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Journal

  • SE = Software Engineering
  • ML = Machine Learning, AI
  • DS = Distributed Systems, Networking, Web services
  • MM = Multimedia
Year SE ML DS MM Total
2023 SPE,TOSEM,TSE(4) ISWA 7
2022 IST,SIGOPS-OSR,TOSEM,TSE TASLP TSC TPAMI 7
2021 COMPSURV,IST,TOSEM(2) NEURNET,NEUROCOMPUTING,TKDE 7
2020 ACCESS,CYBERSECURITY,SOFTWARE(2),TDSC TNNLS TPDS,WWW 8
2019 TACL 1
2018 TDSC(2),TR NPLETT,SNAM,TNNLS TSC 7
2017 TSE TPDS,TSC 3
2016 SECURPRIV,TR TIST TCC,TWEB 5
2015 ChinaCom JBHI,KAIS(2),NEURNET(2),TKDE SCIS,TC,TSC(2) 11
2014 TR KAIS(2),TSMC EURASIP JWCN,IJWGS,TPDS,TSC(2) 9
2013 TOSEM TKDD FCS,JNCA,TPDS(2),TSC(2) 8
2012 KAIS,TKDE,TSMC IJWGS,SCIS,TSC 6
2011 TR TIST,TNN,TOIS IJDSN,TSC TOMM 7
2010 EMSE,STVR TNN ANET,IJWSR TMM 6
2009 NEURCOM,NEURNET,NEUROCOMPUTING,TKDE,TOIS,TSMC MNA,TVT TPAMI 9
2008 TNN,TSMC PR,TMM(2) 5
2007 TR AMC(2),IJPRAI,IJWMIP,JASIST COMPCOMM PR 8
2006 SEN,TR FEBSLETT,IJPRAI,NEUROCOMPUTING(2),PPLETT,TBME,TIMC,TKDE,TSMC(2) MMSYS 13
2005 JSS,SEN,TR(3),TSE TSMC PR,TCSVT(2) 10
2004 INTELLSYST,SQJ JMLR,NEUROCOMPUTING PR,TPAMI 6
2003 TSE TSMC 2
2002 IJSEKE,TR TNN 3
2001 TR(2) TCE 3
1998 IEEPSOFTWARE 1
1996 SOFTWARE 1
1994 COMPUTER,IJRQSE,TR(2) 4
1993 TR 1
1992 SOFTWARE 1
Total 55 56 34 14 159

Journal Papers



—-2023—-

  1. “Assessing Operational Accuracy of CNN-Based Image Classifiers Using an Oracle Surrogate,” Antonio Guerriero, Michael R. Lyu, Roberto Pietrantuono, Stefano Russo, Intelligent Systems with Applications (ISWA), vol. 17, no. 200172, 2023.
    Paper [ML]

  2. “A Transformer-Based Approach for Improving App Review Response Generation,” Weizhe Zhang, Wenchao Gu, Cuiyun Gao, Michael R. Lyu, Software: Practice and Experience (SPE), vol. 53, no. 2, pp. 438-454, 2023.
    Paper [SE]

  3. “Code Structure Guided Transformer for Source Code Summarization,” Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lun Yiu Nie, Xin Xia, Michael R. Lyu, ACM Transactions on Software Engineering and Methodology (TOSEM), vol. 32, no. 1, pp. 1-32, 2023.
    Paper [SE]

  4. “API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning,” Yujia Chen, Cuiyun Gao, Xiaoxue Ren, Yun Peng, Xin Xia, Michael R. Lyu, IEEE Transactions on Software Engineering (TSE), vol. 49, no. 5, pp. 3289-3304, 2023.
    Paper [SE]

  5. “Combatting Front-Running in Smart Contracts: Attack Mining, Benchmark Construction and Vulnerability Detector Evaluation,” Wuqi Zhang, Lili Wei, Shing-Chi Cheung, Yepang Liu, Shuqing Li, Lu Liu, Michael R. Lyu, IEEE Transactions on Software Engineering (TSE), vol. 49, no. 6, pp. 3630-3646, 2023.
    Paper [SE]

  6. “Prompt Tuning in Code Intelligence: An Experimental Evaluation,” Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu, IEEE Transactions on Software Engineering (TSE), vol. 49, no. 11, pp. 4869-4885, 2023.
    Paper [SE]

  7. “Revisiting, Benchmarking and Exploring API Recommendation: How Far are We?,” Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu, IEEE Transactions on Software Engineering (TSE), vol. 49, no. 4, pp. 1876-1897, 2023.
    Paper [SE]



    —-2022—-
  8. “Understanding In-App Advertising Issues Based on Large Scale App Review Analysis,” Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu, Information and Software Technology (IST), vol. 142, no. 106741, 2022.
    Paper [SE]

  9. “An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection,” Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Michael R. Lyu, ACM SIGOPS Operating Systems Review (SIGOPS-OSR), vol. 56, no, 1, pp. 1-7, 2022.
    Paper [SE]

  10. “Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation,” Wenxiang Jiao, Xing Wang, Shilin He, Zhaopeng Tu, Irwin King, Michael R. Lyu, IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), vol. 30, pp. 931-943, 2022.
    Paper [ML]

  11. “Memory-Safety Challenge Considered Solved? An In-Depth Study with All Rust CVEs,” Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou, Michael R. Lyu, ACM Transactions on Software Engineering and Methodology (TOSEM), vol. 31, no. 1, pp. 1-25, 2022.
    Paper [SE]

  12. “Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation,” Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 9, pp. 5026-5041, 2022.
    Paper [MM]

  13. “Web Service QoS Prediction via Collaborative Filtering: A Survey,” Zibin Zheng, Xiaoli Li, Mingdong Tang, Fenfang Xie, Michael R. Lyu, IEEE Transactions on Services Computing (TSC), vol. 15, no. 4, pp. 2455-2472, 2022.
    Paper [DS]

