Presentation Slides and Unrefereed Publications

• Presentation slides for Invited and Keynote Talks at Conferences
• Guides, Editorials and Welcome Messages to Research and Leadership Activities

2010 and Beyond

1. Zhao Li, Xindong Wu, and Hong Peng, Non-negative Matrix Factorization on Orthogonal Subspace, Pattern Recognition Letters, accepted, to appear.
2. Yan Zhang and Xindong Wu, Integrating Induction and Deduction for Noisy Data Mining, Information Sciences, accepted, to appear.
3. Qianhui Liang, Xindong Wu, E.K. Park, Taghi M. Khoshgoftaar, and Chi-Hung Chi, Ontology-based Business Process Customization for Composite Web Services, IEEE Transactions on Systems, Man and Cybernetics, Part A, accepted, to appear.
4. Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Rui Zhang, James Bailey, and Kotagiri Ramamohanarao, Mining Distribution Change in Stock Order Streams, Proceedings of the 26th IEEE International Conference on Data Engineering (ICDE 2010), Long Beach, California, USA, March 1-6, 2010.
5. Tianyu Cao, Xindong Wu, Song Wang, and Xiaohua Hu, OASNET: An Optimal Allocation Approach to Influence Maximization on Modular Social Networks, Proceedings of the 25th ACM Symposium on Applied Computing, Sierre, Switzerland, March 22-26, 2010.
6. Zhong-Qiu Zhao, Herve Glotin, Jun Gao, Xindong Wu, A Matrix Modular SVM Robust to Imbalanced Data for Efficient Visual Concept Detection, Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, March 29-31, 2010, National Constitution Center, Philadelphia, Pennsylvania, USA.
7. Zhenyu Lu, Xindong Wu, and Josh Bongard, Adaptive Informative Sampling for Active Learning, Proceedings of the 10th SIAM International Conference on Data Mining (SDM 2010), April 29th - May 1st 2010 Columbus, Ohio, USA.

2009

1. Xindong Wu and Vipin Kumar (Eds), The Top Ten Algorithms in Data Mining, Chapman & Hall/CRC, 2009, ISBN 978-1-4200-8964-6.
2. Emilio Corchado, Xindong Wu, Erkki Oja, Alvaro Herrero, and Bruno Baruque (Eds.), Hybrid Artificial Intelligence Systems (Proceedings of HAIS '09: the 4th International Conference on Hybrid Artificial Intelligence Systems, LNAI 5572), Salamanca, Spain, June 10-12, 2009. ISBN 978-3-642-02318-7.
3. Dacheng Tao, Xuelong Li, Xindong Wu, and Steve Maybank, Geometric Mean for Subspace Selection in Multiclass Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(2009), 2: 260-274.
4. Zili Zhang, Pengyi Yang, Xindong Wu, and Chengqi Zhang, An Agent-Based Hybrid System for Microarray Data Analysis, IEEE Intelligent Systems, 24(2009), 5: 53-63.
5. Shichao Zhang, Xiaofang You, Zhi Jin, and Xindong Wu, Mining Globally Interesting Patterns from Multiple Databases Using Kernel Estimation, Expert Systems with Applications, 36(2009), 8: 10863-10869.
6. Zhao Xie, Jun Gao, and Xindong Wu, Regional Category Parsing in Undirected Graphical Models, Pattern Recognition Letters, 30(2009), 14: 1264-1272.
7. Qianhui Liang, Xindong Wu, and Hoong Chuin Lau, Optimizing Service Systems based on Application-Level QoS, IEEE Transactions on Services Computing, 2(2009), 2: 108-121.
8. Zhenyu Lu, Xindong Wu, and Josh Bongard, Active Learning with Adaptive Heterogeneous Ensembles, Proceedings of the 9th IEEE International Conference on Data Mining (ICDM 2009) (acceptance rate for regular papers: 70/786), Miami, FL, USA, December 6-9, 2009, 327-336.
9. Xingquan Zhu, Xindong Wu, Chengqi Zhang, Vague One-Class Learning for Data Streams, Proceedings of the 9th IEEE International Conference on Data Mining (ICDM 2009) (acceptance rate for regular papers: 70/786), Miami, FL, USA, December 6-9, 2009, 657-666.
10. Dan He, Xingquan Zhu and Xindong Wu, Approximate Repeating Pattern Mining with Gap Requirements, Proceedings of the 21st IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2009), November 2-4, 2009, Newark Liberty International Airport Marriott Newark, New Jersey, USA, 17-24.
11. Dan He, Xingquan Zhu and Xindong Wu, Error Detection and Uncertainty Modeling for Imprecise Data, Proceedings of the 21st IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2009), November 2-4, 2009, Newark Liberty International Airport Marriott Newark, New Jersey, USA, 792-795.
12. Yong-Ming Huang, Xindong Wu, Xue-Gang Hu, Fei Xie, Jun Gao, and Gong-Qing Wu, Mining Frequent Patterns with Gaps and One-off Condition, Proceedings of the 12th IEEE International Conferences on Computational Science and Engineering (CSE 2009) (acceptance rate: 40 out of 183 submissions), August 29-31, Vancouver, Canada, 180-186.
13. Peipei Li, Qianhui Liang, Xindong Wu, and Xuegang Hu, Parameter Estimation in Semi-Random Decision Tree Ensembling on Streaming Data, Proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09), Bangkok, Thailand, April 27-30, 2009, 376-388.
14. Peng Zhang, Xingquan Zhu, Yong Shi, and Xindong Wu, An Aggregate Ensemble for Mining Data Streams with both Concept Drifting and Noise, Proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09), Bangkok, Thailand, April 27-30, 2009, 1021-1029.
15. Gong-Qing Wu, Xindong Wu, Xue-Gang Hu, Hai-Guang Li, Ying Liu, and Ren-Gan Xu, Web News Extraction Based on Path Pattern Mining, Proceedings of the 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'09), Tianjin, China, 14-16 August 2009.
16. Qianhui Liang, Peipei Li, Patrick C. K. Hung, and Xindong Wu, Clustering Web Services for Automatic Categorization, Proceedings of the 2009 IEEE International Conference on Services Computing (IEEE SCC 2009), September 21-25, 2009, Bangalore, India, 380-387.
17. Fan Min, Xindong Wu, and Zhenyu Lu, Pattern Matching with Independent Wildcard Gaps, Proceedings of the 8th International Conference on Pervasive Intelligence and Computing (PICom 2009), Chengdu, China, December 12-14, 2009.
18. Fan Min and Xindong Wu, A Comparative Study of Pattern Matching Algorithms on Sequences, Proceedings of the Twelfth International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2009), 16-18 December 2009, Delhi, India, 510-517.
19. Yingling Liu, Xindong Wu, Xuegang Hu, Jun Gao, Gongqing Wu, Haiping Wang and Xiaoli Hong, Pattern Matching with Wildcards based on Key Character Location, Proceedings of the 2009 IEEE International Conference in Information Reuse and Integration (IRI-2009), August 10-12, 2009, Tuscany Hotel, Las Vegas, USA.
20. Hai-Guang Li, Gong-Qing Wu, Xue-Gang Hu, Xindong Wu, Yuan-Jun Bi, Pei-Pei Li, A Relation Extraction Method of Chinese Named Entities Based on Location and Semantic Features, Proceedings of the 2009 IEEE International Conference on Granular Computing (GrC 2009), Lushan Mountian/Nanchang, China, August 17-19, 2009, 334-339.
21. Fan Min and Xindong Wu, Local Semi-linear Regression for River Runoff Forecasting, Proceedings of the 12th IEEE International Conference on Computational Science and Engineering (CSE-09), Vancouver, Canada August 29-August 31, 556-561.

