Byoung-Hee Kim

Biointelligence Lab (BI)
School of Computer Sci. and Eng.
Seoul National University
Seoul 151-744, Korea

Office: Room 314-1, Bldg 302
Phone: +82-2-880-1847
Fax: +82-2-875-2240
E-mail:
LinkedIn: https://www.linkedin.com/pub/byoung-hee-kim/72/623/703
Research interests:
Sequential pattern recognition and generation, Probabilistic graphical models, Machine Learning, Bioinformatics

Publications:

<International>

  • Predicting non-sentinel lymph node metastasis using lymphoscintigraphy in patients with breast cancer, H.S. Lee, S.W. Kim, B.-H. Kim, S.Y. Chung, S. Lee, T.-S. Kim, Y. Kwon, H.-S. Kang, and S.-K. Kim, Journal of Nuclear Medicine, 53(11):1693-1700, 2012. [LINK]
  • Uncovering response biases in recommendation, K.-W. Park*, B.-H. Kim*, T.-S. Park, and B.-T. Zhang, AAAI 2014 Multidisciplinary Workshop on Advances in Preference Handling (M-PREF), pp. 73-78, 2014. (*co-first author) [PDF]
  • Layered hypernetwork models for cross-modal associative text and image keyword generation in multimodal information retrieval, J.-W. Ha, B.-H. Kim, B. Lee, and B.-T. Zhang, Proceedings of the Eleventh Pacific Rim International Conference on AI (PRICAI2010), Lecture Notes in Artificial Intelligence, 6230:76-87, 2010.[PDF]
  • Evolutionary hypernetworks for learning to generate music from examples, H.-W. Kim, B.-H. Kim, and B.-T. Zhang, IEEE International Conference on Fuzzy Systems (Fuzz IEEE 2009), pp. 47-52, 2009.[PDF]
  • Text-to-image cross-modal retrieval of magazine articles based on higher-order pattern recall by hypernetworks, J.-W. Ha, B.-H. Kim, H.-W. Kim, W.C. Yoon, J.-H. Eom, ang B.-T. Zhang, The 10th International Symposium on Advanced Intelligent Systems (ISIS 2009), pp. 274-277, 2009.[PDF] (Best paper awarded)
  • AESNB: active example selection with naive bayes classifier for learning from imbalanced biomedical data, M.S. Lee, J.-K. Rhee, B.-H. Kim, and B.-T. Zhang, IEEE Ninth International Conference on Bioinformatics & BioEngineering (BIBE 2009), pp.15-21, 2009.[PDF]
  • Learning hierarchical Bayesian networks for large-scale data analysis, K.-B. Hwang, B.-H. Kim, and B.-T. Zhang, Lecture Notes in Computer Science, ICONIP 2006, 4232:670-679, 2006. [PDF]
  • PromSearch: A Hybrid Approach to Human Core-Promoter Prediction, B.-H. Kim, S.B. Park, and B.-T. Zhang, Lecture Notes in Computer Science, IDEAL 2004, 3177:125-131, 2004. [PDF]

<Domestic>

  • Movie recommendation using co-clustering by Infinite Relational Models, B.-H. Kim and B.-T. Zhang, Journal of the Korean Institute of Intelligent Systems, 24(4):443-449, 2014. [PDF] (Infinite Relational Model 기반 Co-Clustering을 이용한 영화 추천, 한국지능시스템학회논문지,제24권 제4호) [dataset: movielens-movie_genome]
  • A viewer preference model based on physiological feedback, T.-S. Park, B.-H. Kim, and B.-T. Zhang, Journal of the Korean Institute of Intelligent Systems, 24(3):316-322, 2014. [PDF] (CogTV를 위한 생체신호기반 시청자 선호도 모델, 한국지능시스템학회논문지, 제24권 제3호)
  • Article-goods associative search using bi-source topic modeling method, B.-H. Kim, B. Lee, S.J. Ha, N.I. Cho, and B.-T. Zhang, Journal of the Korean Institute of Information Scientists and Engineers: Computing Practices and Letters, 17(4):249-253, 2011. [PDF] (Bi-Source 토픽 모델 기법을 이용한 기사-상품 연관 검색, 정보과학회논문지: 컴퓨팅의 실제 및 레터, 제17권 제4호)
  • 바이오데이터 분석을 위한 기계학습 기술, 황규백, 정제균, 남진우, 김병희, 이제근, 장병탁, 정보과학회지, 25(3):35-45, 2007.[PDF]

