Data Mining and Artificial Intelligence.

• Yi-Dong Shen and Thomas Eiter (2019) Determining Inference Semantics for Disjunctive Logic Programs. Artificial Intelligence (AIJ) 277: 1-28.
  
• Hanmo Wang, Runwu Zhou and Yi-Dong Shen (2019)  Bounding Uncertainty for Active Batch Selection.  The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19),  Honolulu, Hawaii, USA, January 2019.
  
• Peng Zhou, Yi-Dong Shen, Liang Du and Fan Ye (2019)  Incremental Multi-View Support Vector Machine.  The Nineteenth SIAM International Conference on Data Mining (SDM-19),  Calgary, Canada, May 2019.
  
• Peng Zhou, Yi-Dong Shen, Liang Du and Xuejun Li (2019)  Incremental Multi-View Spectral Clustering.  Knowledge-Based Systems (KBS),  to appear.
  
• Runwu Zhou, Xiaojun Chang, Lei Shi, Yi-Dong Shen, Yi Yang and Feiping Nie (2019) Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning. IEEE Transactions on Neural Networks and Learning Systems, to appear.
  
• Hanmo Wang, Xiaojun Chang, Lei Shi, Yi Yang and Yi-Dong Shen (2018) Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision. The Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, July 2018.
  
• Lei Shi, Wayne Xin Zhao and Yi-Dong Shen (2017)  Local Representative based Matrix Factorization for Cold Start Recommendation.  ACM Transactions on Information Systems (TOIS) 36(2) 22:1-28.
• Yi-Dong Shen and Thomas Eiter (2016)  Evaluating Epistemic Negation in Answer Set Programming. Artificial Intelligence  237: 115-135.
  
• Lian Wen, Kewen Wang, Yi-Dong Shen and Fangzhen Lin (2016)  A Model for Phase Transition of Random Answer Set Programs. ACM Transactions on Computational Logic 17 (3).
  
• Lei Shi and Yi-Dong Shen (2016)  Diversifying Convex Transductive Experimental Design for Active Learning. The Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16),  New York, USA, July 2016.
  
• Liang Du and Yi-Dong Shen (2015)  Unsupervised Feature Selection with Adaptive Structure Learning. The Twenty-First ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-15), Sydney, Australia, August 2015.
  
• Hanmo Wang, Liang Du, Lei Shi, Peng Zhou and Yi-Dong Shen (2015)  Experimental Design With Multiple Kernels. The Fifteenth IEEE International Conference on Data Mining (ICDM-15), Atlantic City, USA, November 2015. (REGULAR paper, acceptance rate 9%) 
  
• Peng Zhou, Liang Du and Yi-Dong Shen (2015) An LLE based Heterogeneous Metric Learning for Crossmedia Retrieval. The Fifteenth SIAM International Conference on Data Mining (SDM-15), Vancouver, Canada, April 2015.
  
• Peng Zhou, Liang Du, Hanmo Wang, Lei Shi and Yi-Dong Shen (2015)  Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization. The Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-15), Buenos Aires, Argentina, July 2015.
  
• Peng Zhou, Liang Du, Lei Shi, Hanmo Wang and Yi-Dong Shen (2015)  Recovery of Corrupted Multiple Kernels for Clustering.The Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-15), Buenos Aires, Argentina, July 2015.
  
• Liang Du, Lei Shi, Peng Zhou, Hanmo Wang and Yi-Dong Shen (2015)  Robust Multiple Kernel K-means.The Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-15), Buenos Aires, Argentina, July 2015.
  
• Jianfeng Du, Kewen Wang and Yi-Dong Shen (2015) Towards Tractable and Practical ABox Abduction over Inconsistent Description Logic Ontologies.The Twenty-Nineth AAAI Conference on Artificial Intelligence (AAAI-15), Austin, Texas, USA, January 2015.
  
• Hanmo Wang, Liang Du, Peng Zhou, Lei Shi and Yi-Dong Shen (2015) Convex Batch Mode Active Sampling via alpha-relative Pearson Divergence.The Twenty-Nineth AAAI Conference on Artificial Intelligence (AAAI-15), Austin, Texas, USA, January 2015.
  
