Publications

International Papers

Journal Papers and Book Chapters

  1. Lee, J., Oh, B., Yang, J. & Park, U. (2016. 10). RLCF A Collaborative Filtering Approach Based on Reinforcement Learning With Sequential Ratings. Intelligent Automation & Soft Computing (2016): 1-6.
  2. Oh, B., Yu, J., Yang, J., Nang, J. and Park, S. (2013. 10). Fast and Accurate Home Photo Categorization for Handheld Devices using MPEG-7 Descriptors. International Journal of Computers, Communication and Control 8(5): 722-735.
  3. Lee, B., Choi, S., Oh, B., Yang, J. and Park, S. (2013. 8). A New Ensemble Learning Algorithm using Regional Classifiers. International Journal on Artificial Intelligence Tools 22(4).
  4. Lee, J. and Yang, J. (2012.9). DGA: A Fast and Scalable Re-routing Algorithm based on Shortest Path and Genetic Algorithms. International Journal of Computers, Communications and Control 7(3): 482-493.
  5. Yun, C., Oh, B., Yang, J. and Nang, J. (2011.9). Feature Subset Selection Based on Bio-Inspired Algorithms. Journal of information Science and Engineering 27(5): 1667-1686.
  6. Oh, B., Na, Y., Yang, J., Park, S., Nang, J. and Kim, J. (2010.11). Genetic Algorithm-based Dynamic Vehicle Route Search using Car-to-Car Communication. Advances in Electrical and Computer Engineering 10(4): 81-86.
  7. Nang, J., Park, J., Yang, J. and Kim, S. (2010. 3). A Hierarchical Bitmap Indexing Method for Similarity Search in High-Dimensional Multimedia Databases. Journal of information Science and Engineering 26(2): 393-407.
  8. Kim, S., Yoon, J., Yang, J. and Park, S. (2010. 2).Walk-Weighted Subsequence Kernels for Protein-Protein Interaction Extraction. BMC Bioinformatics 11(107).
  9. Yang, J. (2008.1). Book Review: Bioinformatics-FromGenomes to Therapies. Briefings in Bioinformatics 9(1): 91-93.
  10. Kim, S., Yoon, J. and Yang, J. (2008. 1). Kernel Approaches for Genic Interaction Extraction. Bioinformatics 24(1).
  11. Yang, J., Chalasani, V. and Park, S. (2003.7). Intelligent Email Categorization Based on Textual Information and Metadata. IEICE Transactions on Information and Systems E86-D(7): 1280-1288.
  12. Parekh, R., Yang, J. and Honavar, V. (2000). Constructive Neural Network Learning Algorithms for Pattern Classification. IEEE Transactions on Neural Networks 11(2): 436-451.
  13. Parekh, R., Yang, J. and Honavar, V. (2000). Comparison of Performance of Variants of Single-layer Perceptron Algorithms on Non-separable Datasets. Journal of Neural, Parallel, and Scientific Compuatation. In press.
  14. Yang, J., Parekh, R. and Honavar, V. (1999). DistAl: An Inter-pattern Distance-based Constructive Learning Algorithm. Intelligent Data Analysis 3: 55-73.
  15. Yang, J. and Honavar, V. (1998). Feature Subset Selection Using A Genetic Algorithm. Chapter 8: 117-136. Feature Extraction, Construction and Selection - A Data Mining Perspective. Motoda and Liu (ed.) Kluwer Academic Publishers.
  16. Yang, J. and Honavar, V. (1998). Feature Subset Selection Using A Genetic Algorithm. IEEE Intelligent Systems 13(2): 44-49.
  17. Yang, J. and Honavar, V. (1998). Experiments with the Cascade-Correlation Algorithm. Microcomputer Applications 17(2): 40-46.

