Home to Guandong Xu (moved new Google Sites)


XU, Guandong
(徐贯东)
  PhD This website is not updated further and moved to new Google Site

Full Professor, School of Computer Science & Advanced Analytics Institute
Faculty of Engineering & IT, University of Technology Sydney

Director, Smart Future Research Centre 

PO Box 123, Broadway, NSW 2007
Office: CB02.12.158, Add: 15 Broadway, Ultimo NSW 2007
 
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 is a full Professor in the School of Computer Science and Advanced Analytics Institute at University of Technology Sydney. He received MSc and BSc degree in Computer Science and Engineering, and PhD in Computer Science. Before he joined UTS in 2012, he took various research positions at European and Australian universities. His research has received research funding from Australian Research Council, government agencies, and industry corporates totalling over $5.5M in past years. He is recipients of a number of awards from Academia and Industry, including 2019 Australian Computer Society Digital Disruptors Winner Award in Skill Transformation, 2018 Top 10 Analytics Leaders by Australian Analytics Professional Peak Body (IAPA), 2018 UTS Vice-Chancellor Research Excellence Award Finalist, 2018 Australian Computer Society Disruptor Award Finalists, 2018 Australasian Database Conference Best Student Paper Award, 2017 NSW Winner of Marketing Excellence Award in Customer Research, 2016 BigInsights Data Innovation Award Winner in Customer Insights.



Research Interest
  • Data Science and Data Analytics
  • Web mining and Information Retrieval
  • Recommender Systems
  • Text mining, latent semantic analysis, sentiment analysis
  • Social network analysis and social computing
  • Predictive Analytics, Business Analytics, and Social Analytics 

News

     -- On Dec 4, 2019, Our team & OnePath wins the 2019 Australian Computer Society - "Disruptor Winner in Skills Transformation of Work Teams" and "Gold Disruptor in Service Transformation for the Digital Consumer"
 
                   


                 -- Our team together with Zurich OnePath wins hat trick again at the 2019 NSW- iAwards for "the AI-Driven Underwriting Technology, which goes on to represent NSW at the National iAwards, in the categories of 
    • Data Insights Innovation
    • R&D Project
    • Business Service Markets
                    



       
-- Our team in collaboration with ANZ OnePath won the "Best Industry Application of Data analytics" and "Best Industry Application of AI" by BigInsights Data & AI Innovation, 28 Sep, 2018

            

-- 2019 Cooperative Research Centre Project (CRC-P) on Solar Power Prediction, UTS news, 19 Sep, 2019
-- BigInsights Data & AI Innovation Awards announced, Technology Decisions, 3 Oct, 2018
-- NSW Innovation Minister presents 2018 BigInsights Data & AI Innovation Awards, Newsmaker, 3 Oct, 2018
-- Success of ARC-LP grant (LP170100891) "Reshaping superannuation practice in Australia using big data analytics", A$415,893
-- Colonial First State drills big data to transform superannuation, IT News, 2 July, 2018
-- Top 25 Analytics Leaders Award #9 by Institute of Analytics Professionals of Australia, 19 June 2018

              


-- Media release re: ANZ and UTS collaboration on AI supported underwriting, CeBIT 2018 feature showcase
                   
                           

       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

                    


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

 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 "Multidimensional Balance-based Cluster Boundary Detection for High Dimensional Data",  is accepted in IEEE Transactions on Neural Networks and Learning Systems (Oct 2018)
  • Paper "Efficient Brain Tumor Segmentation with Multi-scale Two-Pathway-Group Conventional Neural Networks", is accepted in Journal of Biomedical and Health Informatics (Oct 2018)
  • Paper "Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation" is accepted by IEEE Transaction of Services Computing (TSC May 2016)
  • Paper "On Deep Learning for Trust-aware Recommendations in Social Networks" is accepted by TNNLS (Dec 2015)
  • Paper "Point-of-Interest Recommendations via a Supervised Random Walk Algorithm" is accepted by IEEE Intelligent System (Oct 2015)
  • Paper "Learning User Preferences across Multiple Aspects for Merchant Recommendation" is accepted by ICDM 2015 conference as Short Paper 

