Publication

Journal Paper

  • T. Liang, L. Chen, J. Wu, G. Xu, Z. Wu. SMS: A Framework for Service Discovery by Incorporating Social Media Information, IEEE Transaction on Service Computing (accepted in Nov 2016)
  • L. Hu, L. Cao, J. Cao, Z. Gu, G. Xu, D. Yang, Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains. ACM Trans. Inf. Syst. 35(2): 13:1-13:37 (2016)
  • Z.Wu, G. Xu, and E. Chen, Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation, IEEE Transaction on Service Computing, (Accepted in May 2016)
  • Y. Xun, R. Paulet, E. bertino, G. Xu, Private Cell Retrieval from Data Warehouses, IEEE Transactions on Information Forensics & Security, (Accepted in Jan 2016)
  • S. Deng, L Huang, G. Xu, X. Wu, and Z. Wu, On Deep Learning for Trust-aware Recommendations in Social Networks, IEEE Transaction on Neural Network and Learning Systems (Accepted in Dec 2015)
  • G. Xu, B. Fu, and Y. Gu, Point-Of-Interest Recommendations via Supervised Random Walk, IEEE Intelligent Systems , 31(1): 15-23, 2016
  • Z. Zhang, Y. Liu, G. Xu, and G. Luo, Recommendation using DMF-based fine tuning method, J Intell Inf Syst DOI 10.1007/s10844-016-0407-6, 2016
  • X. Li, G. Xu, E. Chen, Y. Zong, Learning recency based comparative choice towards point-of-interest recommendation. Expert Syst. Appl. 42(9): 4274-4283, 2015
  • F. Li, G. Xu, L. Cao, Two-level matrix factorization for recommender systems, Neural Computing And Applications (Published online in September 2015)
  • S. Deng, D Wang, X Li, and G. Xu, Exploring User Emotion in Microblogs for Music Recommendation, Expert Syst. Appl. (accepted in August 2015)
  • Y. Li, Y. Li, and G. Xu, Protecting Private Geosocial Networks Against Practical Hybrid Attacks With Heterogeneous Information, Neurocomputing (accepted in Sep 2015)
  • Z. Wu J. Shi, C. Lu, E. Chen, G. Xu, G. Li, S. Xie, P. S. Yu, Constructing plausible innocuous pseudo queries to protect user query intention, Information Sciences, Volume 325,  215–226, 2015
  • G. Xu and Z. Wu, Group Recommendation and Behavior, IEEE Intelligent Systems, 29(4), 2014 (SCI Impact Factor: 1.92)
  • S. Deng, L. Huang, G. Xu. Socialnetwork-based service recommendation with trust enhancement. Expert Syst. Appl. 41(18): 8075-8084, 2014
  • G. Xu, Z. Wu, E. Chen, Improving Contextual Semantic Matching by Using Wikipedia Thesaurus Knowledge, Knowledge and Information Systems (accepted), 2014
  • B. Fu, Z. Wang, G. Xu, L. Cao, Multi-label learning based on iterative label propagation over graph, Pattern Recognition Letters, 42: 85-90, 2014 (ERA B)
  • G. Xu, Y. Zong, P. Jin, R. Pan, Z. Wu, KIPTC: A Kernel Information Propagation Tag Clustering Algorithm, International Journal of Intelligent Information System (accepted), 2013
  • Z. Wu, G. Xu, C. Lu, E. Chen, Y. Zhang and H. Zhang, Position-wise contextual advertising: Placing relevant ads at appropriate positions of a web page, Neurocomputing (accepted), 2013
  • Y. Gu, Z. Yang, G. Xu, M. Nakano, M. Kitsuregawa, Exploration on Efficient Similar Sentences Extraction, World Wide Web Journal (ERA A Journal, accepted in Nov 2012, DOI: 10.1007/s11280-012-0195-z)