  14. “Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing,” Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu, IEEE Transactions on Software Engineering (TSE), vol. 48, no. 8, pp. 3025-3043, 2022.
    Paper [SE]



    —-2021—-
  15. “A Survey on Automated Log Analysis for Reliability Engineering,” Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu, ACM Computing Surveys (COMPSURV), vol. 54, no. 6, pp. 1-37, 2021.
    Paper [SE]

  16. “Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience,” Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu, Information and Software Technology (IST), vol. 138, no. 106471, 2021.
    Paper [SE]

  17. “CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning,” Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu, Neural Networks (NEURNET), vol. 141, pp. 385-394, 2021.
    Paper [ML]

  18. “On the Diversity of Multi-Head Attention,” Jian Li, Xing Wang, Zhaopeng Tu, Michael R. Lyu, Neurocomputing (NEUROCOMPUTING), vol. 454, pp. 14-24, 2021.
    Paper [ML]

  19. “Making Online Sketching Hashing Even Faster,” Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 33, no. 3, pp. 1089-1101, 2021.
    Paper [ML]

  20. “Automating App Review Response Generation Based on Contextual Knowledge,” Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, Michael R. Lyu, ACM Transactions on Software Engineering and Methodology (TOSEM), vol. 31, no. 1, pp. 1-36, 2021.
    Paper [SE]

  21. “Why an Android App Is Classified as Malware: Towards Malware Classification Interpretation,” Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael R. Lyu, ACM Transactions on Software Engineering and Methodology (TOSEM), vol. 30, no. 2, pp. 21:2-21:29, 2021.
    Paper [SE]



    —-2020—-
  22. “CDS: A Cross-Version Software Defect Prediction Model with Data Selection,” Jie Zhang, Jiajing Wu, Chun Lung Philip Chen, Zibin Zheng, Michael R. Lyu, IEEE Access (ACCESS), vol. 8, pp. 110059-110072, 2020.
    Paper [SE]

  23. “Layered Obfuscation: A Taxonomy of Software Obfuscation Techniques for Layered Security,” Hui Xu, Yangfan Zhou, Jiang Ming, Michael R. Lyu, Cybersecurity (CYBERSECURITY), vol. 3, no. 9, pp. 1-18, 2020.
    Paper [SE]

  24. “Expert Perspectives on AI,” Anita D. Carleton, Erin Harper, Michael R. Lyu, Sigrid Eldh, Tao Xie, Tim Menzies, IEEE Software (SOFTWARE), vol. 37, no. 4, pp. 87-94, 2020.
    Paper [SE]

  25. “The AI Effect: Working at the Intersection of AI and SE,” Anita D. Carleton, Erin Harper, Tim Menzies, Tao Xie, Sigrid Eldh, Michael R. Lyu, IEEE Software (SOFTWARE), vol. 37, no. 4, pp. 26-35, 2020.
    Paper [SE]

  26. “Benchmarking the Capability of Symbolic Execution Tools with Logic Bombs,” Hui Xu, Zirui Zhao, Yangfan Zhou, Michael R. Lyu, IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 17, no. 6, pp. 1243-1256, 2020.
    Paper [SE]

  27. “Effective Data-Aware Covariance Estimator from Compressed Data,” Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 31, no. 7, pp. 2441-2454, 2020.
    Paper [ML]

  28. “Random Priority-Based Thrashing Control for Distributed Shared Memory,” Yi-Wei Ci, Michael R. Lyu, Zhan Zhang, De-Cheng Zuo, Xiao-Zong Yang, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 31, no. 3, pp. 663-674, 2020.
    Paper [DS]

  29. “Incorporating Geographical Location for Team Formation in Social Coding Sites,” Liang Chen, Yongjian Ye, Angyu Zheng, Fenfang Xie, Zibin Zheng, Michael R. Lyu, World Wide Web: Internet and Web Information Systems (WWW), vol. 23, no. 1, pp. 153-174, 2020.
    Paper [DS]



    —-2019—-
  30. “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, Michael R. Lyu, Irwin King, Transactions of the Association for Computational Linguistics (TACL), vol. 7, pp. 267-281, 2019.
    Paper [ML]



    —-2018—-
  31. “Aggregated Temporal Tensor Factorization Model for Point-of-Interest Recommendation,” Shenglin Zhao, Irwin King, Michael R. Lyu, Neural Processing Letters (NPLETT), vol. 47, no. 3, pp. 975-992, 2018.
    Paper [ML]

  32. “Overlapping Community Detection with Preference and Locality Information: A Non-Negative Matrix Factorization Approach,” Hongyi Zhang, Xingyu Niu, Irwin King, Michael R. Lyu, Social Network Analysis and Mining (SNAM), vol. 8, no. 1, pp. 43:1-43:14, 2018.
    Paper [ML]

  33. “ARF-Predictor: Effective Prediction of Aging-Related Failure Using Entropy,” Pengfei Chen, Yong Qi, Xinyi Li, Di Hou, Michael R. Lyu, IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 15, no. 4, pp. 675-693, 2018.
    Paper [SE]

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

  35. “Online Nonlinear AUC Maximization for Imbalanced Data Sets,” Junjie Hu, Haiqin Yang, Michael R. Lyu, Irwin King, Anthony Man-Cho So, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, no. 4, pp. 882-895, 2018.
    Paper [ML]

  36. “MalPat: Mining Patterns of Malicious and Benign Android Apps via Permission-Related APIs,” Guanhong Tao, Zibin Zheng, Ziying Guo, Michael R. Lyu, IEEE Transactions on Reliability (TR), vol. 67, no. 1, pp. 355-369, 2018.
    Paper [SE]