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. J. Diesner, E. Ferrari, G. XuProceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31 - August 03, 2017. ACM 2017, ISBN 978-1-4503-4993-2
  11. Y. Demazeau, J. Gao, G. Xu, J. Kozlak, K. Müller, I. Razzak, H. Chen, Y. Gu, Proceedings of 2017 International Conference on Behavioral, Economic, Socio-cultural Computing, BESC 2017, Krakow, Poland, October 16-18, 2017. IEEE 2017, ISBN 978-1-5386-2365-7
  12. G. Li, Y. Demazeau, G. Xu, P. Wang, L. S. L. Wang, G. Liu, Proceedings of 2016 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2016, Durham, NC, USA, November 11-13, 2016. IEEE 2016, ISBN 978-1-5090-6164-8
  13. G. XuY. DemazeauS. ChenJ.e WuM. GavinI. KingJ. CaoZ. WuZ. Bu, Proceedings of 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
  14. H. Liu, G. Xu, and W. Nejdl, Proceedings of 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
  15. L. Cao, G. Xu et al, Behavior and Social Computing, LNCS 8178, 2013, Springer
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. Y. Zhang, G. Xu, Singular Value Decomposition, Chapter in Encyclopedia of Database Systems, Springer Press, 2009

Refereed Journal Papers

  1. D. Wang, X. Zhang, D. Yu, G. Xu and S Deng, CAME: Content and Context-Aware Music Embedding for Recommendation, accepted in IEEE Trans. Neural Network Learning Systems, Mar 2020
  2. Z. Wu, R. Wang, Q Li, X. Lian, G. Xu, E. Chen, X. Liu, A location privacy-preserving system based on query range cover-up for location-based services, accepted in IEEE Transactions on Vehicular Technology, 2020 (IF: 5.539)
  3. W. Wang, Y. Zhang, Y. Sui, Y Wan, Z. Zhao, J Wu, P Yu, *G. Xu, Reinforcement-Learning-Guided Source Code Summarization via Hierarchical Attention, accepted in IEEE Transactions on Software Engineering, 2020 (IF: 4.778, JCR- Q1)
  4. I. Razzak, R. M. Abu-Saris, M. Blumenstein, *G. XuIntegrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection. Neural Networks 121: 441-451, 2020 (IF: J5.785, JCR-Q1)
  5. I. Razzak, IA Hameed, *G. XuRobust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG SignalsIEEE Journal of Translational Engineering in Health and Medicine 2019
  6. N. Vo, S. Liu, X. He, *G. Xu Deep Learning for Decision Making and the Optimization of Socially Responsible Investments and Portfolio, Decision Support Systems, accepted on 4 July, 2019 (IF: 3.847, JCR-Q1)
  7. I. Razzak, M. Blumenstein, G. Xu*Multiclass Support Matrix Machines by Maximizing the Inter-class Margin for Single Trial EEG ClassificationIEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(6) 2019  (IF: 3.978, JCR-Q1)
  8. I. Razzak, M. Imran, G. XuEfficient Brain Tumor Segmentation with Multi-scale Two-Pathway-Group Conventional Neural Networks, accepted in Journal of Biomedical and Health Informatics (Oct 2018, IF: 3.85, JCR-Q1)
  9. I. Razzak, M. Imran, and G. XuBig Data Analytics for Preventive Medicine, accepted in Neural Computing and Applications (Jan 2019, IF: 4.213, JCR-Q1)
  10. Z. Saeed, R. Ayaz Abbasi, O. Maqbool, A. Sadaf, I. Razzak, A. Daud, N. Radi Aljohani, G. XuWhat’s Happening Around the World? A Survey and Framework on Event Detection Techniques on TwitterJournal of Grid Computing  17(2): 279-312, 2019 (IF: 3.288, JCR-Q1)
  11. Z Saeed, RA Abbasi, I Razzak, O Maqbool, A Sadaf, G Xu, Enhanced Heartbeat Graph for Emerging Event Detection on Twitter using Time Series Networks, accepted in Expert Systems with Applications (June 2019, IF: 4.929, JCR-Q1)
  12. Z. Saeed, R. Abbasi, I. Razzak, G. XuEvent Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach, in IEEE Computational Intelligence Magazine, 14(3): 29-38 2019 (IF: 6.61, JCR-Q1)
  13. A. Naseer, M. Rani, S. Naz, M. Razzak, M. Imran, G. Xu, Refining Parkinson’s neurological disorder identification through deep transfer learningaccepted in Neural Computing and Applications (Dec 2018, IF: 4.213, JCR-Q1)
  14. X. Cao, B. Qiu, X. Li, Z. Shi, G. Xu, J. Xu, Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data. IEEE Trans. Neural Network Learning Systems 30(6): 1867-1880, 2019
