PhD student: 2015~Present
URL: http://www.cse.cuhk.edu.hk/~jianli
Email: jianli@cse.cuhk.edu.hk

1. “Neuron Interaction Based Representation Composition for Neural Machine Translation,” Jian Li, Xing Wang, Baosong Yang, Shuming Shi, M. R. Lyu, Zhaopeng Tu, in Proceedings of the 2020 AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, February 7 - February 12, 2020.
   Paper [ML]
   
   
2. “Information Aggregation for Multi-Head Attention with Routing-by-Agreement,” Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, M. R. Lyu, Zhaopeng Tu, in Proceedings of the 2019 Annual Conference of the North American Capter of the Association for Computational Linguistics (NAACL 2019), Minneapolis, USA, June 2 - 7, 2019.
   Paper [ML]
   
   
3. “Multi-Head Attention with Disagreement Regularization,” Jian Li, Zhaopeng Tu, Baosong Yang, M.R. Lyu, Tong Zhang, in Proceedings of the 2018 International Conference on Empirical Methods in Natural Language Processing (EMNLP 2018).
   Paper [ML]
   
   
4. “Code Completion with Neural Attention and Pointer Networks,” Jian Li, Yue Wang, M.R. Lyu, Irwin King, in Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, July 13-19, 2018.
   Paper [SE]
   
   
5. “Software Defect Prediction via Convolutional Neural Network,” Jian Li, Pinjia He, Jieming Zhu, M. R. Lyu, in Proceedings of the 2017 IEEE International Conference on Software Quality, Reliability and Security (QRS 2017), Prague, Czech Republic, July 25-29, 2017, pp. 318-328.
   Paper [SE]
   
   

PhD student: 2016~Present
URL: http://www.cse.cuhk.edu.hk/~yuewang
Email: yuewang@cse.cuhk.edu.hk

1. “Topic-Aware Neural Keyphrase Generation for Social Media Language,” Yue Wang, Jing Li, Hou Pong Chan, Irwin King, M. R. Lyu, Shuming Shi, in Proceedings of the 2019 Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, July 28- August 2, 2019.
   Paper Poster [ML]
   
   
2. “Microblog Hashtag Generation via Encoding Conversation Contexts,” Yue Wang, Jing Li, Irwin King, M. R. Lyu, Shuming Shi, in Proceedings of the 2019 Annual Conference of the North American Capter of the Association for Computational Linguistics (NAACL 2019), Minneapolis, USA, June 2 - 7, 2019.
   Paper [ML]
   
   

PhD student: 2016~Present
URL: http://www.cse.cuhk.edu.hk/~slhe
Email: slhe@cse.cuhk.edu.hk

1. “Towards Understanding Neural Machine Translation with Word Importance,” Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, M.R. Lyu, Shuming Shi, in Proceedings of the 2019 International Conference on Empirical Methods in Natural Language Processing (EMNLP 2019).
   Paper [ML]
   
   
2. “Identifying Impactful Service System Problems via Log Analysis,” Shilin He, Qingwei Lin, Jian-Guang Lou, Hongyu Zhang, Michael R.Lyu, Dongmei Zhang, in Proceedings of the 26th ACM Symposium on the Foundations of Software Engineering (FSE 2018), Florida, United States, November 4-9, 2018.
   Paper [SE]
   
   
3. “Experience Report: System Log Analysis for Anomaly Detection,” Shilin He, Jieming Zhu, Pinjia He, and Michael R. Lyu, in Proceedings of the 27th International Sysposium on Software Reliability Engineering (ISSRE 2016), Ottawa, Canada, October 23-27, 2016, pp. 207-218.
   Paper [DS]
   
   

PhD student: 2016~Present
URL: http://www.cse.cuhk.edu.hk/~ppliu
Email: ppliu@cse.cuhk.edu.hk

1. “Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching,” Pengpeng Liu, Irwin King, M. R. Lyu, Jia Xu, in Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, USA, June 14-19, 2020.
   Paper [MM]
   
   
2. “SelFlow: Self-Supervised Learning of Optical Flow,” Pengpeng Liu, M. R. Lyu, Irwin King, Jia Xu, in Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, USA, June 16-20, 2019.
   Paper [MM]
   
   
3. “DDFlow: Learning Optical Flow with Unlabeled Data Distillation,” Pengpeng Liu, Irwin King, M. R. Lyu, Jia Xu, in Proceedings of the 2019 AAAI Conference on Artificial Intelligence (AAAI 2019), Hawaii, USA, January 27 - February 1, 2019.
   Paper [ML]
   
   

PhD student: 2017~Present
URL: http://www.cse.cuhk.edu.hk/~hlbai
Email: hlbai@cse.cuhk.edu.hk

1. “Few Shot Network Compression via Cross Distillation,” Haoli Bai, Jiaxiang Wu, Irwin King, M. R. Lyu, in Proceedings of the 2020 AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, February 7 - February 12, 2020.
   Paper [ML]
   
   
2. “Neural Relational Topic Models for Scientific Article Analysis,” Haoli Bai, Zhuangbin Chen, M. R. Lyu, Irwin King, Zenglin Xu, in Proceedings of the 2018 ACM International Conference on Information and Knowledge Management (CIKM 2018), Iorino, Italy, October 22-26, 2018.
   Paper [ML]
   
   

PhD student: 2017~Present
URL: http://www.cse.cuhk.edu.hk/~lijj
Email: lijj@cse.cuhk.edu.hk

1. “Improving Question Generation With to the Point Context,” Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, M.R. Lyu, in Proceedings of the 2019 International Conference on Empirical Methods in Natural Language Processing (EMNLP 2019).
   Paper [ML]
   
   

PhD student: 2017~Present
URL: http://www.cse.cuhk.edu.hk/~wxjiao
Email: wxjiao@cse.cuhk.edu.hk

1. “Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network,” Wenxiang Jiao, M. R. Lyu, Irwin King, in Proceedings of the 2020 AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, February 7 - February 12, 2020.
   Paper [ML]
   
   
2. “HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition,” Wenxiang Jiao, Haiqin Yang, Irwin King, M. R. Lyu, in Proceedings of the 2019 Annual Conference of the North American Capter of the Association for Computational Linguistics (NAACL 2019), Minneapolis, USA, June 2 - 7, 2019.
   Paper [ML]
   
   

PhD student: 2017~Present
URL: http://www.cse.cuhk.edu.hk/~wbwu
Email: wbwu@cse.cuhk.edu.hk

1. “Towards Global Explanations of Convolutional Neural Networks With Concept Attribution,” Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, M. R. Lyu, Yu-Wing Tai, in Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020) (Oral Presentation), Seattle, USA, June 14-19, 2020.
   Paper [MM]
   
   
2. “Boosting the Transferability of Adversarial Samples via Attention,” Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, M. R. Lyu, Yu-Wing Tai, in Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, USA, June 14-19, 2020.
   Paper [MM]
   
