International Journal
| Authors | Publication | Journal | Year |
| H Yu, J Kim, Y Kim, S Hwang, YH Lee | An Efficient Method for Learning Nonlinear Ranking SVM Functions | Information Sciences (SCI) | 2012.05 | | M Song, H Yu, WS Han | Combining Active Learning and Semi-Supervised Learning Techniques to Extract Protein Interaction Sentences | BMC Bioinformatics, Springer, 12(Suppl 12):S4. (SCI) | 2011.12 | | J Lee, MD Pham, J Lee, WS Han, H Cho, H Yu, JH Lee | Processing SPARQL queries with regular expressions in RDF databases | BMC BIoinformatics, Springer, 12 (SCI) | 2011.03 | | H Yu | Selective Sampling Techniques for Feedback-based Data Retrieval | Data Mining and Knowledge Discovery, Springer, Volume 22, Issue 1 (SCI) | 2011.01 | | NA Vien, H Yu, TC Chung | Hessian Matrix Distribution for Bayesian Policy Gradient Reinforcement Learning | Information Sciences (SCI) | 2011.01 | | H Yu, T Kim, J Oh, I Ko, S Kim, WS Han | Enabling Multi-Level Relevance Feedback on PubMed by Integrating Rank Learning into DBMS | BMC Bioinformatics, Springer, 11(Suppl 2):S6 2010.04. (SCI) | 2010.04 | | G Yu, S Hwang, H Yu | Supporting Personalized Ranking over Categorical Attributes | Information Sciences, Elsevier, 178(18):3510-3524, 2008.09. (SCI) | 2008.09 | | B Cho, H Yu, J Lee, Y Chee, I Kim, S Kim | Nonlinear Support Vector Machine Visualization for Risk Factor Analysis using Nomograms and Localized Radial Basis Function Kernels | IEEE Transactions on Information Technology in Biomedicine, IEEE Computer Society, 12(2):247-256, 2008.03. (SCI) | 2008.03 | | J Vaidya, H Yu, X Jiang | Privacy-Preserving SVM Classification | Knowledge and Information Systems, Springer, 14(2):161-178, 2008.02. (SCI-E) | 2008.02 | | B Cho, H Yu, K Kim, T Kim, I Kim, S Kim | Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods | Artificial Intelligence in Medicine, Elsevier, 962:1-17, 2008.01. (SCI) | 2008.01 | | H Yu, S Hwang, KCC Chang | Enabling Soft Queries for Data Retrieval | Information Systems, Elsevier, 32: 560-574, 2007.06. (SCI) | 2007.06 | | Y Xu, EJ Vanbeek, H Yu, G McLennan, J Guo, EA Hoffman | Computer-aided Classification of Interstitial Lung Disease via MDCT: 3D Adaptive Multiple Feature Method (3D AMFM) | Academic Radiology, 13:969-978, 2006. (SCI) | 2006.08 | | H Yu, J Vaidya, X Jiang | Privacy-Preserving SVM Classification on Vertically Partitioned Data | Lecture Notes in Artificial Intelligence, Springer, 3918:647-656, 2006.03. (SCI-E) | 2006.03 | | H Yu | Single-Class Classification with Mapping Convergence | Machine Learning, Springer, 61:49-69, 2005. (ML'05) (SCI) | 2005.11 | | H Yu, J Yang, J Han, X Li | Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing | Data Mining and Knowledge Discovery, Springer, 11(3): 295-321, 2005. (DAMI'05) (SCI) | 2005.11 | | H Yu, J Han, KCC Chang | PEBL: Web Page Classification without Negative Examples | IEEE Transaction on Knowledge and Data Engineering, Special Issue on Mining and Searching the Web, IEEE Computer Society, 16(1): 70-81, 2004.01. (TKDE'04 Special Issue, 11% accepted) (SCI) | 2004.01 |
International Conference
| Authors | Publication | Conference | Year |