  15. H. Zhang, G. Xu, X. Liang, G. Xu, F. Li, K. Fu, L. Wang, T. Huang, An Attention-Based Word-Level Interaction Model for Knowledge Base Relation Detection. IEEE Access 6: 75429-75441, 2018
  16. Z. Wu, C. Zheng, Jian Xiejian, Z. Zhou, Guandong Xu, Enhong Chen, An approach for the protection of users' book browsing preference privacy in a digital library. The Electronic Library, 36(6): 1154-1166, 2018
  17. Y Wan, G Xu*,, L. Chen, Z. Zhao, Ji. Wu, Exploiting Cross-source Knowledge for Warming up Community Question Answering Services Neurocomputing  320: 25-34, 2018 (IF: 3.241, JCR-Q1)
  18. Z.Wu, G. Xu, and E. Chen, Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation, IEEE Transactions on Services Computing, 11(3): 493-506, 2018 (IF: 4.418, JCR-Q1)
  19. D Wang, S Deng, G Xu*Sequence-based context-aware music recommendationInformation Retrieval Journal, 21 (2-3), 230-252, 2018 (IF: 1.488)
  20. R. Wu, Q. Liu. E. Chen, G.Xu, Y. Su, Z. Chen, Fuzzy Cognitive Diagnosis for Modelling Examinee PerformanceACM Transactions on Intelligent Systems and Technology, 9(4)48:1-48:26, 2018 (IF: 3.19, JCR-Q1)
  21. K Ji, Z Chen, R Sun, K Ma, Z Yuan, G XuGIST: A generative model with individual and subgroup-based topics for group recommendationExpert Systems with Applications, 94, 81-93, 2018 (IF: 3.768, Q1)
  22. Z. Wu, G. Xu, C. Lu, E. Chen, F. Jiang, G. Li, An effective approach for the protection of privacy text data in the CloudDB. World Wide Web, 21(4): 915-938, 2018
  23. H. Ying, J. Wu, G. Xu*, Y. Liu, T. Liang, X. Zhang, H Xiong, Time-aware metric embedding with asymmetric projection for successive POI recommendationWorld Wide Web, 1-16, 22(5), 2209-2224 (2019)
  24. Y. Gu, M. Gu, Y. Long, G. Xu, Z. Yang, J. Zhou, W Qu, An enhanced short text categorization model with deep abundant representationWorld Wide Web21(6): 1705-1719 (2018)
  25. Y. Wan, L. Chen, G. Xu*, Z. Zhao, J. Tang, J. Wu, SCSMiner: mining social coding sites for software developer recommendation with relevance propagationWorld Wide Web21(6): 1523-1543 (2018)
  26. X Cao, B Qiu, G Xu, BorderShift: Toward optimal MeanShift vector for cluster boundary detection in high dimensional data, Pattern Analysis and Applications22(3): 1015-1027 (2019)
  27. D. Yu, B. Fu, G. Xu, A. Qin, Constrained nonnegative matrix factorization-based semi-supervised multi-label learningInternational Journal of Machine Learning and Cybernetics10(5): 1093-1100 (2019)
  28. L. Li, J. Liu, Y. Sun, G. Xu, J. Yuan, L. Zhong, Unsupervised Keyword Extraction from Microblog Posts via Hashtags, Journal of Web Engineering 17 (1&2), 093-12, 2018
  29. S. Deng, L. Huang, G. Xu, X. Wu, Z. Wu, On deep learning for trust-aware recommendations in social networksIEEE Transactions on Neural Networks and Learning Systems, 28 (5), 1164-1177, 2017
  30. 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 DistributionACM Transactions on Information Systems, 35(3): 25:1-25:37, 2017
  31. Z. Wu, L. Lei, G. Li, H. Huang, C. Zheng, E. Chen, G. XuA topic modeling based approach to novel document automatic summarization. Expert Systems with Applications 84: 12-23, 2017
  32. Z. Wu, H. Zhu, G. Li, Z. Cui, H. Huang, J. Li, E. Chen, G. XuAn efficient Wikipedia semantic matching approach to text document classification. Information Sciences, 393: 15-28, 2017
  33. D Wang, S Deng, X Zhang, G XuLearning to embed music and metadata for context-aware music recommendationWorld Wide Web21(5): 1399-1423 (2018)
  34. 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 DomainsACM Transactions on Information Systems, 35(2): 13:1-13:37, 2016
  35. 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 12(3): 384-397 (2019)
  36. Y. Xun, R. Paulet, E. bertino, G. XuPrivate Cell Retrieval from Data WarehousesIEEE Transactions on Information Forensics & Security11(6): 1346-1361 (2016)
  37. G. Xu, B. Fu, and Y. Gu, Point-Of-Interest Recommendations via Supervised Random Walk, IEEE Intelligent Systems , 31(1)15-23, 2016
  38. Z. Zhang, Y. Liu, G. Xu, and G. Luo, Recommendation using DMF-based fine tuning methodJ Intelligent Information Systems, 47(2): 233-246 (2016)
  39. 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
