URL: http://www.cse.cuhk.edu.hk/~jjxiong
Email: jjxiong@cse.cuhk.edu.hk

1. “A Reliable and Efficient MAC protocol for Underwater Acoustic Sensor Networks,” J. Xiong, M.R. Lyu, and K. Ng, International Journal of Distributed Sensor Networks (IJDSN), special issue on Sensor Networks for High-Confidence Cyber-Physical Systems, Oct 2011.
   Paper [DS]
   
   

1. “RealProct: Reliable Protocol Conformance Testing with Real Nodes for Wireless Sensor Networks”, J. Xiong, E. C.-H. Ngai, Y. Zhou, and M.R. Lyu, in Proceedings of the 10th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2011), Changsha, China, November 16-18, 2011.
   [Paper] [Presentation] [DS]
   
   
2. “Mitigate the Bottleneck of Underwater Acoustic Sensor Networks via Priority Scheduling”, J. Xiong, M.R. Lyu, and K-W Ng, in Proceedings of the 6th International Conference on Mobile Ad-hoc and Sensor Networks (MSN 2010), Hangzhou, China, December 20-22, 2010.
   [Paper] [Presentation] [DS]
   
   
3. “Energy-efficient On-demand Contour Service for Wireless Sensor Networks,” Y. Zhou, J. Xiong, M.R. Lyu, J. Liu, and K.W. Ng, in Proceedings of the 6th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS 2009), Macau S.A.R., October 12-15, 2009.
   [Paper] [DS]
   
   

URL: http://www.cse.cuhk.edu.hk/~czhou
Email: czhou@cse.cuhk.edu.hk

1. “Component Ranking for Fault-Tolerant Cloud Applications,” Z. Zheng, C. Zhou, M. R. Lyu, and I. King, IEEE Transactions on Service Computing (TSC), vol. 4, no. 3, Jul 2011, pp. 1-12.
   Paper [DS]
   
   
2. “Improving Recommender Systems by Incorporating Social Contextual Information,” H. Ma, C. Zhou, M.R. Lyu and I. King, ACM Transactions on Information Systems (TOIS), vol. 29, no. 2, April 2011.
   [paperML]
   
   

* Tom Chao Zhou, Michael R. Lyu and Irwin King. A Classification-based Approach to Question Routing in Community Question Answering. In Proceedings of the 1st Workshop on Community Question Answering on the Web (CQA 2012), in conjunction with WWW 2012, Lyon, France, April 16 - 20, 2012. paper

* Tom Chao Zhou, Chin-Yew Lin, Irwin King, Michael R. Lyu, Young-In Song and Yunbo Cao. Learning to Suggest Questions in Online Forums. In Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI-11), pp 1298–1303, San Francisco, California, USA, August 7 - 11, 2011. paper

* Zibin Zheng, Tom Chao Zhou, Michael R. Lyu, and Irwin King. FTCloud: A Ranking-based Framework for Fault Tolerant Cloud Applications. In proceedings of the 21st IEEE International Symposium on Software Reliability Engineering (ISSRE2010), pp 398-407, San Jose CA, USA, November 1-4, 2010. paper

* Tom Chao Zhou, Hao Ma, Michael R. Lyu, Irwin King. UserRec: A User Recommendation Framework in Social Tagging Systems. In Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI-10), pp 1486–1491, Atlanta, Georgia, USA, July 11 - 15, 2010. paper

* Tom Chao Zhou, Irwin King. Automobile, Car and BMW: Horizontal and Hierarchical Approach in Social Tagging Systems. In Proceedings of The 2nd Workshop on Social Web Search and Mining (SWSM 2009), in conjunction with CIKM 2009, pp 25-32, Hong Kong, November 2‐6, 2009. paper

* Tom Chao Zhou, Hao Ma, Irwin King, Michael R. Lyu. TagRec: Leveraging Tagging Wisdom for Recommendation. In Proceedings of IEEE International Symposium on Social Intelligence and Networking (SIN'09), pp 194–199, Vancouver, Canada, 29-31 August, 2009. paper

* Chao Zhou. SOPING: A Chinese Customer Review Mining System. (An extension work of my SIGIR 2008 paper.) The 3rd Beijing-Hong Kong International Doctoral Forum, Best Paper Award, 2008.

* Chao Zhou, Guang Qiu, Kangmiao Liu, Jiajun Bu, Mingcheng Qu, Chun Chen. SOPING: a Chinese customer review mining system. In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’08), pp 741-742, Singapore, 20-24 July, 2008. paper

URL: http://www.cse.cuhk.edu.hk/~ylzhang
Email: ylzhang@cse.cuhk.edu.hk

1. “WSPred: A Time-Aware Personalized QoS Prediction Framework for Web Services”, Yilei Zhang, Zibin Zheng, Michael R. Lyu, in Proceedings of the 22th IEEE Symposium on Software Reliability Engineering (ISSRE 2011), Hiroshima, Japan, Nov. 29-Dec. 2, 2011.
   [DS][AR: 25%]
   
   
2. “Exploring Latent Features for Memory-Based QoS Prediction in Cloud Computing”, Yilei Zhang, Zibin Zheng, Michael R. Lyu, in Proceedings of the 30th IEEE Symposium on Reliable Distributed Systems (SRDS 2011), Madrid, Spain, Oct. 4-7, 2011.
   [DS][AR: 26.1%]
   
   
3. “BFTCloud: A Byzantine Fault Tolerance Framework for Voluntary-Resource Cloud Computing”, Yilei Zhang, Zibin Zheng, Michael R. Lyu, in Proceedings of the 4th IEEE International Conference on Cloud Computing (CLOUD 2011), Washington DC, USA, Jul. 4-9, 2011.
   [Paper] [DS][AR: 19%]
   
   
4. “WSExpress: A QoS-Aware Search Engine for Web Services”, Yilei Zhang, Zibin Zheng, Michael R. Lyu, in Proceedings of the 8th IEEE International Conference on Web Services (ICWS 2010), Miami, Florida, USA, Jul. 5-10, 2010, pp.91-98.
   [Paper] [DS][AR: 17.6%] Best Paper Award Nomination
   
   
5. “Distributed QoS Evaluation for Real-World Web services”, Zibin Zheng, Yilei Zhang, Michael R. Lyu, in Proceedings of the 8th IEEE International Conference on Web Services (ICWS 2010), Miami, Florida, USA, Jul. 5-10, 2010.
   [Paper] [DS][AR: 17.6%] Best Student Paper Award
   
   
6. “CloudRank: A QoS-Driven Component Ranking Framework for Cloud Computing”, Zibin Zheng, Yilei Zhang, Michael R. Lyu, in proceedings of the 29th IEEE International Symposium on Reliable Distributed Systems (SRDS 2010), New Delhi, India. Oct. 31-Nov. 3, 2010.
   [DS][AR: 22.6%]
   
   

URL: http://www.cse.cuhk.edu.hk/~qrzhang/
Email: qrzhang@cse.cuhk.edu.hk

1. “Flow-Augmented Call Graph: A New Foundation for Taming API Complexity,”, Qirun Zhang, Wujie Zheng, and M.R. Lyu, To appear in Fundamental Approaches to Software Engineering (FASE'11), Saarbrücken, Germany, 26 March - 3 April, 2011.
2. “Random Unit-Test Generation with MUT-aware Sequence Recommendation,”, Wujie Zheng, Qirun Zhang, M.R. Lyu, and Tao Xie, in Proceedings of the 25th IEEE/ACM International Conference on Automated Software Engineering (ASE 2010), Short Paper, Antwerp, Belgium, September 2010.

