겸무교수 1 페이지 | 서울대학교AI연구원(AIIS)

PEOPLE

Affiliated Faculty

Colleges / Departments
Research Areas (Core AI)
Research Areas (X+AI)
0

Lee, Jae W. Department of Computer Science and Engineering

  • Research LabArchitecture and Code Optimization Lab
  • Research Area (Core AI)AI Platform, AI Chip
  • Research Area (X+AI)

PUBLICATIONS

Tae Jun Ham, Seonghak Kim, and Sung Jun Jung, Young H. Oh, Yeonhong Park, Yoon Ho Song, Junghoon Park, Sanghee Lee, Kyoung Park, Jae W. Lee, and Deog-Kyoon Jeong, "A3: Accelerating Neural Network Attention Mechanism with Approximation", 26th IEEE International Symposium on High Performance Computer Architecture (HPCA), San Diego, California, February 2020.
Shine Kim, Jonghyun Bae, Hakbeom Jang, Wenjing Jin, Jeonghun Gong, Seungyeon Lee, Tae Jun Ham, and Jae W. Lee, "SSDStreamer: Specializing I/O Stack for Large-Scale Machine Learning", IEEE Micro, September/October 2019.
Young H. Oh, Quan Quan, Daeyeon Kim, Seonghak Kim, Jun Heo, Jaeyoung Jang, Sung Jun Jung, and Jae W. Lee, "A Portable, Automatic Data Quantizer for Deep Neural Networks", IEEE International Conference on Parallel Architectures and Compilation Techniques (PACT-27), Limassol, Cyprus, November 2018.
Channoh Kim, Jaehyeok Kim, Sungmin Kim, Dooyoung Kim, Namho Kim, Gitae Na, Young H. Oh, Hyeon Gyu Cho, and Jae W. Lee, "Typed Architectures: Architectural Support for Lightweight Scripting", 22nd ACM Architectural Support for Programming Languages and Operating Systems (ASPLOS), Xi'an, China, April 2017.
Doo Young Kim, Jin Min Kim, Hakbeom Jang, Jinkyu Jeong, and Jae W. Lee, "A Neural Network Accelerator for Mobile Application Processors", IEEE Transactions on Consumer Electronics, 61(4), November 2015.
NAND 플래시 기반 심층신경망 학습 시스템, 연구재단, 2020.3-2023.2
뉴럴 프로세싱 시스템 연구, 삼성전자, 2017.11-2020.10
Beyond Limit, 삼성전자, 2018.11-2021.10
0

Jinho Park Department of Korean Language and Literature

  • Research LabKorean Language and Literature
  • Research Area (Core AI)
  • Research Area (X+AI)

PUBLICATIONS

0

Kwak, Nojun Department of Intelligence and Information

  • Research LabMachine Intelligence & Pattern Recognition Lab
  • Research Area (Core AI)Learning & Reasoning, Vision & Perception, Multi-modal Learning
  • Research Area (X+AI)

PUBLICATIONS

Jisoo Jeong, Seungeui Lee, Jeesoo Kim and Nojun Kwak, "Consistency-based Semi-supervised Learning for Object detection", Thirty-third Conference on Neural Information Processing Systems (NeurIPS2019), Vancouver, Canada, Dec. 2019.
Simyung Chang, SeongUk Park, John Yang and Nojun Kwak, "Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation, International Conference on Computer Vision (ICCV2019), Seoul, Korea, Oct. 2019
Simyung Chang, John Yang, Jaeseok Choi and Nojun Kwak, "Genetic-Gated Networks for Deep Reinforcement Learning", Thirty-second Conference on Neural Information Processing Systems (NeurIPS2018), Montreal, Canada, Dec. 2018.
Jangho Kim, SeoungUK Park and Nojun Kwak, "Paraphrasing Complex Network: Network Compression via Factor Transfer", Thirty-second Conference on Neural Information Processing Systems (NeurIPS2018), Montreal, Canada, Dec. 2018.
Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee and Nojun Kwak, "Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams", The Thirtieth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2018), Salt Lake City, UT, June 2018.
Thinking Machine: 다중 감각간 관계 지식을 활용한 통합 사고 신경망 연구, 약 18억, 한국연구재단, 2017.11 - 2020.12
0

Lee, Jongho Department of Electrical and Computer Engineering

  • Research LabLaboratory for the Imaging Science and Technology
  • Research Area (Core AI)Learning & Reasoning, Vision & Perception
  • Research Area (X+AI)Bio, Brain, Medicine

PUBLICATIONS

Shin D, Ji S, Lee D, Lee J, Oh SH, Lee J*,
Deep Reinforcement Learning Designed RF Pulse: DeepRF_SLR
arXiv. 2019 Dec;1912.09015.
Jung W*, Steffen Bollmann*, Lee J*
[REVIEW] Overview of quantitative susceptibility mapping using deep learning – Current status, challenges and opportunities
arXiv. 2019 Dec;1912.05410.
Jung W, Yoon J, Ji S, Choi JY, Kim JM, Nam Y, Kim EY, Lee J*
Exploring linearity of deep neural network trained QSM: QSMnet+
Neuroimage 2020 in press
Lee J, Lee D, Choi JY, Shin D, Shin HG, Lee J*
Artificial neural network for myelin water imaging
Magn Res Med 2020 83(5):1875-1883
Yoon J, Gong E, Chatnuntawech I, Bilgic B, Lee J, Jung W, Ko J, Jung H, Setsompop K, Zaharchuk G, Kim EY, Pauly J, Lee J*
Quantitative susceptibility mapping using deep neural network: QSMnet
NeuroImage 2018 179:199-206
0

Lee, Youngki Department of Computer Science and Engineering

  • Research LabHuman-Centered Computing Systems Lab
  • Research Area (Core AI)AI Platform, Human-AI Interaction
  • Research Area (X+AI)Humanities/Social Sciences, Commerce, Healthcare, Education

PUBLICATIONS

0

Min-hwan Oh Department of Data Science

  • Research LabDecision-Making Algorithms, Reinforcement Learning
  • Research Area (Core AI)Learning & Reasoning
  • Research Area (X+AI)

PUBLICATIONS

Combinatorial Neural Bandits. Taehyun Hwang, Kyuwook Chai, Min-hwan Oh, International Conference on Machine Learning (ICML), 2023

Model-based Offline Reinforcement Learning with Count-based Conservatism. Byeongchan Kim, Min-hwan Oh, International Conference on Machine Learning (ICML), 2023

Model-based Reinforcement Learning with Multinomial Logistic Function Approximation. Taehyun Hwang, Min-hwan Oh, AAAI Conference on Artificial Intelligence (AAAI), 2023

Sparsity-Agnostic Lasso Bandit. Min-hwan Oh, Garud Iyengar, Assaf Zeevi, International Conference on Machine Learning (ICML), 2021

Thompson Sampling for Multinomial Logit Contextual Bandits. Min-hwan Oh, Garud Iyengar Neural Information Processing Systems (NeurIPS), 2019
0

Choi, Junwon Department of Electrical and Computer Engineering

  • Research LabSignal Processing & Artificial-intelligence (SPA) Laboratory
  • Research Area (Core AI)Robotics & Action,Autonomous Driving
  • Research Area (X+AI)

PUBLICATIONS

0

Lee, Juyong Department of Molecular Medicine and Biopharmaceutical Sciences

  • Research LabChemistry
  • Research Area (Core AI)
  • Research Area (X+AI)AI Drug Discovery

PUBLICATIONS

0

Kim, Ayoung Department of Mechanical Engineering

  • Research LabRobust Perception for Mobile robotics lab
  • Research Area (Core AI)Vision & Perception,Autonomous Driving,Robotics & Action
  • Research Area (X+AI)Manufacturing

PUBLICATIONS

Giseop Kim, Sunwook Choi and Ayoung Kim, Scan Context++: Structural Place Recognition Robust to Rotation and Lateral Variations in Urban Environments. IEEE Transactions on Robotics, 2021.
Joowan Kim, Younggun Cho and Ayoung Kim, Proactive Camera Attribute Control using Bayesian Optimization for Illumination-Resilient Visual Navigation. IEEE Transactions on Robotics, 36(4):1256-1271, 2020
Jinyong Jeong, Younggun Cho, Young-Sik Shin, Hyunchul Roh and Ayoung Kim, Complex Urban Dataset with Multi-level Sensors from Highly Diverse Urban Environments. International Journal of Robotics Research, 38(6):642-657, 2019.
0

Gweon, Gagene Department of Intelligence and Information

  • Research LabCognitive Computing
  • Research Area (Core AI)
  • Research Area (X+AI)

