2017

 

1.      Mengwen Liu Ding,  Hoon Park,  Hu:Which used product is more sellable? A time-aware approach. Inf. Retr. Journal20(2)81-108 ()

2.      Mengwen Liu Hu:
Product review summarization through question retrieval and diversification. 
Inf. Retr. Journal 20(6)575-605 ()

3.      Yong Zhang Hu Jiang:Multi-View Clustering of Microbiome Samples by Robust Similarity Network Fusion and Spectral Clustering. IEEE/ACM Trans. Comput. Biology Bioinform. 14(2)264-271 ()

4.      Xingpeng Jiang Hu Data Representation by Joint Nonnegative Matrix Factorization with Laplacia Regularization. IEEE/ACM Trans. Comput. Biology Bioinform. 14(2)353-359()

  1. Zheng Chen Hu:
    Community-Based Network Alignment for Large Attributed Network. CIKM 587-596

6.      Yuan Ling A. Hasan,  Hu: Integrating extra knowledge into word embedding models for biomedical NLP tasks. IJCNN 968-975

7.      JianLiang Gao, Bo Song, Wanyign Ding, Weimao Ke, Xiaohua Hu: Counter Deanonymization Query: H-index Based K-Anonymization Privacy Protection for Social Networks, SIGIR 2017;  pp809-812

8.      Yizhou Zang, Xiaohua Hu: LKT-FM: A Novel Rating Pattern Transfer Model for Improving Non-Overlapping Cross-Domain Collaborative Filtering, PKDD 2017

9.      Xinli Yu, Zheng Chen, Jianliang Gao, Bo Song, Wei-Shih Yang, Bo Ji, Xiaohua Hu, and Erjia Yan, Guangrong Li, Large-Scale Joint Topic, Sentiment & User Preference Analysis for Online Reviews, IEEE Big Data 2017

10.  Zheng Chen, Xinli Yu, Chi Zhang, Jin Zhang, Cui Lin, Xiaohua Hu, Erjia Yan, and Wei-Shih Yang, Fast Botnet Detection From Streaming Logs Using Online Lanczos Method, IEEE Big Data 2017

 

2016

 

1.      Yan, R., Li C., Heish H., Hu P.  Hu Xiaohua, He T.. Socialized Language Model Smoothing via Bi-Directional Influence Propogation on Social Network, WWW 2016, Montreal, Canada,  April 10-14, 2016  (full paper, acceptance rate : 16%)

2.      Gao. J., Song B., Lin P., Ke W. Wang J., Hu Xiaohua, Parallel Top K Subgraph Query in Massive Graphs: Computing from the Perspective of Single Vertex, IEEE Big Data 2016 (Regular paper, acceptance rate: 19%)

3.      Sogn X., Hu Xiaohua, Pairwise Topic Model and its Applications to Topic Transition and Evolution,  IEEE Big Data 2016 (Regular paper, acceptance rate: 19%)

4.      Liu M., Fang Y., park D., Hu Xiaohua, Yu Z., Retrieving Non-Redundant Questions to Summarize a Product Review, SIGIR 2016, Pisa, Italy, July 17-21, 2016 (full paper, acceptance rate: 18%)

5.      Bo Song, Gao J, Ke W., Hu Xiaohua, Achieving High K-Coverage and K-Consistency in Global Alignment of Multiple PPI Network, IEEE BIBM 2016

6.      Jiang X., Hu Xiaohua, Tingting He, Identification of the clustering structure in microbiome data by density clustering on the Manhattan distance. SCIENCE CHINA Information Sciences 59(7): 070104:1-070104:7 (2016)

7.      Ma Y., Hu X., He T., Jiang X., Multi-View Clustering Micorbiome Data by Joing Symmetric Nonnegative Matrix Factorization with Laplacian Regularization, IEEE BIBM 2016

8.      Zhou G., Zhiyuan Zhu, Tingting He, Hu Xiaohua:Cross-lingual sentiment classification with stacked autoencoders. Knowl. Inf. Syst. 47(1): 27-44 (2016)

9.      Fan Y., Hu X., Tang X., Ping Q., Wu W., A Novel Algorithm for Identifying Essential Proteins by integrating subcellular localization, IEEE BIBM 2016

