겸무교수 2 페이지 | 서울대학교AI연구원(AIIS)

PEOPLE

Affiliated Faculty

Colleges / Departments
Research Areas (Core AI)
Research Areas (X+AI)
123

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.
122

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.
121

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
120

Lee, Kyogu Department of Intelligence and Information

  • Research LabMusic and Audio Research Group
  • Research Area (Core AI)Learning & Reasoning, Vision & Perception, Language & Cognition
  • Research Area (X+AI)Arts, Brain

PUBLICATIONS

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
119
  • Research LabMolecular Electronics and Nanostructures Laboratory
  • Research Area (Core AI)Learning & Reasoning, Vision & Perception, AI Chip
  • Research Area (X+AI)Brain, Energy

PUBLICATIONS

118

Cho, Hyun-Jae Department of Dentistry

  • Research LabPreventive Dental Medicine
  • Research Area (Core AI)
  • Research Area (X+AI)Bio, Humanities/Social Sciences, Medicine, Dentistry

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)
- 과제명: "빅데이터 기반의 신약 탐색 SW 개발"

 - 연구비 지원 기관: 미래창조 과학부

 - 연구 수행 기간: 2017. 04. 01. ~ 2019. 12. 31.
- 과제명: "WiseKB: 빅데이터 이해 기반 자가학습형 지식베이스 및 추론 기술 개발"

 - 연구비 지원 기관: 과학기술정보통신부

 - 연구 수행 기관: 2013. 05.01. ~ 현재
117

Hwang, Daehee Department of Biological Sciences

  • Research LabSystem Medicine Lab
  • Research Area (Core AI)Learning & Reasoning
  • Research Area (X+AI)Bio, Medicine

PUBLICATIONS

116

Chung, Gehoon Department of Dentistry

  • Research LabSensory Coding, Orofacial Nociception
  • Research Area (Core AI)
  • Research Area (X+AI)Bio, Brain, Medicine

PUBLICATIONS

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.
115

Rhee, Wonjong Department of Intelligence and Information

  • Research LabApplied Data Science Lab
  • Research Area (Core AI)Learning & Reasoning
  • Research Area (X+AI)

PUBLICATIONS

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
114

Yeom, Heonyoung Department of Computer Science and Engineering

  • Research LabDistributed Computing Systems Laboratory
  • Research Area (Core AI)AI Platform, Data Intelligence
  • Research Area (X+AI)Logistics, Manufacturing

PUBLICATIONS

113

Seong, Seung-Yong Department of Medicine

  • Research LabMicrobiology and Immunology
  • Research Area (Core AI)
  • Research Area (X+AI)

PUBLICATIONS

112

Lee, Keun Department of Economics

  • Research LabChinese Economy
  • Research Area (Core AI)
  • Research Area (X+AI)Humanities/Social Sciences, Manufacturing, 기술혁신

PUBLICATIONS

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).
111

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
110

박성호 경영학과

  • Research Lab계량마케팅
  • Research Area (Core AI)AI Platform, Data Intelligence
  • Research Area (X+AI)Online Advertising, Digital Marketing, Retailing

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.
109

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
108

문태섭 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
107

노종선 Department of Electrical and Computer Engineering

  • Research LabCoding and Cryptography Laboratory
  • Research Area (Core AI)privacy preserving machine learning, fully homomorphic encryption algorithms, error correcting codes, information theory
  • Research Area (X+AI)medical image analysis, financial data analysis, private data analysis

PUBLICATIONS

[1] Eunsang Lee, Joon-Woo Lee, Junghyun Lee, Yongjune Kim, Young-Sik Kim, Jong-Seon No, and Wooseok Choi, “Low-complexity deep convolutional neural networks on fully homomorphic encryption using multiplexed parallel convolutions,” accepted for presentation in ICML 2022.

[2] Yongwoo Lee, Joon-Woo Lee, Young-Sik Kim, Yongjune Kim, Hyungchul Kang, and Jong-Seon No, “High-precision and low-complexity approximate homomorphic encryption by error variance minimization,” Accepted in EUROCRYPT 2022 (Top-tier conference, accept ratio: 23.0%).

[3] Joon-Woo Lee, Eunsang Lee, Yongwoo Lee, Young-Sik Kim, and Jong-Seon No, “High-precision bootstrapping of RNS-CKKS homomorphic encryption using optimal minimax polynomial approximation and inverse sine function,” EUROCRYPT 2021, pp. 618-647, Springer, Cham, 2021 (Top-tier conference, accept ratio : 19.5%).

[4] Eunsang Lee, Joon-Woo Lee, Young-Sik Kim, and Jong-Seon No, “Minimax approximation of sign function by composite polynomial for homomorphic comparison,” Accepted for publication in IEEE Transactions on Dependable and Secure Computing, August 2021 (IF : 7.329).

[5] Hee-Youl Kwak, Jae-Won Kim, Hosung Park, and Jong-Seon No, “Optimization of SC-LDPC codes for window decoding with target window sizes,” accepted for publication in IEEE Transactions on Communications, March 2022.

[6] Joon-Woo Lee, Hyungchul Kang, Yongwoo Lee, Wooseok Choi, Jieun Eom, Maxim Deryabin, Eunsang Lee, Junghyun Lee, Donghoon Yoo, Young-Sik Kim, and Jong-Seon No, “Privacy-preserving machine learning with fully homomorphic encryption for deep neural network,” IEEE Access, vol. 10, pp. 30039-30054, 2022.