PUBLICATIONS

0

Jung, Sungkyu Department of Statistics

  • Research LabStatistical Learning Theory Lab.
  • Research Area (Core AI)Learning & Reasoning, Data Intelligence
  • Research Area (X+AI)Bio, Humanities/Social Sciences, Brain, Medicine

PUBLICATIONS

Sungkyu Jung, Myung Hee Lee and Jeongyoun Ahn (2018). “On the number of principal components in high dimensions,” Biometrika 105(2), 389-402.
Sungkyu Jung, Jeongyoun Ahn, and Yongho Jeon (2019). “Penalized Orthogonal Iteration for Sparse Estimation of Generalized Eigenvalue Problem” Journal of Computational and Graphical Statistics. 28(3) 710-721.
Gen Li and Sungkyu Jung (2017). “Incorporating Covariates into Integrated Factor Analysis of Multi-View Data,” Biometrics 73 (4), 1433-1442.
Byungwon Kim, Stephan Huckemann, Joern Schulz, and Sungkyu Jung (2019). “Small sphere distributions for directional data with application to medical imaging”, Scandinavian Journal of Statistics. 46(4) 1047-1071.
0

Chang, Hyeshik Department of Biological Sciences

  • Research LabBioinformaticsm, Genomics
  • Research Area (Core AI)
  • Research Area (X+AI)Bio

PUBLICATIONS

0

Cha, Jiwook Department of Psychology

  • Research LabSNU Connectome Lab
  • Research Area (Core AI)Learning & Reasoning, Brain & Mind
  • Research Area (X+AI)Neuroscience, Bio, Humanities/Social Sciences, Medicine,Brain

PUBLICATIONS

"The sexual brain, genes, and cognition: A machine-predicted brain sex score explains individual differences in cognitive intelligence and genetic influence in young children." Human Brain Mapping
"Association of Genome-wide Polygenic Scores for Multiple Psychiatric and Common Traits Identify Preadolescent Youth with Risk for Suicide." JAMA Network Open
"Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth." Human Brain Mapping
"Machine learning prediction of incidence of Alzheimer’s disease using large-scale administrative health data." NPJ Digital Medicine
"Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes." Neuroimage-Clinical
"Associations between brain structure and connectivity in infants and exposure to selective serotonin reuptake inhibitors during pregnancy. " JAMA pediatrics
"The Effects of Obstructive Sleep Apnea Syndrome on the Dentate Gyrus and Learning and Memory in Children.'" The Journal of Neuroscience
"Clinically anxious individuals show disrupted feedback between inferior frontal gyrus and prefrontal-limbic control circuit."  Journal of Neuroscience
"Neural correlates of aggression in medication-naive children with ADHD: multivariate analysis of morphometry and tractography."  Neuropsychopharmacology
"Hyper-reactive human ventral tegmental area and aberrant mesocorticolimbic connectivity in overgeneralization of fear in generalized anxiety disorder."  Journal of Neuroscience
"Circuit-wide structural and functional measures predict ventromedial prefrontal cortex fear generalization: implications for generalized anxiety disorder."  Journal of Neuroscience
247

Kisuk Kang Department of Materials Science and Engineering

  • Research LabAdvanced Energy Materials Lab
  • Research Area (Core AI)
  • Research Area (X+AI)AI for predicting chemical reactivity of organic materials

PUBLICATIONS

246

Kang, U Department of Computer Science and Engineering

  • Research LabData Mining Lab
  • Research Area (Core AI)Learning & Reasoning, AI Platform, Data Intelligence
  • Research Area (X+AI)Finance, Commerce, Manufacturing

PUBLICATIONS

Jaemin Yoo, Minyong Cho, Taebum Kim, and U Kang, Knowledge Extraction with No Observable Data, NeurIPS 2019, Vancouver, Canada.
Jaemin Yoo, Hyunsik Jeon, and U Kang, Belief Propagation Network for Hard Inductive Semi-supervised Learning, 28th International Joint Conference on Artificial Intelligence (IJCAI) 2019, Macao, China.
Junghwan Kim, Haekyu Park, Ji-Eun Lee, and U Kang, SIDE: Representation Learning in Signed Directed Networks, The Web Conference (WWW) 2018, Lyon, France.
Minji Yoon, Woojeong Jin, and U Kang, Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees, The Web Conference (WWW) 2018, Lyon, France.
Jun-gi Jang, Dongjin Choi, Jinhong Jung, and U Kang, Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range, ACM International Conference on Information and Knowledge Management (CIKM) 2018, Lingotto, Turin, Italy.
초고속 텐서 스트림 분석을 통한 실시간 경량 다차원 데이터 마이닝, 과학기술정보통신부, 2019 - 2022
시청이력기반 콘텐츠 추천 기술, SK Telecom, 2018
Real-time Anomaly Detection in High-Speed Time-evolving Graphs, AOARD, 2017 - 2018
245

Kang, Jae Seung Department of Medicine

  • Research LabAnatomy
  • Research Area (Core AI)Human-AI Interaction
  • Research Area (X+AI)Brain, Medicine, Pharma

PUBLICATIONS

244

Pilsung Kang Department of Industrial Engineering

  • Research LabIndustrial Data Analytics, Multimodal Artificial Intelligence (Time-Series, Natural Language, Vision)
  • Research Area (Core AI)Data Intelligence
  • Research Area (X+AI)

PUBLICATIONS

243

Kang, Hyun-koo Department of Architecture and Architecture Engineering

  • Research LabHigh-Performance Structural Engineering Lab
  • Research Area (Core AI)
  • Research Area (X+AI)AI structure discovery

PUBLICATIONS

242

Kang, Hyeong Jin Department of Medicine

  • Research LabPediatrics
  • Research Area (Core AI)
  • Research Area (X+AI)

PUBLICATIONS

241

Ko, Kilkon Department of Public Administration

  • Research LabQuantitative Analysis, Research Methods, Policy Analysis, Decision Making Theory, Chinese Administrative Reform and Corruption
  • Research Area (Core AI)Data Intelligence, Public Data Analytics and Visualization
  • Research Area (X+AI)Humanities/Social Sciences

PUBLICATIONS

Kilkon Ko (2020), Multivariate Analysis, Munwoo Publisher, forthcoming
Kilkon Ko (2019), Categorical Data Analysis, Munwoo Publisher
Kilkon Ko (2019), Data Analysis and Visualization, Parkyoung Publisher
질문기반 미세먼지 빅데이터분석, 한국환경정책평가원, 2019.3~2019.12.
질문기반 기후변화 빅데이터분석, 한국환경정책평가원, 2020.3~2020.12.
텍스트 분석을 통한 고용정책 프레임 분석, 서울대학교 빅데이터연구소, 2019.1~2019.12
240

SeungHwan Ko Department of Mechanical Engineering

  • Research LabThermal Engineering
  • Research Area (Core AI)Robotics & Action
  • Research Area (X+AI)Bio

PUBLICATIONS

239

Ko, Hyeong-Seok Department of Electrical and Computer Engineering

  • Research LabGraphics & Media Lab
  • Research Area (Core AI)Learning & Reasoning, Vision & Perception
  • Research Area (X+AI)Manufacturing

PUBLICATIONS

Wonseop Lee, Hyeong-Seok Ko. Heuristic misfit reduction: A programmable approach for 3D garment fit customization. Computer & Graphics, 71, 1-13.
Dong-Hoon Han, Ick-Hoon Cha, Kyung-Hyun Lee and Hyeong-Seok Ko. Garment Preconditioning and Regional Simulation Omission for Trying-On Virtual Ensembles. Computer Animation and Social Agents 2019.
Goanghun Kim and Hyeong-Seok Ko. A Practical Approach to Physically‐Based Reproduction of Diffusive Cosmetics. Computer Graphics Forum. Volume 37, Number 7.
CCTV 영상으로부터 3D 모델과 딥러닝 및 이미지 품질 개선 기술을 활용한 정면 얼굴 복원 기술 개발, 과학기술정보통신부, 2018~2023.
의류 직물의 3D 재현 연구. 한국연구재단. 2012~2015.
증강현실 기술을 이용한 실시간 매직미러 서비스 기술개발. 정보통신산업진흥원. 2012~2014.
238

Youjin Kong Department of Philosophy

  • Research LabSocial and Political Philosophy, Feminist Philosophy, Ethics of Artificial Intelligence (AI)
  • Research Area (Core AI)AI Law & Ethics
  • Research Area (X+AI)Humanities/Social Sciences

PUBLICATIONS

237

Kook, Woong Department of Mathematical Sciences

  • Research LabCombinatorial Mathematics, Algebraic Topology
  • Research Area (Core AI)Vision & Perception, Data Intelligence
  • Research Area (X+AI)Medicine, Manufacturing