  • F. Durao, K. Bayyapu, G. Xu, P. Dolog and R. Lage, Expanding User's Query with Tag-Neighbors for Effective Medical Information Retrieval, Multimedia Tools and Applications (DOI: 10.1007/s11042-012-1316-5, available online in December 2012, ERA B Journal)
  • L. Li, L. Zhong G. Xu and M. Kitsuregawa, A Feature-free Search Query Classification Approach Using Semantic Distance, Expert Systems with Applications An International Journal, Volume 16, Issue 3, pp 273-297, 2013 (ERA A)
  • L. Li, G. Xu, Z. Yang Y. Zhang and M. Kitsuregawa, An Efficient Approach to Suggesting Topically Related Web Queries Using Hidden Topic Model, World Wide Web Journal, 2012, DOI 10.1007/s11280-011-0151-3, (ERA A)
  • Z. Wu, G. Xu, P. Dolog and Y. Zhang, An Improved Contextual Advertising Matching Approach based on Wikipedia Knowledge, the Computer Journal, 55(3): 277-292, 2012   (ERA A*)
  • Z. Wu, G. Xu, Z. Yu, X. Yi, E. Chen, Y. Zhang, Executing SQL Queries over Encrypted Character Strings in the Database-As-Service Model, Knowledge-based Systems, 2012
  • Z. Wu, G. Xu, Y. Zhang, Z. Cao, C. Lu and Z. Hu, GMQL: A GraphicalMultimedia Query Language, Knowledge-based Systems Journal, 26(2012), Pages 135-143, 2012 (ERA B)
  • Y. Zong, G. Xu, P. Jin, Y. Zhang and E. Chen, HC_AB: A New Heuristic Clustering Algorithm based on Approximate Backbone, Information Processing Letter, Volume 111, Issue 17, Pages 857-863, 2011  (ERA B)
  • L. Li, G. Xu, Y. Zhang and M. Kitsuregawa, Random Walk based Rank Aggregation to Improving Web Search, Knowledge-based Systems, Volume 24, Issue 7, Pages 943-951, 2011  (ERA B)
  • G. Xu, L. Li, Y. Zhang, X. Yi and M. Kitsuregawa, Modeling User Hidden Navigational Behavior for Web Recommendation, Web Intelligence and Agent Systems: An International Journal,  Vol.9, No.3, 2011
  • Y. Zong, G. Xu, Y. Zhang, H. Jiang and M. Li, A Robust Iterative Refinement Clustering Algorithm with Smoothing Search Space, Knowledge-Based Systems, 23 (2010) 389–396, 2010 (ERA B)
  • J. Thongkam, G. Xu, Y. Zhang and F. Huang, Toward Breast Cancer Survivability Prediction Models through Improving Training Space, Expert System with Applications, 36(10): 12200-12209 (2009), 2009 (ERA B)
  • Y. Zhang and G. Xu*, On Web Communities Mining and Recommendation, Concurrency and Computation: Practice and Experience, p 561-582, Volume 21 Issue 5, 2008 (ERA A)
  • W. Liu, L. Gao, Q. Zhang, G. Xu, X. Zhu, X. Liu and J. Xu, “A Random Walk DNA Algorithm for the 3-SAT Problem”, Current Nanoscience, pp.83-87, No. 1,Volume 1, 2005 (ERA B)

Conference Paper

  • L. Li, G. Xu, Co-training an Improved Recurrent Neural Network with Probability Statistic Models for Named Entity Recognition, Industry Paper, to appear in the 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017), March 27-30, 2017, Suzhou, China
  • J. Guo, Y. Bin, Z. Yang, G.Xu, An Enhanced Convolutional Neural Network Model for Answer Selection, Poster, to appear in 26th International World Wide Web Conference (WWW 2017), 2-7 April, 2017, Perth Australia.
  • Z. Zhou, G. Xu, W. Zhu, J. Li, W. Zhang, Structure Embedding for Knowledge Base Completion and Analytics, to appear in the 2017 International Joint Conference (IJCNN 2017), Anchorage, Alaska, USA, May 14–19, 2017.
