Home to Guandong Xu

XU, Guandong (徐贯东)
  PhD

Associate Professor (Reader), School of Software & Advanced Analytics Institute
Faculty of Engineering & IT, University of Technology Sydney

PO Box 123, Broadway, NSW 2007
Office: CB11.07.304, Lab: CB25.01.04, Add: 2-12 Blackfria
rs St, Chippendale, NSW
 
Ph: +61 2 9514 3788, Fax: +61 2 9514 9267
Mobile: +61 (0)431 588 665
Email: guandong dot xu at uts dot edu dot au

Assist. Editor-in-Chief, World Wide Web Journal http://www.springerlink.com/content/101757/>



Biography

Dr. Guandong Xu currently is an Associate Professor affiliated with School of Software and Advanced Analytics Institute at University of Technology Sydney following a VC Postdoctoral Fellow in Centre for Applied Informatics at Victoria University. He received MSc and BSc degree in Computer Science and Engineering from Zhejiang University, China. He gained PhD degree in Computer Science from Victoria University. After that he worked as a Postdoc research fellow in the Centre for Applied Informatics at Victoria University and then Research Assistant Professor in Department of Computer Science at Aalborg University, Denmark. He is an Endeavour Postdoctoral Research Fellow in the University of Tokyo in 2008.


Research Interest

  • Data mining and Data Analytics
  • Web mining and Web Search
  • Recommender Systems
  • Text mining, latent semantic analysis, sentiment analysis
  • Social network analysis and social media mining
  • Predictive Analytics, Business Analytics, and Social Analytics 

News

Invited talk at CSC Conference on "Experience the Art of Transformation in Insurance"


Australian  Financial Review  News regrading the collaboration between UTS-CFS

UTS-Colonial First State project wins BigInsight Data Innovation Award for Best Customer Insights and Highly Commended in the category Best Industry Application of Data Analytics (new!)



The media release on the collaboration with colonial First State (CFS), the Wealth Management Division of Commonwealth Bank

             http://newsroom.uts.edu.au/news/2016/02/colonial-first-state-and-uts-collaborate-analysis-and-insights



BESC 2016 Proceedings online here, BESC 2015 Proceedings online now, click here

2017 PhD Scholarships available, and welcome for Application. 


2016 International Conference on Behavioral, Economic, Socio-Cultural Computing (BESC'2016) Duke University, Durham, NC USA on 11-13 Nov, 2016,  (IEEE CIS  Sponsored)

2015 International Conference on Behavioral, Economic, Socio-Cultural Computing (BESC'2015) Nanjing China on 30 Oct - 1 Nov, 2015 (IEEE CIS and SIGKDD Sponsored), selected papers to be published in journal Special Issue opportunities (more coming):

  1. World Wide Web Journal (SCI-indexed, http://www.springer.com/journal/11280).
  2. Journal of Systems Science and Systems Engineering (SCI-indexed, http://www.springer.com/journal/11518).
  3. Social Network Analysis and Mining (http://www.springer.com/journal/13278).
  4. Data Science and Deep Analytics (Springer, forthcoming).

 Applied Data Mining  Trust-based Collective View Prediction  
 
Applied Data Mining, G. Xu, Y. Zong, and Z. Yang, June 17, 2013 by CRC Press - 284 Pages  CRC Website
 
Trust-based Collective View Prediction, T. Luo, S. Chen, G. Xu, J. Zhou, 2013 by Springer, 146 Pages Springer Website
 
Social Media Mining and Social Network Analysis: Emerging Research, G.  Xu and Lin Li (Eds.) IGI-Global website