URL: http://www.cse.cuhk.edu.hk/~ykang
Email: ykang@cse.cuhk.edu.hk

1. “A User Experience-based Cloud Service Redeployment Mechanism”, Yu Kang , Yangfan Zhou, Zibin Zheng, and M. R. Lyu, in Proceedings of the 4th IEEE International Conference on Cloud Computing (CLOUD2011), Research Track, Washington D.C. US, July 4-9, 2011, pp.227-234. Paper

URL: http://www.cse.cuhk.edu.hk/~gling
Email: gling@cse.cuhk.edu.hk

URL: http://www.cse.cuhk.edu.hk/~sychen
Email: sychen@cse.cuhk.edu.hk

URL: http://www.cse.cuhk.edu.hk/~bcli
Email: bcli@cse.cuhk.edu.hk

“Learning in Community Question Answering Services” (tentative)

1. “Predicting User Evaluations of Spoken Dialog Systems using Semi-Supervised Learning”, Baichuan Li, Zhaojun Yang, Yi Zhu, Helen Meng, Gina Levow and Irwin King, In Proceedings of the 3rd IEEE Workshop on Spoken Language Technology (SLT2010), Berkeley, USA, 2010
2. “Routing Questions to Appropriate Answerers in Community Question Answering Services”, Baichuan Li and Irwin King, In Proceeding of the ACM 19th conference on Information and Knowledge Management (CIKM2010, short paper in IR track), Toronto, Canada, 2010
3. “Attacking Online Social Networks with Semi-Supervised Learning”, Mingzhen Mo, Dingyan Wang, Baichuan Li, Dan Hong, and Irwin King, In Proceedings of the 2010 International Joint Conference on Neural Networks (IJCNN2010), Barcelona, Spain, 2010.
4. “Communities of Yahoo! Answers and Baidu Zhidao: Complementing or Competing?”, B. Li, M.R. Lyu, and I. King, in Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN2012), Brisbane, Australia, June 10 - 15, 2012.
   Paper [ML]
   
   
5. “Analyzing and Predicting Question Quality in Community Question Answering Services”, B. Li, T. Jin, M.R. Lyu, I. King, and B. Mak, in Proceedings of the 1st Workshop on Community Question Answering on the Web (CQA 2012), in conjunction with WWW 2012, Lyon, France, April 16 - 20, 2012.
   Paper [ML]
   
   

URL: http://www.cse.cuhk.edu.hk/~jmzhu
Email: jmzhu@cse.cuhk.edu.hk

“Efficient Service Recommendation System for Service-oriented Computing and Cloud Computing” (tentative)

URL: http://www.cse.cuhk.edu.hk/~ccheng
Email: ccheng@cse.cuhk.edu.hk

“Recommendation Systems for Mobile Location Based Service” (tentative)

Professor, Beijing Normal University
Graduated in 2002
URL: Homepage
Email: pguo@bnu.edu.cn

• “Studies of Model Selection and Regularization for Generalization in Neural Networks with Applications” thesis

• “Pseudoinverse Learning Algorithm for Feedforward Neural Networks,” P. Guo and Michael R. Lyu, in Advances in Neural Networks and Applications (NNA '01), N.E.Mastorakis Eds., WSES Press (Athens), pp.321-326, 2001. Paper

• “Cluster Number Selection for a Small Set of Samples Using the Bayesian Ying-Yang Model,” P. Guo, C.L.P. Chen, and M.R. Lyu, IEEE Transactions on Neural Networks, vol. 13, no. 3, May 2002, pp. 757-763. Paper

• “Regularization Parameter Estimation for Feedforward Neural Networks,” P. Guo, M.R. Lyu, and C.L.P. Chen, IEEE Transactions on Systems, Man, and Cybernatics, Part B, December 2002. Paper
• “A Pseudoinverse Learning Algorithm for Feedforward Neural Networks with Stacked Generalization Applications to Software Reliability Growth Data,” P. Guo and M.R. Lyu, Neurocomputing, vol. 56, 2004, pp. 101-121. Paper

• “A Study on Color Space Selection for Determining Image Segmentation Region Number,” P. Guo and M.R. Lyu, in Proceedings of the International Conference on Artificial Intelligence (IC-AI'2000), Las Vegas, Nevada, June 26-29, 2000, pp. 1127-1132. Paper
• “Classification for High-Dimension Small-Sample Data Sets Based on Kullback-Leibler Information Measure,” P. Guo and M.R. Lyu, in Proceedings of the International Conference on Artificial Intelligence (IC-AI'2000), Las Vegas, Nevada, June 26-29, 2000, pp. 1187-1193. Paper
• “Software Quality Prediction using Mixure Model with EM algorithm,” P. Guo and Michael R. Lyu, in Proceedings of the First Asia-Pacific Conference on Quality Software (APAQS 2OOO), ed. by TSE & CHEN, pp69-78, Hong Kong, October 3O-31, 2OOO. Paper
• “A Case Study on Stacked Generalization with Software Reliability Growth Modeling Data,” P. Guo and M.R. Lyu, in Proceedings 8th International Conference on Neural Information Processing, Shanghai, China, Nov. 14-18 2001, pp. 1321-1326. Paper
• “Pseudoinverse Learning Algorithm for Feedfoword Neural Networks,” P. Guo and M.R. Lyu, Advances in Neural Networks and Applications, N.E. Mastorakis (ed.), Artificial Intelligence Series, World Scientific and Engineering Society Press, 2001, pp. 321-326. Paper
• “Comparative Studies on Feature Extraction Methods for Multispectral Remote Sensing Image Classification”, Y.Q. Tian, P. Guo, and M.R. Lyu, IEEE International Conference on System, Man and Cybernetics, Hawaii, USA, October 10-12, 2005.Paper
• “A Novel Method for Early Software Quality Prediction Based on Support Vector Machine”, F. Xing, P. Guo, and M.R. Lyu, in Proceedings 16th International Symposium on Software Reliability Engineering (ISSRE'2005), Chicago, Illinois, November 8-11, 2005. Paper[presentation]
• “Comparative Studies on the CT Image Reconstruction Based on the RBF Neural Networks,” H. Ming, G. Ping, M.R. Lyu, in Proceedings of the 11th Joint International Computer Conference (JICC'2005), Chongqing, China, November 10-12, 2005. Paper

• 93 Spring: “Pseudoinverse Learning Algorithm for Feedforward Neural Networks”

Graduated in 2004
URL: Homepage
Email: kzhuang@frdc.fujitsu.com

• “Learning From Data Locally and Globally,” July 2004.thesispresentation

• Excellent Award for Best Research Output 2006
• President Award in Fujitsu Labs 2006

• “Improving Chow-Liu Tree Performance By Mining Association Rules,” K. Huang, I. King, M.R. Lyu, and H. Yang, Neural Information Processing: Research and Development. Series: Studies in Fuzziness and Soft Computing, Vol. 152. Rajapakse, Jagath C.; Wang, Lipo (Eds.). Springer-Verlag. 2004, pp. 94-112. Paper
• “Local Learning vs. Global Learning: An Introduction to Maxi-Min Margin Machine,” K. Huang, H. Yang, I. King, and M.R. Lyu, Support Vector Machines: Theory and Applications, Wang, Lipo (Eds.), Springer, vol. 177, 2005, pp. 113-132. Paper
• “Minimum Error Minimax Probability Machine,” K. Huang, H. Yang, I. King, M.R. Lyu, and L. Chan, Journal of Machine Learning Research, issue 5, October 2004, pp. 1253-1286. Paper
• Maximizing Sensitivity in Medical Diagnosis Using Biased Minimax Probability Machine,” K. Huang, H. Yang, I. King and M.R. Lyu, IEEE Transactions on Biomedical Engineering, vol. 53, no. 5, May 2006, pp. 821- 831.Paper
• “Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally,” K. Huang, H. Yang, M.R. Lyu, and I. King, IEEE Transactions on Neural Networks, vol. 19, iss. 2, pp. 260-272, 2008.Paper

