겸무교수 2 페이지 | 서울대학교AI연구원(AIIS)

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겸무교수

서울대학교 AI 연구원은
AI 원천기술(core AI) 연구자AI 응용기술(x+AI) 연구자가 함께 활동하고 있습니다.

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연구분야 (AI 원천)
연구분야 (응용)
123

곽노준 융합과학기술대학원 지능정보융합학과

  • 연구실/전공분야컴퓨터지능 및 패턴인식 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Multi-modal Learning
  • 연구분야(X+AI)

대표논문

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
122

서교 국제농업기술대학원 그린에코시스템공학전공

  • 연구실/전공분야Green Resources Engineering Center
  • 연구분야(AI 원천기술)AI Platform, Data Intelligence
  • 연구분야(X+AI)Humanities/Social Sciences, Logistics, agriculture

대표논문

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
121

장원철 자연과학대학 통계학과

  • 연구실/전공분야고차원대용량분석
  • 연구분야(AI 원천기술)Data Intelligence
  • 연구분야(X+AI)

대표논문

120

정재용 의과대학 임상약리학교실

  • 연구실/전공분야신약임상개발, 뇌신경분야 초기임상시험
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

119

유병준 경영대학 경영학과

  • 연구실/전공분야Electronic Commerce, Digital Economy, Business Analytics, IT Strategy, AI Applications
  • 연구분야(AI 원천기술)Learning & Reasoning, Data Intelligence
  • 연구분야(X+AI)Finance, Commerce

대표논문

컨텐츠사용 형태 및 구매데이터 분석, 카카오페이, 2019
생체 건강나이 기반의 심뇌혈관질환 발생 위험 측정모델을 통한 노후필요 자금설계, NIA, 2018
118

이인아 자연과학대학 뇌인지과학과

  • 연구실/전공분야Laboratory for Behavioral Neurophysiology of Memory
  • 연구분야(AI 원천기술)Learning & Reasoning, Brain & Mind
  • 연구분야(X+AI)

대표논문

Ahn JR, Lee HW, and Lee I (2019). Rhythmic pruning of perceptual noise for object representation in the hippocampus and perirhinal cortex in rats. Cell Reports 26
Jung MW, Lee H, Jeong Y, Lee JW, Lee I (2018). Remembering rewarding futures: A simulation‐selection model of the hippocampus. Hippocampus 28
Ahn JR, Lee I (2017) Neural correlates of both perception and memory for objects in the rodent perirhinal cortex. Cerebral Cortex 27
Lee I, Lee CH (2013) Contextual behavior and neural circuits. Frontiers in Neural Circuits 7
Lee I, Yoganarasimha D, Rao G, Knierim J (2004) Comparison of population coherence of place cells in hippocampal subfields CA1 and CA3. Nature 430
117

윤명환 공과대학 산업공학과

  • 연구실/전공분야휴먼 인터페이스 시스템 연구실
  • 연구분야(AI 원천기술)Human-AI Interaction, Data Intelligence, Autonomous Driving, User Interface User Experience
  • 연구분야(X+AI)Humanities/Social Sciences, Human Factors Cognitive Engineering

대표논문

A Systematic Review of a Virtual Reality System from the Perspective of User Experience Yong Min Kim, Ilsun Rhiu, Myung Hwan Yun 2019
International Journal of Human–Computer Interaction 1-18
Mining affective experience for a kansei design study on a recliner Wonjoon Kim, Taehoon Ko, Ilsun Rhiu, Myung Hwan Yun
2019/1/1 Applied ergonomics 74 145-153
Queueing Network Based Driver Model for Varying Levels of Information Processing
Ye Lim Rhie, Ji Hyoun Lim, Myung Hwan Yun 2018/10/31 IEEE Transactions on Human-Machine Systems 49 6 508-517
Classification of children’s sitting postures using machine learning algorithms Yong Min Kim, Youngdoo Son, Wonjoon Kim, Byungki Jin, Myung Hwan Yun
2018/8 Applied Sciences 8 8 1280
Exploring User Experience of Smartphones in Social Media: A Mixed-Method Analysis
Ilsun Rhiu, Myung Hwan Yun 2018/5/14
International Journal of Human–Computer Interaction
AI 를 이용한 스마트 체어 시스템. 산업부/DBK 2017-2019
116

안정호 융합과학기술대학원 지능정보융합학과

  • 연구실/전공분야SCALable Computer Architecture Laboratory
  • 연구분야(AI 원천기술)AI Platform, AI Chip
  • 연구분야(X+AI)

대표논문

"Partitioning Compute Units in CNN Acceleration for Statistical Memory Traffic Shaping,"  D. Jung, S. Lee, W. Rhee, and J. Ahn, IEEE Computer Architecture Letters, Vol. 17, No. 1, 2018
뉴럴 프로세싱 시스템 연구, 삼성전자, 2017/11-2020/10
복합 심층학습 응용분야를 위한 가속기 구조 연구, 삼성미래기술육성재단, 2017/12-2019/11
115

안창범 공과대학 건축학과

  • 연구실/전공분야건설기술연구실
  • 연구분야(AI 원천기술)Human-AI Interaction, Robotics & Action
  • 연구분야(X+AI)건설 + AI

대표논문

"Lee, H., Lee, G., Lee S., and Ahn, C. R. (2022). “Assessing Exposure to Slip, Trip, and Fall Hazards Based on Abnormal Gait Patterns Predicted from Confidence Interval Estimation: A Field Validation Study.” Automation in Construction, Elsevier.
Lee, B., Ahn, S., and Ahn, C. R. (2022). “Understanding Occupants’ Physical Distancing Behavior for Safer Facility Operation under COVID-19 in the Context of Educational Facilities.” Journal of Management in Engineering, ASCE, 38(3), 04022007.
Kim, J., Nirjhar, H. E., Kim, J., Chaspari, T., Ham, Y., Winslow, J. F., Lee, C., and Ahn, C. R. (2022). “Capturing Environmental Distress of Pedestrians using Multimodal Data: the Interplay of Bio-signals and Image-based Data.” Journal of Computing in Civil Engineering, ASCE, 36(2), 04021039.
Kim, Y., Kim, H., Murphy, R., Lee, S. and Ahn, C. (2022) “Delegation or Collaboration: Understanding Different Construction Stakeholders’ Perceptions of Robotization.” Journal of Management in Engineering, ASCE, 38(1), 04021084.
Kim, N., Anderson, B., and Ahn, C. R. (2021). “Reducing Risk Habituation to Struck-by Hazards in a Road Construction Environment Using Virtual Reality Behavioral Intervention.” Journal of Construction Engineering and Management, ASCE, 147(11), 04021157.
Zanwar, P., Kim, J., Kim, J., Manser, M., Ham, Y., Chaspari, T. and Ahn, C. R. (2021). “Use of Connected Technologies to Assess Barriers and Stressors for Age and Disability-Friendly Communities.” Frontiers in Public Health, 9(80).
Mohan, P., Lee, B., Chaspari, T., & Ahn, C. (2020). Assessment of daily routine uniformity in a smart home environment using hierarchical clustering. IEEE Journal of Biomedical and Health Informatics."
114

유재준 자연과학대학 물리천문학부

  • 연구실/전공분야응집물질물리이론
  • 연구분야(AI 원천기술)Learning & Reasoning, Data Intelligence
  • 연구분야(X+AI)Energy, Physics

