pub.gif (1713 bytes) PUBLICATIONS

 


Books and Book Chapters

  1. Q. Yu, On bootstrapping web service recommendation. Handbook of Web Services, Springer, 2013.

  2. Q. Yu and A. Bouguettaya, Foundations for Efficient Web Service Selection, Springer-Verlag, ISBN: 978-1-4419-0313-6, 2009.

  3. A. Bouguettaya and Q. Yu, SLINK and UPGMA Clustering of High Dimensional Data. Encyclopedia of Data Warehousing and Mining-2nd Edition, 2008.

  4. Q. Yu, K. C. Tan, and T. H. Lee, An evolutionary algorithm for rules discovery in data mining, Evolutionary Computation in Data Mining, A. Ghosh and L. C. Jain (Eds.), Physica-Verlag, Germany, pp. 101-123, 2005.

Journals

  1. X. Liu, W. Shi, A. Kale, C. Ding, and Q. Yu Statistical Learning of Domain-Specific Quality-of-Service Features from User Reviews , ACM Trans. Internet Techn. (TOIT) , 17(2): 22:1-22:24 (2017).

  2. H. Wang, L. Wang, Q. Yu, Z. Zheng, A. Bouguettaya, and M. Lyu Online Reliability Prediction via Motifs-based Dynamic Bayesian Networks for Service-Oriented Systems , IEEE Transactions on Software Engineering (TSE), 43(6): 556-579, 2017.

  3. Bouguettaya, A., Singh, M., Huhns, M., Sheng, Q.Z., Dong, H., Yu, Q., Neiat, A.G., Mistry, S., Benatallah, B., Medjahed, B., Ouzzani, M., Casati, F., Liu, X., Wang, H., Georgakopoulos, D., Chen, L., Nepal, S., Malik, Z., Erradi, A., Wang, Y., Blake, B., Dustdar, S., Leymann, F., Papazoglou, M., A Service Computing Manifesto: The Next Ten Years, Communications of the ACM (CACM), 60(4): 64-72, 2017 (PDF).

  4. H. Wang, P. Ma, Q. Yu, D. Yang, J. Li, and Huanhuan Fei Combining quantitative constraints with qualitative preferences for effective non-functional properties-aware service composition , J. Parallel Distrib. Comput., 100: 71-84 (2017).

  5. H. Wang, L. Wang, X. Chen, Q. Wu, Q. Yu, X. Hu, Z. Zheng, and A. Bouguettaya Integrating Reinforcement Learning with Multi-Agent Techniques for Adaptive Service Composition , ACM Transactions on Autonomous and Adaptive Systems (TAAS), 2(2): 8:1-8:42 (2017).

  6. X. Guo, Q. Yu, R. Li, C. Alm, C. Calvelli, P. Shi, and A. Haake, Intelligent Medical Image Grouping through Interactive Learning , International Journal of Data Science and Analytics (JDSA), 2(3-4): 95-105 (2016).

  7. H. Wang, C. Yu, L. Wang, and Q. Yu, Effective BigData-Space Service Selection over Trust and Heterogeneous QoS Preferences, IEEE Transactions on Services Computing (TSC), Accepted, 2016 (PDF).

  8. H. Wang, X. Wang, X. Zhang, Q. Yu, and X. Hu, Effective service composition using multi-agent reinforcement learning, Knowledge-Based Systems, 92: 151-168 (2016).

  9. Q. Yu, CloudRec: A Framework for Personalized Service Recommendation in the Cloud, Knowledge and Information Systems (KAIS), vol. 43, no. 2, pp. 417-443, 2015, (PDF).

  10. A. Bouguettaya, Q. Yu, X. Liu, X. Zhou, and A. Song, Efficient agglomerative hierarchical clustering, Expert Syst. Appl., vol. 42, no. 5, pp. 2785-2797, 2015, (PDF).

