Bing Liu's Publications (Not Up-To-Date)

Topics (chronological listing)

Web content mining, text mining and cleaning

  1. Xiaowen Ding, Bing Liu and Philip S. Yu. "A Holistic Lexicon-Based Appraoch to Opinion Mining." To appear in Proceedings of First ACM International Conference on Web Search and Data Mining (WSDM-2008), Feb 11-12, 2008, Stanford University, Stanford, California, USA. [Ready Soon]

  2. Nitin Jindal and Bing Liu. "Opinion Spam and Analysis." To appear in Proceedings of First ACM International Conference on Web Search and Data Mining(WSDM-2008), Feb 11-12, 2008, Stanford University, Stanford, California, USA. [Ready Soon]

  3. Yanhong Zhai and Bing Liu. "Structured Data Extraction from the Web based on Partial Tree Alignment" Accetped for publication in IEEE Transactions on Knowledge and Data Engineering, 2006. [PDF]

  4. Nitin Jindal and Bing Liu. "Identifying Comparative Sentences in Text Documents" To appear in Proceedings of the 29th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR-06), Seattle 2006. [PDF]

  5. Nitin Jindal and Bing Liu. "Mining Comprative Sentences and Relations." To appear in Proceedings of 21st National Conference on Artificial Intellgience (AAAI-2006), July 16.20, 2006, Boston, Massachusetts, USA. [PDF]

  6. Minqing Hu and Bing Liu. "Opinion Extraction and Summarization on the Web." To appear in Proceedings of 21st National Conference on Artificial Intellgience (AAAI-2006, Nectar paper), July 16.20, 2006, Boston, Massachusetts, USA. [ready soon]

  7. Yanhong Zhai and Bing Liu. "Automatic Wrapper Generation Using Tree Matching and Partial Tree Alignment." To appear in Proceedings of 21st National Conference on Artificial Intellgience (AAAI-2006, Nectar paper), July 16.20, 2006, Boston, Massachusetts, USA. [ready soon]

  8. Yanhong Zhai and Bing Liu. "Extracting Web Data Using Instance-Based Learning." Proceedings of 6th International Conference on Web Information Systems Engineering (WISE-05), 2005. [PDF] - best paper award

  9. Bing Liu and Yanhong Zhai. "NET - A System for Extracting Web Data from Flat and Nested Data Records." Proceedings of 6th International Conference on Web Information Systems Engineering (WISE-05), 2005. [PDF]

  10. Philip S. Yu, Xin Li, Bing Liu. "Adding the Temporal Dimension to Search - A Case Study in Publication Search" To appear in IEEE/WIC/ACM International Conference on Web Intelligence (WI-05), September 19-22, 2005, Compiepne, France. [PDF]

  11. Leonardo Rigutini, Marco Maggini, and Bing Liu. "An EM based training algorithm for Cross-Language Text Categorization" To appear in IEEE/WIC/ACM International Conference on Web Intelligence (WI-05), September 19-22, 2005, Compiepne, France. [PDF]

  12. Yanhong Zhai, and Bing Liu. "Web Data Extraction Based on Partial Tree Alignment" To appear in Proceedings of the 14th international World Wide Web conference (WWW-2005), May 10-14, 2005, in Chiba, Japan. [PDF]

  13. Bing Liu, Minqing Hu and Junsheng Cheng. "Opinion Observer: Analyzing and Comparing Opinions on the Web" To appear in Proceedings of the 14th international World Wide Web conference (WWW-2005), May 10-14, 2005, in Chiba, Japan. [PDF]

  14. Bing Liu and Kevin C. C. Chang. "Editorial: Special Issue on Web Content Mining" SIGKDD Explorations sepcial issue on Web Content Mining, Dec, 2004. [PDF ] [Special Issue is here].

  15. Minqing Hu and Bing Liu. "Mining and summarizing customer reviews". To appear in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2004, full paper), Seattle, Washington, USA, Aug 22-25, 2004. [PDF]. Send us an email if you want the datasets.

  16. Bing Liu, Robert Grossman and Yanhong Zhai. "Mining Web Pages for Data Records," Accepted by: IEEE Intelligent Systems special issue on Mining the Web for Actionable Knowledge, 2004.