대표논문

"Passivated co-doping approach to bandgap narrowing of titanium dioxide with enhanced photocatalytic activity”, Applied Catalysis B: Environmental 200, 1 (2017)
"Novel J eff= 1/2 Mott state induced by relativistic spin-orbit coupling in Sr2IrO4”, Physical Review Letters 101, 076402 (2008)
"O(N) LDA+U electronic structure calculation method based on the nonorthogonal pseudoatomic orbital basis”, Physical Review B 73, 045110 (2006)
"Magnetic ordering at the edges of graphitic fragments: Magnetic tail interactions between the edge-localized states”, Physical Review B 72, 174431 (2005)
"Electronically Driven Instabilities and Superconductivity in the Layered La2-xMxCuO4 Perovskites", Physical Review Letters 58, 1035 (1987)
"Center for Strongly Correlated Materials Research (SRC)", 한국연구재단, 1999-2008
113

천정희 자연과학대학 수리과학부

  • 연구실/전공분야동형암호, 정보보호
  • 연구분야(AI 원천기술)AI Security, AI Theory
  • 연구분야(X+AI)Medicine, Finance, Commerce

대표논문

Numerical Method for Comparison on Homomorphically Encrypted Numbers, With Dongwoo Kim, Duhyeong Kim, Hunhee Lee and Keewoo Lee, Asiacrypt'19 (Invited to Journal of Cryptology)
Statistical Zeroizing Attack: Cryptanalysis of Candidates of BP Obfuscation over GGH15 Multilinear Map, With Wonhee Cho, Minki Hhan, Jiseung Kim and Changmin Lee, CRYPTO'19
Cryptanalyses of Branching Program Obfuscations over GGH13 Multilinear Map from the NTRU Problem, With Minki Hhan, Jiseung Kim and Changmin Lee, CRYPTO'18
112

이정우 공과대학 전기정보공학부

  • 연구실/전공분야통신 및 머신러닝 연구실
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

111

박창민 의과대학 영상의학교실

  • 연구실/전공분야방사선인공지능연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Human-AI Interaction
  • 연구분야(X+AI)Medicine

대표논문

Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs. JAMA Netw Open. 2 (3), e191095 2019 Mar 1
Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs. Radiology. 290 (1), 218-228 Jan 2019
Development and Validation of a Deep Learning-based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs. Clin Infect Dis. 69 (5), 739-747 2019 Aug 16
Deep Learning for Chest Radiograph Diagnosis in the Emergency Department. Radiology. 293 (3), 573-580 Dec 2019
CT-based Deep Learning Model to Differentiate Invasive Pulmonary Adenocarcinomas Appearing as Subsolid Nodules Among Surgical Candidates: Comparison of the Diagnostic Performance With a Size-Based Logistic Model and Radiologists. Eur Radiol. 2020 Feb 13[Online ahead of print]
2017.03.-2020.02. 인공지능 딥러닝 알고리즘을 이용한 폐결절 분류 및 폐암 진단 시스템 개발. 한국연구재단 (미래창조과학부)
2017.11-2019.10.31. 다기관 의료영상 인공지능 연구를 위한 보안 클라우드 플랫폼. 서울시 산학연 협력사업 (서울시)
110

허충길 공과대학 컴퓨터공학부

  • 연구실/전공분야소프트웨어 원리 연구실
  • 연구분야(AI 원천기술)AI Platform, AI Security
  • 연구분야(X+AI)Medicine

대표논문

109

김동규 공과대학 건설환경공학부

  • 연구실/전공분야교통계획·물류연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Data Intelligence, Autonomous Driving
  • 연구분야(X+AI)Humanities/Social Sciences, Logistics, Smart mobility

대표논문

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
108

조성준 공과대학 산업공학과

  • 연구실/전공분야빅데이터 AI 센터
  • 연구분야(AI 원천기술)Learning & Reasoning, Language & Cognition, Data Intelligence
  • 연구분야(X+AI)Finance, Logistics, Manufacturing

대표논문

세상을 읽는 새로운 언어, 빅데이터, 조성준, 21세기북스, 2019.08.28, ISBN 9788950982737
Fault Detection and Diagnosis Using Self-Attentive Convolutional Neural Networks for Variable-length Sensor Data in Semiconductor Manufacturing, Eunji kim, Sungzoon Cho, Byeong eon Lee, Myoungsu Cho, IEEE Transactions on Semiconductor Manufacturing, Volume: 32 , Issue: 3 , Aug. 2019, Page(s): 302 - 309
Champion-challenger analysis for credit card fraud detection: hybrid ensemble and deep learning, Eunji Kim, Jehyuk Lee, Hunsik Shin, Hoseong Yang, Sungzoon Cho, Seung-kwan Nam, Youngmi Song, Jeong-a Yoon, Jong-il Kim, Wooho Chung, Kyungmo La, Kangshin Ko, Expert Systems with Applications, Volume 128, 15 August 2019, Pages 214-224
Stock Price Prediction through Sentiment Analysis of Corporate Disclosures Using Distributed Representation, Misuk Kim, Eunjeong Lucy Park, and Sungzoon Cho, Intelligent Data Analysis Journal, Vol. 22(6) pp. 1395-1413 December, 2018
"Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data", Taehoon Ko, Je Hyuk Lee, Hyunchang Cho, Sungzoon Cho, Wounjoo Lee, Miji Lee, Industrial Management & Data Systems, Vol. 117 Issue: 5, 2017, pp.927-945
기업 공시 데이터를 활용한 기업 네트워크 구축, 연구재단, 2018~2021
기계학습을 활용한 데이터 기반 진단, 고장예지 및 내구성 평가, 삼성전자, 2016~2021
예방품질능력 강화 위한 컨버터 지능형 진단 기술 개발, 현대차, 2018~2019
107

이경무 공과대학 전기정보공학부

  • 연구실/전공분야컴퓨터 비전 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Autonomous Driving
  • 연구분야(X+AI)Bio, Medicine, Logistics, Manufacturing

대표논문

106

이석재 인문대학 철학과

  • 연구실/전공분야서양근대철학, 형이상학
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)Humanities/Social Sciences

대표논문

105

황승원 공과대학 컴퓨터공학부

  • 연구실/전공분야언어 데이터 지능 연구실
  • 연구분야(AI 원천기술)Language & Cognition,Data Intelligence
  • 연구분야(X+AI)검색, 언어, 지식그래프

104

윤성수 의과대학 내과학교실

  • 연구실/전공분야혈액학연구실
  • 연구분야(AI 원천기술)Learning & Reasoning
  • 연구분야(X+AI)Bio, Medicine, Pharma

대표논문

Genet Med. 2019 Dec;21(12):2695-2705. doi: 10.1038/s41436-019-0588-9.
Oncogenic effects of germline variants in lysosomal storage disease genes.
Sci Rep. 2019 Mar 5;9(1):3465. doi: 10.1038/s41598-019-39706-0.
Interpretation of EBV infection in pan-cancer genome considering viral life cycle: LiEB (Life cycle of Epstein-Barr virus).
Blood Cancer J. 2018 May 23;8(5):43. doi: 10.1038/s41408-018-0083-6.
RTK-RAS pathway mutation is enriched in myeloid sarcoma.
103

박동열 사범대학 불어교육과

  • 연구실/전공분야불어학
  • 연구분야(AI 원천기술)Language & Cognition
  • 연구분야(X+AI)Humanities/Social Sciences