  • D. Wang, G.g Xu and S. Deng, Music Recommendation via Heterogeneous Information Graph Embedding, to appear in the 2017 International Joint Conference (IJCNN 2017), Anchorage, Alaska, USA, May 14–19, 2017.
  • Y. Han, Y. Wan, L. Chen, G.Xu, Jian Wu, Exploiting Geographical Location for Team Formation in Social Coding Sites, to appear in The 2017 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), 23-26 May, 2017, Jeju, South Korea
  • Runze Wu, Guandong Xu, Enhong Chen, Qi Liu, Wan Ng, Knowledge or Gaming? Cognitive Modelling Based on Multiple-Attempt Response, The 26th International World Wide Web Conference (WWW'2017), accepted, Perth, Australia, April 3–7, 2017.
  • D. Wang, S. Deng, S. Liu, G. Xu, Improving Music Recommendation Using Distributed Representation. WWW (Companion Volume) 2016: 125-126
  • Y. Chen, X. Li, L. Li,G. Liu, G. Xu, Modeling User Mobility via User Psychological and Geographical Behaviors Towards Point of-Interest Recommendation. DASFAA (1) 2016: 364-380 (ERA A)
  • X. Li, G Xu, E. Chen, and L. Xin, Learning User Preferences across Multiple Aspects for Merchant Recommendation, to be in the Proceedings of the 2015 International Conference on Data Mining (ICDM 2015), 14-17 Nov, 2015, Atlantic City, USA
  • F. Li, *G. Xu, L. Cao, Coupled Matrix Factorization within Non-IID Context, to be in the Proceedings of the 19th Pacific-Asia Conference On Knowledge Discovery and Data Mining (PAKDD 2015), 19-22 May, 2015, Ho Chi Minh City, Vietnam (Regular Paper, Acceptance Rate 6.6%)
  • B. Fu, *G. Xu, L. Cao, Coupling Multiple Views of Relations for Recommendation, to be in the Proceedings of The 19th Pacific-Asia Conference On knowledge Discovery and Data Mining (PAKDD 2015), 19-22 May, 2015, Ho Chi Minh City, Vietnam (Regular Paper, Acceptance Rate 6.6%)
  • X. Li, *G. Xu, E. Chen, and L. Li, 2015, Mars: A Multi-Aspect Recommender System for Point-Of-Interest, to be in the Proceeding of 2015 International Conference of Data Engineering (ICDE 2015), 13-17 April, 2015, Seoul, Korea
  • L. Hu, J. Cao, G. Xu, L. Cao, Z. Gu and W. Cao, Deep Modeling of Group Preferences for Group-basedRecommendation, in the Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), July 27–31, 2014 in Québec City, Québec, Canada 
  • X. Li, L. Zhang, P. Luo, E. Chen, G. Xu, Y. Zong and C. Guan, Mining User Tasks from Print Logs, in the Proceedings of 2014 International Joint Conference on Neural Networks (IJCNN 2014), July 06-11, 2014, Beijing, China (ERA A)
  • B. Fu, G. Xu, Z. Wang, L. Cao, Leveraging Supervised Label Dependency Propagation for Multi-label Learning, in the Proceedings of the 2013 IEEE International Conference on Data Mining (ICDM 2013), Dallas, Texas / December 7-10, 2013
  • F. Li, G. Xu, L. Cao, and X. Fan, CGMF: Coupled Group-based Matrix Factorization for Recommender System, in the Proceedings of the 14th International Conference on Web Information System Engineering (WISE 2013), October 13-15, 2013, Nanjing, China (ERA A)
  • Z. Wu, W. Yin, J. Cao, G. Xu, and A. Cuzzocrea, Community Detection in Multi-relational Social Networks, in the Proceedings of the 14th International Conference on Web Information System Engineering (WISE 2013), October 13-15, 2013, Nanjing, China (ERA A)