  17. Minqing Hu and Bing Liu. "Mining Opinion Features in Customer Reviews." To appear in Proceedings of Nineteeth National Conference on Artificial Intellgience (AAAI-2004), San Jose, USA, July 2004. [PDF]

  18. Philip S. Yu, Xin Li, and Bing Liu. "On the Temporal Dimension of Search", WWW-2004 poster paper. [PDF]

  19. Lan Yi, Bing Liu, and Xiaoli Li. "Eliminating Noisy Information in Web Pages for Data Mining." To appear Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2003), Washington, DC, USA, August 24 - 27, 2003. [PDF]

  20. Bing Liu, Robert Grossman, Yanhong Zhai. "Mining Data Records in Web Pages." To appear in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2003), Washington, DC, USA, August 24 - 27, 2003. [PDF- conference version] [Full version] [MDR system]

  21. Lan Yi, Bing Liu. "Web Page Cleaning for Web Mining through Feature Weighting" To appear in Proceedings of Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03), Aug 9-15, 2003, Acapulco, Mexico, [PDF].

  22. Bing Liu, Chee Wee Chin, Hwee Tou Ng. "Mining Topic-Specific Concepts and Definitions on the Web." To appear in Proceedings of the twelfth international World Wide Web conference (WWW-2003), 20-24 May 2003, Budapest, HUNGARY. [PDF]

  23. Bing Liu, Yiming Ma and Philip S. Yu. "Discovering Business Intellgience Information by Comparing Company Web Sites." In Web Intelligence, (eds) Ning Zhong, Jiming Liu abd Yiyu Yao, 2003, Springer.

  24. Bing Liu, Kaidi Zhao, and Lan Yi. "Visualizing Web site comparisons." Proceedings of the Eleventh International World Wide Web Conference (WWW-2002). Honolulu, Hawaii, USA 7-11 May 2002. [PDF]

  25. Xiaoli Li, Bing Liu, Ton-Heng Phang, Minqing Hu, "Using Micro Information Unit for Internet Search," ACM CIKM-2002, McLean, VA, Nov 5-9, 2002. [ReadySoon]

  26. Xiaoli Li, Bing Liu, Tong-Heng Phang, and Minqing Hu. "Web Search Based on Micro Information Units." WWW-2002 (poster), Honolulu, Hawaii, USA 7-11 May 2002. [ready soon]

  27. Bing Liu, and Chee-Wee Chin. "Searching people on the Web according to their interests." WWW-2002 (poster), Honolulu, Hawaii, USA 7-11 May 2002. [ready soon]

  28. Bing Liu, Yiming Ma, Philip S. Yu. "Discovering Unexpected Information from Your Competitors' Web Sites." Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2001, full paper), San Francisco, CA; Aug 20-23, 2001 [Postscript]

Learning from positive and unlabeled examples (no negative examples)

  1. Xiaoli Li, Bing Liu and See-Kiong Ng. "Learning to Identify Unexpected Instances in the Test Set," To appear in Proceedings of Twenth International Joint Conference on Artificial Intelligence (IJCAI-07), 2007. [PDF]

  2. Xiaoli Li, Bing Liu. "Learning from Positive and Unlabeled Examples with Different Data Distributions." To appear in European Conference on Machine Learning (ECML-05), [PDF]

  3. Bing Liu, Xiaoli Li, Wee Sun Lee and Philip S. Yu. "Text Classification by Labeling Words" To appear in Proceedings of Nineteeth National Conference on Artificial Intellgience (AAAI-2004), San Jose, USA, July 2004. [PDF]

  4. Xiaoli Li, and Bing Liu. "Dealing with Different Distributions in Learning from Positive and Unlabeled Web Data." WWW-2004 poster paper. [PDF]

  5. Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu. "Semi-supervised Text Classification Using Partitioned EM." DASFAA 2004: 482-493. [PDF]

  6. Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee and and Philip Yu. "Building Text Classifiers Using Positive and Unlabeled Examples." To appear in Proceedings of the Third IEEE International Conference on Data Mining (ICDM'03), Melbourne, Florida, November 19-22, 2003. [PDF]

  7. Wee Sun Lee, Bing Liu. "Learning with Positive and Unlabeled Examples using Weighted Logistic Regression." To appear in Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003), August 21-24, 2003, Washington, DC USA. [PDF]

  8. Xiaoli Li and Bing Liu. "Learning to classify text using positive and unlabeled data." To appear in Proceedings of Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03), Aug 9-15, 2003, Acapulco, Mexico, [PDF].