대표논문

102

이광근 공과대학 컴퓨터공학부

  • 연구실/전공분야프로그래밍 연구실
  • 연구분야(AI 원천기술)AI Platform, AI Security, ai verification, security, safety
  • 연구분야(X+AI)

대표논문

[book] Introduction to Static Analysis: an abstract interpretation perspective, MIT Press, 2020
Adaptive Static Analysis via Learning with Bayesian Optimization, TOPLAS 40(4), no.14, 2018
Global Sparse Analysis Framework, TOPLAS 36(3), no.8, 2014
Optimizing Homomorphic Evaluation Circuits by Program Synthesis and Term Rewriting, PLDI 2020
Selective Context-Sensitivity Guided by Impact Pre-Analysis, PLDI 2014
과기부 연구재단 선도연구센터(ERC), 소프트웨어무결점 연구센터, 센터장, 2008-2015
과기부 연구재단 창의연구단(CRI), 프로그램분석시스템 연구단, 연구단장, 1998-2003
101

김선진 사범대학 체육교육과

  • 연구실/전공분야운동 학습 및 발달, 제어
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

100

장정주 경영대학 경영학과

  • 연구실/전공분야경영정보
  • 연구분야(AI 원천기술)Data Intelligence
  • 연구분야(X+AI)

대표논문

99

김현진 공과대학 항공우주공학과

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

대표논문

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
98

강재승 의과대학 해부학교실

  • 연구실/전공분야세포및분자생물학
  • 연구분야(AI 원천기술)Human-AI Interaction
  • 연구분야(X+AI)Brain, Medicine, Pharma

대표논문

97

김지홍 공과대학 컴퓨터공학부

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

대표논문

96

김진수 공과대학 컴퓨터공학부

  • 연구실/전공분야시스템 소프트웨어 및 구조 연구실
  • 연구분야(AI 원천기술)AI Platform, AI Chip
  • 연구분야(X+AI)

대표논문

95

이창건 공과대학 컴퓨터공학부

  • 연구실/전공분야실시간 유비쿼터스 시스템 연구실
  • 연구분야(AI 원천기술)Robotics & Action, AI Platform, Autonomous Driving
  • 연구분야(X+AI)Manufacturing

대표논문

Kang-Wook Kim, Youngeun Cho, Jeongyoon Eo, Chang-Gun Lee, and Junghee Han, System-wide Time vs. Density Tradeoff in Real-Time Multicore Fluid Scheduling, in IEEE Transactions on Computers (TC), Vol. 67, Issue 7, pp. 7, July 2018.
Youngeun Cho, Do Hyung Kim, Daechul Park, Seungsu Lee, and Chang-Gun Lee, Conditionally Optimal Task Parallelization for Global EDF on Multi-core Systems, in IEEE Real-Time Systems Symposium (RTSS), Dec. 2019.
Kyoung-Soo We, Seunggon Kim, Wonseok Lee, and Chang-Gun Lee, Functionally and Temporally Correct Simulation of Cyber-Systems for Automotive Systems, in IEEE Real-Time Systems Symposium (RTSS), Paris, France, Dec. 2017.
Duhee Lee, Chang-Gun Lee, and Kanghee Kim, A Generic Framework for Soft Real-Time Program Executions on NAND Flash Memory in Multi-Tasking Embedded Systems, in 30th IEEE Real-Time Systems Symposium, Washington D.C., U.S., Dec. 2009.
E. Felemban, Chang-Gun Lee, E. Ekici, R. Boder, and S. Vural, Probabilistic QoS Guarantee in Reliability and Timeliness Domains in Wireless Sensor Networks, in IEEE INFOCOM, Vol. 4, Mar. 2005.
[2015. 03. ~ 2023. 02.] (SW Star Lab) Real-Time System SW on Multicore and GPGPU for Unmanned Vehicles, IITP
[2011. 07. ~ 2018. 10.] Development of Techniques for ECU-Level Real-Time Verification/Implementation, Hyundai/Kia Motors
94

이동진 법학전문대학원 법학과

  • 연구실/전공분야민법
  • 연구분야(AI 원천기술)AI Law & Ethics
  • 연구분야(X+AI)Humanities/Social Sciences, Medicine

대표논문

공동근저당의 법리 ― 대법원 2017. 9. 21. 선고 2015다50637 판결 ― 민사법학 한국민사법학회 단독  202012
고령사회에서 의료법의 과제 ― 원격의료, 공동결정, 자원투입제한 ― 서울대 법학 서울대학교 법학연구소 단독  202012
양도금지특약에 반하는 채권양도, 회생절차와 민법 제434조 ― 대법원 2019. 12. 19. 선고 2016다24284 전원합의체 판결 ― 법조 법조협회 단독  202010
93

정천기 자연과학대학 뇌인지과학과

  • 연구실/전공분야인간 뇌 기능 연구실
  • 연구분야(AI 원천기술)Vision & Perception, Robotics & Action, Human-AI Interaction
  • 연구분야(X+AI)Bio, Brain, Medicine

대표논문

Characterization of brain network supporting episodic memory in the absence of one medial temporal lobe.

Jeong W, Lee H, Kim JS, Chung CK.

Hum Brain Mapp. 2019 May;40(7):2188-2199.
Direct Stimulation of Human Hippocampus During Verbal Associative Encoding Enhances Subsequent Memory Recollection.

Jun S, Kim JS, Chung CK.

Front Hum Neurosci. 2019 Feb 5;13:23.
Neural basis of episodic memory in the intermediate term after medial temporal lobe resection.

Jeong W, Lee H, Kim JS, Chung CK.

J Neurosurg. 2018 Oct 26;131(3):790-798.
Postoperative seizure outcome-guided machine learning for interictal electrocorticography in neocortical epilepsy.

Park SC, Chung CK.

J Neurophysiol. 2018 Jun 1;119(6):2265-2275.
Disrupted Resting State Network of Fibromyalgia in Theta frequency.

Choe MK, Lim M, Kim JS, Lee DS, Chung CK.

Sci Rep. 2018 Feb 1;8(1):2064.
감각운동통합 상지 제어 뇌-컴퓨터 인터페이스 개발, 연구재단, 2016-2020
작업기억의 기전, 연구재단, 2018-2020
92

이철주 사회과학대학 언론정보학과

  • 연구실/전공분야헬스커뮤니케이션, 소셜마케팅, 과학커뮤니케이션, 환경커뮤니케이션
  • 연구분야(AI 원천기술)Language & Cognition, AI Law & Ethics, Text Mining
  • 연구분야(X+AI)Humanities/Social Sciences, Medicine, Media + AI

대표논문

Chul-joo Lee, Kwanho Kim, & Bee-ah Kang (2019). A moderated mediation model of the relationship between media, social capital, and cancer knowledge. Health Communication. 34, 577-588. [Lead Paper]
Chul-joo Lee & Dongyoung Sohn (2016). Mapping the social capital research in communication: A bibliometric analysis. Journalism & Mass Communication Quarterly, 93(4), 728-749. [Lead Paper]
Chul-joo Lee & Jennifer Kam (2015). Why does social capital matter in health communication campaigns? Communication Research, 42(4), 459-481. [Lead Paper]
Andy Tan, Chul-joo Lee, & Jiyoung Chae (2015). Exposure to health (mis)information: Lagged effects on young adults’ health behaviors and potential pathways. Journal of Communication, 65(4), 674-698.
Chul-joo Lee (2014). The role of social capital in health communication campaigns: The case of the National Youth Anti-Drug Media Campaign. Communication Research, 41(2), 208-235.
91