  11. J. Wu, L. Chen, Q. Yu, P. Han, and Z. Wu, Trust-aware Media Recommendation in Heterogeneous Social Networks, World Wide Web Journal (WWWJ), vol. 18, no. 1, pp. 139-157, 2015.(PDF).

  12. X. Guo, Q. Yu, C. Alm, C. Calvelli, J. Pelz, P. Shi, and A. Haake, From spoken narratives to domain knowledge: Mining linguistic data for medical image understanding , International Journal of Artificial Intelligence in Medicine (AIIM), vol. 66, no. 2, pp. 79-90, 2014.

  13. X. Chen, Z. Zheng, Q. Yu, and Michael R. Lyu, Web Service Recommendation via Exploiting Location and QoS Information, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 25, no. 7, pp. 1913-1924, 2014. (PDF).

  14. Q. Yu, Qos-aware Service Selection via Collaborative QoS Evaluation, World Wide Web Journal (WWWJ), vol. 14, no. 1, pp. 33-57, 2014 (PDF).

  15. Q. Yu, Efficient Large-scale Service Clustering via Sparse Functional Representation and Accelerated Optimization, International Journal of Cooperative Information Systems (IJCIS), vol. 22, no. 4, 2013 (PDF).

  16. J. Wu, L. Chen, Q. Yu, L. Kuang, Y. Wang, and Z. Wu, Selecting Skyline Services for QoS-aware Composition by Upgrading MapReduce Paradigm, Cluster Computing, vol. 16, no. 4, pp 693-706, 2013 (PDF).

  17. J. P. Andhale, M. Rege, and Q. Yu, Discovering Heterogeneous Evolving Web Service Communities Using Semi-Supervised Non Negative Matrix Factorization, International Journal of Machine Learning and Computing (IJMLC), vol. 3, no. 2, 2013 (PDF).

  18. Q. Yu and A. Bouguettaya, Efficient Service Skyline Computation for Composite Service Selection, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 25, no. 4, pp. 776-789, 2013 (PDF).

  19. Q. Yu and J. Kang, Integrating User Invocation Data and Extended Semantics for Service Community Discovery, International Journal of Next-Generation Computing (IJNGC), vol. 3, no. 2, 2012 (PDF).

  20. Q. Yu and A. Bouguettaya, Multi-Attribute Optimization in Service Selection, World Wide Web Journal (WWWJ), vol. 15, no. 1, pp. 1-31, 2012 (PDF). [Invited for a book publication in Springer as one of the mostly cited papers in the World Wide Web Journal]

  21. A. Bouguettaya, Q. Yu, Xumin Liu, and Z. Malik, Service-centric Framework for a Digital Government Application, IEEE Transactions on Services Computing (TSC), vol. 4, no. 1, pp. 3-16, 2011 (PDF).

  22. K. Xu, Q. Yu, Q. Liu, J. Zhang, and A. Bouguettaya, Web Service management system for bioinformatics research: a case study, Service Oriented Computing and Applications (SOCA), Springer, vol 5, no. 1, pp.1-15, 2011 (PDF).

  23. X. Liu, A. Bouguettaya, Q. Yu, and Z. Malik, Efficient change management in long-term composed services, Service Oriented Computing and Applications (SOCA), Springer, vol 5, no. 2, pp.87-103, 2011 (PDF).

  24. Q. Yu, M. Rege, A. Bouguettaya, B. Medjahed and M. Ouzzani, A Two-phase Framework for Quality-aware Web Service Selection, Service Oriented Computing and Applications (SOCA), Springer, vol 4, no. 2, pp.63-79, 2010 (PDF).

  25. Q. Yu and A. Bouguettaya, Computing Service Skyline from Uncertain QoWS, IEEE Transactions on Services Computing (TSC), vol. 3, no.1, pp. 17-29, 2010 (PDF).
  26. Q. Yu and A. Bouguettaya, Guest Editorial: Special Section on Query Models and Efficient Selection of Web Services, IEEE Transactions on Services Computing (TSC), vol. 3, no.3, pp. 161-162, 2010 (PDF).