2008

1. Zhongzhi Shi, Werner Horn, and Xindong Wu (Eds), Progress of Advanced Intelligence: Proceedings of the 2008 International Conference on Advanced Intelligence, Beijing, China, October 18 - 22, 2008. ISBN 978-7-115-14504-8.
2. Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael Steinbach, David J. Hand and Dan Steinberg, Top 10 Algorithms in Data Mining, Knowledge and Information Systems, 14(2008), 1: 1-37.
3. Shichao Zhang, Xindong Wu, Chengqi Zhang, and Jingli Lu, Computing the Minimum-Support for Mining Frequent Patterns, Knowledge and Information Systems, 15(2008), 2: 233-257.
4. Xindong Wu and Xingquan Zhu, Mining with Noise Knowledge: Error-Aware Data Mining, IEEE Transactions on Systems, Man and Cybernetics, Part A, 38(2008), 4: 917-932.
5. Ying Yang, Xindong Wu, and Xingquan Zhu, Conceptual Equivalence for Contrast Mining in Classification Learning, Data and Knowledge Engineering, 67(2008), 3: 413-429.
6. Dacheng Tao, Xuelong Li, Xindong Wu, and Steve Maybank, Tensor Rank One Discriminant Analysis - A Convergent Method for Discriminative Multilinear Subspace Selection, Neurocomputing, 71(2008), 10: 1866-1882.
7. Gong Chen, Xindong Wu, and Xingquan Zhu, Mining Sequential Patterns across Time Sequences, New Generation Computing, 26(2008), 1: 75-96.
8. Dacheng Tao, Mingli Song, Xuelong Li, Jialie Shen, Jimeng Sun, Xindong Wu, Christos Faloutsos, and Stephen J. Maybank, Bayesian Tensor Approach for 3D Face Modelling, IEEE Transactions on Circuits and Systems for Video Technology, 18(2008), 10: 1397-1410.
9. Dingjun Chen, Keith C. C. Chan and Xindong Wu, Gene Expression Analyses Using Genetic Algorithm based Hybrid Approaches, Proceedings of the 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008), Hong Kong Convention and Exhibition Centre, Hong Kong, June 1-6, 2008, 963-969.
10. Dacheng Tao, Jimeng Sun, Jialie Shen, Xindong Wu, Xuelong Li, Stephen J. Maybank, and Christos Faloutsos, Bayesian Tensor Analysis, Proceedings of the 2008 IEEE International Joint Conference on Neural Networks (IJCNN), Hong Kong Convention and Exhibition Centre, Hong Kong, June 1-6, 2008, 1402-1409.
11. Zhao Li, Hong Peng, and Xindong Wu, A New Descriptive Clustering Algorithm Based on Nonnegative Matrix Factorization, Proceedings of the 2008 IEEE International Conference on Granular Computing (IEEE GrC 2008), Hangzhou, China, August 26-28, 2008, 407-412.
12. Guojun Mao, Jing Zhang, and Xindong Wu, Intrusion Detection Based on the Short Sequence Model, Proceedings of the 7th World Congress on Intelligent Control and Automation, International Convention Center, Chongqing, China, June 25-27, 2008, 1449-1454.
13. Guojun Mao, Xialing Yang, and Xindong Wu, A New Algorithm for Mining Frequent Closed Itemsets from Data Streams, Proceedings of the 7th World Congress on Intelligent Control and Automation, International Convention Center, Chongqing, China, June 25-27, 2008, 154-159.
14. Peipei Li, Xuegang Hu, and Xindong Wu, Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees, Proceedings of the Fourth International Conference on Advanced Data Mining and Applications, Chengdu, China, 8-10 October 2008, 733-740.
15. Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, and Yong Shi, Cleansing Noisy Data Streams, Proceedings of the 8th IEEE International Conference on Data Mining, December 15-19, 2008, Pisa, Italy, 1139-1144.
16. Xiaoyan Liu, Xindong Wu, Huaiqing Wang, and Yingfeng Wang, Multilayer Change-Point Detection on Stock Order Flows by Wavelet Transformation, Proceedings of ICDM Workshops 2008, December 15-19, 2008, Pisa, Italy, 635-642.
17. Xinghua Li, Xindong Wu, Xuegang Hu, Fei Xie, and Zhaozhong Jiang, Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages, Proceedings of ICDM Workshops 2008, December 15-19, 2008, Pisa, Italy, 744-751.
18. Qianhui Liang, Hoong Chuin Lau, and Xindong Wu, Robust Application-Level QoS Management in Service-Oriented Systems, Proceedings of the 2008 IEEE International Conference on e-Business Engineering (ICEBE 2008), October 22-24, 2008, Xi'an, China, 239-246.