  9. Bing Liu, Wee Sun Lee, Philip S Yu and Xiaoli Li. "Partially Supervised Classification of Text Documents." Proceedings of the Nineteenth International Conference on Machine Learning (ICML-2002), 8-12, July 2002, Sydney, Australia. [PostScript] [Full Paper]

  10. Haoran Wu, Tong-Heng Pang, Bing Liu, Xiaoli Li. "A Refinement Approach to Handling Model Misfit in Text Categorization," Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2002, full paper), Edmonton, Canada, July 23-26, 2002. [PDF]

Bioinformatics

  1. Robert Grossman, Pavan Kasturi, Donald Hamelberg, and Bing Liu. "An Empirical Study of the Universal Chemical Key Algorithm for Assigning Unique Keys to Chemical Compounds." Accepted by: Journal of Bioinformatics and Computational Biology, 2003.

  2. Robert Grossman, Donald Hamelberg, Pavan Kasturi, Bing Liu. "Experimental Studies of the Universal Chemical Key (UCK) Algorithm on the NCI Database of Chemical Compounds." To appear in IEEE Computer Society Bioinformatics Conference (CSB-2003), Stanford University, Standford, CA, August 11-14, 2003. [PDF]

Association Rules Based Classification and Scoring (Classification Based on Associations and Scoring)

  1. Bing Liu, Yiming Ma, Ching-Kian Wong, and Philip S. Yu. "Scoring the Data Using Association Rules." Applied Intelligence, Vol 18, No. 2, 119-135, 2003. [PDF].

  2. Bing Liu, Yiming Ma, C-K Wong, "Classification Using Association Rules: Weaknesses and Enhancements." In Vipin Kumar, et al, (eds), Data mining for scientific applications, 2001. [Postscript]

  3. Bing Liu, Yiming Ma, and Ching-Kian Wong, "Improving an exhaustive search based rule learner" Proceedings of the Fourth European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-2000), September 13-16, 2000, Lyon, France. [Postscript]

  4. Bing Liu, Wynne Hsu, Yiming Ma, "Integrating Classification and Association Rule Mining." Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98, full paper), New York, USA, 1998. [PostScript] [Slides] [You can download the system CBA from here]

Association Rule Mining (Multiple Minimum Support Constraints)

  1. Gao Cong, Bing Liu. "Speed-up Iterative Frequent Itemset Mining with Constraint Changes" ICDM-2002, Maebashi, Japan, December 9-12, 2002. [PDF]

  2. Gao Cong, Lan Yi, Bing Liu and Ke Wang. "Discovering frequent substructures from hierarchical semi-structured data." in the Second SIAM International Conference on Data Mining (SDM-2002), April 11-13, 2002, Hyatt Regency, Crystal City, Arlington, VA, USA. [Ready soon]

  3. Bing Liu, Wynne Hsu, Yiming Ma, "Mining Association Rules with Multiple Minimum Supports" Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-99), August 15-18, 1999, San Diego, CA, USA. [Postscript]

  4. Ke Wang, W. Tay, Bing Liu, "An Interestingness-Based Interval Merger for Numeric Association Rules," Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98, full paper), New York, USA, 1998. [Postscript]

Holes, clusters, outliers and anomalies discovery in Data

  1. Bing Liu, Yiyuan Xia, Phlip S. Yu. "Clustering through decision tree construction." Processings of 2000 ACM CIKM International Conference on Information and Knowledge Management (ACM CIKM-2000), Washington, DC, USA, November 6-11, 2000. [Postscript]. [IBM Research Report available here], [Slides of the talk given in the Scienctific Data Mining Workshop in Minneasota].

  2. Bing Liu, Ke Wang, Lai-Fun Mun and Xin-Zhi Qi, "Using Decision Tree Induction for Discovering Holes in Data," Pacific Rim International Conference on Artificial Intelligence (PRICAI-98), 1998. [Postscript]

  3. Ke Wang, Xu Chu and Bing Liu, "Clustering Transactions Using Large Items," ACM CIKM-99 , 1999, USA [ReadySoon]

  4. Bing Liu, Liang-Ping Ku and Wynne Hsu, "Discovering Interesting Holes in Data," Proceedings of Fifteenth International Joint Conference on Artificial Intelligence (IJCAI-97), pp. 930-935, August 23-29, 1997, Nagoya, Japan. [PostScript]

  5. Liang-Ping Ku, Bing Liu and Wynne Hsu, "Discovering Large Empty Maximal Hyper-rectangles in Multi-dimensional Space," Technical Report, Department of Information Systems and Computer Science (DCOMP), National University of Singapore, 1997. [PostScript]

Interestingness in Data Mining

Subjective Interestingness of Data Mining

  1. Bing Liu, Kaidi Zhao, Jeffrey Benkler and Weimin Xiao. "Rule Interestingness Analysis Using OLAP Operations." To appear in Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2006, full paper), August 20 - 23, 2006, Philadelphia, USA. [ready soon].

