- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| j46 |      | Xindong Wu, Xingquan Zhu, Yu He, Abdullah N. Arslan: PMBC: Pattern mining from biological sequences with wildcard constraints. Comp. in Bio. and Med. 43(5): 481-492 (2013) |
| j45 | | Yifan Fu, Xingquan Zhu, Bin Li: A survey on instance selection for active learning. Knowl. Inf. Syst. 35(2): 249-283 (2013) |
| j44 | | Xindong Wu, Kui Yu, Wei Ding, Hao Wang, Xingquan Zhu: Online Feature Selection with Streaming Features. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1178-1192 (2013) |
| c90 | | Lianhua Chi, Bin Li, Xingquan Zhu: Fast Graph Stream Classification Using Discriminative Clique Hashing. PAKDD (1) 2013: 225-236 |
| 2012 | ||
| j43 | | Zhenfeng Zhu, Xingquan Zhu, Yue-Fei Guo, Yangdong Ye, Xiangyang Xue: Inverse matrix-free incremental proximal support vector machine. Decision Support Systems 53(3): 395-405 (2012) |
| j42 | | Xingquan Zhu: Special issue on data mining applications and case study. Neurocomputing 92: 1-2 (2012) |
| c89 | | Meng Fang, Xingquan Zhu, Chengqi Zhang: Active Learning from Oracle with Knowledge Blind Spot. AAAI 2012 |
| c88 | | Guodong Long, Ling Chen, Xingquan Zhu, Chengqi Zhang: TCSST: transfer classification of short & sparse text using external data. CIKM 2012: 764-772 |
| c87 | | Shirui Pan, Xingquan Zhu: CGStream: continuous correlated graph query for data streams. CIKM 2012: 1183-1192 |
| c86 | | Zhenfeng Zhu, Xingquan Zhu, Yangdong Ye, Yue-Fei Guo, Xiangyang Xue: Parallel proximal support vector machine for high-dimensional pattern classification. CIKM 2012: 2351-2354 |
| c85 | | |
| c84 | | Bin Li, Xingquan Zhu, Lianhua Chi, Chengqi Zhang: Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams. ICDM 2012: 399-408 |
| c83 | | Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu: Self-Taught Active Learning from Crowds. ICDM 2012: 858-863 |
| c82 | | |
| c81 | | Shirui Pan, Xingquan Zhu, Meng Fang: Top-k correlated subgraph query for data streams. ICPR 2012: 2906-2909 |
| 2011 | ||
| j41 | | Dan He, Xingquan Zhu, Xindong Wu: Mining Approximate Repeating Patterns from Sequence Data with Gap Constraints. Computational Intelligence 27(3): 336-362 (2011) |
| j40 | | Peng Zhang, Xingquan Zhu, Yong Shi, Li Guo, Xindong Wu: Robust ensemble learning for mining noisy data streams. Decision Support Systems 50(2): 469-479 (2011) |
| j39 | | Xingquan Zhu, Bin Li, Xindong Wu, Dan He, Chengqi Zhang: CLAP: Collaborative pattern mining for distributed information systems. Decision Support Systems 52(1): 40-51 (2011) |
| j38 | | Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bond: Corrective classification: Learning from data imperfections with aggressive and diverse classifier ensembling. Inf. Syst. 36(8): 1135-1157 (2011) |
| j37 | | DongHong Sun, Li Liu, Peng Zhang, Xingquan Zhu, Yong Shi: Decision Rule Extraction for Regularized Multiple Criteria Linear Programming Model. IJDWM 7(3): 88-101 (2011) |
| j36 | | Xingquan Zhu, Wei Ding, Philip S. Yu, Chengqi Zhang: One-class learning and concept summarization for data streams. Knowl. Inf. Syst. 28(3): 523-553 (2011) |
| j35 | | Xingquan Zhu: Cross-Domain Semi-Supervised Learning Using Feature Formulation. IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(6): 1627-1638 (2011) |
| c80 | | |
| c79 | | Ting Guo, Zhanshan Li, Ruizhi Guo, Xingquan Zhu: Large Scale Diagnosis Using Associations between System Outputs and Components. AAAI 2011 |
| c78 | | Ruijiang Li, Bin Li, Cheng Jin, Xiangyang Xue, Xingquan Zhu: Tracking User-Preference Varying Speed in Collaborative Filtering. AAAI 2011 |