• “Learning Maximum Likelihood Semi-Naive Bayesian Network Classifier,” K. Huang, I. King and M.R. Lyu, Proc. 2nd IEEE International Conference on Systems Man and Cybernetics, Hammamet, Tunisia, October 6-9, 2002, pp. TA1F3. Paper [presentation]
• “Constructing a Large Node Chow-Liu Tree Based On Frequent Itemsets,” K. Huang, I. King, and M. R. Lyu, Proc. 9th International Conference on Neural Information Processing, Orchid Country Club , Singapore , November 18-22 2002, pp. 498-502. Paper
• “Finite Mixture Model of Bounded Semi-Naive Bayesian Networks Classifiers,” K. Huang, I. King, and M.R. Lyu, in Lecture Notes of Computer Science, Joint 13th International Conference on Artificial Neural Networks and 10th International Conference on Neural Information Processing (ICANN&ICONIP 2003), June 26-29, 2003, Istanbul, Turkey; Publisher: Springer-Verlag Heidelberg, vol. 2714 / January 2003, pp. 115-122. Paper[presentation]
• “Discriminative Training of Bayesian Chow-Liu Tree Multinet Classifiers,” K. Huang, I. King, and M. R. Lyu, in Proceedings International Joint Conference on Neural Network 2003 (IJCNN2003), pp. 484-488, Portland , Oregon , July 20-24 2003. Paper[presentation]
• “Biased Minimax Probability Machine for Medical Diagonsis,” K. Huang, H. Yang, I. King, M. R. Lyu, and L.W. Chan, Proceedings the Eighth International Symposium on Artificial Intelligence and Mathematics (AMAI'2004), Fort Lauderdale, Florida, January 4-6, 2004. Paper
• “Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine”, K. Huang, H. Yang, I. King and M.R. Lyu, Proceedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR' 2004), vol. 2, Washington, DC, June 27-July 2 2004, pp. 558-563. Paper[presentation]
• “Learning Large Margin Classifiers Locally and Globally”, K. Huang, H. Yang, I. King and M.R. Lyu, Proceedings Twenty-first International Conference on Machine Learning (ICML'2004), Banff, Alberta, Canada, July 4-8, 2004, pp. 401-408. Paper[presentation][poster][poster]
• “Biased Support Vector Machine for Relevance Feedback in Image Retrieval,” C.H. Hoi, C.H. Chan, K. Huang, M.R. Lyu, and I. King, Proceedings International Joint Conference on Neural Networks (IJCNN'2004), Budapest, Hungary, July 25-29, 2004. Paper[presentation]
• “Outliers Treatment in Support Vector Regression for Financial Time Series Prediction,” H. Yang, K. Huang, L. Chan, I. King, M.R. Lyu, Proceedings 11th International Conference on Neural information Processing (ICONIP'2004), Lecture Notes of Computer Science, Science city, Calcutta, India, November 22-25, 2004. Paper
• Improving Naive Bayesian Classifier by Discriminative Training,” K. Huang, Z. Zhou, I. King, and M.R. Lyu, International Conference on Neural Information Processing, Taipei, October 30 - November 2, 2005, pp. 49-54. [presentation]
• “Semi-supervised Learning from General Unlabeled Data”, Kaizhu Huang, Zenglin Xu, Irwin King, and M.R. Lyu, Appearing in Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008),Pisa, Italy, Dec. 15-19, 2008.. Paperpresentation
• “Direct Zero-norm Optimization for Feature Selection”, Kaizhu Huang, Irwin King, and M.R. Lyu, in Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008),Pisa, Italy, Dec. 15-19, 2008. Paperpresentation
• “Supervised Self-taught Learning: Actively Transferring Knowledge from Unlabeled Data,”, K. Huang, Z. Xu, I. King, M.R. Lyu, and C. Campbell, in Proceedings of the 2009 International Joint Conference on Neural Networks (IJCNN2009), 2009.Paperpresentation

• 03 Spring: “Discriminative Naive Bayesian Classifiers” Paper

• 01 Spring: “Classifier based on mixture of density tree” presentation
• 01 Fall: “Character recognition based on probability tree model” presentation
• 02 Spring: “Study of Bayesian network classifier” presentation
• 02 Fall: “Learning Maximum Likelihood Bounded Semi-Naive Bayesian network classifiers” (Group meeting) presentation
• 03 Spring: “Discriminative Naive Bayesian Classifiers” presentation

Assistant Professor, Beijing Normal University
URL: Homepage
Email: xychen@bnu.edu.cn

• “On Fault Tolerance, Performance, and Reliability for Wireless and Sensor Networks”,
  Aug 2005.thesispresentation

• Design and Evaluation of A Fault Tolerant Mobile Agent System,” M.R. Lyu, X. Chen, and T.-Y. Wong, IEEE Intelligent Systems, Special Issue on Dependable Agent Systems, vol. 19, issue 5, Sept - Oct 2004, pp. 32-38. Paper
• “Reliability Analysis for Various Communication Schemes in Wireless CORBA,” X. Chen and M.R. Lyu, IEEE Transactions on Reliability, vol. 54, no. 2, June 2005, pp. 232-242.Paper

• “Message Logging and Recovery in Wireless CORBA Using Access Bridge,” X. Chen and M.R. Lyu, Proc. 6th International Symposium on Autonomous Decentralized Systems (ISADS2003), Pisa, Italy, April 9-11 2003, pp.107-114. Paper[presentation]
• “Performance and Effectiveness Analysis of Checkpointing in Mobile Environments,” X. Chen and M.R. Lyu, in Proceedings 22nd International Symposium on Reliable Distributed Systems, Florence , Italy, October 6-8 2003, pp.131-140. Paper[presentation]
• “Expected-Reliability Analysis for Wireless CORBA with Imperfect Components,” X. Chen and M.R. Lyu, Proceedings 2004 Pacific-Rim Dependable Computing, Papeete, Tahiti, French Polynesia, March 3-5 2004, pp. 207-215. Paper[presentation]
• “Message Queueing Analysis in Wireless Networks with Mobile Station Failures and Handoffs,” X. Chen and M.R. Lyu, Proceedings 2004 IEEE Aerospace Conference, Big Sky, Montana, U.S.A., March 6-13 2004. Paper[presentation]

• 02 Fall: “Fault Tolerance and Performance Analysis” Paper
• 03 Fall: “Program Execution Time, Reliability and Queuing Analysis in Mobile Environments”Paper
• 04 Fall: “Energy-Conserving Coverage Configuration for Dependable Wireless Sensor Networks”Paper

• 02 Fall: “Fault Tolerance in CORBA and Wireless CORBA” (Group meeting)presentation
• 02 Fall: “Fault Tolerance and Performance Analysis in Wireless CORBA”presentation
• 03 Fall: “Program Execution Time, Reliability and Queuing Analysis in Mobile Environments”presentation
• 04 Fall: “Energy-Conserving Coverage Configuration for Dependable Wireless Sensor Networks” presentation

Canada
URL: http://www.cse.cuhk.edu.hk/~xcai

• Thesis: “Coverage-Based Testing Strategies and Reliability Modeling for Fault-Tolerant Software Systems,” Aug 2006. thesispresentation

• “A Generic Environment for COTS Testing and Quality Prediction,” X. Cai, M.R. Lyu, and K.F. Wong, Testing Commercial-off-the-Shelf Components and Systems, S. Beydeda and V. Gruhn (eds.), Springer-Verlag, Berlin, 2005, pp. 315-347. Paper

• “An Empirical Study on Testing and Fault Tolerance for Software Reliability Engineering,” M.R. Lyu, Z. Huang, K.S. Sze, and X. Cai, Proceedings 14th IEEE International Symposium on Software Reliability Engineering (ISSRE'2003), Denver, Colorado, November 17-20 2003, pp. 119-130. This paper received the ISSRE?|2003 Best Paper Award. Paper[presentation]
• “An Empirical Study on Reliability and Fault Correlation Models for Diverse Software Systems,” X. Cai and M.R. Lyu, Proceedings 15th International Symposium on Software Reliability Engineering (ISSRE’2004), Saint-Malo, France, November 2-5 2004.
• “The Effect of Code Coverage on Fault Detection under Different Testing Profiles,” X. Cai and M.R. Lyu, ICSE 2005 Workshop on Advances in Model-Based Software Testing (A-MOST), St. Louis, Missouri, May 15-21, 2005.Paper
• “An Experimental Evaluation on Reliability Features of N-Version Programming,” X. Cai, M.R. Lyu and M.A. Vouk, in Proceedings 16th International Symposium on Software Reliability Engineering (ISSRE'2005), Chicago, Illinois, November 8-11, 2005. (presentation) Paper[presentation]

• 04 Spring: “An Empirical Study on Testing and Fault Tolerance for Software Reliability Engineering” Paper
• 05 Spring: “Testing Effectiveness and Fault Correlation Modeling for Diverse Software Systems” Paper

• 04 Spring: “An Empirical Study on Testing and Fault Tolerance for Software Reliability Engineering” presentation
• 05 Spring: “Testing Effectiveness and Fault Correlation Modeling f or Diverse Software Systems” presentation

Assistant Professor, Nanyang Technological University, Singapore
URL: http://www.cse.cuhk.edu.hk/~chhoi
Email: chhoi@ntu.edu.sg

• Thesis: “Statistical Machine Learning for Data Mining and Collaborative Multimedia Retrieval,” August 2006. thesisPresentation

• “A Unified Log-based Relevance Feedback Scheme for Image Retrieval,” S. C.H. Hoi, M.R. Lyu and R. Jin, IEEE Transaction on Knowledge and Data Engineering (TKDE), vol. 18, no. 4, April 2006, pp. 509-524. Paper
• “Collaborative Image Retrieval via Regularized Metric Learning,” L. Si, R. Jin, S. C.H. Hoi and M.R. Lyu, ACM Multimedia Systems Journal, Special issue on Machine Learning Approaches to Multimedia Information Retrieval, vol. 12, no. 1, April 2006, pp. 34-44. Paper
• “A Multimodal and Multilevel Ranking Scheme for Large-Scale Video Retrieval”, S.C.H. Hoi, M.R. Lyu, IEEE Transactions on Multimedia, Vol.10, iss. 04, pp. 607-619, June 2008. Paper