Refereed Conference Papers

  1. Oh, B., Yang, J. (2016. 12). Enhancing Label Inference Algorithms Considering Vertex Importance in Graph-Based Semi-Supervised Learning. International Conference on Pattern Recognition (ICPR'16). Cancun, Mexico.
  2. Lee, J., Oh, B., Yang, J. and Park, S. (2012. 7). A Reinforcement Learning Approach for Collaborative Filtering. Proceedings of the Second International Conference on Computers, Networks, Systems, and Industrial Applications (CNSI'12). Jeju, Korea. pp. 194-199.
  3. Na, Y. and Yang, J. (2010. 7). Distributed Bayesian Network Structure Learning. Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE'10). Bari, Itary.
  4. Lee, H., Oh, B., Yang, J. and Kim, S. (2009.05). Distributed Genetic Algorithm using Automatic Migration Control. Proceedings of the Eleventh IEEE Congress on Evolutionary Computation (CEC'09). Trondheim, Norway.
  5. Lee, B., Na, Y., Oh, B. and Yang, J. (2008.11). Ensemble Learning of Regional Classifiers. Proceedings of the Twentieth IEEE International Conference on Tools with Artificial Intelligence (ICTAI'08). Dayton Ohio, USA. pp. 387-392.
  6. Jo, H., Na, Y., Oh, B. and Yang, J. (2008.11). Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm. Proceedings of the Twentieth IEEE International Conference on Tools with Artificial Intelligence (ICTAI'08). Dayton Ohio, USA. pp. 393-400.
  7. Yun, C. and Yang, J. (2007.10). Experimental Comparison of Feature Subset Selection Methods. Proceedings of the Seventh IEEE International Conference on Data Mining (ICDM'07). Omaha NE, USA. (accepted for workshop)
  8. Choi, S., Lee, B. and Yang, J. (2007.10). Ensembles of Region Based Classifiers. Proceedings of the Seventh International Conference on Computer and Information Technology (CIT'07). University of Aizu, Fukushima Japan. pp. 41-46. (Best Paper Award)
  9. Yun, C., Shin, D., Yang, J. and Kim, S. (2007. 10). An Experimental Study on Feature Subset Selection Methods. Proceedings of the Seventh International Conference on Computer and Information Technology (CIT'07). University of Aizu, Fukushima Japan. pp. 77-82
  10. Kang, S., Lee, B., Yang, J., Kim, S. and Kim, S. (2007.10). Simulating Biological Pathways with a Continuous Petri Net Using Runge-Kutta Methods. Frontiers in the Convergence of Bioscience and Information Technologies (FBIT'07). Jeju-Do, Korea.
  11. Yang, J., Choi, Y., Hong, K., Park, J. and Kim, S. (2007.10). Automated Classification and Information Extraction of Biological Text. Frontiers in the Convergence of Bioscience and Information Technologies (FBIT'07). Jeju-Do, Korea.
  12. Jo, H., Lee, B., Na, Y., Lee, H., Oh, B., Yun, C., Yang, J., Lee, M. and Kim, M. (2007.10). Prioritized Traffic Information Delivery Based on Historical Data Analysis. Proceedings of the Tenth IEEE Intelligent Transportation Systems Conference (ITSC'07). Seattle, Wa, USA. pp. 568-573.
  13. Lee, K., Joo, J., Yang, J. and Honavar, V. (2006.8). Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm. Proceedings of the Second International Conference on Advanced Data Mining and Applications (ADMA'06). Xi'an, China. pp. 465-472. (LNAI 4093)
  14. Lee, S., Yang, J. and Park., S. (2006.8). A New Polynimial Time Algorithm for Bayesian Network Structure Learning. Proceedings of the Second International Conference on Advanced Data Mining and Applications (ADMA'06). Xi'an, China. pp. 501-508. (LNAI 4093)
  15. Hong, K., Park, J., Yang, J. and Park, S. (2005.12). Biological Text Mining for Extraction of Proteins and Their Interactions. Proceedings of the First International Conference on Pattern Recognition and Machine Intelligence (PReMI'05). Kolkata, Indida. pp. 645-648. (LNCS 3776)
  16. Jang, J., Han, S., Park, S. and Yang, J. (2005.11). A Content-Based Load Balancing Algorithm for Metadata Servers in Cluster File Systems. Proceedings of the Third International Symposium on Parallel and Distributed Processing and Applications (ISPA'05). Nanjing, China. pp. 49-57. (LNCS 3758)
  17. Hong, K., Park, J., Yang, J. and Paek, E. (2005.10). Automatic Extraction of Proteins and Their Interactions from Biological Text. Proceedings of the Eighth International Conference on Discovery Science (DS'05). Singapore. pp. 322-329. (LNAI 3735)
  18. Lee, K., Joo, J., Yang, J. and Park, S. (2005.10). Unit Volume Based Distributed Clustering Using Probabilistic Mixture Model. Proceedings of the Eighth International Conference on Discovery Science (DS'05). Singapore. pp. 338-345. (LNAI 3735)
  19. Song, J., Park, S. and Yang, J. (2004.12). An Adaptive Proximity Route Selection Scheme in DHT-Based Peer to Peer Systems. Proceedings of the Fifth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'04). Singapore. pp. 778-781. (LNCS 3320)
  20. Joo, J., Zhang, J., Yang, J. and Honavar, V. (2004.10). Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data. Proceedings of the Seventh International Conference on Discovery Science (DS'04). Padova, Italy. pp. 347-354. (LNAI 3245)
