Publications in Chronological Order

2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 and Before ... List of Publications from the DBLP Bibliography

2012

Rapid and robust resampling-based multiple testing correction with application in genome-wide eQTL study, by Xiang Zhang, Shunping Huang, Wei Sun, and Wei Wang. Genetics, 2012. Genome-wide association mapping of loci for antipsychotic-induced extrapyramidal symptoms in mice, by James J Crowley, Yunjung Kim, Jin Peng Szatkiewicz, Amanda L Pratt, Corey R Quackenbush, Daniel E Adkins, Edwin van den Oord, Molly A Bogue, Hyuna Yang, Wei Wang, David W Threadgill, Fernando Pardo-Manuel de Villena, Howard L McLeod, and Patrick F Sullivan. Mammalian Genome, 2012. Dual transfer learning, by Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, and Wei Wang. Proceedings of the 12th SIAM International Conference on Data Mining (SDM), 2012. seeQTL: a searchable database for human eQTLs, by Kai Xia, Andrey A Shabalin, Shunping Huang, Vered Madar, Yi-Hui Zhou, Wei Wang, Fei Zou, Wei Sun, Patrick F Sullivan, Fred A Wright. Bioinformatics, vol. 28, no. 3, pp. 451-452, 2012. The genome architecture of the Collaborative Cross mouse genetic reference population, by Collaborative Cross Consortium, Genetics, vol. 190, no. 2, pp. 389-401, 2012. HTreeQA: using semi-perfect phylogeny trees in quantitative trait loci study on genotype data, by Zhaojun Zhang, Xiang Zhang, and Wei Wang. G3: Genes, Genomes, Genetics, vol. 2, no. 2, pp. 175-189, 2012. Mining genome-wide genetic markers, by Xiang Zhang, Shunping Huang, Zhaojun Zhang, and Wei Wang, Translational Bioinformatics, Chapman & Hall/CRC Press, 2012.

2011

Measuring opinion relevance in latent topic space, by Wei Cheng, Xiaochuan Ni, Jian-Tao Sun, Xiaoming Jin, Hye-Chung Kum, Xiang Zhang, and Wei Wang, Proceedings of the IEEE International Conference on Social Computing (SocialCom), pp. 323-330, 2011. Classification of mouse sperm motility patterns using an automated multiclass support vector machines mode, by Summer G Goodson, Zhaojun Zhang, James K Tsuruta, Wei Wang, and Deborah A O'Brien. Biology of Reproduction, vol. 84, no. 6, pp. 1207-1215, 2011. Clustering with relative constraints, by Eric Yi Liu, Zhaojun Zhang, and Wei Wang, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 947-955, 2011. Genetic analysis of complex traits in the emerging collaborative cross, by Aylor DL, Valdar W, Foulds-Mathes W, Buus RJ, Verdugo RA, Baric RS, Ferris MT, Frelinger JA, Heise M, Frieman MB, Gralinski LE, Bell TA, Didion JD, Hua K, Nehrenberg DL, Powell CL, Steigerwalt J, Xie Y, Kelada SN, Collins FS, Yang IV, Schwartz DA, Branstetter LA, Chesler EJ, Miller DR, Spence J, Liu EY, McMillan L, Sarkar A, Wang J, Wang W, Zhang Q, Broman KW, Korstanje R, Durrant C, Mott R, Iraqi FA, Pomp D, Threadgill D, Pardo-Manuel de Villena F, Churchill GA. Genome Research, vol. 21, pp. 1213-122, 2011. LTS: Discriminative subgraph mining by learning from search history, by Ning Jin and Wei Wang, Proceedings of the 27th IEEE International Conference on Data Engineering (ICDE), pp. 207-218, 2011. Tools for efficient epistasis detection in genome-wide association study, by Xiang Zhang, Shunping Huang, Fei Zou, and Wei Wang. Source Code for Biology and Medicine, vol. 6, no. 1, pp. 1-3, 2011.

