://doi.org/10.7554/eLife.88117.2
* Joo YY, Moon S, Wang H, et al. Association of Genome-Wide Polygenic Scores for Multiple Psychiatric and Common Traits in Preadolescent Youths at Risk of Suicide. JAMA Netw Open. 2022;5(2):e2148585. doi:10.1001/jamanetworkopen.2021.48585

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