PUBLICATIONS

Simplicial networks and effective resistance (co-author: K. Lee),
Advances in Applied Mathematics, Volume 100 (September 2018) 71-86
Can knowledge be more accessible in a virtual network?: Collective dynamics of knowledge transfer in a virtual knowledge organization network (coauthor: S. Shin),
Decision Support Systems (March 2014),
Combinatorial Green’s function of a graph and applications to networks,
Advances in Applied Mathematics, Volume 46 (Jan. 2011) 417-423
Topological data analysis can extract subgroups with high rates of Type 2 diabetes
(co-authors: H. Kim, C. Yi, Y. Kim, U. Park, B. Oh, H. Kim, T. Park),
International Journal of Data Mining and Bioinformatics 22(1):61-74 (20 April 2019 online)
Harmonic cycles for graphs, (co-author: Y. Kim)   
Linear and Multilinear Algebra (online February 2018)
위상수학적 조합론과 데이터 과학, 과학기술정보통신부, 2018-09-01 ~ 2022-08-31
심장질환판단서비스를 위한 딥러닝 알고리즘의 개발, 정보통신산업진흥원,
2019-09-01 ~ 2019-12-31
236

Oh Nam Kwon

  • Research LabComplex Analysis, Mathematics Education
  • Research Area (Core AI)Learning & Reasoning, Language & Cognition
  • Research Area (X+AI)AI-powered personalized mathematics learning systems, Computational modeling of mathematical thinking processes

PUBLICATIONS

235

Kwon, Illoong Department of Public Administration

  • Research LabIncentive Theory, Performance-Related Pay, Human Resource, Patent and R&D
  • Research Area (Core AI)AI and Labor Force
  • Research Area (X+AI)Humanities/Social Sciences, Government Policy and Regulation

PUBLICATIONS

"Trust or Distrust: Entrepreneurs vs. Self-Employed" (with Kitae Sohn), Small Business Economics, forthcoming.
"Public-Private Mixed Delivery and Information Effects" (with Sangin Park), Economica, 2018, 85(337), 75-91.
"What Does CEOs' Pay-for-Performance Reveal About Shareholders' Attitude Toward Earnings Overstatements?" (with Katherine Guthrie and Jan Sokolowsky), Journal of Business Ethics, 2017, 146(2), 419-450.
"Job Dissatisfaction of the Self-Employed in Indonesia" (with Kitae Sohn), Small Business Economics, 2017, 49(1), 233-249.
"The Effect of Public Service Motivation and Job Level on Bureaucrats' Preference for Direct Policy Instruments" (with Miyeon Song, Seyoung Cha, Naon Min), Journal of Public Administration Research and Theory, 2017, 27(1), 36-51.
234

Kwon, Taekyoung Department of Computer Science and Engineering

  • Research LabNetwork Convergence & Security Laboratory
  • Research Area (Core AI)Vision & Perception, Data Intelligence, AI Security
  • Research Area (X+AI)Humanities/Social Sciences, Commerce

PUBLICATIONS

"Magnetic Field based Indoor Localization System: A Crowdsourcing Approach",  International Conference on Indoor Positioning and Indoor Navigation (IPIN 2019), Pisa, Italy, September 2019
"Unveiling a Socio-Economic System in a Virtual World: A Case Study of an MMORPG", World Wide Web Conference (WWW) 2018 (Industry track), Lyon, France, April. 2018.
"Privacy Leakage in Event-based Social Networks: A Meetup Case Study", In Proceedings of ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW`18), Jersey City, United States, November 2018
233

Youngjung Geum Department of Industrial Engineering

  • Research LabData-Driven Technology Planning, Service Innovation, and R&D Management
  • Research Area (Core AI)Data Intelligence
  • Research Area (X+AI)

PUBLICATIONS

232

Kim, Gunhee Department of Computer Science and Engineering

  • Research LabVision & Learning Lab
  • Research Area (Core AI)Learning & Reasoning, Vision & Perception, Language & Cognition
  • Research Area (X+AI)

PUBLICATIONS

231

Kim, Kyungsu Department of Medicine

  • Research LabArtificial Intelligence & Biomedical Informatics Lab
  • Research Area (Core AI)
  • Research Area (X+AI)Medical AI and Core AI

PUBLICATIONS

230

Kim, Kyung Hwan Department of Medicine

  • Research LabThoracic and Cardiovascular Surgery
  • Research Area (Core AI)
  • Research Area (X+AI)Medicine

PUBLICATIONS

229

Kihan Kim Department of Physical Education

  • Research LabSports Media, eSports, and Digital Sports
  • Research Area (Core AI)
  • Research Area (X+AI)

PUBLICATIONS

228

Kim, Nam Soo Department of Electrical and Computer Engineering

  • Research LabHuman Interface
  • Research Area (Core AI)Speech recognition, synthesis, enhancement
  • Research Area (X+AI)

PUBLICATIONS

227

Do-Nyun Kim Department of Mechanical Engineering

  • Research Labstructural DNA/RNA nanotechnology, computational mechanics and scientific machine learning, industrial AI, and mechanical metameterial design
  • Research Area (Core AI)
  • Research Area (X+AI)Bio

PUBLICATIONS

226

Kim, Dohun Department of Physics and Astronomy

  • Research LabLaboratory for integrated quantum systems
  • Research Area (Core AI)
  • Research Area (X+AI)Physics

PUBLICATIONS

225

Kim, Dong-Kyu Department of Civil and Environmental Engineering

  • Research LabTransportation Planning and Logistics
  • Research Area (Core AI)Learning & Reasoning, Data Intelligence, Autonomous Driving
  • Research Area (X+AI)Humanities/Social Sciences, Logistics, Smart mobility

PUBLICATIONS

Ham, S., H. Park, E. Kim, S. Kho, and D. Kim. “Investigating the Influential Factors for Practical Application of Multiclass Vehicle Detection for Images from Unmanned Aerial Vehicle Using Deep Learning Models.” Proceedings of the 99th Annual Meeting of the Transportation Research Board, Washington, D. C., U.S.A., January 12-16, 2020.
Kim, E., H. Park, S. Kho, and D. Kim*. (2019.12) “A Hybrid Approach Based on Variational Mode Decomposition for Analyzing and Predicting Urban Travel Speed.” Journal of Advanced Transportation, Vol. 2019, Article ID 3958127. https://doi.org/10.1155/2019/3958127.
Kim, E., H. Park, S. Ham, S. Kho, and D. Kim*. (2019.04) “Extracting Vehicle Trajectories Using Unmanned Aerial Vehicles in Congested Traffic Conditions.” Journal of Advanced Transportation, Vol. 2019, Article ID 9060797. https://doi.org/10.1155/2019/9060797.
Park, H., D. Kim*, and S. Kho. (2018.12) “Bayesian Network for Freeway Traffic State Prediction.” Transportation Research Record: Journal of the Transportation Research Board, Vol. 2672, No. 45, pp. 124-135. DOI: 10.1177/0361198118786824.
영상 기반 딥 생성 모델을 활용한 차로별 미시교통정보 생성, 과학기술정보통신부, 2019.09-2020.08
무인항공기와 루프검지기 기반의 통합차량검지시스템을 이용한 교통혼잡 관리전략 개발, 과학기술정통부, 2016.06-2019.05
224

Sangbum Kim Department of Materials Science and Engineering

  • Research Lab
  • Research Area (Core AI)Neuromorphic computing
  • Research Area (X+AI)

PUBLICATIONS

223

Kim, Sun Department of Computer Science and Engineering

  • Research LabBio & Health Informatics Lab
  • Research Area (Core AI)Learning & Reasoning, AI Platform, Data Intelligence
  • Research Area (X+AI)Bio, Medicine, Pharma

PUBLICATIONS

PRISM: Methylation Pattern-based, Reference-free Inference of Subclonal Makeup (ISMB 2019, Bioinformatics)
mirTime: Identifying Condition-Specific Targets of MicroRNA in Time-series Transcript Data using Gaussian Process Model and Spherical Vector Clustering (Bioinformatics 2019)
GABA-stimulated adipose-derived stem cells suppress subcutaneous adipose inflammation in obesity (PNAS, 2019)
DeepFam: Deep learning based alignment-free method for protein family modeling and prediction (ISMB 2018, Bioinformatics)
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification (IJCAI 2017)
과제명: 멀티오믹스 분석 알고리즘 및 플랫폼 개발
연구비 지원기관: 한국연구재단 (과학기술정보통신부)
연구수행 기간: 2014.11.01 - 2022.10.31 (96개월)
과제명: 실험 및 문헌정보 거대 복잡형 데이터 통합분석추론 연구
연구비 지원기관: 한국연구재단 (과학기술정보통신부)
연구기간: 2017.9.1 - 2020.12.31 (40개월)
222