  27. K. C. Tan, E. J. Teoh, Q. Yu and K. C. Goh, A hybrid evolutionary algorithm for attribute selection in data mining, Expert Systems With Applications: An International Journal, Elsevier, vol. 36, no. 4, 2009 (PDF).

  28. M. Rege and Q. Yu, Efficient Mining of Heterogeneous Star-structured Data, International Journal of Software and Informatics, Chinese Academy of Sciences, vol. 2, no. 2, pp. 141-161, 2008 (PDF).

  29. Q. Yu and A. Bouguettaya, Framework for Web Service Query Algebra and Optimization, ACM Transactions on the Web (TWEB), ACM Press, vol. 2, no. 1, pp. 1-35, 2008.

  30. Q. Yu, X. Liu, A. Bouguettaya, and B. Medjahed, Deploying and Managing Web Services: Issues, Solutions, and Directions, VLDB Journal, Springer, vol. 17, no. 3, pp. 537-572, 2008.

  31. K. C. Tan, Q. Yu, and J. H. Ang, A dual-objective evolutionary algorithm for rules extraction in data mining, Computational Optimization and Applications, Springer, vol. 34, pp. 273-294, 2006.

  32. K. C. Tan, Q. Yu, J. H. Ang, and T. H. Lee, A coevolutionary algorithm for rules discovery in data mining, International Journal of Systems Science, Taylor & Francis, vol. 37, no. 12, pp. 835-864, 2006.

  33. K. C. Tan, Q. Yu, and T. H. Lee, A distributed coevolutionary classifier for knowledge discovery in data mining, IEEE Transactions on Systems, Man and Cybernetics: Part C (Applications and Reviews), IEEE, vol. 35, no. 2, pp. 131-142, 2005.

  34. K. C. Tan, Q. Yu, C. M. Heng, and T. H. Lee, Evolutionary Computing for Knowledge Discovery in Medical Diagnosis. Artificial Intelligence in Medicine, vol. 27, no. 2, pp. 129-154, 2003.

Conferences

  1. X. Guo, R. Li, Q. Yu, and A. Haake Modeling Physicians' Utterances to Explore Diagnostic Decision-making , International Joint Conference on Artificial Intelligence (IJCAI), 2017: 3700-3706.

  2. W. Shi, X. Liu, and Q. Yu, Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation , IEEE International Conference on Web Services (ICWS), Honolulu, HI, 2017 (Research Track: 21%): 229-236.

  3. H. Wang, Z. Yang, and Q. Yu, Online Reliability Prediction via Long Short Term Memory for Service-Oriented Systems , IEEE International Conference on Web Services (ICWS), Honolulu, HI, 2017 (Research Track: 21%): 81-88.

  4. S. Peng, H. Wang, and Q. Yu, Estimation of Distribution with Restricted Boltzmann Machine for Adaptive Service Composition , IEEE International Conference on Web Services (ICWS), Honolulu, HI, 2017 (Research Track: 21%): 114-121.

  5. X. Liu, S. Argwal, C. Ding, and Q. Yu, A LDA-SVM Active Learning Framework for Web Service Classification , IEEE International Conference on Web Services (ICWS), San Francisco, 2016 (Research Track: 13%)(PDF).

  6. H. Wang, G. Huang, and Q. Yu, Automatic Hierarchical Reinforcement Learning for Efficient Large-scale Service Composition , IEEE International Conference on Web Services (ICWS), San Francisco, 2016 (Research Track: 13%)(PDF).

  7. H. Wang, X. Zhang, and Q. Yu, Integrating POMDP and SARSA(λ) for Service Composition with Incomplete Information, 13th International Conference on Service Oriented Computing (ICSOC 2016), Alberta, Canada, 2016 (Short reserach paper)(PDF).