10.  Zhou G., Zhiwen Xie, Tingting He, Jun Zhao, Hu Xiaohua. Learning the Multilingual Translation Representations for Question Retrieval in Community Question Answering via Non-Negative Matrix Factorization. IEEE/ACM Trans. Audio, Speech & Language Processing 24(7): 1305-1314 (2016)

11.  Fan Y, Jiang X ,  Hu Xiaohua, Bo Song ; Yuan Ling ; Wei Wu, An Efficient Algorithm for Microbiome Sample Visualization Based on UniFrac Distance and Laplace Matrix, IEEE Transactions on NanoBioscience, Issue 4, June 2016, Pages 390-396

12.  Zhang Y ; Xiaohua Hu ; Xingpeng Jiang, Multi-view Clustering of Microbiome Samples by Robust Similarity Network Fusion and Spectral Clustering, IEEE/ACM Trans. Comput. Biology Bioinform. 12(2)

13.  Yan R., Cheng-Te Li, Hu Xiaohua, Ming Zhang:Chinese Couplet Generation with Neural Network Structures. ACL (1) 2016

14.  Ezgi Can Ozan, , , Hu, Self-organizing binary encoding for Approximate Nearest Neighbor search. EUSIPCO : 1103-1107

 

2015

 

1.      Jiang, X., Xiaohua Hu, W. Xu. Microbiome Data Representation by Joint Nonnegative Matrix Factorization with Laplacian Regularization, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Under minor revision.

2.      Rui Yan, Ian E.H. Yen, Cheng-Te Li, Shiqi Zhao, Xiaohua Hu, Tackling the Achilles Heel of Social Networks: Influence Propagation based Language Model Smoothing, WWW 2015, Florence 18-22, May 2015

3.      Anton Slutsky,  Xiaohua Hu, Yuan An, Learning Focused Hierarchical Topic Models with Semi-Supervision in Microblogs, PAKDD 2015

4.      Wanying Ding, Yue Shang, Lifan Guo, Xiaohua Hu, Rui Yan, Tingting He. Video Popularity Prediction by Sentiment Propagation via Implicit Network,  regular paper, CIKM 2015

5.      Rui Yan, , , Hu, Tackling Sparsity, the Achilles Heel of Social Networks: Language Model Smoothing via Social Regularization. ACL (2) : 623-629

6.      Yue Shang, Wanying Ding, Haohong Wang, Lifan Guo, Mengwen Liu, Xiaoli Song, Xiaohua Hu, Yuan An. Scalable User Intent Mining using a Multimodal Restricted Boltzmann Machine, International Conference on Computing, Networking and Communications(ICNC 2015), Anaheim, California, USA, 2015

7.      Rui Yan, Song, , , Hu, Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model. IJCAI : 1025-1032

8.      Wanying Ding, Xiaoli Song, Yue Shang, Junhuan Zhu, Lifan Guo, Xiaohua HuSimilarity Dependency Dirichlet Process for Aspect-Based Sentiment AnalysisMLRec 2015

 

2014

 

1.      Xinpeng Jiang, Xiaohua Hu, Weiwei Xu, E.K. Park, Predicting Microbial Interactions using Vector Autoregressive Model with Graph Regularization, in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014,

2.      Jumin Zhao, Xiaohua Hu, Tingting He, Peng Li, Ming Zhang, Xianjun Shen, A Novel Protein Complex Identification Algorithm Based on Gene Co-Expression (PCIA-GeCo), in IEEE Transactions on NanoBioscience, 2014

3.      Jiang, X. and Xiaohua Hu (2014). Inferring microbial interaction networks based on consensus similarity network fusion, Science China Life Sciences 57(11): 1115-1120.

4.      Jiang, X., Xiaohua. Hu, W. Xu and T. He (2013). Exploratory analysis of human microbiome by linear and nonlinear methods.  ACM SIGBioinformatics Record 3(1): 10-17.