  21. Lee, S., Yang, J. and Park, S. (2004.10). Discovery of Hidden Similarity on Collaborative Filtering to Overcome Sparsity Problem. Proceedings of the Seventh International Conference on Discovery Science (DS'04). Padova, Italy. pp. 396-402. (LNAI 3245)
  22. Lee, S., Yang, J. and Oh, K. (2003.10). Prediction of Molecular Bioactivity for Drug Design Using a Decision Tree Algorithm. Proceedings of the Sixth International Conference on Discovery Science (DS'03). Sapporo, Japan. pp. 344-351. (LNAI 2843)
  23. Yang, J. and Park, S. (2002.11). Email Categorization Using Fast Machine Learning Algorithms. Proceedings of the Fifth International Conference on Discovery Science (DS'02). Lubeck, Germany. pp. 316-323. (LNCS 2534)
  24. Park, S., Yang, J. and Kim, Y. (2002.10). Design and Implementation of Application-Level Multicasting Services over ATM Networks. Proceedings of the First EurAsian Conference on Information and Communication Technology (EurAsia-ICT'02). Shiraz, Iran. pp. 479-486. (LNCS 2510)
  25. Giuffrida, G., Shek, E. and Yang, J. (2000). Knowledge-Based Metadata Extraction from Postscript Files. Proceedings of the Fifth ACM Conference on Digital Libraries (DL'00) , San Antonio, TX.
  26. Chuang, W. and Yang, J. (2000). Extracting Sentence Segments for Text Summarization: A Machine Learning Approach. Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'00). Athens, Greece. pp. 152-159.
  27. Chuang, W. and Yang, J. (2000). Text Summarization by Sentence Segment Extraction Using Machine Learning Algorithms. Proceedings of the Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'00). Kyoto, Japan. pp. 454-457.
  28. Chuang, W., Tiyyagura, A., Yang, J. and Giuffrida, G. (2000). A Fast Algorithm for Hierarchical Text Classification. Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery (DaWaK'00). London-Greenwich, United Kingdom. pp. 409-418.
  29. Yang, J., Parekh, R., Honavar, V. and Dobbs, D. (1999). Data-Driven Theory Refinement Using KBDistAl. Proceedings of the Third Symposium on Intelligent Data Analysis (IDA'99). Amsterdam, The Netherlands. pp. 331-342.
  30. Yang, J., Parekh, R., Honavar, V. and Dobbs, D. (1999). Data-Driven Theory Refinement Algorithms for Bioinformatics. Proceedings of the International Joint Conference on Neural Networks (IJCNN'99). Washington D.C. pp. 4064-4068.
  31. Yang, J., Honavar, V., Miller, L. and Wong, J. (1998). Intelligent Mobile Agents for Information Retrieval and Knowledge Discovery from Distributed Data and Knowledge Sources. Proceedings of the IEEE Information Technology Conference. Syracuse, New York. pp. 99-102.
  32. Yang, J., Havaldar, R., Honavar, V., Miller, L. and Wong, J. (1998). Coordination of Distributed Knowledge Networks Using Contract Net Protocol. Proceedings of the IEEE Information Technology Conference. Syracuse, New York. pp. 71-74.
  33. Yang, J., Pai, P., Honavar, V. and Miller, L. (1998). Mobile Intelligent Agents for Document Classification and Retrieval: A Machine Learning Approach. Proceedings of the Fourteenth European Meeting on Cybernetics and Systems Research (EMCSR'98). Vienna, Austria. pp. 707-712.
  34. Yang, J., Parekh, R. and Honavar, V. (1998). DistAl: An Inter-pattern Distance-based Constructive Learning Algorithm. Proceedings of the International Joint Conference on Neural Networks (IJCNN'98). Anchorage, Alaska. pp. 2208-2213.
  35. Yang, J. and Honavar, V. (1997). Feature Subset Selection Using A Genetic Algorithm. Proceedings of the GP-97. Stanford, CA. pp. 380-385.
  36. Parekh, R., Yang, J. and Honavar, V. (1997) MUpstart - A Constructive Neural Network Learning Algorithm for Multi-Category Pattern Classification. Proceedings of the IEEE/INNS International Conference on Neural Networks (ICNN'97), Houston, TX. June 9-12, 97. vol III, pp. 1924-1929.
  37. Parekh, R., Yang, J. and Honavar, V. (1997). Pruning Strategies for the MTiling Constructive Learning Algorithm. Proceedings of the IEEE/INNS International Conference on Neural Networks (ICNN'97), Houston, TX. June 9-12, 97. vol III, pp. 1960-1965.
  38. Yang, J., Parekh, R. and Honavar, V. (1996). MTiling - A Constructive Neural Network Learning Algorithm for Multi-Category Pattern Classification. Proceedings of the World Congress on Neural Networks. San Diego, CA. pp. 182-187.
  39. Yang, J. and Honavar, V. (1996). A Simple Randomized Quantization Algorithm for Neural Network Pattern Classifiers. Proceedings of the World Congress on Neural Networks. San Diego, CA. pp. 223-228.
  40. Chen, C-H., Parekh, R. G., Yang, J., Balakrishnan, K. and Honavar, V. G. (1995). Analysis of Decision Boundaries Generated by Constructive Neural Learning Algorithms. Proceedings of the World Congress on Neural Networks.Washington D.C. pp. 628-635.
  41. Yang, J. and Honavar, V. (1993). A Hierarchical Representation Scheme for Three-Dimensional Object Recognition and Description. Proceedings of FLAIRS-93. Fort Lauderdale, Florida.
  42. Yang, J. and Honavar, V. (1991). Experiments with the Cascade Correlation Algorithm. Proceedings of the Fourth UNB Artificial Intelligence Symposium. Fredericton, Canada. pp. 369-380.