   
3. “Deep Validation: Toward Detecting Real-world Corner Cases for Deep Neural Networks,” Weibin Wu, Hui Xu, Sanqiang Zhong, M.R. Lyu, Irwin King, in Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2019), Portland, Oregon, USA, June 24–27, 2019.
   Paper Slides [SE]
   
   

PhD student: 2017~Present
URL: http://www.cse.cuhk.edu.hk/~yfgao
Email: yfgao@cse.cuhk.edu.hk

1. “Generating Distractors for Reading Comprehension Questions from Real Examinations,” Yifan Gao, Lidong Bing, Piji Li, Irwin King, M. R. Lyu, in Proceedings of the 2019 AAAI Conference on Artificial Intelligence (AAAI 2019), Hawaii, USA, January 27 - February 1, 2019.
   Paper [ML]
   
   
2. “Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling,” Yifan Gao, Piji Li, Irwin King, M. R. Lyu, in Proceedings of the 2019 Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, July 28- August 2, 2019.
   Paper [ML]
   
   
3. “Difficulty Controllable Question Generation for Reading Comprehension,” Yifan Gao, Lidong Bing, Wang Chen, M. R. Lyu, Irwin King, in Proceedings of the 2019 International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 10-16, 2019.
   Paper [ML]
   
   

PhD student: 2018~Present
URL: http://www.cse.cuhk.edu.hk/~tyyang
Email: tyyang@cse.cuhk.edu.hk

PhD student: 2018~Present
URL: http://www.cse.cuhk.edu.hk/~zbchen
Email: zbchen@cse.cuhk.edu.hk

1. “Neural Relational Topic Models for Scientific Article Analysis,” Haoli Bai, Zhuangbin Chen, M. R. Lyu, Irwin King, Zenglin Xu, in Proceedings of the 2018 ACM International Conference on Information and Knowledge Management (CIKM 2018), Iorino, Italy, October 22-26, 2018.
   Paper [ML]
   
   

Graduated in 2019
URL: http://www.cse.cuhk.edu.hk/~jczeng
Email: jczeng@cse.cuhk.edu.hk

“Latent Variable Modeling for Natural Language Understanding” ThesisPresentation

1. “What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations,” Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, M.R. Lyu, Irwin King, Transactions of the Association for Computational Linguistics. (TACL), vo. 7, pp. 267-281, 2019.
   Paper [ML]
   
   

1. “Topic Memory Networks for Short Text Classification,” Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, M.R. Lyu, Irwin King, in Proceedings of the 2018 International Conference on Empirical Methods in Natural Language Processing (EMNLP 2018).
   Paper [ML]
   
   

Graduated in 2019
URL: http://www.cse.cuhk.edu.hk/~yxsu
Email: yxsu@cse.cuhk.edu.hk

“Distributed Distance Learning Algorithms and Applications” ThesisPresentation

1. “Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators,” Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, M. R. Lyu, in Proceedings of the 2019 International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 10-16, 2019.
   Paper [ML]
   
   
2. “Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization,” Yuxin Su, M. R. Lyu, Irwin King, in Proceedings of the 2018 ACM International Conference on Information and Knowledge Management (CIKM 2018), Iorino, Italy, October 22-26, 2018.
   Paper [ML]
   
   
3. “Learning to Rank Using Localized Geometric Mean Metrics,” Yuxin Su, Irwin King, M. R. Lyu, in Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Tokyo, Japan, August 07–11, 2017, pp. 45-54.
   Paper [ML]
   
   
4. “Distributed Information-Theoretic Metric Learning in Apache Spark,” Yuxin Su, Haiqin Yang, Irwin King, M.R. Lyu, in Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN 2016), Vancouver, Canada, July 24-29, 2016.
   Paper [ML]
   
   

Graduated in 2019
URL: http://www.cse.cuhk.edu.hk/~xtyu
Email: xtyu@cse.cuhk.edu.hk

“Efficient Learningin Stochastic Bandits” ThesisPresentation

1. “Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs,” Han Shao, Xiaotian Yu, Irwin King, M.R. Lyu, in Proceedings of the 2018 International Conference on Neural Information Processing Systems (NIPS 2018).
   Paper [ML]
   
   
2. “Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs,” Xiaotian Yu, Han Shao, M. R. Lyu, Irwin King, in Proceedings of the 2018 International Conference on Uncertainty in Artificial Intelligence (UAI 2018), Monterey, California, USA, August 6–10, 2018.
   Paper [ML]
   
   
3. “Online Non-negative Dictionary Learning via Moment Information for Sparse Poisson Coding,” Xiaotian Yu, Haiqin Yang, Irwin King, M.R. Lyu, in Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN 2016), Vancouver, Canada, July 24-29, 2016.
   Paper [ML]
   
   
4. “CBRAP: Contextual Bandits with RAndom Projection,” Xiaotian Yu, Michael R. Lyu, Irwin King, in Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI 2017), San Francisco, California USA, February 4–9, 2017.
   Paper [ML]
   
   
5. “Risk Control of Best Arm Identification in Multi-Armed Bandits via Successive Rejects,” Xiaotian Yu, Irwin King, M. R. Lyu, in Proceedings of the 2017 IEEE International Conference on Data Mining series (ICDM 2017) , New Orleans, USA, November 18–21, 2017, pp. 1147-1152.
   Paper [ML]
   
   
6. “A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization,” Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang, in Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, July 13-19, 2018.
   Paper [ML]
   
   

Graduated in 2018
URL: http://www.cse.cuhk.edu.hk/~hxu
Email: hxu@cse.cuhk.edu.hk

“Software Obfuscation with Layered Security” Thesis Presentation

1. “Assessing the Security Properties of Software Obfuscation,” Hui Xu, and Michael R. Lyu, IEEE Security & Privacy Magazine, vol.14, issue.5, 2016, pp.80-83.
   Paper [SE]
   
   
2. “Benchmarking the Capability of Symbolic Execution Tools with Logic Bombs,” Hui Xu, Zirui Zhao, Yangfan Zhou, and M.R. Lyu, IEEE Transactions on Dependable and Secure Computing. (TDSC), accepted in 2019 for publication.
   Paper [SE]
   
   

1. “Manufacturing Resilient Bi-Opaque Predicates against Symbolic Execution,” Hui Xu, Yangfan Zhou, Yu Kang, Fengzhi Tu and Michael R. Lyu, in Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks. (DSN 2018), Luxembourg City, Luxembourg, June 1-5, 2018.
   Paper [SE]
   
   
2. “Concolic Execution on Small-Size Binaries: Challenges and Empirical Study,” Hui Xu, Yangfan Zhou, Yu Kang and Michael R. Lyu, in Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks. (DSN 2017), Denver, CO, USA, June 26-29, 2017, pp. 181-188.
   Paper [SE]
   
   
3. “N-version Obfuscation,” Hui Xu, Yangfan Zhou and Michael R. Lyu, in Proceedings of the 2nd ACM Cyber-Physical System Security Workshop (CPSS 2016), Xi'an, China, May 30, 2016, pp. 22-33.
   Paper [SE]
   