[7] Eunsang Lee, Joon-Woo Lee, Young-Sik Kim, and Jong-Seon No, “Optimization of homomorphic comparison algorithm on RNS-CKKS scheme,” IEEE Access, vol. 10, pp. 26163-26176, 2022.

[8] Zahyun Koo, Yongwoo Lee, Joon-Woo Lee, Young-Sik Kim, and Jong-Seon No, “Improved reduction between SIS problems over structured lattices,” IEEE Access, vol. 9, pp. 157083-157092, 2021.

[9] Joon-Woo Lee, Young-Sik Kim, and Jong-Seon No, “Analysis of modified shell sort for fully homomorphic encryption,” IEEE Access, vol. 9, pp. 126198-126215, 2021.

[10] J Jeong, Seong-Joon Park, Jae-Won Kim, Jong-Seon No, Ha Hyeon Jeon, Jeong Wook Lee, Albert No, Sunghwan Kim, and Hosung Park, ""Cooperative sequence clustering and decoding for DNA storage system with fountain codes,” Bioinformatics, vol. 37, issue 19, pp. 3136-3143, October 2021.

[11] Dong-Hoon Lee, Young-Sik Kim, and Jong-Seon No, ""Bit security estimation using various information-theoretic measures,” IEEE Access, vol. 9, pp. 140103-140115, 2021.

[12] Yongwoo Lee, Wijik Lee, Young-Sik Kim, and Jong-Seon No, ""Modified pqsigRM: RM code-based signature scheme,"" IEEE Access, vol. 8, pp. 177506-177518, September 2020.

[13] YongWoo Lee, Joon-Woo Lee, Young-Sik Kim, and Jong-Seon No, ""Near-optimal polynomial for modulus reduction using L2-norm for approximate homomorphic encryption,"" IEEE Access, vol. 8, pp. 144321-144330, August 2020.

[14] Zahyun Koo, Jong-Seon No, and Young-Sik Kim, ""Reduction from module-SIS to ring-SIS under norm constraint of ring-SIS,"" IEEE Access, vol. 8, 140998-141006, 2020.

[15] Jinkyu Cho, Young-Sik Kim, and Jong-Seon No, ""Homomorphic computation in Reed-Muller codes,"" IEEE Access, vol. 8, pp. 108622-108628, June 2020.

[16] Eunsang Lee, Young-Sik Kim, Jong-Seon No, Minki Song, and Dong-Joon Shin, ""Modification of FrodoKEM using Gray and error-correcting codes,"" IEEE Access, vol. 7, pp. 179564-179574, December 2019.

[17] Hee-Youl Kwak, Jong-Seon No, and Hosung Park, ""Design of irregular SC-LDPC codes with non-uniform degree distributions by linear programming,"" IEEE Transactions on Communications, vol. 67, no. 4, pp. 2632-2646, April 2019."
106

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
105

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
104

Heo, Seongwook Department of Law

  • Research LabAdministrative Law/Environmental Law/Energy Law/Law and Economics/Privacy Law
  • Research Area (Core AI)AI Platform, Data Intelligence, AI Law & Ethics
  • Research Area (X+AI)Arts, Humanities/Social Sciences, Energy

PUBLICATIONS

한국에서 빅데이터를 둘러싼 법적 쟁점과 제도적 과제 경제규제와 법 서울대학교 법학연구소 단독  20141
스마트그리드와 개인정보보호 법정책 개인정보보호의 법과 정책 박영사 단독  201405
공법이론과 공공정책 (II) - 공공선택이론 관점에서 본 행정재판의 역할 - 공법연구 한국공법학회 단독  201812
103

Lee, Sang Won Department of Law

  • Research LabCriminal Law & Procedure
  • Research Area (Core AI)AI Law & Ethics
  • Research Area (X+AI)Humanities/Social Sciences

PUBLICATIONS

이른바 수사권조정과 형사사법제도 인권과 정의 대한변호사협회 단독  201912
휴리스틱과 검사의 인지편향 형사정책 한국형사정책연구원 단독  201712
The Best Evidence Rule in a Digital Age CURRENT ISSUES IN KOREAN LAW ROBBINS COLLECTION BERKELEY LAW 단독  201408
102

Ye, Sung-Joon Department of Applied Bioengineering

  • Research LabRadiological Physics Laboratory
  • Research Area (Core AI)Vision & Perception
  • Research Area (X+AI)Bio, Medicine

PUBLICATIONS

101

Kim, Hyoung Joo Department of Computer Science and Engineering

  • Research LabInternet Database Lab
  • Research Area (Core AI)Data Intelligence
  • Research Area (X+AI)Data Preprocessing

PUBLICATIONS

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
100

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
99

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
98

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
97

Yu, Jaejun Department of Physics and Astronomy

  • Research LabMaterials with strong electron correlations
  • Research Area (Core AI)Learning & Reasoning, Data Intelligence
  • Research Area (X+AI)Energy, Physics

PUBLICATIONS

"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
96

Chung, Hyun Hoon Department of Medicine

  • Research LabObstetrics and Gynecology
  • Research Area (Core AI)AI Platform, Human-AI Interaction
  • Research Area (X+AI)Medicine

PUBLICATIONS

95

박준용 Department of Statistics

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

PUBLICATIONS

94

Ko, Haksoo Department of Law

  • Research LabLaw and Economics, Data Privacy/Technology Policy/Contract Negotiation
  • Research Area (Core AI)AI Law & Ethics
  • Research Area (X+AI)Humanities/Social Sciences, Medicine, Finance