• “A Novel Log-based Relevance Feedback Technique in Content-based Image Retrieval,” C.H. Hoi and M.R. Lyu, Proceedings ACM Multimedia 2004, New York October 10-16 2004, pp.24-31. Paper[presentation]
• “Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-based Image Retrieval,”(Invited Paper) S.C.H. Hoi, M.R. Lyu and R. Jin, in Proceedings 1st IEEE International EMMA Workshop in conjunction with 21st ICDE Conference, Tokyo, Japan, April 2005, pp. 76-85. Paper[presentation]
• “A Semi-Supervised Active Learning Framework for Image Retrieval,” S.C.H. Hoi and M.R. Lyu, in Proceedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), San Diego, CA, USA, June 20-25, 2005, pp. 302-309. Paper[presentation]
• “A Unified Machine Learning Framework for Large-Scale Personalized Information Management,” E.Y. Chang, C.H. Hoi, X. Wang, W.-Y. Ma, and M.R. Lyu, The 5th IEEE Emerging Information Technology Conference, Taipei, Taiwan, August, 2005.Paper
• “Automatic 3D Face Modeling Using 2D Active Appearance Models,” J. Zhu, S.C.H. Hoi, E. Yau, and M.R. Lyu, Proceedings of the 13th Pacific Conference on Computer Graphics and Applications, Macau, China, October 12-14, 2005.Paper
• “Large-Scale Text Categorization by Batch Mode Active Learning,” S. C.H. Hoi, R. Jin and M.R. Lyu, in Proceedings 15th International World Wide Web conference (WWW2006), Edinburgh, England, UK, 23-26 May 2006. Paper[presentation]
• “Time-Dependent Semantic Similarity Measure of Queries Using Historical Click-Through Data”, Q. Zhao, S. C. H. Hoi, T.-Y. Liu, S. S. Bhowmick, M.R. Lyu and W.-Y. Ma, in Proceedings 15th International World Wide Web conference (WWW2006), Edinburgh, England, UK, 23-26 May 2006. Paper[presentation]
• “Real-Time Non-Rigid Shape Recovery via Active Appearance Models for Augmented Reality,” J. Zhu, S. C.H. Hoi, E. Yau and M.R. Lyu, in Proceedings 9th European Conference on Computer Vision (ECCV2006), Graz, Austria, May 7 - 13, 2006. Paper[presentation]
• “Learning Distance Functions with Contextual Constraints for Image Retrieval,” S. C.H. Hoi, W. Liu, M.R. Lyu, and W.-Y. Ma, in Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR2006), New York, 17-22 June, 2006. Paper [presentation]
• “Learning the Unified Kernel Machines for Classification,” S. C. H. Hoi, M.R. Lyu, and E. Y. Chang, in The Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2006), Philadelphia, USA, August 20 - 23, 2006. Paper
• “Batch Mode Active Learning and Its application to Medical Image Classification,” S. C. H. Hoi, R. Jin, J. Zhu and M.R. Lyu, in Proceedings The 23rd International Conference on Machine Learning (ICML2006), Pittsburgh, Penn, US, June 25-29, 2006.Paper
• “CUHK at ImageCLEF 2005: Cross-Language and Cross-Media Image Retrieval,” S. C. H. Hoi, J. Zhu and M.R. Lyu, In Proceedings of Cross Language Evaluation Forum campaign (CLEF 2005), LNCS 4022, Springer, pp.602-611, 2006.Paper
• “A Multi-Modal and Multi-Level Ranking Framework for Content-Based Video Retrieval,” (Invited Paper/Talk), S. C.H. Hoi and M.R Lyu, In the 32nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2007), Special Session on “Web Image/Video Search Technologies”, Hawaii, USA, 15-20 April, 2007. Paper
• “Learning Non-Parametric Kernel Matrices from Pairwise Constraints,” S. C.H. Hoi, R. Jin and M.R. Lyu, in Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007), OR, US, 20-24 June 2007. Paper
• “An Empirical Study on Large-Scale Content-Based Image Retrieval”, Y.-M. Wong, S. C.-H. Hoi, and M.R. Lyu, in Proceedings of IEEE International Conference on Multimedia and Expo (ICME 2007), Beijing, China, 2-5 July 2007. Paper

• 05 Spring: “Statistical Machine Learning for Bridging the Semantic Gap in Image Retrieval” Paper

• 05 Spring: “Statistical Machine Learning for Bridging the Semantic Gap in Image Retrieval” presentation

Post-doc CUHK
URL: http://www.cs.rhul.ac.uk/home/haixuan
Email: hxyang@cse.cuhk.edu.hk

• Thesis: “Machine Learning Models on Random Graphs”, Jun 2007. thesis presentation

• “Predictive Ranking: A Novel Page Ranking Approach by Estimating the Web Structure,” H. Yang, I. King, and M.R. Lyu, Proceedings of the Fourteenth International World Wide Web Conference (WWW 2005), Tokyo, Japan, May 10-14, 2005, pp. 944-945. (poster)[poster][presentation]
• “NHDC and PHDC: Non-propagating and Propagating Heat Diffusion Classifiers,” H. Yang, I. King, and M.R. Lyu, International Conference on Neural Information Processing, Taipei, Octorber 30 - November 2, 2005, pp. 394-399. Paper
• “Predictive Random Graph Ranking on the Web,” H. Yang; I. King, and M.R. Lyu, International Joint Conference on Neural Networks (IJCNN '06), Vancouver, Canada, 16-21 July 2006, pp. 1825- 1832.Paper
• “DiffusionRank: A Possible Penicillin for Web Spamming,” H. Yang, I. King and M.R. Lyu, in Proceedings of the 30th International ACM SIGIR Conference, Amsterdam, 23-27 July 2007. Paper [presentation]

• 04 Fall: “Data Processing with Missing Information” Paper
• 05 Fall: “Heat Diffusion Model and its Applications” Paper
• 06 Fall: “Further Investigations on Heat Diffusion Models” Paper

• 04 Fall: “Data Processing with Missing Information” presentation
• 05 Fall: “Heat Diffusion Model and its Applications” presentation
• 06 Fall: “Further Investigations on Heat Diffusion Models” presentation

Senior Lecturer Imperial College, London
URL: http://www.cse.cuhk.edu.hk/~chngai
Email: e.ngai@imperial.ac.uk

• Thesis: “Delay-Oriented Reliable Communication and Coordination in Wireless Sensor-Actuator Networks”, Jun 2007. thesispresentation

• “Trust- and Clustering-Based Authentication Services in Mobile Ad Hoc Networks,” C.H. Ngai and M.R. Lyu, International Journal of Wireless and Mobile Computing, to be published.Paper
• “An Efficient Intruder Detection Algorithm Against Sinkhole Attacks in Wireless Sensor Networks,” E. C.-H. Ngai, J. Liu, and M.R. Lyu, Computer Communications, vol. 30, September 2007, pp.2353-2364.Paper

• “A Real-Time Communication Framework for Wireless Sensor-Actuator Networks,” E. C.H. Ngai, M.R. Lyu, and J. Liu, Proceedings 2006 IEEE Aerospace Conference, Big Sky, Montana, U.S.A., March 4-11 2006. Paper[presentation]
• “An Authentication Service Based on Trust and Clustering in Wireless Ad Hoc Networks: Description and Security Evaluation,” E. C.H. Ngai and M.R. Lyu,I IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06), Taichung, Taiwan, June 5-7 2006, pp. 94-101. Paper [presentation]
• “On the Intruder Detection for Sinkhole Attack in Wireless Sensor Networks,” E. C.H. Ngai, J. Liu, and M.R. Lyu, IEEE International Conference on Communications (ICC'06), Istanbul, Turkey, June 11-15 2006. Paper [presentation]
• “A Point-Distribution Index And Its Application to Sensor Grouping in Wireless Sensor Networks,” Y. Zhou, H. Yang, M. R. Lyu, and E. C.H. Ngai, in Proc. of the International Wireless Communications and Mobile Computing Conference (IWCMC'06), Vancouver, Canada, 3 - 6 July, 2006. Paper [presentation]
• “Reliable Reporting of Delay-Sensitive Events in Wireless Sensor-Actuator Networks,” E. C.-H. Ngai, Y. Zhou, M.R. Lyu, and J. Liu, The Third IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS'06), Vancouver, Canada, October 9-12 2006. Paper[presentation]
• “Delay-Minimized Route Design for Wireless Sensor-Actuator Networks,” E. C.-H. Ngai, J. Liu, and M.R. Lyu, in Proceedings of The IEEE Wireless Communications and Networking Conference (WCNC'07), Hong Kong, China, 11-15 March, 2007.Paper
• “POWER-SPEED: A Power-Controlled Real-Time Data Transport Protocol for Wireless Sensor-Actuator Networks,” Y. Zhou, E. C.-H. Ngai, M.R. Lyu, and J. Liu, in Proceedings of The IEEE Wireless Communications and Networking Conference (WCNC'07), Hong Kong, China, 11-15 March, 2007. Paper
• “An Adaptive Delay-Minimized Route Design for Wireless Sensor-Actuator Networks,” E. C.-H. Ngai, J. Liu, and M.R. Lyu, The 4th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS'07), Pisa, Italy, October 8-11, 2007. Paper [presentation]
• “LOFT: A Latency-Oriented Fault Tolerant Transport Protocol for Wireless Sensor-Actuator Networks,” E. C.-H. Ngai, Y. Zhou, M.R. Lyu, and J. Liu, IEEE Global Telecommunications Conference (Globecom'07), Washington, DC, USA, November 26-30, 2007. Paper [presentation]