  • 웨어러블 센서를 이용한 비디오 시청자 감정 상태의 지속적인 학습 및 예측 연구, 박경화, 김병희, 장병탁, 2015 한국컴퓨터종합학술대회 (KCC2015) 논문집, pp.954-956, 2015.06. [PDF]
  • Dynamic models to learn physiological response to multimedia stimuli, P.M. Emaase, B.-H. Kim, and B.-T. Zhang, 2015 한국컴퓨터종합학술대회 (KCC2015) 논문집, pp.972-974, 2015.06. [PDF]
  • 대규모 감성DB 기반 인지컴퓨팅에서의 편향 요인 진단, 곽동현, 김병희, 박태서, 장병탁, 한국정보과학회 동계학술발표회 논문집,  pp. 634-636, 2014.12. [PDF]
  • 희소앙상블 코딩을 이용한 순차적 음악 회상 학습, 한철호, 김병희, 장병탁, 한국정보과학회 동계학술발표회 논문집,  pp. 631-633, 2014.12. [PDF]
  • 비디오 시청자의 감정 예측을 위한 다중 뷰 기반 감독학습 연구, 박경화, 김병희, 장병탁, 한국정보과학회 동계학술발표회 논문집,  pp. 628-630, 2014.12. [PDF]
  • CogDIEM: 인지컴퓨팅 연구를 위한 멀티미디어 시청자의 암묵적 감정 반응 데이터베이스, 온경운, 김병희, 김경민, 곽동현, 박태서, 장병탁, 한국정보과학회 동계학술발표회 논문집,  pp. 571-573, 2014.12. [PDF]
  • 개별 평가 편향 요소 경감을 통한 협업 필터링의 개선, 박경화, 김병희, 박태서, 장병탁, 2014 한국컴퓨터종합학술대회(KCC2014)논문집, pp. 862-864, 2014.06. [PDF]
  • Infinite Relational Model 기반 Co-Clustering을 이용한 영화 추천, 김병희, 장병탁, 한국지능시스템학회 2014년도 춘계학술대회 학술발표회 논문집, 제24권 제1호, pp. 85-86, 2014.04. [PDF] (우수논문)
  • CogTV를 위한 생체신호기반 시청자 선호도 모델, 박태서, 김병희, 장병탁, 한국지능시스템학회 2014년도 춘계학술대회 학술발표회 논문집, 제24권 제1호, pp. 63-64, 2014.04. [PDF] (우수논문)
  • 구조학습 기반의 서열 데이터 재현 기법, 김병희, 장병탁, 한국정보과학회 가을학술발표 논문집, 제39권 2(B), pp. 201-203, 2012.11. [PDF]
  • 멀티채널 정보학습 기반 드라마 동영상 정서 인식, 이범진, 김병희, 장병탁, 한국정보과학회 가을학술발표 논문집, 제39권 2(B), pp. 253-255, 2012.11. [PDF]
  • 인물 중심 TV 드라마 프로파일링에 의한 소셜 네트워크 분석, 김지섭, 김병희, 장병탁, 한국정보과학회 가을학술발표 논문집, 제38권 2(B), pp. 291-294, 2011.11. [PDF]
  • Bi-Source 토픽 모델 기법을 이용한 기사-상품 연관 검색, 김병희,이바도,하성종,조남익,장병탁, 한국정보과학회 가을학술발표 논문집, 제37권 2(A), pp. 74-75, 2010.10. [PDF] (우수논문)
  • 잡지기사 관련 상품 연계 추천 서비스를 위한 하이퍼네트워크 기반의 상품이미지 자동 태깅 기법,하정우,김병희,이바도,장병탁, 2010 한국컴퓨터종합학술대회(KCC2010)논문집, 제37권 1(A), pp. 123-124, 2010.06. [PDF] (우수논문 선정)
  • 진화 하이퍼네트워크를 이용한 음악 학습 및 크로스오버 음악 생성,김현우,김병희,장병탁, 2009 한국컴퓨터종합학술대회논문집, 제36권 1(A), pp. 134-138, 2009.07. [PDF]
  • 음악의 패턴 분류 및 정보 검색을 위한 클러스터링 기반의 음악적 단어 설계 연구, 김현우, 김병희, 장병탁, 대한전자공학회 추계학술대회 논문집, 제31권 2호, pp. 887-888, 2008.11. [PDF]
  • Potential SVM을 이용한 압타머칩에서의 바이오마커 탐색, 김병희, 김성천, 장병탁, 한국정보과학회 가을학술발표 논문집, 제33권 2(A), pp. 22-27, 2006.10. [PDF]
  • AptaCDSS - 압타머칩을 이용한 심혈관질환 질환단계 예측 및 진단의사결정지원시스템, 엄재홍,김병희,이제근,허민오,박영진,김민혁,김성천,장병탁, 한국정보과학회 가을학술발표 논문집, 제33권 2(A), pp. 28-32, 2006.10. [PDF]
  • 기계학습에 의한 압타머칩 데이터 기반 심혈관 질환 단계의 예측, 김병희, 김성천, 장병탁, 한국컴퓨터종합학술대회 2006 논문집, 제33권 1(A), pp. 85-87, 2006.06. [PDF]
  • 대규모 데이터 분석을 위한 계층적 베이지안망 학습, 황규백, 김병희, 장병탁, 한국컴퓨터종합학술대회 2005 논문집, 제32권 1(B), pp. 724-726, 2005.07. [PDF]
  • 나이브베이즈분류기의 정확도 향상을 위한 자질변수통합, 허민오, 김병희, 황규백, 장병탁, 한국컴퓨터종합학술대회 2005 논문집, 제32권 1(B), pp. 727-729, 2005.07. [PDF]
  • PromSearch를 이용한 인간 염색체 22번의 프로모터 예측, 김윤희, 김병희, 장병탁, 한국정보과학회 봄 학술발표 논문집 (B), 제31권 1호, pp. 340-342, 2004.4. [PDF]
  • PromSearch: 신경망을 이용한 코어 프로모터 예측 프로그램, 김병희, 김윤희, 남진우, 임명은, 심정섭, 박선희, 장병탁, 한국정보과학회 가을학술발표 논문집 (II), 제30권 2호, pp. 769-771, 2003. [PDF]
  • 정보병목기법에 기반한 유전자 발현 데이터의 이중 클러스터링, 김병희, 황규백, 장정호, 장병탁, 한국정보과학회 봄 학술발표 논문집 (B), 제30권 1호, pp. 362-364, 2003. [PDF]
  • 정보이론 기반의 병합식 클러스터링 기법 연구
    김병희, 공학사 학위논문, 서울대학교 컴퓨터공학부, 2003년 2월. [
    PDF]

