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Xingquan Zhu: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Xingquan Zhu, Xindong Wu, Ying Yang
    Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:378-384 [Conf]
  2. Xianhua Jiang, Yuichi Motai, Robert R. Snapp, Xingquan Zhu
    Accelerated Kernel Feature Analysis. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2006, pp:109-116 [Conf]
  3. Xingquan Zhu, Jianping Fan, Walid G. Aref, Ahmed K. Elmagarmid
    ClassMiner: Mining Medical Video Content Structure and Events Towards Efficient Access and Scalable Skimming. [Citation Graph (0, 0)][DBLP]
    DMKD, 2002, pp:- [Conf]
  4. Walid G. Aref, Ann Christine Catlin, Ahmed K. Elmagarmid, Jianping Fan, J. Guo, Moustafa A. Hammad, Ihab F. Ilyas, Mirette S. Marzouk, Sunil Prabhakar, Abdelmounaam Rezgui, S. Teoh, Evimaria Terzi, Yi-Cheng Tu, Athena Vakali, Xingquan Zhu
    A Distributed Database Server for Continuous Media. [Citation Graph (0, 0)][DBLP]
    ICDE, 2002, pp:490-491 [Conf]
  5. Xingquan Zhu, Walid G. Aref, Jianping Fan, Ann Christine Catlin, Ahmed K. Elmagarmid
    Medical Video Mining for Efficient Database Indexing, Management and Access. [Citation Graph (0, 0)][DBLP]
    ICDE, 2003, pp:569-580 [Conf]
  6. Gong Chen, Xindong Wu, Xingquan Zhu
    Sequential Pattern Mining in Multiple Streams. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:585-588 [Conf]
  7. Xingquan Zhu, Xindong Wu
    Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:297-304 [Conf]
  8. Xingquan Zhu, Xindong Wu, Ying Yang
    Dynamic Classifier Selection for Effective Mining from Noisy Data Streams. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:305-312 [Conf]
  9. Yan Zhang, Xingquan Zhu, Xindong Wu
    Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:1199-1204 [Conf]
  10. Xingquan Zhu, Jianping Fan, Ahmed K. Elmagarmid
    Towards facial feature extraction and verification for omni-face detection in video/images. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2002, pp:113-116 [Conf]
  11. Xingquan Zhu, Xindong Wu, Qijun Chen
    Eliminating Class Noise in Large Datasets. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:920-927 [Conf]
  12. Xingquan Zhu, Xindong Wu
    Scalable Representative Instance Selection and Ranking. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:352-355 [Conf]
  13. Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bond
    ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2005, pp:310-317 [Conf]
  14. Xingquan Zhu, Xindong Wu
    Data Acquisition with Active and Impact-Sensitive Instance Selection. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2004, pp:721-726 [Conf]
  15. Qijun Chen, Xindong Wu, Xingquan Zhu
    OIDM: Online Interactive Data Mining. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2004, pp:66-76 [Conf]
  16. Xingquan Zhu, Xindong Wu
    Mining Video Associations for Efficient Database Management. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1422-0 [Conf]
  17. Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi
    An Empirical Study of the Noise Impact on Cost-Sensitive Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1168-1174 [Conf]
  18. Xingquan Zhu, Xindong Wu
    Mining Complex Patterns across Sequences with Gap Requirements. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2934-2941 [Conf]
  19. Qijun Chen, Xindong Wu, Xingquan Zhu
    Scalable Inductive Learning on Partitioned Data. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2005, pp:391-403 [Conf]
  20. Ying Yang, Xindong Wu, Xingquan Zhu
    Combining proactive and reactive predictions for data streams. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:710-715 [Conf]
  21. Walid G. Aref, Ann Christine Catlin, Jianping Fan, Ahmed K. Elmagarmid, Moustafa A. Hammad, Ihab F. Ilyas, Mirette S. Marzouk, Xingquan Zhu
    A Video Database Management System for Advancing Video Database Research. [Citation Graph (0, 0)][DBLP]
    Multimedia Information Systems, 2002, pp:8-17 [Conf]
  22. Ye Lu, Chunhui Hu, Xingquan Zhu, HongJiang Zhang, Qiang Yang
    A unified framework for semantics and feature based relevance feedback in image retrieval systems. [Citation Graph (0, 0)][DBLP]
    ACM Multimedia, 2000, pp:31-37 [Conf]
  23. Xingquan Zhu, Jianping Fan, Mohand-Said Hacid, Ahmed K. Elmagarmid
    ClassMiner: mining medical video for scalable skimming and summarization. [Citation Graph (0, 0)][DBLP]
    ACM Multimedia, 2002, pp:79-80 [Conf]
  24. Jianping Fan, Xingquan Zhu, Lide Wu
    Seeded Semantic Object Generation toward Content-Based Video Indexing. [Citation Graph (0, 0)][DBLP]
    IEEE Pacific Rim Conference on Multimedia, 2001, pp:837-842 [Conf]
  25. Xingquan Zhu, Jianping Fan, Xiangyang Xue, Lide Wu, Ahmed K. Elmagarmid
    Semi-automatic Video Content Annotation. [Citation Graph (0, 0)][DBLP]
    IEEE Pacific Rim Conference on Multimedia, 2002, pp:245-252 [Conf]
  26. Xingquan Zhu, Lide Wu, Xiangyang Xue, Xiaoye Lu, Jianping Fan
    Automatic Scene Detection in News Program by Integrating Visual Feature and Rules. [Citation Graph (0, 0)][DBLP]
    IEEE Pacific Rim Conference on Multimedia, 2001, pp:843-848 [Conf]
  27. Xingquan Zhu, Xiangyang Xue, Jianping Fan, Lide Wu
    Qualitative Camera Motion Classification for Content-Based Video Indexing. [Citation Graph (0, 0)][DBLP]
    IEEE Pacific Rim Conference on Multimedia, 2002, pp:1128-1136 [Conf]
  28. Ying Yang, Xindong Wu, Xingquan Zhu
    Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:471-483 [Conf]
  29. Xingquan Zhu, Xindong Wu
    Class Noise vs. Attribute Noise: A Quantitative Study. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 2004, v:22, n:3, pp:177-210 [Journal]
  30. Xingquan Zhu, Xindong Wu, Qijun Chen
    Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Data Datasets. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2006, v:12, n:2-3, pp:275-308 [Journal]
  31. Ying Yang, Xindong Wu, Xingquan Zhu
    Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2006, v:13, n:3, pp:261-289 [Journal]
  32. Xingquan Zhu, Xindong Wu, Ying Yang
    Effective classification of noisy data streams with attribute-oriented dynamic classifier selection. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2006, v:9, n:3, pp:339-363 [Journal]
  33. Xingquan Zhu, Taghi M. Khoshgoftaar, Ian Davidson, Shichao Zhang
    Editorial: Special issue on mining low-quality data. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2007, v:11, n:2, pp:131-136 [Journal]
  34. Gong Chen, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan, Yu He
    Efficient string matching with wildcards and length constraints. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2006, v:10, n:4, pp:399-419 [Journal]
  35. Walid G. Aref, Ann Christine Catlin, Ahmed K. Elmagarmid, Jianping Fan, Moustafa A. Hammad, Ihab F. Ilyas, Mirette S. Marzouk, Sunil Prabhakar, Yi-Cheng Tu, Xingquan Zhu
    VDBMS: A testbed facility for research in video database benchmarking. [Citation Graph (0, 0)][DBLP]
    Multimedia Syst., 2004, v:9, n:6, pp:575-585 [Journal]
  36. Xingquan Zhu, Jianping Fan, Ahmed K. Elmagarmid, Xindong Wu
    Hierarchical video content description and summarization using unified semantic and visual similarity. [Citation Graph (0, 0)][DBLP]
    Multimedia Syst., 2003, v:9, n:1, pp:31-53 [Journal]
  37. Xingquan Zhu, Xindong Wu, Jianping Fan, Ahmed K. Elmagarmid, Walid G. Aref
    Exploring video content structure for hierarchical summarization. [Citation Graph (0, 0)][DBLP]
    Multimedia Syst., 2004, v:10, n:2, pp:98-115 [Journal]
  38. Jianping Fan, Xingquan Zhu, Mohand-Said Hacid, Ahmed K. Elmagarmid
    Model-Based Video Classification toward Hierarchical Representation, Indexing and Access. [Citation Graph (0, 0)][DBLP]
    Multimedia Tools Appl., 2002, v:17, n:1, pp:97-120 [Journal]
  39. Jianping Fan, Xingquan Zhu, Kayvan Najarian, Lide Wu
    Accessing Video Contents through Key Objects over IP. [Citation Graph (0, 0)][DBLP]
    Multimedia Tools Appl., 2003, v:21, n:1, pp:75-96 [Journal]
  40. Jianping Fan, Xingquan Zhu, Lide Wu
    Automatic model-based semantic object extraction algorithm. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Circuits Syst. Video Techn., 2001, v:11, n:10, pp:1073-1084 [Journal]
  41. Xingquan Zhu, Xindong Wu
    Cost-Constrained Data Acquisition for Intelligent Data Preparation. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:11, pp:1542-1556 [Journal]
  42. Xingquan Zhu, Xindong Wu
    Class Noise Handling for Effective Cost-Sensitive Learning by Cost-Guided Iterative Classification Filtering. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:10, pp:1435-1440 [Journal]
  43. Xingquan Zhu, Xindong Wu, Ahmed K. Elmagarmid, Zhe Feng, Lide Wu
    Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:5, pp:665-677 [Journal]
  44. Xingquan Zhu, Xindong Wu, Ahmed K. Elmagarmid, Zhe Feng, Lide Wu
    Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective - Appendices. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:5, pp:- [Journal]
  45. Jianping Fan, Ahmed K. Elmagarmid, Xingquan Zhu, Walid G. Aref, Lide Wu
    ClassView: hierarchical video shot classification, indexing, and accessing. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Multimedia, 2004, v:6, n:1, pp:70-86 [Journal]
  46. Xingquan Zhu, Ahmed K. Elmagarmid, Xiangyang Xue, Lide Wu, Ann Christine Catlin
    InsightVideo: toward hierarchical video content organization for efficient browsing, summarization and retrieval. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Multimedia, 2005, v:7, n:4, pp:648-666 [Journal]
  47. Elisa Bertino, Jianping Fan, Elena Ferrari, Mohand-Said Hacid, Ahmed K. Elmagarmid, Xingquan Zhu
    A hierarchical access control model for video database systems. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 2003, v:21, n:2, pp:155-191 [Journal]
  48. Ying Liu, Peter Scheuermann, Xingsen Li, Xingquan Zhu
    Using WordNet to Disambiguate Word Senses for Text Classification. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2007, pp:781-789 [Conf]
  49. Jing Wang, Ying Liu, Lin Zhou, Yong Shi, Xingquan Zhu
    Pushing Frequency Constraint to Utility Mining Model. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2007, pp:685-692 [Conf]
  50. Xingquan Zhu, Xindong Wu
    Discovering Relational Patterns across Multiple Databases. [Citation Graph (0, 0)][DBLP]
    ICDE, 2007, pp:726-735 [Conf]
  51. Yu He, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan
    Mining Frequent Patterns with Wildcards from Biological Sequences. [Citation Graph (0, 0)][DBLP]
    IRI, 2007, pp:329-334 [Conf]
  52. Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Andres Folleco
    Rule-Based Multiple Object Tracking for Traffic Surveillance Using Collaborative Background Extraction. [Citation Graph (0, 0)][DBLP]
    ISVC (2), 2007, pp:469-478 [Conf]

