Journal Papers

  1. Zhang X., Hu X., He T, Park, E.K., Zhou X., Utilizing Different Link Types to Enhance Document Clustering based on Markov Random Field Model with Relaxation Labeling, accepted to be published in IEEE Transactions on Systems, Men and Cybernetics, Part A, 2012
  2. Chen X., Hu X, He T, An Y. Wu X., Inferring functional groups from microbial gene catalogue with probabilistic topic models,  accepted to be published in IEEE Transactions on NanoBioscience, 2012
  3. Chen Y., Yin X., Li Z. Hu X., Promoting Ranking Diversity for Biomedical Information Retrieval based on LDA, accepted to be published in BMC Genomics, 2012
  4. Hu Q., Huang J., Hu X., A Factor Analysis Based Approach for Genomics Information Retrieval, accepted to be published in BMC Bioinformatics, 2012
  5. Wang X,  Li G-Z, Jia-Ming Liu J-M,  Hu X., and  Zhao R-W, Multi-Label Learning for Protein Subcellular Location Prediction,  accepted to be published in IEEE Transactions on NanoBioscience, 2012
  6. Liu J., Li Z., Hu X., Chen Y., Multi-objective Dynamic Population Shuffled Frog-leaping Biclustering of Microarray Data, BMC Genomics, 2012
  7. Chen X., Hu X., Lim T; Shen X., Park E., Rosen G., Exploit the Functional and Taxonomic Structure of Genomic Data by Probabilistic Topic Modeling, accepted to be published in  IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2011, Vol 8(2), March 2011, pp294-307
  8. Hu X., Ng M., Wu F.X , Sokhansanj B, Mining, Modeling and Evaluation of Sub-Networks from Large Biomolecular Networks and its Comparison Study,  in the IEEE Transactions on Information Technology in Biomedicine, March 2009, Vol 13, No 2., pp184-194
  9. Li Y., Hu X., Lin H., Yang Z. , A Framework for Semi-supervised Feature Generation and its Applications in Biomedical Literature Mining, in IEEE/ACM Transactions on Computational Biology and Bioinformatics, March –April, 2011, pp 294-307
  10. Lu C., Hu X., J. Park, Exploiting the Social Tagging Network for Web Clustering, accepted to be published in IEEE Transactions on Systems, Men and Cybernetics, Part A, Vol 41 (5), Sept., 2011, pp840-852
  11. Kong W., Mou X., Hu X., Exploring Matrix Factorization Techniques for Significant Genes Identification of Alzheimer’s Disease Microarray Gene Expression Data, accepted to be published in BMC Bioinformatics, 2011
  12. Liu J., Li Z., Hu X., Chen Y., Park E., Dynamics Biclustering of Microarray Data by Multi-Objective Immune Optimization, in BMC Genomics, 2011
  13. Yin S., Li. Z., Huanf X., Hu X.,  A relevance-novelty combined model for genomics search result diversification, in BMC Bioinformatics, 2011
  14. Bao J., Hu X., Wei Q., Song J., Han C., Liang M., Weak Ration Rules: A Generalized Boolean Association Rules, accepted to be published in International Journal of Data Warehousing and Mining, 2011
  15. Tianyu Cao, Xindong Wu, Song Wang, Hu X., Maximizing influence spread in modular social networks by optimal resource allocation. Expert Syst. Appl. 38(10): 13128-13135 (2011)
  16. Mingyu You, Rui-Wei Zhao, Guo-Zheng Li, Hu X: MAPLSC: A novel multi-class classifier for medical diagnosis. IJDMB 5(4): 383-401 (2011)
  17. Lu C., Park. J., Hu X.,  User Tags versue Expert-created metadata: A Comparison between LibraryThing tags and Library Congress Subject Headings, accepted to be published in Journal of Information Science
  18. Hu X., Shen X., Mining Biomedical Literature for Identification of Potential Virus/Bacteria, in IEEE Intelligent Systems, Nov/Dec 2009, Vol 24 No. 6, pp73-77
  19. Liu J., Li Z., Hu X., Chen Y., Biclustering of Microarray Data with Multi-Objective Particle Swarm Optimization based on Crowding Distance, accepted in BMC Bioinformatics Special Issue
  20. Xu M,  Zhou S., Guan J, Hu X: A path-traceable query routing mechanism for search in unstructured peer-to-peer networks. J. Network and Computer Applications 33(2): 115-127 (2010)
  21. Chen Y., Li Z., Wang X., Feng J., Hu X., Predicting Gene Function using Few position Examples and Unlabeled Ones, accepted to be published in BMC Genomics
  22. An Y., Hu X., Song I-Y, Maintaining Mappings between Conceptual Models and Relational Schemas, accepted to be published in Journal of Database Management
  23. Wu D., Hu X., He T., Park E. Wu X., Wang X., Feng J., Protein Translation Regulatory Networks Analysis based on Hierarchical Random Graphs,  BMC Bioinformatics (in press).
  24. Liu J., Li Z., Hu X., Chen Y., MOACO Biclustering of Gene Expression Data, in International Journal of Functional Informatics and Personalized Medicine, Vol 3, No 1, 2010
  25. Song M. Hu X., Yoo I., Koppel E., A dynamic and semantically-aware Technique for document clustering in biomedical literature, accepted in the International Journal of Data Warehousing and Mining,
  26. Hu X., Park, E.K., Zhang X., Microarray Gene Cluster Identification and Annotation through Cluster Ensemble and EM based Informative Textual Summarization, in IEEE Transactions on Information Technology in Biomedicine, Sept., 2009, Vol. 13, No. 5, pp832-840
  27. Hu G., Zhou S., Guan J., Hu X., Towards Effective Document Clustering: A Constraint K-Means based Approach, in Information Processing and Management,44(2008), pp1397-1409
  28. Tang Y.C., Zhang Y-Q,  Huang Z., Hu X.,, and Zhao Y. Recursive Fuzzy Granulation for Gene Subsets Extraction and Cancer Classification, in IEEE Transactions on Information Technology in Biomedicine , Vol 12, No. 6, Nov., 2008, pp 723-730
  29. Hu X., Wu D., Data Mining and Predictive Modeling of Biomolecular Network from Biomedical Literature Databases, in IEEE/ACM Transactions on Computational Biology and Bioinformatics, (April-June 2007),  pp251-263
  30. Hu X., Sokhansanj B, Wu D., Tang Y., A Novel Approach for Mining and Dynamic Fuzzy Simulation of Biomolecular Network,  in IEEE Transactions on Fuzzy Systems, pp1219-1229, Dec. 2007
  31. Zhou X., Hu X., Zhang X., Topic Signature Language Models for Ad-hoc Retrieval, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Sept., 2007, pp1276-1186
  32. Yoo I., Hu X., Song I-Y, A Coherent Document Clustering and Text Summarization Approach through a Scale-free Ontology-enriched Graphical Representation, BMC Bioinformatics 8(Suppl 9):S4
  33. Hu X., Wu FX., Mining and state-space based modeling and verification of sub-networks from large biomolecular networks, BMC Bioinformatics 2007, 8:324
  34. Wang J.., Hu X., Zhu D., A Comparison and Scenario Analysis of Leading Data Mining Software, accepted to appear in International Journal of Knowledge Management, 2008