PUBLICATIONS

인공지능과 시장경쟁 : 데이터에 대한 규율을 중심으로 한국경제포럼  공동  201910
인공지능과 고용차별의 법경제학, 법경제학연구 한국경제법학회  공동  201904
인공지능과 차별 저스티스 한국법학원 공동  201904
93

Choi, Se-Young Department of Dentistry

  • Research LabNeural Network Lab
  • Research Area (Core AI)Learning & Reasoning, Vision & Perception
  • Research Area (X+AI)Brain, Medicine

PUBLICATIONS

Kang MS, Choi TY, Ryu HG, Lee D, Lee SH, Choi SY*, Kim KT*. Autism-like behavior caused by deletion of vaccinia-related kinase 3 is improved by TrkB stimulation. J Exp Med. 2017 Oct 2;214(10):2947-2966. doi: 10.1084/jem.20160974.
Choi TY, Lee SH, Kim YJ, Bae JR, Lee KM, Jo Y, Kim SJ, Lee AR, Choi S, Choi LM, Bang SH, Song MR, Chung J, Lee KJ, Kim SH, Park CS, Choi SY. Cereblon maintains synaptic and cognitive function by regulating BK channel. J Neurosci. 2018 Apr 4;38(14):3571-3583. doi: 10.1523/JNEUROSCI.2081-17.2018.
Noh K, Lee H, Choi TY, Joo Y, Kim SJ, Kim H, Kim JY, Jahng JW, Lee S*, Choi SY*, Lee SJ*. Negr1 modulates anxiety- and depression-like behaviors via interaction with the LIF receptor and Lcn-2 expression. Mol Psychiatry. 2019 Aug;24(8):1189-1205. doi: 10.1038/s41380-018-0347-3.
Park SW, Kim J, Kang M, Lee W, Park BS, Kim H, Choi SY, Yang S, Ahn JH, Yang S. Epidermal electrotherapy for epilepsy. Small. 2018 Jul;14(30):e1801732. doi: 10.1002/smll.201801732.
An H, Cha KM, Choi SY, Shin HC. Data compression of excitatory postsynaptic potentials. Electronics Lett. 2015 Aug 31; 51(18):1407-1409. doi: 10.1049/el.2015.1133.
대뇌피질 신경회로의 기능적 다양성 및 발달기전 규명을 통한 뇌기능 이상 해법 도출 (과학기술정보통신부/중견연구자지원사업) 2016.06.01.-2019.05.31
Ex vivo 기반 해마체 신경망 다채널 분석 기술 개발 (과학기술정보통신부/뇌과학원천기술개발사업) 2013.05.01-2016.04.30
92

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.
91

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
90

Chang, Hyeshik Department of Biological Sciences

  • Research LabHigh-Throughput Biology
  • Research Area (Core AI)Data Intelligence
  • Research Area (X+AI)Bio, Medicine

PUBLICATIONS

H. Chang, J. Yeo, J.-g. Kim, H. Kim, J. Lim, M. Lee, H. H. Kim, J. Ohk, H.-Y. Jeon, H. Lee, H. Jung, K.-W. Kim and V. N. Kim (2018) “Terminal Uridylyltransferases Execute Programmed Clearance of Maternal Transcriptome in Vertebrate Embryos” Molecular Cell, 70(1):72-82.e7.
H. Chang, J. Lim, M. Ha, and V. N. Kim (2014) “TAIL-seq: Genome-wide Determination of Poly(A) Tail Length and 3′ End Modifications” Molecular Cell, 53(6):1044-1052.
J. Lim, M. Ha, H. Chang, S. C. Kwon, D. K. Simanshu, D. J. Patel, and V. N. Kim (2014) “Uridylation by TUT4 and TUT7 marks mRNA for degradation” Cell, 159(6):1365-1376.
J. Cho, H. Chang, S. C. Kwon, B. Kim, Y. Kim, J. Choe, M. Ha, Y. K. Kim and V. N. Kim (2012) “LIN28A is a suppressor of ER-associated translation in embryonic stem cells” Cell, 151: 765-777.
J. Lim, D. Kim, Y. Lee, M. Ha, M. Lee, J. Yeo, H. Chang, J. Song, K. Ahn, V. N. Kim (2018) “Mixed tailing by TENT4A and TENT4B shields mRNA from rapid deadenylation” Science, eaam5794.
89

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)
88

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
87

Shin, Yeong Gil Department of Computer Science and Engineering

  • Research LabComputer Graphcis and Image Processing Lab
  • Research Area (Core AI)Learning & Reasoning
  • Research Area (X+AI)Bio

PUBLICATIONS

Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation
AI기반 의료영상 데이터 Labeling 기술연구, (주)인피니트헬스케어, 2020-04-01~2021-03-31
인공지능기반 파노라마, CT영상 병변 인식 기술개발, (주)오스템임플란트, 2019-12-16~2021-02-15
인공지능 기반 CT 영상 분할 기술 개발, (주)오스템임플란트, 2019-02-01~2019-10-31
86

Jou, Kyung-Chul Department of Western History

  • Research LabModern Western History, Maritime History
  • Research Area (Core AI)
  • Research Area (X+AI)Humanities/Social Sciences