김아영 공과대학 기계공학부

  • 연구실/전공분야로봇 인식 및 공간 지능 연구실
  • 연구분야(AI 원천기술)Vision & Perception,Autonomous Driving,Robotics & Action
  • 연구분야(X+AI)Manufacturing

대표논문

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.
90

이지연 약학대학 제약학과

  • 연구실/전공분야약화학생물학 연구실
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)Medicine, Pharma

대표논문

89

정지훈 치의학대학원 치의학과

  • 연구실/전공분야계산신경과학 연구실
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)Bio, Brain, Medicine

대표논문

Byeong-Min Lee*, Chisong Lee*, Shayan Fakhraei Lahiji, Ui-Won Jung , Gehoon Chung#, Hyungil Jung# Dissolving Microneedles for Rapid and Painless Local Anesthesia. Pharmaceutics (2020) 12(4):366.
88

오성회 공과대학 전기정보공학부

  • 연구실/전공분야로봇학습 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Robotics & Action
  • 연구분야(X+AI)Manufacturing

대표논문

87

이규철 자연과학대학 물리천문학부

  • 연구실/전공분야Quantum Electronic Nanomaterials and Nanodevices (QuENN) Group
  • 연구분야(AI 원천기술)AI Chip
  • 연구분야(X+AI)Brain, Energy

대표논문

86

김건희 공과대학 컴퓨터공학부

  • 연구실/전공분야시각 및 학습 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Language & Cognition
  • 연구분야(X+AI)

대표논문

85

홍성욱 자연과학대학 생명과학부

  • 연구실/전공분야과학사연구실
  • 연구분야(AI 원천기술)AI Law & Ethics
  • 연구분야(X+AI)Arts, Humanities/Social Sciences, Manufacturing

대표논문

<포스트휴먼 오디세이>
"인공지능은 인간을 차별하는가?"
<크로스 사이언스>
<미래는 오지 않는다>
<홍성욱의 과학 에세이>
인공지능: 과학, 역사, 철학
인공지능의 윤리적, 법적, 사회적 문제들
인공지능과 차별
84

염헌영 공과대학 컴퓨터공학부

  • 연구실/전공분야분산 시스템 연구실
  • 연구분야(AI 원천기술)AI Platform, Data Intelligence
  • 연구분야(X+AI)Logistics, Manufacturing

대표논문

83

고봉찬 경영대학 경영학과

  • 연구실/전공분야Investments, Asset Pricing, Corporate Finance, and Derivatives
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)Humanities/Social Sciences, Finance, Commerce

대표논문

한국거래소의 초단위 거래자료 빅데이터를 분석하여 외환위기 당시 외국인 투자자의 영향을 자세히 분석한 논문을 재무금융 분야 세계 톱저널인 Journal of Financial Economics (Vol. 54, No. 2, 1999)에 게재함으로써, 한국거래소 거래자료 이터를 분석한 최초의 논문으로서 한국거래소를 전세계에 널리 알리는 쾌거를 이루었음.
전세계 주식수익률 빅데이터를 분석하여 각국 주식수익률 결정의 공통적인 팩터와 전세계의 공통적인 팩터가 어떻게 다른지를 분석하여 자산가격결정 분야에서 팩터모형의 새로운 연구방향을 제시하는 기여를 하였으며, 해당 논문은  재무금융 분야 세계 톱저널인 Review of Financial Studies (Vol. 24, No. 8, 2011)에 게재하였음.
과제명: 극단적 주식수익률의 반전현상과 복권성향의 투자행태에 관한 연구
연구비 지원기관: 한국연구재단 일반공동연구
연구수행 기간: 2014.12.01~2015.11.30
과제명: Do Domestic Investors Have an Edge? The Trading Experience of Foreign Investors in Korea
연구비 지원기관: 한국학술진흥재단 국제협동연구(우수연구성과 사례로 사후 선정됨)
연구수행 기간: 2004.12.01~2005.11.30
82

한규섭 사회과학대학 언론정보학과

  • 연구실/전공분야정치커뮤니케이션
  • 연구분야(AI 원천기술)AI Law & Ethics
  • 연구분야(X+AI)Humanities/Social Sciences

대표논문

-
81

이근 사회과학대학 경제학부

  • 연구실/전공분야경제추격론 (기술경제학, 기업조직론), 비교경제체제론, 경제발전론, 중국경제
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)Humanities/Social Sciences, Manufacturing, 기술혁신

대표논문

When an Importer’s Protection of IPR Interacts with an Exporter’s Level of Technology: Comparing the Impacts on the Exports of the North and South (with Wonkyu Shin and Walter G. Park). World Economy. 2015.
Changing Performance of Business Groups over Two Decades: Technological Capabilities and Investment Inefficiency in Korean Chaebols (with Kineung Choo, Keunkwan Ryu and Jungmo Yoon).
80

이경수 공과대학 기계공학부

  • 연구실/전공분야Vehicle Dynamics & Control Laboratory
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

79

김현진 의과대학 의과학과

  • 연구실/전공분야생체자기공명연구실
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)Brain, Medicine

대표논문

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)
78

박우진 공과대학 산업공학과

  • 연구실/전공분야삶향상기술 연구실
  • 연구분야(AI 원천기술)Human-AI Interaction, Autonomous Driving
  • 연구분야(X+AI)User Experience

대표논문

77

서종모 공과대학 전기정보공학부

  • 연구실/전공분야전기-의학 융합연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Robotics & Action, Human-AI Interaction, Data Intelligence, AI Law & Ethics, Autonomous Driving
  • 연구분야(X+AI)Bio, Brain, Medicine

대표논문

76

박건수 공과대학 산업공학과

  • 연구실/전공분야Operations Management, Inventory control, Global supply chain
  • 연구분야(AI 원천기술)Learning & Reasoning, AI Platform, Data Intelligence
  • 연구분야(X+AI)Finance, Logistics, Manufacturing

대표논문

75

박태성 자연과학대학 통계학과

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

대표논문

74

이종호 공과대학 전기정보공학부

  • 연구실/전공분야Laboratory for the Imaging Science and Technology
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception
  • 연구분야(X+AI)Bio, Brain, Medicine

대표논문

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
73

전화숙 공과대학 컴퓨터공학부

  • 연구실/전공분야이동 컴퓨팅 및 통신 연구실
  • 연구분야(AI 원천기술)Autonomous Driving
  • 연구분야(X+AI)Manufacturing, Energy

대표논문

"Energy-efficient channel management scheme for cognitive radio sensor networks," IEEE Transactions on Vehicular Technology, 2011(DOI:  10.1109/TVT.2011.2128355 ).
"Collaborative sensing management for cognitive radio networks with reporting overhead," IEEE Transactions on Wireless Communications, 2013 (DOI:  10.1109/TWC.2012.12.111813) .
"Performance analysis of neighbor discovery process in Bluetooth Low Energy networks," IEEE Transactions on Vehicular Technology, 2017(DOI:  10.1109/TVT.2016.2558194).
"A graph-based handover scheduling for heterogeneous vehicular networks," IEEE Access,  2018 (DOI: 10.1109/ACCESS.2018.2870889).
"Adaptive Uplink Rate Control for Confirmed Class A Transmission in LoRa Networks," IEEE Internet of Things Journal, 2020 (DOI: 10.1109/JIOT.2020.2986494).
72