  35. Zhang X., Hu X., Xia J., Zhou X., Achananuparp P., Utilization of Global Ranking Information in Graph-based Biomedical Literature Clustering, one of the 5 best papers in DaWak 07 and extended versions to be accepted in the International Journal of Data Warehousing and Mining, 2008
  36. Zhang X., Jing L., Hu X., Ng M., Xia J., Zhou X., Medical Document Clustering Using Ontology Based Term Similarity Measures, accepted to be published in the International Journal of Data Warehousing and Mining, 2008
  37. Yoo I., Hu X., Song I-Y, Biomedical Ontology Improves Biomedical Literature Clustering Performance: A Comparison Study  to be published in the special issues of 19th IEEE CBMS 2006  in the International Journal of Bioinformatics Research and Application
  38. Wu C., Hu X., Yang J., On blocks and coverings based on semi-equivalence relation in Pansystems Methodology, accepted to be published in The International Journal of Systems and Cybernetics (KYBERNETES), Volume 36 Nos. 3-10, 2007 
  39. Du A., Hu X., Pan Y., Prediction of the disulfide bridges using SVM, to appear in the International Journal of Bioinformatics Research and Application
  40. Wang J., Hu X., Zhu D., Diminishing Downsides of Data Mining, in the International Journal of Business Intelligence and Data Mining, 2006
  41. Hu X., Gene-Miner: Integration of Cluster Ensemble and Text Mining for Comprehensive Gene Expression Analysis, in the International Journal of Bioinformatics Research and Application, Vol. 2, No. 3, 2006, pp 325-338
  42. Song M, Song I-Y, Hu X., Allen B., Integration of Association Rules and Ontology for Semantic Query Expansion, to appear in the Journal of  Data and Knowledge Engineering (DKE)
  43. Song I-Y., Maguire J.D., Lee K.J., Choi N. Hu X., Chen P., Designing a Data Warehouse for Cyber Forensics, Journal of Digital Forensics, Security and Law, Vol. 1 No.   3, September, 2006, (extended version based on previous paper presented at the International Conference on Digital Forensics, April 20-21, 2006, Las Vegas, NV, USA)
  44. Zhou X., Hu X., Lin X., Zhang X., Relation-based Document Retrieval for Biomedical IR,   in LNCS Computational Systems Biology. Vol. 4. pp. 112 – 128
  45. Huang Z., Li Y., Hu X., Anti-parallel Coiled Coils Structure Prediction by Support Vector Machine Classification, in LNCS Transactions on Systems Biology, Vol. 4. pp. 1 - 8
  46. Hu X., Lin T.Y., Song I-Y., Lin X., Yoo I., Song M., A Semi-supervised Efficient Learning Approach to Extract Biological Relationships from Web-based Biomedical Digital Library, in International Journal of Web Intelligence and Agent System, Vol .4, No. 3, 2006
  47. Hu X., Yoo I., Zhang X., Nanavati P., Das D., Wavelet Transformation and Cluster Ensemble for Gene Expression Analysis, in the International Journal of Bioinformatics Research and Application, Vol. 1, No. 4, 2006, pp 447-460
  48. Gaskins M., Rumm P., Cummings C., Hu X., Terrorism Preparedness Two Years After the Bioterrorism Preparedness Accountability Indicators Project, Journal of Homeland Security, Dec., 2005, http://www.homelandsecurity.org/newjournal/Articles/displayArticle2.asp?article=135
  49. Hu X., Xu. X., Mining Novel Connections from Online Biomedical Databases Using Semantic Query Expansion and Semantic-Relationship Pruning, International Journal of Web and Grid Service, 1(2), 2005, pp 222-239
  50. Hu X., Zhang X., Yoo, I., Atwood M., Rumm, P., A Text Mining Approach for Identifying Candidate Viruses as Potential Bio-terrorism Weapons, GESTS International Transaction on Compute Science and Engineering, Vol. 10, No 1., July 2005, pp 109-120
  51. Song, M., Song I-Y, Hu X., Allen, B., KXtractor: An Effective Biomedical Information Extraction Technique Based on Mixture Hidden Markov Models, in Transactions on Computational Systems Biology, Vol. 2, pp 68-81
  52. Hu X., Song I-Y., Han H., Yoo I., Prestrud A., Brennan M.F., Brooks A.D., Temporal Rule Induction for Clinical Outcome Analysis, International Journal of Business Intelligence and Data Mining, 1(1), 122-136
  53. Bnnerjee P., Hu X., Yoo I., Discoverying The Wealth of Public Knowledge: An  Approach to Early Threat Detection, AIS SIGSEMIS Bulletin, Vol. 2, Issue (3&4), 2005, pp 77-85
  54. Hu X., Mining and Analyzing Scale-free Protein-Protein Interaction Network, International Journal of Bioinformatics Research and Application, Vol. 1, No. 1, pp 81-101, 2005
  55. Hu X., Mining Novel Connections from Large Online Digital Library Using Biomedical Ontologies, Library Management Journal, special issue in Libraries in the Knowledge Era: Exploiting the knowledge wealth for Semantic Web Technology, Vol. 26, No. 4/5, 2005, pp 261-270
  56. Hu X., Lin T.Y., Han J., A New Rough Set Model Based on Database Systems, Journal of Fundamental Informatics, Vol. 59, Number 2,3, Feb., 2004, pp 135-152 (extended version based on paper presented at 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing)
  57. Hu X., A Data Mining Approach for Retail Banking Attrition Analysis, in International Journal of Applied Intelligence, 22(1), pp 47-60, Jan-Feb., 2005
  58. Hu X. Cercone N., A Data Warehouse/OLAP Framework for Web Usage Mining and Business Intelligence Reporting, International Journal of Intelligence Systems, Vol. 19, No. 7, July 2004, pp 567-584
  59. Han J., Hu X., Cercone, N., A Visualization Model of Interactive Knowledge Discovery Systems and Its Implementations, Information Visualization, Vol. 2, Issue 2, pp 105-125, 2003
  60. Hu X., DBHReduction: A Preprocessing Algorithm for Data Mining Application, Applied Mathematics Letters, Vol. 16, Issue 6, pp 889-895, 2003
  61. Cercone N., Hou L., Keselj V., An A.,. Naruedomkul N.,, Hu X., From Computational Intelligence to Web Intelligence , in IEEE Computer, November 2002, pp 72-76
  62. Hu X., Cercone N., Discovering Maximal Generalized Decision Rules through Horizontal and Vertical Data Reduction, Computational Intelligence: An International Journal, 17(4), pp 685-702, 2001
  63. Hu X., Cercone N., Data Mining via Discretization, Generalization and Rough Set Feature Selection, Knowledge and Information System: An International Journal, 1(1), pp 33-60, 1999
  64. Hu X., Cercone N., Learning in Relational Databases: A Rough Set Approach, Computational Intelligence: An International Journal, 11(2), pp 323-338, 1995
  65. Hu X., Cercone N., Shan N., A Rough Set Approach to Compute All Maximal Generalized Rules, Journal of Computing & Information, 1(1), 1995
  66. Hu X., Object Aggregation and Cluster Identification: A Knowledge Discovery Approach, Applied Math. Letter, 7(4), 1994, pp 29-34

 

 

 

Book Chapters

  1. Wang J. Hu X., Zhou, Applications of Data Mining in the healthcare Industry, Encyclopedia of Healthcare Information Systems, Idea Group 2008