  40. F. Li, G. Xu, L. Cao, Two-level matrix factorization for recommender systems, Neural Computing And Applications (Published online in September 2015)
  41. S. Deng, D Wang, X Li, and G. XuExploring User Emotion in Microblogs for Music Recommendation, Expert Syst. Appl. (accepted in August 2015)
  42. Y. Li, Y. Li, and G. Xu, Protecting Private Geosocial Networks AgainstPractical Hybrid Attacks With Heterogeneous Information, Neurocomputing (accepted in Sep 2015)
  43. 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
  44. G. Xu and Z. Wu, Group Recommendation and Behavior, IEEE Intelligent Systems, 29(4), 2014 (SCI Impact Factor: 1.92)
  45. S. Deng, L. Huang, G. Xu. Socialnetwork-based service recommendation with trust enhancement. Expert Syst. Appl. 41(18): 8075-8084, 2014
  46. G. Xu, Z. Wu, E. Chen, Improving Contextual Semantic Matching by Using Wikipedia Thesaurus KnowledgeKnowledge and Information Systems (accepted), 2014
  47. 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)
  48. 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
  49. 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
  50. 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)
  51. 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)
  52. 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)
  53. 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)
  54. 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*)
  55. 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
  56. 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)
  57. 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)
  58. 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)
  59. 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
  60. 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)
  61. 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)
  62. 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)
  63. 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. Biddle, S. Liu, A. Joshi, C. Paris, G. Xu, Leveraging Sentiment Distributions to Distinguish Figurative from Literal Health Reports on Twitter, accepted as regular paper in 2020 International World Wide Web Conference
  2. Y. Wan, J. Shu, Y. Sui, G. Xu, Z. Zhao, J. Wu, S. Yu, Multi-modal Attention Network Learning for Semantic Source Code Retrieval. ASE 2019: 13-25
  3. C. Zheng, Y. Cai, J. Xu, H Leung, G. Xu, A Boundary-aware Neural Model for Nested Named Entity Recognition. EMNLP/IJCNLP 2019: 357-366
  4. Y. Shu, G. XuEmotion Recognition from Music Enhanced by Domain Knowledge. PRICAI (1) 2019: 121-134
  5. Z. Wang, Q. Li, G. Li, G. XuPolynomial Representation for Persistence DiagramCVPR 2019: 6123-6132
  6. Z. Zhou, S. Liu, G.Xu*, W Zhang, On Completing Sparse Knowledge Graph with Transitive Relation Embedding, in Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), January 27 – February 1, Honolulu, Hawaii, USA
  7. Y Wan, Z Zhao, M Yang, G Xu, H Ying, J Wu, P S. Yu, Improving Automatic Source Code Summarization via Deep Reinforcement Learning, appeared in ASE 2018 (CORE A)
  8. H. Ying, F. Zhuang, F. Zhang, Y. Liu, G. Xu, X. Xie, H. Xiong, J. Wu, Sequential Recommender System based on Hierarchical Attention Networks, appeared in IJCAI 2018 (CORE A*)
  9. J. Brownlow, C. Chu, B. Fu, G. Xu, B. Culbert, Q. Meng, Cost-sensitive Churn Prediction in Fund Management Services , in the 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018), 21-24 May, 2018, Gold Coast, Australia (CORE A)
  10. N. Vo, S. Liu, G. Xu, Client Churn Prediction with Call Log Analysis, in the 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018), 21-24 May, 2018, Gold Coast, Australia (CORE A)
  11. Z. Zhou, G. Xu, S. Liu, Knowledge-based Recommendation with Hierarchical Collaborative Embedding, in the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), June 3rd - 6th, 2018, Melbourne, Australia (CORE A)
  12. N. Vo, S. Liu, G. Xu, Multimodal Mixture Density Boosting Network for Personality Mining, in the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), June 3rd - 6th, 2018, Melbourne, Australia (CORE A)
  13. Z. Saeed, I. Razzak, R. Abbasi, G. Xu, Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter, in the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), June 3rd - 6th, 2018, Melbourne, Australia (CORE A)