  • Paper "Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation" is accepted by IEEE Transaction of Service Computing (TSC May 2016)
  • Co-authored paper  "On Deep Learning for Trust-aware Recommendations in Social Networks" is accepted by TNNLS (Dec 2015)
  • Our paper "Point-of-Interest Recommendations via a Supervised Random Walk Algorithm" is accepted by IEEE Intelligent System (Oct 2015)
  • Our paper "Learning User Preferences across Multiple Aspects for Merchant Recommendation" is accepted by ICDM 2015 conference as Short Paper 
  • Two papers "Coupling Multiple Views of Relations for Recommendationand "Coupled Matrix Factorization within Non-IID Contextare accepted by PAKDD 2014 as Regular papers (acceptance rate 6.6%)
  • Two papers "Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval" and "Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages" have been accepted by ICDM 2014 as Regular (acceptance rate 9.7%) and short paper (acceptance rate 9.7%).
  • We succeeded in 2014 ARC Linkage Project Grant Application (LP1
    40100937)
  • The IEEE full sponsorship for DSAA2015 and BESC2015 has been approved by IEEE CIS.
  • Our paper "Coupled Item-based Matrix Factorization", has been accepted as regular paper in WISE 2014 conference 
  • Our paper "Deep Modeling of Group Preferences for Group-based Recommendation", has been accepted in AAAI 2014 conference (acceptance rate 28%)
  • Our paper "Mining User Tasks from Print Logs", has been accepted in IJCNN 2014 conference
  • Our paper "Leveraging Supervised Label Dependency Propagation for Multi-label Learning", has been accepted as short paper by ICDM 2013 (acceptance rate 19.7%)
  • Our two papers "CGMF: Coupled Group-based Matrix Factorization for Recommender System" and "Community Detection in Multi-relational Social Networks" have been accepted as short and regular paper by WISE'2013 (acceptance rate 24.7%)
  • Our paper "Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis" has been accepted as oral and POSTER presentation at IJCAI'2013 (acceptance rate 13.4%)
  • Our paper "Personalized Recommendation via Cross-Domain Triadic Factorization" has been accepted as regular paper by WWW'2013 (acceptance rate 15%)
  • Our paper "Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers" has been accepted by DASFAA'2013

Research Interests

  • Data mining and Machine learning
  • Information retrieval and processing, Web search
  • Web usage mining, Web community, Web personalization and Recommender System
  • Social network analysis, Social media mining, Social Informatics
  • Applied Informatics, Health informatics, Infodemiology

Publications

Books, Edited Books and Book Chapters

  1. G. Xu, Y Zong and Z. YangApplied Data Mining, CRC/Taylor&Francis Press, June 17, 2013, 284 Pages
  2. G. Xu and  L. Li, Social Media Mining and Social Network Analysis: Emerging Research (Eds), IGI-Global, January 2013
  3. T. Luo, S. Chen, G. Xu, J. Zhou, Trust-based Collective View Prediction, 2013 by Springer, 146 Pages
  4. G. Xu, Y. Zhang,  L. Li, Web Mining and Social Networking: Techniques and Applications, Springer, 2010
  5. G. XuZ. WuJ. CaoH. TaoModels for Community Dynamics, in book: Encyclopedia of Social Network Analysis and Mining 2014969-982
  6. 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
  7. 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
  8. 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
  9. 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
  10. G. XuY. DemazeauS. ChenJ.e WuM. GavinI. KingJ. CaoZ. WuZ. Bu2015 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
  11. 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
  12. L. Cao, G. Xu et al, Behavior and Social Computing, LNCS 8178, 2013, Springer
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. Y. Zhang, G. Xu, Singular Value Decomposition, Chapter in Encyclopedia of Database Systems, Springer Press, 2009