  2. Wang J., Hu X., Zhou D, Organizational Data Warehousing, in Encyclopedia of Information Technology Curriculum Integration, Vol. II, L.A. Tomei (Ed), Information Science Reference, 2008
  3. Wang J. Hu X., Zhou D. Data Mining in Public Administration, in Handbook of Research on Public Information Technology, Idea Group Inc 2007
  4. Wang J., Hu X., Zhou D., Minimizing the Minus Sides of Mining Data, Advances in Data Warehousing and Mining, Vol. 2, D. Taniar(Ed). Idea Group Publisher,
  5. Huang Z., Zu X., Hu X., Machine Learning Approach for Human Mitochondria Protein Prediction, in Computational Intelligence in Bioinformatics, Fogel G.,  Corne D., Pan Y. (Eds). IEEE Press
  6. Wu D., Hu X., Topological Analysis and Sub-Network Mining of Protein-Protein Interactions, in Advances in Data Warehousing and Mining, D. Taniar (Ed), Idea Group Publisher, 2006
  7. Hu X., Zhang X., Wu D., Zhou X., Rumm P., Text Mining the Biomedical Literature for Identification of Potential Virus / Bacterium as Bioterrorism Weapons, in Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security, H. Chen, E. Reid, J. Sinai, A. Silke, B. Ganor (Eds), Springer, 2006
  8. Hu X., Zhang X., Yoo I., Zhou X., Wu D., A Comprehensive Comparison Study of 7 Methods of Mining Hidden Links from Biomedical Literatures, accepted to be published in Knowledge Discovery in Bioinformatics: Techniques, Methods and Applications, X. Hu & Y. Pan (Eds). Wiley & Son, 2006
  9. Hu X., Natural Language Processing and Ontology-enhanced Biomedical Literature Mining for Systems Biology, in Computational Systems Biology, A. Kriete and E. Roland (Eds), Elsevier, Chapter 3, pp 39-56
  10. Banerjee P., Hu X., Yoo I., Semantic Data Mining, in Encyclopedia of Data Warehousing and Data Mining, (Ed. John Wang), Idea Group Publishing, USA, 2005, pp 1010-1014
  11. Song M., Hu X., Song I-Y., and Han Y. , Information Extraction in Biomedical Literature,  in Encyclopedia of Data Warehousing and Data Mining, John Wang (Ed) Idea Group Publishing, USA, 2005, pp 615-620
  12. Shelfer K., Hu X., Making Better Sense Of The Demographic Data Value In The Data Mining Procedure, in Foundations and Novel Approaches in Data Mining, Lin T.Y., Ohsuga S., Liau C.J, Hu X. (Eds), Springer-Verlag, 2005, pp 331-362
  13. Cunningham C., Hu X., Data Mining Medical Digital Libraries, in Encyclopedia of Data Warehousing and Mining, John Wang, (Ed) Idea Group Publishing, USA, 2005, pp 278-282
  14. Hu X., Yoo I., Scalable Learning Method To Extract Biological Information from Huge Online Biomedical Literature, Chapter 16 in Computational Web Intelligence: Intelligent Technology for Web Applications, World Scientific Publisher, 2004, pp 329-346
  15. Han J., Cercone N., Hu X. An Interactive Visualization System for Mining Association Rules,  Fuzzy Sets, Rough Sets and Granular Computing, T.Y. Lin, Y.Y.Yao, L.A. Zadeh (Eds) Springer-Verlag, 2002 , pp 145-165
  16. Hu X., Cercone N., Ziarko W., Generation of Multiple Knowledge from Databases Based on Rough Set Theory, in Rough Sets and Data Mining: An Imprecise Analysis of Data, T.Y. Lin & N. Cercone (Eds) Kluwer Academic Publishers, 1997, pp 109-122
  17. Cercone N., Hamilton H., Hu X., Shan N., Data Mining Using Attribute-Oriented Generalization and Information Reduction, in Rough Sets and Data Mining: An Imprecise Analysis of Data , T.Y. Lin & N. Cercone (Eds), Kluwer Academic Publishers, 1997, pp 199-228
  18. Ziarko W., Cercone N., Hu X., Rule Discovery from Databases: A Decision Matrix Approach, Foundations of Intelligent Systems, Zbigniew Ras, Maciek Michalewicz (Eds), Springer-Verlag, 1996
  19. Hu X., Cercone N., Han J., An Attribute-Oriented Rough Set Approach for Knowledge Discovery in Databases, Rough Sets, Fuzzy Sets and Knowledge Discovery, W. Ziarko (Ed), Springer Press, 1994
  20. Hu X., Shan N., Cercone N., Ziarko W., DBROUGH: A Rough Set Based Knowledge Discovery System, Methodologies for Intelligent Systems, Zbigniew Ras, Maria Zemankova (Eds), Springer-Verlag Press, 1994

 

 

Conference Papers

  1. Chen X., Hu X., Zhou Z., An Y., He T., Park E.K., Modeling Semantic Relations between Visual Attributes and Object Categories via Dirichlet Forest Prior, in ACM CIKM 2012 (full paper, acceptance rate: 13.4)
  2. An Y, Hu X., Song Y., Learning to Discover Complex Mappings from Web Forms to Ontologies,  in ACM CIKM 2012( full paper, acceptance rate: 13.4%)
  3. Li F., He T., Hu X., Incorporating Word Correlation into Tag-Topic Model for Semantic Knowledge Acquisition, in ACM CIKM 2012 (short paper)
  4. Wang J., Hu X., Tu X., He T., Author-Conference Topic-Connection Model for Academic Network Search, in ACM CIKM 2012 (short Paper)
  5. Jiang X., Hu X., Shen H. He T., Manifold Learning reveals nonlinear structure in metagenomics profiles, in IEEE BIBM 2012 (full paper, acceptance rate: 19.7%)
  6. Khare R., An Y., Li J., Song I-Y and Hu X., Exploiting Semantic Structure for Mapping User-specified Form Terms to SNOMED CT, accepted in ACM IHI 2012 (regular paper)
  7. An Y., Khare R., Song I-Y and Hu X., Data Exploration and Knowledge Discovery in a Patient Wellness Tracking (PWT) System at a Nurse-Managed Health Services Center, accepted in ACM IHI 2012 (short paper)
  8. Jiang X., Jonathan D., Chen X., Hu X., Identifying enterotype in human microbiome by decomposing probabilistic topics into components, in IEEE BIBM 2012 (short paper)
  9. An Y., Khare R., Hu X., Song I-Y., Bridging Encounter Forms and Electronic Medical Record Databases Annotation, in IEEE BIBM 2012 (short Paper)
  10. Zhan J., Huang J., Hu X., Kurian J., Melek W., A Bayesian-based Prediction Model for Personalized Medical Health Care., in IEEE BIBM 2012 (short Paper)
  11. Chen X., Hu X., An Y., Xiong Z., He T., E.K. Park, Perspective Hierarchical Dirichlet Process for User-Tagged Image Modeling, accepted in the ACM CIKM 2011 (acceptance rate: 20%)
  12. Chen X., He T., Hu X., An Y. Wu X., Inferring functional groups from microbial gene catalogue with probabilistic topic models. IEEE BIBM 2011. Atlanta, GA, USA. (acceptance rate: 19%,58/299)
  13. Anton Slutsky,Yuan An,Hu X, and Igor Burstyn. Automatic Approaches to Clustering Occupational Description Data for Prediction of Probability of Workplace Exposure to Beryllium.  IEEE International Conference on Granular Computing (GrC 2011), Kaohsiung, Taiwan
  14. Yuan An, Ritu Khare, Il-Yeol Song, Hu X..Automatically Mapping and Integrating Multiple Data Entry Forms into a Database. In the Proceedings of the 30th International Conference on Conceptual Modeling (ER'11). 2011. Brussels, Belgium.