  37. “A Data Set for User Request Trace-Oriented Monitoring and Its Applications,” Jingwen Zhou, Zhenbang Chen, Ji Wang, Zibin Zheng, Michael R. Lyu, IEEE Transactions on Services Computing (TSC), vol. 11, no. 4, pp. 699-712, 2018.
    Paper [DS]



    —-2017—-
  38. “Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix Factorization,” Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 28, no. 10, pp. 2911-2924, 2017.
    Paper [DS]

  39. “Cloud Service Reliability Enhancement via Virtual Machine Placement Optimization,” Ao Zhou, Shangguang Wang, Bo Cheng, Zibin Zheng, Fangchun Yang, Rong N. Chang, Michael R. Lyu, Rajkumar Buyya, IEEE Transactions on Services Computing (TSC), vol. 10, no. 6, pp. 902-913, 2017.
    Paper [DS]

  40. “Online Reliability Prediction via Motifs-Based Dynamic Bayesian Networks for Service-Oriented Systems,” Hongbing Wang, Lei Wang, Qi Yu, Zibin Zheng, Athman Bouguettaya, Michael R. Lyu, IEEE Transactions on Software Engineering (TSE), vol. 43, no. 6, pp. 556-579, 2017.
    Paper [SE]



    —-2016—-
  41. “Assessing the Security Properties of Software Obfuscation,” Hui Xu, Michael R. Lyu, IEEE Security and Privacy (SECURPRIV), vol. 14, no. 5, pp. 80-83, 2016.
    Paper [SE]

  42. “On Cloud Service Reliability Enhancement with Optimal Resource Usage,” Ao Zhou, Shangguang Wang, Zibin Zheng, Ching-Hsien Hsu, Michael R. Lyu, Fangchun Yang, IEEE Transactions on Cloud Computing (TCC), vol. 4, no. 4, pp. 452-466, 2016.
    Paper [DS]

  43. “A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks,” Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu, ACM Transactions on Intelligent Systems and Technology (TIST), vol. 8, no. 1, pp. 10:1-10:21, 2016.
    Paper [ML]

  44. “Web Service Personalized Quality of Service Prediction via Reputation-Based Matrix Factorization,” Jianlong Xu, Zibin Zheng, Michael R. Lyu, IEEE Transactions on Reliability (TR), vol. 65, no. 1, pp. 28-37, 2016.
    Paper [SE]

  45. “A Spatial-Temporal QoS Prediction Approach for Time-Aware Web Service Recommendation,” Xinyu Wang, Jianke Zhu, Zibin Zheng, Wenjie Song, Yuanhong Shen, Michael R. Lyu, ACM Transactions on the Web (TWEB), vol. 10, no. 1, pp. 7:1-7:25, 2016.
    Paper [DS]



    —-2015—-
  46. “Reliability Prediction for Internetware Applications: A Research Framework and Its Practical Use,” Zibin Zheng, Jingke Meng, Guanhong Tao, Michael R. Lyu, China Communications (ChinaCom), vol. 12, no. 12, pp. 13-20, 2015.
    Paper [SE]

  47. “Extracting and Selecting Distinctive EEG Features for Efficient Epileptic Seizure Prediction,” Ning Wang, Michael R. Lyu, IEEE Journal of Biomedical and Health Informatics (JBHI), vol. 19, no. 5, pp. 1648-1659, 2015.
    Paper [ML]

  48. “A Topic-Biased User Reputation Model in Rating Systems,” Baichuan Li, Rong-Hua Li, Irwin King, Michael R. Lyu, Jeffrey Xu Yu, Knowledge and Information Systems (KAIS), vol. 44, no. 3, pp. 581-607, 2015.
    Paper [ML]

  49. “Learning to Suggest Questions in Social Media,” Tom Chao Zhou, Michael R. Lyu, Irwin King, Jie Lou, Knowledge and Information Systems (KAIS), vol. 43, no. 2, pp. 389-416, 2015.
    Paper [ML]

  50. “Budget Constrained Non-Monotonic Feature Selection,” Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King, Neural Networks (NEURNET), vol. 71, pp. 214-224, 2015.
    Paper [ML]

  51. “Maximum Margin Semi-Supervised Learning with Irrelevant Data,” Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu, Neural Networks (NEURNET), vol. 70, pp. 90-102, 2015.
    Paper [ML]

  52. “Service Fault Tolerance for Highly Reliable Service-Oriented Systems: An Overview,” Zibin Zheng, Michael R. Lyu, Huaimin Wang, Science China Information Sciences (SCIS), vol. 58, no. 5, pp. 1-12, 2015.
    Paper [DS]

  53. “Selecting an Optimal Fault Tolerance Strategy for Reliable Service-Oriented Systems with Local and Global Constraints,” Zibin Zheng, Michael R. Lyu, IEEE Transactions on Computers (TC), vol. 64, no. 1, pp. 219-232, 2015.
    Paper [DS]

  54. “Boosting Response Aware Model-Based Collaborative Filtering,” Haiqin Yang, Guang Ling, Yuxin Su, Michael R. Lyu, Irwin King, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 27, no. 8, pp. 2064-2077, 2015.
    Paper [ML]

  55. “Reputation Measurement and Malicious Feedback Rating Prevention in Web Service Recommendation Systems,” Shangguang Wang, Zibin Zheng, Zhengping Wu, Michael R. Lyu, Fangchun Yang, IEEE Transactions on Services Computing (TSC), vol. 8, no. 5, pp. 755-767, 2015.
    Paper [DS]

  56. “Towards Operational Cost Minimization in Hybrid Clouds for Dynamic Resource Provisioning with Delay-Aware Optimization,” Song Li, Yangfan Zhou, Lei Jiao, Xinya Yan, Xin Wang, Michael R. Lyu, IEEE Transactions on Services Computing (TSC), vol. 8, no. 3, pp. 398-409, 2015.
    Paper [DS]