  2. Kaidi Zhao, Bing Liu, Jeffrey Benkler and Weimin Xiao. "Opportunity Map: Identifying Causes of Failure - A Deployed Data Mining System." To appear in Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2006, industrial track full paper), August 20 - 23, 2006, Philadelphia, USA. [ready soon].

  3. Bing Liu, Yiming Ma and Ronnie Lee. "Analyzing the interestingness of association rules from the temporal dimension." IEEE International Conference on Data Mining (ICDM-2001), Nov 29 - Dec 2, 2001, Silicon Valley, CA. [Postscript].

  4. Shu Chen, Bing Liu. "Generating Classification Rules According to User's Existing Knowledge," Appeared in Proceedings of the SIAM International Conference on Data Mining (SDM-01), April 5-7, Chicago, 2001. [Ready soon]

  5. Bing Liu, Wynne Hsu, Yiming Ma. "Identifying Non-Actionable Association Rules." Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2001), San Francisco, CA; Aug 20-23, 2001 [Postscript]

  6. Bing Liu, Wynne Hsu, Shu Chen and Yiming Ma, "Analyzing the Subjective Interestingness of Association Rules," IEEE Intellgent Systems, 2000. [Postscript]

  7. Bing Liu, Wynne Hsu, Lai-Fun Mun and Hingyan Lee, "Finding Interesting Patterns Using User Expectations," IEEE Transactions on Knowledge and Data Engineering, Vol 11(6), pp. 817-832, 1999. [Ready_Soon]

  8. Bing Liu, Wynne Hsu, Ke Wang, Shu Chen, "Visually Aided Exploration of Interesting Association Rules" Proceedings of the Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD-99), Beijing, April 26-28, 1999. [Postscript]

  9. Bing Liu & Hsu, Wynne, "Previously discovered knowledge," INVITED PAPER for Oxford University Press's forthcoming Handbook on Data Mining and Knowledge Discovery, to appear in 1999.

  10. Bing Liu & Hsu, Wynne, "User preferences," INVITED PAPER for Oxford University Press's forthcoming Handbook on Data Mining and Knowledge Discovery , to appear in 1999.

  11. Bing Liu, Wynne Hsu and Shu Chen, "Using General Impressions to Analyze Discovered Classification Rules," Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97, full paper), pp. 31-36, August 14-17, 1997, Newport Beach, California, USA. [PostScript]

  12. Bing Liu, Wynne Hsu and Shu Chen, "Discovering Conforming and Unexpected Classification Rules," IJCAI-97 Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-97), August 23-29, 1997, Nagoya, Japan. [PostScript]

  13. Bing Liu, Wynne Hsu, Lai-Fun Mun and Hing-Yan Lee, "Identifying Interesting Missing Patterns," Proceedings of 1st Pacific Asia International Conference on Knowledge Discovery and Data Mining (PAKDD-97), Singapore, Feb, 1997. [PostScript]

  14. Bing Liu and Wynne Hsu, "Post-Analysis of Learned Rules," Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96), Aug 4-8, 1996, Portland, Oregon, USA, pp. 828-834. [PostScript]

  15. Bing Liu, Wynne Hsu, Hing-Yan Lee and Lai-Fun Mun, "Tuple-Level Analysis For Identification of Interesting Patterns," Technical report, TRA5/96, Department of Information Systems and Computer Science, National University of Singapore, 1996. [PostScript]

  16. Bing Liu, Wynne Hsu, Lai-Fun Mun and Hing-Yan Lee, "Finding Interesting Patterns Using User Expectations," Technical report, TRA7/96, Department of Information Systems and Computer Science, National University of Singapore, 1996. [PostScript]

Rules and Knowledge Summarizations and Organization

  1. Bing Liu, Minqing Hu, and Wynne Hsu, "Multi-level organization and summarization of the discovered rules," Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2000, full paper), Aug, 2000, Boston, USA. [Postscript]

  2. Yiming Ma, Bing Liu and Ching Kian Wong, "Web for Data Mining: Organizing and Interpreting the Discovered Rules Using the Web." SIGKDD Explorations, Volume 2, Issue 1, 2000. [Postscript].