Kim, Young Min Department of Electrical and Computer Engineering

  • Research Lab3D Vision
  • Research Area (Core AI)Learning and reasoning, Visual understanding
  • Research Area (X+AI)SLAM, pose estimation

PUBLICATIONS

221

Yongdai Kim Department of Statistics

  • Research LabStatistical Foundations for AI IDEA Lab
  • Research Area (Core AI)Learning & Reasoning, AI Law & Ethics, Data Intelligence
  • Research Area (X+AI)Commerce, Manufacturing, Finance

PUBLICATIONS

Ohn, Ilsang, and Yongdai Kim. "Nonconvex sparse regularization for deep neural networks and its optimality." Neural Computation, 2022
Kim, Dongha, and Yongdai Kim. "Understanding Effects of Architecture Design to Invariance and Complexity in Deep Neural Networks." IEEE Access, 2021.
Kim, Yongdai, Ilsang Ohn, and Dongha Kim. "Fast convergence rates of deep neural networks for classification." Neural Networks,  2021.
Kim, Minjin, Young-geun Kim, Dongha Kim, Yongdai Kim & Myunghee Cho Paik. "Kernel-convoluted Deep Neural Networks with Data Augmentation." Association for the Advancement of Artificial Intelligence (AAAI), 2021.
Kim, Dongha, Jaesung Hwang, and Yongdai Kim. "On casting importance weighted autoencoder to an EM algorithm to learn deep generative models." International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.
Ohn, Ilsang, and Yongdai Kim. "Smooth function approximation by deep neural networks with general activation functions." Entropy , 2019.
정책 변화를 유연하게 반영하여 준수하는 인공지능 기술 개발, 정보통신기획평가원, 2022.04.01. ~ 2026.12.31.
인공지능 모델과 학습데이터의 편향성 분석-탐지-완화·제거 지원 프레임워크 개발, 정보통신기획평가원, 2021.01.01. ~ 2022.12.31.
기계학습을 위한 성긴 방법론에 대한 연구, 한국연구재단, 2020.03.01. ~ 2025.02.28.
220

Kim, Yukoum Department of Physical Education

  • Research LabHealth Behavior & Promotion, Sport Marketing
  • Research Area (Core AI)Learning & Reasoning, Language & Cognition, AI Law & Ethics
  • Research Area (X+AI)Humanities/Social Sciences

PUBLICATIONS

219

Eunmee Kim Department of Communication

  • Research LabMedia Theory, Digital Media Users, and Cultural Industries
  • Research Area (Core AI)
  • Research Area (X+AI)Media+AI

PUBLICATIONS

218

Kim, Jangwoo Department of Electrical and Computer Engineering

  • Research LabHigh Performance Computer System Lab
  • Research Area (Core AI)AI Platform, AI Chip
  • Research Area (X+AI)Brain, Medicine, Energy

PUBLICATIONS

"FlexLearn: Fast and Highly Efficient Brain Simulations Using Flexible On-Chip Learning", Eunjin Baek, Hunjun Lee, Youngsok Kim, and Jangwoo Kim, ACM/IEEE International Symposium on Microarchitecture (MICRO), Oct 2019
"MnnFast: A Fast and Scalable System Architecture for Memory-Augmented Neural Networks", Hanhwi Jang, Joonsung Kim, Jae-Eon Jo, Jaewon Lee, and Jangwoo Kim, ACM/IEEE International Symposium on Computer Architecture (ISCA), Jun 2019
"Flexon: A Flexible Digital Neuron for Efficient Spiking Neural Network Simulations"
Dayeol Lee, Gwangmu Lee, Dongup Kwon, Sunghwa Lee, Youngsok Kim, and Jangwoo Kim, ACM/IEEE International Symposium on Computer Architecture (ISCA), Jun 2018
"μLayer: Low Latency On-Device Inference Using Cooperative Single-Layer Acceleration and Processor-Friendly Quantization", Youngsok Kim, Joonsung Kim, Dongju Chae, Daehyun Kim, and Jangwoo Kim, ACM European Conference on Computer Systems (EuroSys), Mar 2019
"FIDR: A Scalable Storage System for Fine-Grain Inline Data Reduction with Efficient Memory Handling", Mohammadamin Ajdari, Wonsik Lee, Pyeongsu Park, Joonsung Kim, and Jangwoo Kim, ACM/IEEE International Symposium on Microarchitecture (MICRO), Oct 2019
인공지능 가상머신: 이종 인공지능의 동시, 고속, 독립 실행을 위한 컴퓨터 구조/삼성미래기술육성사업/2019.6-2022.5
이종 스파이크 뉴런 기반의 인간 두뇌 규모 시뮬레이션을 위한 프로세서 및 시스템 개발/한국연구재단/2017.3-2021.2
대규모 뉴럴 프로세싱을 위한 FPGA 기반의 확장형 시스템 개발/삼성전자/2017.11-2020.10
217

KIM, Jae-Joon Department of Electrical and Computer Engineering

  • Research LabVLSI lab
  • Research Area (Core AI)Neural Network-Friendly Hardware, In-Memory Neural Network Computing
  • Research Area (X+AI)Device/Circuit Design for Exploratory Technology

PUBLICATIONS

216

Jeongmin Kim Department of Applied Bioengineering

  • Research LabBioimaging and Biophotonics
  • Research Area (Core AI)
  • Research Area (X+AI)Bio

PUBLICATIONS

215

Kim, Jun B. Department of Business Administration

  • Research LabMarketing Management, Digital Marketing, Data-Driven Marketing
  • Research Area (Core AI)
  • Research Area (X+AI)Humanities/Social Sciences, Business/Marketing/Management

PUBLICATIONS

im, Paulo Albuquerque, and Bart J. Bronnenberg (2017), “The Probit Choice Model under Sequential Search with an Application to Online Retailing,” Management Science, 63(11), 3911-3929.
Bronnenberg, Bart. J., Jun B. Kim, and Carl F. Mela (2016). “Zooming in on Choice: How do Consumers Search for Cameras Online?” Marketing Science, 35(5), 693-712.
Jiao Xu, Chris Forman, Jun B. Kim, and Koert Van Ittersum (2014), “News Media Platforms: Complements or Substitutes? The Case of Mobile News,” Journal of Marketing, 78:4 (July), 97-112
Jun B. Kim, Paulo Albuquerque, and Bart J. Bronnenberg (2011), “Modeling Online Consumer Search,” Journal of Marketing Research, 48:1 (February), 13-27
214

Jisu Kim Department of Statistics

  • Research Lab
  • Research Area (Core AI)Theory for AI
  • Research Area (X+AI)AI in robotics and autonomous systems

PUBLICATIONS

213

Jihong Kim Department of Computer Science and Engineering

  • Research LabFlash Memory System, Multi-Proccesor System
  • Research Area (Core AI)AI Platform
  • Research Area (X+AI)

PUBLICATIONS

212

Kim, Jin-Soo Department of Computer Science and Engineering

  • Research LabSystems Software and Architecture Laboratory
  • Research Area (Core AI)AI Platform, AI Chip
  • Research Area (X+AI)

PUBLICATIONS

211

Changsoon Kim Department of Intelligence and Information

  • Research LabOrganic Electronics and Nanophotonics
  • Research Area (Core AI)AI Platform
  • Research Area (X+AI)

PUBLICATIONS

210

Kim, Chi Heon Department of Medicine

  • Research LabNeurosurgery
  • Research Area (Core AI)Learning & Reasoning, Vision & Perception, Data Intelligence
  • Research Area (X+AI)Medicine, Manufacturing

PUBLICATIONS

209

Taesup Kim Department of Data Science

  • Research LabMeta-learning, Representation Learning, Agent Learning, Machine Learning, Deep Learning
  • Research Area (Core AI)Learning & Reasoning
  • Research Area (X+AI)

PUBLICATIONS

208

Kim, Tae-wan Department of Naval Architecture and Ocean Engineering

  • Research LabComputer Aided Design and Information Technology Lab
  • Research Area (Core AI)Learning & Reasoning, Robotics & Action, Autonomous Driving
  • Research Area (X+AI)Finance, Logistics, Manufacturing

PUBLICATIONS

207

Taehyun Kim Department of Computer Science and Engineering

  • Research Lab양자정보 및 양자컴퓨팅 연구실
  • Research Area (Core AI)Quantum cryptography, Quantum algorithms, Development of quantum computer system
  • Research Area (X+AI)

PUBLICATIONS

206

Taehyeong Kim Department of Biosystems & Biomaterials Science and Engineering

  • Research LabBiosystems Engineering
  • Research Area (Core AI)Data Intelligence
  • Research Area (X+AI)Bio