• Yi-Dong Shen, Kewen Wang, Thomas Eiter, Michael Fink, Christoph Redl, Thomas Krennwallner and Jun Deng (2014) FLP Answer Set Semantics without Circular Justifications for General Logic Programs.Artificial Intelligence 213:1-41.
  
• Jianfeng Du, Kewen Wang and Yi-Dong Shen (2014) A Tractable Approach to ABox Abduction over Description Logic Ontologies.The Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), Quebec City, Canada, July 2014: 1034-1040. (ORAL presentation paper)  
  
• Lei Shi, Shuming Shi, Chin-Yew Lin, Yi-Dong Shen, Yong Rui (2014) Unsupervised Template Mining for Semantic Category Understanding.The 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP-14), Doha, Qatar, October 2014. (ORAL presentation paper) 
  
• Lei Shi, Liang Du and Yi-Dong Shen (2014) Robust Spectral Learning for Unsupervised Feature Selection.The Fourteenth IEEE International Conference on Data Mining (ICDM-14), Shenzhen, China, December 2014: 977-982.
  
• Liang Du and Yi-Dong Shen (2013) Towards Robust Co-clustering.The Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI-13), Beijing, China, August 2013: 1317-1322. (ORAL presentation paper, acceptance rate 195/1473 = 13%)
  
• Liang Du, Zhiyong Shen, Xuan Li, Peng Zhou and Yi-Dong Shen (2013) Local and Global Discriminative Learning for Unsupervised Feature Selection.The Thirteenth IEEE International Conference on Data Mining (ICDM-13), Dallas, USA, December 2013: 131-140. (REGULAR paper, acceptance rate 94/809 = 11.6%)
  
• Xuan Li, Liang Du and Yi-Dong Shen (2013) Update Summarization via Graph-Based Sentence Ranking.IEEE Transactions on Knowledge and Data Engineering 25(5): 1162-1174.
  
• Jianfeng Du, Guilin Qi and Yi-Dong Shen (2013) Weight-based Consistent Query Answering over Inconsistent SHIQ Knowledge Bases.Knowledge and Information Systems 34(2):335-371.
  
• Yi-Dong Shen and Kewen Wang (2012) FLP Semantics without Circular Justifications for General Logic Programs.The Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI-12), Toronto, Canada, July 2012: 821-827. Slides
  
• Liang Du, Xuan Li and Yi-Dong Shen (2012) Robust Nonnegative Matrix Factorization via Half-Quadratic Minimization.The Twelfth IEEE International Conference on Data Mining (ICDM-12), Brussels, Belgium, December 2012: 201-210. (REGULAR paper, acceptance rate 81/756 = 10.7%)
  
• Jianfeng Du, Guilin Qi, Yi-Dong Shen and Jeff Pan (2012) Towards Practical ABox Abduction in Large Description Logic Ontologies.International Journal on Semantic Web and Information Systems 8(2):1-33.
  
• Yisong Wang, Jia-Huai You, Li-Yan Yuan, Yi-Dong Shen and Minyi Zhang (2012) The Loop Formula Based Semantics of Description Logic Programs.Theoretical Computer Science 415:60-85.
  
• Jia-Huai You, Yi-Dong Shen and Kewen Wang (2012) Well-Supported Semantics for Logic Programs with Generalized Rules. in:Correct Reasoning - Essays on Logic-Based AI in Honour of Vladimir Lifschitz, LNCS 7265:576-591.
  
• Chenyan Xiong, T. F. Wang, W. K. Ding, Yi-Dong Shen and T. Y. Liu, (2012) Relational Click Prediction for Sponsored Search.The Fifth ACM International Conference on Web Search and Data Mining (WSDM-12), Seattle, USA, February 2012:493-502.
  
• Yi-Dong Shen and Kewen Wang (2011) Extending Logic Programs with Description Logic Expressions for the Semantic Web.The Tenth International Semantic Web Conference (ISWC-11), Bonn, Germany, October 2011:633-648. 
  
• Yi-Dong Shen (2011) Well-Supported Semantics for Description Logic Programs.The Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI-11), Barcelona, Spain, July 2011:1081-1086. (ORAL presentation paper, acceptance rate 227/1325 = 17%) 
  
• Jianfeng Du, Guilin Qi, Yi-Dong Shen and Jeff Pan (2011) Towards Practical ABox Abduction in Large OWL DL Ontologies.The Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11), San Francisco, USA, August 2011:1160-1165.
  