• 05 Spring: “Intrusion Detection for Wireless Sensor Networks” Paper
• 06 Spring: “A Delay-Aware Reliable Event Reporting Framework for Wireless Sensor-Actuator Networks” Paper

• 05 Spring: “Intrusion Detection for Wireless Sensor Networks” presentation
• 06 Spring: “A Delay-Aware Reliable Event Reporting Framework for Wireless Sensor-Actuator Networks” presentation

Lecturer, PolyU HKCC
Email:ccpat{at}hkcc-polyu.edu.hk
URL: http://www.cse.cuhk.edu.hk/~pwchan

• Thesis: Building Reliable Web Services: Methodology, Composition, Modeling and Experiment. thesis presentation

• “A Novel Scheme for Hybrid Digital Video Watermarking: Approach Evaluation and Experimentation,” P.W. Chan, M.R. Lyu, and R. T. Chin, IEEE Transactions on Circuits and Systems for Video Technology , vol. 15, no. 12, December 2005, pp. 1638-1649.Paper

• “ARCADE: Augmented Reality Computing Arena for Digital Entertainment,” M.R. Lyu, I. King, T.T. Wong, E. Yau, and P.W. Chan, Proceedings 2005 IEEE Aerospace Conference, Big Sky, Montana, U.S.A., March 5-12 2005. Paper
• “Digital Video Watermarking with a Genetic Algorithm,” P.W. Chan and M.R. Lyu, Proceedings 2005 International Conference on Digital Archive Technologies (ICDAT '05), Taipei, Taiwan, June 16-17, 2005, pp. 139-153. Paper[presentation]
• “Making Services Fault Tolerant,” P.W. Chan, M.R. Lyu, and M. Malek, the 3rd International Service Availability Symposium (ISAS 2006), Helsinki, Finland, May 15-16, 2006; Lecture Notes in Computer Science, vol. 4328, Springer, 2006, pp. 43-61. Paper[presentation]
• “Reliable web services: Methodology, experiment and modeling,” P. Chan, M.R. Lyu, and M. Malek, in Proceedings of IEEE International Conference on Web Services (ICWS 2007), Salt Lake City, USA, 9-13 July 2007. Paper [presentation]
• Developing Aerospace Applications with a Reliable Web Services Paradigm,” P.W. Chan and M.R. Lyu, in Proc. of The 2008 IEEE Aerospace Conference, Big Sky, MT, USA, 1-8 March, 2008.Paper[presentation]

• 05 Spring: “An Object Tacking Paradigm with Active Appearance Models for Augmented Reality” Paper
• 06 Spring: “Reliable Web Services by Fault Tolerant Techniques: Methodology, Experiment, Modeling and Evaluation” Paper

• 05 Spring: “An Object Tacking Paradigm with Active Appearance Models for Augmented Reality” presentation
• 06 Spring: “Reliable Web Services by Fault Tolerant Techniques: Methodology, Experiment, Modeling and Evaluation” presentation
• 2 June 06 at Humboldt University, Berlin: “Making Services Fault

Tolerant” presentation

• 27 June 06 at HPI in Potsdam University: “Making Services Fault

Tolerant” presentation

URL: http://www.cse.cuhk.edu.hk/~zlxu
Email: zlxu@cse.cuhk.edu.hk

Learning from Unlabeled Data (Thesis, Presentation)

• “Simple and Efficient Multiple Kernel Learning By Group Lasso,” Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, and M.R. Lyu, in Proceedings of the 27th International Conference on Machine Learning (ICML2010), Haifa, Israel, 2010
  [Paper] [ML]
  
  
• “Smooth Optimization for Effective Multiple Kernel Learning,” Zenglin Xu, Rong Jin, Shenghuo Zhu, M.R. Lyu, and Irwin King, in Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI-10), Atlanta, Geogia, USA, July 11 - 15, 2010
  [Paper] [ML]
  
  
• “An Extended Level Method for Multiple Kernel Learning”, Zenglin Xu, Rong Jin, Irwin King, and Michael R. Lyu, In Advances in Neural Information Processing Systems (NIPS 22), 2008. Paperpresentation

• “Semi-supervised text categorization by active search”, Zenglin Xu, Rong Jin, Kaizhu Huang, Irwin King, and M.R. Lyu. Appearing in Proceedings of ACM 17th Conference on Information and Knowledge Management (CIKM 2008), 2008. Paperpresentation

• “Semi-supervised Learning from General Unlabeled Data”, Kaizhu Huang, Zenglin Xu, Irwin King, and M.R. Lyu, Appearing in Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008),Pisa, Italy, Dec. 15-19, 2008.. Paperpresentation

• “An Effective Approach to 3D Deformable Surface Tracking”, Jianke Zhu, Steven Hoi, Zenglin Xu and Michael R. Lyu, Appearing in Proceedings of the 10th European Conference on Computer Vision (ECCV 2008), accepted, 2008.Paper

• “Efficient convex relaxation for transductive support vector machine”, Z. Xu, R. Jin, J. Zhu, I. King, and M.R. Lyu, In J. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20, pages 1641-1648, MIT Press, Cambridge, MA, 2008. Paperpresentation

• “Web page classification with heterogeneous data fusion,” Z. Xu, I. King, and M.R. Lyu, in Proceedings of the 16th international conference on World Wide Web (WWW 2007), Banff, Alberta, Canada, 8-12 May 2007, pp. 1171–1172. Paperposter

• “Maximum margin based semi-supervised spectral kernel learning,” Z. Xu, J. Zhu, I. King, and M.R. Lyu, in Proceedings of 20th International Joint Conference on Neural Network (IJCNN), 12-17 August 2007.Paperpresentation

URL: http://www.cse.cuhk.edu.hk/~jkzhu
Email: jkzhu@cse.cuhk.edu.hk

Deformable Surface Recovery and Its Applications thesis presentation Outstanding Thesis Award 2009

Videos:

Nonrigid surface detection: cvpr07_paper.avi cvpr07_tshirt.avi
Fusion Approach: fig14a_fusion_only.avi fig14b_fusion_only.avi fusion_cover1.avi fusion_cover2.avi fusion_rio.avi
3D deformable Surface Tracking: fig5_bend.avi fig6_wave.avi fig7_fold.avi fig8_bag.avi fig9_cloth.avi

• “Face Annotation Using Transductive Kernel Fisher Discriminant”, J. Zhu, S.C.H. Hoi, and M.R. Lyu, IEEE Trans. on Multimedia, vol. 10, iss. 01, pp. 86-96, January 2008.Paper
• “Robust Regularized Kernel Regression,” J. Zhu, S.C.H. Hoi and M. R. Lyu, To appear in IEEE Trans. on Systems, Man, and Cybernetics - Part B: Cybernetics. Paper
• “A Fast 2D Shape Recovery Approach by Fusing Features and Appearance,” Jianke Zhu, M. R. Lyu and Thomas S. Huang, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 31, No. 7, pp. 1012-1244, July, 2009. Paper