5.      Xianjun Shen,  Yanli Zhao Tingting He, Jincai Yang, Xiaohua Hu, An Efficient Protein Complex Mining Algorithm Based on Multistage Kernel Extension, BMC Bioinformatics (BMCBI) 15(S-12):S7 (2014)

6.      Yongli Wang, Xiaohua Hu: AOBA: Recognizing Object Behavior in Pervasive Urban Management, in IEEE Transactions on Knowledge and Data Engineering, 26(11):2625-2638 (2014),

7.      Weiwei Xu, Xingpeng Jiang, Xiaohua Hu, Guangrong Li, Visualization of genetic disease-phenotype similarities by multiple maps t-SNE with Laplacian regularization, BMC Medical Genomics 2014

8.      Wanying Ding, Junhuan Zhu, Lifan Guo, Xiaohua Hu, Jiebo Luo, Haohong Wang, Jointly Image Topic and Emotion Detection using Multi-Modal Hierarchical Latent Dirichlet AllocationJournal of Multimedia Information Systems. VOL. 1, NO. 1, September 2014, pp. 55-67

9.      Mengwen Liu, Yuan Ling, Yuan An, Xiaohua Hu, Yagoda, A. & Misra, R. Relation extraction from biomedical literature with minimal supervision and grouping strategy. Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on, 444-449.

10.  Yizhou Zang, Yuan An, Xiaohua Hu, Automatically recommending healthy living programs to patients with chronic diseases through hybrid content-based and collaborative filtering, IEEE BIBM 2014, 578-582

11.  Haozhen Zhao, Xiahua Hu (2014). Drexel at TREC 2014 Federated Web Search Track. In Proceedings of TREC 2014.

12.  Jia Huang, Hao Ding, Xiaohua Hu, Yong Liu: A Two-level Approach for Subtitle Alignment. ECIR 2014: 468-473

13.  Anton Slutsky, Xiaohua Hu, Yuan An. Hash-based Stream LDA: Topic Modeling in Social Streams. In PAKDD 2014. Taiwan.

14.  Zunyan Xiong, Yizhou Zang, Xingpeng Jiang, Xiaohua Hu, Document Clustering with an Augmented Nonnegative Matrix Factorization Model, PAKDD 2014

 

 

2013

 

1.      Jiang, X., Xiaohua Hu, W. Xu, T. He and E. K. Park (2013). Comparison of dimensional reduction methods for detecting and visualizing novel patterns in human and marine microbiome. IEEE Transactions on NanoBioscience, 12(3): 199-205.

  1. Yongli Wang, Xiaohua Hu: Fuzzy Reasoning of Accident Provenance in Pervasive Healthcare Monitoring Systems. IEEE J. Biomedical and Health Informatics 17(6): 1015-1022 (2013)
  2. Liu L, An Y, Chen M, Liu Z, Xiaohua Hu, Chou E, Eisen HJ. Trends in the Prevalence of Hospitalization Attributable to Hypertensive Diseases Among United States Adults Aged 35 and Older from 1980 to 2007. Am J Cardiol. 2013 May 28.
  3. Zhong Huang,  Xiaohua Hu: Disease Named Entity Recognition by Machine Learning Using Semantic Type of Metathesaurus. International Journal of Machine Learning and Computing, 3(6), 2013, 494-498

5.      Wanying Ding, Xiaoli Song, Lifan Guo, Zunyan Xiong, Xiaohua Hu: A Novel Hybrid HDP-LDA Model for Sentiment Analysis. IEEE/ACM/WCI Web Intelligence 2013: 329-336

6.      Yuan Ling, Yuan An, Mengwen Liu, Xiaohua Hu, An Error Detecting and Tagging Framework for Reducing Data Entry Errors in Electronic Medical Records (EMR) System. In IEEE BIBM 2013. Shanghai, China. Dec. 18-21, 2013 (Best Student Paper)

7.      Mengwen Liu, Yuan An, Xiaohua Hu, Debra Langer, Craig Newschaffer, and Lindsay Shea. An Evaluation of Identification of Suspected Autism Spectrum Disorder (ASD) Cases in Early Intervention (EI) Records. In IEEE BIBM 2013. Shanghai, China. Dec. 18-21, 2013

8.      Yue Shang, Yuan An, Xiaohua Hu, Mi Zhang, and Xia Lin. Enhancing Entity Annotation using Web Service and Ontology Hierarchy in Biomedical Domains. In IEEE BIBM 2013

9.      Lifan Guo, Xiaohua Hu: Identifying Authoritative and Reliable Contents in Community Question Answering with Domain Knowledge. PAKDD Workshops 2013: 133-142

10.  Anton Slutsky, Xiaohua Hu, Yuan An: Tree Labeled LDA: A Hierarchical model for web summaries. BigData Conference 2013: 134-140

 

 

2012

 

 