PUBLICATIONS

주요 논문
「해적과 밀수: 아시아와 세계가 만나는 다른 길」, 『명청사연구』, 48 (2017), 1-28.
「대서양 세계의 형성과 '서구의 흥기'」, 『역사학보』, 232 (2016), 1-29.
「민중 마술에서 마녀로: 요하네스 니더의 《개미나라》를 중심으로」, 『서양사연구』, 53 (2015), 229-260.
「《말레우스 말레피카룸》의 악마와 마녀, 마술 개념」,  『서양사연구』, 51 (2014), 215-245.
「마녀 개념의 형성 연구: 《캐논 에피스코피》에서 《말레우스 말레피카룸》까지 」, 『서양사연구』, 48 (2013), 149-185.
「예수회의 북아메리카 전도와 문명간 교류: "예수회 보고서(Jesuit Relations)"를 토대로」, 『서양사연구』, 44 (2011), 1-39.
「콜럼버스의 심성 구조와 해로의 개척: 콜럼버스의 1차 항해를 중심으로」, 『대구사학』, 100 (2010), 413-434.
「스탈 부인과 유럽의 발견」, 『역사학연구』, 33 (2009), 293-318.
「다문화주의에서 "문화전쟁으로 - 네덜란드 이주민 통합 문제」, 『이화사학연구』, 35 (2007), 59-82.
「영화와 집단기억의 재구성: 큐브릭의 전쟁영화를 중심으로」, 『인문논총』, 56 (2006), 1-30.
「네덜란드 동인도회사와 아시아 교역: 세계화의 초기 단계」, 『미국학』, 28 (2005), 1-32.
「영화를 위한 변명 ― 역사와 영화의 관계에 대한 탐색」, 『프랑스사연구』, 2 (1999), 129-145.
「프랑스의 고문서보관소 제도」, 『역사비평』, 36 (1997), 100-107.
「근대 초 서구 상인들의 동구 진출 : 동프로이센의 네덜란드 상인을 중심으로」, 『서양사론』, 53 (1997), 37-58.
「17세기 네덜란드의 국제무역상인 : 얀 얀센 코르버(Jan Jansen Corver)과 한스 반 되른(Hans van Deurn)」, 『경제사학』, 17:1 (1993), 105-151.
 
저서
『18세기 도시 : 교류의 시작과 장소의 역사』, 정병설 외 공저 (파주: 문학동네, 2018).
『그해, 역사가 바뀌다: 세계사에 새겨진 인류의 결정적 변곡점』 (파주: 21세기북스, 2017).
『도시는 기억이다: 공공기념물로 본 서양 도시의 역사와 문화』, 주경철 외 공저 (파주: 서해문집, 2017).
『마녀 : 서구 문명은 왜 마녀를 필요로 했는가』 (서울: 생각의힘, 2016).
『크리스토퍼 콜럼버스, 종말론적 신비주의자』(서울: 서울대학교 출판문화원, 2014).
『근대 유럽의 형성: 16-18세기』, 이영림·주경철·최갑수 공저 (서울: 까치글방, 2011).
『문명과 바다』 (서울: 산처럼, 2009).
『대항해시대: 해상 팽창과 근대 세계의 형성』 (서울: 서울대학교출판부, 2008).
『(신화에서 역사로) 신데렐라 천년의 여행』 (서울: 산처럼, 2005).
『네덜란드: 튤립의 땅, 모든 자유가 당당한 나라』 (서울: 산처럼, 2003).
『테이레시아스의 역사: 서울대 주경철 교수의 역사읽기』 (서울: 산처럼, 2002).
『역사의 기억, 역사의 상상』 (서울: 문학과지성사, 2000).

역서
페르낭 브로델, 『지중해: 펠리페 2세 시대의 지중해 세계』, 주경철 외 공역, 총3권 (서울: 까치글방, 2017).
스티븐 솔로몬, 『물의 세계사: 부와 권력을 향한 인류 문명의 투쟁』, 주경철·안민석 공역 (서울: 민음사).
조이스 애플비, 『가차없는 자본주의: 파괴와 혁신의 역사』, 주경철·안민석 공역 (서울: 까치글방, 2012).
토마스 모어, 『유토피아』 (서울, 을유문화사, 2007).
찰스 P. 킨들버거, 『경제 강대국 흥망사 1500-1990』  (서울: 까치, 2004).
엠마뉘엘 토드, 『제국의 몰락: 미국 체제의 해체와 세계의 재편』 (서울: 까치, 2003).
맛시모 몬타나리, 『유럽의 음식문화』 (서울: 새물결, 2001).
마르크 페로, 『역사와 영화』 (서울: 까치, 1999)
페르낭 브로델, 『물질문명과 자본주의』, 총6권 (서울: 까치, 1995).
85

Lee, Hae-Young Department of Medicine

  • Research LabInternal Medicine
  • Research Area (Core AI)Human-AI Interaction, Data Intelligence
  • Research Area (X+AI)Bio, Medicine

PUBLICATIONS

Artificial intelligence utilized cholesterol profile calculation
Common data modeling
84

Cheon, Jung Hee Department of Mathematical Sciences

  • Research LabHomomorphic Encryption
  • Research Area (Core AI)AI Security, AI Theory
  • Research Area (X+AI)Medicine, Finance, Commerce

PUBLICATIONS

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
83

Yoo, Byung Joon Department of Business Administration

  • Research Lab"Electronic Commerce, Digital Economy, Business Analytics, IT Strategy, AI Applications"
  • Research Area (Core AI)Learning & Reasoning, Data Intelligence
  • Research Area (X+AI)Finance, Commerce

PUBLICATIONS

컨텐츠사용 형태 및 구매데이터 분석, 카카오페이, 2019
생체 건강나이 기반의 심뇌혈관질환 발생 위험 측정모델을 통한 노후필요 자금설계, NIA, 2018
82