2010

Genome-wide compatible SNP intervals and their properties, by Wang, Jeremy, Fernando Pardo-Manuel de Villena, Wei Wang, and Leonard McMillan, Proceedings of the ACM International Conference on Bioinformatics and Computational Biology (ACMBCB), pp. 43-52, 2010. Gene set analysis using principal components, by Pakatci, Isa, Wei Wang, and Leonard McMillan, Proceedings of the ACM International Conference on Bioinformatics and Computational Biology (ACMBCB), pp. 330-333, 2010. Efficient genome ancestry inference in complex pedigrees with inbreeding, by Eric Yi Liu, Qi Zhang, Leonard McMillan, Fernando Pardo-Manuel de Villena, and Wei Wang, Proceedings of the 18th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Special Issue of Bioinformatics, vol. 26, no. 12, pp. 199-207, 2010. TEAM: Efficient two-locus epistasis tests in human genome-wide association study, by Xiang Zhang, Shunping Huang, Fei Zou, and Wei Wang, Proceedings of the 18th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Special Issue of Bioinformatics, vol. 26, no. 12, pp. 217-227, 2010. GAIA: Graph classification using evolutionary computation, by Ning Jin, Calvin Young, and Wei Wang. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 879-890, 2010. COE: a general approach for efficient genome-wide two-locus epistasis test in disease association study, by Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, and Wei Wang. Journal of Computational Biology (JCB), vol. 17, no. 3, pp. 401-415, 2010.

2009

Efficient algorithms for genome-wide association study, by Xiang Zhang, Fei Zou, and Wei Wang. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 3, issue 4, no. 19, 2009. Graph classification based on pattern co-occurrence, by Ning Jin, Calvin Young, and Wei Wang. Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM), pp. 573-582, 2009. Split-order distance for clustering and classification hierarchies, by Qi Zhang, Eric Yi Liu, Abhishek Sarkar, and Wei Wang. Proceedings of the 21st International Conference on Scientific and Statistical Database Management (SSDBM), pp. 517-534, 2009. COE: a general approach for efficient genome-wide two-locus epistasis test in disease association study, by Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, and Wei Wang. Proceedings of the 13th Annual International Conference on Research in Computational Molecular Biology (RECOMB), pp. 253-269, 2009. TreeQA: quantitative genome wide association mapping using local perfect phylogeny trees, by Feng Pan, Leonard McMillan, Fernando Pardo-Manuel de Villena, David Threadgill and Wei Wang. Proceedings of the 14th Pacific Symposium on Biocomputing (PSB), pp. 415-426, 2009. Inferring genome-wide mosaic structure, by Qi Zhang, Wei Wang, Leonard McMillan, Fernando Pardo-Manuel de Villena, and David Threadgill. Proceedings of the 14th Pacific Symposium on Biocomputing (PSB), pp. 150-161, 2009. FastChi: an efficient algorithm for analyzing gene-gene interactions, by Xiang Zhang, Fei Zou, and Wei Wang. Proceedings of the 14th Pacific Symposium on Biocomputing (PSB), pp. 528-539, 2009.

2008

Quantitative association analysis using tree hierarchies, by Feng Pan, Lynda Yang, Leonard McMillan, Fernando Pardo-Manuel de Villena, David Threadgill and Wei Wang. Proceedings of the 7th IEEE International Conference on Data Mining (ICDM), pp. 971-976, 2008. Functional neighbors: relationships between non-homologous protein families inferred using family-specific fingerprints, by Deepak Bandyopadhyay, Luke Huan, Jinze Liu, Jan Prins, Jack Snoeyink, Wei Wang, and Alexander Tropsha. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2008. REDUS: finding reducible subspaces in high dimensional data, by Xiang Zhang, Feng Pan, and Wei Wang. Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM), pp. 961-970, 2008. Genotype Sequence Segmentation: Handling Constraints and Noise, by Qi Zhang, Wei Wang, Leonard McMillan, Jan Prins, Fernando Pardo-Manuel de Villena, and David Threadgill. Proceedings of the 8th Workshop on Algorithms in Bioinformatics (WABI), pp. 271-283, 2008. Mining non-redundant high order correlations in binary data, by Xiang Zhang, Feng Pan, Wei Wang, and Andrew Nobel. Proceedings of the 34th International Conference on Very Large Data Bases (VLDB), pp. 1178-1188, 2008. FastANOVA: an efficient algorithm for genome-wide association study, by Xiang Zhang, Fei Zou, and Wei Wang. Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 821-829, 2008. (Best Research Paper) CRD: a general framework for fast co-clustering on large datasets utilizing sample-based matrix decomposition, by Feng Pan, Xiang Zhang, and Wei Wang, Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 173-184, 2008. CARE: finding local linear correlations in high dimensional data, by Xiang Zhang, Feng Pan, and Wei Wang, Proceedings of the 24th IEEE International Conference on Data Engineering (ICDE), pp. 130-139, 2008. (Best Student Paper) Mining approximate order preserving clusters in the presence of noise, by Mengsheng Zhang, Wei Wang, and Jinze Liu, Proceedings of the 24th IEEE International Conference on Data Engineering (ICDE), pp. 160-168, 2008. Approximate clustering on distributed data streams, by Qi Zhang, Jinze Liu, and Wei Wang, Proceedings of the 24th IEEE International Conference on Data Engineering (ICDE), pp. 1131-1139, 2008. A general framework for fast co-clustering on large datasets using matrix decomposition, by Feng Pan, Xiang Zhang, and Wei Wang, Proceedings of the 24th IEEE International Conference on Data Engineering (ICDE), pp. 1337-1339, 2008.