    —-2014—-
  57. “CGA-Based Deadlock Solving Strategies towards Vehicle Sensing Systems,” Jianlong Xu, Zibin Zheng, Michael R. Lyu, EURASIP Journal on Wireless Communications and Networking (EURASIP JWCN), vol. 1, no. 214, pp. 1-11, 2014.
    Paper [DS]

  58. “A Topology-Aware Method for Scientific Application Deployment on Cloud,” Pei Fan, Zhenbang Chen, Ji Wang, Zibin Zheng, Michael R. Lyu, International Journal of Web and Grid Services (IJWGS), vol. 10, no. 4, pp. 338-370, 2014.
    Paper [DS]

  59. “Clustering Web Services to Facilitate Service Discovery,” Jian Wu, Liang Chen, Zibin Zheng, Michael R. Lyu, Zhaohui Wu, Knowledge and Information Systems (KAIS), vol. 38, no. 1, pp. 207-229, 2014.
    Paper [ML]

  60. “Modeling and Exploiting Tag Relevance for Web Service Mining,” Liang Chen, Jian Wu, Zibin Zheng, Michael R. Lyu, Zhaohui Wu, Knowledge and Information Systems (KAIS), vol. 39, no. 1, pp. 153-173, 2014.
    Paper [ML]

  61. “Web Service Recommendation via Exploiting Location and QoS Information,” Xi Chen, Zibin Zheng, Qi Yu, Michael R. Lyu, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 25, no. 7, pp. 1913-1924, 2014.
    Paper [DS]

  62. “An Automatic Framework for Detecting and Characterizing Performance Degradation of Software Systems,” Pengfei Zheng, Yong Qi, Yangfan Zhou, Pengfei Chen, Jianfeng Zhan, Michael R. Lyu, IEEE Transactions on Reliability (TR), vol. 63, no. 4, pp. 927-943, 2014.
    Paper [SE]

  63. “Investigating QoS of Real-World Web Services,” Zibin Zheng, Yilei Zhang, Michael R. Lyu, IEEE Transactions on Services Computing (TSC), vol. 7, no. 1, pp. 32-39, 2014.
    Paper [DS]

  64. “Reliability-Based Design Optimization for Cloud Migration,” Weiwei Qiu, Zibin Zheng, Xinyu Wang, Xiaohu Yang, Michael R. Lyu, IEEE Transactions on Services Computing (TSC), vol. 7, no. 2, pp. 223-236, 2014.
    Paper [DS]

  65. “An Online Performance Prediction Framework for Service-Oriented Systems,” Yilei Zhang, Zibin Zheng, Michael R. Lyu, IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), vol. 44, no. 9, pp. 1169-1181, 2014.
    Paper [ML]



    —-2013—-
  66. “An Online Service-Oriented Performance Profiling Tool for Cloud Computing Systems,” Haibo Mi, Huaimin Wang, Yangfan Zhou, Michael R. Lyu, Hua Cai, Gang Yin, Frontiers of Computer Science (FCS), vol. 7, no. 3, pp. 431-445, 2013.
    Paper [DS]

  67. “MDiag: Mobility-Assisted Diagnosis for Wireless Sensor Networks,” Junjie Xiong, Yangfan Zhou, Michael R. Lyu, Evan F. Y. Young, Journal of Network and Computer Applications (JNCA), vol. 36, no. 1, pp. 167-177, 2013.
    Paper [DS]

  68. “Efficient Online Learning for Multitask Feature Selection,” Haiqin Yang, Michael R. Lyu, Irwin King, ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 7, no. 2, pp. 6:1-6:27, 2013.
    Paper [ML]

  69. “Personalized Reliability Prediction of Web Services,” Zibin Zheng, Michael R. Lyu, ACM Transactions on Software Engineering and Methodology (TOSEM), vol. 22, no. 2, pp. 12:1-12:25, 2013.
    Paper [SE]

  70. “QoS Ranking Prediction for Cloud Services,” Zibin Zheng, Xinmiao Wu, Yilei Zhang, Michael R. Lyu, Jianmin Wang, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 24, no. 6, pp. 1213-1222, 2013.
    Paper [DS]

  71. “Toward Fine-Grained, Unsupervised, Scalable Performance Diagnosis for Production Cloud Computing Systems,” Haibo Mi, Huaimin Wang, Yangfan Zhou, Michael R. Lyu, Hua Cai, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 24, no. 6, pp. 1245-1255, 2013.
    Paper [DS]

  72. “Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization,” Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King, IEEE Transactions on Services Computing (TSC), vol. 6, no. 3, pp. 289-299, 2013.
    Paper [DS]

  73. “Personalized Web Service Recommendation via Normal Recovery Collaborative Filtering,” Huifeng Sun, Zibin Zheng, Junliang Chen, Michael R. Lyu, IEEE Transactions on Services Computing (TSC), vol. 6, no. 4, pp. 573-579, 2013.
    Paper [DS]



    —-2012—-
  74. “A Spectral Clustering-Based Optimal Deployment Method for Scientific Application in Cloud Computing,” Pei Fan, Ji Wang, Zhenbang Chen, Zibin Zheng, Michael R. Lyu, International Journal of Web and Grid Services (IJWGS), vol. 8, no. 1, pp. 31-55, 2012.
    Paper [DS]

  75. “MatchSim: A Novel Similarity Measure Based on Maximum Neighborhood Matching,” Zhenjiang Lin, Michael R. Lyu, Irwin King, Knowledge and Information Systems (KAIS), vol. 32, no. 1, pp. 141-166, 2012.
    Paper [ML]