• Xuan Li, Liang Du and Yi-Dong Shen (2011) Graph-Based Marginal Ranking for Update Summarization.The Eleventh SIAM International Conference on Data Mining (SDM-11), Arizona, USA, April 2011:486-497.
  
• Nengfa Zhou, Yi-Dong Shen and Jia-Huai You (2011) Compiling Answer Set Programs into Event-Driven Action Rules.The Eleventh International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR-11), Vancouver, Canada, May 2011:376-381.
  
• Yisong Wang, Jia-Huai You, Li-Yan Yuan and Yi-Dong Shen (2010) Loop Formulas for Description Logic Programs.Theory and Practice of Logic Programming 10(4-6):531-545.
  
• Jun Sun, W. B. Zhao, J. W. Xue, Zhiyong Shen and Yi-Dong Shen (2010) Clustering with Feature Order Preferences.Intelligent Data Analysis14(4):479-495.
  
• Xuan Li, Yi-Dong Shen, Liang Du and Chenyan Xiong (2010) Exploiting Novelty, Coverage and Balance for Topic-Focused Multi-Document Summarization.The Nineteenth ACM International Conference on Information and Knowledge Management (CIKM-10), Toronto, Canada, October 2010:1765-1768.
  
• Zhiyong Shen, Liang Du, X. K. Shen, and Yi-Dong Shen (2010) Interval-Valued Matrix Factorization with Applications.The Tenth IEEE International Conference on Data Mining (ICDM-10), Sydney, Australia, December 2010:1037-1042.
  
• Yi-Dong Shen, Danny De Schreye and D. Voets (2009) Termination Prediction for General Logic Programs.Theory and Practice of Logic Programming9(6):751-780.
  
• Yi-Dong Shen, Jia-Huai You and Li-Yan Yuan (2009) Characterizations of Stable Model Semantics for Logic Programs with Arbitrary Constraint Atoms.Theory and Practice of Logic Programming 9(4):529-564.
  
• Jianfeng Du, Guilin Qi, Jeff Pan and Yi-Dong Shen (2009) A Decomposition-based Approach to Optimizing Conjunctive Query Answering in OWL DL.The 8th International Semantic Web Conference (ISWC-09), Washington D.C., USA, October 2009:146-162.
  
• Zhiyong Shen, P. Luo, Jun Sun and Yi-Dong Shen (2009) Topic Modeling for Sequences of Temporal Activities.The Ninth IEEE International Conference on Data Mining (ICDM-09), Florida, USA, December 2009:980-985.
  
• Jun Sun, Zhiyong Shen, Bai Su and Yi-Dong Shen (2009) Regularized Local Reconstruction for Clustering.The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09), Bangkok, Thailand, April 2009:110-121.
  
• Yi-Dong Shen and Jia-Huai You (2009) A Default Approach to Semantics of Logic Programs with Constraint Atoms.The Tenth International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR-09), Potsdam, Germany, September 2009:277-289.
  
• Yi-Dong Shen (2008) Reasoning with Recursive Loops under the PLP Framework.ACM Transactions on Computational Logic 9(4):27:1-31.
  
• Nengfa Zhou, T. Sato and Yi-Dong Shen (2008) Linear Tabling Strategies and Optimizations.Theory and Practice of Logic Programming 8(1):81-109.
  
• Jianfeng Du and Yi-Dong Shen (2008) Computing Minimum Cost Diagnoses to Repair Populated DL-based Ontologies.The Seventeenth International World Wide Web Conference (WWW-08), Beijing, China, April 2008:565-574. 
  
• Jun Sun, Zhiyong Shen, H. Li and Yi-Dong Shen (2008) Clustering Via Local Regression.The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-08), Antwerp, Belgium, September 2008:456-471.
  
• Jun Sun, W. B. Zhao, J. W. Xue, Zhiyong Shen and Yi-Dong Shen (2008) Clustering with Feature Order Preferences.The Tenth Pacific Rim International Conference on Artificial Intelligence (PRICAI-08), Hanoi, Vietnam, December 2008:382-393. (Best Student Paper Runner-Up Award)
  
• Zhiyong Shen, Jun Sun and Yi-Dong Shen (2008) Collective Latent Dirichlet Allocation.The Eighth IEEE International Conference on Data Mining (ICDM-08), Pisa, Italy, December 2008:1019-1024.
  