| S Kim, K Toutanova, H Yu | Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia | Annual Meeting of the Association for Computational Linguistics (ACL'12) | 2012 | | Y Kim, J Kim, H Yu | GeoSearch: Georeferenced Video Retrieval System | ACM Conf. Knowledge Discovery and Data Mining (KDD'12) | 2012 | | J Oh, T Kim, S Park, H Yu | PubMed Search and Exploration with Real-Time Semantic Network Construction | ACM Conf. Knowledge Discovery and Data Mining (KDD'12) | 2012 | | J Oh, S Park, H Yu, M Song, S Park | Novel Recommendation based on Personal Popularity Tendency | IEEE International Conference on Data Mining (ICDM'11, 12% accepted) | 2011 | | S Kim, T Qin, T-Y Liu, H Yu | Advertiser-Centric Approach to Understand User Click Behavior in Sponsored Search | ACM Conf. Information and Knowledge Management (CIKM'11) | 2011 | | B Lee, J Oh, H Yu, J Kim | Protecting Location Privacy using Location Semantics | ACM Conf. Knowledge Discovery and Data Mining (KDD'11) | 2011 | | H Yu, I Ko, Y Kim, S Hwang, WS Han | Exact Indexing for Support Vector Machines | ACM Conf. Management of Database (SIGMOD'11) | 2011 | | WS Han, J Lee, YS M, S Hwang, H Yu | A New Approach for Processing Ranked Subsequence Matching Based on Ranked Union | ACM Conf. Management of Database (SIGMOD'11) | 2011 | | J Lee, MD Pham, J Lee, WS Han, H Yu | Processing SPARQL Queries with Regular Expressions in RDF Databases | ACM Workshop on Data and Text Mining in Bioinformatics (DTMBIO'10) | 2010 | | H Yu, S Kim | Passive Sampling for Regression | IEEE Int. Conf. Data Mining (ICDM'10, 19% accepted) | 2010 | | H Yu, S Kim, S Na | RankSVR: Can Preference Data Help Regression? | ACM Conf. Information and Knowledge Management (CIKM'10, 13.4% accepted) | 2010 | | M Song, H Yu, WS Han | Combining Active Learning and Semi-supervised Learning Techniques to Extract Protein Interaction Sentences | International Workshop on Data Mining in Bioinformatics (BIOKDD'10) | 2010 | | J Oh, T Kim, S Park, WS Han, H Yu | Dynamic Concept Ontology Construction for PubMed Queries | ACM Workshop on Data and Text Mining in Bioinformatics (DTMBIO'10) | 2010 | | WS Han, WS Kwak, H Yu | On Supporting Effective Web Extraction | Int. Conf. on Data Engineering (ICDE'10, 21% accepted) | 2010 | | H Yu, J Oh, WS Han | Efficient Feature Weighting Method for Ranking | ACM Conf. on Information and Knowledge Management, 2009. (CIKM'09, 14.5% accepted) | 2009 | | H Yu, T Kim, J Oh, I Ko, S Kim, WS Han | Enabling Multi-Level Relevance Feedback on PubMed by Integrating Rank Learning into DBMS | ACM Workshop on Data and Text Mining in Bioinformatics, 2009. (DTMBIO'09) | 2009 | | H Yu, T Kim, J Oh, I Ko, S Kim | RefMed: Relevance Feedback Retrieval System for PubMed | ACM Conf. on Information and Knowledge Management, 2009. (CIKM'09) | 2009 | | NA Vien, VH Viet, T Chung, H Yu, S Kim, B Cho | VRIFA: A Nonlinear SVM Visualization Tool using Nomogram and LRBF Kernels | ACM Conf. on Information and Knowledge Management, 2009. (CIKM'09) | 2009 | | H Yu, Y Kim, S Hwang | An Efficient Method for Learning Ranking SVM | Pacific-Asia Conf. on Knowledge Discovery and Data Mining, 2009. (PAKDD'09, 11.5% accepted) | 2009 | | B Park, J Hong, Y Won, H Yu | Fault Detection in IP-Based Process Control Networks using Data Mining Technique | IFIP/IEEE Int. Symp. on Integrated Management, 2009. | 2009 | | S Hwang, H Yu | Mining and Processing Category Ranking | ACM SAC Data Mining Track, 2007.03. | 2007.03 | | H Yu, J Vaidya, X Jiang | Privacy-Preserving SVM Classification on Vertically Partitioned Data | Pacific-Asia Conf. on Knowledge Discovery and Data Mining, 2006. (PAKDD'06, 20% accepted) | 2006 | | H Yu, X Jiang, J Vaidya | Privacy-Preserving SVM using Nonlinear Kernels on Horizontally Partitioned Data | ACM SAC Data Mining Track, 2006. (ACM SAC'06) | 2006 | | H Yu | SVM Selective Sampling for Ranking with Application to Data Retrieval | ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 