PUBLICATIONS

205

Taewhan Kim Department of Electrical and Computer Engineering

  • Research LabEmbedded System Design, System-on-Chip (SoC) Design, Low-Power Design
  • Research Area (Core AI)AI Chip
  • Research Area (X+AI)

PUBLICATIONS

204

Kim, Hyunyoung Department of SNU Hospitals

  • Research Lab
  • Research Area (Core AI)
  • Research Area (X+AI)Medicine

PUBLICATIONS

203

Kim, H. Jin Department of Aerospace Engineering

  • Research LabLab for Autonomous Robotics Research
  • Research Area (Core AI)Vision & Perception, Robotics & Action, Autonomous Driving
  • Research Area (X+AI)Logistics, Manufacturing

PUBLICATIONS

Autonomous helicopter flight via reinforcement learning
HJ Kim, MI Jordan, S Sastry, AY Ng,  Advances in neural information processing systems, 2004
Aerial manipulation using a quadrotor with a two dof robotic arm
S Kim, S Choi, HJ Kim
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Real-time monocular image-based 6-DoF localization
H Lim, SN Sinha, MF Cohen, M Uyttendaele, HJ Kim
International Journal of Robotics Research 34 (4-5), 476-492, 2015
Learning Transformable and Plannable se(3) Features for Scene Imitation of a Mobile Service Robot
J Park, J Kim, Y Jang, I Jang, HJ Kim
IEEE Robotics and Automation Letters, 2020
Fast and safe policy adaptation via alignment-based transfer
Jigang Kim, Seungwon Choi, and H. Jin Kim
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
202

Kim, Hyeonjin Department of Medicine

  • Research LabIn Vivo NMR lab
  • Research Area (Core AI)
  • Research Area (X+AI)Brain, Medicine

PUBLICATIONS

Lee HH, Kim H. Intact metabolite spectrum mining by deep learning in proton magnetic resonance spectroscopy of the brain. Magn Reson Med 2019;82:33-48.
Lee H, Lee HH, Kim H. Reconstruction of spectra from truncated free induction decays by deep learning in proton magnetic resonance spectroscopy. Magn Reson Med 2020 https://doi.org/10.1002/mrm.28164.
Lee HH, Kim H. Deep learning-based target metabolite isolation and big data-driven measurement uncertainty estimation in proton magnetic resonance spectroscopy of the brain. Magn Reson Med 2020 (in press)
201

Hyung-Sin Kim Department of Data Science

  • Research LabMachine learning, Data, Computer systems, Applications
  • Research Area (Core AI)Data Intelligence
  • Research Area (X+AI)

PUBLICATIONS

200

Kim, Hong-Gee Department of Dentistry

  • Research LabBiomedical Knowledge Engineering Laboratory
  • Research Area (Core AI)Language & Cognition, AI Platform, Data Intelligence
  • Research Area (X+AI)Bio, Humanities/Social Sciences, Medicine

PUBLICATIONS

Multi-channel PINN: investigating scalable and transferable neural networks for drug discovery. Journal of Chemical Informatics 11.1 (2019): 46
Cognitive Profiling Related to Cerebral Amyloid Beta Burden Using Machine Learning Approaches. Frontiers in Aging Neuroscience. 10.3389 (2019)
The Disturbance in Dynamic Property in the Reconstructed State Space during Nitrous Oxide Administration. Neuroreport 30.3(2019):162–68
Differential Diagnosis of Jaw Pain using Informatics Technology. Journal of Oral Rehabilitation (2018)
A dynamic and parallel approach for repetitive prime labeling of XML with MapReduce, The Journal of Supercomputing, 73:2 (2017)
199

Kim, Hongsoo Department of Public Health Sciences

  • Research LabAging Health Policy & System Research
  • Research Area (Core AI)Data Intelligence
  • Research Area (X+AI)Medicine, Brain, Humanities/Sciences

PUBLICATIONS

198

Rha, Jo (Jong-Youn) Department of Consumer and Child Studies

  • Research LabConsumer Information & Retailing Lab.
  • Research Area (Core AI)Human-AI Interaction, Data Intelligence, AI Law & Ethics
  • Research Area (X+AI)Humanities/Social Sciences, Commerce

PUBLICATIONS

"Personalization-privacy paradox and consumer conflict with the use of location based commerce", Computers in Human Behavior, 63, 453-462
"Consumer ambivalence towards personlized technology and intention to use mobile commerce: The moderating role of gender", International Journal of Electrononic Commerce Studies, 8(2), 158-179
"온라인트래킹에 대한 소비자 인식과 정책적 시사점",  소비자학연구,  29(2), 171-198
온라인 환경에서 아동에 특화된 개인정보보호 연구, 한국인터넷진흥원, 2019.7-12.
패션이미지의 속성 분석을 통한 Fad Detection,  민간과제, 2019.
197

Do, Jaeyoung Department of Electrical and Computer Engineering

  • Research LabAIDAS Laboratory (AI, Big Data, and System)
  • Research Area (Core AI)Learning & Reasoning
  • Research Area (X+AI)

PUBLICATIONS

196

Moon, Byung-Ro Department of Computer Science and Engineering

  • Research LabOptimization Lab
  • Research Area (Core AI)Learning & Reasoning, Data Intelligence, Optimization Algorithms
  • Research Area (X+AI)Finance, Logistics, Manufacturing

PUBLICATIONS

쉽게 배우는 알고리즘, 2018, 한빛미디어
Sungjoo Ha, Sangyeop Lee, Byung-Ro Moon, "Investigation of the Latent Space of Stock Market Patterns with Genetic Programming,"  Genetic and Evolutionary Computation Conference, pp. 1254-1261, 2018
Seung-Hyun Moon, Yong-Hyuk Kim, Yong Hee Lee, Byung-Ro Moon, "Application of machine learning to an early warning system for very short-term heavy rainfall," Journal of Hydrology, 2019
Seung-Hyun Oh, Byung-Ro Moon, "Automatic Reproduction of a Genius Algorithm: Strassen's Algorithm Revisited by Genetic Search," IEEE Transactions on Evolutionary Computation, 14, 2, pp. 246-251, 2010
Il-Seok Oh, Jin-Seon Lee, Byung Ro Moon, "Hybrid Genetic Algorithms for Feature Selection," IEEE Transactions on Pattern Analysis and Machine Intelligence, 26, 11, pp. 1424-1437, 2004
게임로그 기반 최적화 매칭 알고리즘 도출, 넷마블, 2018.12~2019.7
팽이버섯 생산 최적화 및 자문, 대흥농산, 2019.3~2019.8
LMS 고반응 요건 선별 및 자문, 현대카드, 2016.7~2017.4
195

Moon, Soo-Mook Department of Electrical and Computer Engineering

  • Research LabVirtual Machine & Optimization Lab
  • Research Area (Core AI)
  • Research Area (X+AI)

PUBLICATIONS

194

Moon, Ilkyeong Department of Industrial Engineering

  • Research LabSupply Chain Management Lab
  • Research Area (Core AI)logistics & simulation
  • Research Area (X+AI)Logistics, Manufacturing

PUBLICATIONS

Traveling Salesman Problem with a Drone Station, IEEE Transactions on Systems, Man and Cybernetics: Systems (2019.01) Vol. 49, Issue 1, pp.42-52
드론을 활용한 통합 물류 운용 시스템 및 그 방법 : 등록 (10-1924729)
2018.11.27
Online Banner Advertisement Scheduling for Advertising Effectiveness, Computers & Industrial Engineering (2020.02) Vol. 140,106226
Supply Chain Coordination with a Single Supplier and Multiple Retailers considering Customer Arrival Times and Route Selection
Transportation Research Part E (2017.10), Vol. 106, pp. 78-97
Robust Empty Container Repositioning Considering Foldable Containers
European Journal of Operational Research (2020.02) Vol. 280, pp 909-925
스마트 교통·에너지·환경 및 안전 기술을 고려한 스마트 시티 통합운영시스템 개발,  한국연구재단, 2019년 9월~2024년 2월
아모레퍼시픽 공급망 관리 진단 및 개선 자문, 아모레퍼시픽, 2020년2월~2020년7월
Service Buffer Stock 재고 객관성 & 수요예측연구, LG 디스플레이,  2016년 3월~2016년 8월
193

Moon, Taesup Department of Electrical and Computer Engineering

  • Research LabM.IN.D (Machine INtelligence and Data science) Lab
  • Research Area (Core AI)Learning & Reasoning, Vision & Perception, Data Intelligence, Brain & Mind, AI Law & Ethics
  • Research Area (X+AI)Brain, Bio, Energy

PUBLICATIONS

Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. Sangwon Jung, Taeeon Park, Sanghyuk Chun, and Taesup Moon. The 11th International Conference on Learning Representations (ICLR), May 2023

Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks. Hongjoon Ahn, Youngyi Yang, Quan Gan, David Wipf, and Taesup Moon. Neural Information Processing Systems (NeurIPS), December 2022

GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training. Jaeseok Byun, Taebaek Hwang, Jianlong Fu, and Taesup Moon. European Conference on Computer Vision (ECCV), October 2022

Learning Fair Classifiers with Partially Annotated Group Labels. Sangwon Jung, Sanghyuk Chun, and Taesup Moon. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022

SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, and Taesup Moon. Neural Information Processing Systems (NeurIPS), December 2021

SS-IL: Separated Softmax for Incremental Learning. Hongjoon Ahn, Jihwan Kwak, Subin Lim, Hyeonsu Bang, Hyojun Kim, and Taesup Moon. International Conference on Computer Vision (ICCV), October 2021

Fair Feature Distillation for Visual Recognition. Sangwon Jung, Donggyu Lee, Taeeon Park, and Taesup Moon. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2021

FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise. Jaeseok Byun, Sungmin Cha, and Taesup Moon. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2021

Continual Learning with Node-Importance based Adaptive Group Sparse Regularization. Sangwon Jung, Hongjoon Ahn, Sungmin Cha, and Taesup Moon. Neural Information Processing Systems (NeurIPS), December 2020

Uncertainty-based continual learning with adaptive regularization. Hongjoon Ahn, Sungmin Cha, Donggyu Lee and Taesup Moon. Proceedings of Neural Information Processing Systems (NeurIPS), December 2019

Fooling neural network interpretations via adversarial model manipulation. Juyeon Heo, Sunghwan Joo, and Taesup Moon. Proceedings of Neural Information Processing Systems (NeurIPS), December 2019
192

Haeun Moon Department of Transdisciplinary Innovations

  • Research LabNonparametric Statistical Inference
  • Research Area (Core AI)AI Platform
  • Research Area (X+AI)

PUBLICATIONS

191

Min, Kyoung-Bok Department of Medicine

  • Research LabPreventive Medicine
  • Research Area (Core AI)Language & Cognition, Data Intelligence, Data Mining
  • Research Area (X+AI)Humanities/Social Sciences, Medicine, Environmental Health

PUBLICATIONS

Min JY, Song SH, Kim H, Min KB. Mining Hidden Knowledge About Illegal Compensation for Occupational Injury: Topic Model Approach. JMIR Med Inform. 2019;7(3):e14763.
Kim HJ, Min JY, Min KB. Successful Aging and Mortality Risk: The Korean Longitudinal Study of Aging (2006-2014). J Am Med Dir Assoc. 2019;20(8):1013-1020.
Min JY, Min KB. Cumulative exposure to nighttime environmental noise and the incidence of peptic ulcer. Environ Int. 2018;121(Pt2):1172-1178
Min JY, Kim HJ, Yoon C, Lee K, Yeo M, Min KB. Tuberculosis infection via the emergency department among inpatients in South Korea: a propensity score matched analysis of the National Inpatient Sample. J Hosp Infect. 2018;100(1):92-98.
Min JY, Min KB. Exposure to ambient PM10 and NO2 and the incidence of attention-deficit hyperactivity disorder in childhood. Environ Int. 2017;99:221-227.
모바일 헬스 기반 미세먼지 노출에 의한 이상징후 예측 및 질환 발생 기전 연구: Life log data 구축과 머신러닝 분석 기법 활용(한국연구재단, 과학기술정보통신부, 2019.3-2022.2)
취약계층 맞춤형 한파피해 위험 진단기술 개발(국립재난안전연구원, 행정안전부, 2019.6-2020.1)
190

Park, Kun Soo Department of Industrial Engineering

  • Research LabOperations Management, Inventory control, Global supply chain
  • Research Area (Core AI)Learning & Reasoning, AI Platform, Data Intelligence
  • Research Area (X+AI)Finance, Logistics, Manufacturing

PUBLICATIONS

189

Gunwoong Park Department of Statistics

  • Research LabGraphical Models, Data Privacy, Optimal Transport
  • Research Area (Core AI)Learning & Reasoning
  • Research Area (X+AI)

PUBLICATIONS

188

Kyoungsoo Park Department of Computer Science and Engineering

  • Research LabHigh-Performance Network System Design
  • Research Area (Core AI)AI Platform
  • Research Area (X+AI)

PUBLICATIONS

187

Park, Kiwan Department of Business Administration

  • Research LabStrategic Brand Management, Consumer Behavior, Consumer Insight
  • Research Area (Core AI)Learning & Reasoning, Human-AI Interaction, Data Intelligence
  • Research Area (X+AI)Arts, Humanities/Social Sciences, Commerce

PUBLICATIONS

Kim, Hakkyun, Kyoungmi Lee, and Kiwan Park (2015), “Balancing Out Feelings of Risk by Playing It Safe: The Effect of Social Networking on Subsequent Risk Judgment,” Organizational Behavior and Human Decision Processes, 131(November), 121-131.
Kim, Hakkyun, Kiwan Park, and Norbert Schwarz (2010), “Will This Trip Really Be Exciting? The Role of Incidental Emotions in Product Evaluation,” Journal of Consumer Research, 36 (April), 983-991.
Priester, Joseph R., Richard E. Petty, and Kiwan Park (2007), “Whence Univalent Ambivalence? From the Anticipation of Conflicting Reactions,” Journal of Consumer Research, 34(June), 11-21.
4차산업 혁명 시대의 서비스 사용 촉진 및 저해 요인에 대한 분석, 한국연구재단 중견연자지원(2019S1A5A2A01050564), 2019.07-2022.06, 연구책임자
186

Park, Dong Yeol Department of French Language Education

  • Research LabTeaching French as a foreign language
  • Research Area (Core AI)Language & Cognition
  • Research Area (X+AI)Humanities/Social Sciences

PUBLICATIONS

185

Myoung-Ju Park Department of Industrial Engineering

  • Research LabMathematical Programming, Combinatorial Optimization, Approximation Algorithms, and Scheduling
  • Research Area (Core AI)
  • Research Area (X+AI)Commerce

PUBLICATIONS

184

Sangchul Park Department of Law

  • Research LabArtificial Intelligence and Law
  • Research Area (Core AI)
  • Research Area (X+AI)AI regulation, Law for AI

PUBLICATIONS

183

Seongjun Park Department of Transdisciplinary Innovations

  • Research LabNeural and Brain–Computer Interfaces, Biomedical and Wearable Sensing Devices, and Tissue Engineering and Bio-inspired Materials
  • Research Area (Core AI)
  • Research Area (X+AI)Bio

PUBLICATIONS

182

PARK, SUNGHO Department of Business Administration

  • Research LabMarketing
  • Research Area (Core AI)AI Platform, Data Intelligence
  • Research Area (X+AI)Commerce

PUBLICATIONS

Christopher, Ranjit, Sungho Park, Sang Pil Han, Min Kyu Kim (2022), "Bypassing Performance Optimizers of Real Time Bidding Systems in Display Ad Valuation," Information Systems Research, 33(2), 399-412.

Lee, Mi Hyun, Su Jung Kim, Sang-Hyeak Yoon, Sungho Park (2022), "An Integrative Approach to Determinants of Pre-Roll Ad Acceptance and Their Relative Impact: Evidence from Big Data," Journal of Advertising, 51(1), 76-84.

Son, Yoonseock, Wonseok Oh, San-Pil Han, Sungho Park (2020), “When Loyalty Goes Mobile: Effects of Mobile Loyalty Apps on Purchase, Redemption, and Competition,” Information Systems Research, 31(3), 835-847.

Park, Sungho, Elliot Rabinovich, Christopher Tang, Rui Yin (2020), “The Impact of Disclosing Inventory Scarcity Messages on Sales in Online Retailing,” Journal of Operations Management, 66(5), 534-552.

Han, Sang-Pil, Sungho Park, Wonseok Oh (2016), “Mobile App Analytics: A Multiple Discrete-Continuous Choice Framework,” MIS Quarterly, 40(4).