   
4. “SpyAware: Investigating the Privacy Leakage Signatures in App Execution Traces,” Hui Xu, Yangfan Zhou, Cuiyun Gao, Yu Kang, and Michael R. Lyu, in Proceedings of the 26th International Sysposium on Software Reliability Engineering (ISSRE 2015), Washington DC, USA, November 2-5, 2015.
   Paper [SE]
   
   
5. “AR-Tracker: Track the Dynamics of Mobile Apps via User Review Mining,” Cuiyun Gao, Hui Xu, Junjie Hu, and Yangfan Zhou, in proc. the 2015 International Workshop on Internet based Virtual Computing Environment (IVCE 2015), San Francisco, USA, 2015.
   Paper [DS]
   
   
6. “Towards Continuous and Passive Authentication via Touch Biometrics: An Experimental Study on Smartphones,” Hui Xu, Yangfan Zhou, and M.R. Lyu, in Proceedings of the USENIX Symposium on Usable Privacy and Security (SOUPS 2014), Menlo Park, CA, USA, July 9-11, 2014, pp. 187-198.
   Paper [SE]
   
   

Graduated in 2018
URL: http://www.cse.cuhk.edu.hk/~cygao
Email: cygao@cse.cuhk.edu.hk

“User Review Mining for Assisting App Development” Thesis Presentation

1. “Emerging App Issue Identification from User Feedback: Experience on WeChat,” Cuiyun Gao, Wujie Zheng, Yuetang Deng, David Lo, Jichuan Zeng, M.R. Lyu, Irwin King, in Proceedings of the ACM/IEEE 41th International Conference on Software Engineering Companion (ICSE 2019-C), Montreal, Canada, May 25-31, 2019.
   Paper [SE]
   
   
2. “INFAR: Insight Extraction from App Reviews,” Cuiyun Gao, Jichuan Zeng, David Lo, Chin-Yew Lin, M. R.Lyu, Irwin King, in Proceedings of the 26th ACM Symposium on the Foundations of Software Engineering (FSE 2018 demo track), Florida, United States, November 4-9, 2018.
   Paper [SE]
   
   
3. “Online App Review Analysis for Identifying Emerging Issues,” Cuiyun Gao, Jichuan Zeng, M.R. Lyu, Irwin King in Proceedings of the ACM/IEEE 40th International Conference on Software Engineering Companion (ICSE 2018), Gothenburg, Sweden, May 27-June 3, 2018, pp. 48-58.
   Paper [SE]
   
   
4. “IntelliAd: assisting mobile app developers in measuring ad costs automatically,” Cuiyun Gao, Yichuan Man, Hui Xu, Jieming Zhu, Yangfan Zhou, M.R. Lyu, in Proceedings of the ACM/IEEE 39th International Conference on Software Engineering Companion (ICSE-C 2017), Buenos Aires, Argentina, May 20-28, 2017, pp. 253-255.
   Paper [SE]
   
   
5. “PAID: Proritizing App Issues for Developers by Tracking User Reviews Over Versions,” Cuiyun Gao, Baoxiang Wang, Pinjia He, Jieming Zhu, Yangfan Zhou, and Michael R. Lyu, in Proceedings of the 26th International Sysposium on Software Reliability Engineering (ISSRE 2015), Washington DC, USA, November 2-5, 2015.
   Paper [DS]
   
   
6. “AR-Tracker: Track the Dynamics of Mobile Apps via User Review Mining,” Cuiyun Gao, Hui Xu, Junjie Hu, and Yangfan Zhou, in proc. the 2015 International Workshop on Internet based Virtual Computing Environment (IVCE 2015), San Francisco, USA, 2015.
   Paper [DS]
   
   

PhD student: Grauduated in 2018
URL: http://www.cse.cuhk.edu.hk/~pjhe
Email: pjhe@cse.cuhk.edu.hk

“Automated Runtime Data Analysis for System Reliability Management” PresentationThesis

1. “Towards Automated Log Parsing for Large-Scale Log Data Analysis,” Pinjia He, Jieming Zhu, Shilin He, Jian Li, and M.R. Lyu, IEEE Transactions on Dependable and Secure Computing. (TDSC), (accepted in 2017), vol.15, no.6, 2018, pp.931-944.
   Paper [DS]
   
   

1. “Characterizing the Natural Language Descriptions in Software Logging Statements,” Pinjia He, Zhuangbin Chen, Shilin He, M. R.Lyu, in Proceedings of the 2018 ACM/IEEE International Conference on Automated Software Engineering (ASE 2018), Montpellier, France, September 3-7, 2018.
   Paper [SE]
   
   
2. “Drain: An Online Log Parsing Approach with Fixed Depth Tree,” Pinjia He, Jieming Zhu, Zibin Zheng, and Michael R. Lyu, in Proceedings of the 24th International Conference on Web Services (ICWS 2017), Honolulu, HI, USA, June 25-30, 2017, pp. 33-40.
   Paper [DS]
   
   
3. “An Evaluation Study on Log Parsing and Its Use in Log Mining,” Pinjia He, Jieming Zhu, Shilin He, Jian Li and Michael R. Lyu, in Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks. (DSN 2016), Toulouse, France, June 28-July 1st, 2016, pp.654-661.
   Paper [DS]
   
   
4. “Learning to Log: Helping Developers Make Informed Logging Decisions,” Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, M.R. Lyu, and Dongmei Zhang, in Proceedings of the ACM/IEEE 32nd International Conference on Software Engineering (ICSE 2015), Florence, Italy, May 16-24, 2015.
   Paper [SE]
   
   
5. “A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation,” Jieming Zhu, Pinjia He, Zibin Zheng, and M.R. Lyu, in Proceedings of the 22nd IEEE Conference on Web Services (ICWS 2015), New York, USA, June 27–July 2, 2014.
   Paper [DS]
   
   
6. “Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation,” Jieming Zhu, Pinjia He, Zibin Zheng, and M.R. Lyu, in Proceedings of the 34th International Conference on Distributed Computing Systems (ICDCS 2014), Madrid, Spain, June 30–July 3, 2014, pp. 318-327.
   Paper Presentation [DS]
   
   
7. “Exploiting Homophily-based Implicit Social Network to Improve Recommendation Performance,” Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, M.R. Lyu, and Irwin King, in Proceedings of the 2014 International Joint Conference on Neural Networks (IJCNN 2014), Beijing, China, July 6-11, 2014, pp. 2539-2547.
   Paper [ML]
   
   
8. “Location-based Hierarchical Matrix Factorization for Web Service Recommendation,” Pinjia He, Jieming Zhu, Zibin Zheng, Jianlong Xu, and M.R. Lyu, in Proceedings of the 21st IEEE Conference on Web Services (ICWS 2014), Alaska, USA, June 27–July 2, 2014, pp. 297-304.
   Paper [DS]
   