| c77 | | Guohua Liang, Xingquan Zhu, Chengqi Zhang: An Empirical Study of Bagging Predictors for Different Learning Algorithms. AAAI 2011 |
| c76 | | Guohua Liang, Xingquan Zhu, Chengqi Zhang: An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution. Australasian Conference on Artificial Intelligence 2011: 213-222 |
| c75 | | Yifan Fu, Bin Li, Xingquan Zhu, Chengqi Zhang: Do they belong to the same class: active learning by querying pairwise label homogeneity. CIKM 2011: 2161-2164 |
| c74 | | Zhenfeng Zhu, Xingquan Zhu, Yangdong Ye, Yue-Fei Guo, Xiangyang Xue: Transfer active learning. CIKM 2011: 2169-2172 |
| c73 | | Peng Zhang, Byron J. Gao, Xingquan Zhu, Li Guo: Enabling Fast Lazy Learning for Data Streams. ICDM 2011: 932-941 |
| c72 | | Dan He, Xingquan Zhu, D. Stott Parker: How Does Research Evolve? Pattern Mining for Research Meme Cycles. ICDM 2011: 1068-1073 |
| c71 | | Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Xiangyang Xue, Xindong Wu: Cross-Domain Collaborative Filtering over Time. IJCAI 2011: 2293-2298 |
| c70 | | Peng Zhang, Jun Li, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo: Enabling fast prediction for ensemble models on data streams. KDD 2011: 177-185 |
| c69 | | Hui Wu, Guangzhi Qu, Xingquan Zhu: Self-adjust Local Connectivity Analysis for Spectral Clustering. PAKDD (1) 2011: 209-224 |
| 2010 | ||
| j34 | | Zhenfeng Zhu, Yue-Fei Guo, Xingquan Zhu, Xiangyang Xue: Normalized dimensionality reduction using nonnegative matrix factorization. Neurocomputing 73(10-12): 1783-1793 (2010) |
| j33 | | Abu H. M. Kamal, Xingquan Zhu, Abhijit S. Pandya, Sam Hsu, Ramaswamy Narayanan: Feature Selection for Datasets with Imbalanced Class Distributions. International Journal of Software Engineering and Knowledge Engineering 20(2): 113-137 (2010) |
| j32 | | Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi: Active Learning From Stream Data Using Optimal Weight Classifier Ensemble. IEEE Transactions on Systems, Man, and Cybernetics, Part B 40(6): 1607-1621 (2010) |
| j31 | | Peng Zhang, Xingquan Zhu, Zhiwang Zhang, Yong Shi: Multiple criteria programming models for VIP E-Mail behavior analysis. Web Intelligence and Agent Systems 8(1): 69-78 (2010) |
| c68 | | Zhenfeng Zhu, Xingquan Zhu, Yue-Fei Guo, Xiangyang Xue: Transfer incremental learning for pattern classification. CIKM 2010: 1709-1712 |
| c67 | | Peng Zhang, Xingquan Zhu, Jianlong Tan, Li Guo: SKIF: a data imputation framework for concept drifting data streams. CIKM 2010: 1869-1872 |
| c66 | | Peng Zhang, Xingquan Zhu, Jianlong Tan, Li Guo: Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams. ICDM 2010: 1175-1180 |
| c65 | | Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard: Ensemble pruning via individual contribution ordering. KDD 2010: 871-880 |
| c64 | | Dan He, Xindong Wu, Xingquan Zhu: Rule Synthesizing from Multiple Related Databases. PAKDD (2) 2010: 201-213 |
| e1 |  | Sorin Draghici, Taghi M. Khoshgoftaar, Vasile Palade, Witold Pedrycz, M. Arif Wani, Xingquan Zhu (Eds.): The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010. IEEE Computer Society 2010, isbn 978-0-7695-4300-0 |
| 2009 | ||
| j30 | | Xindong Wu, Xingquan Zhu, Qijun Chen, Fei-Yue Wang: Ubiquitous Mining with Interactive Data Mining Agents. J. Comput. Sci. Technol. 24(6): 1018-1027 (2009) |
| j29 | | Xuxian Jiang, Xingquan Zhu: vEye: behavioral footprinting for self-propagating worm detection and profiling. Knowl. Inf. Syst. 18(2): 231-262 (2009) |