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
81

Choi, Hyunyong Department of Physics and Astronomy

  • Research LabUltrafast Quantum Photonics Laboratory
  • Research Area (Core AI)AI Platform
  • Research Area (X+AI)Bio, Energy, Optical system, materials sciences

PUBLICATIONS

Nano Letters 19, 7464−7469 (2019)
Nature Nanotechnology 13, 910-914 (2018)
Nature Communications 9, 351 (2018)
Nano Letters 18, 734 (2018)
Nature Communications 7, 13569 (2016)
80

Kim, Cheongtag Department of Psychology

  • Research LabQuantitative Psychology
  • Research Area (Core AI)Learning & Reasoning, Data Intelligence
  • Research Area (X+AI)Humanities/Social Sciences

PUBLICATIONS

김청택 (2019). 빅데이터를 이용한 심리학 연구 방법. 한국심리학회지: 일반, 38(4), 519-548. DOI : 10.22257/kjp.2019.12.38.4.519
Noh, Y., Lee, D. D., Yang, K., Kim, C., & Zhang, B. (2015). Molecular Learning with DNA Kernel Machines, Biosystems, 137, 73-83.
Preacher, K. J., Zhang, G., Kim, C., & Mels, G. (2013). Choosing the optimal number of factors in exploratory factor analysis: A model selection perspective. Multivariate Behavioral Research, 48, 28-56.
Suh, Y. , Yu, J., Mo, J, Song, L, & Kim (2017).A Comparison of Oversampling Methods on Imbalanced Topic Classification of Korean News Articles, Journal of Cognitive Science, 18, 391-437.
김청택, 이태헌(2002). 뇌와 인지모형: 잠재의미분석을 사용한 문서분류. 한국심리학회지:실험 및 인지, 14(4), 309-320.
79

Kim, Dohun Department of Physics and Astronomy

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

PUBLICATIONS

78

Ahn, Jung Ho Department of Intelligence and Information

  • Research LabSCALable Computer Architecture Laboratory
  • Research Area (Core AI)AI Platform, AI Chip
  • Research Area (X+AI)

PUBLICATIONS

"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
77

Lee, Chul-Joo Department of Communication

  • Research LabHealth Communication, Science Communication, Network Science and Community
  • Research Area (Core AI)Language & Cognition, AI Law & Ethics, Text Mining
  • Research Area (X+AI)Humanities/Social Sciences, Medicine, Media + AI

PUBLICATIONS

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.
76

Lee, Sang-goo Department of Computer Science and Engineering

  • Research LabIntelligent Data System Laboratory
  • Research Area (Core AI)Language & Cognition, Data Intelligence
  • Research Area (X+AI)Commerce

PUBLICATIONS

Taeuk Kim, Jihun Choi, Daniel Edmiston, Sang-goo Lee, Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction, International Conference on Learning Representations, 2020.
Jihun Choi, Taeuk Kim, Sang-goo Lee, A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching, The 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019.
Kang Min Yoo, Youhyun Shin, Sang-goo Lee, Data Augmentation for Spoken Language Understanding via Joint Variational Generation, Thirty-Third AAAI Confernce on Artificial Intelligence (AAAI), 2019.
Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee, Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations, Thirty-Third AAAI Confernce on Artificial Intelligence (AAAI), 2019.
Jihun Choi, Kang Min Yoo, Sang-goo Lee, Learning to Compose Task-Specific Tree Structures, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018.
글로벌 인터넷 빅 텍스트 데이터 실시간 모니터링, 과학기술정보통신부, 2016~2021.
지능형 음성인식을 위한 Q&A 기술 선행 연구, 현대엔지비(주), 2017~.
75

박건웅 통계학과

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

PUBLICATIONS

74

Egger, Bernhard Department of Computer Science and Engineering

  • Research LabComputer Systems and Platform Laboratory
  • Research Area (Core AI)Learning & Reasoning, AI Platform, AI Chip
  • Research Area (X+AI)

PUBLICATIONS

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
73

Moon, Soo-Mook Department of Electrical and Computer Engineering

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

PUBLICATIONS

72

Chun, Byung-Gon Department of Computer Science and Engineering

  • Research LabSoftware Platfom Lab
  • Research Area (Core AI)Learning & Reasoning, AI Platform, AI Chip
  • Research Area (X+AI)

PUBLICATIONS

Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. NSDI 2019.
Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks. EuroSys 2019.
Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies. ATC 2019.
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems. OSDI 2018.
Improving the Expressiveness of Deep Learning Frameworks with Recursion. EuroSys 2018.
(SW 스타랩) 다양한 분석을 고속 수행하는 단일화된 빅데이터 스택 개발
[뉴럴 프로세싱 시스템 연구/17세부] 대규모 클러스터에서 딥러닝 학습을 자동 분산하는 시스템
비디오 튜링 테스트를 통과할 수준의 비디오 스토리 이해 기반의 질의응답 기술 개발
71

Lee, Dongjin Department of Law

  • Research LabCivil Law
  • Research Area (Core AI)AI Law & Ethics
  • Research Area (X+AI)Humanities/Social Sciences, Medicine

PUBLICATIONS

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
70

Song, Wook Department of Physical Education

  • Research LabExercise Physiology
  • Research Area (Core AI)Robotics & Action, Human-AI Interaction, Sport Science /Sport Medicine 과 AI와 접목되는 분야
  • Research Area (X+AI)Bio, Medicine, Sport Science /Sport Medicine 과 AI와 접목되는 분야