   
9. “A Hierarchical Matrix Factorization Approach for Location-based Web Service QoS Prediction,” Pinjia He, Jieming Zhu, Jianlong Xu, and M.R. Lyu, in Proceedings of the 8th IEEE International Symposium on Service-Oriented System Engineering (SOSE 2014), Oxford, UK, April 7-10, 2014, pp. 290-295.
   Paper Presentation [DS]
   
   

PhD student: Graduated in 2018
URL: http://www.cse.cuhk.edu.hk/~xxchen
Email: xxchen@cse.cuhk.edu.hk

“Randomized Algorithms for Machine Learning” Thesis Presentation

1. “FROSH: FasteR Online Sketching Hashing,” Xixian Chen, Irwin King, M. R. Lyu, in Proceedings of the 2017 International Conference on Uncertainty in Artificial Intelligence (UAI 2017), Sydney, Australia, August 11–15, 2017.
   Paper Appendix Poster Slides [ML]
   
   
2. “Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data,” Xixian Chen, M. R. Lyu, Irwin King, in Proceedings of the 34th International Conference on Machine Learning (ICML 2017), Sydney, Australia, August 06–11, 2017, pp. 767-776.
   Paper Appendix Poster Slides [ML]
   
   
3. “Training-Efficient Feature Map for Shift-Invariant Kernels,” Xixian Chen, Haiqin Yang, Irwin King, and M.R. Lyu, in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25–31, 2015, pp. 3395-3401.
   Paper Poster [ML]
   
   

PhD student: Graduated in 2017
URL: http://www.cse.cuhk.edu.hk/~slzhao
Email: slzhao@cse.cuhk.edu.hk

“Point-of-interest Recommendation in Location-based Social Networks” PresentationThesis

1. “Personalized Sequential Check-In Prediction: Beyond Geographical and Temporal Contexts,” Shenglin Zhao, Xixian Chen, Irwin King, M. R. Lyu, in Proceedings of the 2018 IEEE International Conference on Multimedia and Expo (ICME 2018), San Diego, USA, July 23-27, 2018.
   Paper [MM]
   
   
2. “Mining Business Opportunities from Location-based Social Networks,” Shenglin Zhao, Irwin King, M. R. Lyu, Jia Zeng, Mingxuan Yuan, in Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017 short), Tokyo, Japan, August 07–11, 2017, pp. 1037-1040.
   Paper [ML]
   
   
3. “Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation,” Shenglin Zhao, Tong Zhao, Irwin King, M.R. Lyu, in Proceedings of the 26th International Conference on World Wide Web Companion (WWW 2017 Companion), Perth, Australia, April 03–07, 2017, pp. 153-162.
   Paper [ML]
   
   
4. “Aggregated Temporal Tensor Factorization Model for Point-of-interest Recommendation,” Shenglin Zhao, Michael R. Lyu, and Irwin King, in Proceedings of the 23rd International Conference on Neural Information Processing (ICONIP2016), Kyoto, Japan, October 16-21, 2016, pp. 450-458.
   Paper [ML]
   
   
5. “STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation,” Shenglin Zhao, Tong Zhao, Haiqin Yang, M.R. Lyu,Irwin King, in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI 2016), Phoenix, Arizona USA, February 12–17, 2016, pp. 315-321.
   Paper [ML]
   
   
6. “Capturing Geographical Influence in POI Recommendations,” Shenglin Zhao, Irwin King, and M.R. Lyu, in Proceedings of the 20th International Conference on Neural Information Processing (ICONIP2013), Daegu, Korea, November 3-7, 2013, pp. 530-537.
   Paper [ML]
   
   

Graduated in 2017
URL: http://www.cse.cuhk.edu.hk/~hyzhang
Email: hyzhang@cse.cuhk.edu.hk

“Modeling the Relationship between Links and Communities for Overlapping Community” PresentationThesis

1. “Overlapping community detection with preference and locality information: a non-negative matrix factorization approach,” Hongyi Zhang, Xingyu Niu, Irwin King, and M.R. Lyu, Social Network Analysis and Mining. (SNAM), 8, no.1(2018):43.
   Paper [ML]
   
   

1. “From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach,” Xinyu Niu, Hongyi Zhang, M. R. Lyu, and Irwin King, in International Conference on Advanced Data Mining and Applications (ADMA 2017), pp. 180-194. Springer, Cham, 2017.
   Paper [ML]
   
   
2. “Modeling the Homophily Effect between Links and Communities for Overlapping Community Detection,” Hongyi Zhang, Tong Zhao, Irwin King, M.R. Lyu, in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City, USA, July 9–15, 2016.
   Paper [ML]
   
   
3. “Exploiting k-Degree Locality to Improve Overlapping Community Detection,” Hongyi Zhang, M.R. Lyu, and Irwin King, in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25–31, 2015, pp. 2394-2400.
   Paper Poster Presentation [ML]
   
   
4. “Incorporating Implicit Link Preference Into Overlapping Community Detection,” Hongyi Zhang, M.R. Lyu, and Irwin King, in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015), Austin Texas, USA, January 25–30, 2015, pp. 396-402.
   Paper Poster [ML]
   
   

Graduated in 2016
URL: http://www.cse.cuhk.edu.hk/~ykang
Email: ykang@cse.cuhk.edu.hk

“Performance Diagnosis of Cloud-Based Mobile Applications” Presentation Thesis

1. “DiagDroid: Android Performance Diagnosis via Anatomizing Asynchronous Executions,” Yu Kang, Yangfan Zhou, Hui Xu and Michael R. Lyu, in Proceedings of the 24th ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2016), Seattle, WA, USA. November 13-18, 2016, pp.410-421.
   Paper [SE]
   
   
2. “Experience Report: Detecting Poor-Responsive UI in Android Applications,” Yu kang, Yangfan Zhou, Min Gao, Yixia Sun,and Michael R. Lyu, in Proceedings of the 27th International Sysposium on Software Reliability Engineering (ISSRE 2016), Ottawa, Canada, October 23-27, 2016, pp. 490-501.
   Paper [SE]
   
   
3. “Dependability Issues of Android Games: A First Look via Software Analysis,” Jiaojiao Fu, Yangfan Zhou, and Yu Kang in proc. the 2015 International Workshop on Internet based Virtual Computing Environment (IVCE 2015), San Francisco, USA, 2015.
   Paper [DS]
   
   
4. “A Latency-aware Co-deployment Mechanism for Cloud-based Services,” Yu Kang, Zibin Zheng, and M.R. Lyu, in Proc. 5th IEEE International Conference on Cloud Computing (CLOUD 2012), Applications and Experience Track, Hawaii, US, June 24-29, 2012. pp. 630 - 637. Paper Presentation [DS]
   
   
5. “WSP: A Network Coordinate based Web Service Positioning Framework for Response Time Prediction,” Jieming Zhu, Yu Kang, Zibin Zheng, and M.R. Lyu, in Proc. 10th IEEE International Conference on Web Services (ICWS 2012), Research Track, Hawaii, US, June 24-29, 2012, pp. 90-97. Paper Presentation[DS]
   