| c63 | | Abu H. M. Kamal, Xingquan Zhu, Abhijit S. Pandya, Sam Hsu, Muhammad Shoaib: The Impact of Gene Selection on Imbalanced Microarray Expression Data. BICoB 2009: 259-269 |
| c62 | | Michael Slavik, Xingquan Zhu, Imad Mahgoub, Muhammad Shoaib: Parallel Selection of Informative Genes for Classification. BICoB 2009: 388-399 |
| c61 | | Peng Zhang, Xingquan Zhu, Yong Shi: Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models. ICCS (2) 2009: 524-533 |
| c60 | | Peng Zhang, Xingquan Zhu, Li Guo: Mining Data Streams with Labeled and Unlabeled Training Examples. ICDM 2009: 627-636 |
| c59 | | Xingquan Zhu, Xindong Wu, Chengqi Zhang: Vague One-Class Learning for Data Streams. ICDM 2009: 657-666 |
| c58 | | Dan He, Xingquan Zhu, Xindong Wu: Approximate Repeating Pattern Mining with Gap Requirements. ICTAI 2009: 17-24 |
| c57 | | Dan He, Xingquan Zhu, Xindong Wu: Error Detection and Uncertainty Modeling for Imprecise Data. ICTAI 2009: 792-795 |
| c56 | | |
| c55 | | Abu H. M. Kamal, Xingquan Zhu, Ramaswamy Narayanan: Gene Selection for Microarray Expression Data with Imbalanced Sample Distributions. IJCBS 2009: 3-9 |
| c54 | | Abu H. M. Kamal, Xingquan Zhu, Abhijit S. Pandya, Sam Hsu: Feature Selection with biased Sample Distributions. IRI 2009: 23-28 |
| c53 | | Peng Zhang, Xingquan Zhu, Yong Shi, Xindong Wu: An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise. PAKDD 2009: 1021-1029 |
| r1 | | |
| 2008 | ||
| j28 | | Ying Yang, Xindong Wu, Xingquan Zhu: Conceptual equivalence for contrast mining in classification learning. Data Knowl. Eng. 67(3): 413-429 (2008) |
| j27 | | Xingquan Zhu, Chengqi Zhang, David L. Olson: Editorial. Int. J. Software and Informatics 2(2): 89-93 (2008) |
| j26 | | Xingquan Zhu, Ying Yang: A lazy bagging approach to classification. Pattern Recognition 41(10): 2980-2992 (2008) |
| j25 | | Xingquan Zhu, Ruoming Jin, Yuri Breitbart, Gagan Agrawal: MMIS07, 08: mining multiple information sources workshop report. SIGKDD Explorations 10(2): 61-65 (2008) |
| j24 | | Xindong Wu, Xingquan Zhu: Mining With Noise Knowledge: Error-Aware Data Mining. IEEE Transactions on Systems, Man, and Cybernetics, Part A 38(4): 917-932 (2008) |
| c52 | | Chinar C. Shah, Xingquan Zhu, Taghi M. Khoshgoftaar, Justin Beyer: Contrast Pattern Mining with Gap Constraints for Peptide Folding Prediction. FLAIRS Conference 2008: 95-100 |
| c51 | | Peng Zhang, Yingjie Tian, Zhiwang Zhang, Aihua Li, Xingquan Zhu: Select Objective Functions for Multiple Criteria Programming Classification. Web Intelligence/IAT Workshops 2008: 420-423 |
| c50 | | Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi: Cleansing Noisy Data Streams. ICDM 2008: 1139-1144 |
| c49 | | Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu: VoB predictors: Voting on bagging classifications. ICPR 2008: 1-4 |
| c48 | | Xingquan Zhu, Chengyi Bao, Weidong Qiu: Bagging very weak learners with lazy local learning. ICPR 2008: 1-4 |
| c47 | | Abu H. M. Kamal, Xingquan Zhu, Abhijit S. Pandya, Sam Hsu, Yong Shi: An empirical study of supervised learning for biological sequence profiling and microarray expression data analysis. IRI 2008: 70-75 |
| c46 | | Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu: VCI predictors: Voting on classifications from imputed learning sets. IRI 2008: 296-301 |
| c45 | | Peng Zhang, Xingquan Zhu, Yong Shi: Categorizing and mining concept drifting data streams. KDD 2008: 812-820 |