  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, 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
  4. Khare R., An Y., Li J., Song I-Y and Hu X., Exploiting Semantic Structure for Mapping User-specified Form Terms to SNOMED CT,  in ACM IHI 2012 (regular paper)
  5. 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,  in ACM IHI 2012 (short paper)
  6. Hu Q., Huang J., Hu X., A Factor Analysis Based Approach for Genomics Information Retrieval, accepted to be published in BMC Bioinformatics, 2012
  7. 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
  8. Liu J., Li Z., Hu X., Chen Y., Multi-objective Dynamic Population Shuffled Frog-leaping Biclustering of Microarray Data, BMC Genomics, 2012
  9. 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)
  10. 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%)
  11. Li F., He T., Hu X., Incorporating Word Correlation into Tag-Topic Model for Semantic Knowledge Acquisition, in ACM CIKM 2012 (short paper)
  12. Wang J., Hu X., Tu X., He T., Author-Conference Topic-Connection Model for Academic Network Search, in ACM CIKM 2012 (short Paper)
  13. 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%)
  14. 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)
  15. An Y., Khare R., Hu X., Song I-Y., Bridging Encounter Forms and Electronic Medical Record Databases Annotation, in IEEE BIBM 2012 (short Paper)
  16. 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)

 

 

2011

1.       Li Y., Hu X., Lin H., Yang Z. , A Framework for Semi-supervised Feature Generation and its Applications in Biomedical Literature Mining,  IEEE/ACM Transactions on Computational Biology and Bioinformatics, March-April 2011, pp294-307

2.       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%)

3.       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

4.       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

5.       Lu C, Hu X, Park J-R, Huang J.: Post-based collaborative filtering for personalized tag recommendation. iConference 2011: 561-568

6.       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

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

8.       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: 20%,58/299)

9.       Liu J., Li Z., Hu X., Chen Y., Park E., Dynamics Biclustering of Microarray Data by Multi-Objective Immune Optimization, accepted to be published in BMC Genomics, 2011

10.   Yin S., Li. Z., Huanf X., Hu X.,  A relevance-novelty combined model for genomics search result diversification, accepted to be published in BMC Bioinformatics, 2011

11.   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)

12.   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)

13.   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.

14.   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)

15.   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.

16.   Tianyu Cao, Xindong Wu, Hu X., Song Wang: Active Learning of Model Parameters for Influence Maximization. ECML/PKDD (1) 2011: 280-295

 

 

2010

1.       Lu C. Hu X. Chen X., 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%)

2.       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

3.       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%)

4.       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)

5.       Achanauparkp, P., Hu X, He T., Answer Diversification for Complex Question Answering on the Web, accepted in the PAKDD-10 (acceptance rate: 23.3%, 96/412)

6.       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, accepted in the 2010 ACM International Health Informatics Symposium (ACM IHI 2010 conference)

7.       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%)

8.       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)

9.       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 Genomic

10.   Li Y., Hu X., Lin H., Yang Z., Learning an Enriched Representation from Unlabeled Data for Protein-Protein Interaction Extraction , BMC Bioinformatics, 11(Suppl 2):S7

11.   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).

12.   An Y., Hu X., Song I-Y, Maintaining Mappings between Conceptual Models and Relational Schemas,  Journal of Database Management (in press)

13.   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

14.   Hu X., Zhang X., Yoo I., Wang X., Feng J.., Mining Hidden Connections among Biomedical Concepts from Disjoint Biomedical Literature Sets through Semantic-based Association Rule,  International Journal of Intelligent  System, 25(2): 207-223 (2010)

15.   Lu C., Park J-R, Hu X., Song I-Y, Metadata Effectiveness: A Comparison between User-Created Social Tags and Author-Provided Metadata, 2010 Hawaii International Conference on System Science

16.   Chen X., Hu X., Shen X., Rosen G., Probabilistic Topic Modeling for Genomic Data Interpretation, 2010 IEEE International Conference on Bioinformatics and Biomedicine

17.   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

18.   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

 

 

2009

1.       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

2.       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

3.       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

4.       Wu D., Hu X. Hu T.,, Exploratory Analysis of Protein Translation Regulatory Networks Using Hierarchical Random Graphs, in the 2009 IEEE International Conference on Bioinformatics and Biomedicine, (acceptance rate: 18.8%, 44/233)

5.       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

6.       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 (sort paper, acceptance rate: 16%, 33/233)

7.       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)