Refereed Journal Papers

  1. L. Hu, L. Cao, J. Cao, Z. Gu, G. Xu, J. Wang, Improving the Quality of Recommendations for Users and Items in the Tail of Distribution. ACM Trans. Inf. Syst. 35(3): 25:1-25:37 (2017)
  2. Z. Wu, L. Lei, G. Li, H. Huang, C. Zheng, E. Chen, Guandong Xu. A topic modeling based approach to novel document automatic summarization. Expert Syst. Appl. 84: 12-23 (2017)
  3. Z. Wu, H. Zhu, G. Li, Z. Cui, H. Huang, J. Li, E. Chen, G. Xu, An efficient Wikipedia semantic matching approach to text document classification. Inf. Sci. 393: 15-28 (2017)
  4. 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)
  5. 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)
  6. 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)
  7. Y. Xun, R. Paulet, E. bertino, G. XuPrivate Cell Retrieval from Data Warehouses, IEEE Transactions on Information Forensics & Security, (Accepted in Jan 2016)
  8. 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)
  9. G. Xu, B. Fu, and Y. Gu, Point-Of-Interest Recommendations via Supervised Random Walk, IEEE Intelligent Systems , 31(1)15-23, 2016
  10. 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
  11. 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
  12. F. Li, G. Xu, L. Cao, Two-level matrix factorization for recommender systems, Neural Computing And Applications (Published online in September 2015)
  13. S. Deng, D Wang, X Li, and G. XuExploring User Emotion in Microblogs for Music Recommendation, Expert Syst. Appl. (accepted in August 2015)
  14. Y. Li, Y. Li, and G. Xu, Protecting Private Geosocial Networks Against Practical Hybrid Attacks With Heterogeneous Information, Neurocomputing (accepted in Sep 2015)
  15. 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
  16. G. Xu and Z. Wu, Group Recommendation and Behavior, IEEE Intelligent Systems, 29(4), 2014 (SCI Impact Factor: 1.92)
  17. S. Deng, L. Huang, G. Xu. Socialnetwork-based service recommendation with trust enhancement. Expert Syst. Appl. 41(18): 8075-8084, 2014
  18. G. Xu, Z. Wu, E. Chen, Improving Contextual Semantic Matching by Using Wikipedia Thesaurus KnowledgeKnowledge and Information Systems (accepted), 2014
  19. 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)
  20. 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
  21. Z. Wu, G. Xu, C. Lu, E. Chen, Y. Zhang and H. ZhangPosition-wise contextual advertising: Placing relevant ads at appropriate positions of a web page, Neurocomputing (accepted), 2013
  22. 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)
  23. 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)
  24. 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)
  25. 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)
  26. 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*)
  27. 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
  28. 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)
  29. 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)
  30. 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)
  31. 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
  32. 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)
  33. 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)
  34. 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)
  35. 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)

Papers in Refereed Conference Proceedings

  1. R. Wu, G. Xu, E. Chen, Q. Liu, W. Ng, Knowledge or Gaming? Cognitive Modelling Based on Multiple-Attempt Response: submission title, Long Paper, to appear in 26th International World Wide Web Conference (WWW 2017), 2-7 April, 2017, Perth Australia.
  2. D. Wang, 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.
  3. 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.
  4. 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
  5. 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
  6. 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
  7. D. WangS. DengS. Liu, G. XuImproving Music Recommendation Using Distributed Representation. WWW (Companion Volume) 2016125-126
  8. 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)
  9. 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
  10. 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%)
  11. 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%)
  12. 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
  13. L. Hu, J. Cao, G. Xu, L. Cao, Z. Gu and W. Cao, Deep Modeling of Group Preferences for Group-basedRecommendationin the Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), July 27–31, 2014 in Québec City, Québec, Canada 
  14. 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)
  15. 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
  16. 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)
  17. 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)
  18. 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)
  19. 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)
  20. 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)
  21. 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)
  22. X. Yi, R. Paulet, E. Bertino, G. XuPrivate data warehouse queries. SACMAT 2013: 25-36
  23. Y. You, G. Xu, J. Cao, Y. Zhang, G. Huang, Leveraging Visual Features and Hierarchical Dependencies for Conference Information Extraction. APWeb 2013: 404-416
  24. 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)
  25.  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)
  26. 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)
  27. 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)
  28. 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)
  29. 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)
  30. 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 )
  31. 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)
  32. 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)
  33. 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)
  34. 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)
  35. 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)
  36. 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)
  37. 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.
  38. 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)
  39. 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
  40. 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)
  41. 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)
  42. 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)
  43. 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)
  44. 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)
  45. 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)
  46. 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)
 