2007

1. Pavel Berkhin, Rich Caruana, Xindong Wu, and Scott Gaffney (Eds), Proceedings of KDD-07: the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, CA, USA, August 12-15, 2007. ISBN 978-1-59593-609-7.
2. Dacheng Tao, Xuelong Li, Xindong Wu, and Steve Maybank, General Tensor Discriminant Analysis and Gabor Features for Gait Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(2007), 10: 1700-1715.
3. Dacheng Tao, Xuelong Li, Xindong Wu, Weiming Hu, and Steve Maybank, Supervised Tensor Learning, Knowledge and Information Systems, 13(2007), 1: 1-42.
4. Jun Gao, Zhao Xie, Xindong Wu, Generic Object Recognition with Regional Statistical Models and Layer Joint Boosting, Pattern Recognition Letters, 28(2007), 16: 2227-2237
5. Guojun Mao, Xindong Wu, Xingquan Zhu, Gong Chen, and Chunnian Liu, Mining Maximal Frequent Itemsets from Data Streams, Journal of Information Science, 33(2007), 3: 251-262.
6. Xuegang Hu, Peipei Li, Xindong Wu, and Gongqing Wu, A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams, Journal of Computer Science and Technology, 22(2007), 5: 711-724.
7. Feng Xue, You-Sheng Zhang, Ju-Lang Jiang, Min Hu, Xindong Wu, Rong-Gui Wang, Real-time Texture Synthesis Using s-Tile Set, Journal of Computer Science and Technology, 22(2007), 4: 590-596.
8. Dacheng Tao, Xuelong Li, Xindong Wu, and Stephen Maybank, General Averaged Divergence Analysis (this paper won the Best Theory/Algorithms Paper Runner Up Award of the conference), Proceedings of the Seventh IEEE International Conference on Data Mining (ICDM '07) (acceptance rate for regular papers: 40/530), Omaha, Nebraska, USA, October 28-31, 2007, 302-311.
9. Yan Zhang and Xindong Wu, Noise Modeling with Associative Corruption Rules, Proceedings of the Seventh IEEE International Conference on Data Mining (ICDM '07) (acceptance rate: 101/530), Omaha, Nebraska, USA, October 28-31, 2007, 733-738.
10. Xingquan Zhu and Xindong Wu, Mining Complex Patterns across Sequences with Gap Requirements, Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07) (acceptance rate: 212/1353 for regular, oral presentations), Hyderabad, India, January 6-12, 2007, 2934-2940.
11. Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, and Yong Shi, An Empirical Study of the Noise Impact on Cost-Sensitive Learning, Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07) (acceptance rate: 212 regular papers + 258 poster papers, out of 1353 submissions), Hyderabad, India, January 6-12, 2007, 1168-1173.
12. Xingquan Zhu and Xindong Wu, Discovering Relational Patterns across Multiple Databases, Proceedings of the 23rd IEEE International Conference on Data Engineering (ICDE 2007) (acceptance rate: 122/659 for full papers), April 16-20, 2007, The Marmara Hotel, Istanbul, Turkey, 726-735.
13. Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, and Chengqi Zhang, Measuring the Uncertainty of Differences for Contrasting Groups, Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI-07), Vancouver, British Columbia, Canada, July 22-26, 2007, 1920-1921.
14. Xuegang Hu, Dongbo Wang, Xindong Wu, Varying Density Spatial Clustering Based On a Hierarchical Tree, Proceedings of the Fifth International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM'2007), July 18-20, 2007, Leipzig, Germany, 188-202.
15. Kui Yu, Hao Wang, and Xindong Wu, A Parallel Algorithm for Learning Bayesian Networks, Proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007) (acceptance rate: 17.67%), Nanjing, China, 22-25 May 2007, 1055-1063.
16. Xuegang Hu, Wei Liu, Dexing Wang, and Xindong Wu, Mining Frequent Itemsets Using A Pruned Concept Lattice, Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 24-27 August 2007, Haikou, China, Volume 3, 606-610.
17. Yu He, Xindong Wu, Xingquan Zhu and Abdullah N Arslan, Mining Frequent Patterns with Wildcards from Biological Sequences, Proceedings of the 2007 IEEE International Conference on Information Reuse and Integration (IRI-07), August 13 - 15, 2007, Hilton Hotel, Las Vegas, USA, 329-334.
18. Dan He, Abdullah N. Arslan, Yu He and Xindong Wu, Iterative Refinement of Repeat Sequence Specification Using Constrained Pattern Matching, Proceedings of the IEEE 7th International Symposium on Bioinformatics & Bioengineering (BIBE 2007), Harvard Medical School Conference Center, Cambridge - Boston, Massachusetts, USA, October 14-17, 2007, 1199-1203.
19. Dan He, Xindong Wu and Xingquan Zhu, SAIL-APPROX: An Efficient On-line Algorithm for Approximate Pattern Matching with Wildcards and Length Constraints, Proceedings of the 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM'07) (acceptance rate: 60/133), San Jose, CA, USA, November 2-4, 2007, 151-158.
20. Dacheng Tao, Jimeng Sun, Xindong Wu, Xuelong Li, Jialie Shen, Stephen J. Maybank, and Christos Faloutsos, Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria, Proceedings of the 14th International Conference on Neural Information Processing (ICONIP 2007) (acceptance rate: 60%), 13-16 November, 2007, Kitakyushu, Japan, 791-801.