• Jia-Huai You, Li-Yan Yuan, Guohua Liu and Yi-Dong Shen (2007) Logic Programs with Abstract Constraints: Representation, Disjunction, and Complexities.The Ninth International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR-07), Arizona, USA, May 2007:228-240.
  
• Yi-Dong Shen and Jia-Huai You (2007) A Generalized Gelfond-Lifschitz Transformation for Logic Programs with Abstract Constraints.The Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07), Vancouver, Canada, July 2007:483-488. (This paper was selected for both oral and special poster presentations (Details), acceptance rate 47/921 = 5%).
  
• Yi-Dong Shen and Qiang Yang (2005) Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops.The Fifteenth International Conference on Inductive Logic Programming (ILP-05), Bonn, Germany, August 2005.
  
• Yi-Dong Shen, Jia-Huai You and Li-Yan Yuan (2004) Enhancing Global SLS-Resolution with Loop Cutting and Tabling Mechanisms.Theoretical Computer Science 328(3):271-287.
  
• Yi-Dong Shen, Zhiyong Shen, Shimin Zhang and Qiang Yang (2004) Cluster Cores-based Clustering for High Dimensional Data.The Fourth IEEE International Conference on Data Mining (ICDM-04), Brighton, UK, November 2004. 
  
• Nengfa Zhou, Yi-Dong Shen and T. Sato (2004) Semi-naive Evaluation in Linear Tabling.The Sixth ACM-SIGPLAN International Conference on Principles and Practice of Declarative Programming (PPDP-04), Verona, Italy, August 2004. 
  
• Yi-Dong Shen, Jia-Huai You, Li-Yan Yuan, S. P. Shen and Qiang Yang (2003) A Dynamic Approach to Characterizing Termination of General Logic Programs.ACM Transactions on Computational Logic 4(4):417-430.
  R. Chan, Qiang Yang and Yi-Dong Shen (2003) Mining High Utility Itemsets.The Third IEEE International Conference on Data Mining (ICDM-03), Florida, USA, November 2003. 
  
• Yi-Dong Shen, Qiang Yang, Zhong Zhang and Hongjun Lu (2003) Mining the Customer’s Up-To-Moment Preferences for E-Commerce Recommendation.The Seventh Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-03), Seoul, Korea, May 2003. 
  
• Yi-Dong Shen, Zhong Zhang and Qiang Yang (2002) Objective-Oriented Utility-Based Association Mining.The Second IEEE International Conference on Data Mining (ICDM-02), Maebashi City, Japan, December 2002.
  
• Yi-Dong Shen, Li-Yan Yuan, and Jia-Huai You (2002) SLT-Resolution for the Well-Founded Semantics.Journal of Automated Reasoning 28(1):53-97.
  
• Yi-Dong Shen, Li-Yan Yuan, and Jia-Huai You (2001) Loop Checks for Logic Programs with Functions.Theoretical Computer Science 266(1-2):441-461.
  
• Yi-Dong Shen, Li-Yan Yuan, Jia-Huai You and Nengfa Zhou (2001) Tabulated Resolution Based on Prolog Control Strategy.Theory and Practice of Logic Programming 1(1):71-103.
  
• Nengfa Zhou, Yi-Dong Shen, Li-Yan Yuan and Jia-Huai You (2001) Implementation of Linear-Tabling Mechanisms.Journal of Functional and Logic Programming 2001(10):1-17.
  
• Yi-Dong Shen, Li-Yan Yuan, Jia-Huai You and Nengfa Zhou (1999) Linear Tabulated Resolution for the Well-Founded Semantics.The Fifth International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR-99), Texas, USA, December 1999.
  
• Yi-Dong Shen (1997) An Extended Variant of Atoms Loop Check for Positive Logic Programs.New Generation Computing 15(2):187-204.
  
• Yi-Dong Shen (1996) Verifying Local Stratifiability of Logic Programs and Databases II.New Generation Computing 14(3):317-341.
• Yi-Dong Shen (1992) Verifying Local Stratifiability of Logic Programs and Databases.New Generation Computing 11(1):23-46.
  
  Book: 
  Fu Tong and Yi-Dong Shen (1992) Knowledge Engineering. China Science Press, Beijing (in Chinese).