Ying Li is currently a professor of the School of Software and Microelectronics in Peking University. Meanwhile, she is a research professor of National Research Center of Software Engineering, and managing the Education Center of Doctor of Engineering (electronics and information area). Before joining PKU in 2012, she worked as STSM and Senior Manager leading the Department of Distributed Computing and Service Management in IBM China Research Lab.

         During the period of working in IBM, Dr. Li conducted several global collaborative research projects that the technologies have been successfully delivered and transformed to IBM software products and global service solutions, which made significant technology impact and business value, wining "IBM CIO Leadership Award" (2007) and "IBM Global Research Accomplishment Award" twice (2008 and 2010). She worked as the Executive Assistant to IBM China Chairman in 2009. She worked as the member of Software Product Architecture Board to participate several industrial projects with solid contribution to commercial software systems. She also worked as the Strategist for IBM global research strategy, and contributed to IBM Global Technical Outlook (GTO) from year 2008 to 2011. She had served as the Chair of IBM Research Lab Patent Review Board for several years. She was awarded as the "IBM Master Inventor" in 2011.

         During the period of working in PKU, research interests including Artificial Intelligence for IT Operations, Cloud-Native systems, distributed machine learning and natural language processing, etc. She and her research team have undertaking relevant research projects supported by National Key Research and Development Program, National Natural Science Foundation, Key-Area R&D program of Guangdong Province, etc. and building fruitful collaboration with high tech companies including Delta，ZTE, Alibaba, Huawei, ICBC Tech, UINO, IBM, VMware etc. to solve challenging technical problems in industry.

        Professor Li applied 30+ US/CN patents wherein 33 US/CN patents were granted. She has published 90+ academic papers on top international journals and conferences. She served as reviewers for top international conferences including ACL, IJCAI, AAAI, etc., and the senior member of CCF. 

·  Artificial Intelligence for IT Operations (AIOps) including system log-based anomaly detection, distributed tracing for anomaly detection, risk prediction of changes, knowledge graph-based recovery, etc.

·   Natural Language Process (NLP) including knowledge graph representation acquisition and applications, knowledge-aware dialogue generation, graph-based recommendation, etc.

·   Cloud-Native including hybrid scheduling, fault-tolerance, simulation, etc.

·   Distributed Machine Learning including federated learning, fault-tolerance of distributed graph computing, etc.

·   ... more information can be found in the following selected publications, and Wechat public account - PKUFineLab - PKUFineLab... 