2006

1. Toyoaki Nishida, Zhongzhi Shi, Ubbo Visser, Xindong Wu, Jiming Liu, Benjamin Wah, William Cheung, and Yiu-Ming Cheung (Eds), Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 18-22 December 2006, Hong Kong, China. ISBN 0-7695-2747-7.
2. Dacheng Tao, Xiaoou Tang, Xuelong Li, and Xindong Wu, Asymmetric Bagging and Random Subspace for Support Vector Machines-Based Relevance Feedback in Image Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(2006), 7: 1088-1099.
3. Xingquan Zhu and Xindong Wu, Class Noise Handling for Effective Cost-Sensitive Classification by Cost-Guided Iterative Classification Filtering, IEEE Transactions on Knowledge and Data Engineering, 18(2006), 10: 1435-1440.
4. Xingquan Zhu, Xindong Wu, and Qijun Chen, Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Datasets, Data Mining and Knowledge Discovery, 12(2006), 2: 275-308.
5. Ying Yang, Xindong Wu, and Xingquan Zhu, Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams, Data Mining and Knowledge Discovery, 13(2006), 3: 261-289.
6. Xingquan Zhu, Xindong Wu, and Ying Yang, Effective Classification of Noisy Data Streams with Attribute-Oriented Dynamic Classifier Selection, Knowledge and Information Systems, 9(2006), 3: 339-363.
7. Kaile Su, Huijing Huang, Xindong Wu, and Shichao Zhang, A Logical Framework for Identifying Quality Knowledge from Different Data Sources, Decision Support Systems, 42(2006), 3: 1673-1683.
8. Qiang Yang and Xindong Wu (Contributors: Pedro Domingos, Charles Elkan, Johannes Gehrke, Jiawei Han, David Heckerman, Daniel Keim, Jiming Liu, David Madigan, Gregory Piatetsky-Shapiro, Vijay V. Raghavan, Rajeev Rastogi, Salvatore J. Stolfo, Alexander Tuzhilin, and Benjamin W. Wah), 10 Challenging Problems in Data Mining Research, International Journal of Information Technology & Decision Making, Vol. 5, No. 4, 2006, 597-604.
9. Gong Chen, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan, and Yu He, Efficient String Matching with Wildcards and Length Constraints, Knowledge and Information Systems, 10(2006), 4: 399-419.
10. Shichao Zhang, Feng Chen, Xindong Wu, and Chengqi Zhang, Identifying Bridging Rules between Conceptual Clusters, Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2006) (acceptance rate: 23%), August 20 - 23, 2006, Philadelphia, USA, 815-820.
11. Yan Zhang, Xingquan Zhu, and Xindong Wu, Corrective Classification: A Classifier Ensemble with Corrective and Diverse Base Learners, Proceedings of the 6th IEEE International Conference on Data Mining (ICDM '06) (acceptance rate: 73 regular papers + 79 short papers out of 776 submissions), Hong Kong Convention and Exhibition Centre, Hong Kong, China, 18-22 December 2006, 1199-1204.
12. Dacheng Tao, Xuelong Li, Xindong Wu, and Steve Maybank, Elapsed Time in Human Gait Recognition: A New Approach, Proceedings of the 31st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006) (acceptance rate: 1465/3045), Toulouse, France, May 14-19, 2006, Volume 2, 177-180.
13. Divya Singh, Abdullah Arslan, and Xindong Wu, Using an Extended Suffix Tree to Speed-Up Sequence Alignment, Proceedings of the IADIS International Conference on Applied Computing 2006, San Sebastian, Spain, 25-28 February 2006, 655-660.
14. Xingquan Zhu and Xindong Wu, Error Awareness Data Mining, Proceedings of 2006 IEEE International Conference on Granular Computing (GrC 2006) (acceptance rate 49/321 for 6-page papers), Atlanta, USA, May 10-12, 2006, 269-274.
15. Xingquan Zhu and Xindong Wu, Scalable Representative Instance Selection and Ranking, Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 20-24 August 2006, Hong Kong, Volume 3, 352-355.
16. Dan He and Xindong Wu, Ontology-Based Feature Weighting for Biomedical Literature Classification, Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration (IRI-2006) (acceptance rate: 97/185 for regular papers), September 16-18, 2006, Waikoloa, Hawaii, USA, 280-285.
17. Hao Wang, Kui Yu, Xindong Wu, and Hongliang Yao, Triangulation of Bayesian Networks using an Adaptive Genetic Algorithm, Proceedings of the 16th International Symposium on Methodologies for Intelligent Systems (ISMIS 2006), Bari, Italy, September 27-29, 2006, 127-136.
18. Dacheng Tao, Xuelong Li, Xindong Wu, and Steve Maybank, Human Carrying Status in Visual Surveillance, Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), New York, NY, June 17-22, 2006, 1670-1677.
19. Dan He and Xindong Wu, An Efficient Algorithm for Finding Approximate Complex Repetitive Patterns, Proceedings of the 2006 IASTED International Conference on Computational and Systems Biology (CASB 2006), November 13-14, 2006, Dallas, Texas, USA, 44-49.