  14. J. Yin, Z. Zhou, S. Liu, Z. Wu, G. Xu, Social Spammer Detection: A Multi-Relational Embedding Approach, in the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), June 3rd - 6th, 2018, Melbourne, Australia (CORE A)
  15. I. Razzak, R. A. Saris, G. Xu, Robust 2D Joint Sparse Principle Component Analysis with F-norm Minimization for Sparse Modelling: 2D-RJSPCA, in the 2018 International Joint Conference on Neural Networks (IJCNN 2018), 8-13 July 2018, Rio De Janeiro, Brazil (CORE A)
  16. J. Brownlow, C. Chu, G. Xu, B. Culbert, B. Fu and Q. Meng, A Multiple Source based Transfer Learning Framework for Marketing Campaigns, in the 2018 International Joint Conference on Neural Networks (IJCNN 2018), 8-13 July 2018, Rio De Janeiro, Brasil (CORE A)
  17. R. Biddle, S. Liu, P. Tilocca, G. XuAutomated Underwriting in Life Insurance: Predictions and OptimisationAustralasian Database Conference (ADC 2018), 135-146, 2018
  18. B. Culbert, B. Fu, J. Brownlow, C. Chu, Q. Meng, G. XuCustomer Churn Prediction in Superannuation: A Sequential Pattern Mining ApproachAustralasian Database Conference (ADC 2018), 123-134, 2018 (Best Student Paper Award)
  19. M Gui, Z Zhang, Z Yang, Y Gu, G XuAn Effective Joint Framework for Document SummarizationCompanion of the The Web Conference 2018 on The Web Conference 2018 (WWW 2018), 121-122
  20. S. Liu, N. Pang, G. Xu, H. Liu, Collaborative Filtering via Different Preference Structures. KSEM 2017: 309-321
  21. L. Hu, L. Cao, S. Wang, G. Xu, J. Cao, Z. Gu, Diversifying Personalized Recommendation with User-session Context. IJCAI 2017: 1858-1864
  22. R. Wu, G. Xu, E. Chen, Q. Liu, W. Ng, Knowledge or Gaming? Cognitive Modelling Based on Multiple-Attempt Response, in 26th International World Wide Web Conference (WWW 2017), 2-7 April, 2017, Perth Australia.
  23. D. Wang, G. Xu and S. Deng, Music Recommendation via Heterogeneous Information Graph Embedding, in the 2017 International Joint Conference (IJCNN 2017), Anchorage, Alaska, USA, May 14–19, 2017.
  24. Z. Zhou, G. Xu, W. Zhu, J. Li, W. Zhang, Structure Embedding for Knowledge Base Completion and Analytics, in the 2017 International Joint Conference (IJCNN 2017), Anchorage, Alaska, USA, May 14–19, 2017.
  25. J. Guo, Y. Bin, Z. Yang, G. Xu, An Enhanced Convolutional Neural Network Model for Answer Selection, in 26th International World Wide Web Conference (WWW 2017), 2-7 April, 2017, Perth Australia
  26. Y Sun, L Li, Z Xie, Q Xie, X Li, G. Xu, Co-training an Improved Recurrent Neural Network with Probability Statistic Models for Named Entity Recognition, in the 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017), March 27-30, 2017, Suzhou, China
  27. Y. Han, Y. Wan, L. Chen, G.Xu, Jian Wu, Exploiting Geographical Location for Team Formation in Social Coding Sites, in the 2017 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), 23-26 May, 2017, Jeju, South Korea
  28. X. Li, G Xu, E. Chen, and L. Xin, Learning User Preferences across Multiple Aspects for Merchant Recommendation, in the Proceedings of the 2015 International Conference on Data Mining (ICDM 2015), 14-17 Nov, 2015, Atlantic City, USA
  29. F. Li, *G. Xu, L. Cao, Coupled Matrix Factorization within Non-IID Context, 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%)
  30. B. Fu, *G. Xu, L. Cao, Coupling Multiple Views of Relations for Recommendation, 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%)
  31. X. Li, *G. Xu, E. Chen, and L. Li, 2015, Mars: A Multi-Aspect Recommender System for Point-Of-Interest, in the Proceeding of 2015 International Conference of Data Engineering (ICDE 2015), 13-17 April, 2015, Seoul, Korea
  32. 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 
  33. 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)
  34. 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
  35. 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)
  36. 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)
  37. 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)
  38. 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)
