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

Soomin Kim, Jinsu Eun, Changhoon Oh, Bongwon Suh & Joonhwan Lee (2020) Bot in the Bunch: Facilitating Group Chat Discussion by Improving Efficiency and Participation with a Chatbot. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20). Association for Computing Machinery, New York, NY, USA, Paper 654, 1-13.
Dongwhan Kim & Joonhwan Lee (2019) Designing an Algorithm-Driven Text Generation System for Personalized and Interactive News Reading, International Journal of Human–Computer Interaction, 35:2, 109-122, DOI: 10.1080/10447318.2018.1437864
Soomin Kim, Joonhwan Lee, and Gahgene Gweon (2019) Comparing Data from Chatbot and Web Surveys: Effects of Platform and Conversational Style on Survey Response Quality. In Proceedings of the 2019 CHI Conference on Human ctors in Computing Systems (CHI ’19). Association for Computing Machinery, New York, NY, USA, Paper 86, 1–12. DOI:https://doi.org/10.1145/3290605.3300316
SoHyun Park, Jeewon Choi, Sungwoo Lee, Changhoon Oh, Changdai Kim, Soohyun La, Joonhwan Lee & Bongwon Suh (2019) Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study, Journal of medical Internet research 21 (4), e12231, https://www.jmir.org/2019/4/e12231/
Jieun Wee, Sooyeun Jang, Joonhwan Lee & Woncheol Jang (2017) The influence of depression and personality on social networking, Computers in Human Behavior, 74, 45-52, https://doi.org/10.1016/j.chb.2017.04.003
로봇 저널리즘 기반의 방송 뉴스 콘텐츠 제작 기술 개발, 과학기술정보통신부, 2017.4.1 ~ 2019.12.31
성범죄 피해자 진술 지원 시스템 연구, 과학정보기술통신부, 2018/08/01 ~ 2020/12/31

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

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

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

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.

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

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~.

“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.

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.

Ahn, W.-Y., Kishida, K. T., Gu, X., Lohrenz, T., Harvey, A. H., Alford, J. R., Smith, K. B., Yaffe, G., Hibbing, J. R., Dayan, P., & Montague, P. R. (2014) Nonpolitical images evoke neural predictors of political ideology. Current Biology, 24, 1-7.
Ahn, W.-Y., Haines, N., & Zhang, L. (2017) Revealing neuro-computational mechanisms of reinforcement learning and decision-making with the hBayesDM package. Computational Psychiatry, 1:1.
Ahn, W.-Y. & Vassileva, J. (2016) Machine learning identifies substance-specific behavioral markers for heroin and amphetamine dependence. Drug and Alcohol Dependence, 161, 247-257.
Aylward, J., Valton, V., Ahn, W. Y., Bond, R. L., Dayan, P., Roiser, J. P., & Robinson, O. J. (2019). Altered learning under uncertainty in unmedicated mood and anxiety disorders. Nature Human Behaviour, 3(10), 1116-1123.
Yang, J., Pitt, M. A., Ahn, W. Y., & Myung, J. I. (in press) ADOpy: A Python Package for Adaptive Design Optimization. Behavior Research Methods.
  기계학습을 이용한 빠르고 높은 신뢰도의 멀티모달 금연 표지 개발, 한국연구재단 (연구책임자), 2017-2022년
작업기억-의사결정 상호작용의 뇌신경망에 관한 통합적 연구, 한국연구재단 (공동연구자), 2018-2020년
뇌영상기법과 기계학습을 이용한 비정상적 의사결정의 신경계산학적 기전 연구, 서울대학교 창의선도 신진 연구자 지원사업 (연구책임자), 2019-2022년

Answerer in questioner's mind: Information theoretic approach to goal-oriented visual dialog, S.-W. Lee, Y.-J. Heo, B.-T. Zhang, The 32nd Annual Conference on Neural Information Processing Systems (NIPS 2018), (Spotlight)
Bilinear attention networks, J.-H. Kim, J. Jun, B.-T. Zhang, The 32nd Annual Conference on Neural Information Processing Systems (NIPS 2018)
Overcoming catastrophic forgetting by incremental moment matching, S.-W. Lee, J.-H. Kim, J. Jun, J.-W. Ha, and B.-T. Zhang, The 31st Annual Conference on Neural Information Processing Systems (NIPS 2017)
Multimodal residual learning for visual QA, J.-H. Kim, S.-W. Lee, D.-H. Kwak, M.-O. Heo, J. Kim, J.-W. Ha, and B.-T. Zhang, In The 30th Annual Conference on Neural Information Processing Systems (NIPS 2016)

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)

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

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

https://seungwonh.github.io/

기계학습 기반의 음성 분석으로 자살 위험 예측

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

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

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.