  76. “Localizing Root Causes of Performance Anomalies in Cloud Computing Systems by Analyzing Request Trace Logs,” Haibo Mi, Huaimin Wang, Yangfan Zhou, Michael R. Lyu, Hua Cai, Science China Information Sciences (SCIS), vol. 55, no. 12, pp. 2757-2773, 2012.
    Paper [DS]

  77. “Mining Web Graphs for Recommendations,” Hao Ma, Irwin King, Michael R. Lyu, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 24, no. 6, pp. 1051-1064, 2012.
    Paper [ML]

  78. “Component Ranking for Fault-Tolerant Cloud Applications,” Zibin Zheng, Tom Chao Zhou, Michael R. Lyu, Irwin King, IEEE Transactions on Services Computing (TSC), vol. 5, no. 4, pp. 540-550, 2012.
    Paper [DS]

  79. “Enhanced Models for Expertise Retrieval Using Community-Aware Strategies,” Hongbo Deng, Irwin King, Michael R. Lyu, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) (TSMC), vol. 42, no. 1, pp. 93-106, 2012.
    Paper [ML]



    —-2011—-
  80. “A Reliable and Efficient MAC Protocol for Underwater Acoustic Sensor Networks,” Junjie Xiong, Michael R. Lyu, Kam-Wing Ng, International Journal of Distributed Sensor Networks (IJDSN), vol. 7, no. 1, pp. 1-12, 2011.
    Paper [DS]

  81. “Learning to Recommend with Explicit and Implicit Social Relations,” Hao Ma, Irwin King, Michael R. Lyu, ACM Transactions on Intelligent Systems and Technology (TIST), vol. 2, no. 3, pp. 29:1-29:19, 2011.
    Paper [ML]

  82. “Efficient Sparse Generalized Multiple Kernel Learning,” Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu, IEEE Transactions on Neural Networks (TNN), vol. 22, no. 3, pp. 433-446, 2011.
    Paper [ML]

  83. “Improving Recommender Systems by Incorporating Social Contextual Information,” Hao Ma, Tom Chao Zhou, Michael R. Lyu, Irwin King, ACM Transactions on Information Systems (TOIS), vol. 29, no. 2, pp. 9:1-9:23, 2011.
    Paper [ML]

  84. “Near-Duplicate Keyframe Retrieval by Semi-Supervised Learning and Nonrigid Image Matching,” Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu, Shuicheng Yan, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 7, no. 1, pp. 4:1-4:24, 2011.
    Paper [MM]

  85. “Estimation and Analysis of Some Generalized Multiple Change-Point Software Reliability Models,” Chin-Yu Huang, Michael R. Lyu, IEEE Transactions on Reliability (TR), vol. 60, no. 2, pp. 498-514, 2011.
    Paper [SE]

  86. “QoS-Aware Web Service Recommendation by Collaborative Filtering,” Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King, IEEE Transactions on Services Computing (TSC), vol. 4, no. 2, pp. 140-152, 2011.
    Paper [DS]



    —-2010—-
  87. “A Delay-Aware Reliable Event Reporting Framework for Wireless Sensor-Actuator Networks,” Edith C. H. Ngai, Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu, Ad Hoc Networks (ANET), vol. 8, no. 7, pp. 694-707, 2010.
    Paper [DS]

  88. “An Adaptive QoS-Aware Fault Tolerance Strategy for Web Services,” Zibin Zheng, Michael R. Lyu, Empirical Software Engineering (EMSE), vol. 15, no. 4, pp. 323-345, 2010.
    Paper [SE]

  89. “Optimal Fault Tolerance Strategy Selection for Web Services,” Zibin Zheng, Michael R. Lyu, International Journal of Web Services Research (IJWSR), vol. 7, no. 4, pp. 21-40, 2010.
    Paper [DS]

  90. “Automatic String Test Data Generation for Detecting Domain Errors,” Ruilian Zhao, Michael R. Lyu, Yinghua Min, Software Testing, Verification and Reliability (STVR), vol. 20, no. 3, pp. 209-236, 2010.
    Paper [SE]

  91. “Bridging the Semantic Gap Between Image Contents and Tags,” Hao Ma, Jianke Zhu, Michael R. Lyu, Irwin King, IEEE Transactions on Multimedia (TMM), vol. 12, no. 5, pp. 462-473, 2010.
    Paper [MM]

  92. “Discriminative Semi-Supervised Feature Selection via Manifold Regularization,” Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin, IEEE Transactions on Neural Networks (TNN), vol. 21, no. 7, pp. 1033-1047, 2010.
    Paper [ML]



    —-2009—-
  93. “On Sensor Network Reconfiguration for Downtime-Free System Migration,” Yangfan Zhou, Michael R. Lyu, Jiangchuan Liu, Mobile Networks and Applications (MNA), vol. 14, no. 2, pp. 241-252, 2009.
    Paper [DS]

  94. “Arbitrary Norm Support Vector Machines,” Kaizhu Huang, Danian Zheng, Irwin King, Michael R. Lyu, Neural Computation (NEURCOM), vol. 21, no. 2, pp. 560-582, 2009.
    Paper [ML]

  95. “A Novel Kernel-Based Maximum a Posteriori Classification Method,” Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu, Neural Networks (NEURNET), vol. 22, no. 7, pp. 977-987, 2009.
    Paper [ML]

  96. “Localized Support Vector Regression for Time Series Prediction,” Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu, Neurocomputing (NEUROCOMPUTING), vol. 72, no. 10-12, pp. 2659-2669, 2009.
    Paper [ML]

  97. “Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval,” Steven C. H. Hoi, Rong Jin, Michael R. Lyu, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 21, no. 9, pp. 1233-1248, 2009.
    Paper [ML]

  98. “Semisupervised SVM Batch Mode Active Learning with Applications to Image Retrieval,” Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu, ACM Transactions on Information Systems (TOIS), vol. 27, no. 3, pp. 16:1-16:29, 2009.
    Paper [ML]