   
6. “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 (CLOUD 2011), Research Track, Washington D.C. US, July 4-9, 2011, pp.227-234. Paper Presentation [DS]
   
   

Graduated in 2015
URL: http://www.cse.cuhk.edu.hk/~ccheng
Email: ccheng@cse.cuhk.edu.hk

“Recommendation Systems for Mobile Location Based Service” Presentation Thesis

1. “Gradient Boosting Factorization Machines,” Chen Cheng, Fen Xia, Tong Zhang, Irwin King, and M.R. Lyu, in Proceedings of the 8th ACM Conference on Recommender Systems (RecSys 2014), Silicon Valley, USA, October 6-10, 2014.
   Paper [ML]
   
   
2. “Where You Like to Go Next: Successive Point-of-Interest Recommendation,” Chen Cheng, Haiqin Yang, M.R. Lyu, and Irwin King, in Proceedings of the 23rd International Joint Conference on Articial Intelligence (IJCAI 2013), Beijing, China, August 3-9, 2013, pp. 2605-2611.
   Paper [ML]
   
   
3. “Fused Matrix Factorization with Geographical and Social In?uence in Location-based Social Networks”, Chen Cheng, Haiqin Yang, Irwin King, and M.R. Lyu, In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI-12), Toronto, Ontario, Canada, July 22 - 26, 2012. Paper Presentation Poster [ML]
   
   

Graduated in 2016
URL: http://www.cse.cuhk.edu.hk/~jmzhu
Email: jmzhu@cse.cuhk.edu.hk

“Data-Driven Quality Management of Online Service Systems” PresentationThesis

1. “Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix Factorization,” Jieming Zhu, Pinjia He, Zibin Zheng, and M.R. Lyu, IEEE Transactions on Parallel and Distributed systems. (TPDS), vol.28, issue.10, 2017, pp.2911-2924.
   Paper [DS]
   
   

1. “CARP: Context-Aware Reliability Prediction of Black-Box Web Services,” Jieming Zhu, Pinjia He, Qi Xie, Zibin Zheng, and Michael R. Lyu, in Proceedings of the 24th International Conference on Web Services (ICWS 2017), Honolulu, HI, USA, June 25-30, 2017, pp. 17-24.
   Paper [DS]
   
   
2. “Learning to Log: Helping Developers Make Informed Logging Decisions,” Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, M.R. Lyu, and Dongmei Zhang, in Proceedings of the ACM/IEEE 32nd International Conference on Software Engineering (ICSE 2015), Florence, Italy, May 16-24, 2015.
   Paper [SE]
   
   
3. “A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation,” Jieming Zhu, Pinjia He, Zibin Zheng, and M.R. Lyu, in Proceedings of the 22nd IEEE Conference on Web Services (ICWS 2015), New York, USA, June 27–July 2, 2014.
   Paper [DS]
   
   
4. “Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation,” Jieming Zhu, Pinjia He, Zibin Zheng, and M.R. Lyu, in Proceedings of the 34th International Conference on Distributed Computing Systems (ICDCS 2014), Madrid, Spain, June 30–July 3, 2014, pp. 318-327.
   Paper Presentation [DS]
   
   
5. “Location-based Hierarchical Matrix Factorization for Web Service Recommendation,” Pinjia He, Jieming Zhu, Zibin Zheng, Jianlong Xu, and M.R. Lyu, in Proceedings of the 21st IEEE Conference on Web Services (ICWS 2014), Alaska, USA, June 27–July 2, 2014, pp. 297-304.
   Paper [DS]
   
   
6. “A Hierarchical Matrix Factorization Approach for Location-based Web Service QoS Prediction,” Pinjia He, Jieming Zhu, Jianlong Xu, and M.R. Lyu, in Proceedings of the 8th IEEE International Symposium on Service-Oriented System Engineering (SOSE 2014), Oxford, UK, April 7-10, 2014, pp. 290-295.
   Paper Presentation [DS]
   
   
7. “Service-generated Big Data and Big Data-as-a-Service: An Overview”, Zibin Zheng, Jieming Zhu, and M.R. Lyu, in Proc. 2nd IEEE International Congress on Big Data, Santa Clara, CA, USA, June 27-July 2, 2013, pp. 403-410.
   Paper Presentation Poster [DS]
   
   
8. “DR²: Dynamic Request Routing for Tolerating Latency Variability in Online Cloud Applications,” Jieming Zhu, Zibin Zheng, and M.R. Lyu, in Proceedings of the IEEE 6th International Conference on Cloud Computing (CLOUD 2013), Santa Clara, CA, USA, June 27 – July 2, 2013, pp. 589-596.
   Paper Presentation[DS]
   
   
9. “Scaling Service-oriented Applications into Geo-distributed Clouds,” Jieming Zhu, Zibin Zheng, Yangfan Zhou, and M.R. Lyu, in Proceedings of the 7th IEEE International Symposium on Service-Oriented System Engineering (SOSE 2013), San Francisco, USA, March 25-28, 2013, pp. 335-340.
   Paper [DS]
   
   
10. “WSP: A Network Coordinate based Web Service Positioning Framework for Response Time Prediction,” Jieming Zhu, Yu Kang, Zibin Zheng, and M.R. Lyu, in Proc. 10th IEEE International Conference on Web Services (ICWS 2012), Research Track, Hawaii, US, June 24-29, 2012, pp. 90-97.
    Paper Presentation [DS]
    
    
11. “A Clustering-Based QoS Prediction Approach for Web Service Recommendation,” Jieming Zhu, Yu Kang, Zibin Zheng, and M.R. Lyu, in proc. the 4th International Workshop on Internet based Virtual Computing Environment (IVCE 2012), Shenzhen, China, 2012, pp. 93-98.
    Paper [DS]
    
    

Graduated in 2015
URL: http://www.cse.cuhk.edu.hk/~gling
Email: gling@cse.cuhk.edu.hk

“Learning to Improve Recommender Systems” Thesis Presentation

1. “Ratings Meet Reviews, a Combined Approach to Recommend,” Guang Ling, M.R. Lyu, and Irwin King, in Proceedings of the 8th ACM Conference on Recommender Systems (RecSys 2014), Silicon Valley, USA, October 6-10, 2014, pp. 105-112.
   Paper
2. “A Unified Framework for Reputation Estimation in Online Rating Systems,” Guang Ling, Irwin King, and M.R. Lyu, in Proceedings of the 23rd International Joint Conference on Articial Intelligence (IJCAI 2013), Beijing, China, August 3-9, 2013, pp. 2670-2676.
   Paper [ML]
   
   
3. “Online Learning for Collaborative Filtering”, Guang Ling, Haiqin Yang, Irwin King and M. R. Lyu, in Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN2012), Brisbane, Australia, June 10 - 15, 2012. Paper [ML]
   
   
4. “Response Aware Model-Based Collaborative Filtering”, Guang Ling, Haiqin Yang, Irwin King, and M.R. Lyu, in Proceedings of UAI 2012, Catalina Island, United States. Paper Presentation Poster [ML]
   