  • L. Hu, J. Cao, G. Xu, et al., Cross-Domain Collaborative Filtering viaBilinear Multilevel Analysis, in the Proceedings of 23rd International Joint Conference of Artificial Intelligence (IJCAI 2013), August 3-9, 2013, Beijing, China (ERA A)
  • L. Hu, J. Cao, G. Xu, L. Cao, Personalized Recommendation via Cross-DomainTriadic Factorization, in the Proceedings of 22nd International World Wide Web Conference (WWW 2013). May 13-17, 2013, Rio de Janeiro, Brazil (ERA A)
  • L. Wu, A. Chin, G. Xu, L. Du, X. Wang, K. Meng,Y. Guo, Y. Zhou, Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers, in The 18th International Conference on Database Systems for Advanced Applications (DASFAA 2013), April 22-25, 2013, Wuhan, China (ERA A)
  • X. Li, L. Zhang, E. Chen, Y. Zong, G. Xu, Mining Frequent Patterns in Print Logs with Semantically Alternative Labels, in the Proceedings of 9th International Conference on Advanced Data Mining and Applications (ADMA'2013), December 14-16, 2013 (ERA B)
  • X. Yi, R. Paulet, E. Bertino, G. Xu, Private data warehouse queries. SACMAT 2013: 25-36
  • Y. You, G. Xu, J. Cao, Y. Zhang, G. Huang, Leveraging Visual Features and Hierarchical Dependencies for Conference Information Extraction. APWeb 2013: 404-416
  • L. Liu, D. Fan, M. Liu, G. Xu, S. Chen, MapReduce-BasedParallel Clustering Algorithm for Large Protein-Protein Interaction Networks, in the Proceedings of 8th International Conference on Advanced Data Mining and Applications (ADMA 2012), Dec 15-18, Nanjing, china (ERA B)
  •  Y. Zong, G. Xu, P. Jin. X. Yi and E. Chen, A projective clustering algorithm based on significant local dense areas, in the Proceedings of 2012 IEEE International Joint Conference on Neural Networks (IJCNN 2012),  June 10-15, 2012, Brisbane, Australia (ERA A)
  • X. Chen, L. Li, H. Xiao, G. Xu, Recommending Related Microblogs: A Comparison Between Topic and WordNet based Approaches, in the Proceedings of Twenty-sixth AAAI Conference on Artificial Intelligence (AAAI-12), July 24 - 28, 2012, Toronto, Ontario, Canada (ERA A)
  • B. Fu, Z.-H. Wang, R. Pan, G. Xu, and P. Dolog, Learning Tree Structure of Labels Dependency for Multi-label Learning, in the Proceedings of 16 Pacific-Asia Knowledge Discovery and Data Mining (PAKDD 2012), May 29 – June 1, 2012, Kuala Lumpur (ERA A)
  • L. Hu, J. Cao1, G. Xu, and Z. Gu, Latent Informative Links Detection, in the Proceedings of 16th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2012), M. Graña et al. (Eds.), IOS Press, 1233 - 1242,  San Sebastian, Spain, 10-12 September 2012 (ERA B)
  • G. Xu, Y. Gu, P. Dolog, Y. Zhang and M. Kitsuregawa, SemRec: A Semantic Enhancement Framework for Tag based Recommendation, in the Proceedings of Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-11), August 7 - 11, 2011, in San Francisco, California, USA (ERA A)
  • G. Xu, Y. Gu, Y. Zhang and M. Kitsuregawa, TOAST: A Topic-Oriented Tag-based Recommender System, in the Proceedings of The 12th International Conference on Web Information System Engineering (WISE 2011), October 13 – 14, 2011, Sydney, Australia (ERA A )
  • Z. Wu, G. Xu, Y. Zhang, C. Lu, Z.  Hu and J. Lu, Wikipedia-based Contextual Advertising, in the Proceedings of 20th ACM Conference on Information and Knowledge Management (CIKM 2011), October 24-28, 2011, Glasgow, UK (ERA A)