  99. “A Fast 2D Shape Recovery Approach by Fusing Features and Appearance,” Jianke Zhu, Michael R. Lyu, Thomas S. Huang, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 31, no. 7, pp. 1210-1224, 2009.
    Paper [MM]

  100. “A Volume-Based Heat-Diffusion Classifier,” Haixuan Yang, Michael R. Lyu, Irwin King, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) (TSMC), vol. 39, no. 2, pp. 417-430, 2009.
    Paper [ML]

  101. “An Adaptive Delay-Minimized Route Design for Wireless Sensor-Actuator Networks,” Edith C. H. Ngai, Jiangchuan Liu, Michael R. Lyu, IEEE Transactions on Vehicular Technology (TVT), vol. 58, no. 9, pp. 5083-5094, 2009.
    Paper [DS]



    —-2008—-
  102. “A Study of Regularized Gaussian Classifier in High-Dimension Small Sample Set Case Based on MDL Principle with Application to Spectrum Recognition,” Ping Guo, Yunde Jia, Michael R. Lyu, Pattern Recognition (PR), vol. 41, no. 9, pp. 2842-2854, 2008.
    Paper [MM]

  103. “A Multimodal and Multilevel Ranking Scheme for Large-Scale Video Retrieval,” Steven C. H. Hoi, Michael R. Lyu, IEEE Transactions on Multimedia (TMM), vol. 10, no. 4, pp. 607-619, 2008.
    Paper [MM]

  104. “Face Annotation Using Transductive Kernel Fisher Discriminant,” Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu, IEEE Transactions on Multimedia (TMM), vol. 10, no. 1, pp. 86-96, 2008.
    Paper [MM]

  105. “Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally,” Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, IEEE Transactions on Neural Networks (TNN), vol. 19, no. 2, pp. 260-272, 2008.
    Paper [ML]

  106. “Robust Regularized Kernel Regression,” Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) (TSMC), vol. 38, no. 6, pp. 1639-1644, 2008.
    Paper [ML]



    —-2007—-
  107. “A Hierarchical Mixture Model for Software Reliability Prediction,” Shaoming Li, Qian Yin, Ping Guo, Michael R. Lyu, Applied Mathematics and Computation (AMC), vol. 185, no. 2, pp. 1120-1130, 2007.
    Paper [ML]

  108. “A Hybrid Particle Swarm Optimization-Back-Propagation Algorithm for Feedforward Neural Network Training,” Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R. Lyu, Applied Mathematics and Computation (AMC), vol. 185, no. 2, pp. 1026-1037, 2007.
    Paper [ML]

  109. “An Efficient Intruder Detection Algorithm Against Sinkhole Attacks in Wireless Sensor Networks,” Edith C. H. Ngai, Jiangchuan Liu, Michael R. Lyu, Computer Communications (COMPCOMM), vol. 30, no. 11-12, pp. 2353-2364, 2007.
    Paper [DS]

  110. “Feature Selection Based on Minimum Error Minimax Probability Machine,” Zenglin Xu, Irwin King, Michael R. Lyu, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), vol. 21, no. 8, pp. 1279-1292, 2007.
    Paper [ML]

  111. “Blind Image Restoration by Combining Wavelet Transform and RBF Neural Network,” Ping Guo, Hongzhai Li, Michael R. Lyu, International Journal of Wavelets, Multiresolution and Information Processing (IJWMIP), vol. 5, no. 1, pp. 15-26, 2007.
    Paper [ML]

  112. “The Generalized Dependency Degree Between Attributes,” Haixuan Yang, Irwin King, Michael R. Lyu, Journal of the Association for Information Science and Technology (JASIST), vol. 58, no. 14, pp. 2280-2294, 2007.
    Paper [ML]

  113. “Extraction and Segmentation of Tables from Chinese Ink Documents Based on a Matrix Model,” Xi-Wen Zhang, Michael R. Lyu, Guozhong Dai, Pattern Recognition (PR), vol. 40, no. 7, pp. 1855-1867, 2007.
    Paper [MM]

  114. “An Assessment of Testing-Effort Dependent Software Reliability Growth Models,” Chin-Yu Huang, Sy-Yen Kuo, Michael R. Lyu, IEEE Transactions on Reliability (TR), vol. 56, no. 2, pp. 198-211, 2007.
    Paper [SE]



    —-2006—-
  115. “Predicting Protein Interaction Sites from Residue Spatial Sequence Profile and Evolution Rate,” Bing Wang, Peng Chen, De-Shuang Huang, Jing-jing Li, Tat-Ming Lok, Michael R. Lyu, Federation of European Biochemical Societies Letters (FEBSLETT), vol. 580, no. 2, pp. 380-384, 2006.
    Paper [ML]

  116. “A Modified Learning Algorithm Incorporating Additional Functional Constraints into Neural Networks,” Fei Han, Xu-Qin Li, Michael R. Lyu, Tat-Ming Lok, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), vol. 20, no. 2, pp. 129-142, 2006.
    Paper [ML]

  117. “Collaborative Image Retrieval via Regularized Metric Learning,” Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu, Multimedia Systems (MMSYS), vol. 12, no. 1, pp. 34-44, 2006.
    Paper [MM]

  118. “A Novel Adaptive Sequential Niche Technique for Multimodal Function Optimization,” Jun Zhang, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu, Neurocomputing (NEUROCOMPUTING), vol. 69, no. 16-18, pp. 2396-2401, 2006.
    Paper [ML]

  119. “Nonnegative Independent Component Analysis Based on Minimizing Mutual Information Technique,” Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Michael R. Lyu, Tat-Ming Lok, Neurocomputing (NEUROCOMPUTING), vol. 69, no. 7-9, pp. 878-883, 2006.
    Paper [ML]

