| 2008 |
|---|
| 58 | EE | Yongsuk Lee,
Xingquan Zhu,
Abhijit S. Pandya,
Sam Hsu:
iVESTA: an interactive visualization and evaluation system for drive test data.
SAC 2008: 1953-1957 |
| 57 | EE | Xiaoyuan Su,
Taghi M. Khoshgoftaar,
Xingquan Zhu,
Russell Greiner:
Imputation-boosted collaborative filtering using machine learning classifiers.
SAC 2008: 949-950 |
| 2007 |
|---|
| 56 | EE | 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 |
| 55 | EE | Xingquan Zhu,
Xindong Wu:
Discovering Relational Patterns across Multiple Databases.
ICDE 2007: 726-735 |
| 54 | EE | Xingquan Zhu,
Peng Zhang,
Xiaodong Lin,
Yong Shi:
Active Learning from Data Streams.
ICDM 2007: 757-762 |
| 53 | EE | Xingquan Zhu:
Lazy Bagging for Classifying Imbalanced Data.
ICDM 2007: 763-768 |
| 52 | EE | Xingquan Zhu,
Xindong Wu,
Taghi M. Khoshgoftaar,
Yong Shi:
An Empirical Study of the Noise Impact on Cost-Sensitive Learning.
IJCAI 2007: 1168-1174 |
| 51 | EE | Xingquan Zhu,
Xindong Wu:
Mining Complex Patterns across Sequences with Gap Requirements.
IJCAI 2007: 2934-2941 |
| 50 | EE | Yu He,
Xindong Wu,
Xingquan Zhu,
Abdullah N. Arslan:
Mining Frequent Patterns with Wildcards from Biological Sequences.
IRI 2007: 329-334 |
| 49 | EE | 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 |
| 48 | EE | 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 |
| 47 | EE | 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 |
| 46 | EE | Xiaoyuan Su,
Russell Greiner,
Taghi M. Khoshgoftaar,
Xingquan Zhu:
Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts.
Web Intelligence 2007: 645-649 |
| 45 | EE | 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) |
| 2006 |
|---|
| 44 | EE | Xianhua Jiang,
Yuichi Motai,
Robert R. Snapp,
Xingquan Zhu:
Accelerated Kernel Feature Analysis.
CVPR (1) 2006: 109-116 |
| 43 | EE | Yan Zhang,
Xingquan Zhu,
Xindong Wu:
Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners.
ICDM 2006: 1199-1204 |
| 42 | EE | Xingquan Zhu,
Xindong Wu:
Scalable Representative Instance Selection and Ranking.
ICPR (3) 2006: 352-355 |
| 41 | EE | 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) |
| 40 | EE | 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) |
| 39 | EE | 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) |
| 38 | EE | 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) |
| 37 | EE | 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) |
| 2005 |
|---|
| 36 | EE | Gong Chen,
Xindong Wu,
Xingquan Zhu:
Sequential Pattern Mining in Multiple Streams.
ICDM 2005: 585-588 |
| 35 | EE | Yan Zhang,
Xingquan Zhu,
Xindong Wu,
Jeffrey P. Bond:
ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing.
ICTAI 2005: 310-317 |
| 34 | EE | Qijun Chen,
Xindong Wu,
Xingquan Zhu:
Scalable Inductive Learning on Partitioned Data.
ISMIS 2005: 391-403 |
| 33 | EE | Ying Yang,
Xindong Wu,
Xingquan Zhu:
Combining proactive and reactive predictions for data streams.
KDD 2005: 710-715 |
| 32 | EE | Xingquan Zhu,
Xindong Wu:
Cost-Constrained Data Acquisition for Intelligent Data Preparation.
IEEE Trans. Knowl. Data Eng. 17(11): 1542-1556 (2005) |
| 31 | EE | 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) |
| 30 | EE | 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) |
| 29 | EE | 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) |
| 2004 |
|---|
| 28 | | Xingquan Zhu,
Xindong Wu,
Ying Yang:
Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets.
AAAI 2004: 378-384 |
| 27 | EE | Xingquan Zhu,
Xindong Wu:
Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning.
ICDM 2004: 297-304 |
| 26 | EE | Xingquan Zhu,
Xindong Wu,
Ying Yang:
Dynamic Classifier Selection for Effective Mining from Noisy Data Streams.
ICDM 2004: 305-312 |
| 25 | EE | Xingquan Zhu,
Xindong Wu:
Data Acquisition with Active and Impact-Sensitive Instance Selection.
ICTAI 2004: 721-726 |
| 24 | EE | Qijun Chen,
Xindong Wu,
Xingquan Zhu:
OIDM: Online Interactive Data Mining.
IEA/AIE 2004: 66-76 |
| 23 | EE | Ying Yang,
Xindong Wu,
Xingquan Zhu:
Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources.
PKDD 2004: 471-483 |
| 22 | EE | Xingquan Zhu,
Xindong Wu:
Class Noise vs. Attribute Noise: A Quantitative Study.
Artif. Intell. Rev. 22(3): 177-210 (2004) |
| 21 | EE | 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) |
| 20 | EE | 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) |
| 19 | EE | 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) |
| 2003 |
|---|
| 18 | EE | 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 |
| 17 | | Xingquan Zhu,
Xindong Wu,
Qijun Chen:
Eliminating Class Noise in Large Datasets.
ICML 2003: 920-927 |
| 16 | | Xingquan Zhu,
Xindong Wu:
Mining Video Associations for Efficient Database Management.
IJCAI 2003: 1422- |
| 15 | EE | 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) |
| 14 | EE | 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) |
| 13 | EE | Jianping Fan,
Xingquan Zhu,
Kayvan Najarian,
Lide Wu:
Accessing Video Contents through Key Objects over IP.
Multimedia Tools Appl. 21(1): 75-96 (2003) |
| 2002 |
|---|
| 12 | EE | Xingquan Zhu,
Jianping Fan,
Mohand-Said Hacid,
Ahmed K. Elmagarmid:
ClassMiner: mining medical video for scalable skimming and summarization.
ACM Multimedia 2002: 79-80 |
| 11 | EE | 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 |
| 10 | EE | 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 |
| 9 | | 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 |
| 8 | EE | 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 |
| 7 | EE | 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 |
| 6 | | 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 |
| 5 | | 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) |
| 2001 |
|---|
| 4 | EE | Jianping Fan,
Xingquan Zhu,
Lide Wu:
Seeded Semantic Object Generation toward Content-Based Video Indexing.
IEEE Pacific Rim Conference on Multimedia 2001: 837-842 |
| 3 | EE | 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 |
| 2 | | Jianping Fan,
Xingquan Zhu,
Lide Wu:
Automatic model-based semantic object extraction algorithm.
IEEE Trans. Circuits Syst. Video Techn. 11(10): 1073-1084 (2001) |
| 2000 |
|---|
| 1 | EE | 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 |