윤용태 공과대학 전기정보공학부

  • 연구실/전공분야전력시스템 및 경제 연구실
  • 연구분야(AI 원천기술)Data Intelligence, Energy AI
  • 연구분야(X+AI)Energy

대표논문

SH Oh, SW Kim, YT Yoon, Real-time Reconfiguration Strategy of Self-adequate Distribution Network based on Deep Reinforcement Learning, CIGRE Symposium 2019, Aalborg, Denmark, 4-7 June 2019.
71

송현오 공과대학 컴퓨터공학부

  • 연구실/전공분야머신러닝 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Robotics & Action, AI Security
  • 연구분야(X+AI)Medicine, Finance

대표논문

Learning Discrete and Continuous Factors of Data via Alternating Disentanglement (ICML19)
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization (ICML19)
EMI: Exploration with Mutual Information (ICML19)
End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization (CVPR19)
[뉴럴 프로세싱 시스템 연구/16세부]Deep adversarial reinforcement learning via expert video demonstrations, 삼성전자(주)/민간지원사업, 2017-2020
머신러닝 기반 Storage 품질 예측 시스템의 향상을 위한 최적화기반 data augmentation 방법에 관한 연구, 삼성전자(주)/민간지원사업, 2019-2024
데이터간 범용적인 상호 유사성 추론을 위한 딥러닝 모형 연구, 과학기술정보통신부/이공분야기초연구사업전략공모사업, 2017-2020
70

정현훈 의과대학 산부인과학교실

  • 연구실/전공분야산부인과
  • 연구분야(AI 원천기술)AI Platform, Human-AI Interaction
  • 연구분야(X+AI)Medicine

대표논문

69

강형진 의과대학 소아과학교실

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

대표논문

68

문일경 공과대학 산업공학과

  • 연구실/전공분야공급망관리 연구실
  • 연구분야(AI 원천기술)logistics & simulation
  • 연구분야(X+AI)Logistics, Manufacturing

대표논문

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
67

이정은 생활과학대학 식품영양학과

  • 연구실/전공분야영양역학 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning
  • 연구분야(X+AI)Bio, Medicine, Food, Nutrition

대표논문

Development of a Smartphone Application for Dietary Self-Monitoring. Front Nutr. 2019;6:149
Association of depression and anxiety disorder with the risk of mortality in breast cancer: A National Health Insurance Service study in Korea. Breast Cancer Res Treat. 2020;179(2):491-498
Use of a Mobile Application for Self-Monitoring Dietary Intake: Feasibility Test and an Intervention Study. Nutrients. 2017;9(7):pii: E748
Red meat intake, CYP2E1 and PPARγ polymorphisms, and colorectal cancer risk. Eur J Cancer Prev. 2019;28(4):304-310
66

고형석 공과대학 전기정보공학부

  • 연구실/전공분야그래픽스 및 미디어 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception
  • 연구분야(X+AI)Manufacturing

대표논문

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.
65

이창현 의과대학 영상의학교실

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

대표논문

64

정의철 미술대학 디자인학부

  • 연구실/전공분야인간중심통합디자인연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Human-AI Interaction, Autonomous Driving
  • 연구분야(X+AI)Arts, Design

대표논문

63

권일웅 행정대학원 행정학과

  • 연구실/전공분야조직경제학, 산업조직론, 노동경제학
  • 연구분야(AI 원천기술)AI and Labor Force
  • 연구분야(X+AI)Humanities/Social Sciences, Government Policy and Regulation

대표논문

"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.
62

권준수 자연과학대학 뇌인지과학과

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

대표논문

강박증 환자에서 machine learning을 이용한 치료반응 차이의 비교
The effects of pharmacological treatment on functional brain connectome in obsessive-compulsive disorder. Biol Psychiatry 2014;75(8):606-614
61

이재용 자연과학대학 통계학과

  • 연구실/전공분야베이지안 통계학 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning
  • 연구분야(X+AI)Bio, Finance, Manufacturing

대표논문

Jaeyong Lee and Steven N. MacEachern. (2020). A New Proof of the Stick-Breaking Construction of Dirichlet Processes. JKSS.
Kyoungjae Lee, Jaeyong Lee and Lizhen Lin. (2019.12) Minimax Posterior Convergence Rates and Model Selection Consistency in High-dimensional DAG Models based on Sparse Cholesky Factors. Annals of Statistics, 47(6), 3413-3437.
Kyoungjae Lee and Jaeyong Lee.(2018).  Optimal Bayesian Minimax Rates for Unconstrained Large Covariance Matrices. Bayesian Analysis, 13(4), 1215-1233.
Seongil Jo, Jaeyong Lee, Peter Muller, Fernando A. Quintana & Lorenzo Trippa. (2017). Dependent Species Sampling Models for Spatial Density Estimation. Bayesian Analysis, 12(2), 379-406.
Sarat C. Dass, Jaeyong Lee, Kyoungjae Lee & Jonghun Park. (2017). Laplace based approximate posterior inference for differential equation models. Statistics and Computing, 27(3), 679-698.
인공지능과 빅데이터 분석을 위한 베이즈 추론의 수학적 기반 이론 연구. 과학기술정보통신부. 2018.09.01-2023.08.31.
신뢰도 검사시 불량발생 리스크, 추가 샘플링 확보에 따른 리스크 감소 대책 등에 대한 통계적 확률적 연구. 삼성전자. 2018.09.01-2023.08.31.
카드 거래 자료를 이용한 카드 고객 거래 패턴 분석. 코나아이(주). 2019.01.01-2019.05.31.
60

이유리 생활과학대학 의류학과

  • 연구실/전공분야패션 머천다이징 랩
  • 연구분야(AI 원천기술)Learning & Reasoning, Human-AI Interaction, Data Intelligence
  • 연구분야(X+AI)Humanities/Social Sciences

대표논문

59

임용 법학전문대학원 법학과

  • 연구실/전공분야경제법
  • 연구분야(AI 원천기술)AI Law & Ethics
  • 연구분야(X+AI)Humanities/Social Sciences, Commerce, Competition Policy

대표논문

인공지능과 시장경쟁: 데이터에 대한 규율을 중심으로 한국경제포럼  공동(Book Chapter)  201910
Tech Wars: Return of the Conglomerate - Throwback or Dawn of a New Series for Competition in the Digital Era? Journal of Korean Law  단독  202002
경쟁자의 비용 증대를 통한 배제 전략의 경쟁법적 고찰 서울법학 서울시립대 법학연구소 단독  201902
58

정교민 공과대학 전기정보공학부

  • 연구실/전공분야머신 인텔리전스 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Language & Cognition
  • 연구분야(X+AI)

대표논문

Hyeongu Yun, Yongkeun Hwang and Kyomin Jung, Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding , AAAI Conference on Artificial Intelligence (AAAI), Jan 2020, New York City, New York, USA
Hyoungwook Nam, Segwang Kim, Kyomin Jung, Number Sequence Prediction Problems and Computational Powers of Neural Network Models , AAAI Conference on Artificial Intelligence (AAAI)- (Oral), Jan 2019, Honolulu, Hawaii, USA
Seunghyun Yoon, Joongbo Shin, Kyomin Jung, Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering , Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2018, New Orleans, LA, USA
논리적 추론을 위한 딥러닝 아키텍쳐 개발, 삼성전자 미래기술육성센터, 2019-2022
대화 상황과 감정 인지형 인공지능 대화 시스템 개발, KEIT, 2017-2022
57