Park, Sungho and Sachin Gupta (2012), “Handling Endogenous Regressors by Joint Estimation Using Copulas,” Marketing Science, 31(4), 567-586.
181

Bahk, Saewoong Department of Electrical and Computer Engineering

  • Research LabNetwork Lab.
  • Research Area (Core AI)Learning & Reasoning, Robotics & Action, Human-AI Interaction
  • Research Area (X+AI)Logistics, Manufacturing, Energy

PUBLICATIONS

Seowoo Jang, Kang G. Shin, and Saewoong Bahk "Post-CCA and Reinforcement Learning based Bandwidth Adaptation in 802.11ac Networks," IEEE Transactions on Mobile Computing, vol. 17, no. 2, pp. 419-432, Feb. 2018.
Jeongyoon Heo, Byungjun Kang, Jin Mo Yang, Jeongyeup Paek, and Saewoong Bahk, "Performance-Cost Tradeoff of Using Mobile Roadside Units for V2X Communication," IEEE Transactions on Vehicular Technology, vol. 68, no. 9, pp. 9049-9059, Sep. 2019.
Hyung-Sin Kim, JeongGil Ko, and Saewoong Bahk, "Smarter Markets for Smarter Life: Applications, Challenges and Deployment Experiences," IEEE Communications Magazine, vol. 55, no. 5, pp. 34-41, May. 2017.
Sung-Guk Yoon, Young-June Choi, Jong-Keun Park and Saewoong Bahk, "Stackelberg Game based Demand Response for At-Home Electric Vehicle Charging," IEEE Transactions on Vehicular Technology, vol. 65, issue 6, pp. 4172-4184, June 2016.
Jongwook Lee and Saewoong Bahk, "On the MDP-based Cost Minimization for Video-on-Demand Services in a Heterogeneous Wireless Network with Multi-Homed Terminals," IEEE Transactions on Mobile Computing, vol. 12, issue. 9, pp. 1737-1749, Sep. 2013
One of Top 100 Research results in 2018 - Disaster Communication Convergence Technology Research (2016.04.01-2017.12.31.) IITP
180

Yong-Lae Park Department of Mechanical Engineering

  • Research LabSOFT ROBOTICS & BIONICS LAB
  • Research Area (Core AI)
  • Research Area (X+AI)Soft, safe, and wearable robotics

PUBLICATIONS

179

Park, Woojin Department of Industrial Engineering

  • Research LabLife Enhancing Technology Lab
  • Research Area (Core AI)Human-AI Interaction, Autonomous Driving
  • Research Area (X+AI)User Experience

PUBLICATIONS

178

Jaesik Park Department of Computer Science and Engineering

  • Research Labtext-to-image synthesis, 3D perception, and computer vision
  • Research Area (Core AI)Vision & Perception
  • Research Area (X+AI)

PUBLICATIONS

177

Park, Jaeheung Department of Intelligence and Information

  • Research LabDynamic Robotic Systems Lab
  • Research Area (Core AI)Robotics & Action, Autonomous Driving
  • Research Area (X+AI)Arts, Medicine, Manufacturing

PUBLICATIONS

176

Park, Frank Chongwoo Department of Mechanical Engineering

  • Research LabRobotics Laboratory
  • Research Area (Core AI)Learning & Reasoning, Robotics & Action, Mathematical data science
  • Research Area (X+AI)Medicine, Logistics, Manufacturing, Dental and medical imaging

PUBLICATIONS

175

Park, Jonghun Department of Industrial Engineering

  • Research LabInformation Management Lab
  • Research Area (Core AI)Learning & Reasoning, Language & Cognition
  • Research Area (X+AI)Arts, Finance, Manufacturing

PUBLICATIONS

Heewoong Park and Jonghun Park, "Assessment of Word-Level Neural Language Models for Sentence Completion", Applied Sciences, Vol. 10, No. 4, Feb 2020
In-Beom Park, Jaeseok Huh, Joongkyun Kim, and Jonghun Park, "A Reinforcement Learning Approach to Robust Scheduling of Semiconductor Manufacturing Facilities", to appear in IEEE Transactions on Automation Science and Engineering, 2020
Jonggwon Park, Kyoyun Choi, Sungwook Jeon, Dokyun Kim and Jonghun Park, "A Bi-directional Transformer for Musical Chord Recognition", to appear in Proc. of the 20th International Society for Music Information Retrieval Conference (ISMIR) 2019, Delft, Netherlands
Heewoong Park, Sukhyun Cho, Kyubyong Park, Namju Kim, and Jonghun Park, "TRAINING UTTERANCE-LEVEL EMBEDDING NETWORKS FOR SPEAKER IDENTIFICATION AND VERIFICATION", Proc. of InterSpeech 2018
Moon-jung Chae, Kyubyong Park, Jinhyun Bang, Soobin Suh, Jonghyuk Park, Namju Kim, and Jonghun Park, "CONVOLUTIONAL SEQUENCE TO SEQUENCE MODEL WITH NON-SEQUENTIAL GREEDY DECODING FOR GRAPHEME TO PHONEME CONVERSION", Proc. of ICASSP 2018
신경망 구조 탐색을 위한 메타러닝 기법 및 생성형 모형 기반 이상치 탐지 기술 연구, 카카오브레인, 2019.04.01~2020.03.31
잠재공간의 효과적 제어를 통한 심층신경망의 시퀀스 데이터 생성 기법 연구, 한국연구재단, 2019.6.1 - 2022.5.31
Deep Reinforcement Learning을 활용한 지능형 Real-Time Scheduling/Dispatching, 뉴로코어, 2019. 6. - 2019.11.
174

Park, Juyeon Department of Textiles

  • Research LabHuman-Centered Product Development
  • Research Area (Core AI)Vision & Perception, Human-AI Interaction, Data Intelligence
  • Research Area (X+AI)Medicine, Commerce, Manufacturing

PUBLICATIONS

Park, J. (2018). The effect of virtual body checking on self-image discrepancy, body dissatisfaction and weight regulation intention. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 12(1), Advanced Online Publication
Park, J. (2017). Emotional reactions to the 3D virtual body and future willingness: The effects of self-esteem and social physique anxiety. Virtual Reality, 22(1), 1-11.
Park, J., Ogle, J. P., & Shaver, J. (2019). Virtual avatar experience for the intervention of body image concerns.  Proceedings of the Seventy-sixth Annual Conference of the International Textile and Apparel Association, International Textile and Apparel Association. Retrieved from http://lib.dr.iastate.edu/itaa_proceedings/2019/
Park, J, & Langseth-Schmidt, K. (2016). Anthropometric fit evaluation of firefighters’ uniform pants: A sex comparison. International Journal of Industrial Ergonomics, 56, 1-8.
Conroy, B., & Park, J. (2018). Body armor fit and comfort using 3D body scanning: A collaborative industry project. Proceedings of the Seventy-fifth Annual Conference of the International Textile and Apparel Association, International Textile and Apparel Association. Retrieved from http://lib.dr.iastate.edu/itaa_proceedings/2018/
2D 촬영 정보로 인체 체형 분류 및 검증, 중소기업기술정보진흥원, 2019-06-26 ~ 2021-08-25
인간중심 소프트로봇기술 연구센터, 선도연구센터 (기초연구사업),  2020-01-01 ~ 2022-12-31
173

Park, Jinsoo Department of Business Administration

  • Research LabIntelligent Data Semantics Lab
  • Research Area (Core AI)Language & Cognition, Human-AI Interaction, Data Intelligence
  • Research Area (X+AI)Finance, Commerce, Manufacturing

PUBLICATIONS

“Semantic Conflict Resolution Ontology (SCROL): An Ontology for Detecting and Resolving Data and Schema-Level Semantic Conflicts,” (with S. Ram), IEEE Transactions on Knowledge and Data Engineering, Vol. 16, No. 2. February 2004, pp. 189-202.
“A Novel Approach to Managing the Dynamic Nature of Semantic Relatedness,” (with Y. Choi, and J. Oh), Journal of Database Management, Vol. 27, No. 2, April-June 2016, pp. 1-26. (doi: 10.4018/JDM.2016040101)
“Predicting Movie Success with Machine Learning Techniques: Ways to Improve Accuracy,” (with K. Lee, I. Kim, and Y. Choi), Information Systems Frontiers, Vol. 20, Number 3, June 2018, pp. 577-588. (doi: 10.1007/s10796-016-9689-z) Online-first version on August 2016, pp. 1-12.
“Identifying Semantically Similar Questions in Social Q&A Communities,” (with B. Kim), in Proceedings of the 27th Workshop on Information Technologies and Systems (WITS 2017), Seoul, Korea, December 14-15, 2017.
“A Link-based Ranking Algorithm for Semantic Web Resources: A Class-oriented Approach Independent of Link Direction,” (with H. Park and S. Rho), Journal of Database Management, Vol. 22, No. 1, January-March 2011, pp. 1-25.
172

Park, Taesung Department of Statistics

  • Research LabBioInformatics & BioStatistics Lab
  • Research Area (Core AI)
  • Research Area (X+AI)

PUBLICATIONS

171

Park, Hyungbin Department of Mathematical Sciences

  • Research LabMathematical Finance, Probability and Stochastic Processes
  • Research Area (Core AI)
  • Research Area (X+AI)Finance

PUBLICATIONS

170

Baek, Daehyun Department of Biological Sciences

  • Research LabLaboratory of Computational Biology
  • Research Area (Core AI)
  • Research Area (X+AI)Bio, Medicine, Pharma