   

Graduated in 2014
URL: http://www.cse.cuhk.edu.hk/~sychen
Email: sychen@cse.cuhk.edu.hk

“Learning with Limited Samples” Thesis Presentation

1. “Combinatorial Pure Exploration of Multi-Armed Bandits”, Shouyuan Chen, Tian Lin, Irwin King, M. R. Lyu and Wei Chen, in Proceedings of Advances in Neural Information Processing Systems (NIPS 2014) (Oral Presentation), Quebec, Canada, December 8 - 12, 2014.
   Paper Presentation [ML]
   
   
2. “Contextual Combinatorial Bandit and its Application on Diversified Online Recommendation”, Lijing Qin, Shouyuan Chen, and Xiaoyan Zhu, in Proceedings of SIAM International Conference on Data Mining (SDM2014), Pennsylvania, USA, April 24 - 26, 2014. (Best Student Paper Award Runner-Up) [ML]
   
   
3. “Exact and Stable Recovery of Pairwise Interaction Tensors”, Shouyuan Chen, M.R. Lyu, Irwin King, and Zenglin Xu, in Proceedings of the Annual Conference on Advances in Neural Information Processing Systems (NIPS 2013), Nevada, USA, December 5-8, 2013, pp. 1691-1699.
   Paper Poster Spotlight [ML]
   
   

1. “My Google Experience (2015)” Presentation
   
   

Graduated in 2014
URL: http://www.cse.cuhk.edu.hk/~bcli
Email: bcli@cse.cuhk.edu.hk

“A Computational Framework for Question Processing in Community Question Answering Services” Thesis Presentation

1. “A Topic-Biased User Reputation Model in Rating Systems” Baichuan Li, Rong-Hua Li, Irwin King, Michael R. Lyu, and Jeffrey Xu Yu, Knowledge and Information Systems (KAIS)), accepted. [ML]
   
   

1. “A Hierarchical Entity-based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers” Baichuan Li, Jing Liu, Chin-Yew Lin, Irwin King, and Michael R. Lyu, In Proc. of EMNLP '13 Seattle, USA, 2013, pp. 1521-1532 Paper [ML]
   
   
2. “Communities of Yahoo! Answers and Baidu Zhidao: Complementing or Competing?”, Baichuan Li, M.R. Lyu, and I. King, in Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN 2012), Brisbane, Australia, June 10 - 15, 2012, pp. 1-8. Paper [ML]
   
   
3. “Analyzing and Predicting Question Quality in Community Question Answering Services”, Baichuan 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, pp. 775-782. Paper [ML]
   
   
4. “Question Routing in Community Question Answering: Putting Category in Its Place,” Baichuan Li, Irwin King and and M.R. Lyu, in Proceeding of the ACM 20th conference on Information and Knowledge Management (CIKM 2011, poster), Glasgow, Scotland, UK, 2011, pp. 2041-2044. Poster Paper [ML]
   
   
5. “Question Identification on Twitter,” Baichuan Li, Xiance Si, M.R. Lyu, Irwin King and Edward Y. Chang, in Proceeding of the ACM 20th conference on Information and Knowledge Management (CIKM 2011, poster), Glasgow, Scotland, UK, 2011, pp. 2477-2480. Poster Paper [ML]
   
   

Graduated in 2013
URL: http://www.cse.cuhk.edu.hk/~ylzhang
Email: ylzhang@cse.cuhk.edu.hk

“Modeling and Exploiting QoS Prediction in Cloud and Service Computing” Thesis Presentation

1. “Investigating QoS of Real-World Web Services,” Zibin Zheng, Yilei Zhang, and M. R. Lyu, IEEE Transactions on Service Computing (TSC), vol. 7, no. 4, 2014, pp. 32-29. Paper[DS]
   
   
2. “QoS Ranking Prediction for Cloud Services,” Zibin Zheng, Xinmiao Wu, Yilei Zhang, M. R. Lyu, and Jianmin Wang, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 24, no. 6, 2013, pp. 1213-1222. Paper[DS]
   
   

1. “Real-Time Performance Prediction for Cloud Components”, Yilei Zhang, Zibin Zheng, and M.R. Lyu, in Proc. in proc. the 5th IEEE International Workshop on Real-Time Service-Oriented Architecture and Applications, Shenzhen, China, 2012, pp. 106-111. Paper[DS]
   
   
2. “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. Paper[DS]
   
   
3. “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. Paper[DS]
   
   
4. “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]
   
   
5. “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] Best Paper Award Nomination
   
   
6. “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]Best Student Paper Award
   
   
7. “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. Paper[DS]
   
   

Graduated in 2013
Assistant Professor, College of Computing, Georgia Tech
URL: http://helloqirun.github.io
Email: <qrzhang at ucdavis edu>

“Scaling CFL-Reachability-Based Alias Analysis: Theory and Practice” Thesis Presentation

1. “Fast Algorithms for Dyck-CFL-Reachability with Applications to Alias Analysis,” Qirun Zhang, M.R. Lyu, Hao Yuan and Zhendong Su, in Proceedings of the 34th annual ACM SIGPLAN conference on Programming Language Design and Implementation (PLDI 2013), Seattle, Washington, USA, June 16 – 22, 2013. Paper [SE]
   
   
2. “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 2011), , Saarbrucken, Germany, March 26 - April 3, 2011, pp. 386-400. Paper Presentation [SE]
   
   
3. “Cross-library API Recommendation using Web Search Engines,” Wujie Zheng, Qirun Zhang, and M.R. Lyu, in Proceedings of the joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2011), New Ideas Track, Szeged, Hungary, September 5-9, 2011, pp. 480-483. Paper Presentation [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 Poster [SE]
   
   

Graduated in 2012
Manager, Baidu, Shenzhen
URL: http://www.cse.cuhk.edu.hk/~czhou
Email: chaozhou1986@gmail.com

“Learning with Social Media” Thesis Presentation

1. “Component Ranking for Fault-Tolerant Cloud Applications,” Zibin Zheng, Tom Chao 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,” Hao Ma, Tom Chao Zhou, M.R. Lyu and I. King, ACM Transactions on Information Systems (TOIS), vol. 29, no. 2, April 2011. paper [ML]
   
   

1. “A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering”, Tom Chao Zhou, Xiance Si, Edward Y. Chang, Irwin King and M.R. Lyu, In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI 2012), Toronto, Ontario, Canada, July 22 - 26, 2012, pp. 164-170. Paper Presentation Poster [ML]
   
   
2. “A Classification-based Approach to Question Routing in Community Question Answering,” Tom Chao Zhou, M.R. Lyu and Irwin King, 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, pp. 783-790. Paper [ML]
   
   
3. “Learning to Suggest Questions in Online Forums,” Tom Chao Zhou, Chin-Yew Lin, Irwin King, M.R. Lyu, Young-In Song and Yunbo Cao, in Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI 2011), San Francisco, California, USA, August 7 - 11, 2011, 1298-1303. Paper Presentation [ML]
   