Research Grants

  1. ARC-Linkage Project (LP140100937), Lead CI, Amount AU$360K, 2015-2018
  2. Personality Mining via Text Mining, Lead CI, Industry Project, Amount AU$260k, 2017
  3. Emergence Department Treatment Performance Analysis, NSW Ministry of Health, 2nd CI, Industry Project, Amount AU$150k, 2017
  4. Discovering Deep Insight in SG contribution, Lead CI, Industry Project, Amount AU$258k, 2016
  5. Insurance Claim Prediction Model, Lead CI, Industry Project, Amount AU$100k, 2016
  6. Advanced Analytics to Reveal Novel Insights into ‘Worth of Water’, NSW Department of Primary Industries, 2nd CI, Amount AU$200K
  7. Analytics Internship, Industry Funding, Amount AU$22,500, 2016, AU$12,000, 2017
  8. NSW-Government Analytics Engagement Framework, Lead CI, Industry Project, AU$30K, 2016
  9. Building Deep Insights and Advanced Workforce Modeling, Lead CI, Industry Project, Amount AU$274K, 2015

  10. Develop Deep Insights in Customer Retention, Lead CI, 

    Industry Project, Amount AU$255K, 2015
  11. The Embassy of France in Australia, 2014 SCIENTIFIC MOBILITY PROGRAM, Scaling Latent Topic/Class Models to Big Data Collections and Streams: Applications to Medical Domain (Travel Grant)

  12. Australia-India Council Fund (2014), Collaboration with IIT to build a Research Network for Big Data Analytics, Amount AU$22,600
  13. Australia-China Science & Research Fund (Group Mission, 2013, category 1 grant), Collaboration with Shanghai Jiaotong and other Universities to build a Research Network for Big Data Analytics, Amount AU$40,495
  14. Australia-China Science & Research Fund (Group Mission, 2012, category 1 grant) (with Prof. Yanchun Zhang), Public Health Event Detection based on Twitter Analysis, Amount A$44,661
  15. Victoria University Research Development Grant Scheme (2012) (with Prof. Yanchun Zhang). Social Surveillance: a Social Media Mining Approach for Public Event Detection. Amount A$27,331
  16. Research Infrastructure Block Grants (RIBG) 2011, Context Aware Web Service and Web Mining, Y. Zhang, Y. Miao, X. Yi, J. He, G. Xu, Amount A$60,000
  17. Victoria University 2011 Postdoctoral Fellowship Scheme Start-up Grant. On Data Integration, Data Mining, and Knowledge Utilization and Dissemination for Smarter and Collaborative Data Management in Health. Amount A$12,000.
  18. Endeavour Postdoctoral Fellowship Project funded by Department of Education, Employment and Workplace Relationships,  Amount A$25,000

Awards


Professional Activities

Editorials

Conference/workshop Organization

      Conference/Workshop Organizing

  • [PC Chair, 2016] 2nd IEEE International Conference on Internet of People (IoP15), July 16-18, 2016 Toulouse, France
  • [PC Chair, 2016] 7th ASE International Conference on Data Science, August 15-17, Kean University, New Jersy, USA
  • [Tutorial & Panel Co-chair, 2015] 16th International Conference on Web Information Systems Engineering (WISE'2015), 18-20 October, Miami, USA
  • [Sponsorship Chair, 2015] 2015 International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC'2015), 30 October - 1 November, 2014, Nanjing, China
  • [Tutorial Co-Chair, 2015], 2015 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM'2015), 25-28-20 August, Paris, France
  • [Publicity Co-Chairs, 2015], 15th International Conference on Web Engineering (ICWE'2015), 23-26 June, 2015, Rotterdam, Netherlands
  • [PC Co-Chairs, 2014], 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM'2014), 17-20 August, Beijing, China
  • [PC Co-Chairs, 2014]2014 International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC'2014), 30 October - 1 November, 2014, Shanghai, China
  • [Tutorial Co-Chairs 2014], The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2014), 13-16 May, 2014, Tainan, Taiwan
  • [Organization Chair, 2013], 2013 International Workshop on Behavior and Social Informatics & Computing (BSIC'2013),  in conjunction with IJCAI'2013, 3 - 9 August, Beijing, China
  • [Organization Co-Chairs 2013], The 9th International Conference On Advanced Data Mining And Applications (ADMA 2013), December 14-16, 2013, Hangzhou, China
  • [Organization Chair, 2013], 2013 International Workshop on Behavior and Social Informatics (BSI'2013), in conjunction with PAKDD'2013, 14 -17 April, 2013, Gold Coast, Australia
  • [Co-Chairs, 2013], 1st International Workshop on Data Analytics on Targeted Healthcare (DANTH'2013), in conjunction with PAKDD'2013, 14 -17 April, 2013, Gold Coast, Australia
  • [PC Co-Chairs, 2012], 2nd International Conference on Social Computing and Applications (SCA'2012), 1-3 November, 2012, Xiangtan, China
     PC Members