  39. 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)
  40. 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)
  41. X. Yi, R. Paulet, E. Bertino, G. XuPrivate data warehouse queries. SACMAT 2013: 25-36
  42. Y. You, G. Xu, J. Cao, Y. Zhang, G. Huang, Leveraging Visual Features and Hierarchical Dependencies for Conference Information Extraction. APWeb 2013: 404-416
  43. 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)
  44.  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)
  45. 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)
  46. 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)
  47. 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)
  48. 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)
  49. 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 )
  50. 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)
  51. 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)
  52. 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)
  53. 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)
  54. 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)
  55. 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)
  56. 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.
  57. 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)
  58. 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
  59. 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)
  60. 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)
  61. 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)
  62. 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)
  63. 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)
  64. 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)
  65. 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-Discovery Project (DP200101374), Smart Personalised Privacy Preserved Information Sharing in Social Networks, CI, Amount AU$390K, 2020-2023
  2. ARC-Linkage Project (LP170100891), Reshaping superannuation practice in Australia using big data analytics. Lead CI, Amount AU$416K, 2018-2021
  3. ARC-Linkage Project (LP140100937), Lead CI, Amount AU$360K, 2015-2018
  4. Australia Cooperative Research Centres Projects (CRC-P) grant round 7, Using AI and a hybrid ESS solution to fully integrate solar generation into the distribution system, CI, Amount AU$3M, 2019-2022
  5. AI-enhanced Underwriting systems and insights of Mental Health, Lead CI, Industry Project, Amount AU$250k, 2019-2020
  6. Mining primary care linked data, Co-CI, NSW Ministry of Health, Amount AU$450k, 2019-2020
  7. AI-enhanced Underwriting Model, Lead CI, Industry Project, Amount AU$250k, 2017-2018
  8. Developing quantitative user activeness measures and incentive mechanism over Blockchain-centric virtual network environment, Industry Project, Amount AU$100K, 2018-2019
  9. KeyPlayer FinQ Android App Development, Industry Project, Amount AU$50K, 2018
  10. Personality Mining via Text Mining, Lead CI, Industry Project, Amount AU$260k, 2017
  11. Improving the Faculty of Engineering and IT Building's Visibility, SAS Institute Australia Pty Ltd,  Co-CI, Industry Project, Amount AU$150,387
  12. Optimal Targets for Emergency Treatment Performance, NSW Ministry of Health, Co-CI, Industry Project, Amount AU$114,440, 2018
  13. Emergency Treatment Performance Master Classes, NSW Ministry of Health, Co-CI, Industry Project, Amount AU$112k, 2017
  14. Emergence Department Treatment Performance Analysis, NSW Ministry of Health, Co-CI, Industry Project, Amount AU$150k, 2017
  15. Discovering Deep Insight in SG contribution, Lead CI, Industry Project, Amount AU$258k, 2016
  16. Insurance Claim Prediction Model, Lead CI, Industry Project, Amount AU$100k, 2016
  17. Advanced Analytics to Reveal Novel Insights into ‘Worth of Water’, NSW Department of Primary Industries, 2nd CI, Amount AU$200K
  18. Analytics Internship, Industry Funding, Amount AU$22,500, 2016, AU$12,000, 2017
  19. NSW-Government Analytics Engagement Framework, Lead CI, NSW Trust and Guardian Office, AU$30K, 2016
  20. Building Deep Insights and Advanced Workforce Modeling, Lead CI, Industry Project, Amount AU$274K, 2015