   
4. “FTCloud: A Ranking-based Framework for Fault Tolerant Cloud Applications”, Zibin Zheng, Tom Chao Zhou, M.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 [DS]
   
   
5. “UserRec: A User Recommendation Framework in Social Tagging Systems,” Tom Chao Zhou, 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, pp. 1486-1491. [Paper] [ML]
   
   
6. “TagRec: Leveraging Tagging Wisdom for Recommendation,” Tom Chao 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] [ML]
   
   

Graduated in 2012
Lecturer, Shanghai University of Finance and Economics
URL: http://www.cse.cuhk.edu.hk/~jjxiong
Email: jjxiong@cse.cuhk.edu.hk

“Protocol Design, Testing, and Diagnosis towards Dependable Wireless Sensor Networks” Thesis Presentation

1. “MDiag: Mobility-assisted Diagnosis for Wireless Sensor Networks,” J. Xiong, Yangfan Zhou, Xinyu Chen, Evan F.Y. Young, and M.R. Lyu, Journal of Network and Computer Applications (JNCA), vol. 36, no. 1, 2013, pp. 167-177. Paper [DS]
   
   
2. “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. “Congestion Performance Improvement in Wireless Sensor Networks,” J. Xiong, M.R. Lyu, and K.W. Ng, in Proceedings of The 2012 IEEE Aerospace Conference, Big Sky, MT, USA, March 3-10, 2012, pp. 1-9. Paper Presentation [DS]
   
   
2. “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 [DS]
   
   
3. “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]
   
   
4. “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]
   
   

Graduated in 2011
Assistant Professor, Beijing Institute of Technology

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

1. “Do Ads Compete Or Collaborate? Designing Click Models With Full Relationship Incorporated,” Xin Xin, Irwin King, Ritesh Agrawal, M.R. Lyu, and Heyan Huang, in Proceedings of the ACM 21th conference on Information and Knowledge Management (CIKM2012), Hawaii, USA, 2012, pp. 1839-1843. Paper [ML]
   
   
2. “CMAP: Effective Fusion of Quality and Relevance for Multi-criteria Recommendation,” Xin Xin, M.R. Lyu and Irwin King, in Proceedings of the 4th ACM International Conference on Web Search and Data Mining (WSDM 2011), Hong Kong, February 2011, pp. 455-464. Paper Presentation [ML]
   
   
3. “A Social Recommendation Framework Based on Multi-scale Continuous Conditional Random Fields,” Xin Xin, I. King, M.R. Lyu, and H. Deng, in Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, China, November 2-6, 2009. Paper [ML]
   
   

Graduated in 2011
Software Development Engineer, Tencent

“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, 408-411. Paper Presentation [SE]
   
   
2. “Cross-library API Recommendation using Web Search Engines,” Wujie Zheng, Qirun Zhang, and M.R. Lyu, in Proceedings of the joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2011), New Ideas Track, Szeged, Hungary, September 5-9, 2011, pp. 480-483. Paper Presentation [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 2011), , Saarbrucken, Germany, March 26 - April 3, 2011, pp. 386-400. Paper Presentation [SE]
   
   
4. “Test Selection for Result Inspection via Mining Predicate Rules,” Wujie Zheng, M.R. Lyu, and T. Xie, in Proceedings of the 31st International Conference on Software Engineering (ICSE 2009), New Ideas and Emerging Results, Vancouver, Canada, May 2009, pp. 219-222.
   Paper [Presentation] Poster [SE]
   
   

Graduated in 2011
Business Analyst, Citinet Systems Ltd.

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

1. “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]
   
   

1. “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]
   
   
2. “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]
   
   
3. “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 [ML]
   
   
4. “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. Paper presentation [ML]
   
   

Graduated in 2010
Postdoc, CUHK
URL: http://www.cse.cuhk.edu.hk/~hqyang
Email: hqyang@cse.cuhk.edu.hk

“Sparse Learning Under Regularization Framework” Thesis Presentation

1. “Localized support vector regression for time series prediction,” Haiqin Yang, K. Huang, I. King, and M.R. Lyu. Neuocomputing, vol. 72, iss. 10-12, 2009, pp. 2659-2669. [Paper] [ML]
   
   
2. “Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally,” K. Huang, Haiqin Yang, I. King, and M.R. Lyu, IEEE Transactions on Neural Networks, vol. 19, iss. 2, 2008, pp. 260-272. paper [ML]
   
   

1. “Online Learning for Multi-task Feature Selection,” Haiqin Yang, Irwin King, and M.R. Lyu, in Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM2010), Toronto, Canada, October 2010. [Paper] [ML]
   
   
2. “Online Learning for Group Lasso,” Haiqin Yang, Zenglin Xu, Irwin King and M.R. Lyu, in Proceedings of the 27th International Conference on Machine Learning (ICML2010), Haifa, Israel, June 2010. [Paper] [ML]
   
   
3. “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, June 2010. [Paper] [ML]
   
   
4. “Multi-task Learning for One-class Classification,” Haiqin Yang, Irwin King, and M.R. Lyu, in Proceedings of the 2010 International Joint Conference on Neural Networks (IJCNN2010), Barcelona, Spain, July 2010. [Paper] [ML]
   
   

Graduated in 2010
URL: http://www.zibinzheng.com
Email: zbzheng@cse.cuhk.edu.hk

“QoS Management of Web Services” Thesis Presentation

• Outstanding Thesis Award, Faculty of Engineering, The Chinese University of Hong Kong
• 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 (DSN 2011) , 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 (ISSRE 2010), 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. 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 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 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. 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 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
    
    
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 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 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
    
    

Graduated in 2009
Researcher, Microsoft Research Redmond
URL: http://www.cse.cuhk.edu.hk/~hma
Email: hma@cse.cuhk.edu.hk

1. [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,” H. Ma, Irwin King and M.R. Lyu, IEEE Transactions on Knowledge and Data Engineering (TKDE), January 2011. Paper [ML]
   
   

1. “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]
   
   
2. “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]
   
   
3. “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]
   
   
4. “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]
   
   
5. “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]
   
   
6. “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]
   
   
7. “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]
   
   
8. “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]
   
   
9. “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]
   
   
10. “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]
    
    

Graduated in 2009
Associate Professor, Fudan University
Email: zyf@fudan.edu.cn

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

1. “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]
   
   
2. “Reliable Reporting of Delay-Sensitive Events in Wireless Sensor-Actuator Networks,” E. C.-H. Ngai, Yangfan 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
   
   
3. “An Energy-Efficient Mechanism for Self-Monitoring Sensor Web,” Yangfan Zhou and M.R. Lyu, in Proceedings of The 2007 IEEE Aerospace Conference, Big Sky, MT, USA, 3-10 March, 2007. Paper
   
   
4. “POWER-SPEED: A Power-Controlled Real-Time Data Transport Protocol for Wireless Sensor-Actuator Networks,” Yangfan 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
   
   
5. “LOFT: A Latency-Oriented Fault Tolerant Transport Protocol for Wireless Sensor-Actuator Networks,” E. C.-H. Ngai, Yangfan Zhou, M.R. Lyu, and J. Liu, IEEE Global Telecommunications Conference (Globecom'07), Washington, DC, USA, November 26-30, 2007. Paper presentation
   
   
6. “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
   
   
7. “An Index-Based Sensor-Grouping Mechanism for Field Coverage Wireless Sensor Networks,” Yangfan Zhou, M.R. Lyu, and J. Liu, In Proc. of The 2008 IEEE International Conference on Communications (ICC'08), Beijing, China, May, 2008. Paper
   
   
8. “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
   
   

Graduated in 2009
Research Scientist, Google

“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
   
   

1. “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. Paper Poster
   
   
2. “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. Paper Presentation
   
   
3. “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. Paper Presentation Poster
   
   
4. “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. Paper Presentation
   
   
5. “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. Paper Presentation
   
   
6. “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.
   