• “Automatic 3D Face Modeling Using 2D Active Appearance Models,” J. Zhu, S.C.H. Hoi, E. Yau, and M.R. Lyu, Proceedings of the 13th Pacific Conference on Computer Graphics and Applications, Macau, China, October 12-14, 2005.Paper
• “Real-Time Non-Rigid Shape Recovery via Active Appearance Models for Augmented Reality,” J. Zhu, S. C.H. Hoi, E. Yau and M.R. Lyu, in Proceedings 9th European Conference on Computer Vision (ECCV2006), Graz, Austria, May 7 - 13, 2006. Paper[presentation]
• “Batch Mode Active Learning and Its application to Medical Image Classification,” S. C. H. Hoi, R. Jin, J. Zhu and M.R. Lyu, in Proceedings The 23rd International Conference on Machine Learning (ICML2006), Pittsburgh, Penn, US, June 25-29, 2006.Paper
• “CUHK at ImageCLEF 2005: Cross-Language and Cross-Media Image Retrieval,” S. C. H. Hoi, J. Zhu and M.R. Lyu, In Proceedings of Cross Language Evaluation Forum campaign (CLEF 2005), LNCS 4022, Springer, pp.602-611, 2006.Paper
• “Progressive Finite Newton Approach To Real-time Nonrigid Surface Detection,” J. Zhu, M.R. Lyu, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2007), 19-21 June 2007. Paper
• “A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling,” J. Zhu, S. C. H. Hoi, M.R. Lyu, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2007), 19-21 June 2007. Paper[presentation]
• “Efficient Convex Relaxation for Transductive Support Vector Machine,” Z. Xu, R. Jin, J. Zhu, I. King and M.R. Lyu, Advances in Neural Information Processing Systems (NIPS'2007), 2008. Paper
• “Semi-Supervised SVM Batch Mode Active Learning for Image Retrieval,” S. C. H. Hoi, R. Jin, J. Zhu, M.R. Lyu, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), June 2008. Paper
• “An Effective Approach to 3D Deformable Surface Tracking,” J. Zhu, S. C.H. Hoi, Z. Xu and M.R. Lyu, in Proceedings 10th European Conference on Computer Vision (ECCV2008), 2008. Paper[presentation]
• “Near-Duplicate Keyframe Retrieval by Nonrigid Image Matching,” J. Zhu, S. C.H. Hoi, M.R. Lyu and S. Yan, in ACM Multimedia’2008, 2008. Paper[presentation]

• 07 Spring: “Nonrigid Surface Modelling and Fast Recovery” Paper

• 07 Spring: “Nonrigid Surface Modelling and Fast Recovery” presentation

BarcLays Capital
URL: Homepage
Email:

“Achieving Secure and Cooperative Wireless Networks with Trust Modeling and Game Theory” Thesis Presentation

• “A Coalitional Game Model for Heat Diffusion Based Incentive Routing and Forwarding Scheme”, Xiaoqi Li, Wujie Zheng, Michael R. Lyu, in Proceedings of the IFIP Networking (IFIP Networking 2009), Aachen, Germany, May 11-15, 2009.
  Paper
  

• “A Novel Coalitional Game Model for Security Issues in Wireless Networks,” Xiaoqi Li, Michael R. Lyu, in Proceedings of IEEE Global Telecommunications Conference 2008 (GLOBECOM'08), New Orleans, LA, USA. Paper[presentation]

• “A Trust Model Based Routing Protocol for Secure Ad Hoc Networks,” Xiaoqi Li, Michael R. Lyu, and Jiangchuan Liu, 2004 IEEE Aerospace Conference, Big Sky, MT, March 6-13, 2004. Paper

• 03 Spring: “Trust Model Based Self-Organized Routing Protocol for Ad Hoc Networks” Paper
• 04 Spring: “TAODV: A Trusted AODV Routing Protocol for Mobile Ad Hoc Networks”Paper

• 03 Spring: “Trust Model Based Self-Organized Routing Protocol for Ad Hoc Networks” Paper
• 04 Spring: “TAODV: A Trusted AODV Routing Protocol for MANET” Paper
• 06 Spring: “Using Game Theoretic Approach to Analyze Security in Ad Hoc Networks” Paper

Post-doc UIUC
URL: http://www.cse.cuhk.edu.hk/~hbdeng
Email: hbdeng@cse.cuhk.edu.hk
Demo:Expert Finding

“Web mining techniques for query log analysis and expertise retrieval” Thesis Presentation

1. “Enhanced Models for Expertise Retrieval Using Community-Aware Strategies,” H. Deng, I. King, and M.R. Lyu, in IEEE Transactions on Systems, Man, and Cybernetics (TSMCB), vol. 42, no. 1, 2012.
   [Paper] [ML]
   
   

• “Enhancing Expertise Retrieval Using Community-aware Strategies,” Hongbo Deng, Irwin King, M.R. Lyu, in Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, China, November 2-6, 2009.
  PaperPoster

• “Entropy-biased Models for Query Representation on the Click Graph.” Hongbo Deng, Irwin King, Michael R. Lyu. in Proceedings of the 32nd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2009). Boston, MA, July 19-23, 2009. PaperPresentation [AR: 78/494 = 15.8%]

• “A Generalized Co-HITS Algorithm and Its Application to Bipartite Graphs.” Hongbo Deng, Michael R. Lyu and Irwin King. In Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2009). Paris, France, June 28th - July 1st, 2009. PaperPresentationPosterVideo [AR: 105/561 = 18.7%]

• “Effective Latent Space Graph-based Re-ranking Model with Global Consistency,” Hongbo Deng, Michael R. Lyu and Irwin King, In Proceedings of the Second ACM International Conference on Web Search and Data Mining (WSDM 2009). Barcelona, Spain, 2009. PaperPresentationVideo [AR: 29/170 = 17%]

• “Formal Models for Expert Finding on DBLP Bibliography Data,” Hongbo Deng, Irwin King and Michael R. Lyu, In Proceedings of The Eighth IEEE International Conference on Data Mining (ICDM 2008). Pisa, Italy, Dec. 15-19, 2008. To appear Expert Finding DemoPaperPresentation [AR: 70/724 = 9.7%]

• “Two-Stage Multi-Class AdaBoost for Facial Expression Recognition,” Hongbo Deng, Jianke Zhu, Michael R. Lyu and Irwin King. In Proceedings of International Joint Conference on Neural Networks (IJCNN 2007). Florida, USA, Aug.12-17, 2007. Paper

• Boosting Algorithms for Supervised Learning and Semi-supervised Learning Paper Presentation

• A Study of Expert Finding on DBLP Bibliography Data　Paper Presentation

URL: http://www.cse.cuhk.edu.hk/~yfzhou
Email: yfzhou@cse.cuhk.edu.hk

“Coverage-oriented Network Scheduling and Location-directed Data Collection: Towards Energy-efficient Wireless Sensor Networks” Thesis Presentation

• “Sentomist: Unveiling Transient Sensor Network Bugs via Symptom Mining,” Yangfan Zhou, Xinyu Chen, M.R. Lyu, and Jiangchuan Liu, in Proceedings of the 30th International Conference on Distributed Computing Systems (ICDCS 2010),Pages 784-794, Genoa, Italy, June 21-25, 2010.
  [Paper] [Presentation] [DS]
  
• “Reliable Reporting of Delay-Sensitive Events in Wireless Sensor-Actuator Networks,” E. C.-H. Ngai, Y. Zhou, M.R. Lyu, and J. Liu, The Third IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS'06), Vancouver, Canada, October 9-12 2006. Paper[presentation]
• “An Energy-Efficient Mechanism for Self-Monitoring Sensor Web,” Y. Zhou and M.R. Lyu, in Proceedings of The 2007 IEEE Aerospace Conference, Big Sky, MT, USA, 3-10 March, 2007. Paper
• “POWER-SPEED: A Power-Controlled Real-Time Data Transport Protocol for Wireless Sensor-Actuator Networks,” Y. Zhou, E. C.-H. Ngai, M.R. Lyu, and J. Liu, in Proceedings of The IEEE Wireless Communications and Networking Conference (WCNC'07), Hong Kong, China, 11-15 March, 2007. Paper
• “LOFT: A Latency-Oriented Fault Tolerant Transport Protocol for Wireless Sensor-Actuator Networks,” E. C.-H. Ngai, Y. Zhou, M.R. Lyu, and J. Liu, IEEE Global Telecommunications Conference (Globecom'07), Washington, DC, USA, November 26-30, 2007. Paper [presentation]
• “On Sensor Network Reconfiguration Problem for Downtime-Free System Migrations”, Yangfan Zhou, M. R. Lyu, and Jiangchuan Liu, In Proc. of the Fifth International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine'08), Hong Kong, China, July 28-31, 2008. Paper
• “An Index-Based Sensor-Grouping Mechanism for Field Coverage Wireless Sensor Networks,” Y. Zhou, M.R. Lyu, and J. Liu, In Proc. of The 2008 IEEE International Conference on Communications (ICC'08), Beijing, China, May, 2008.Paper
• “On Sensor Network Reconfiguration for Downtime-Free System Migration”, Yangfan Zhou, M.R. Lyu, and Jianchuan Liu, ACM/Springer Mobile Networks and Applications (MONET), Vol. 14, No. 2, pp. 241-252, April, 2009. Paper

URL: http://www.cse.cuhk.edu.hk/~hma
Email: hma@cse.cuhk.edu.hk

• [July 27, 2009] A social game “Page Hunt” developed by Hao Ma at Microsoft showed up on MIT Technology Review (Related news).