2007

The polymorphism architecture of mouse genetic resources elucidated using genome-wide resequencing data: implications for QTL discovery and systems genetics, by Adam Roberts, Fernando Pardo-Manuel de Villena, Wei Wang, Leonard McMillan, and David Threadgill, Mammalian Genome, vol. 18, no. 6, pp. 473-481, 2007. Sample selection for maximal diversity, by Feng Pan, Adam Roberts, Leonard McMillan, Fernando Pardo Manuel de Villena, David Threadgill, and Wei Wang, Proceedings of the 7th IEEE International Conference on Data Mining (ICDM), pp. 262-271, 2007. Incremental subspace clustering over multiple data streams, by Qi Zhang, Jinze Liu, and Wei Wang, Proceedings of the 7th IEEE International Conference on Data Mining (ICDM), pp. 727-732, 2007. Inferring missing genotypes in large SNP panels using fast nearest-neighbor searches over sliding windows, by Adam Roberts, Leonard McMillan, Wei Wang, Joel Parker, Ivan Rusyn, and David Threadgill, Proceedings of the 15th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Bioinformatics, vol. 23, no. 13, pp. i401-i407,2007. An efficient algorithm for mining coherent patterns from heterogeneous Microarrays, by Xiang Zhang and Wei Wang, Proceedings of the 19th International Conference on Scientific and Statistical Database Management (SSDBM), pp. 32, 2007. A fast algorithm for approximate quantiles in high speed data streams, by Qi Zhang and Wei Wang, Proceedings of the 19th International Conference on Scientific and Statistical Database Management (SSDBM), pp. 29, 2007. Mining RNA tertiary motifs with structure graphs, by Xueyi Wang, Jun Huan, Jack Snoeyink, and Wei Wang, Proceedings of the 19th International Conference on Scientific and Statistical Database Management (SSDBM), pp. 31, 2007. Benchmarking the effectiveness of sequential pattern mining methods, by Hye-Chung Kum, J. H. Chang, and Wei Wang, Data and Knowledge Engineering, vol. 60, no. 1, pp. 30-50, 2007. Intelligent sequential pattern mining via alignment --- optimization techniques for very large databases, by Hye-Chung Kum, Joong Hyuk Chang, and Wei Wang, Proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 587-597, 2007. On demand phenotype ranking through subspace clustering, by Xiang Zhang, Wei Wang, and Jun Huan, Proceedings of the 7th SIAM Conference on Data Mining (SDM), 2007. Poclustering: lossless clustering of dissimilarity data, by Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, and Jan Prins, Proceedings of the 7th SIAM Conference on Data Mining (SDM), 2007. Graph database indexing using structured graph decomposition, by David Williams, Jun Huan, and Wei Wang, Proceedings of the 23rd IEEE International Conference on Data Engineering (ICDE), pp. 976-985, 2007. Accelerating profile queries in elevation maps, by Feng Pan, Wei Wang, and Leonard McMillan, Proceedings of the 23rd IEEE International Conference on Data Engineering (ICDE), pp. 76-85, 2007.