  53. Contrast Pattern Mining with Gap Constraints for Peptide Folding Prediction. [Citation Graph (, )][DBLP]


  54. Select Objective Functions for Multiple Criteria Programming Classification. [Citation Graph (, )][DBLP]


  55. Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models. [Citation Graph (, )][DBLP]


  56. Lazy Bagging for Classifying Imbalanced Data. [Citation Graph (, )][DBLP]


  57. Active Learning from Data Streams. [Citation Graph (, )][DBLP]


  58. Cleansing Noisy Data Streams. [Citation Graph (, )][DBLP]


  59. Vague One-Class Learning for Data Streams. [Citation Graph (, )][DBLP]


  60. Mining Data Streams with Labeled and Unlabeled Training Examples. [Citation Graph (, )][DBLP]


  61. Bagging very weak learners with lazy local learning. [Citation Graph (, )][DBLP]


  62. VoB predictors: Voting on bagging classifications. [Citation Graph (, )][DBLP]


  63. Error Detection and Uncertainty Modeling for Imprecise Data. [Citation Graph (, )][DBLP]


  64. Approximate Repeating Pattern Mining with Gap Requirements. [Citation Graph (, )][DBLP]


  65. Multiple Information Sources Cooperative Learning. [Citation Graph (, )][DBLP]


  66. An empirical study of supervised learning for biological sequence profiling and microarray expression data analysis. [Citation Graph (, )][DBLP]


  67. VCI predictors: Voting on classifications from imputed learning sets. [Citation Graph (, )][DBLP]


  68. Feature Selection with biased Sample Distributions. [Citation Graph (, )][DBLP]


  69. Categorizing and mining concept drifting data streams. [Citation Graph (, )][DBLP]


  70. Ensemble pruning via individual contribution ordering. [Citation Graph (, )][DBLP]


  71. An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise. [Citation Graph (, )][DBLP]


  72. Rule Synthesizing from Multiple Related Databases. [Citation Graph (, )][DBLP]


  73. iVESTA: an interactive visualization and evaluation system for drive test data. [Citation Graph (, )][DBLP]


  74. Imputation-boosted collaborative filtering using machine learning classifiers. [Citation Graph (, )][DBLP]


  75. Hierarchical video summarization for medical data. [Citation Graph (, )][DBLP]


  76. Seeded image segmentation for content-based image retrieval application. [Citation Graph (, )][DBLP]


  77. Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts. [Citation Graph (, )][DBLP]


  78. SAIL-APPROX: An Efficient On-Line Algorithm for Approximate Pattern Matching with Wildcards and Length Constraints. [Citation Graph (, )][DBLP]


  79. The Impact of Gene Selection on Imbalanced Microarray Expression Data. [Citation Graph (, )][DBLP]


  80. Parallel Selection of Informative Genes for Classification. [Citation Graph (, )][DBLP]


  81. Conceptual equivalence for contrast mining in classification learning. [Citation Graph (, )][DBLP]


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