  120. “Network Analysis of the Protein Chain Tertiary Structures of Heterocomplexes,” Jing-Jing Li, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu, Yi-Xue Li, Yun-Ping Zhu, Protein and Peptide Letters (PPLETT), vol. 13, no. 4, pp. 391-396, 2006.
    Paper [ML]

  121. “How Should Software Reliability Engineering (SRE) Be Taught?,” Mario Garzia, John P. Hudepohl, Will Snipes, Michael R. Lyu, John D. Musa, Carol S. Smidts, Laurie A. Williams, ACM SIGSOFT Software Engineering Notes (SEN), vol. 31, no. 4, pp. 1-5, 2006.
    Paper [SE]

  122. “Maximizing Sensitivity in Medical Diagnosis Using Biased Minimax Probability Machine,” Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, IEEE Transactions on Biomedical Engineering (TBME), vol. 53, no. 5, pp. 821-831, 2006.
    Paper [ML]

  123. “A Novel Shrinkage Technique Based on the Normal Inverse Gaussian Density Model,” Li Shang, Kang Li, Tat-Ming Lok, Michael R. Lyu, Transactions of the Institute of Measurement and Control (TIMC), vol. 28, no. 1, pp. 109-119, 2006.
    Paper [ML]

  124. “A Unified Log-Based Relevance Feedback Scheme for Image Retrieval,” Steven C. H. Hoi, Michael R. Lyu, Rong Jin, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 18, no. 4, pp. 509-524, 2006.
    Paper [ML]

  125. “Incorporating Fault Debugging Activities into Software Reliability Models: A Simulation Approach,” Swapna S. Gokhale, Michael R. Lyu, Kishor S. Trivedi, IEEE Transactions on Reliability (TR), vol. 55, no. 2, pp. 281-292, 2006.
    Paper [SE]

  126. “Extraction of Line Segments and Circular Arcs from Freehand Strokes Based on Segmental Homogeneity Features,” Xi-Wen Zhang, Jiqiang Song, Guozhong Dai, Michael R. Lyu, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) (TSMC), vol. 36, no. 2, pp. 300-311, 2006.
    Paper [ML]

  127. “Imbalanced Learning with a Biased Minimax Probability Machine,” Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) (TSMC), vol. 36, no. 4, pp. 913-923, 2006.
    Paper [ML]



    —-2005—-
  128. “Reliability Assessment and Sensitivity Analysis of Software Reliability Growth Modeling Based on Software Module Structure,” Jung-Hua Lo, Chin-Yu Huang, Ing-Yi Chen, Sy-Yen Kuo, Michael R. Lyu, Journal of Systems and Software (JSS), vol. 76, no. 1, pp. 3-13, 2005.
    Paper [SE]

  129. “A Hough Transform Based Line Recognition Method Utilizing Both Parameter Space and Image Space,” Jiqiang Song, Michael R. Lyu, Pattern Recognition (PR), vol. 38, no. 4, pp. 539-552, 2005.
    Paper [MM]

  130. “The Effect of Code Coverage on Fault Detection under Different Testing Profiles,” Xia Cai, Michael R. Lyu, ACM SIGSOFT Software Engineering Notes (SEN), vol. 30, no. 4, pp. 1-7, 2005.
    Paper [SE]

  131. “A Comprehensive Method for Multilingual Video Text Detection, Localization, and Extraction,” Michael R. Lyu, Jiqiang Song, Min Cai, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 15, no. 2, pp. 243-255, 2005.
    Paper [MM]

  132. “A Novel Scheme for Hybrid Digital Video Watermarking: Approach, Evaluation and Experimentation,” Pat P. W. Chan, Michael R. Lyu, Roland T. Chin, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 15, no. 12, pp. 1638-1649, 2005.
    Paper [MM]

  133. “Optimal Release Time for Software Systems Considering Cost, Testing-Effort, and Test Efficiency,” Chin-Yu Huang, Michael R. Lyu, IEEE Transactions on Reliability (TR), vol. 54, no. 4, pp. 583-591, 2005.
    Paper [SE]

  134. “Optimal Testing Resource Allocation, and Sensitivity Analysis in Software Development,” Chin-Yu Huang, Michael R. Lyu, IEEE Transactions on Reliability (TR), vol. 54, no. 4, pp. 592-603, 2005.
    Paper [SE]

  135. “Reliability Analysis for Various Communication Schemes in Wireless CORBA,” Xinyu Chen, Michael R. Lyu, IEEE Transactions on Reliability (TR), vol. 54, no. 2, pp. 232-242, 2005.
    Paper [SE]

  136. “A Simulation Approach to Structure-Based Software Reliability Analysis,” Swapna S. Gokhale, Michael R. Lyu, IEEE Transactions on Software Engineering (TSE), vol. 31, no. 8, pp. 643-656, 2005.
    Paper [SE]

  137. “Recognition of Merged Characters Based on Forepart Prediction, Necessity-Sufficiency Matching, and Character-Adaptive Masking,” Jiqiang Song, Zuo Li, Michael R. Lyu, Shijie Cai, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) (TSMC), vol. 35, no. 1, pp. 2-11, 2005.
    Paper [ML]



    —-2004—-
  138. “Design and Evaluation of a Fault-Tolerant Mobile-Agent System,” Michael R. Lyu, Xinyu Chen, Mole T. Y. Wong, IEEE Intelligent Systems (INTELLSYST), vol. 19, no. 5, pp. 32-38, 2004.
    Paper [SE]

  139. “The Minimum Error Minimax Probability Machine,” Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan, Journal of Machine Learning Research (JMLR), vol. 5, pp. 1253-1286, 2004.
    Paper [ML]