2006

Protein local structure comparison: methods and future directions, by Jun Huan, Wei Wang, and Jan Prins, Advances in Computers by Chau-Wen Tseng (eds.), Elsevier, 2006. (in press) Models for sequential pattern mining, by Hye-Chung Kum, Susan Paulsen, and Wei Wang, A Book on FDM --- Lecture Notes in Computer Science, Springer-Verlag, 2006. (in press) Structure-based function inference using protein family-specific fingerprints, by Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan Prins, Jack Snoeyink, Wei Wang, and Alexander Tropsha. Protein Science, vol. 15, pp. 1537-1543, 2006. Sequential pattern mining in multi-databases via multiple alignment, by Hye-Chung Kum, Joong-Hyuk Chang, and Wei Wang, Data Mining and Knowledge Discovery (DMKD), vol. 12, no. 2-3, pp. 151-180, 2006. Mining coherent patterns from heterogeneous microarray data, by Xiang Zhang, and Wei Wang, Proceedings of the 15th ACM Conference on Information and Knowledge Management (CIKM), pp. 838-839, 2006. Clustering pair-wise dissimilarity data into partially ordered sets, by Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, and Jan Prins, Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 637-642, 2006. Distance-based identification of spatial motifs in proteins using constrained frequent subgraph mining, by Jun Huan, Deepak Bandyopadhyay, Jan Prins, Jack Snoeyink, Alexander Tropsha, and Wei Wang, Proceedings of the LSS Computational Systems Bioinformatics Conference (CSB), pp. 227-238, 2006. A fast approximation to multidimensional scaling, by Tynia Yang, Jinze Liu, Leonard McMillan, and Wei Wang, Proceedings of the ECCV Workshop on Computation Intensive Methods for Computer Vision (CIMCV), 2006. Mining Approximate frequent itemset in the presence of noise: algorithm and analysis, by Jinze Liu, Susan Paulsen, Xing Xu, Wei Wang, Andrew Nobel, and Jan Prins, Proceedings of the 6th SIAM Conference on Data Mining (SDM), pp. 405-416, 2006. Mining shifting-and-scaling co-regulation patterns on gene expression profiles, by Xin Xu, Anthony K. H. Tung, Ying Lu, and Wei Wang, Proceedings of the 22nd IEEE International Conference on Data Engineering (ICDE), pp. 89 (10 pages), 2006. Human motion estimation from a reduced marker set, by Guodong Liu, Jingdan Zhang, Wei Wang, and Leonard McMillan, Proceedings of the Symposium on Interactive 3D Graphics and Games (SI3D), pp. 35-42, 2006.

2005

Mining Sequential Patterns from Large Data Sets, by Wei Wang and Jiong Yang, in Series of Advances in Database Systems, edited by Ahmed Elmagarmid, Kluwer, 2005. Discovering evolutionary classifier over high speed non-static stream, by Jiong Yang, Xifeng Yan, Jiawei Han, and Wei Wang, Advanced Methods for Knowledge Discovery from Complex Data, pp. 337-364, 2005. Mining high dimensional data, by Wei Wang and Jiong Yang, Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers, Kluwer Academic Publishers, 2005. Comparing graph representations of protein structure for mining family-specific residue-based packing motifs, by Jun Huan, Wei Wang, Deepak Bandyopadhyay, Jack Snoeyink, Jan Prins, and Alexander Tropsha. Journal of Computational Biology (JCB), vol. 12, no. 6, pp. 657-671, 2005. Guest editors' introduction: special issue on mining biological data, by Wei Wang and Jiong Yang, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 17, no. 8, pp. 1019-1020, 2005. An improved biclustering method for analyzing gene expression profiles, by Jiong Yang, Haixun Wang, Wei Wang, and Philip Yu, International Journal on Artificial Intelligence Tools (IJAIT), vol. 14, no. 5, pp. 771-789, 2005. Finding representative set from massive data, by Feng Pan, Wei Wang, Anthony K. H. Tung, and Jiong Yang, Proceedings of the 5th IEEE International Conference on Data Mining (ICDM), pp. 338-345, 2005. Mining approximate frequent itemset from noisy data, by Jinze Liu, Susan Paulsen, Xing Xu, Wei Wang, Andrew Nobel, and Jan Prins, Proceedings of the 5th IEEE International Conference on Data Mining (ICDM), pp. 721-724, 2005. Rapid determination of local structural features common to a set of proteins (demo), by Jun Huan, Deepak Bandyopadhyay, Jinze Liu, Jan Prins, Jack Snoeyink, Alexander Tropsha, and Wei Wang, Proceedings of the 13th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2005. A system for analyzing and indexing human motion databases (demo), by Guodong Liu, Jingdan Zhang, Wei Wang, and Leonard McMillan, Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 924-926, 2005.