  15. Cao, Xindong Wu, Hu X., Song Wang: Active Learning of Model Parameters for Influence Maximization. ECML/PKDD (1) 2011: 280-295
  16. Lu X, Hu X, Park J-R, Huang J.: Post-based collaborative filtering for personalized tag recommendation. iConference 2011: 561-568
  17. Desai K., Brott D., Hu X., Christianson A., A system biology approach for detecting toxicity-related hotspots inside protein interaction networks, accepted to be published in the 2011 IEEE International Conference on Healthcare Informatics, Image, and Systems Biology (HISB2011)
  18. Lu C. Hu X. Chen X. J. Park, He T., Li J., The Topic-Perspective Model for Social Tagging Systems, in the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining  (SIG KDD 2010), (full paper, 77/578, acceptance rate: 13.3%)
  19. Achanauparkp, P., Hu X, He T., Guo L. Improving Diversity of Focused Summaries Through Negative Endorsements of Redundant Facts, in the 2010 IEEE/WIC/ACM International Conference on Web Intelligence (acceptance rate: 16.6%, 52/313)
  20. Chen X., Hu X., Zhou Z., Lu C., Rosen G.  He T., Park E.K, A Probabilistic Topic-Connection Model for Automatic Image Annotation, the 19th ACM Conference on Information and Knowledge Management (ACM CIKM 2010), (full paper, 127/945, acceptance rate  13.4%)
  21. Chen X., Hu X., Shen X., Rosen G., Probabilistic Topic Modeling for Genomic Data Interpretation, 2010 IEEE International Conference on Bioinformatics and Biomedicine (short paper, acceptance rate 18%)
  22. Yin X., Li Z., Huang J., Hu X., A Relevance-Novelty Combined Model for Genomics Search Result Diversification, 2010 IEEE International Conference on Bioinformatics and Biomedicine
  23. Ritu Khare, An Y., Song I-L, Hu X., Can Clinicians Create High-Quality Databases? A Study on A Flexible Electronic Health Record (fEHR) System, in the Proceedings of the 2010 ACM International Health Informatics Symposium (ACM IHI 2010 conference)
  24. Kong W., Mou X., Hu X., Exploring Matrix Factorization Techniques for Significant Genes Identification of Microarray Dataset, 2010 IEEE International Conference on Bioinformatics and Biomedicine
  25. Achananuparp P, Hu X., He T., Yang C. An Y., Answer Diversification for Complex Question Answering on the Web, accepted in PAKDD 2010
  26. Cao T., Wu X., Wang S., Hu X., OASNET: An Optimal Allocation Approach to Influence Maximization in Modular Social Network, accepted to be published in ACM SAC 2010 (regular paper, acceptance rate: 33%)
  27. Hu X., Zhang X, Lu C., Park E.K., Zhou X.: Exploiting Wikipedia as external knowledge for document clustering. ACM SIG KDD 2009: 389-396 (full paper)
  28. Wu D., Hu X. Hu T.,, Exploratory Analysis of Protein Translation Regulatory Networks Using Hierarchical Random Graphs, accepted in the 2009 IEEE International Conference on Bioinformatics and Biomedicine, (acceptance rate: 18.8%, 44/233)
  29. Lu C., Park J-R, Hu X., Song I-Y, Metadata Effectiveness: A Comparison between User-Created Social Tags and Author-Provided Metadata, 2009 Hawaii International Conference on System Science
  30. Sokhansanj B., Datta S., Hu X.: Scalable Dynamic Fuzzy Biomolecular Network Models for Large Scale Biology. Fuzzy Systems in Bioinformatics and Computational Biology 2009: 235-255
  31. Liu J., Li Z., Hu X., Chen Y., Microarray Biclustering with Crowding Based MOACO, accepted in the 2009 IEEE International Conference on Bioinformatics and Biomedicine (short paper, acceptance rate: 16%, 33/233)
  32. Zhou X., Achananuparp P., Park E.K, Hu X., Zhang X: AskDragon: a redundancy-based factoid question answering system with lightweight local context analysis. ACM/IEEE JCDL 2009: 483-484
  33. Chen X., Hu X., Shen X., Spatial Weighting for Bag-of-Visual-Words Representation and Its Application in Content-Based Image Retrieval, accepted in the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009)
  34. Achanauparp, P, Hu X., Yang C., Addressing the Variability of Natural Language Expression in Sentence Similarity with Semantic Structure of the Sentences, accepted in the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009)
  35. Chen Y., Li Z., Hu X., Diao H., and Liu J., Predicting Gene Function only with Positive Examples, in 2009 IEEE International Conference on Granular Computing (GrC 09)
  36. Liu J., Li Z., Hu X., and Chen Y., Multi-objective Ant Colony Optimization Biclustering of Microarray Data, in 2009 IEEE International Conference on Granular Computing (GrC 09)
  37. Yang X, Yang Y., and Hu X., A New Rough Set Model for Knowledge Acquisition in Incomplete Information, in  2009 IEEE International Conference on Granular Computing (GrC 09)
  38. An Y., Hu X., Song IL., Round-Trip Engineering for Maintaining Conceptual-Relational Mappings, accepted in the 20th Conference on Advanced Information Systems Engineering, June 16-20, 2008, Montpellier, France, (acceptance rate: 13%, 271 submissions)
  39. Zhang X., Hu X., Zhou X., A Comparative Evaluation of Different Link Types on Enhancing Document Clustering, accepted in 31th  Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR 2008 , (acceptance rate: 17%, 85/496)
  40. Zhou X., Zhang X., Hu X., Semantic Smoothing for Bayesian Text Classification with Small Training Data, SIAM SDM 08
  41. Zhou X., Hu X., Zhang X., Wu D., He T., Lou A., A Mixture Language Model for ClassAttribute Mining from Biomedical Literature Digital Library, accepted in the 2008 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 08), Nov 3-5, 2008, Philadelphia, PA 19104
  42. Liu J., Li Z., Hu X., Chen Y., Multi-Objective Particle Swarm Optimization Biclustering of Microarray Data, accepted in the 2008 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 08), Nov 3-5, 2008, Philadelphia, PA 19104
  43. Song M., Hu X., Yoo I., Koppel E.,  Document Clustering by Semantic Smoothing and Dynamic Growing Cell Structure (DynGCS) for Biomedical Literature. DaWaK 2008: 217-226
  44. Achananuparp P., Hu X, Shen X., The Evaluation of Sentence Similarity Measures. DaWaK 2008: 305-316
  45. Achananuparp P. Zhou X., Hu X., Zhang X., Semantic Representation in Text Classification Using Topic Singature Mapping, To appear in Proceedings of 2008 IEEE  International Joint Conference on Neural Networks, June 1-6, Hong Kong
  46. Achananuparp P., Hu X.,, Xiaohua Zhou, Xiaodan Zhang, Utilizing Sentence Similarity and Question Type Similarity to Response to Similar Questions in Knowledge-Sharing Community, in WWW 2008 Workshop on Question Answering on the Web, April 22, Beijing, China 2008