 

Patents:

  • Method and system for associative image search based on bi-source topic model, Byoung-Hee Kim, Bado Lee, Sung-Jong Ha, Namik Cho, and Byoung-Tak Zhang, South Korea, 1255841, 2013-04-11.
  • Image processing apparatus and method using repetitive patterns, Sung-Jong Ha, Sang-Hwa, Lee, Byoung-Hee Kim, Byoung-Tak Zhang, and Namik Cho, South Korea, 1247220, 2013-03-19.
  • A hybrid approach and a computer program to predict core-promoter region on human DNA, based on neural networks, Byoung-Hee Kim and Byoung-Tak Zhang, South Korea, 0614826, 2006-08-16.

 

Awards and Honors:

  • Selected paper, KIIS Spring Conference (2014. 04), "A viewer preference model based on physiological feedback"
  • Selected paper, KIIS Spring Conference (2014. 04), "Movie recommendation using co-clustering by Infinite Relational Models"
  • Selected paper, KIISE Fall Conference (2010. 11), "Bi-source topic modeling method and its application to article-goods associative search"
  • Best paper award, ISIS 2009 (2009. 8.), "Text-to-image cross-modal retrieval of magazine articles based on higher-order pattern recall by hypernetworks"
  • DAAD Scholarship for DAAD-KRF Summer Institute Program (2006.7~8)
  • Seoul Science Fellowship (2005.3~2006.2)
  • Silver Prize at the 9th Samsung Humantech Thesis Prize Awards (2003. 2.) "Agglomerative Clustering Methods based on Information Theory" (Korean, "정보이론 기반의 병합식 클러스터링 기법 연구")
  • Silver Prize at the 4th Daejeon Mathematics & Science Competition - Physics section (1992)

 

Talks and Presentations:

  • (Talk) Computers That Recognize and Understand Me - Affective Computing, Artificial Intelligence Concert for Young People, National Association of Cognitive Science Industries  (2015.10)
  • (Talk) Machine Learning for Data-Driven Biology, BK21 Seminar, Hanyang University (2015.07)
  • (Talk) Introduction to Hypernetworks, IIC Lab, Kangwon University (2015.06)
  • (Talk) Cognitive Analytics and Machine Learning using Weka, CogAnalytics Tutorial by National Association of Cognitive Science Industries, Seoul National University (2014.10)
  • (Talk) Machine Learning - Basic Concepts & Applications, LG Electronics Advanced Research Institute (2011.07)
  • (Talk) Machine Learning Tutorial - Part 2 Clustering, KSCI Symposium on Real-Life Intelligence, Seoul National University (2010.12)
  • (Talk) Hypernetwork Models for Sequential Context Learning: Application to Music Generation, The 2nd German-Korean Workshop on Machine Learning in Life Sciences: Computational Neuroscience (MLLS10)
  • (Invited Talk) Technical Seminars - Probabilistic Inference in Graphical Models, SAIT (2009.12)
  • (Poster) Hierarchical Clustering of Gene Expression Data with the Information Bottleneck Method, International Conference on Intelligent Systems for Molecular Biology (ISMB 2003)

 

Projects Involved:

  • Cognitive Machine Learning and Inference Technologies for Intelligent Recommendation Services, supported by Korean Ministry of Education, Science and Technology (2010.05~2015.04)
  • Multimodal Information Extraction and Recommendation Technologies for Next-Generation Customized Services Based on Machine Learning, supported by Korean Ministry of Knowledge Economy (2009.03~2011.02)
  • Intelligent Design and Analysis Technology for DNA Chips, National Research Lab project by MoST (2003.2~2007.6)
  • LGCore: Machine Learning Technologies for Performance Prediction of Digital Appliances (2006)
  • AptaCDSS: A diagnosis support system for cardiovascular disease using aptamer chip (2005-2006)
  • PromSearch: A program for human core-promoter prediction (2003)

 

Activities:

 

Teaching:

<Instructor>

  • Spring, 2015: Data Mining, School of Computing, Soongsil University
  • Fall, 2014: Elementary ICT Education Methods, Dept. of Computer Education, Seoul National University of Education
  • Spring, 2014: Elementary ICT Education Methods, Dept. of Computer Education, Seoul National University of Education
  • Fall, 2013: 010.133, Digital Computer Concept and Practice, Dept. of Statistics, Seoul National University
  • Spring, 2013: 010.133-006, Digital Computer Concept and Practice, Dept. of Statistics, Seoul National University
  • Fall, 2012: 010.133-002, Digital Computer Concept and Practice, Dept. of Statistics, Seoul National University
  • Spring, 2012: 010.133-012, Digital Computer Concept and Practice, Dept. of Statistics, Seoul National University
  • Fall, 2011: 010.133-002, Digital Computer Concept and Practice, Dept. of Statistics, Seoul National University
  • Spring, 2011: 010.133-013, Digital Computer Concept and Practice, Dept. of Statistics, Seoul National University
  • Fall, 2010: 010.133-001, Digital Computer Concept and Practice, Dept. of Statistics, Seoul National University
  • Fall, 2009: 010.133-004, Digital Computer Concept and Practice, Dept. of Statistics, Seoul National University
  • Spring, 2007: Probability and Statistics, School of Computing, Soongsil University

<Teaching Assistant>

  • Machine Learning - Practices in Particle Filtering, SATTI (2012.09)
  • Machine Learning - Bayesian Networks, SATTI (2015.09, 2015.11)
  • Machine Learning Algorithm Practice - Practices in Feature Selection and Dimension Reduction / HMM, SSM & Particle Filtering, SATTI (2012.05, 2012.11, 2013.04, 2013.11, 2015.09, 2015.11)
  • Cognitive Computing - Practices in Deep Learning Models, SATTI (2012.04)
  • Machine Learning - Practices in Clustering, and Bayesian Networks, SATTI (2011.11)
  • Machine Learning - Practices in Classification, Clustering, and Bayesian Networks, SATTI (2010.10)
  • Fall, 2011: 4541.676, Multisensory Predictive Learning (Artificial Neural Networks), School of Computer Science & Engineering, Seoul National University (Graduate Course)
  • Fall, 2009: 4190.408, Artificial Intelligence: Biointelligence, School of Computer Science & Engineering, Seoul National University (Undergraduate)
  • Spring, 2008: 4190.408, Artificial Intelligence: Biointelligence, School of Computer Science & Engineering, Seoul National University (Undergraduate)
  • Fall, 2008: 4190.408, Artificial Intelligence: Biointelligence, School of Computer Science & Engineering, Seoul National University (Undergraduate)

Last Update: November 23, 2015.