   

Graduated in 2009
BarcLays Capital
URL: Homepage

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

1. “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
   
   
2. “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
   
   
3. “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
   
   

Graduated in 2008
Associate Professor, Zhejiang University, China
URL: http://jkzhu.github.io
Email: jkzhu@zju.edu.cn

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

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

1. “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
   
   
2. “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
   
   
3. “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
   
   

1. “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
   
   
2. “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
   
   
3. “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
   
   
4. “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
   
   
5. “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
   
   
6. “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
   
   
7. “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.
   
   
8. “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
   
   
9. “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
   
   
10. “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
    
    

Graduated in 2008
Professor, University of Electronc Science and Technology of China
Email: zlxu@uestc.edu.cn

“Learning from Unlabeled Data” Thesis Presentation

1. “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]
   
   
2. “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]
   
   
3. “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. Paper Presentation
   
   
4. “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. Paper Presentation
   
   
5. “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.. Paper Presentation
   
   
6. “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
   
   
7. “Efficient convex relaxation for transductive support vector machine”, Zenglin 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. Paper Presentation
   
   
8. “Web page classification with heterogeneous data fusion,” Zenglin 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. Paper Poster
   
   
9. “Maximum margin based semi-supervised spectral kernel learning,” Zenglin Xu, J. Zhu, I. King, and M.R. Lyu, in Proceedings of 20th International Joint Conference on Neural Network (IJCNN), 12-17 August 2007.Paper Presentation
   
   

Graduated in 2008
Lecturer, PolyU HKCC
Email: <ccpat{at}hkcc-polyu.edu.hk>

“Building Reliable Web Services: Methodology, Composition, Modeling and Experiment” thesis Presentation

1. “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

1. “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
   
   
2. “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
   
   
3. “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
   
   
4. “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
   
   
5. 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
   
   

Graduated in 2007
Associate Professor, Uppsala University, Sweden
URL: http://user.it.uu.se/~eding810/
Email: Ledith.ngai@it.uu.se

“Delay-Oriented Reliable Communication and Coordination in Wireless Sensor-Actuator Networks” thesis presentation

1. “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
   
   
2. “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

1. “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
   
   
2. “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
   
   
3. “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
   
   
4. “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
   
   
5. “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
   
   
6. “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
   
   
7. “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
   
   
8. “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
   
   
9. “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
   
   

Graduated in 2007
Lecturer, National University of Ireland, Galway
URL: https://www.cs.rhul.ac.uk/home/haixuan/
Email: haixuan@cs.rhul.ac.uk

“Machine Learning Models on Random Graphs” thesis presentation

1. “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, poster), Tokyo, Japan, May 10-14, 2005, pp. 944-945. Poster Presentation
   
   
2. “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
   
   
3. “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
   
   
4. “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
   
   

Graduated in 2006
Associate Professor, Singapore Management University
URL: http://www.mysmu.edu.sg/faculty/chhoi
Email: <chhoi_AT_smu.edu.sg >

“Statistical Machine Learning for Data Mining and Collaborative Multimedia Retrieval” thesis Presentation

1. “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
   
   
2. “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
   
   
3. “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

1. “A Novel Log-based Relevance Feedback Technique in Content-based Image Retrieval,” S.C.H. Hoi and M.R. Lyu, Proceedings ACM Multimedia 2004, New York October 10-16 2004, pp.24-31. Paper Presentation
   
   
2. “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
   
   
3. “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
   
   
4. “A Unified Machine Learning Framework for Large-Scale Personalized Information Management,” E.Y. Chang, S.C.H. Hoi, X. Wang, W.-Y. Ma, and M.R. Lyu, The 5th IEEE Emerging Information Technology Conference, Taipei, Taiwan, August, 2005.Paper
   
   
5. “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
   
   
6. “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
   
   
7. “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
   
   
8. “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
   
   
9. “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
   
   
10. “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
    
    
11. “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
    
    
12. “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
    
    
13. “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
    
    
14. “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
    
    
15. “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
    
    

Graduated in 2006
Fujitsu Frontech, Canada
URL: http://www.cse.cuhk.edu.hk/~xcai

“Coverage-Based Testing Strategies and Reliability Modeling for Fault-Tolerant Software Systems” thesis presentation

1. “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

1. “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
2. “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.
3. “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
4. “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
   
   

Graduated in 2005
Yonyou, Hong Kong
URL: Homepage
Email: xychen@bnu.edu.cn

“On Fault Tolerance, Performance, and Reliability for Wireless and Sensor Networks” thesis presentation

1. 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
   
   
2. “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
   
   

1. “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
   
   
2. “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
   
   
3. “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
   
   
4. “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
   
   

Graduated in 2004
Associate Researcher, Xi'an Jiaotong Liverpool University
URL: Homepage

“Learning From Data Locally and Globally” thesis presentation

1. Excellent Award for Best Research Output 2006
2. President Award in Fujitsu Labs 2006

1. “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
   
   
2. “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
   
   
3. “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
   
   
4. 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
   
   
5. “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
   
   

1. “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
   
   
2. “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
   
   
3. “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
   
   
4. “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]
   
   
5. “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
   
   
6. “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
   
   
7. “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
   
   
8. “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
   
   
9. “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
   
   
10. 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
    
    
11. “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.. Paper presentation
    
    
12. “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. Paper presentation
    
    
13. “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.Paper presentation
    
    

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

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

1. “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.
   
   
2. “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
   
   
3. “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
   
   
4. “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
   
   

1. “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
   
   
2. “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
   
   
3. “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 2000), ed. by TSE & CHEN, pp69-78, Hong Kong, October 30-31, 2000.
   
   
4. “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
   
   
5. “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
   
   
6. “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
   
   
7. “Comparative Studies on the CT Image Reconstruction Based on the RBF Neural Networks,” H. Ming, P. Guo, M.R. Lyu, in Proceedings of the 11th Joint International Computer Conference (JICC'2005), Chongqing, China, November 10-12, 2005. Paper