PUBLICATIONS

69

Lee, Hun Hee Department of Mathematical Sciences

  • Research Labhttps://sites.google.com/site/hyungbin16/
  • Research Area (Core AI)
  • Research Area (X+AI)

PUBLICATIONS

68

Lee, Sangyeol Department of Statistics

  • Research LabTime Series and Predictive Analytics Lab.
  • Research Area (Core AI)
  • Research Area (X+AI)

PUBLICATIONS

67

Kim, Hongsoo Department of Public Health Sciences

  • Research LabAging Health Policy & System
  • Research Area (Core AI)
  • Research Area (X+AI)Bio, Medicine

PUBLICATIONS

66

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

65

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
64

Lee, Sukjae Department of Philosophy

  • Research LabHistory of Early Modern Western Philosophy
  • Research Area (Core AI)
  • Research Area (X+AI)Humanities/Social Sciences

PUBLICATIONS

63

Lee, Jeongsang Department of Medicine

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

PUBLICATIONS

62

Kwon, Jun Soo Department of Brain and Cognitive Sciences

  • Research LabClinical Cognitive Neuroscience
  • Research Area (Core AI)Language & Cognition, Data Intelligence
  • Research Area (X+AI)Medicine

PUBLICATIONS

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

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

60

Shin, Young Kee Department of Molecular Medicine and Biopharmaceutical Sciences

  • Research LabMolecular Pathology Lab
  • Research Area (Core AI)Data Intelligence
  • Research Area (X+AI)Bio, Medicine, Pharma

PUBLICATIONS

Mi Jeong Kwon, Sae Byul Lee, Jinil Han, Jeong Eon Lee, Jong Won Lee, Gyungyub Gong, Peter D. Beitsch, Seok Jin Nam, Sei Hyun Ahn, Byung-Ho Nam, Young Kee Shin. BCT score predicts chemotherapy benefit in Asian patients with mone receptor-positive, HER2-negative, lymph node-negative breast cancer. PLoS One. 2018 Nov 21;13(11):e0207155. doi: 10.1371/journal.pone.0207155. eCollection 2018
Han J, Choi YL, Kim H, Choi JY, Lee SK, Lee JE, Choi JS, Park S, Choi JS, Kim YD, Nam SJ, Nam BH, Kwon MJ, Shin YK. MMP11 and CD2 as Novel Prognostic Factors in Hormone Receptor-Negative, HER2-Positive Breast Cancer. Breast Cancer Res Treat. 2017 Apr 13. doi: 10.1007/s10549-017-4234-4. [Epub ahead of print]
Gong G, Kwon MJ, Han J, Lee HJ, Lee SK, Lee JE, Lee SH, Park S, Choi JS, Cho SY, Ahn SH, Lee JW, Cho SR, Moon Y, Nam BH, Nam SJ, Choi YL, Shin YK. A new molecular prognostic score for predicting the risk of distant metastasis in patients with HR+/HER2- early breast cancer. Scientific Reports. 2017 Mar 28;7:45554. doi: 10.1038/srep45554.
Oh E, Choi Y-L, Park T, Lee S, Nam SJ, Shin YK. A prognostic model for lymph node-negative breast cancer patients based on the integration of proliferation and immunity. Breast Cancer Res Treat. 2012 Apr;132(2):499-509. doi: 10.1007/s10549-011-1626-8
59

Hong, Jin-Ho Department of German Language and Literature

  • Research LabGerman literature of Naturalism, German performingart
  • Research Area (Core AI)Language & Cognition
  • Research Area (X+AI)Humanities/Social Sciences

PUBLICATIONS

19세기 말부터 20세기 초의 독일어권 문학. 새로운 인간관과 세계관을 바탕으로 발달한 자연주의의 혁신적인 문학과 세기전환기의 독특한 문화적 흐름 속에서 형성된 다양한 문학적 양상이 주요 관심 분야이다. 특히 게르하르트 하우프트만, 아르노 홀츠, 에두아르트 폰 카이절링, 아르투어 슈니츨러 등의 작가들을 주요 연구대상으로 삼고 있다. 더불어 19세기 말부터 20세기 초반에 독일어권에서 발달한 환상문학(프란츠 카프카, 구스타프 마이링크, 알프레드 쿠빈 등)과 이를 분석하고 이해하기 위한 이론적 연구에도 관심을 기울이고 있으며, 독일 공연예술과 공연예술 이론에 대한 연구도 진행하고 있다.
58

Han, Bohyung Department of Electrical and Computer Engineering

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

PUBLICATIONS

Hyeonwoo Noh, Seunghoon Hong, Bohyung Han: Learning Deconvolution Network for Semantic Segmentation. ICCV 2015
Hyeonseob Nam, Bohyung Han: Learning multi-domain convolutional neural networks for visual tracking. CVPR 2016
Hyeonwoo Noh, Andre Araujo, Jack Sim, Tobias Weyand, Bohyung Han: Large scale image retrieval with attentive deep local features. ICCV 2017
Paul Hongseok Seo, Geeho Kim, Bohyung Han: Combinatorial Inference against Label Noise. NeurIPS 2019
Minsoo Kang, Jonghwan Mun, Bohyung Han: Towards Oracle Knowledge Distillation with Neural Architecture Search. AAAI 2020
Distributed Combinatorial Deep Learning. Google AI Focused Research Award
Privacy Preserving Semantic Image Compression. Kakao Brain
Neural Processing Research Center (대규모 인공 신경망에서의 학습 및 추론 알고리즘 개발), SAIT
57