  21. Develop Deep Insights in Customer Retention, Lead CI, Industry Project, Amount AU$255K, 2015

  22. 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)
  23. Australia-India Council Fund (2014), Collaboration with IIT to build a Research Network for Big Data Analytics, Amount AU$22,600
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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.
  29. Endeavour Postdoctoral Fellowship Project funded by Department of Education, Employment and Workplace Relationships,  Amount A$25,000

Awards


Professional Activities

Editorials

  • Assistant Editor-in-Chief, World Wide Web Journal, http://www.Springer.com/11280
  • Editorial Broad, Social Network Analysis and Mining Journal (SNAM)
  • Editorial Broad, International Journal of Web Engineering and Technology (IJWET)
  • Editorial Broad, Journal of Convergence (JoC)
  • Editorial Broad, Human-centric Computing and Information Sciences (HCIS)
  • Editorial Broad, International Journal of Advanced Science and Technology (IJAST)
  • Guest Editor, Pattern Recognition Special Issue on “Graph-based Methods for Large Scale Financial and Business Data Analysis” (2019)
  • Guest Editor, World Wide Web journal Special Issue on Geo-Social Computing (2018)
  • Guest Editor, World Wide Web Journal Special Issue on Geo-Social Computing (2017)
  • Guest Editor, Online Information Review Special Issue on Social Media Analytics (2015)
  • Guest Editor, Multimedia Tools Application Journal on Advanced Technologies and Services forMultimedia Big Data Processing (2015)
  • Guest Editor, International Journal of Social Network Mining Special Issue on Social Knowledge Discovery & Management
  • Guest Editor. the Computer Journal Special Issue on Social Computing and Applications
  • Guest Editor. Journal of Systems and Software Special Issue on Social Cyber Systems
  • Guest Editor, World Wide Web Journal Special Issue on Social Networks and Social Web Mining - Springer http://www.springer.com/computer/database+management+%26+information+retrieval/journal/11280

Keynote, Invited, and Tutorial Talks

  • Keynote: 3rd (2019) International Conference on Machine Vision and Information Technology (CMVIT 2019)
  • Knowledge Graph Embedding and Applications, in PAKDD 2019, April 14-18, Macau, China
  • Advances in Recommender System, in PAKDD 2017, May 23-26, 2017, Jeju, South Korea
  • Point-of-Interest Recommendation in Location-based Social Networks, in KMO 2015, Aug 24-28, Maribor, Slovenia
  • Social Recommender Systems, in KMO 2013, September 8-13, 2013, Kaohsiung, Taiwan 
  • Data Mining in Recommender Systems, in The 8th International Conference on Advanced Data Mining and Applications (ADMA'2012), Dec 15-18, Nanjing, china
      Conference/Workshop Organizing

  • [PC Chair, 2017] The 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2017), Sydney, Australia, 31 July - 03 August, 2017
  • [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

  • [ICDM18 PC], the 2018 IEEE International Conference on Data Mining, 17-20 November, 2018 in Singapore
  • [ICDM15 PC], the 2015 IEEE International Conference on Data Mining, 14-17 November, 2014, Atlantic City NJ, USA
  • [ICDM14 PC], the 2014 IEEE International Conference on Data Mining, 14-17 December, 2014, Shenzhen, China 
  • [AAAI19 PC], The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Jan 27, 2019 - Feb 1, 2019, Honolulu, Hawaii, USA
  • [AAAI18 PC], The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2–7 Nov, 2018, New Orleans, U
  • [KDD19 PC], 25th ACM SIGKDD international conference on knowledge discovery and data mining
  • [KDD16 PC], 22nd ACM SIGKDD international conference on knowledge discovery and data mining, Aug 13, 2016 - Aug 17, 2016, San Francisco, USA
  • [RecSys19 PC], 12th ACM Conference on Recommender Systems. Copenhagen
  • [RecSys18 PC], 12th ACM Conference on Recommender Systems. Vancouver, Canada, 2nd-7th October 2018.
  • [RecSys17 PC], 11th ACM Conference on Recommender Systems. Como, Italy, 27th-31st August 2017
  • [PAKDD18 PC], The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, June 3-6 2018, Melbourne, Australia
  • [PAKDD17 PC], The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 23-26, 2017, Jeju, South Korea
  • [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
Ċ
Guandong Xu,
Feb 16, 2017, 5:17 PM