2005. (KDD'05, 12% accepted) | 2005 | | H Yu, S Hwang, KCC Chang | RankFP: A Framework for Supporting Rank Formulation and Processing | Int. Conf. on Data Engineering, 2005. (ICDE'05, 19% accepted) | 2005 | | C Liu, X Yan, H Yu, J Han, PS Yu | Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs | Siam Data Mining Conf., 2005. (SDM'05, 18% accepted) | 2005 | | H Yu, D Searsmith, X Li, J Han | Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining | Int. Conf. on Data Mining, 2004. (ICDM'04, 23% accepted) | 2004 | | H Yu, J Yang, J Han | Classifying Large Data Sets Using SVM with Hierarchical Clusters | ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 2003. (KDD'03, 13% accepted, received student scholarship award) | 2003 | | H Yu | SVMC: Single-Class Classification With Support Vector Machines | Int. Joint Conf. on Artificial Intelligence, 2003. (IJCAI'03, 20% accepted, received student scholarship award) | 2003 | | H Yu, C Zhai, J Han | Text Classification from Positive and Unlabeled Documents | Int. Conf. on Information and Knowledge Management, 2003. (CIKM'03, 15% accepted, received student scholarship award) | 2003 | | H Yu, J Yang, W Wang, J Han | Discovering Compact and Highly Discriminative Features or Feature Combinations of Drug Activities Using Support Vector Machines | IEEE Computer Society Bioinformatics Conf., 2003. (CSB'03, 18.5% accepted) | 2003 | | H Yu | General MC: Estimating Boundary of Positive Class from Small Positive Data | IEEE Int. Conf. on Data Mining, 2003. (ICDM'03, 23.8% accepted) | 2003 | | H Yu, J Han, KCC Chang | PEBL: Positive Example Based Learning for Web Page Classification Using SVM | ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 2002. (KDD'02, 14% accepted, received student scholarship award) | 2002 | | H Yu, KCC Chang, J Han | Heterogeneous Learner for Web Page Classification | IEEE Int. Conf. on Data Mining, 2002. (ICDM'02, 20% accepted) | 2002 | | DA Kauwell, J Levin, H Yu, Y Lee, J Ellen, A Bahalla | Does Visualization Improve Our Ability To Find And Learn From Internet Based Information? | ACM SIGIR Int. Conf. on Research and Development in Information Retrieval, 2001. (SIGIR'01) | 2001 | | DA Kauwell, J Levin, Y Lee, H Yu | Knowledge Construction With Visual Representations Of Distributed Information | Int. World Wide Web Conf., 2000. (WWW'00) | 2000 | | DA Kauwell, J Levin, Y Lee, H Yu, D Schiff | Visualization of Web-Based Searches With Knowledge Construction Tools | Symp. on Human Interaction with Complex Systems, Global Interaction through Information Technology, 2000. (HICS'00) | 2000 |
| Authors | Publication | Book | Year |
| H Yu, S Kim | SVM Tutorial – Classification, Regression and Ranking | Handbook of Natural Computing (ISBN: 978-3-540-92909-3), Springer | 2010 | | H Yu, A Doan, J Han | Mining for Information Discovery on the Web: Overview and Illustrative Research | Intelligent Technologies - Advances in Agents, Data Mining, and Learning, N. Zhong (ed.), Springer-Velag, 2003. | 2003 |
| Authors | Publication | Journal or Conference | Year | Link |
| S kim, H Yu | VRIFA: LRBF 커널과 Nomogram을 이용한 예측 및 비선형 SVM 시각화도구 | 한국멀티미디어학회 | 2010.05 | | | S Na, S Kim, H Yu | 랭킹 데이타를 활용한 회귀분석 성능 개선 | 데이타베이스연구 | 2010.04 | | | J Song, J Oh, E Yang, H Yu | 랭킹 SVM과 RDBMS의 밀결합 통합 - Tightly coupled Integration of Ranking SVM and RDBMS | 정보과학회논문지:데이터베이스 36권 4호 247-253 | 2009.08 | | | J Song, J Oh, E Yang, H Yu | 밀결합 접근법 기반의 Ranking SVM과 RDBMS의 통합 | 제35회 정보과학회 추계학술대회 (추계2008 우수논문 및 정보과학회논문지 초청논문선정), 2008. | 2008 | |
|