Kim, Kyung Hwan Department of Medicine

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

PUBLICATIONS

56

Lee, Jungwoo Department of Electrical and Computer Engineering

  • Research LabCommunications and Machine Learning Lab
  • Research Area (Core AI)
  • Research Area (X+AI)

PUBLICATIONS

55

김용대 Department of Statistics

  • Research Lab지능형자료분석 연구실
  • 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.
54

홍성수 응용공학과

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

PUBLICATIONS

53

Lee, Eun-Ju Department of Communication

  • Research LabComputer-Mediated Communication
  • Research Area (Core AI)Human-AI Interaction
  • Research Area (X+AI)Humanities/Social Sciences, Media + AI

PUBLICATIONS

Lee, E.-J. (2010). What triggers social responses to flattering computers? Tests of anthropomorphism and mindlessness explanations. Communication Research, 37, 191-214.
Lee, E.-J. (2010). The more humanlike, the better? How speech type and users’ cognitive style affect social responses to computers. Computers in Human Behavior, 26, 665-672.
Lee, E.-J. (2009). I like you, but I won’t listen to you: Effects of rationality on affective and behavioral responses to computers that flatter. International Journal of Human-Computer Studies, 67, 628-638.
Lee, E.-J. (2008). Gender stereotyping of computers: Resource depletion or reduced attention? Journal of Communication, 58, 301-320.
52

Cho, Kyujin Department of Mechanical Engineering

  • Research LabBiorobotics Lab
  • Research Area (Core AI)Robotics & Action, Human-AI Interaction
  • Research Area (X+AI)Medicine, Manufacturing, Wearable Robotics

PUBLICATIONS

Daekyum Kim, Brian Byunghyun Kang, Kyu Bum Kim, Hyungmin Choi, Jeesoo Ha, Kyu-Jin Cho, Sungho Jo, "Eyes are faster than hands: A soft wearable robot learns user intention from the egocentric view," Science Robotics, 4, eaav2949, 2019
Brian Byunghyun Kang, Daekyum Kim, Hyungmin Choi, Useok Jeong, Kyu Bum Kim, Sungho Jo, and Kyu-Jin Cho, "Learning-Based Fingertip Force Estimation for Soft Wearable Hand Robot With Tendon-Sheath Mechanism," IEEE Robotics and Automation Letters, 2020.
인간중심 소프트 로봇 연구센터(ERC) 연구재단, 2016~ 2022
51

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
50

Cho, Sungzoon Department of Industrial Engineering

  • Research LabBigData AI Center
  • Research Area (Core AI)Learning & Reasoning, Language & Cognition, Data Intelligence
  • Research Area (X+AI)Finance, Logistics, Manufacturing

PUBLICATIONS

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
49

Jeon, Wha Sook Department of Computer Science and Engineering

  • Research Lab이동 컴퓨팅 및 통신 연구실
  • Research Area (Core AI)Autonomous Driving
  • Research Area (X+AI)Manufacturing, Energy

PUBLICATIONS

"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).
48

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.
47

Chung, Hyun-Tai Department of Medicine

  • Research LabNeurosurgery
  • Research Area (Core AI)Data Intelligence
  • Research Area (X+AI)Medicine

PUBLICATIONS

46

원중호 Department of Statistics

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

PUBLICATIONS

45

Lee, Seong Heon Department of French Language and Literature

  • Research LabComputational Linguistics
  • Research Area (Core AI)Language & Cognition, Data Intelligence
  • Research Area (X+AI)Humanities/Social Sciences

PUBLICATIONS

HONG, Chai-song & LEE, Seong Heon, « Representation of Lexico-Syntactic Information for the Description of Predicate Nouns in the Sejong Electronic Dictionary », Korean and/or Corpus Linguistics, 경진문화사, 2003.
이성헌, 「전자사전 구축과 의미부류 - 세종 명사 의미부류 체계의 예」, 『한국사전학』, 한국사전학회, 2005.
이성헌, 임홍빈, 홍재성, 「다국어 연어 대조 연구를 위한 DB 구축과 의미부류의 활용- 한-불 대조를 중심으로」, 『프랑스어문교육』, 한국프랑스어문교육학회, 2009.
LEE, Seong Heon, Le dictionnaire
44

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
43

Lee, Kyoung Mu Department of Electrical and Computer Engineering

  • Research LabComputer Vision Lab.
  • Research Area (Core AI)Learning & Reasoning, Vision & Perception, Autonomous Driving
  • Research Area (X+AI)Bio, Medicine, Logistics, Manufacturing

PUBLICATIONS

42

장수은 환경계획학과

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

PUBLICATIONS

41

Ahn, Yongmin Department of Medicine

  • Research LabPsychiatry
  • Research Area (Core AI)Learning & Reasoning, Language & Cognition, Data Intelligence
  • Research Area (X+AI)Bio, Brain, Medicine

PUBLICATIONS

기계학습 기반의 음성 분석으로 자살 위험 예측
40

Jhe, Wonho Department of Physics and Astronomy

  • Research LabAtomic, Molecular, and Optical Physics
  • Research Area (Core AI)Learning & Reasoning, AI Platform, Data Intelligence
  • Research Area (X+AI)Manufacturing, AI-based instruments

PUBLICATIONS

Interfacial thermodynamics of spherical nanodroplets: Molecular understanding of surface tension via hydrogen bond network
GCIceNet: A Graph Convolution Network For Deep Learning Of Ice Phases
AI-based atomic force microscopy
리더연구과제 0차원 나노플루이딕스
39