PUBLICATIONS

D. Kim*, Y. M. Sung*, J. Park*, S. Kim, J. Kim, J. Park, H. Ha, J. Y. Bae, S. Kim, and D. Baek, General Rules for Functional MicroRNA Targeting, Nature Genetics, 2016
D. Garcia*, D. Baek*#, C. Shin, G. Bell, A. Grimson, and D. Bartel#, Weak Seed-Pairing Stability and High Target-Site Abundance Decrease the Proficiency of lsy-6 and Other miRNAs, Nature Structural and Molecular Biology, 2011.
D. Baek*, J. Villen*, C. Shin*, F. Camargo, S. Gygi, and D. Bartel, The Impact of MicroRNAs on Protein Output, Nature, 2008.
D. Baek#, C. Davis, B. Ewing, D. Gordon, and P. Green#, Characterization and Predictive Discovery of Evolutionarily Conserved Mammalian Alternative Promoters, Genome Research, 2007.
D. Baek# and P. Green#, Sequence Conservation, Relative Isoform Frequencies, and Nonsense-Mediated Decay in Evolutionarily Conserved Alternative Splicing, Proceedings of the National Academy of Sciences U.S.A., 2005.
고정밀 암 진단을 위한 멀티오믹스 기반 유전체변이 발굴 및 진단용 소프트웨어 플랫폼 개발
당뇨합병증 정밀의료를 위한 엑소좀 다중오믹스 분석 플랫폼 개발
169

Paek, Sun Ha Department of Medicine

  • Research LabNeurosurgery
  • Research Area (Core AI)Deep Brain Stimulation
  • Research Area (X+AI)Bio, Brain, Medicine

PUBLICATIONS

Park HR, Kim IH, Kang H, McCairn KW, Lee DS, Kim BN, Kim DG, Paek SH.Electrophysiological and imaging evidence of sustained inhibition in limbic and frontal networks following deep brain stimulation for treatment refractory obsessive compulsive disorder.PLoS One. 2019 Jul 19;14(7):e0219578. doi: 10.1371/journal.pone.0219578. eCollection 2019
Yi HG, Jeong YH, Kim Y, Choi YJ, Moon YE, Park SH, Kang KS, Jang J, Youn H, Paek SH. Cho DW. A bioprinted human-glioblastoma-on-a-chip for the identification of patient-specific responses to chemoradiotherapy. Nat Biomed Eng. 2019 Mar 18. doi: 10.1038/s41551-019-0363-x.
Choi SH, Kim YB, Paek SH, Cho ZH.Papez Circuit Observed by in vivo Human Brain With 7.0T MRI Super-Resolution Track Density Imaging and Track Tracing.Front Neuroanat. 2019 Feb 18;13:17. doi: 10.3389/fnana.2019.00017. eCollection 2019.
Choi H, Ha S, Im HJ, Paek SH, Lee DS. Refining diagnosis of Parkinson's disease with deep learning-based interpretation of dopamine transporter imaging. Neuroimage Clin. 2017 Sep 10;16:586-594. doi: 10.1016/j.nicl.2017.09.010. eCollection 2017. PMID:28971009
Jung YJ, Kim HJ, Jeon BS, Park H, Lee WW, Paek SH.An 8-Year Follow-up on the Effect of Subthalamic Nucleus Deep Brain Stimulation on Pain in Parkinson Disease.JAMA Neurol. 2015 Mar 23. doi: 10.1001/jamaneurol.2015.8.
미래뇌융합기술개발사업 위탁과제
(과제명: 영장류 이식 환경 구축 및 개발된 시스템의 이식후 성능평가, 연구비 지원기관: 과학기술정보통신부, 연구수행기간: 2020년 1월 1일-2022년 12월 31일)
168

Paek, Yunheung Department of Electrical and Computer Engineering

  • Research LabSecurity Optimization Research Lab.
  • Research Area (Core AI)AI Chip, AI Security
  • Research Area (X+AI)Finance, Commerce

PUBLICATIONS

Hawkware: Network Intrusion Detection based on Behavior Analysis with ANNs on an IoT Device, Design Automation Conference (DAC), Jul 2020
DADE: a fast data anomaly detection engine for kernel integrity monitoring, The Journal of Supercomputing, Aug 2019
Real-Time Anomalous Branch Behavior Detection with a GPU-inspired Engine for Machine Learning Models, Design Automation and Test in Europe (DATE), Mar 2019
An SoC Architecture for Learning-Based Online Anomaly Detection on ARM, Design Automation Conference (DAC) WIP, Jun 2018
Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models, DEEP LEARNING AND SECURITY WORKSHOP, May 2018
Behavior-based Malware Detection in HW support, 1억, 삼성전자
AI 포렌식 빅데이터 기반 지능형 보안 위협 분석, 8500만, 서울특별시
Embedded 시스템에서의 (AI 기반) 공격탐지 및 데이터 전송 솔루션, 1억, 삼성전자
167

Seo, Kyoungwon Department of Business Administration

  • Research LabAsset Pricing, Derivatives, Machine Learning, Data Science
  • Research Area (Core AI)Learning & Reasoning, Data Intelligence
  • Research Area (X+AI)Finance, Commerce

PUBLICATIONS

166

Suh, Kyo Department of International Agricultural Technology

  • Research LabGreen Resources Engineering Center
  • Research Area (Core AI)AI Platform, Data Intelligence
  • Research Area (X+AI)Humanities/Social Sciences, Logistics, agriculture

PUBLICATIONS

A Comparative Analysis of the Environmental Benefits of Drone-Based Delivery Services in Urban and Rural Areas
Leveraging Socially Networked Mobile ICT Platforms for the Last-Mile Delivery Problem
공간빅데이터 기반의 농산물 스마트 로지스틱스 파일럿 시스템 구축
165

Suh, Bongwon Department of Intelligence and Information

  • Research LabHuman-Centered Computing Laboratory
  • Research Area (Core AI)Human-AI Interaction, Data Intelligence
  • Research Area (X+AI)Humanities/Social Sciences, Medicine, Finance

PUBLICATIONS

I lead, you help but only with enough details: Understanding user experience of co-creation with artificial intelligence, CHI 2018
Us vs. them: Understanding artificial intelligence technophobia over the google deepmind challenge match, CHI 2017
Enhancing VAEs for collaborative filtering: flexible priors & gating mechanisms, RecSys 2019
Bot in the Bunch: Facilitating Group Chat Discussion by Improving Efficiency and Participation with a Chatbot, CHI 2020
Understanding User Perception of Automated News Generation System, CHI 2002
심전도 데이터를 활용한 부정맥 진단 알고리즘 모델 공동 개발, LG전자, 2019-11-20 ~ 2020-06-30
AI기반 문자인식(OCR) 알고리즘, 교보생명주식회사, 2019-10-21 ~ 2020-03-20
로봇 저널리즘 기반의 방송 뉴스 콘텐츠 제작 기술 개발, 과기정통부, 2017-04-01 ~ 2019-12-31
164

Seo, Seung-Woo Department of Electrical and Computer Engineering

  • Research LabIntelligent Vehicle, Information Security
  • Research Area (Core AI)Autonomous Driving
  • Research Area (X+AI)

PUBLICATIONS

163

Seo, Jongmo Department of Electrical and Computer Engineering

  • Research LabElectro-medical Fusion Engineering lab
  • Research Area (Core AI)Learning & Reasoning, Vision & Perception, Robotics & Action, Human-AI Interaction, Data Intelligence, AI Law & Ethics, Autonomous Driving
  • Research Area (X+AI)Bio, Brain, Medicine

PUBLICATIONS

162

Jiwon Seo Department of Transdisciplinary Innovations

  • Research LabMachine Learning, bigdata system
  • Research Area (Core AI)Learning & Reasoning
  • Research Area (X+AI)

PUBLICATIONS

161

Seo, Jinwook Department of Computer Science and Engineering

  • Research LabHuman-Computer Interaction Laboratory
  • Research Area (Core AI)Vision & Perception, Human-AI Interaction, Data Intelligence
  • Research Area (X+AI)Humanities/Social Sciences, Medicine, Manufacturing

PUBLICATIONS

Jaemin Jo and Jinwook Seo, "Disentangled Representation of Data Distributions in Scatterplots," 2019 IEEE Visualization Conference (VIS), Vancouver, BC, Canada, 2019, pp. 136-140.
Daekyoung Jung, Wonjae Kim, Hyunjoo Song, Jeong-in Hwang, Bongshin Lee, Bohyoung Kim, and Jinwook Seo, ChartSense: Interactive Data Extraction from Chart Images, In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '17), pp. 6706-6717, 2017.

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Seoul National University

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Email. aiis@snu.ac.kr

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