2005

1. Xindong Wu, Chengqi Zhang, and Shichao Zhang, Database Classification for Multi-Database Mining, Information Systems, 30(2005), 1: 71-88.
2. Xingquan Zhu, Xindong Wu, Ahmed K. Elmagarmid, Zhe Feng, and Lide Wu, Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective, IEEE Transactions on Knowledge and Data Engineering, 17(2005), 5: 665-677.
3. Xingquan Zhu and Xindong Wu, Cost-Constrained Data Acquisition for Intelligent Data Preparation, IEEE Transactions on Knowledge and Data Engineering, 17(2005), 11: 1542-1556.
4. Jiaqi Wang, Xindong Wu, and Chengqi Zhang, Support Vector Machines based on K-Means Clustering for Real-Time Business Intelligence Systems, International Journal of Business Intelligence and Data Mining, 1(2005), 1: 54-64.
5. Hao Huang, Xindong Wu, and Richard Relue, Mining Frequent Patterns with the Pattern Tree, New Generation Computing, 23(2005), 4: 315-337.
6. Ying Yang, Xindong Wu, and Xingquan Zhu, Combining Proactive and Reactive Predictions for Data Streams, Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2005) (acceptance rate: 40 full papers + 36 short papers, out of 358 research-track submissions), Chicago, IL, USA, August 21-24, 2005, 710-715.
7. Dacheng Tao, Xuelong Li, Weiming Hu, Stephen Maybank, and Xindong Wu, Supervised Tensor Learning, Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM '05) (acceptance rate: 69/630 for regular papers), Houston, TX, USA, 27 - 30 November 2005, 450-457.
8. Gong Chen, Xindong Wu, and Xingquan Zhu, Sequential Pattern Mining in Multiple Data Streams, Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM '05) (acceptance rate: 69 regular papers + 72 short papers, out of 630 submissions), Houston, TX, USA, 27 - 30 November 2005, 585-588.
9. Shichao Zhang, Xindong Wu, Jilian Zhang, and Chengqi Zhang, A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases, Proceedings of the 7th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2005) (acceptance rate: 52/162), 22 - 26 August 2005, Copenhagen, Denmark, 305-314.
10. Gyesung Lee, Xindong Wu, and Jinho Chon, Rearranging Data Objects for Efficient and Stable Clustering, Proceedings of the 20th Annual ACM Symposium on Applied Computing (SAC 2005) (acceptance rate: 12/35 for full papers at the Special Track on Data Mining), Santa Fe, New Mexico, March 13 - 17, 2005, 519-524.
11. Qijun Chen, Xindong Wu, and Xingquan Zhu, Scalable Inductive Learning on Partitioned Data, Proceedings of the 15th International Symposium on Methodologies for Intelligent Systems (ISMIS 2005) (acceptance rate: 69 out of ``almost 200'' submissions), May 26-28, 2005, Saratoga Springs, New York, 391-403.
12. Yan Zhang, Xingquan Zhu, Xindong Wu, and Jeffrey P. Bond, ACE: An Aggressive Classifier Ensemble with Error Detection, Correction and Cleansing (this paper won the Best Paper Award of the conference), Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005) (acceptance rate: 36/297 for regular papers), Hong Kong, November 14-16, 2005, 310-317.
13. Guojun Mao, Xindong Wu, Chunnian Liu, Yue Sun, and Xu Liu, An Association Matrix Structure for Mining Key Event Sequences Over Sliding Windows, Proceedings of the 3rd International Conference on Computer Science and its Applications (ICCSA-2005), June 28-30, 2005, San Diego, California, 59-63.

2004

1. Shichao Zhang, Chengqi Zhang, and Xindong Wu, Knowledge Discovery in Multiple Databases, Springer, 2004. ISBN 1-85233-703-6.
2. Xindong Wu, Chengqi Zhang, and Shichao Zhang, Efficient Mining of Both Positive and Negative Association Rules, ACM Transactions on Information Systems, 22(2004), 3: 381-405.
3. Xindong Wu, Data Mining: An AI Perspective, The IEEE Intelligent Informatics Bulletin, 4(2004), 2: 23-26.
4. Ying Yang and Xindong Wu, Parameter Tuning for Induction Algorithm Oriented Feature Elimination, IEEE Intelligent Systems, 19(2004), 2: 40-49.
5. Xingquan Zhu and Xindong Wu, Class Noise vs Attribute Noise: A Quantitative Study of Their Impacts, Artificial Intelligence Review, 22(2004), 3-4: 177-210.
6. Jeffrey Stone, Xindong Wu, and Mark Greenblatt, A Semantic Network for Modeling Biological Knowledge in Multiple Databases, Communications of the IIMA, 4(2004), 4: 41-57. (This paper was first refereed and accepted for presentation at the 15th Annual Conference of the International Information Management Association (IIMA), Chicago, IL, October 7-9, 2004. It was acknowledged by the President of IIMA on October 18, 2004, as an IIMA 2004 finalist for the Best Paper Award.)
7. Xingquan Zhu, Xindong Wu, Jianping Fan, Walid G. Aref, and Ahmed K. Elmagarmid, Exploring Video Content Structure for Hierarchical Summarization, Multimedia Systems, 10(2004), 2: 98-115.
8. Xingquan Zhu, Xindong Wu, and Ying Yang, Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets, Proceedings of the 19th National Conference on Artificial Intelligence (AAAI-04) (acceptance rate: 121/453), July 25-29, 2004, San Jose, California, 378-383.
9. Ying Yang, Xindong Wu, and Xingquan Zhu, Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources, Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) (acceptance rate: 39/301 for regular papers), Pisa, Italy, September 20-24, 2004, 471-483.
10. Jeffrey Stone, Xindong Wu, and Mark Greenblatt, An Intelligent Digital Library System for Computational Biologists (a poster paper; abstract refereed), Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference (CSB2004), Stanford, CA, August 16-19, 2004, 491-492.
11. Xingquan Zhu and Xindong Wu, Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning , Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM '04) (acceptance rate: 39/451 for regular papers), Brighton, UK, November 1 - 4, 2004, 297-304.
12. Xingquan Zhu, Xindong Wu, and Ying Yang, Dynamic Classifier Selection for Effective Mining from Noisy Data Streams, Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM '04) (acceptance rate: 39/451 for regular papers), Brighton, UK, November 1 - 4, 2004, 305-312.
13. Xingquan Zhu and Xindong Wu, Data Acquisition with Active and Impact-Sensitive Instance Selection, Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004) (acceptance rate: 54 regular papers + 47 short papers, out of 205 submissions), November 15-17, 2004, Boca Raton, Florida, 721-726.
14. Qijun Chen, Xindong Wu, and Xingquan Zhu, OIDM: Online Interactive Data Mining, Proceedings of the 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2004) (acceptance rate: 129/208), May 17-20, 2004, Ottawa, Canada, 66-76.