| c44 | | Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Russell Greiner: Imputation-boosted collaborative filtering using machine learning classifiers. SAC 2008: 949-950 |
| c43 | | Yongsuk Lee, Xingquan Zhu, Abhijit S. Pandya, Sam Hsu: iVESTA: an interactive visualization and evaluation system for drive test data. SAC 2008: 1953-1957 |
| p1 | | Xindong Wu, Yan Zhang, Xingquan Zhu: Data Mining. Wiley Encyclopedia of Computer Science and Engineering 2008 |
| 2007 | ||
| j23 | | Guojun Mao, Xindong Wu, Xingquan Zhu, Gong Chen, Chunnian Liu: Mining maximal frequent itemsets from data streams. J. Information Science 33(3): 251-262 (2007) |
| j22 | | Xingquan Zhu, Taghi M. Khoshgoftaar, Ian Davidson, Shichao Zhang: Editorial: Special issue on mining low-quality data. Knowl. Inf. Syst. 11(2): 131-136 (2007) |
| j21 | | Gong Chen, Xindong Wu, Xingquan Zhu: Mining Sequential Patterns across Time Sequences. New Generation Comput. 26(1): 75-96 (2007) |
| c42 | | Dan He, Xindong Wu, Xingquan Zhu: SAIL-APPROX: An Efficient On-Line Algorithm for Approximate Pattern Matching with Wildcards and Length Constraints. BIBM 2007: 151-158 |
| c41 | | Jing Wang, Ying Liu, Lin Zhou, Yong Shi, Xingquan Zhu: Pushing Frequency Constraint to Utility Mining Model. International Conference on Computational Science (3) 2007: 685-692 |
| c40 | | Ying Liu, Peter Scheuermann, Xingsen Li, Xingquan Zhu: Using WordNet to Disambiguate Word Senses for Text Classification. International Conference on Computational Science (3) 2007: 781-789 |
| c39 | | Xingquan Zhu, Xindong Wu: Discovering Relational Patterns across Multiple Databases. ICDE 2007: 726-735 |
| c38 | | Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi: Active Learning from Data Streams. ICDM 2007: 757-762 |
| c37 | | |
| c36 | | Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi: An Empirical Study of the Noise Impact on Cost-Sensitive Learning. IJCAI 2007: 1168-1174 |
| c35 | | Xingquan Zhu, Xindong Wu: Mining Complex Patterns across Sequences with Gap Requirements. IJCAI 2007: 2934-2941 |
| c34 | | Yu He, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan: Mining Frequent Patterns with Wildcards from Biological Sequences. IRI 2007: 329-334 |
| c33 | | Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Andres Folleco: Rule-Based Multiple Object Tracking for Traffic Surveillance Using Collaborative Background Extraction. ISVC (2) 2007: 469-478 |
| c32 | | Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Xingquan Zhu: Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts. Web Intelligence 2007: 645-649 |
| 2006 | ||
| j20 | | Xingquan Zhu, Xindong Wu, Qijun Chen: Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Data Datasets. Data Min. Knowl. Discov. 12(2-3): 275-308 (2006) |
| j19 | | Ying Yang, Xindong Wu, Xingquan Zhu: Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams. Data Min. Knowl. Discov. 13(3): 261-289 (2006) |
| j18 | | Xingquan Zhu, Xindong Wu, Ying Yang: Effective classification of noisy data streams with attribute-oriented dynamic classifier selection. Knowl. Inf. Syst. 9(3): 339-363 (2006) |
| j17 | | Gong Chen, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan, Yu He: Efficient string matching with wildcards and length constraints. Knowl. Inf. Syst. 10(4): 399-419 (2006) |
| j16 | | Xingquan Zhu, Xindong Wu: Class Noise Handling for Effective Cost-Sensitive Learning by Cost-Guided Iterative Classification Filtering. IEEE Trans. Knowl. Data Eng. 18(10): 1435-1440 (2006) |
| c31 | | Xianhua Jiang, Yuichi Motai, Robert R. Snapp, Xingquan Zhu: Accelerated Kernel Feature Analysis. CVPR (1) 2006: 109-116 |