  3. Bing Liu, Yiming Ma and Ching Kian Wong. "Web for Data Mining Applications". Processings of the 24th IEEE International Computer Software and Applications Conference (Compsac-2000), Oct 25-27 2000, Taipei. [Invited Panel Position Paper]

  4. Bing Liu, Minqing Hu, and Wynne Hsu, "Intuitive representation of decision trees using general rules and exceptions." Proceedings of Seventeeth National Conference on Artificial Intellgience (AAAI-2000), July 30 - Aug 3, 2000, Austin, Texas, USA [Postscript]

  5. Bing Liu, Wynne Hsu, Yiming Ma, "Pruning and Summarizing the Discovered Associations" Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-99, full paper), August 15-18, 1999, San Diego, CA, USA. [Postscript]

Model Management and Rule Query Language

  1. Bing Liu and Alexander Tuzhilin. "Managing and Analyzing Large Collections of Data Mining Models." Accepted for publication in Comminications of ACM, 2006.

  2. Alex Tuzhilin and Bing Liu. "Querying multiple sets of discovered rules." Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2002, full paper), Edmonton, Canada, July 23-26, 2002. [PDF]

Change Mining

  1. Bing Liu, Wynne Hsu, Yiming Ma. "Discovering the Set of Fundamental Rule Changes." Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2001), San Francisco, CA; Aug 20-23, 2001 [Postscript]

  2. Bing Liu, Wynne Hsu, Heng-Siaw Han and Yiyuan Xia. "Mining changes for real-life applications." the 2nd international conference on data warehousing and knowledge discovery (DaWaK-2000), Sept 4-6 2000, London Greenwich, UK. [Postscript]

Data Mining Applications

  1. Chidanand Apte, Bing Liu, Edwin P. D. Pednault, Padhraic Smyth, "Business applications of data mining" Communications of ACM, Vol 45(8), pp. 49-53, 2002 (special issue on data mining).

  2. Yiming Ma, Bing Liu, Ching Kian Wong, P. S. Yu, and S. M Lee. "Targeting the Right Students Using Data Mining." Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2000, Industry Track), Aug, 2000, Boston, USA. [PDF]

  3. Yiming Ma, Ching Kian Wong, and Bing Liu. "Effective Browsing of the Discovered Association Rules Using the Web." ACM SIGKDD-2000 workshop on Post-Processing in Machine Learning and Data Mining, Aug, 2000, Boston, USA. [Postscript]

  4. Wynne Hsu, Mong Li Lee, Bing Liu, Tok Wang Ling "Exploration Mining in Diabetic Patients Databases: Findings and Conclusions." Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2000, Industry Track), Aug, 2000, Boston, USA. [PDF]

  5. Bing Liu, Wynne Hsu, Yiming Ma, Shu Chen, "Discovering Interesting Knowledge using DM-II" Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-99), Industrial Track, August 15-18, 1999, San Diego, CA, USA. [Postscript]

Sampling

  1. Baohua Gu, Bing Liu, Feifant Hu, Huan Liu. "Efficiently Determining the Starting Sample Size for Progressive Sampling." Proceedings of 12th European Conference on Machine Learning (ECML-2001), September 3-7, 2001, Freiburg, Germany.[Ready soon, an improved and longer version of the paper in the DMKD-2001 workshop below]

  2. Baohua Gu, Bing Liu, Feifant Hu, Huan Liu. "Efficiently Determine the Starting Sample Size for Progressive Sampling." Proceedings of the ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD-2001), Sa nta Barbara, CA -- May 20th, 2001 [Postscript]

Visual data mining

  1. Kaidi Zhao, Bing Liu, Tom Tirpak, Andreas Schaller. "V-Miner: Using Enhanced Parallel Coordinates to Mine Product Design and Test Data." To appear in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2004, full paper in Industrial Track), Seattle, Washington, USA, Aug 22-25, 2004. [PDF]

  2. Kaidi Zhao, Bing Liu, Thomas M. Tirpak, and Andeas Schaller. "Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization." To appear in Proceedings of the Third IEEE International Conference on Data Mining (ICDM'03), Melbourne, Florida, November 19-22, 2003. (Industrial track) [PDF]

  3. Kaidi Zhao, Bing Liu. "Visual Analysis of The Behavior of Discovered Rules." Workshop Notes in ACM SIGKDD-2001 Workshop on Visual Data Mining, San Francisco, CA; Aug 20, 2001 [PDF]

Discretization

  1. Ke Wang and Bing Liu, "Concurrent discretization of multiple attributes," Pacific Rim International Conference on Artificial Intelligence (PRICAI-98), 1998. [Postscript]