2004

Mining surprising periodic patterns, by Jiong Yang, Wei Wang, and Philip Yu. Data Mining and Knowledge Discovery (DMKD), vol. 9, no. 2, pp. 189-216, 2004. Discovering high order periodic patterns, by Jiong Yang, Wei Wang, and Philip Yu. Knowledge and Information Systems Journal (KAIS), vol. 6, no. 3, pp. 243-268, 2004. WAR: weighted association rules for item intensities, by Wei Wang, Jiong Yang, and Philip Yu. Knowledge and Information Systems Journal (KAIS), vol. 6, no. 2, pp. 203-229, 2004. Revealing true subspace clusters in high dimensions, by Jinze Liu, Karl Strohmaier, and Wei Wang. Proceedings of the 4th IEEE International Conference on Data Mining (ICDM), pp. 463-466, 2004. AGILE: a general approach to detect transitions in evolving data streams, by Jiong Yang and Wei Wang, Proceedings of the 4th IEEE International Conference on Data Mining (ICDM), pp. 559-562, 2004. A framework for ontology-driven subspace clustering, by Jinze Liu, Wei Wang, and Jiong Yang. Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 623-628, 2004. SPIN: Mining maximal frequent subgraphs from graph databases, by Jun Huan, Wei Wang, Jan Prins, and Jiong Yang. Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 581-586, 2004. Gene ontology friendly biclustering of expression profiles, by Jinze Liu, Jiong Yang, and Wei Wang. Proceedings of the IEEE Computational Systems Bioinformatics Conference (CSB), pp. 436-447, 2004. Biclustering of gene expression data by tendency, by Jinze Liu, Jiong Yang, and Wei Wang. Proceedings of the IEEE Computational Systems Bioinformatics Conference (CSB), pp. 182-193, 2004. BASS: approximate search on large string databases, by Jiong Yang, Wei Wang, and Philip Yu. Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM), pp. 181-192, 2004. Fast computation of database operations using graphics processors, by Naga Govindaraju, Brandon Lloyd, Wei Wang, Ming Lin, and Dinesh Manocha. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 215-226, 2004. Understanding social welfare service patterns using sequential analysis, by Hye-Chung Kum, Dean Duncan, and Wei Wang. Proceedings of the NSF National Conference on Digital Government Research (DG.O), 2004. Successfully adopting IT for social welfare program management, by Dean Duncan, Hye-Chung Kum, Kimberly Flair, and Wei Wang. Proceedings of the NSF National Conference on Digital Government Research (DG.O), 2004. Successfully adopting IT for social welfare program management (demo), by Dean Duncan, Hye-Chung Kum, Kimberly Flair, and Wei Wang. Proceedings of the NSF National Conference on Digital Government Research (DG.O), 2004. Mining spatial motifs from protein structure graphs, by Jun Huan, Wei Wang, Deepak Bandyopadhyay, Jack Snoeyink, Jan Prins, and Alex Tropsha. Proceedings of the 8th Annual International Conference on Research in Computational Molecular Biology (RECOMB), pp. 308-315, 2004. Accurate classification of protein structural families using coherent subgraph analysis, by Jun Huan, Wei Wang, Anglina Washington, Jan Prins, Ruchir Shah, and Alex Tropsha. Proceedings of the Pacific Symposium on Biocomputing (PSB), pp. 411-422, 2004.