  140. “A Pseudoinverse Learning Algorithm for Feedforward Neural Networks with Stacked Generalization Applications to Software Reliability Growth Data,” Ping Guo, Michael R. Lyu, Neurocomputing (NEUROCOMPUTING), vol. 56, pp. 101-121, 2004.
    Paper [ML]

  141. “Extraction of Karyocytes and Their Components from Microscopic Bone Marrow Images Based on Regional Color Features,” Xi-Wen Zhang, Jiqiang Song, Michael R. Lyu, Shijie Cai, Pattern Recognition (PR), vol. 37, no. 2, pp. 351-361, 2004.
    Paper [MM]

  142. “Analysis of Software Fault Removal Policies Using a Non-Homogeneous Continuous Time Markov Chain,” Swapna S. Gokhale, Michael R. Lyu, Kishor S. Trivedi, Software Quality Journal (SQJ), vol. 12, no. 3, pp. 211-230, 2004.
    Paper [SE]

  143. “Effective Multiresolution Arc Segmentation: Algorithms and Performance Evaluation,” Jiqiang Song, Michael R. Lyu, Shijie Cai, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 26, no. 11, pp. 1491-1506, 2004.
    Paper [MM]



    —-2003—-
  144. “A Unified Scheme of Some Nonhomogenous Poisson Process Models for Software Reliability Estimation,” Chin-Yu Huang, Michael R. Lyu, Sy-Yen Kuo, IEEE Transactions on Software Engineering (TSE), vol. 29, no. 3, pp. 261-269, 2003.
    Paper [SE]

  145. “Regularization Parameter Estimation for Feedforward Neural Networks,” Ping Guo, Michael R. Lyu, C. L. Philip Chen, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) (TSMC), vol. 33, no. 1, pp. 35-44, 2003.
    Paper [ML]



    —-2002—-
  146. “Component-Based Embedded Software Engineering: Development Framework, Quality Assurance and a Generic Assessment Environment,” Xia Cai, Michael R. Lyu, Kam-Fai Wong, International Journal of Software Engineering and Knowledge Engineering (IJSEKE), vol. 12, no. 2, pp. 107-133, 2002.
    Paper [SE]

  147. “Cluster Number Selection for a Small Set of Samples Using the Bayesian Ying-Yang model,” Ping Guo, C. L. Philip Chen, Michael R. Lyu, IEEE Transactions on Neural Networks (TNN), vol. 13, no. 3, pp. 757-763, 2002.
    Paper [ML]

  148. “Optimal Allocation of Test Resources for Software Reliability Growth Modeling in Software Development,” Michael R. Lyu, Sampath Rangarajan, Aad P. A. van Moorsel, IEEE Transactions on Reliability (TR), vol. 51, no. 2, pp. 183-192, 2002.
    Paper [SE]



    —-2001—-
  149. “Analysis of Privacy and Non-Repudiation on Pay-TV Systems,” Ronggong Song, Michael R. Lyu, IEEE Transactions on Consumer Electronics (TCE), vol. 47, no. 4, pp. 729-733, 2001.
    Paper [DS]

  150. “Effect of Code Coverage on Software Reliability Measurement,” Mei-Hwa Chen, Michael R. Lyu, W. Eric Wong, IEEE Transactions on Reliability (TR), vol. 50, no. 2, pp. 165-170, 2001.
    Paper [SE]

  151. “Framework for Modeling Software Reliability, Using Various Testing-Efforts and Fault-Detection Rates,” Sy-Yen Kuo, Chin-Yu Huang, Michael R. Lyu, IEEE Transactions on Reliability (TR), vol. 50, no. 3, pp. 310-320, 2001.
    Paper [SE]



    —-1998—-
  152. “Reliability-Oriented Software Engineering: Design, Testing, and Evaluation Techniques,” Michael R. Lyu, IEE Proceedings - Software (IEEPSOFTWARE), vol. 145, no. 6, pp. 191-197, 1998.
    Paper [SE]



    —-1996—-
  153. “A Generalized Technique for Simulating Software Reliability,” Robert C. Tausworthe, Michael R. Lyu, IEEE Software (SOFTWARE), vol. 13, no. 2, pp. 77-88, 1996.
    Paper [SE]



    —-1994—-
  154. “Achieving Software Quality with Testing Coverage Measures,” Joseph R. Horgan, Saul London, Michael R. Lyu, Computer (COMPUTER), vol. 27, no. 9, pp. 60-69, 1994.
    Paper [SE]

  155. “Experience in Metrics and Measurements for N-Version Programming,” Michael R. Lyu, Jia-Hong Chen, Algirdas Avizienis, International Journal of Reliability, Quality and Safety Engineering (IJRQSE), vol. 1, no. 1, pp. 41-62, 1994.
    Paper [SE]

  156. “A Coverage Analysis Tool for the Effectiveness of Software Testing,” Michael R. Lyu, Joseph R. Horgan, Saul London, IEEE Transactions on Reliability (TR), vol. 43, no. 4, pp. 527-535, 1994.
    Paper [SE]

  157. “System Reliability Analysis of an N-version Programming Application,” Joanne B. Dugan, Michael R. Lyu, IEEE Transactions on Reliability (TR), vol. 43, no. 4, pp. 513-519, 1994.
    Paper [SE]



    —-1993—-
  158. “Improving the N-Version Programming Process Through the Evolution of a Design Paradigm,” Michael R. Lyu, Yu-Tao He, IEEE Transactions on Reliability (TR), vol. 42, no. 2, pp. 179-189, 1993.
    Paper [SE]



    —-1992—-
  159. “Applying Reliability Models More Effectively,” Michael R. Lyu, Allen P. Nikora, IEEE Software (SOFTWARE), vol. 9, no. 4, pp. 43-52, 1992.
    Paper [SE]

 
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