손석우 자연과학대학 지구환경과학부

  • 연구실/전공분야날씨/기후역학실험실
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

56

Bernhard Egger 공과대학 컴퓨터공학부

  • 연구실/전공분야컴퓨터 시스템 및 플랫폼 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, AI Platform, AI Chip
  • 연구분야(X+AI)

대표논문

Barend Harris, Inpyo Bae, and Bernhard Egger. "Architectures and algorithms for on-device user customization of CNNs." In Integration, the VLSI Journal, Volume 67, July 2019.
Inpyo Bae, Barend Harris, Hyemi Min, and Bernhard Egger. "Auto-Tuning CNNs for Coarse-Grained Reconfigurable Array-based Accelerators." Presented at the 2018 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES'18) and in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Volume 37, Issue, 11; November 2018.
Younghyun Cho, Surim Oh, and Bernhard Egger. "Performance Modeling of Parallel Loops on Multi-Socket Platforms using Queueing Systems." In IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 31, Issue 2; February 2020.
Younghyun Cho, Camilo A.C. Guzman, and Bernhard Egger. "Maximizing System Utilization via Parallelism Management for Co-Located Parallel Applications." In Proceedings of the the 2018 International Conference on Parallel Architectures and Compilation (PACT'18), Limassol, Cyprus, November 2018.
Changyeon Jo, Youngsu Cho, and Bernhard Egger. "A Machine Learning Approach to Live Migration Modeling." In Proceedings of the 2017 ACM Symposium on Cloud Computing (SoCC'17), Santa Clara, USA, September 2017.
Efficient Mapping and Scheduling of Resource and Dataflow for NPU Architecture Search, 삼성전자, 2020
Exploring the Effect of Data Compression on Runtime and Accuracy of DNNs, SK텔레콤, 2018-2020
H/W–컴파일러 수직적 통합 최적화된 임베디드 DNN 프로세서연구, 삼성전자, 2017-2020
55

임도빈 행정대학원 행정학과

  • 연구실/전공분야
  • 연구분야(AI 원천기술)AI Law & Ethics
  • 연구분야(X+AI)Humanities/Social Sciences

대표논문

저서
임도빈. (2021). 더 좋은 나라, 이렇게 하면 어떨까?:한국 사회가 묻고, 임도빈이 답하다. 서울:윤성사
엄석진 [외]. (2021). AI와 미래행정=AI and future administration. 서울: 박영사. 
임도빈. (2020). 비교행정. 백완기, 박종민(편). 학문연구의 동향과 쟁점 행정학 (pp.131-152). 서울: 대한민국학술원.


논문
임도빈. (2021). 정책과 문화예술의 관계: 코로나 19 이후의 변화를 중심으로. 문화예술융합연구, 2(1), 5-25.
정윤진, 경규웅, 임도빈. (2021). 공공봉사동기와 사회적 영향력이 직무만족에 미치는 영향: 공공서비스 개인-조직 적합성의 관점에서. 행정논총, 59(2), 175-200.
Chung, K. H., & Im, T. (2021). Happiness in developing countries: can government competitiveness substitute for formal institutions?. International Review of Administrative Sciences, 00208523211000421.
정윤진, 김필, 임도빈. (2021). 지방․지역인재 우대 인사정책에 대한 공무원의 태도.한국인사행정학회보, 20(1),37-66.
Im, T., & Campbell, J. W. (2020). Coordination, Incentives, and Persuasion: South Korea’s Comprehensive Approach to COVID-19 Containment. Korean Journal of Policy Studies, 35(3), 119-139."
54
  • 연구실/전공분야보건경제학연구실(II)
  • 연구분야(AI 원천기술)AI Law & Ethics
  • 연구분야(X+AI)Bio, Humanities/Social Sciences, Medicine

대표논문

53

오민환 데이터사이언스대학원

  • 연구실/전공분야Decision-Making Algorithms, Reinforcement Learning
  • 연구분야(AI 원천기술)Learning & Reasoning
  • 연구분야(X+AI)

대표논문

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
52

이남인 인문대학 철학과

  • 연구실/전공분야현상학
  • 연구분야(AI 원천기술)AI Law & Ethics
  • 연구분야(X+AI)Humanities/Social Sciences

대표논문

Edmund Husserls Phaenomenologie der Instinkte, Dordrecht/Boston/London: Kluwer Academic Publishers,1993.
『현상학과 해석학』, 서울: 서울대학교 출판부, 2004.
『지각의 현상학. 후설과 메를로-퐁티』, 파주: 한길사, 2013.
『예술본능의 현상학』, 파주: 서광사, 2018.
Experience and Evidence(Husserl Studies 23(2007))
51

임재현 경영대학 경영학과

  • 연구실/전공분야Sustainable Operations Management, Supply Chain and Logistics Management, Data Analytics
  • 연구분야(AI 원천기술)Learning & Reasoning, AI Platform, Data Intelligence
  • 연구분야(X+AI)Commerce, Energy, Manufacturing, Logistics

대표논문

Optimal Ratcheting in Executive Compensation. Decision Analysis, accepted. with I. Hwang, Y. Kim.

Got Organic Milk? Joint Inventory Model with Supply Uncertainties and Partial Substitution. Operations Research Letters, 49(5), 2021. with D. Jeon, Z. Peng, Y. Rong.

Why Have Voluntary Time-of-Use Tariffs Fallen Short in the Residential Sector? Production & Operations Management, 29(3), 2020. with D.G. Choi, K. Murali, V. Thomas

Money Well Spent? Operations, Mainstreaming, and Fairness of Fair Trade. Production & Operations Management, 28(12), 2019. with H.Y. Mak, S.J. Park

The Effects of Ecolabels and Environmental Regulation on Green Product Development. Manufacturing & Service Operations Management, 21(3), 2019. with K. Murali, N.C. Petruzzi

Promoting Clean Technology Products: To Subsidize Products or Service Infrastructure? Service Science, 11(2), 2019. with G. Ma, H.Y. Mak, Z. Wan

Beyond the Speed-Price Tradeoff. MIT Sloan Management Review, 59(4), Summer, 2018. with J. Acimovic, H.Y. Mak
50

조정효 사범대학 물리교육과

  • 연구실/전공분야통계물리, 데이터사이언스, 기계학습, 계산생물학, 융합과학과 교육
  • 연구분야(AI 원천기술)Learning & Reasoning, Data Intelligence
  • 연구분야(X+AI)Bio, Brain, Medicine

대표논문

Hoang DT, Song J, Periwal V, and Jo J. Network inference in stochastic systems from neurons to currencies: Improved performance at small sample size, Phys Rev E, 99:023311 (2019)
Song J, Marsili M, and Jo J. Resolution and relevance trade-offs in deep learning, Journal of Statistical Mechanics, 12:123406 (2018)
Hoang DT, Jo J and Periwal V. Data-driven inference of hidden nodes in networks, Phys Rev E, 99:042114 (2019)
Cubero RJ, Jo J, Marsili M, Roudi Y and Song J. Statistical criticality arises in most informative representations, Journal of Statistical Mechanics, 6:063402 (2019)
Xu J and Jo J. Immunological recognition by articial neural networks, Journal of Korean Physical Society, 73:1908-1917 (2018)
Dynamics Inference from Time Series Data, NRF, 2019.06.01 - 2022.02.28
49