Constraint Satisfaction and Scheduling

  1. Bing Liu and Joxan Jaffar, "Using Constraints to Model Disjunctions in Rule-Based Reasoning," Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96), Aug 4-8, 1996, Portland, Oregon, USA, pp. 1248-1255. [PostScript]

  2. Bing Liu, "An Improved Generic Arc Consistency Algorithm and Its Specializations," Proceedings of the Fourth Pacific Rim International Conference on Artificial Intelligence (PRICAI-96), Aug 26-30, 1996, Cairns, Australia, pp. 264-275. [PostScript]

  3. Bing Liu, "Increasing Functional Constraints Need to be Checked Only Once," Proceedings of Fourteenth International Joint Conference on Artificial Intelligence (IJCAI-95), pp. 586-591, 1995. [PostScript]

  4. Bing Liu, "An Unified Framework for Consistency Check," International Journal of Intelligent Systems, 1995, pp. 691-714.

  5. Bing Liu, "A Refinement Approach to Search and Constraint Satisfaction" Proceedings of The Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA95), Melbourne, Australia, June 5- 9, 1995.

  6. Bing Liu, "Integrating Rules and Constraints," Proceedings of the 6th IEEE International Conference on Tools with Artificial Intelligence (TAI-94), November 6-9, 1994, New Orleans, United States, 1994.

  7. Bing Liu, "Specific Constraint Handling in Constraint Satisfaction Problems," International Journal on Artificial Intelligence Tools, Vol. 3, No. 1, (1994), pp. 79-96.

  8. Bing Liu, "A General Framework For Arc Consistency and Its Related Techniques," Proceedings of the 3rd Pacific Rim International Conference on Artifficial Intelligence (PRICAI-94), August 16-18, 1994, Beijing, China, 1994.

  9. Bing Liu, & Wong, Siew-Churn., "Scheduling, Constraint Satisfaction Problems and Constraint Programming Languages," Proceedings of 2nd World Congress on Expert Systems, pp. 250-256, Portugal, 1994.

  10. Bing Liu, "Problem Acquisition in Scheduling Domains," Expert Systems with applications: An International Journal, Vol. 6, No. 3 (1993), pp. 257-265.

  11. Bing Liu, "Knowledge-Based Factory Scheduling," Expert Systems with Applications: An International Journal, Vol. 6, No. 3 (1993), pp. 349-359.

  12. Bing Liu, "Controlling Backtracking in Constraint Programming Languages," Proceedings of 6th International Symposium on Artificial Intelligence, Mexico, 1993.

  13. Bing Liu, "Scheduling via reinforcement," International Journal for Al in Engineering, Vol. 3, No. 2 (1988), pp. 76-85.

  14. Bing Liu, "A Reinforcement Approach to Scheduling," Proceeding of the 8th European Conference on Artificial Intelligence (ECAI-88), pp. 580-585, Germany, 1988.

Route finding

  1. Bing Liu, "Route Finding by Using Knowledge about the Road Networks," IEEE Transactions on Systems, Man and Cybernetics,Vol. 27, number 4, July 1997. [Ready_Soon]

  2. Bing Liu, "Intelligent Route Finding: Combining Knowledge, Cases and An Efficient Search Algorithm," Proceedings of the 12th European Conference on Artificial Intelligence (ECAI-96), Aug 12-16, 1996, Budapest, Hungary, pp. 380-384. [PostScript]

  3. Bing Liu, "Using Knowledge To Isolate Search in Route Finding," Proceedings of Fourteenth International Joint Conference on Artificial Intelligence (IJCAI-95), pp. 119-124, 1995. [PostScript]

  4. Bing Liu, and Jimmy Tay, "Using Knowledge about the Road Network for Route Finding," Proceedings of The Eleventh IEEE Conference on Artificial Intelligence for Applications (CAIA-95), LA, United States, 1995.

  5. Bing Liu, "Intelligent Air Travel and Tourist Information Systems," Proceedings of The Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA95), Melbourne, Australia, June 5-9, 1995.

  6. Bing Liu, et. al, "Finding the Shourtest Route Using Cases, Knowledge, and Dijkstra's Algorithm," IEEE Expert , Vol. 9 No. 5, 1994, pp. 7-11.

  7. Bing Liu, et al, "Integrating Knowledge-based Approach, Case-Based Reasoning and Dijkstra Algorithm for Routing Finding," Proceedings of The Tenth IEEE Conference on Artificial Intelligence for Applications (CAIA-94), pp. 149-155, United States, 1994 .