2003

1. Xindong Wu, Alex Tuzhilin, and Jude Shavlik (Eds), Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM '03), Melbourne, Florida, USA, November 19 - 22, 2003. IEEE Computer Society Press, California, USA. ISBN 0-7695-1978-4. [Welcome to ICDM 2003]
2. Xindong Wu and Shichao Zhang, Synthesizing High-Frequency Rules from Different Data Sources, IEEE Transactions on Knowledge and Data Engineering, 15(2003), 2: 353-367.
3. Xindong Wu, Philip S. Yu, Gregory Piatetsky-Shapiro, Nick Cercone, T.Y. Lin, Ramamohanarao Kotagiri, and Benjamin W. Wah, Data Mining: How Research Meets Practical Development?, Knowledge and Information Systems, 5(2003), 2: 248-261.
4. Shichao Zhang, Xindong Wu, and Chengqu Zhang, Multi-Database Mining, The IEEE Computational Intelligence Bulletin, 2(2003), 1: 5-13.
5. Xingquan Zhu, Jianping Fan, Ahmed K. Elmagarmid, and Xindong Wu, Hierarchical Video Content Description and Summarization Using Unified Semantic and Visual Similarity, Multimedia Systems, 9(2003), 1: 31-53.
6. Xingquan Zhu and Xindong Wu, Mining Video Associations for Efficient Database Management, Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03) (acceptance rate: 189 regular papers + 63 poster papers, out of 913 full-paper submissions), Acapulco, Mexico, August 12-15, 2003, 1422-1424.
7. Xingquan Zhu, Xindong Wu, and Qijun Chen, Eliminating Class Noise in Large Datasets, Proceedings of the 20th International Conference on Machine Learning (ICML-2003) (acceptance rate: 119/371), Washington D.C., USA, August 21-24, 2003, 920-927.
8. Xingquan Zhu and Xindong Wu, Sequential Association Mining for Video Summarization, Proceedings of the 2003 IEEE International Conference on Multimedia & Expo (ICME 2003) (acceptance rate: 440/760), Baltimore, MD, July 6-9, 2003, Volume 3, 333-336.
9. Jiaqi Wang, Chengqi Zhang, Xindong Wu, Hongwei Qi, and Jue Wang, SVM-OD: A New SVM Algorithm for Outlier Detection, Proceedings of ICDM '03 Workshop on Foundations and New Directions of Data Mining (acceptance rate: 33/62), Melbourne, Florida, USA, November 19, 2003, 203-209.
10. Shichao Zhang, Xindong Wu, Chengqi Zhang, and Kaile Su, Identifying Quality Knowledge from Different Data Sources, Proceedings of ICDM '03 Workshop on Foundations and New Directions of Data Mining (acceptance rate: 33/62), Melbourne, Florida, USA, November 19, 2003, 234-242.

2002

1. Stephen Ransom and Xindong Wu, Using Knowledge Anchors to Reduce Cognitive Overhead, IEEE Computer, 35(2002), 11: 111-112.
2. Xindong Wu, Chengqi Zhang, and Shichao Zhang, Mining Both Positive and Negative Association Rules, Proceedings of the 19th International Conference on Machine Learning (ICML-2002) (acceptance rate: 86/261), The University of New South Wales, Sydney, Australia, 8-12 July 2002, 658-665.
3. Hao Huang, Xindong Wu, and Richard Relue, Association Analysis with One Scan of Databases, Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM '02) (acceptance rate: 72 regular papers + 49 short papers & industry-track papers, out of 369 submissions), Maebashi TERRSA, Maebashi City, Japan, December 9 - 12, 2002, 629-632.
4. Kalyani K. Manchi and Xindong Wu, Dynamic Refinement of Classification Rules, Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002) (acceptance rate: 27 regular papers + 24 short papers, out of 84 submissions), Washington D.C., November 4-6, 2002, 189-196.
5. Richard Relue and Xindong Wu, Rule Generation with the Pattern Repository (Plenary Talk), Proceedings of the 2002 IEEE International Conference on Artificial Intelligence Systems (IEEE AIS-02), Gelendzhik, Black Sea Cost, Russia, September 5-10, 2002, 186-191.

2001

1. Nick Cercone, T.Y. Lin, and Xindong Wu (Eds), Proceedings of the 2001 IEEE International Conference on Data Mining (ICDM '01), Doubletree Hotel, San Jose, California, USA, November 29 - December 2, 2001. IEEE Computer Society Press, California, USA. ISBN 0-7695-1119-8. [Welcome from the Steering Committee Chair (pp xiii-xiv)]
2. Shichao Zhang and Xindong Wu, Large Scale Data Mining Based on Data Partitioning, Applied Artificial Intelligence, 15(2001), 2: 129-139.
3. Richard Relue, Xindong Wu, and Hao Huang, Efficient Runtime Generation of Association Rules, Proceedings of the 10th ACM International Conference on Information and Knowledge Management (ACM CIKM 2001) (acceptance rate: 66/259 for regular papers), Doubletree Hotel Atlanta-Buckhead, Atlanta, Georgia, USA, November 5-10, 2001, 466-473.

2000

1. Xindong Wu, Building Intelligent Learning Database Systems, AI Magazine, 21(2000), 3: 61-67.
2. Xindong Wu and Kevin Cai, Knowledge Object Modeling, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 30(2000), 2: 96-107.

1999

1. Xindong Wu and David Urpani, Induction by Attribute Elimination, IEEE Transactions on Knowledge and Data Engineering, 11(1999), 5: 805-812.
2. Xindong Wu, Fuzzy Interpretation of Discretized Intervals, IEEE Transactions on Fuzzy Systems, 7(1999), 6: 753-759.
3. Xindong Wu and Navin Boddu, HCV Deduction of C4.5 Rules, Proceedings of the ISCA 8th International Conference on Intelligent Systems, Denver, Colorado, June 24-26, 1999, 165-168.
4. Xindong Wu, Induction as Pre-Processing, Lecture Notes in Artificial Intelligence 1574: Methodologies for Knowledge Discovery and Data Mining (Proceedings of the 3rd Pacific-Asia Conference, PAKDD-99) (acceptance rate: 29/158 for regular papers), N Zhong and L Zhou (Eds), Springer-Verlag, 1999, 114-122.