2003

Advances in Web-Age Information Management --- Lecture Notes in Computer Science No. 2762, edited by Guozhu Dong, Changjie Tang, and Wei Wang, Springer-Verlag, 2003. Mining asynchronous periodic patterns in time series data, by Jiong Yang, Wei Wang, and Philip Yu. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 15, no. 3, pp. 613-628, 2003. Recent progress on selected topics in database research: a report from nine young Chinese researchers working in the United States (invited paper), by Zhiyuan Chen, Chen Li, Jian Pei, Yufei Tao, Haixun Wang, Wei Wang, Jiong Yang, Jun Yang, and Donghui Zhang. Journal of Computer Science and Technology, vol. 18, no. 5, pp. 538 – 552, 2003. OP-Cluster: clustering by tendency in high dimensional space, by Jinze Liu and Wei Wang. Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM), pp. 187-194, 2003. Efficient mining of frequent subgraph in the presence of isomorphism, by Jun Huan, Wei Wang, and Jan Prins. Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM), pp. 549-552, 2003. Discovering compact and highly discriminative features or feature combinations of drug activities using support vector machines, by Hwanjo Yu, Jiong Yang, Wei Wang, and Jiawei Han. Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB), pp. 220-228, 2003. Reconstructing of ancestral gene order after segmental duplication and gene loss, by Jun Huan, Jan Prins, Wei Wang, and Todd Vision. Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB), pp. 484-485, 2003. Social welfare program administration and evaluation and policy analysis using knowledge discovery and data mining (KDD) on administrative data, by Hye-Chung Kum, Dean Duncan, Kimberly Flair, and Wei Wang. Proceedings of the NSF National Conference on Digital Government Research (DG.O), pp. 39-44, 2003. Management assistance for Work First via a dynamic website, by Hye-Chung Kum, Dean Duncan, Kimberly Flair, and Wei Wang. Proceedings of the NSF National Conference on Digital Government Research (DG.O), pp. 296, 2003. STAMP: discovery of statistically important pattern repeats in a long sequence, by Jiong Yang, Wei Wang, and Philip Yu. Proceedings of the 3rd SIAM International Conference on Data Mining (SDM), pp. 224-238, 2003. ApproxMAP: Approximate Mining of Consensus Sequential Patterns, by Hye-Chung Kum, Jian Pei, Wei Wang, and Dean Duncan. Proceedings of the 3rd SIAM International Conference on Data Mining (SDM), pp. 311-315, 2003. Enhanced biclustering on gene expression data, by Jiong Yang, Haixun Wang, Wei Wang, and Philip Yu. Proceedings of the 3rd IEEE Conference on Bioinformatics and Bioengineering (BIBE), pp. 321-327, 2003. CLUSEQ: efficient and effective sequence clustering, by Jiong Yang and Wei Wang. Proceedings of the 19th IEEE International Conference on Data Engineering (ICDE), pp. 101-112, 2003.

2002

InfoMiner+: mining partial periodic patterns with gap penalties, by Jiong Yang, Wei Wang, and Philip Yu. Proceedings of the 2nd IEEE International Conference on Data Mining (ICDM), pp. 725-728, 2002. Comparative study of sequential pattern mining frameworks --- support framework vs. multiple alignment framework, by Hye-Chung Kum, Susan Paulsen, and Wei Wang. Proceedings of the 2nd IEEE International Conference on Data Mining (ICDM) Workshop on the Foundation of Data Mining and Discovery, 2002. Towards automatic clustering of protein sequences, by Jiong Yang and Wei Wang. Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB), pp. 175-186, 2002. Accelerating approximate subsequence search on large protein sequence databases, by Jiong Yang, Wei Wang, Yi Xia, and Philip Yu. Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB), pp. 207-218, 2002. Mining long sequential patterns in a noisy environment, by Jiong Yang, Wei Wang, Philip Yu, and Jiawei Han. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 406-417, 2002. Clustering by pattern similarity in large data sets, by Haixun Wang, Wei Wang, Jiong Yang, and Philip Yu. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 394-405, 2002. Accelerating search of approximate match on large protein sequence databases, by Wei Wang, Jiong Yang, Yi Xia, and Philip Yu. Proceedings of the 6th ACM International Conference on Research in Computational Molecular Biology (RECOMB), 2002. (poster) Improving performance of bicluster discovery in a large data set, by Jiong Yang, Wei Wang, Haixun Wang, and Philip Yu. Proceddings of the 6th ACM International Conference on Research in Computational Molecular Biology (RECOMB), 2002. (poster) A framework towards efficient and effective protein clustering, by Wei Wang and Jiong Yang. Proceddings of the 6th ACM International Conference on Research in Computational Molecular Biology (RECOMB), 2002. (poster) Efficient filtering of large data sets --- a user-centric paradigm, by Yi Xia, Wei Wang, Jiong Yang, Philip Yu, and Richard Muntz. Proceedings of the 2nd SIAM International Conference on Data Mining (SDM), pp. 112-127, 2002. Delta-cluster: capturing subspace correlation in a large data set, by Jiong Yang, Wei Wang, Haixun Wang, and Philip Yu. Proceedings of the 18th IEEE International Conference on Data Engineering (ICDE), pp. 517-528, 2002. A framework towards efficient and effective sequence clustering, by Wei Wang and Jiong Yang. Proceedings of the 18th IEEE International Conference on Data Engineering, pp. 282, 2002.