  47. Liu J.,  Li Z. and Hu X., Multi-Objective Evolutionary Algorithm for Mining 3D Clusters in Gene-sample-time Microarray Data, in 2008 IEEE International Conference on Granular Computing (GrC 08)
  48. Lu C.,  Zhang X.,, Park J., Hu X. and  He T., Web Clustering based on the Information of Sibling Pages, in 2008 IEEE International Conference on Granular Computing (GrC 08)
  49. Wu C., Hu X. and  Wang E., Combination of Granules, Rough Sets with Evidence Theory and Its Application in Incomplete Data Fusion for Belief Estimation, in 2008 IEEE International Conference on Granular Computing (GrC 08)
  50. Mao C., Hu X., Towards a Software Diagnosis Method Based on Rough Set Reasoning, IEEE 8th International Conference on Computer and Information Technology, (CIT'2008: July 8-11, 2008, Sydney, Australia,
  51. Hu X., Wu F.X. Ng M., Sokhansanj B., Mining and Dynamic Simulation of Sub-Networks from Large Biomolecular Networks, in 2007 International Conference on Artificial Intelligence, June 25-28, Las Vegas, USA (Best Paper Award, out of 500 submissions)
  52. Zhou X., Zhang X., Hu X., Dragon Toolkit: Incorporating Auto-learned Semantic Knowledge into Large-Scale Text Retrieval and Mining, accepted in the 2007 IEEE International Conference on Tools on AI (IEEE ICTAI 2007, short paper, acceptance rate: 16%)
  53. Zhou X., Hu X., Zhang X., A Segment-based Hidden Markov Model for Real-Setting Pinyin-to-Chinese Conversion, accepted to be published in the ACM CIKM 2007 (acceptance rate: 26%, 512 submission)
  54. Zhou X., Zhang X., Hu X., Semantic Smoothing of Document Models for Agglomerative Clustering, accepted in the Twentieth International Joint Conference on Artificial Intelligence(IJCAI 07), Hyderabad, India, Jan 6-12, 2007 (acceptance rate: 15.7%, 212/1353)
  55. Zhang X.,  Jing L., Hu X., Ng M., Zhou X., A Comprehensive Study of Ontology Based Term Similarity Measures on Document Clustering, accepted in the 12th International conference on Database Systems for Advanced Applications (DASFFA2007) (acceptance rate: 18.7%, 70/373)
  56. Zhang X., Hu X., Xia J., Zhou X., Achanauparp P. Utilization of Global Ranking Information in Graph- based Biomedical LiteratureClustering has been accepted in the 9th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2007) (acceptance rate: 30%, 45/150)
  57. Yoo I. Hu X., Song I-Y, Integrating Biomedical Literature Clustering and Summarization Approaches using Buomedical Ontology, in ACM First International Workshop on Text Mining in Bioinformatics
  58. Huang Z.,  Xu X., Hu X., Prediction Of Human Mitochondrial Proteins Using SVM And Neural Network, accepted in the 2007 Asia-Pacific Bioinformatics Conference, poster paper, Jan 15-17, 2007, HongKong
  59. Xu X., Zhang X., Hu X., Using Two-stage Concept-based Singular Value Decomposition Techniques as a Query Expansion Strategy, accepted to be published in the 2007  IEEE International Symposium on Data Mining and Information Retireval
  60. Wen J., Li Z., Zhang L., Hu X., Chen W., A New Method of Cluster-based Topic Language Model for Genomic IR, accepted to be published in the 2007  IEEE International Symposium on Data Mining and Information Retrieval
  61. Chen Wu, Hu  X,  Zhoujun Li, Xiaohua Zhou, Palakorn Achananuparp, Algorithms for Different Approximations in Incomplete Information Systems with Maximal Compatible Classes as Primitive Granules, accepted to be published in the 2007 IEEE International Conference on Granular Computing
  62. Chen Wu, Hu X, Xiajiong Shen, Xiaodan Zhang, Yi Pan, An Incremental Algorithm for Mining Default Definite Decision Rules from Incomplete Decision Tables accepted to be published in the 2007 IEEE International Conference on Granular Computing
  63. Hu X., Zhang X., Yoo I., Zhang Y-Q. A Semantic Approach for Mining Hidden Links from Complementary and Non-Interactive Biomedical Literature, Proceedings of the 6th SIAM International Conference on Data Mining (SIAM SDM 06), April 20-22, 2006, Bethesda, MD, USA, pp 200-209, (acceptance rate: 16%, 40/244)
  64. Zhou X., Hu X., Zhang X., Lin X., Song I-Y., Context-Sensitive Semantic Smoothing for the Language Modeling Approach to Genomic IR, in the Proceedings of the 29th  Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR 2006), pp 170-177 , (acceptance rate: 18.5%, 74/399)
  65. Hu X., Zhang X., Zhou X., Integration of Cluster Ensemble and EM based Text Mining for Microarray Gene Cluster Identification and Annotation, in the Proceedings of ACM 15th Conference on Information and Knowledge Management (ACM CIKM 2006), post paper, (537 submissions, 15% acceptance rate for full papers, 10% acceptance rate for post papers)
  66. Zhang X., Zhou X., Hu X., Semantic Smoothing for Model-based Document Clustering, accepted in the 2006 IEEE International Conference on Data Mining (IEEE ICDM06), Dec. 18-22, 2006, HongKong (800 submissions, acceptance rate : 20%)
  67. Hu X., Constructing Ensembles of Classifiers for Data Mining Applications based on Rough Set Theory and Set-Oriented Database Operations, in the Proceedings of the 2006 IEEE International Conference on Granular Computing (IEEE GrC 2006), Atlanta, GA, May 15-17, 2006, pp 67-73 (acceptance rate: 15%, 49/321)
  68. Yoo I., Hu X., Song I-Y., Integration of Semantic-based Bipartite Graph Representation and Mutual Refinement Strategy for Biomedical Literature Clustering, in the Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2006), short paper , pp 791-796, (acceptance rate for full paper: 11%, acceptance rate for short paper: 12%, 50 full papers, 55 short papers out of 457 submission)
  69. Yoo I., Hu X., A Comprehensive Comparison Study of Document Clustering for A Biomedical Digital Library MEDLINE, in the Proceedings of the 2006 ACM/IEEE Joint Conference on Digital Library (JCDL 2006), June 11-15, 2006, Chapel Hill, NC, USA, pp 220-229,  (acceptance rate: 15%, 28/188)
  70. Yoo I., Hu X., Clustering Ontology-enriched Graph Representation for Biomedical Documents based on Scale-Free Network Theory, accepted in the IEEE Conference on Intelligent Systems (IEEE IS’06), Sept 4-6, 2006 (acceptance rate: 16.7%, 100/600)
  71. Zhou X., Zhang X., Hu X., Using Concept-based Indexing to Improve Language Modeling Approach to Genomic, in the proceedings of the 28th  European Conference on Information Retrieval  (ECIR 2006) , pp 444-455 , (acceptance rate: 20%, 37/178)