Domestic Papers

Journal Papers

  1. 오병화, 양지훈, 이현진. (2015.12). 준지도 학습에서 꼭지점 중요도를 고려한 레이블 추론. 정보과학회논문지 42-12: 1561-1567.
  2. 김문종, 최기창, 오병화, 양지훈. (2014.9). 강화학습을 이용한 무인 자율주행 차량의 지역경로 생성 기법. 정보처리학회논문지 소프트웨어 및 데이터 공학 3-9: 369-374.
  3. 오병화, 양지훈, 이현진. (2014.4). 콘텐츠 기반 예측 평점을 선택적으로 활용하는 협력적 필터링 기반 복합 추천 시스템. 정보과학회논문지 41-4: 289-294.
  4. 김상화, 오병화, 김문종, 양지훈. (2012.4). 협력적 필터링과 콘텐츠 정보를 결합한 영화 추천 알고리즘. 정보과학회논문지 39-4: 261-268.
  5. 이정규, 오병화, 양지훈. (2012.2). 평가의 시간 순서를 고려한 강화 학습 기반 협력적 여과. 정보처리학회논문지B 19-B(1): 31-36.
  6. 이정규, 김선호, 양지훈. (2011.6). 유전자 알고리즘을 이용한 확장성 있고 빠른 경로 재탐색 알고리즘. 정보처리학회논문지 18-B(3): 157-164.
  7. 이현정, 나용찬, 양지훈. (2010.4). 분산 유전 알고리즘에서 자동 마이그레이션 조정방법. 정보처리학회논문지 17-B(2): 157-162.
  8. 이병우, 양지훈, 김선호. (2009.2). 지역 전문가의 앙상블 학습. 한국정보과학회, 정보과학회논문지 : 컴퓨팅의 실제 및 레터 15(2): 135-139.
  9. 최성하, 이병우, 양지훈. (2007.8). 지역 기반 분류기의 앙상블 학습. 정보처리학회. 14-B(4): 303-310.
  10. 주진우, 양지훈. (2006.4). 유전자 알고리즘 기반의 불완전 데이터 학습을 위한 속성값계층구조의 생성. 정보처리학회 13-B(2): 133-138.
  11. 박수진, 나호영, 박수용, 양지훈. (2004.3). 학습이론을 이용한 소프트웨어 개발 프로세스 테일러링 기법. 소프트웨어공학회지. 17(1): 3-12.
  12. 박동식, 박성용, 양지훈. (2003.6). 리눅스 클러스터를 위한 커널 수준 통신 모듈. 정보과학회. 9(3): 289-300.