  8. Y. Wan, L. Chen, Q. Yu, T. Liang, and J. Wu, Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization , 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Auckland, New Zealand, 2016.

  9. X. Guo, Q. Yu, R. Li, C. Alm, C. Calvelli, P. Shi, and A. Haake, An Expert-in-the-loop Paradigm for Learning Medical Image Grouping , 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Auckland, New Zealand, 2016.

  10. A. Jain, X. Liu, and Q. Yu, Aggregating Functionality, Use History, and Popularity of APIs to Recommend Mashup Creation, 12th International Conference on Service Oriented Computing (ICSOC 2015), Goa India, 2015 (Full reserach paper: 16%)(PDF).

  11. H. Wang, Q. Wu, and X. Chen, and Q. Yu, Integrating Gaussian Process with Reinforcement Learning for Adaptive Service Composition, 12th International Conference on Service Oriented Computing (ICSOC 2015), Goa India, 2015 (Full reserach paper: 16%)(PDF).

  12. Q. Yu, H. Wang, and L. Chen, Learning Sparse Functional Factors for Large-scale Service Clustering, IEEE International Conference on Web Services (ICWS), New York, 2015 (Research Track: 17.4%)(PDF).

  13. L. Chen, Q. Yu, and J. Wu, WS-HFS: A Heterogenous Feature Selection Framework for Web Services Mining, IEEE International Conference on Web Services (ICWS), New York, 2015 (Research Track: 17.4%)(PDF).

  14. X. Liu, A. Kale, J. Wasani, C. Ding, and Q. Yu, Extracting, Ranking, and Evaluating Quality Features of Web Services through User Review Sentiment Analysis, IEEE International Conference on Web Services (ICWS), New York, 2015 (Research Track: 17.4%)(PDF).

  15. W. Yao, L. Chen, J. Wu, and Q. Yu, Time-aware API Popularity Prediction via Heterogeneous Features, IEEE International Conference on Web Services (ICWS), New York, 2015 (Application Track: 21.9%)(PDF).

  16. H. Wang, S. Zhou, and Q. Yu, Requirement Decomposition Through Service Discovery, IEEE International Conference on Web Services (ICWS), New York, 2015 (Short Paper Track)(PDF).

  17. H. Wang, X. Chen, Q. Wu, Q. Yu, Z. Zheng, and A. Bouguettaya, Integrating on-policy reinforcement learning with multi-agent techniques for adaptive service composition, 12th International Conference on Service Oriented Computing (ICSOC 2014), Paris, France, 2014 (Acceptance rate: 15%) (PDF).

  18. J. Bullard, C. Alm, Q. Yu, P. Shi, and A. Haake, Towards multimodal modeling of physicians’ diagnostic confidence and self-awareness using medical narrative, 25th International Conference on Computational Linguistics (COLING), Dublin, Ireland 2014 (PDF).

  19. H. Wang, L. Wang, Q. Yu, Z. Zheng, A Novel Online Reliability Prediction Approach for Service-Oriented Systems, IEEE International Conference on Web Services (ICWS), Alaska, 2014 (PDF).

  20. H. Wang, Q. Wu, X. Chen, Q. Yu, Z. Zheng, Adaptive and Dynamic Service Composition via Multi-agent reinforcement learning, IEEE International Conference on Web Services (ICWS), Alaska, 2014 (PDF).

  21. Q. Yu, Z. Zheng, and H. Wang, Trace Norm Regularized Matrix Factorization for Service Recommendation, IEEE International Conference on Web Services (ICWS), Santa Clara CA, 2013 (Acceptance rate: 19%) (PDF).

  22. L. Chen, Y. Wang, Q. Yu, Z. Zheng, and J. Wu, WT-LDA: User Tagging Augmented LDA for Web Service Clustering, 11th International Conference on Service Oriented Computing (ICSOC 2013), Berlin, Germany, 2013 (Acceptance rate: 13%) (PDF).