| c30 | | |
| c29 | | Yan Zhang, Xingquan Zhu, Xindong Wu: Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners. ICDM 2006: 1199-1204 |
| c28 | | Xingquan Zhu, Xindong Wu: Scalable Representative Instance Selection and Ranking. ICPR (3) 2006: 352-355 |
| 2005 | ||
| j15 | | Xingquan Zhu, Xindong Wu, Ahmed K. Elmagarmid, Zhe Feng, Lide Wu: Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective. IEEE Trans. Knowl. Data Eng. 17(5): 665-677 (2005) |
| j14 | | Xingquan Zhu, Xindong Wu, Ahmed K. Elmagarmid, Zhe Feng, Lide Wu: Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective - Appendices. IEEE Trans. Knowl. Data Eng. 17(5) (2005) |
| j13 | | Xingquan Zhu, Xindong Wu: Cost-Constrained Data Acquisition for Intelligent Data Preparation. IEEE Trans. Knowl. Data Eng. 17(11): 1542-1556 (2005) |
| j12 | | Xingquan Zhu, Ahmed K. Elmagarmid, Xiangyang Xue, Lide Wu, Ann Christine Catlin: InsightVideo: toward hierarchical video content organization for efficient browsing, summarization and retrieval. IEEE Transactions on Multimedia 7(4): 648-666 (2005) |
| c27 | | Gong Chen, Xindong Wu, Xingquan Zhu: Sequential Pattern Mining in Multiple Streams. ICDM 2005: 585-588 |
| c26 | | Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bond: ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing. ICTAI 2005: 310-317 |
| c25 | | Qijun Chen, Xindong Wu, Xingquan Zhu: Scalable Inductive Learning on Partitioned Data. ISMIS 2005: 391-403 |
| c24 | | Ying Yang, Xindong Wu, Xingquan Zhu: Combining proactive and reactive predictions for data streams. KDD 2005: 710-715 |
| 2004 | ||
| j11 | | Xingquan Zhu, Xindong Wu: Class Noise vs. Attribute Noise: A Quantitative Study. Artif. Intell. Rev. 22(3): 177-210 (2004) |
| j10 | | 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. Multimedia Syst. 9(6): 575-585 (2004) |
| j9 | | Xingquan Zhu, Xindong Wu, Jianping Fan, Ahmed K. Elmagarmid, Walid G. Aref: Exploring video content structure for hierarchical summarization. Multimedia Syst. 10(2): 98-115 (2004) |
| j8 | | Jianping Fan, Ahmed K. Elmagarmid, Xingquan Zhu, Walid G. Aref, Lide Wu: ClassView: hierarchical video shot classification, indexing, and accessing. IEEE Transactions on Multimedia 6(1): 70-86 (2004) |
| c23 | | Xingquan Zhu, Xindong Wu, Ying Yang: Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets. AAAI 2004: 378-384 |
| c22 | | Xingquan Zhu, Xindong Wu: Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning. ICDM 2004: 297-304 |
| c21 | | Xingquan Zhu, Xindong Wu, Ying Yang: Dynamic Classifier Selection for Effective Mining from Noisy Data Streams. ICDM 2004: 305-312 |
| c20 | | Xingquan Zhu, Xindong Wu: Data Acquisition with Active and Impact-Sensitive Instance Selection. ICTAI 2004: 721-726 |
| c19 | | |
| c18 | | Ying Yang, Xindong Wu, Xingquan Zhu: Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources. PKDD 2004: 471-483 |
| 2003 | ||
| j7 | | Xingquan Zhu, Jianping Fan, Ahmed K. Elmagarmid, Xindong Wu: Hierarchical video content description and summarization using unified semantic and visual similarity. Multimedia Syst. 9(1): 31-53 (2003) |
| j6 | | Jianping Fan, Xingquan Zhu, Kayvan Najarian, Lide Wu: Accessing Video Contents through Key Objects over IP. Multimedia Tools Appl. 21(1): 75-96 (2003) |
| j5 | | Elisa Bertino, Jianping Fan, Elena Ferrari, Mohand-Said Hacid, Ahmed K. Elmagarmid, Xingquan Zhu: A hierarchical access control model for video database systems. ACM Trans. Inf. Syst. 21(2): 155-191 (2003) |