  • G. Xu, Y. Zong, R. Pan, P. Dolog and P. Jin, On Kernel Information Propagation for Tag Clustering in Social Annotation Systems, in the Proceedings of 15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2011), IS "Advanced Knowledge-based Systems", 12-14 September 2011, Kaiserslautern, Germany (ERA B)
  • Y. Zong, G. Xu, Y. Zhang, E. Chen and P. Jin, APPECT: An Approximate Backbone-based Clustering Algorithm for Tags, in the Proceeding of 7th International Conference on Advanced Data Mining and Applications (ADMA 2011), Dec 17-19, Beijing, China (ERA B)
  • Y. Zong, G. Xu, P. Dolog and Y. Zhang, Co-Clustering for Weblogs in Semantic Space, in the Proceedings of 11th international Conference on Web Information Systems Engineering (WISE’10), Dec 12-14, 2010, Hong Kong, China (ERA A)
  • G. Xu, Y. Zong, P. Dolog and Y. Zhang, Co-Clustering of Web Log using Bipartite Spectral Clustering, in the Proceedings of 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, 8-10 September 2010 Cardiff, Wales, UK (ERA B)
  • Lin Li, G. Xu, Y. Zhang and M. Kitsuregawa, Enhancing Web Search by Aggregating Results of Related Web Queries, in the Proceedings of 10th international Conference on Web Information Systems Engineering (WISE’09), Oct 5-9, 2009, Poznan, Poland (ERA A)
  • Y. Zhang and G. Xu, Using Web Clustering for Web Community Mining & Analysis, in Proceedings of 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Dec 9-12, 2008, Sydney, Australia.
  • J. Thongkam, G. Xu and Y. Zhang, "Adaboost Algorithm with Random Forests for Predicting Breast Cancer Survivability", in the proceeding of the 2008 International Joint Conference on Neural Networks (IJCNN2008), June 2-6, 2008, Hong Kong (ERA A)
  • Y. Zhang and G. Xu, "On Web Communities Mining and Analysis", in Proceeding of the 3rd International Conference on Semantic, Knowledge and Grid (SKG2007), Oct 29-31, Xi’an, China, 2007
  • G. Xu, Y. Zhang and R. Begg, “Mining gait pattern for clinical locomotion diagnosis based on clustering technique”, in Proceeding of Second International Conference of Advanced Data mining and Applications (ADMA’2006), Xi'An, Springer LNAI 4093, 2006 (ERA B)
  • G. Xu, Y. Zhang and X. Zhou, “ Discovering Task-Oriented Usage Pattern for Web Recommendation” in Proceeding of The 17th Australasian Database Conference (ADC'2006), January 16 - 19, 2006, Tasmania, Australia (ERA B 2010)
  • G. Xu, Y. Zhang, J. Ma and X. Zhou, "Discovering User Access Pattern Based on Probabilistic Latent Factor Model", in Proceedings of 16th Australasian Database Conference (ADC 2005), pp 27-36, 31 January - 3 February 2005, Newcastle, Australia (ERA B)
  • G. Xu, Y. Zhang and X. Zhou, "A Latent Usage Approach for Clustering Web Transaction and Building User Profile", in Proceeding of The First International Conference on Advanced Data Mining and Applications (ADMA'2005) Invited Paper, LNAI 3584, pp 31-42, July 22-24,2005, Wuhan, china (ERA B)
  • G. Xu, Y. Zhang and X. Zhou, "A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis", in Proceeding of 6th International ference of Web Information System Engineering (WISE'2005), LNCS 3806, pp 15-28, November 22-25, 2005, New York City, USA (ERA A)
  • G. Xu, Y. Zhang and X. Zhou, "Towards User Profiling for Web Recommendation", in Proceeding of The 18th Australian Joint Conference on Artificial Intelligence (AI'2005), LNAI 3809, pp 405-414, December 5-9, 2005, Sydney, Australia (ERA B)