1998

1. Xindong Wu, Ramamohanarao Kotagiri, and Kevin Korb (Eds), Lecture Notes in Artificial Intelligence 1394: Research and Development in Knowledge Discovery and Data Mining (Proceedings of the Second Pacific-Asia Conference, PAKDD-98), Springer-Verlag, Heidelberg, Germany, 1998. ISSN 0302-9743; ISBN 3-540-64383-4.
2. Meide Zhao, Francis K.H. Quek, and Xindong Wu, RIEVL: Recursive Induction Learning in Hand Gesture Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(1998), 11: 1174-1185.
3. Xindong Wu, Rule Induction with Extension Matrices, Journal of the American Society for Information Science, 49(1998), 5: 435-454.
4. Heng Li and Xindong Wu, Learning Design Knowledge as Generalization, Cybernetics and Systems: An International Journal, 29(1998), 2: 181-208.
5. Xindong Wu, Explicit Schematic Information in Knowledge Representation and Acquisition, Expert Systems with Applications, 15(1998), 3: 215-221.
6. Xindong Wu, Guang Fang, and Matjaz Gams, LFA+: Fast Chaining with Rule-Based Systems, Informatica: An International Journal of Computing and Informatics, 22(1998), 3: 329-349.
7. Jason Lowder and Xindong Wu, Wide Area Selection as a Hyperdocument Search Interface, Computer Networks: The International Journal of Computer and Telecommunications Networking, 30(1998), 658-659.
8. Thuy-Linh Nguyen, Xindong Wu, and A.S.M. Sajeev, Object-Oriented Modeling of Multimedia Documents, Computer Networks: The International Journal of Computer and Telecommunications Networking, 30(1998), 578-582.
9. Xindong Wu and William H.W. Lo, Multi-layer Incremental Induction, Lecture Notes in Artificial Intelligence 1531: PRICAI '98: Topics in Artificial Intelligence (5th Pacific Rim International Conference on Artificial Intelligence) (acceptance rate: 56/197), Hing-Yan Lee and Hiroshi Motoda (Eds.), Singapore, November 22-27, 1998, Springer-Verlag, 24-32.
10. Margot Postema, Heinz Schmidt, and Xindong Wu, Locating White Box Reuse via Data Mining, Proceedings of the 2nd IEEE International Conference on Intelligent Processing Systems, 4-7 August 1998, Gold Coast, Australia, 478-482.
11. Thuy-Linh Nguyen, Xindong Wu, and A.S.M. Sajeev, LifeWeb: An Object-Oriented Model for the Web, Proceedings of the 4th International Conference on Information Systems, Analysis and Synthesis, Volume 3, Orlando, Florida, USA, July 12-16, 1998, 301-308.

1997

1. Xindong Wu, Jeffrey Tsai, Niki Pissinou, and Kia Makki (Eds), Proceedings 1997 IEEE Knowledge and Data Engineering Exchange Workshop (KDEX-97), IEEE Computer Society Press, California, USA, 1997, ISBN 0-8186-8230-2.
2. Matjaz Gams, Marcin Paprzycki, and Xindong Wu (Eds), Mind versus Computer, IOS Press, Amsterdam, The Netherlands, 1997. ISBN 90-5199-357-9.
3. Stephen Ransom, Xindong Wu, and Heinz Schmidt, Disorientation and Cognitive Overhead in Hypertext Systems, International Journal on Artificial Intelligence Tools, 6(1997), 2: 227-253.
4. Honghua Dai, Kevin Korb, Chris Wallace, and Xindong Wu, A Study of Causal Discovery with Weak Links and Small Samples, Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97) (acceptance rate: 216/882), Nagoya, Japan, August 23-29, 1997, 1304-1309.
5. Daniel S.W. Ngu and Xindong Wu, SiteHelper: A Localized Agent that Helps Incremental Exploration of the World Wide Web, Proceedings of the Sixth International World Wide Web Conference (WWW6) (acceptance rate: 62/242 for regular papers), Santa Clara, California, USA, April 7-11, 1997, 691-700.
6. Margot Postema, Xindong Wu, and Tim Menzies, A Tuning Aid for Discretization in Rule Induction, Proceedings of the 1997 Pacific-Asia Conference on Knowledge Discovery and Data Mining, Singapore, 23-24 February, 1997, 79-87.
7. Xindong Wu and Xiaoya Lin, Object-Oriented Modeling of Rule-Based Programming, Proceedings of the 9th International Conference on Software Engineering and Knowledge Engineering (acceptance rate: 70/150), June 17-20, 1997, Hotel Princesa, Madrid, Spain, 479-486.
8. Kevin Cai, Xindong Wu, and Heinz Schmidt, Schedular++: Scheduling with Knowledge Objects, Proceedings of the 9th IEEE International Conference on Tools with Artificial Intelligence (acceptance rate: 54 regular papers + 12 short papers, out of 108 submissions), November 3-8, 1997, Newport Beach, California, 480-483.
9. Honghua Dai, Heinz Schmidt, Xindong Wu, and Sita Ramakrishnan, Intelligent Inference Within Objects Using Constraint Rules, Proceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, October 28-31, 1997, Beijing, China, 1067-1071.
10. Linda Xu and Xindong Wu, Interactive Acquisition of Knowledge Objects, Proceedings of the 1997 IEEE Knowledge and Data Engineering Exchange Workshop (KDEX-97) (acceptance rate: 26/53), IEEE Computer Society Press, Newport Beach, California, U.S.A., November 4, 1997, 97-105.

1996

1. Xindong Wu, A Bayesian Discretizer for Real-Valued Attributes, The Computer Journal, 39(1996), 8: 688-691.
2. Xindong Wu, Johan Krisar, and Petter Mahlen, Noise Handling with Extension Matrices, International Journal on Artificial Intelligence Tools, 5(1996), 1: 81-97.
3. David Urpani, Xindong Wu, and Jim Sykes, RATIO - Rule Induction Two in One, Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96) (acceptance rate: 42 regular papers + 30 poster papers, out of 215 submissions), August 2-4, 1996, Porland, Oregon, 339-342.
4. Xiaoya Lin and Xindong Wu, Linear Backward Chaining with Knowledge Objects, Proceedings of the 1996 International Conference on Artificial Intelligence, National Sun Yat-Sen University, Kaohsiung, Taiwan, December 19-21, 1996, 232-239.