8.       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

9.       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,

10.   Chen X., Hu X., Shen X., Spatial Weighting for Bag-of-Visual-Words Representation and Its Application in Content-Based Image Retrieval,  in the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009)

11.   Achanauparkp, P., Hu X., Yang C., Addressing the Variability of Natural Language Expression in Sentence Similarity with Semantic Structure of the Sentences,  in the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009)

12.   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)

13.   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

14.   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)

15.   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)

16.   Liu J., Li Z., Hu X., Chen Y., Biclustering of Microarray Data with Multi-Objective Particle Swarm Optimization based on Crowding Distance, BMC Bioinformatics 10(S-4): (2009)

 

 

2008

1.  Tang Y.C., Zhang Y-Q,  Huang Z., Hu X.,, and Zhao Y. Recursive Fuzzy Granulation for Gene Subsets Extraction and Cancer Classification,  IEEE Transactions on Information Technology in Biomedicine , Vol 12, No 6., Nov. 2008, pp 723-730

2.       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

3.       Wang J.., Hu X., Zhu D., A Comparison and Scenario Analysis of Leading Data Mining Software,  International Journal of Knowledge Management, 2008, Vol 4, No 2, pp17-34

4.       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

5.       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

6.       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)

7.       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),

8.       Zhou X., Zhang X., Hu X., Semantic Smoothing for Bayesian Text Classification with Small Training Data, SIAM SDM 08

9.      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

10.  Palakorn Achananuparp, Xiaohua Hu, Xiaohua Zhou, Xiaodan Zhang: Utilizing Semantic, Syntactic, and Question Category Information for Automated Digital Reference Services. ICADL 2008: 203-214

11.  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

12.  Achananuparp P., Hu X, Shen X., The Evaluation of Sentence Similarity Measures. DaWaK 2008: 305-316

13.   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

14.   Wang J. Hu X., Zhou, Applications of Data Mining in the Healthcare Industry, Encyclopedia of Healthcare Information Systems, Idea Group 2008

15.   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

16.   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

17.   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,

18.   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)

19.   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)

20.   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)

 

2007

  1. Hu X., Wu D., Data Mining and Predictive Modeling of Biomolecular Network from Biomedical Literature Databases, to  in IEEE/ACM Transactions on Computational Biology and Bioinformatics, (April-June  2007), p251-263
  2. 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 (Dec., 2007) pp1219-1229
  3. Zhou X., Hu X., Zhang X., Topic Signature Language Models for Ad-hoc Retrieval,  in the IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Sept 2007, pp 276-287
  4. 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)
  5. 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
  6. Hu X., Wu FX., Mining and state-space based modeling and verification of sub-networks from large biomolecular networks, BMC Bioinformatics 2007, 8:324
  7. Du A., Hu X., Pan Y., Prediction of the disulfide bridges using SVM,  in the International Journal of Bioinformatics Research and Application, 3(2): 223-233 (2007)
  8. Yoo I., Hu X., Song I-Y, Biomedical Ontology Improves Biomedical Literature Clustering Performance: A Comparison Study,  in the special issues of 19th IEEE CBMS 2006  in the International Journal of Bioinformatics Research and Application, 3(3): 414-428 (2007)
  9. Wang J., Hu X., Zhu D., Diminishing Downsides of Data Mining, in the International Journal of Business Intelligence and Data Mining, 2007, 2(2): 177-196 (2007)
  10. Song M, Song I-Y, Hu X., Allen B., Integration of Association Rules and Ontology for Semantic Query Expansion,  in the Journal of  Data and Knowledge Engineering (DKE), Vol 63, Issue 1 (October, 2007), Pp 63-75
  11. 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 
  12. Wang J., Hu X., Zhou D., Data Mining in Public Administration, Handbook of Research on Public Information Technology, Idea Group Inc 2007
  13. 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
  14. 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
  15. Zhou X., Hu X., Zhang X., A Segment-based Hidden Markov Model for Real-Setting Pinyin-to-Chinese Conversion,  in the Proceedings of the ACM CIKM 2007 (acceptance rate: 26%, 512 submission), 1027-1030
  16. Zhou X., Zhang X., Hu X., Semantic Smoothing of Document Models for Agglomerative Clustering,  in the Proceeding of the Twentieth International Joint Conference on Artificial Intelligence(IJCAI 07), Hyderabad, India, Jan 6-12, 2007 (acceptance rate: 15.7%, 212/1353), 2928-2933
  17. Zhang X.,  Jing L., Hu X., Ng M., Zhou X., A Comprehensive Study of Ontology Based Term Similarity Measures on Document Clustering,  in the Proceeding of the  12th International conference on Database Systems for Advanced Applications (DASFFA2007) (acceptance rate: 18.7%, 70/373)
  18. Zhang X., Hu X., Xia J., Zhou X., Achanauparp P. Utilization of Global Ranking Information in Graph- based Biomedical LiteratureClustering, in the  Proceeding of the 9th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2007) (acceptance rate: 30%, 45/150), 313-322
  19. Huang Z.,  Xu X., Hu X., Prediction Of Human Mitochondrial Proteins Using SVM And Neural Network,  in the Proceeding of the 2007 Asia-Pacific Bioinformatics Conference, poster paper, Jan 15-17, 2007, Hongkong
  20. Xu X., Zhang X., Hu X., Using Two-stage Concept-based Singular Value Decomposition Techniques as a Query Expansion Strategy,  in the Proceeding of the  2007  IEEE International Symposium on Data Mining and Information Retrieval  , 295-300
  21. Wen J., Li Z., Zhang L., Hu X., Chen W., A New Method of Cluster-based Topic Language Model for Genomic IR,  in the Proceeding of the 2007  IEEE International Symposium on Data Mining and Information Retrieval , 301-306
  22. Zhou X., Zhang X., Hu X., Dragon Toolkit: Incorporating Auto-learned Semantic Knowledge into Large-Scale Text Retrieval and Mining,  in the Proceeding of the 2007 IEEE International Conference on Tools on AI (IEEE ICTAI 2007, short paper, acceptance rate: 16%) , 197-201
  23. 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,  in the Proceeding of the 2007 IEEE International Conference on Granular Computing, 175-179
  24. Chen Wu, Hu X, Xiajiong Shen, Xiaodan Zhang, Yi Pan, An Incremental Algorithm for Mining Default Definite Decision Rules from Incomplete Decision Tables, in the Proceeding of the  2007 IEEE International Conference on Granular Computing, 169-174