“Learning to Recommend” Thesis Presentation

1. “Bridging the Semantic Gap between Image Contents and Tags,” H. Ma, J. Zhu, M.R. Lyu and I. King, IEEE Transaction on Multimedia, vol. 12, no. 5, pp. 462-473, August 2010.
   [paper][MM]
   
   
2. “Mining Web Graphs for Recommendations,” Hao Ma, Irwin King and M.R. Lyu, IEEE Transactions on Knowledge and Data Engineering (TKDE), January 2011.
   paper [ML]
   
   

• “Diversifying Query Suggestion Results,” Hao Ma, M.R. Lyu, Irwin King, in Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI-10), Atlanta, Geogia, USA, July 11 - 15, 2010
  [Paper] [ML]
  
• “Semi-Nonnegative Matrix Factorization with Global Statistical Consistency in Collaborative Filtering,” H. Ma, H. Yang, I. King, and M.R. Lyu, in Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, China, November 2-6, 2009.
  [Paper] [ML] [AR: 123/847 = 14.5%]
  
• “Learning to Recommend with Trust and Distrust Relationships,” H. Ma, I. King, and M.R. Lyu, in Proceedings of the 3rd ACM Conference on Recommender Systems (RecSys 2009), New York City, USA, October 22-25, 2009.
  [Paper] [ML] [AR: 24/140 = 17.1%]
  
• “Learning to Recommend with Social Trust Ensemble,” H. Ma, I. King, and M.R. Lyu, in Proceedings of the 32nd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2009), Boston, MA, July 19-23, 2009.
  [Paper] [ML] [AR: 78/494 = 15.8%]
  
• “TagRec: Leveraging Tagging Wisdom for Recommendation,” T.C. Zhou, H. Ma, I. King, and M.R. Lyu, in Proceedings of Symposium on Social Intelligence and Networking (SIN 2009), Vancouver, Canada, August 29-31, 2009.
  [Paper] [ML] [AR: ~20.0%]
  
• “WSRec: A Collaborative Filtering based Web Service Recommender System,” Z. Zheng, H. Ma, M.R. Lyu, and I. King, in Proceedings of the 7th IEEE International Conference on Web Services (ICWS 2009), Los Angeles, California, USA, July 6-10, 2009, pp. 437-444.
  [Paper] [Presentation] [DS] [AR: 15.6%]
  
• “SoRec: Social Recommendation Using Probabilistic Matrix Factorization,” H. Ma, H. Yang, M.R. Lyu, and I. King, in the Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM 2008), Napa Valley, California, USA, October 26-30, 2008, pp. 931-940.
  [Paper][Presentation] [ML] [AR: 132/772 (17%)]
  
• “Learning Latent Semantic Relations from Clickthrough Data for Query Suggestion,” H. Ma, H. Yang, I. King, and M.R. Lyu, in the Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM 2008), Napa Valley, California, USA, October 26-30, 2008, pp. 709-718.
  [Paper][Presentation] [ML] [AR: 132/772 (17%)]
  
• “Mining Social Networks Using Heat Diffusion Processes for Marketing Candidates Selection,” H. Ma, H. Yang, M.R. Lyu, and I. King, in the Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM 2008), Napa Valley, California, USA, October 26-30, 2008, pp. 233-242.
  [Paper][Presentation] [ML] [AR: 132/772 (17%)]
  
• “Effective Missing Data Prediction for Collaborative Filtering,” H. Ma, I. King, and M.R. Lyu, in Proceedings of the 30th International ACM SIGIR Conference, Amsterdam, July 23-27, 2007, pp. 39-46.
  [Paper] [Presentation] [ML]
  

URL: http://www.zibinzheng.com
Email: zbzheng@cse.cuhk.edu.hk

“QoS Management of Web Services”, Thesis,Presentation

• IBM Ph.D. Fellowship
• SIGSOFT Distinguished Paper Award, ICSE2010
• Best Student Paper Award, ICWS2010

1. “QoS-Aware Web Service Recommendation by Collaborative Filtering,” Zibin Zheng, H. Ma, M.R. Lyu, and I. King, IEEE Transactions on Service Computing (TSC), to be published.
   [paper]
   
   
2. “Optimal Fault Tolerance Strategy Selection for Web Services,” Zibin Zheng, M.R. Lyu International Journal of Web Service Research (JWSR), Vol. 7, no. 4, pp. 21-40, 2010.
   [paper]
   
   
3. “An Adaptive QoS-Aware Fault Tolerance Strategy for Web Services,” Zibin Zheng and M.R. Lyu, Springer Journal of Empirical Software Engineering (EMSE), Vol. 15, No. 4, pp. 323-345, 2010.
   [paper]
   
   

1. “A General Anomaly Detection Framework for Internet of Things”, Zibin Zheng, Jian Wang, Ziyu Zhu, in Proc. 41st IEEE/IFIP International Conference on Dependable Systems and Networks (DSN2011) , Fast Abstract, Hong Kong, June 27-30, 2011.
   [paper]
   
   
2. “FTCloud: A Ranking-based Framework for Fault Tolerant Cloud Applications”, Zibin Zheng, Tom Chao Zhou, Michael R. Lyu, and Irwin King, in proceedings of the 21st IEEE International Symposium on Software Reliability Engineering (ISSRE2010), CA, US, Nov. 1-4, 2010.
   [paper]
   
   
3. “CloudRank: A QoS-Driven Component Ranking Framework for Cloud Computing,” Zibin Zheng, Yilei Zhang, and Michael R. Lyu, in proceedings of the 28th IEEE International Symposium on Reliable Distributed Systems (SRDS 2010), New Delhi, India. Oct.31-Nov.3, 2010. [Acceptance Rate: 21/93=22.6%]
   [paper]
   
   
4. “A Collaborative Quality Ranking Framework for Cloud Components,” Zibin Zheng, M.R. Lyu, in Proceedings of the 40th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2010), fast abstract, Chicago, Illinois, USA, June 28-July 01, 2010.
   [paper]
   
   
5. “Distributed QoS Evaluation for Real-World Web services”, Zibin Zheng, Yilei Zhang, Michael R. Lyu, in Proceedings of the 8th IEEE International Conference on Web Services (ICWS 2010), Miami, Florida, USA, July 5-10, 2010.
   [paper] [AR: 17.6%] Best Student Paper Award
   
   
6. “Collaborative Reliability Prediction for Service-Oriented Systems,” Zibin Zheng, M.R. Lyu, in Proceedings of the ACM/IEEE 32nd International Conference on Software Engineering (ICSE 2010), Cape Town, South Africa, May 2-8, 2010, pp. 35-44.
   [Paper] [AR: 13.7%)], ACM SIGSOFT Distinguished Paper Award
   
   
7. “Component Recommendation for Cloud Applications,” Zibin Zheng, M.R. Lyu, in the 2nd International Workshop on Recommendation Systems for Software Engineering (RSSE 2010), co-loated with ICSE 2010, Cape Town, South Africa, May 4, 2010, pp 323-345, Volume 15, Issue 4.
   [Paper]
   
   
8. “WSRec: A Collaborative Filtering based Web Service Recommender System”, Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King, in Proceedings of the 7th IEEE International Conference on Web Services (ICWS 2009), Los Angeles, CA, USA, July 6-10, 2009, pp. 437-444.
   Paper [Presentation] [AR: 15.6%)] Best Paper Award Nomination, Invited for Journal Publication]
   
   
9. “A Runtime Dependability Evaluation Framework for Fault Tolerant Web Services”, Zibin Zheng, M. R. Lyu, in the International Workshop on Proactive Failure Avoidance, Recovery and Maintenance (PFARM 2009), Lisbon, Portugal, June 29, 2009.
   Paper [Presentation]
   