Refereed Conference Papers

  1. 오병화, 양지훈. (2015.6). 준지도 학습에서 꼭지점 중요도를 고려한 그래프 추론. 한국정보과학회 2015 한국컴퓨터종합학술대회 학술발표논문집 6: 790-792. (우수논문상)
  2. 이정헌, 양지훈. (2014.12). 사용자의 이동 경로 및 관광지 정보를 바탕으로 한 효율적인 여행 경로 추천 시스템. 한국정보과학회 2014 동계학술발표대회 논문집: 1616-1618.
  3. 안재현, 오병화, 양지훈. (2014.12). 딥 러닝을 이용한 이목구비 인식 시스템. 한국정보과학회 2014 동계학술발표대회 논문집: 1357-1359. (최우수논문상)
  4. 최기창, 양지훈, 이현진. (2014.12). 구매 이력 데이터를 사용한 상황 인지 추천 시스템. 한국정보과학회 2014 동계학술발표대회 논문집: 595-597.
  5. 이정규, 양지훈, 이현진, 권승준. (2014.12). 큐러닝과 유전 알고리즘 기반의 동적 경로 생성 기법. 제 16회 전자정보통신 학술대회: 104-107.
  6. 오병화, 양지훈, 이현진. (2013.11). 콘텐츠 내용과 협력적 필터링 기반 복합 추천 시스템. 한국정보과학회 2013 추계학술발표회 논문집: 601-603. (우수논문상)
  7. 김상화, 오병화, 김문종, 양지훈. (2011.11). 협력적 필터링과 콘텐츠 정보를 결합한 영화 추천 알고리즘. 한국정보과학회 2011가을 학술발표논문집 38(2(B)): 275-278. (우수논문상)
  8. 오병화, 배준성, 양지훈, 낭종호. (2009.6). 차량 간 통신을 이용한 유전자 알고리즘 기반 동적 차량 경로 탐색 알고리즘. 한국정보과학회 2009 종합학술대회 36(1(B)): 507-512.
  9. 오병화, 양지훈. (2009.6). 유전자 알고리즘을 사용한 분류 규칙 유도 방법. 한국정보과학회 2009 종합학술대회 36(1(C)):480-485.
  10. 이병우, 양지훈. (2008.6). 지역 전문가의 앙상블 학습. 한국정보과학회 2008 종합학술대회 35(1(A)): 120-121.
  11. 윤철민, 양지훈. (2007.11). 생태계 모방 알고리즘을 이용한 특징 선택 방법들의 성능 비교 분석에 대한 연구. 제 28회 한국정보처리학회 추계학술발표대회 14(2): 27-29.
  12. 최성하, 이병우, 양지훈, 김선호. (2007.6). 지역 기반 분류기의 앙상블 학습. 2007 한국컴퓨터종합학술대회 (KCC'07) 34(1(C)): 267-270.
  13. 박준형, 이현정, 양지훈, 김선호. (2007.6). 단백질 서열과 텍스트 정보 기반 오토마타 종 분류기. 2007 한국컴퓨터종합학술대회 (KCC'07) 34(1(B)): 9-14.
  14. 이병우, 조현성, 이현정, 오병화, 양지훈. (2007.5). 교통 이력 분석을 통한 교통정보 우선순위 결정 시스템. 제27회 춘계학술발표대회 14(1): 621-624.
  15. 윤철민, 양지훈. (2007.5). 특징 선택 방법들의 성능 비교 분석에 대한 연구. 제27회 춘계학술발표대회 14(1): 439-442.
  16. 강선구, 이병우, 나용찬, 조현성, 윤철민, 양지훈 (2006.10). 지지 벡터 머신을 이용한 다변수 결정 트리. 제33회 추계학술발표회 (KISS'06) 33(2(B)): 278-283.
  17. 박준형, 홍기호, 양지훈. (2006.6). 단백질 이름 추출을 위한 패턴 매칭 오토마타. 2006 한국컴퓨터종합학술대회 (KCC'06) 33(1(A)): 28-30.
  18. 이학주, 송지영, 이근준, 박성용, 정성원, 양지훈. (2003.10). 멀티 에이전트 프레임워크 기반의 생태계 모방 시스템 소프트웨어 아키텍처 개발. 한국생물정보학회 연례학술대회 (KSBI): 258-267.