  72. Zhu W., Xu X., Hu X., Song I-Y., Allen B., Using UMLS-based Re-Weighting Terms as a Query Expansion Strategy, in the Proceedings of the 2006 IEEE International Conference on Granular Computing (IEEE GrC 2006), Atlanta, GA, May 15-17, 2006, pp 217-222 (acceptance rate: 15%, 49/321)
  73. Zhou X., Hu X., Lin X., Han H., Zhang X., Relational-based Document Retrieval for Biomedical Literature Databases, in the Proceedings of the 11th  International Conference on Database Systems for Advanced Applications (DASFAA 2006), pp 689-701 , (acceptance rate: 25%, 47/188 )
  74. Yoo I., Hu X., Clustering Large Collection of Biomedical Literature based on Ontology-enriched Bipartite Graph Representation and Mutual Refinement Strategy, in the Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2006, pp 303-312, (acceptance rate: 20%, 100/500)
  75. Wu C., Hu X., Yang X., Yang J., Expanding Tolerance RST Models based on Cores of Maximal Compatible Blocks, accepted as full paper in  the 5th International Conference on Rough Sets and Current Trends in Computing (RSCTC 2006), (acceptance rate: 27.4%, 91/332)
  76. Zhang X., Wu D., Zhou X., Hu X., A Language Modeling Text Mining Approach to the Annotation of Protein Community, accepted  in the Proceedings of the 6th IEEE Symposium on Bioinformatics and Bioengineering (BIBE 06) (acceptance rate: 34%, 33/81)
  77. Yoo I. Hu X., Biomedical Ontology MeSH Improves Document Clustering Quality on MEDLINE Articles: A Comparison Study, accepted in the 19th IEEE International Symposium on Computer-Based Medical Systems, Salt Lake City, Utah, June 22-23, 2006
  78. Xu X., Zhu W., Hu X., Song I-Y., A Comparison of Local Analysis, Global Analysis and Ontology-based Query Expansion Strategies for Bio-medical Literature Search, accepted in 2006 IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC 2006), Taiwan, ROC, Oct 18-21, 2006
  79. Wu C., Hu X., Wang X., Yang X., Pan Y. Knowledge Dependency Relationships in Incomplete Information System Based on Tolerance Relations, accepted in 2006 IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC 2006), Taiwan, ROC, Oct 18-21, 2006
  80. Zhou X., Zhang X., Hu X., MaxMatcher: Biological Concept Extraction Using Approximate Dictionary Lookup,  in the Proceedings of the 9th  Biennial Pacific Rim International Conference on Artificial Intelligence (PRICAI 2006), short paper, pp 1145-1149 , (acceptance rate: 16.8%, 100/596),
  81. Yoo I., Hu X., Song I-Y., A Coherent Document Clustering and Text Summarization Approach through a Scale-free Ontology-enriched Graphical Representation, accepted in 8th International Conference on Data Warehouse and Knowledge Discovery (DaWak 2006),   Krakow, Poland, Sept. 4-8, 2006,  (acceptance rate 35%, 52/145)
  82. Zhong H., Hu X., Object Oriented Modeling of Protein Translation Systems, in the Proceedings of the 2006 IEEE International Confernece on Granular Computing, (IEEE GrC 2006), Atlanta, GA, May 15-17, 2006 (short paper), pp 353-356, (acceptance rate: 31%, 101/321)
  83. Hu X., Zhang X., Wu D.,, Zhou X., Rumm P., Integration of Instance-based learning & Text Mining for Identification of Potential Virus / Bacterium as Bio-terrorism Weapons, in the Proceedings of the 2006 IEEE Intelligence and Security Informatics Conference (short paper), pp 548-553
  84. Wu D., Hu X., Mining and Analyzing the Topological Structure pf Protein-Protein Interaction Networks, in the Proceedings of the 2006 ACM Symposium on Applied Computing (Bioinformatics Track), April 23-27, Dijon, Bourgogne, France, pp185-189 , (acceptance rate: 32.4%, 300/927)
  85. Song I-Y., Maguire J.D., Lee K.J., Choi N. Hu X., Chen P., Designing a Data Warehouse for Cyber Forensics, in the Proceedings of the  International Conference on Digital Forensics, April 20-21, 2006, Las Vegas, NV, USA
  86. Louie E., Lin T.Y., Hu X., Analysis of Using Granules to Find Association Rules, in the Proceedings of the 2005 IEEE International Conference on Granular Computing (IEEE GrC 2005), pp 556-560 (acceptance rate: 17.5%, 51/290)
  87. Zhu W.Z., Lin X., Hu X., Bradhard S., Visualization of Protein-Protein Interaction Network for Knowledge Discovery, in the Proceedings of the 2005 IEEE International Conference on Granular Computing (IEEE GrC 2005) pp 373-377 (acceptance rate: 17.5%, 51/290)
  88. Hu X., Li G., Yoo I., Zhaog X., Xu X., A Semantic-based Approach for Mining Undiscovered Public Knowledge from Biomedical Literature, in the Proceedings of the 2005 IEEE International Conference on Granular Computing (IEEE-GrC 2005), pp 22-28, Beijing, July 25-27, 2005 (acceptance rate: 17.5%, 51/290)
  89. Wu D., Hu X., An Efficient Approach to Detect a Protein Community from a Seed , in the Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, pp 135-141
  90. Tang Y., He Y., Zhang Y., Hu X., Sunderraman R., A Hybrid CI-Based Knowledge Discovery System on Microarray Gene Expression Data, in the Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, pp 25-30
  91. Song M., Song I-Y., Hu X., Allen B., Semantic Query Expansion Combining Association Rules with Ontologies and Information Retrieval Techniques, in the Proceedings of the 7th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2005), (Lecture Notes in Computer Science, Vol. 3589), Copenhagen, Denmark, August 22-26, 2005, pp 326-335 (acceptance rate: 31.4%, 51/162)
  92. Hu X., Yoo I., Song M., Zhang Y., Song I-Y., Mining Undiscovered Public Knowledge from Complementary and Non-interactive Biomedical Literature through Semantic Pruning, in ACM Fourteen Conference on Information and Knowledge Management (ACM CIKM 2005), 31st October-5th November, 2005, Bremen, Germany,  poster paper, pp 249-250 (regular papers: 77/425, poster paper: 86/425)
  93. Tang Y., Zhang Y., Huang Z., Hu X., Granular SVM-RFE Gene Selection Algorithm for Reliable Prostate Cancer Classification on Microarray Expression Datain the Proceedings of the IEEE 5th Symposium on Bioinformatics and Bioengineering, (IEEE BIBE 2005), Oct. 19-21, 2005, short paper, pp 290-293, (30 regular papers, 20 short papers accepted out of 163 submission, acceptance rate: 30%)
  94. Jin B., Zhang Y-Q., Hu X., Support Vector Machines with Evolutionary Interval Neural Networks for Granular Feature Transformation in Making Effective Biomedical Data Classification, in the Proceedings of the 2005 IEEE International Conference on Granular Computing (IEEE-GrC 2005), Beijing, July 25-27, 2005, (short paper), pp 163-166, (acceptance rate: 30%, 87/290)