김형주 공과대학 컴퓨터공학부

  • 연구실/전공분야인터넷 데이터베이스 연구실
  • 연구분야(AI 원천기술)Data Intelligence
  • 연구분야(X+AI)Data Preprocessing

대표논문

Hye-Won Lim; Hyoung-Joo Kim, "Tensor-based tag emotion aware recommendation with probabilistic ranking", KSII Transactions on Internet and Information Systems, vol. 13, no. 12, pp. 5826-5841, 2019
Hye-Won Lim; Hyoung-Joo Kim, "Item recommendation using tag emotion in social cataloging services", Expert Systems with Applications 89, pp.179-187, 2017
Hee-Gook Jun; Dong-Hyuk Im; Hyoung-Joo Kim, "An RDF Metadata-based Weighted Semantic Pagerank Algorithm", International Journal of Web & Semantic Technology, vol. 7 no. 2 pp. 11-24, Apr. 2016
Woo-Hyun Lee, Hee-Gook Jun, and Hyoung-Joo Kim, "Hadoop Mapreduce Performance Enhancement Using In-Node Combiners", International Journal of Computer Science & Information Technology, vol. 7 no. 5 pp. 1-18, Oct. 2015
Hyunwoo Kim, Taewhi Lee, and Hyoung-Joo Kim, "A Parallel Tag Affinity Computation for Social Tagging Systems using MapReduce", International Journal of Big Data Intelligence, vol. 1 no. 3 pp. 141-150, 2014
삼성전자 반도체부문을 위한 Data Scientist 교육,  2018년 ~ 현재
48

양인순 공과대학 전기정보공학부

  • 연구실/전공분야Stochastic Control, Optimization, Reinforcement Learning
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

47

문병로 공과대학 컴퓨터공학부

  • 연구실/전공분야최적화 및 금융공학 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Data Intelligence, Optimization Algorithms
  • 연구분야(X+AI)Finance, Logistics, Manufacturing

대표논문

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
46

유승주 공과대학 컴퓨터공학부

  • 연구실/전공분야컴퓨터 구조 메모리 연구소
  • 연구분야(AI 원천기술)AI Platform
  • 연구분야(X+AI)

대표논문

45

김태완 공과대학 조선해양공학과

  • 연구실/전공분야Computer Aided Design and Information Technology Lab
  • 연구분야(AI 원천기술)Learning & Reasoning, Robotics & Action, Autonomous Driving
  • 연구분야(X+AI)Finance, Logistics, Manufacturing

대표논문

44

황대희 자연과학대학 생명과학부

  • 연구실/전공분야시스템 메디슨 실험실
  • 연구분야(AI 원천기술)Learning & Reasoning
  • 연구분야(X+AI)Bio, Medicine

대표논문

43

정의철 서울대학교병원 보라매

  • 연구실/전공분야성형외과
  • 연구분야(AI 원천기술)Vision & Perception,Robotics & Action
  • 연구분야(X+AI)Medicine

대표논문

42

이원종 융합과학기술대학원 지능정보융합학과

  • 연구실/전공분야Applied Data Science Lab
  • 연구분야(AI 원천기술)Learning & Reasoning
  • 연구분야(X+AI)

대표논문

Choi, Daeyoung, and Wonjong Rhee. "Utilizing class information for deep network representation shaping." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 33. 2019.
Shin, Changho, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, and Wonjong Rhee. "Subtask gated networks for non-intrusive load monitoring." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 1150-1157. 2019.
Jung, Wonkyung, Daejin Jung, Sunjung Lee, Wonjong Rhee, and Jung Ho Ahn. "Restructuring batch normalization to accelerate CNN training." SysML (2018).
Yu, Wei, Wonjong Rhee, Stephen Boyd, and John M. Cioffi. "Iterative water-filling for Gaussian vector multiple-access channels." IEEE Transactions on Information Theory 50, no. 1 (2004): 145-152.
Rhee, Wonjong, and John M. Cioffi. "On the capacity of multiuser wireless channels with multiple antennas." IEEE Transactions on Information Theory 49, no. 10 (2003): 2580-2595.
정보이론 및 최적화이론을 활용한 딥러닝의 수학적 원리 및 응용 연구, 연구재단/중견, 2017.9~2020.8
최신 딥러닝 기법을 이용한 반도체 소자 모델링 기법 혁신, 하이닉스, 2019.3~2019.12
SKINET AutoML 구현을 위한 HPO (Hyper Parameter Optimization)및  NAS(Neural Architecture Search) 연구, SK Telecom, 2018.4~2018.12
41

류경석(Ernest Ryu) 자연과학대학 수리과학부

  • 연구실/전공분야류경석 교수 연구실
  • 연구분야(AI 원천기술)Deep Learning Theory, Optimization
  • 연구분야(X+AI)

대표논문

A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast. J. Lee, C. Park, E. K. Ryu, NeurIPS, 2021.
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k2) Rate on Squared Gradient Norm. T. Yoon and E. K. Ryu, International Conference on Machine Learning (long presentation), 2021.
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points. A. No, T. Yoon, S. Kwon, and E. K. Ryu, International Conference on Machine Learning, 2021.
40

안현기 사범대학 영어교육과

  • 연구실/전공분야영어음성학, 듣기교육
  • 연구분야(AI 원천기술)Language & Cognition
  • 연구분야(X+AI)Humanities/Social Sciences

대표논문

39

송인성 경영대학 경영학과

  • 연구실/전공분야Marketing Management, Marketing Research, Marketing Modeling
  • 연구분야(AI 원천기술)Marketing analytics
  • 연구분야(X+AI)Marketing

대표논문

38

차지욱 사회과학대학 심리학과

  • 연구실/전공분야커넥톰연구실/신경과학
  • 연구분야(AI 원천기술)Learning & Reasoning, Brain & Mind
  • 연구분야(X+AI)Neuroscience, Bio, Humanities/Social Sciences, Medicine,Brain

대표논문

"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
37

박종헌 공과대학 산업공학과

  • 연구실/전공분야Information Management Lab
  • 연구분야(AI 원천기술)Learning & Reasoning, Language & Cognition
  • 연구분야(X+AI)Arts, Finance, Manufacturing

대표논문

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.
36

Myunghee Cho Paik (조명희) 자연과학대학 통계학과

  • 연구실/전공분야생물통계 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Data Intelligence
  • 연구분야(X+AI)Medicine, Commerce, Manufacturing

대표논문

Contextual multi-armed bandit algorithm for semiparametric reward model. presented at ICML 2019
Doubly Robust Lasso Bandit. presented at NeurIPs 2019
Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric.  presented at ACML 2019 and published at Machine Learning
Lipschitz continuous autoencoders in application to anomaly detection.  accepted for AISTAT 2020
Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation. published at CSDA
딥러닝의 통계적 접근: 의료영상자료를 위한 합성곱 신경망 모형의 새로운 통계적 추론 방법 연구 (연구재단 중견연구, 2017-03-01 - 2020-02-29)
35