   
10. “A QoS-Aware Fault Tolerant Middleware for Dependable Service Composition”, Zibin Zheng, M. R. Lyu, in Proceedings of the 39th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2009), Lisbon, Portugal, June 29–July 02, 2009.
    Paper [Presentation] [AR: 21%]
    
    
11. “A QoS-Aware Middleware for Fault Tolerant Web services,” Zibin Zheng, M.R. Lyu, in the Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE 2008), Seattle, USA, November 11-14, 2008, pp. 97-106.
    [Paper][Presentation] [AR: 25%]Best Papers for Journal Publication
    
    
12. “A Distributed Replication Strategy Evaluation and Selection Framework for Fault Tolerant Web Services,” Zibin Zheng and M.R. Lyu, in Proceedings of the IEEE International Conference on Web Services (ICWS 2008), Beijing, China, September 23-26, 2008, pp. 145-152.
    [Paper][Presentation] [AR: 16%] Best Paper Award Nomination, Invited for Journal Publication]
    
    
13. “WS-DREAM: A Distributed Reliability Assessment Mechanism for Web Services,” Zibin Zheng and M.R. Lyu, in Proceedings of the 38th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2008), Anchorage, Alaska, USA, June 24-27, 2008, pp. 392-397.
    [Paper][Presentation] [AR: 26%]
    
    

• 08 Spring: “WS-DREAM: A Distributed Reliability Assessment Mechanism for Web Services” Paper

• 07 Spring: “Building Reliable SOA from the Unreliable Web Services” [presentation]

URL: http://www.cse.cuhk.edu.hk/~hqyang
Email: hqyang@cse.cuhk.edu.hk

• Curriculum Vitae

“Sparse Learning Under Regularization Framework”, Thesis,Presentation

• [2011, article | source]

  Yang, H., Xu, Z., Ye, J., King, I., & Lyu, M. R. (2011). Efficient Sparse Generalized Multiple Kernel Learning. IEEE Transactions on Neural Networks, 22(3), 433-446.

1. “Localized support vector regression for time series prediction,” H. Yang, K. Huang, I. King, and M.R. Lyu. Neuocomputing, June 2009, vol. 72, iss. 10-12, pp. 2659-2669.
   paper [ML]
   
   

• [2010, inproceedings | www]

  Yang, H., King, I., & Lyu, M. R. (2010). Online Learning for Multi-task Feature Selection. Paper presented at the Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM2010), Toronto, Canada.

• [2010, inproceedings | www]

  Yang, H., King, I., & Lyu, M. R. (2010). Multi-task Learning for One-class Classification. Paper presented at the Proceedings of the 2010 International Joint Conference on Neural Networks (IJCNN2010), Barcelona, Spain.

• [2010, inproceedings | www]

  Yang, H., Xu, Z., King, I., & Lyu, M. R. (2010). Online Learning for Group Lasso. Paper presented at the Proceedings of the 27th International Conference on Machine Learning (ICML2010), Haifa, Israel.

• [2008, inproceedings | www]

  Yang, H., King, I., & Lyu, M. R. (2008). Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge. Paper presented at the Proceedings to the 15th International Conference on Neural Information Processing (ICONIP'08), Auckland, New Zealand.

• [2008, inproceedings | www]

  Yang, H., Huang, K., King, I., & Lyu, M. R. (2008). Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. Paper presented at the Proceedings to the World Congress on Computational Intelligence (WCCI2008), Hong Kong.

1. “Sparse learning under regularization framework,” Ningbo Institute of Technology, Zhejiang University, China. Jun. 2010
   Slides
   
   
2. “Online learning for multi-task feature selection,” The Third Nanshan Academic Forum for PhD Candidates from Shenzhen, Hong Kong, Macao and Taiwan. Shenzhen, China. Nov. 2010
   Slides
   
   

URL: http://www.cse.cuhk.edu.hk/~xxin
Email: xxin@cse.cuhk.edu.hk

“Effective Fusion-based Approaches for Recommender Systems” Thesis Presentation

1. “A Social Recommendation Framework Based on Multi-scale Continuous Conditional Random Fields,” Xin Xin, Irwin King, Hongbo Deng and Michael R. Lyu, In Proceedings of ACM 18th Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, November 2009.
   
   
2. “Academic Conference Homepage Understanding Using Hierarchical Conditional Random Fields,” Xin Xin, Juanzi Li, Jie Tang and Qiong Luo, In Proceedings of ACM 17th Conference on Information and Knowledge Management (CIKM 2008), Napa Valley, CA, October 2008.
   
   
3. “Enhancing Semantic Web by Semantic Annotation: Experiences in Building an Automatic Conference Calendar,” Xin Xin, Juanzi Li, and Jie Tang, In Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2007), Fremont, CA, November 2007.
   
   
4. “Design and Implementation of a Textual Information Extraction Platform Based on Machine Learning,” Xin Xin and Juanzi Li, In Proceedings of the 2007 International Chinese Computing Conference (ICCC 2007), Wuhan, China, October 2007
   
   

URL: https://sites.google.com/site/zhenjianglin
Email: linallen5460@gmail.com

“Link-based Similarity Measurement Techniques and Applications” Thesis Presentation

• “MatchSim: A Novel Similarity Measure based on Maximum Neighborhood Matching,” Z. Lin, M.R. Lyu and I. King, Knowledge and Information Systems (KAIS), pp. 1-26, June 2011.
  Paper [ML]

• “MatchSim: Web pages similarity measurement with maximum matching,” Z. Lin, I. King, and M.R. Lyu in Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, China, November 2-6, 2009. [Paper] Poster [ML] [AR: (123 + 171)/847 = 34.7%]
• “Extending link-based algorithms for similar web pages,” Z. Lin, I. King, and M.R. Lyu, Proceedings of the 6th International Conference on Web Intelligence (WI07), 2007, pp. 263-266. Paper [ML]
• “PageSim: A Novel Link-based Measure of Web Page Similarity,” Z. Lin, M. R. Lyu, and I. King, in Proceedings of the 15th international conference on World Wide Web (WWW06), Edinburgh, Scotland, 23-26 May 2006, pp. 1019-1020.Paper[poster]
• “PageSim: A Novel Link-based Similarity Measure for the World Wide Web,” Z. Lin, I. King, and M. R. Lyu, in Proceedings of the 5th International Conference on Web Intelligence (WI06), Hong Kong, 28-22 December 2006. Paperpresentation

• 06 Spring: “PageSim: A Novel Link-based Measure of Web Page Similarity” Paper
• 06 Winter: “Extending Link-based Algorithms for Similar Web Pages with Neighborhood Structure” Paper
• 07 Spring: “Top-N Recommendation Algorithm Based on Item-Graph” Paper

• 06 Spring: “PageSim: A Novel Link-based Measure of Web Page Similarity” presentation
• 06 Winter: “Extending Link-based Algorithms for Similar Web Pages with Neighborhood Structure” presentation
• 07 Spring: “Top-N Recommendation Algorithm Based on Item-Graph” presentation

URL: http://www.cse.cuhk.edu.hk/~wjzheng
Email: wjzheng@cse.cuhk.edu.hk

Automatic Software Testing Via Mining Software Data Thesis Presentation

1. “Mining Test Oracles of Web Search Engines,” Wujie Zheng, Hao Ma, M.R. Lyu, Tao Xie, and Irwin King, in Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), Short Paper, Lawrence, Kan., US, November 6-10, 2011. Paper [SE]
   
2. “Cross-library API Recommendation using Web Search Engines,” Wujie Zheng, Qirun Zhang, and M.R. Lyu, in Proceedings of in ESEC/FSE 2011, New Ideas Track, Szeged, Hungary, September 5-9, 2011 Paper [SE]
   
3. “Flow-Augmented Call Graph: A New Foundation for Taming API Complexity,” Qirun Zhang, Wujie Zheng, and M.R. Lyu, in Proceedings of Fundamental Approaches to Software Engineering (FASE'11), , Saarbrucken, Germany, March 26 - April 3, 2011, pp. 386-400. Paper [SE]
   
4. “Random Unit-Test Generation with MUT-aware Sequence Recommendation,” Wujie Zheng, Qirun Zhang, M.R. Lyu, and Tao Xie, in Proceedings of the 25th IEEE/ACM International Conference on Automated Software Engineering (ASE 2010), Short Paper, Antwerp, Belgium, September 2010. [Paper] [SE]
   
5. “Test Selection for Result Inspection via Mining Predicate Rules,”, Wujie Zheng, M.R. Lyu, and Tao Xie, in Proceedings of the 31st International Conference on Software Engineering (ICSE 2009), New Ideas and Emerging Results, Vancouver, Canada, May 2009. Paperpresentationposter