| c17 | | Xingquan Zhu, Walid G. Aref, Jianping Fan, Ann Christine Catlin, Ahmed K. Elmagarmid: Medical Video Mining for Efficient Database Indexing, Management and Access. ICDE 2003: 569-580 |
| c16 | | Hangzai Luo, Jianping Fan, Jing Xiao, Xingquan Zhu: Semantic principal video shot classification via mixture Gaussian. ICME 2003: 189-192 |
| c15 | | |
| c14 | | |
| c13 | | Xingquan Zhu, Xindong Wu: Mining Video Associations for Efficient Database Management. IJCAI 2003: 1422- |
| 2002 | ||
| j4 | | Jianping Fan, Xingquan Zhu, Mohand-Said Hacid, Ahmed K. Elmagarmid: Model-Based Video Classification toward Hierarchical Representation, Indexing and Access. Multimedia Tools Appl. 17(1): 97-120 (2002) |
| c12 | | Xingquan Zhu, Jianping Fan, Walid G. Aref, Ahmed K. Elmagarmid: ClassMiner: Mining Medical Video Content Structure and Events Towards Efficient Access and Scalable Skimming. DMKD 2002 |
| c11 | | 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. ICDE 2002: 490-491 |
| c10 | | Xingquan Zhu, Jianping Fan, Ahmed K. Elmagarmid: Towards facial feature extraction and verification for omni-face detection in video/images. ICIP (2) 2002: 113-116 |
| c9 | | 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. Multimedia Information Systems 2002: 8-17 |
| c8 | | Xingquan Zhu, Jianping Fan, Mohand-Said Hacid, Ahmed K. Elmagarmid: ClassMiner: mining medical video for scalable skimming and summarization. ACM Multimedia 2002: 79-80 |
| c7 | | Xingquan Zhu, Jianping Fan, Xiangyang Xue, Lide Wu, Ahmed K. Elmagarmid: Semi-automatic Video Content Annotation. IEEE Pacific Rim Conference on Multimedia 2002: 245-252 |
| c6 | | Xingquan Zhu, Xiangyang Xue, Jianping Fan, Lide Wu: Qualitative Camera Motion Classification for Content-Based Video Indexing. IEEE Pacific Rim Conference on Multimedia 2002: 1128-1136 |
| c5 | | Jianping Fan, Mathurin Body, Xingquan Zhu, Mohand-Said Hacid, Essam A. El-Kwae: Seeded image segmentation for content-based image retrieval application. Storage and Retrieval for Media Databases 2002: 10-21 |
| c4 | | Xingquan Zhu, Jianping Fan, Ahmed K. Elmagarmid, Walid G. Aref: Hierarchical video summarization for medical data. Storage and Retrieval for Media Databases 2002: 395-406 |
| 2001 | ||
| j3 | | Xingquan Zhu, HongJiang Zhang, Liu Wenyin, Chunhui Hu, Lide Wu: New query refinement and semantics integrated image retrieval system with semiautomatic annotation scheme. J. Electronic Imaging 10(4): 850-860 (2001) |
| j2 | | Jianping Fan, Walid G. Aref, Ahmed K. Elmagarmid, Mohand-Said Hacid, Mirette S. Marzouk, Xingquan Zhu: MultiView: Multilevel video content representation and retrieval. J. Electronic Imaging 10(4): 895-908 (2001) |
| j1 | | Jianping Fan, Xingquan Zhu, Lide Wu: Automatic model-based semantic object extraction algorithm. IEEE Trans. Circuits Syst. Video Techn. 11(10): 1073-1084 (2001) |
| c3 | | Jianping Fan, Xingquan Zhu, Lide Wu: Seeded Semantic Object Generation toward Content-Based Video Indexing. IEEE Pacific Rim Conference on Multimedia 2001: 837-842 |
| c2 | | Xingquan Zhu, Lide Wu, Xiangyang Xue, Xiaoye Lu, Jianping Fan: Automatic Scene Detection in News Program by Integrating Visual Feature and Rules. IEEE Pacific Rim Conference on Multimedia 2001: 843-848 |
| 2000 | ||
| c1 | | Ye Lu, Chunhui Hu, Xingquan Zhu, HongJiang Zhang, Qiang Yang: A unified framework for semantics and feature based relevance feedback in image retrieval systems. ACM Multimedia 2000: 31-37 |
Colors in the list of coauthors
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