  • [KDD16 PC], 22nd ACM SIGKDD international conference on knowledge discovery and data mining, Aug 13, 2016 - Aug 17, 2016, San Francisco, USA
  • [ICDM15 PC], the 2014 IEEE International Conference on Data Mining, 14-17 November, 2014, Atlantic City NJ, USA
  • [ICDM14 PC], the 2015 IEEE International Conference on Data Mining, 14-17 December, 2014, Shenzhen, China 
  • [PAKDD16 PC], The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining, April 19-22, 2016, Auckland, New Zealand
  • [PAKDD15 PC], The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 19-22 May, 2015, Ho Chi Minh City, Vietnam
  • [PAKDD14 PC], The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 13-16 May, 2014, Tainan, Taiwan
  • [PC Member, 2014], The 14th International Conference on Web Engineering (ICWE 2014), 1 - 4 July, 2014, Toulouse, France
  • [PC Member, 2014], The 10th International Conference on Advanced Data Mining and Applications (ADMA'2014), Dec 15-18, 2014, Nanning, China
  • [PC Member, 2014], The 9th International Knowledge Management in Organizations Conference (KMO'2014), 2-5 September, 2014, Santiago, Chile
  • [PC Member, 2012], 8th International Conference on Semantics, Knowledge & Grids (SKG'2012), Oct 22-24, 2012, Beijing, China
  • [Co-Chairs, 2012], International Workshop on Social Media Mining, Retrieval and Recommendation Technologies (SMR 2012), 15 December, 2012, Nanjing, China. In conjuction with ADMA 2012.
  • [PC Member, 2012], 2012 International Conference on Data and Knowledge Engineering (ICDKE2012), November 21-23, 2012, Wuyishan, China
  • [PC Member, 2012], 2012 International Workshop on Web Personalization and Recommender Systems (WPRS2012), 4-7 December 2012, Macau, in Conjunction with WI'2012
  • [PC Member, 2012], 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2012) August 27 - 31, 2012, Kuching, Sarawak, Malaysia
  • [Co-Chairs, 2012], 1st International workshop of Social Knowledge Discovery and Utilization (SKDU'2012) In conjunction with IEEE/ACM ASONAM 2012, 26-29 August, 2012, Istanbul, Turkey
  • [PC Co-Chairs, 2012]The First International Workshop on Social Knowledge Discovery and Management (SKDM 2012) in conjunction with the 5th International Conference on Human-centric computing Computing (HumanCom2012), 6-8 September, 2012, Gwangju, Korea
  • [Co-Chairs, 2012], 3rd International Workshop of Social Network and Social Web Mining (SNSM’2012) in conjunction with 2011 International Conference of Database Systems for Advanced Applications (DASFAA’2012), 15-18 April, 2012, Busan, Korea
  • [Publication Chair, 2012], The 14th Asia-Pacific Web Conference (APWeb 2012), 11-13 April, 2012, Kunming, China
  • [Publication Chair, 2012]The 1st International Conference on Health Information Science (HIS 2012), 8-10 April, 2012, Beijing China
  • [Co-Chairs, 2011], 1st International Workshop on Cloud and Social Networking (CSN2011) in conjunction with 2011 International Conference on Social Computing and Applications (SCA 2011), 12-14 December, 2012, Sydney, Australia
  • [PC Co-Chairs, 2012], Track 11 "Database and Data Mining", The 7th International Conference on Future Information Technology (FutureTech 2012), 26-28 June, 2012, Vancouver, Canada
  • [PC Co-Chairs, 2011], Track 12 "Web and internet computing", The 3rd FTRA International Conference on Computer Science and its Applications (CSA-11),12-15 December, 2011, Jeju, Korea