  • G. Xu, Y. Zhang and X. Zhou, "Using Probabilistic Semantic Latent Analysis for Web Page Grouping",  in Proceeding of 15th International Workshop on Research Issues on Data Engineering: Stream Data Mining and Applications (RIDE-SDMA'2005), pp 29-36, in conjunction with ICDE'2005, April 3-4, 2005, Tokyo, Japan (ERA B)

Books, Edited Books and Book Chapters

  • G. Xu, Y Zong and Z. Yang, Applied Data Mining, CRC/Taylor&Francis Press, June 17, 2013, 284 Pages
  • G. Xu and  L. Li, Social Media Mining and Social Network Analysis: Emerging Research (Eds), IGI-Global, January 2013
  • T. Luo, S. Chen, G. Xu, J. Zhou, Trust-based Collective View Prediction, 2013 by Springer, 146 Pages
  • G. Xu, Y. Zhang,  L. Li, Web Mining and Social Networking: Techniques and Applications, Springer, 2010
  • G. Xu, Z. Wu, J. Cao, H. Tao, Models for Community Dynamics, in book: Encyclopedia of Social Network Analysis and Mining 2014: 969-982
  • G. Xu, Y. Gu, and X. Yi, On Group Extraction and Fusion for Tag-Based Social Recommendation, in book: Social Media Mining and Social Network Analysis: Emerging Research (Chapter 14), Pages 211-223, 2012
  • Y. Zong, G. Xu,  Clustering Algorithms for Tags, in book: Social Media Mining and Social Network Analysis: Emerging Research (Chapter 3), Pages 39-53, 2012
  • L. Li, H. Xiao, G. Xu, Recommending Related Microblogs, in book: Social Media Mining and Social Network Analysis: Emerging Research (Chapter 13), Pages 202-210, 2012
  • G. Xu, Building User Communities of Interests by Using Latent Semantic Analysis , in book: Collaborative Search and Communities of Interest: Trends in Knowledge Sharing and Assessment (Chapter 4). published by IGI Global, 2010
  • G. Xu, Y. Demazeau, S. Chen, J.e Wu, M. Gavin, I. King, J. Cao, Z. Wu, Z. Bu: 2015 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2015, Nanjing, China, October 30 - December 1, 2015. IEEE 2015, ISBN 978-1-4673-8783-5
  • H. Liu, G. Xu, and W. Nejdl, 2014 International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2014, Shanghai, China, October 30 - November 1, 2014. IEEE 2014, ISBN 978-1-4799-6980-7
  • L. Cao, G. Xu et al, Behavior and Social Computing, LNCS 8178, 2013, Springer
  • J. Pei, V. Tseng, L. Cao, H. Motoda, G. Xu (Eds.): Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Lecture Notes in Computer Science, 7818 and 7819, Springer 2013, ISBN 978-3-642-37452-4
  • Q. Sheng, G. Wang, C. S. Jensen, G. Xu, Web Technologies and Applications - 14th Asia-Pacific Web Conference, APWeb 2012, Kunming, China, April 11-13, 2012. Proceedings Springer 2012
  • J. He, X. Liu, E. Krupinski and G. Xu; Health Information Science - First International Conference, HIS 2012, Beijing, China, April 8-10, 2012. Proceedings, Springer 2012
  • Y. Zhang, G. Yu, E. Bertino and G. Xu, Progress in WWW Research and Development, APWeb 2008: 10th Asia-Pacific Web Conference, Shenyang, China, April 26 -28, 2008, Proceeding Springer 2008
  • Y. Ishikawa, J. He, G. Xu et al, Advanced Web & Network Technologies, and Applications, APWEB 2008 workshops, Shenyang, China, April 26 -28, 2008, Proceeding Springer (LNCS 4977) 2008
  • Y. Zhang, G. Xu, Singular Value Decomposition, Chapter in Encyclopedia of Database Systems, Springer Press, 2009