1995

1. Xindong Wu, Knowledge Acquisition from Databases, Ablex Publishing Corp., U.S.A., 1995. ISBN 1-56750-206-7 (cloth cover); ISBN 1-56750-205-9 (paper cover).
2. Xindong Wu, Sita Ramakrishnan, and Heinz Schmidt, Knowledge Objects, Informatica: An International Journal of Computing and Informatics, 19(1995), 4: 557-571.
3. Xindong Wu and Petter Mahlen, Fuzzy Interpretation of Induction Results, Proceedings of the 1st International Conference on Knowledge Discovery and Data Mining (KDD-95) (acceptance rate: 23 regular papers + 33 poster papers, out of 133 submissions), August 20-21, 1995, Montreal, Quebec, Canada, 325-330.
4. Xindong Wu, SIKT: A Structured Interactive Knowledge Transfer Program, Proceedings of the 8th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (acceptance rate: 101/160), Melbourne, Australia, June 5-9, 1995, Gordon and Breach Publishers, 787-795.

1994

1. Xindong Wu, Lecture Notes in Machine Learning, Informatica: An International Journal of Computing and Informatics, 18(1994), 2: 197-218.
2. Xindong Wu, Rule Schema + Rule Body: A 2-Level Representation Language, International Journal of Computers and Their Applications, 1994, 1: 49-59.
3. Xindong Wu, Developing an AI Curriculum for Computer Science Majors, AXIS: The UCISA Journal of Academic Computing and Information Systems, 1994, 3: 18-23.
4. Geoff Sutcliffe and Xindong Wu, Extracting Rule Schemas from Rules for an Intelligent Learning Database System, Proceedings of the Seventh Australian Joint Conference on Artificial Intelligence (AI '94) (acceptance rate: 75/152), 1994, 132-139.
5. Guang Fang and Xindong Wu, Chaining in Rule-Based Systems, Proceedings of the Seventh Australian Joint Conference on Artificial Intelligence (AI '94) (acceptance rate: 75/152), 1994, 575-582.

1993

1. Xindong Wu, Inductive Learning: Algorithms and Frontiers, Artificial Intelligence Review, 7(1993), 2: 93-108.
2. Xindong Wu, LFA: A Linear Forward-chaining Algorithm for AI Production Systems, Expert Systems: The Journal of Knowledge Engineering, 10(1993), 4: 237-242.
3. Xindong Wu, A Prolog-Based Representation for Integrating Knowledge and Data, Informatica: An International Journal of Computing and Informatics, 17(1993), 2: 137-144.
4. Xindong Wu, The HCV Induction Algorithm, Proceedings of the 21st ACM Annual Computer Science Conference, Indiana Convention Center, Indianapolis, Indiana, February 16-18, 1993, 168-175.
5. Xindong Wu, TS: A Test-Split Algorithm for Inductive Learning (abstract refereed), Adaptive and Learning Systems II (SPIE Volume 1962), F.A. Sadjadi (Ed.), SPIE Press, U.S.A., 1993, 62-72.

1987 - 1992

1. Xindong Wu, Optimization Problems in Extension Matrices, Science in China (Series A), English edition, 35(1992), 3: 363-373; Chinese edition: 35(1992), 2: 200-207.
2. Xindong Wu, A Frame Based Architecture for Information Integration in CIMS, Journal of Computer Science and Technology, 7(1992), 4: 328-332.
3. Xindong Wu, KEshell2: An Intelligent Learning Database System, Research and Development in Expert Systems IX, M.A. Bramer and R.W. Milne (Eds.), Cambridge University Press, U.K., 1992, 253-272.
4. Xindong Wu, A Linear Forward Reasoning Algorithm Based on Knowledge Sorting, Chinese Science Bulletin, English edition, 36(1991), 1574-1577; Chinese edition: 36(1991), 3: 230-232.
5. Xindong Wu, KEshell: A ``Rule Skeleton + Rule Body" Based Knowledge Engineering Shell (abstract refereed), Applications of Artificial Intelligence IX, M.M. Trivedi (Ed.), SPIE Press, U.S.A., 1991, 632-639.
6. Xindong Wu and Diancheng Zhang, An Approach to Generation of Semantic Network from Relational Database Schema, Chinese Science Bulletin, English edition, 36(1991), 14: 1222-1225; Chinese edition: 35(1990), 21: 1674-1676.
7. Xindong Wu, On Expert Simulation Systems, Proceedings the 1990 Summer Computer Simulation Conference (Alberta, Canada), B. Svrcek and J. Mcrae (Eds.), Society of Computer Simulation Inc., U.S.A., 1990, 715-720.
8. Xindong Wu and Diancheng Zhang, A Bidirectional Reasoning Algorithm and Its Implementation, Proceedings of International Conference '89 on Expert Systems in Engineering Applications, Press of Huazhong University of Science and Technology, Wuhan, China, October 12 - 17, 1989, 57-61.
9. Fanlun Xiong and Xindong Wu, SKE-AF: A Sophisticated Knowledge-Base Editor, in: Information Technology: Advancement, Productivity and International Cooperation (Proceedings from the Third Pan Pacific Computer Conference), Volume 2, International Academic Publishers, 1989, 928-933.
10. Xindong Wu and Shenkang Deng, A S-D Simulation Model for Rural-Energy Programming, Proceedings of Beijing International Conference '89 on System Simulation and Scientific Computing, International Academic Publishers, 1989, 800-803.
11. Xindong Wu and Yan Zou, The General-Purpose Aspect of Expert Systems, Proceedings of the 1988 IEEE International Conference on Systems, Man and Cybernetics, International Academic Publishers, 1988, 828-831.
12. Xindong Wu and Diancheng Zhang, An Expert System for Multi-Objective Decision-Making - DECISION, Proceedings of International Symposium '87 on Fuzzy Systems and Knowledge Engineering, Guangzhou, China, 1987, 216-223.