  • [Co-Chairs, 2011], 2nd International Workshop of Social Network and Social Media Mining on the Web (SNSMW’2011) in conjunction with 2011 International Conference of Database Systems for Advanced Applications (DASFAA’2011), 22-25 April, 2011, Hong Kong, China
  • [Co-Chairs, 2010], 1st International Workshop of Social Network and Social Media Mining on the Web (SNSMW’2010) in conjunction with 2010 International Conference of Database Systems for Advanced Applications (DASFAA’2010), 1-4 April, 2010, Tsukuba, Japan
  • [Co-Chair, 2008]DeWeb'08 (Doctoral Consortium of APWeb'08 conference) in conjunction with APWeb’08, 26-28 April, 2008, Shenyang, China
  • [Publication Chair, 2008], 2008 Asia Pacific Conference APWEB’08, 26-28 April, 2008, Shenyang, China
  • [PC Member, 2012], 2012 International Joint Conference on Neural Networks (IJCNN 2012), 10-15 June, 2012, Brisbane, Australia
  • [PC Member, 2012], 2012 IEEE Congress on Evolutionary Computation (CEC 2012), 10-15 June, 2012, Brisbane, Australia
  • [PC Member, 2012], Seventh International KMO Conference, knowledge management, Services and cloud computing, 11-13 July, Salamanca, Spain
  • [PC Member, 2012], The First International Conference on Intelligent Systems and Applications (INTELLI 2012), April 29 - May 4, 2012 - Chamonix / Mont Blanc, France
  • [PC Member, 2012], 2012 IEEE World Congress on Computational Intelligence (WCCI 2012) Special Session on Computational Intelligence in Social Media Analysis and Mining, 10-15 June, 2012, Brisbane, Australia
  • [PC Member, 2012], 8th International Conference on Web Information Systems and Technologies (WEBIST 2012), 18-21 April, 2012, Porto, Portugal
  • [PC Member, 2011], 2011 International Workshop on Domain Driven Data Mining (DDDM'2011) joint with the 11th IEEE International Conference on Data Mining (ICDM'11), 11-14 December, 2011, Vancouver, Canada
  • [PC Member, 2011], The 3rd International Conference on Human-centric Computing (HumanCom-11), 11-13 August, 2011, Enshi, China
  • [PC Member, 2011], The 6th International Conference (2011) on Semantics, Knowledge & Grids (SKG2011), 24-26 October, 2011, Beijing, China
  • [PC Member, 2010], The 6th International Conference (2010) on Semantics, Knowledge & Grids (SKG2010), 1-3 November, 2010, Ningbo, China
  • [PC Member, 2010], The 3rd International Conference on Human-centric Computing (HumanCom-10), 11 - 13 August , 2010, Cebu, Philippines
  • [PC Member, 2009], 2009 Joint International Conferences on Asia-Pacific Web Conference (APWeb) and Web-Age Information Management (WAIM), 2-4 April, 2009, Suzhou, China
  • [PC Member, 2009], 2009 International Symposium on Computer Science and its Applications (CSA-09) (Internet Computing track, Data Mining and Database Track), 10-12 December, 2009, Jeju, Korea
  • [PC Member, 2009], The First International e-Conference on Advanced Science and Technology (AST 2009), 7-9 March, 2009, Daejeon, Korea
  • [PC Member, 2009], 2nd International Workshop on Electronic Commerce, Business, and Services (ECBS 2009), in conjunction with WI 2009, 15-18 September 2009, Milan, Italy
  • [PC Member, 2008], 2008 International Symposium on Computer Science and its Applications (CSA-08), 13-15 October, 2008, Hobart, Australia
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Guandong Xu,
Feb 16, 2017, 5:17 PM