정연석 약학대학 제약학과

  • 연구실/전공분야면역학
  • 연구분야(AI 원천기술)Data Intelligence
  • 연구분야(X+AI)Bio, Pharma

대표논문

Atherogenic dyslipidemia promotes autoimmune follicular helper T cell responses via IL-27.
Nat Immunol. 2018 Jun;19(6):583-593. doi: 10.1038/s41590-018-0102-6
IL-27 confers a protumorigenic activity of regulatory T cells via CD39.
Proc Natl Acad Sci U S A. 2019 Feb 19;116(8):3106-3111.
Fibrinogen cleavage products and Toll-like receptor 4 promote the generation of programmed cell death 1 ligand 2-positive dendritic cells in allergic asthma.
J Allergy Clin Immunol. 2018 Aug;142(2):530-541
Proatherogenic conditions promote autoimmune T helper 17 cell responses in vivo.
Immunity. 2014 Jan 16;40(1):153-65
Follicular regulatory T cells expressing Foxp3 and Bcl-6 suppress germinal center reactions.
Nat Med. 2011 Jul 24;17(8):983-8.
34

윤성로 공과대학 전기정보공학부

  • 연구실/전공분야인공지능 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Language & Cognition, AI Platform, AI Chip, Data Intelligence, AI Security
  • 연구분야(X+AI)Bio, Medicine, Pharma, Finance, Manufacturing, Energy

대표논문

33

박성호 경영대학 경영학과

  • 연구실/전공분야계량마케팅
  • 연구분야(AI 원천기술)AI Platform, Data Intelligence
  • 연구분야(X+AI)Online Advertising, Digital Marketing, Retailing

대표논문

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.
32

나종연 생활과학대학 소비자학과

  • 연구실/전공분야Consumer Information & Retailing Lab.
  • 연구분야(AI 원천기술)Human-AI Interaction, Data Intelligence, AI Law & Ethics
  • 연구분야(X+AI)Humanities/Social Sciences, Commerce

대표논문

"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.
31

이교구 융합과학기술대학원 지능정보융합학과

  • 연구실/전공분야Music and Audio Research Group
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Language & Cognition
  • 연구분야(X+AI)Arts, Brain

대표논문

Hyeong-Seok Choi, Changdae Park, and Kyogu Lee, “From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech”, to appear in Proceedings of International Conference on Learning epresentations (ICLR), 2020
Jie Hwan Lee, Hyeong-Seok Choi, and Kyogu Lee, “Audio query-based music source separation”, in Proceedings of International Society for Music Information Retrieval Conference (ISMIR), 2019
Juheon Lee, Hyeong-Seok Choi, Chang-bin Jeon, Junghyun Koo, and Kyogu Lee, “Adversarially Trained End-to-end Korean Singing Voice Synthesis System”, in Proceedings of Interspeech, 2019, Best Student Paper Award
Juheon Lee, Sungkyun Chang, Sangkeun Choe, and Kyogu Lee, “COVER SONG IDENTIFICATION USING SONG-TO-SONG CROSS-SIMILARITY MATRIX WITH CONVOLUTIONAL NEURAL NETWORK”, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Yoonchang Han, Jaehun Kim, Kyogu Lee, “Deep convolutional neural networks for predominant instrument recognition in polyphonic music”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 25(1), pp. 208-221, 2017
"자기회귀적 적대적 생성 신경망 기반의 가창 합성 및 평가 모델 연구", 미래창조과학부/전략과제, 2017.11.01~2020.10.31
"심상의 소리: 적대적 신경망을 활용한 크로스-모달 오디오 합성/변환 연구", 과학기술정보통신부/원천기술개발사업,  2017.11.01~2020.12.31
"뇌·인지 발달과정의 기초-영아단계 모사형 실세계 상호작용 경험 기반 객체 관련 개념의 기계학습 기술, 과학기술정보통신부/정보통신방송연구개발사업", 2019.04.01~2022.12.31
30

임채영 자연과학대학 통계학과

  • 연구실/전공분야공간통계학연구실
  • 연구분야(AI 원천기술)Learning & Reasoning
  • 연구분야(X+AI)Humanities/Social Sciences, Brain, Medicine

대표논문

29

정민화 인문대학 언어학과

  • 연구실/전공분야음성언어처리연구실
  • 연구분야(AI 원천기술)Language & Cognition
  • 연구분야(X+AI)Humanities/Social Sciences

대표논문

Seung Hee Yang, Minhwa Chung (2019). Self-imitating Feedback Generation Using GAN for Computer-Assisted Pronunciation Training. Proceedings of INTERSPEECH 2019, 1881-1885.
Hyejin Hong, Sunhee Kim, Minhwa Chung (2014). A corpus-based analysis of English segments produced by Korean learners. Journal of Phonetics, 46, 52-67.
Sunhee Kim, Yumi Hwang, Daejin Shin, Chang-Yeal Yang, Seung-Yeun Lee, Jin Kim, Byunggoo Kong, Jio Chung, Namhyun Cho, Ji-Hwan Kim, Minhwa Chung (2013). VUI development for Korean people with dysarthria. Journal of Assistive Technology (JAT), 7(3), 188-200.
Minsu Na, Minhwa Chung (2016). Optimizing Vocabulary Modeling for Dysarthric Speech Recognition. Proceedings of ICCHP 2016, 507-510.
Seung Hee Yang, Minhwa Chung (2017). ​Characterization Of Phonetic And Phonological Error Patterns Of Korean Produced By Chinese Learners. Proceedings of Oriental COCOSDA, 405-410.
119 구급 신고 정보 표준화 및 자료 활용 방안 연구, 산업통상자원부, 2019.10~2022.06
외국인을 위한 음성언어처리 기술 기반의 한국어 말하기 교육 소프트웨어 개발, 한국연구재단,  2015.11~2018.10
발성 장애인을 위한 개인 맞춤형 내장형 명령어 인식기 개발, 지식경제부, 2010.06~2014.05
28

이영기 공과대학 컴퓨터공학부

  • 연구실/전공분야인간 중심 컴퓨터 시스템 연구실
  • 연구분야(AI 원천기술)AI Platform, Human-AI Interaction
  • 연구분야(X+AI)Humanities/Social Sciences, Commerce, Healthcare, Education

대표논문

27

김준범 경영대학 경영학과

  • 연구실/전공분야Marketing Management, Digital Marketing, Data-Driven Marketing
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)Humanities/Social Sciences, Business/Marketing/Management

대표논문

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
26

이상형 의과대학 신경외과학교실

  • 연구실/전공분야뇌종양, 경동맥질환, 퇴행성뇌질환
  • 연구분야(AI 원천기술)Learning & Reasoning, AI Platform, Human-AI Interaction, Data Intelligence
  • 연구분야(X+AI)Brain, Medicine, Pharma

대표논문

25

김홍기 치의학대학원 치의학과

  • 연구실/전공분야의료정보학
  • 연구분야(AI 원천기술)Language & Cognition, AI Platform, Data Intelligence
  • 연구분야(X+AI)Bio, Humanities/Social Sciences, Medicine

대표논문

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)
24

고길곤 행정대학원 행정학과

  • 연구실/전공분야계량분석 및 연구방법론, 정책분석, 의사결정이론, 중국행정개혁
  • 연구분야(AI 원천기술)Data Intelligence, Public Data Analytics and Visualization
  • 연구분야(X+AI)Humanities/Social Sciences

대표논문

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

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