  95. Gaskins M, Rumm P., Cummings C., Hu X., An Update of Terrorism Preparedness Evaluations, Two Years after the Bioterroism Preparedness Accountability Indicators Project, (short version) American Public Health Association 133rd Annual Meeting & Exposition, Nov. 5-9, 2005
  96. Han. J., Sanchez R., Hu X., Feature Selection Based on Relative Attribute Dependency: An Experimental Study, in the Proceedings of the 10th International conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, (2005 RSFDGrC2005), Sept. 3-5, 2005, Regina, Sask., Canada, pp 214-223, (acceptance date: 43%, 119/277)
  97. Huang Z., Li Y., Hu X., SVM Classification to Predict Two Stranded Anti-parallel Coiled Coils based on Protein Sequence Data, in the Proceedings of the 2005 International Conference on Computational Science and its Applications, pp 374-382 , (acceptance rate: 20%, 540/2700)
  98. Song M., Song I-Y., Hu X., Allen B., Integrating Text Chunking with Mixture Hidden Markov Models for Effective Biomedical Information Extraction. International Conference on Computational Science (2) 2005: pp 976-984
  99. Banerjee P., Hu X., Yoo I., Discovering the Wealth of Public Knowledge: An Approach to Early Threat Detection, Dept. of Homeland Security R&D Conference, Boston, MA, May, 2005
  100. Hu X., Yoo I., Rumm P., Atwood M., Mining Candidate Viruses as Potential Bio-Terrorism Weapons from Biomedical Literature, in Proceedings of the 2005 IEEE International Conference on Intelligence and Security Informatics (IEEE ISI-2005), Atlanta, Georgia, May 19-20, 2005, pp 60-71
  101. Song M., Song I-Y., Hu X., Allen B., An Automatic Unsupervised Querying Algorithm for Efficient Information Extraction in Biomedical Domain, in PAKDD-2005 (Pacific-Asia Knowledge Discovery in Databases)., Hanoi, Vietnam, May 18-20, 2005, pp 173-179, short paper (48 full papers, 49 short papers out of 327 submissions,  14.6% for full paper, 15% for short paper)
  102. Hu X., Yoo I., Song I-Y., Song M., Han J., Lechner M., Extracting and Mining Protein-Protein Interaction Network from Biomedical Literature, in the Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2004), Oct. 7-8, 2004, San Diego, USA, (Best Paper Award), pp 244-251
  103. Hu X., Lin T.Y, Song I-Y., Lin X., Yoo I., Lechner M., Song M., Ontology-based Scalable and Portable Information Extraction System to Extract Biological Knowledge from Huge Collection of Biomedical Web Documents, in the Proceedings of the 2004 IEEE/ACM Web Intelligence Conference, Sept, 2004 (nominated for Best Paper Award), pp77-83, (acceptance rate: 16%, 60/375)
  104. Han J., Hu X., Lin T.Y., Feature Subset Selection Based on Relative Dependency between Attributes. In the Proceedings of the International Conference on Rough Sets and Current Trends in Computing 2004, pp 176-185, (acceptance rate: 18%, 45/248) 
  105. Han H., Song I-Y., Hu X., Prestrud A., Brennan F., Brooks A., Managing and Mining Clinical Outcomes, in the Proceedings of the 9th International Conference on Database Systems for Advanced Applications (DASFAA 2004), Jeju Island, Korea, March 17-19, 2004, pp 405-416 (acceptance rate: 22%, 60/272)
  106. Hu, X., Han H., Song I-Y.,, Prestrud A.,, Brooks A., Extended Abstract entitled "New Technology Identifies Unsuspected Associations in a Clinical Cancer Database," Society of Surgical Oncology 57th Annual Cancer Symposium, March 18-21, 2004, NY, NY
  107. Hu X., Yoo I., Banerjee P., Document Clustering and Summarization Using Biomedical Ontologies, in Proceedings of the 2004 IEEE ICDM Foundation of Data Mining Workshop
  108. Han J., Cercone N.,Hu X., A Weighted Freshness Metric for Maintaining Search Engine Local Repository, in the Proceedings of the 2004 IEEE/WCI/ACM Joint International Conference on Web Intelligence Conference (WI 2004), Sept. 20-24, 2004, pp 677-680 (short paper) (acceptance rate: 21%)
  109. Song M., Song I-Y., Hu X., An Efficient Keyphrase Extraction System Using Data Mining and Natural Language Processing Techniques, in Proceedings of the 2004 IEEE WI Semantic Web Mining and Reasoning Workshop
  110. Yoo I., Brerner P., Shelfer K., Hu X., Semantic Data Mining for Homeland Security: Architecture and First Steps, in Proceedings of the 2004 IEEE WI Semantic Web Mining and Reasoning Workshop
  111. Lin T.Y., Cercone N., Hu X., Han H., Intelligent Query Answering Based on Neighborhood Systems and Data Mining Techniques. In Proceedings of the 2004 International Databases Engineering and Application Symposium (IEEE IDEAS 2004), pp 91-96, (acceptance rate: 25%, 30/119)
  112. Hu X., Integration of Cluster Ensemble and Text Summarization for Gene Expression Analysis, in Proceedings of the IEEE 2004 Symposium on Bioinformatics and Bioengineering, pp 251-259, May 19-21, 2004, Taiwan (IEEE BIBE 2004)
  113. Song M., Song I-Y., Hu X., Designing and Developing An Automatic Interactive Keyphrase Extraction System with UML, Proceedings of the American Society for Information Science and Technology, Vol. 41, Issue 1, pp 367-372
  114. Hu X., Scalable Learning Method to Extract Biological Relationships from Medline Abstracts,  in the Proceedings of the 2004 IASTED International Conference on Biomedical Engineering, Feb 16-18, 2004, Innsbruck, Austria
  115. Hu X., Yoo, I., Cluster Ensemble and Its Applications in Gene Expression Analysis, in the Proceedings of the 2nd Asia-Pacific Bioinformatics Conference, New Zealand, Jan. 18-22, 2004, pp 297-302
  116. Chen H., Zhou H., Hu X., Yoo, I., Classification Comparison of Prediction of Solvent Accessibility from Protein Sequences, in the Proceedings of the 2nd Asia-Pacific Bioinformatics Conference, New Zealand, Jan. 18-22, 2004, pp 333-338
  117. Hu X., Lin T.Y., Han J., A New Rough Set Model Based on Database Systems in the Proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, pp 114-121, (acceptance rate: 16%, 39/245)
  118. Hu X., Song I-Y., Han H., Yoo I., Prestrud A., Brennan M.F., Brooks A.D., Temporal Rule Induction for Clinical Outcome Analysis, in Proceedings of the IEEE ICDM 2003 Foundation and New Direction in Data Mining Workshop, Nov. 2003, pp 64-73
  119. Hu X., Lechner M., Extracting Biological Relationships from MedLine Abstract, in Proceedings of the IEEE ICDM 2003 Foundation and New Direction in Data Mining Workshop, Nov. 2003, pp 74-80