임재현 경영학과

  • Research LabSustainable Operations Management, Supply Chain and Logistics Management, Data Analytics
  • Research Area (Core AI)Learning & Reasoning, AI Platform, Data Intelligence
  • Research Area (X+AI)Commerce, Energy, Manufacturing, Logistics

PUBLICATIONS

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
38

엄현상 Department of Computer Science and Engineering

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

PUBLICATIONS

37

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

36

Tak, Sunghee H Department of Nursing

  • Research LabAdult Health Nursing
  • Research Area (Core AI)Human-AI Interaction
  • Research Area (X+AI)Aging Care Services and Wellness

PUBLICATIONS

Tak, SH. (2018). 4차 산업혁명시대 Gerontological Nursing in the Era of the Fourth Industrial Revolution. 노인간호학회지 Journal of Korean Gerontological Nursing. 20, S160~165. (doi: 10.17079/jkgn.2018.20.s1.s160)
Bidelman, GM., Lowther, JE., Tak, SH., & Alain, C. (2017). Mild Cognitive Impairment Is Characterized by Deficient Brainstem and Cortical Representations of Speech. Journal of Neuroscience, 37(13), 3610-3620. (doi: 10.1523/JNEUROSCI.3700-16.2017)
Tak, S., Zhang, H., Patel, H., & Hong, S. (2015). Computer activities for persons with dementia. The Gerontologist, 55, S40-49. (doi: 10,1093/geront/gnv003)
Tak, S., Zhang, H., & Hong, S. (2015). Preferred computer activities among individuals with dementia: a pilot study. Journal of Gerontological Nursing, 41(3), 50-57. March 1st, 2015 (Online advance release at November 7, 2014) (doi:10.3928/00989134-20141029-01)
Tak, S., Kedia, S., Tongumpun, T., Hong, SH. (2015). Activity engagement: perspectives from nursing home residents with dementia. Educational Gerontology, 41(3), 182-192. March 1, 2015 (Online advance release at August 21, 2014.) (doi:10.1080/03601277.2014.937217)
치매문제행동모델을 적용한 홀로그래픽 혼합현실 시뮬레이션 간호교육 모듈 개발과 효과. Development and evaluation of holographic mixed reality-based simulation nursing eudcational program using dementia-compromized behavior model. 이공학개인기초연구지원사업 (2018R1D1A1A02085994). 2018.11.01.~2019.10.31. 한국연구재단(책임연구자)
치매노인을 위한 컴퓨터인지훈련프로그램에 대한 문헌고찰 및 치매고위험노인의 활동프로그램 개발과 평가 Computerized cognitive training in persons with dementia: a systematic review & Effects of an integrated activity program for older adults with low education and mild dementia. 2015.10.01 – 2017.09.30. 서울대학교 신임교수지원사업 & 차세대 신진학자 초빙사업. (연구책임자)
Center for Technologies and Research in Alzheimer’s Care. 2013-2015. FedEx Institute of Technology Innovation Grant, University of Memphis Foundation. USA. (연구책임자 & Director)
35

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

34
  • Research Lab컴퓨터 구조 메모리 연구소
  • Research Area (Core AI)AI Platform
  • Research Area (X+AI)

PUBLICATIONS

33

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
32

Lee, Jaewook Department of Industrial Engineering

  • Research LabStatistical Learning & Computational Finance Laboratory
  • Research Area (Core AI)Learning & Reasoning, AI Security
  • Research Area (X+AI)Finance

PUBLICATIONS

31

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
30

장정주 경영학과

  • Research Lab경영정보
  • Research Area (Core AI)Data Intelligence
  • Research Area (X+AI)

PUBLICATIONS

29

Uwe, Fischer Department of Physics and Astronomy

  • Research LabMarkAny Prevent Capture
  • Research Area (Core AI)Learning & Reasoning, Machine Learning for Quantum Many-Body Physics
  • Research Area (X+AI)Physics

PUBLICATIONS

28

Cho, Dong-il Department of Electrical and Computer Engineering

  • Research LabNano/Micro Systems & Controls Lab
  • Research Area (Core AI)
  • Research Area (X+AI)

PUBLICATIONS

27

Lee, Ki Won Department of Agriculture Economics and Rural Development

  • Research LabFood-Medicine Genomics
  • Research Area (Core AI)Learning & Reasoning, Language & Cognition, Human-AI Interaction
  • Research Area (X+AI)Bio, Medicine, Food

PUBLICATIONS

인공지능기반 최적파이토슈티컬 도출시스템 및 응용연구실, 기초연구실사업, 과기정통부
아동청소년 비만 예방관리를 위한 BT-IT 융합기반 통합 플랫폼 기술개발, 과기정통부
방송통신 융합기술을 활용한 보육기관 맞춤형 스마트 웰니스 서비스 개발, 과기정통부
26

Park, Taesung Department of Statistics

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

PUBLICATIONS

25

Hong, Sung-Pil Department of Industrial Engineering

  • Research LabManagement Science and Optimization Lab
  • Research Area (Core AI)
  • Research Area (X+AI)

PUBLICATIONS

24

주한별 Department of Computer Science and Engineering

  • Research Lab비주얼 컴퓨팅 연구실
  • Research Area (Core AI)Learning & Reasoning,Vision & Perception,Robotics & Action
  • Research Area (X+AI)

PUBLICATIONS

BANMo: Building Animatable 3D Neural Models from Many Casual Videos, CVPR 2022
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization.CVPR 2020
Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in A Triadic Interaction, CVPR 2019
Panoptic Studio: A Massively Multiview System for Social Interaction Capture, TPAMI 2019
Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies, CVPR 2018

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