  23. L. Wang, H. Wang, Q. Yu, H. Sun, and A. Bouguettaya, Online Reliability Time Series Prediction for Service-Oriented System of Systems, 11th International Conference on Service Oriented Computing (ICSOC 2013), Short paper, Berlin, Germany, 2013, (Acceptance rate 22%) (PDF).

  24. H. Wang, H. Sun, and Q. Yu, Reliable Service Composition via Automatic QoS Prediction, 10th International Conference on Services Computing (SCC 2013), Santa Clara CA, 2013 (PDF).

  25. H. Wang, X. Wang, and Q. Yu, Optimal Self-Healing of Service-Oriented Systems with Incomplete Information, IEEE Big Data Congress, Santa Clara CA, 2013 (PDF).

  26. S. Naik and Q. Yu, Evolutionary User Selection to Maximize the Influence of Viral Marketing, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Poster, Niagara Falls, Ontario, Canada, 2013 (PDF).

  27. Q. Yu, Sparse Functional Representation for Large-scale Service Clustering, 10th International Conference on Service Oriented Computing (ICSOC 2012), Shanghai, China, 2012 (Acceptance rate 17%) (PDF). [Invited to International Journal of Cooperative Information Systems 'Special Issue on Best Papers' of ICSOC'12]

  28. Q. Yu, Decision Tree Learning from Incomplete QoS to Bootstrap Service Recommendation, IEEE International Conference on Web Services (ICWS), Honolulu, Hawaii, 2012 (Acceptance rate 17%) (PDF).

  29. Q. Yu, Place Semantics into Context: Service Community Discovery from the WSDL Corpus, 9th International Conference on Service Oriented Computing (ICSOC 2011), Paphos, Cyprus, 2011 (Acceptance rate 16%) (PDF).

  30. A. Knight, Q. Yu and M. Rege, Efficient Range Query Processing on Uncertain Data, IEEE International Conference on Information Reuse and Integration (IRI), Las Vegas NV, 2011 (PDF). [Invited to "Information Reuse and Integration in Academia and Industry", Springer]

  31. B. Desai, P. Andhale, M. Rege, and Q. Yu, Biclustering and Feature Selection Techniques in Bioinformatics, Workshop on Data Mining with Graphs and Matrices (WDGM'10), in conjunction with International Conference on Data Engineering and Management (ICDEM), TN, India, 2010 (PDF).
  32. Q. Yu and M. Rege, On Service Community Learning: A Co-Clustering Approach, IEEE International Conference on Web Services (ICWS), Miami FL, 2010 (Acceptance rate 17%) (PDF).

  33. Q. Yu and A. Bouguettaya, Computing Service Skylines over Sets of Services, IEEE International Conference on Web Services (ICWS), Miami FL, 2010 (Acceptance rate 17%) (PDF).

  34. Q. Yu and M. Rege, A Relational Approach for Efficient Service Selection, IEEE International Conference on Web Services (ICWS), Los Angeles CA, 2009 (Acceptance rate 18%) (PDF).

  35. A. Bouguettaya, D. Gracanin, Q. Yu, X. Zhang, X. Liu, and Z. Malik, WebSenior: A Digital Government Infrastructure for Senior Citizens. International Workshop on the Management of Business Processes in Government, co-located with 5th International Conference on Business Process Management (BPM 2007), Brisbane, Australia, September 2007

  36. A. Bouguettaya, D. Gracanin, Q. Yu, X. Zhang, X. Liu, and Z. Malik, Ubiquitous Web Services for E-Government Social Services, AAAI Spring Symposium The Semantic Web meets eGovernment, Stanford University, California, USA, March 27-29, 2006.

  37. A. Bouguettaya, B. Medjahed, A. Rezgui, M. Ouzzani, X. Liu, and Q. Yu, WebDG - A platform for E-Government Web services. ER (Workshops) 2004: 553-565, November 2004.

 


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