  120. Song M., Song I-Y.,Hu X., KPSpotter: A Flexible Information Gain-based Keyphrase Extraction System, in the ACM CIKM 5th Workshop on Web Information and Data Management (WIDM 03), New Orleans, LA, Nov. 3-8, 2003, pp 50-53
  121. Han J., Hu X., Cercone, N., On Graph-Based Methods for Inferring Web Communities, in the Proceedings of the 2003 IEEE/WIC Workshop on Applications, Products and Services of Web-based Support Systems, October 13, 2003, Halifax, Canada
  122. Han J., Hu X., Lin T.Y., An Efficient Algorithm for Computing Core Attributes in Database Systems, in the Proceedings of the ISMIS 2003, Oct. 2003, Japan, pp 663-667
  123. Hu X., Han J., Cercone N., Discovering of Cyber Communities from the WWW, in the Proceedings of IEEE COMPSAC 2003, Dallas, TX, Nov. 3-6, 2003, pp 590-594
  124. Han J., Hu X., Lin T.Y., A New Computation Model for Rough Set Theory Based on Database Systems, in the Proceedings of 5th International Conference on Data Warehousing and Knowledge Discovery (DaWak 2003), pp 381-390, Prague, Czech Republic, September 2003, Lecture Notes in Computer Science 2737, Yahiko Kambayashi, Mukesh Mohania, Wolfram Wob (Eds)., Springer, (acceptance rate: 32%, 41/130)
  125. Hu X., Han H., Discovering of Local Clusters from Large Scale-free Network Graph, in ACM SIGKDD 2003 2nd Workshop on Fractals, Power Laws and Other Next Generation Data Mining Tools, August 24-27, 2003
  126. Hu, X., Lin T.Y., Louie E., Bitmap Techniques for Optimizing Decision Support Queries and Association Rule Algorithms in the Proceedings of the 2003 International Databases Engineering and Application Symposium (IEEE IDEAS 2003), Hong Kong, July 17-23, 2003, pp 34-43 (acceptance rate: 28%)
  127. Lin T.Y., Hu X., Louie E., A Fast Association Rule Algorithms Based on Bitmap and Granular Computing in the Proceedings of the 2003 IEEE International Conference on Fuzzy Systems, pp 678-683
  128. Lin T.Y., Hu X., Louie E., Using Attribute Value Lattice to Find Closed Frequent Itemsets in the Proceedings of the 2003 SPIE International Conference on Data Mining and Knowledge Discovery Tools, Methods and Techniques, April 21-23, Orlando, USA
  129. Han J., Hu X., Cercone N., Interactive Visual KDD: Model and Implementation in the Proceedings of Foundation of Data Mining Workshop at the IEEE 2002 International Conference in Data Mining
  130. Hu X., Comparison of Classification Methods of Attrition Analysis in the 3rd International Conference on Rough Sets and Current Trends in Computing (RSCTC2002), pp 487-492
  131. Hu X., Cercone N., An OLAM Framework for Web Usage Mining and Business Intelligence Reporting, in the Proceedings of the 2002 IEEE International Conference on Fuzzy System in the World Congress on Computational Intelligence, Honolulu, Hawaii, May 12-17, 2002, pp 950-955
  132. Hu X., Using Rough Set Theory and Database Operations to Construct a Good Ensemble of Classifier for Data Mining Application, in the Proceedings of the IEEE 2001 International conference in Data Mining (IEEE ICDM 2001), 233-240, Nov 29-Dec 2, 2001, San Jose, CA 2001, pp 233-240, (acceptance rate: 19.7%, 72/365)
  133. Han, J., Hu, X., Cercone, N., Supervised Learning: A Generalized Rough Set Approach, in the Proceedings of the 2nd International Conf. on Rough Sets and Current Trend in Computing, 284-291, Banff, Canada, 2000
  134. Hu X., Cercone N., Learning Maximal Generalized Decision Rules via Generalization, Discretization and Rough Set Feature Selection, in the Proceedings of the 9th IEEE International Conference of Tools on Artificial Intelligence, pp 548-556, Newport Beach, CA, USA, Nov. 1-7, 1997 (nominated for the Best Paper Award) (5 papers nominated for best paper award from 108 submissions).
  135. Hu X., Cercone N., Ziarko W., GRS: A Generalized Rough Sets Model for Data Mining Application in the Proceedings of the 3rd Joint Conference of Information Sciences, Vol. 3, Durham, NC, USA, Match 1-3, 1997
  136. Hu X., Cercone N., Mining Knowledge Rules from Databases: An Attribute-Oriented Rough Set Approach,  in the Proceedings of 12th IEEE International Conf. on Data Engineering, (ICDE96), New Orleans, LA, USA , Feb 27-March 1, 1996, pp 96-105 (acceptance rate: 22% , 60/264)
  137. Hu X., Cercone N., Rough Sets Similarity-Based Learning From Databases, in the Proceedings of the 1st International Conference on Knowledge Discovery and Data Mining, Montreal (KDD 95), Canada, August 1995, pp 162-167
  138. Shan N., Hu X., A Decision Matrix Approach to Construct Multiple Knowledge Bases, in the Proceedings of the 8th International Conference on Industrial & Engineering Application of AI & Expert System. Pp 517-524, Melbourne, Australia, June, 1995 (nominated for the Best Paper Award)
  139. Hu X., Cercone N., Discovery of Decision Rules from Databases: A Rough Set Approach, in the Proceedings of the ACM 1st Third International Conference on Information and Knowledge Management (ACM CIKM'94), 392-400, Gaithersburg, Maryland, USA, Nov., 1994, pp 392-340
  140. Shan N., Hu X., Ziarko W., Cercone N., A Generalzsed Rough Set Model, in the Proceedings of the Third Pacific Rim International Conference on AI, Beijing, China, August 1994, pp 437-443
  141. Hu X., Cercone N., Xie J., Learning Data Trend Regularities From Databases in A Dynamic Environment, in the Proceedings of the AAAI Knowledge Discovery in Databases Workshop, pp 323-334, Seattle, USA, August 1994 (acceptance rate: 35%, 23/66)
  142. Hu X., Cercone N., Han J., A Concept-based Knowledge Discovery Approach in Databases, in the Proceedings of the 10th Canadian Artificial Intelligence Conference, pp 47-62, Banff, Alberta, Canada, May 1994
  143. Hu X., Shan N., Multiple Knowledge Bases and Rough Set, in the Proceedings of the 7th Florida Research Symposium on AI, Pensacola Beach, FL, USA, pp 255-258, May, 1994
  144. Hu X., Cercone N., Han J., An Attribute-Oriented Rough Set Approach for Knowledge Discovery in Databases, in the Proceedings of the Third International Workshop on Rough Sets and Knowledge Discovery (RSKD93), pp 79-94, Banff, Canada, Oct., 1993
  145. Hu X., Cercone N., Han J., Discovery of Knowledge Associated With Conceptual Hierarchies in Databases, in the Proceedings of the Third International Conference for Young Computer Scientists, 2.106-2.109, Beijing, China, Aug., 1993