2001

Meta-patterns: revealing hidden periodical patterns, by Wei Wang, Jiong Yang, and Philip Yu. Proceedings of the 1st IEEE International Conference on Data Mining (ICDM), pp. 550-557, 2001. Info-miner: mining surprising periodic patterns, by Jiong Yang, Wei Wang, and Philip Yu. Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 395-400, 2001. TAR: temporal association rules on evolving numerical attributes, by Wei Wang, Jiong Yang, and Richard Muntz. Proceedings of the 17th IEEE International Conference on Data Engineering, pp. 283-292, 2001.

2000

Mining patterns in long sequential data with noise, by Wei Wang, Jiong Yang, and Philip Yu. ACM SIGKDD Explorations, vol. 2, no. 2, pp. 28-33, 2000. An approach to active spatial data mining based on statistical information, by Wei Wang, Jiong Yang, and Richard Muntz. IEEE Transactions on Knowledge and Data Engineering, vol. 12, no. 5, pp. 715-728, 2000. PK-tree: a spatial index structure for high dimensional point data, by Wei Wang, Jiong Yang, and Richard Muntz. Information Organization and Databases, Kluwer Academic Publishers, 2000. Dynamo: design, implementation, and evaluation of cooperative persistent object management in a local area network, by Jiong Yang, Wei Wang, Silvia Nittel, Richard Muntz, and Vince Busam. Software - Practice and Experience, vol. 30, no. 4, pp. 419-448, 2000. Efficient mining weighted association rules (WAR), by Wei Wang, Jiong Yang, and Philip Yu. Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 270-274, 2000. Mining asynchronous periodic patterns in time series data, by Jiong Yang, Wei Wang, and Philip Yu. Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 275-279, 2000. Collaborative web caching based on proxy affinities, by Jiong Yang, Wei Wang, and Richard Muntz. Proceedings of the ACM SIGMETRICS International Conference on measurement and Modeling of Computer Systems (SIGMETRICS), pp. 78-89, 2000. Dynamic adaptive file management in a local area network, by Jiong Yang, Wei Wang, Richard Muntz, and Silvia Nittel. Proceedings of the 20th IEEE International Conference on Distributed Computer Systems (ICDCS), pp. 368-375, 2000.

1999 and Before ...

STING+: an approach to active spatial data mining, by Wei Wang, Jiong Yang, and Richard Muntz. Proceedings of the 15th IEEE International Conference on Data Engineering, pp. 116-125, Sydney, Australia, March 1999. Performance analysis of three text-join algorithms, by Weiyi Meng, Clement Yu, Wei Wang, and Naphtali Rishe. IEEE Transactions on Knowledge and Data Engineering , vol. 10, no. 3, pp. 477-492, May/June 1998. DynamO: dynamic objects with persistent storage, by Jiong Yang, Silvia Nittel, Wei Wang, and Richard Muntz. Proceedings of the 8th International Workshop on Persistent Object Systems, September 1998. PK-tree: a spatial index structure for high dimensional point data, by Wei Wang, Jiong Yang, and Richard Muntz. Proceedings of the 5th International Conference of Foundations of Data Organization, November 1998. STING: a statistical information grid approach to spatial data mining, by Wei Wang, Jiong Yang, and Richard Muntz. Proceedings of the 23rd IEEE International Conference on Very Large Data Bases, pp. 186-195, Athens, Greece, August 1997. Performance analysis of several algorithms for processing joins between textual attributes, by Weiyi Meng, Clement Yu, Wei Wang, and Naphtali Rishe. Proceedings of the 12th IEEE International Conference on Data Engineering, pp. 636-644, New Orleans, Louisiana, February 1996.