 

 

2006

  1. 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
  2. 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)
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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, Dec., 2006
  8. 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
  9. 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
  10. 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)
  11. 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)
  12. 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)
  13. 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%)
  14. 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)
  15. 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)
  16. 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)
  17. 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)
  18. 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)
  19. 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)
  20. 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 )
  21. 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)
  22. 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)
  23. 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)
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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),
  29. 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)
  30. 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)
  31. 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
  32. 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)
  33. 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

 

 

2005

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  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. 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)
  15. 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)
  16. 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)
  17. 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
  18. 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
  19. 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)
  20. 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)
  21. 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%)
  22. 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)
  23. 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
  24. 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)
  25. 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)
  26. 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
  27. 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
  28. 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
  29. 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)

 

 

2004

  1. 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
  2. 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)
  3. 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
  4. 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
  5. 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
  6. 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)
  7. 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) 
  8. 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)
  9. 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
  10. 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
  11. 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%)
  12. 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
  13. 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
  14. 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)
  15. 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)
  16. 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
  17. 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
  18. 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
  19. 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

 

2003

  1. 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
  2. Hu X., DBHReduction: A Preprocessing Algorithm for Data Mining Application, Applied Mathematics Letters, Vol. 16, Issue 6, pp 889-895, 2003
  3. Hu X., Data Mining and Uncertain Reasoning: An Integrated Approach (Book Review) in Information Visualization, 2003, 2, 78-79
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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)
  11. 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
  12. 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%)
  13. 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
  14. 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

 

 

2002

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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

 

 

Before 2002

  1. 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
  2. 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
  3. Hu X., Cercone N., Learning in Relational Databases: A Rough Set Approach, Computational Intelligence: An International Journal, 11(2), pp 323-338, 1995
  4. Hu X., Cercone N., Shan N., A Rough Set Approach to Compute All Maximal Generalized Rules, Journal of Computing & Information, 1(1), 1995
  5. Hu X., Object Aggregation and Cluster Identification: A Knowledge Discovery Approach, Applied Math. Letter, 7(4), 1994, pp 29-34
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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)
  12. 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)
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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).
  20. 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
  21. 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)
  22. 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
  23. 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)
  24. 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
  25. 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
  26. 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
  27. 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