1.    Yang Yong, Wang Long*, Gu Jing, Li Ying*, Transparently Capturing Request Execution Path for Understanding Service Behavior and Detecting Anomalies，IEEE Transactions on Services Computing (TSC), Volume: 16, Issue: 2, 01 March-April 2023 Page(s): 996 – 1010
2.    Sixing Wu, Ying Li*, Dawei Zhang, Zhonghai Wu, Generating Rational Commonsense Knowledge-aware Dialogue Responses with Channel-Aware Knowledge Fusing Network, IEEE Transactions on Audio Speech and Language Processing (TASLP) PP(99):1-10，Jan, 2022
3.    Yu, Hao, Hu, Xing, Li, Ge, Li, Ying, Wang, Qianxiang, Xie, Tao, Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning, ACM Transaction on Software Engineering Methodology (TOSEM), Accepted
4.    Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan, Cascade Vertical Federated Learning Towards Straggler Mitigation and Label Privacy over Distributed Lab, IEEE Transactions on Big Data (TBD), Early Access, 2022 DOI Bookmark: 10.1109/TBDATA.2022.3231277
5.    Hongzhi Liu, Jie Luo, Ying Li, Zhonghai Wu, Iterative Compilation Optimization based on Metric Learning and Collaborative Filtering, ACM Transactions on Architecture Code Optimization (TACO) 19(1), Article No.: 2, pp 1–25, 2022.
6.    Yifan Wu, Bingxu Chai, Ying Li*, Bingchang Liu, Jianguo Li, Yong Yang, Wei Jiang: Empirical Study on Change-induced Incidents of Online Service Systems, IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP 2023)
7.    Mengxi Jia, Yifan Sun, Yunpeng Zhai, Xinhua Cheng, Yi Yang, Ying Li*, Semi-Attention Partition for Occluded Person Re-identification, the 37th AAAI Conference on Artificial Intelligence (AAAI-23)
8.    Xiaosong Huang, Yifan Wu, Hongyi Liu, Ying Li, Hao Yu, Dadi Guo, Zhonghai Wu, UDA-DP: Unsupervised Domain Adaptation for Software Defect Prediction, the 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2023)
9.    Chiming Duan, Tong Jia, Ying Li, et.al, AcLog: An Approach to Detecting Anomalies from System Logs with Active Learning, The 2023 IEEE International Conference on Web Services (IEEE ICWS 2023)
10.    Jia Tong, Li Ying*, Yang Yong, Huang Gang Wu Zhonghai, Augmenting Log-based Anomaly Detection Models to Reduce False Anomalies with Human Feedback, The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)
11.    Tao Ye, Li Ying*, Zhang Su, Hou Zhirong, Wu Zhonghai, Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network, 31th The Web Conference 2022 (WWW 2022)
12.    Ye Tao, Ying Li*, Zhonghai Wu, Revisiting Attention-based Graph Neural Networks for Graph Classification, International Conference on Parallel Problem Solving from Nature (PPSN 2022)
13.    Ye Tao, Ying Li, Zhonghai Wu, SemiGraphFL: A Semi-Supervised Graph Federated Learning Framework for Graph Classification, International Conference on Parallel Problem Solving from Nature (PPSN 2022)
14.    Wang Kangjin, Chuanjia Hou, Ying Li, Yaoyong Dou, Chen Wang,, et.al, Cache Antagonists Identification: A Practice from Alibaba Colocation Datacenter，the 33rd IEEE International Symposium on Software Reliability Engineering (ISSRE 2022) Candidate for the ISSRE 2022 Industry Track Best Paper Award
15.    Kangjin Wang, Ying Li*, Cheng Wang, Tong Jia, Kingsum Chow, Yang Wen,  Characterizing Job Microarchitectural Profiles at Scale: Dataset and Analysis， 51st International Conference on Parallel Processing (ICPP 2022)
16.    Sixing Wu, Ying Li, Ping Xue, Dawei Zhang and Zhonghai Wu，Section-Aware Commonsense Knowledge-Grounded Dialogue Generation with Pre-trained Language Model, the 29th International Conference on Computational Linguistics (COLING 2022)
17.    Sixing Wu, Ying Li, Dawei Zhang, Zhonghai Wu, KSAM: Infusing Multi-Source Knowledge into Dialogue Generation via Knowledge Source Aware Multi-Head Decoding，The findings of Annual Meeting of the Association for Computational Linguistics (ACL 2022)
18.    Sixing Wu, Minghui Wang, Ying Li, Dawei Zhang, Zhonghai Wu, Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple Sources，International Conference on Web Search and Data Mining (WSDM 2022)
19.    Wensheng Xia, Ying Li*, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan, Cascade Vertical Federated Learning. IEEE International Conference on Multimedia and Expo (ICME 2022)  
20.    Sixing Wu, Minghui Wang, Dawei Zhang, Yang Zhou, Ying Li*, Zhonghai Wu: Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network. the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021)
21.    Tong Jia, Yifan Wu, Chuanjia Hou, Ying Li*, LogFlash: Real-time Streaming Anomaly Detection and Diagnosis from System Logs for Large-scale Software Systems, the 32nd International Symposium on Software Reliability Engineering (ISSRE 2021)
22.    Tong Jia, Ying Li*, Qixun Zhang, Zhonghai Wu, Automatic Logging Decision Through Program Layered Structure Tree and Transfer Learning, Journal of Software (JOS), 2021, 32(9):2713-2728
23.    Zhang Cheng-Bo, Li Ying*, Jia Tong, Survey of State-of-the-art Fault Tolerance for Distributed Graph Processing Jobs, Journal of Software (JOS), 2021,32(7): 2078-2102
24.    Tao Ye, Li Ying*, Wu Zhonghai, Revisiting Graph Neural Networks for Node Classification in Heterogeneous Graphs, IEEE International Conference on Multimedia & Expo (ICME2021)
25.    Sixing Wu, Ying Li*, Dawei Zhang, Yang Zhou and Zhonghai Wu, Multi Path Training Framework for Data-Driven Open-Domain Conversation System, IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP 2021)
26.    Chengbo zhang, Ying Li*, Yong Yang, Tong Jia, Zhirong Hou, How Far Have We Come in Fault Tolerance for Distributed Graph Processing: A Quantitative Assessment of Fault Tolerance Effectiveness, the 32nd International Symposium on Software Reliability Engineering (ISSRE 2021)
27.    Tao Ye, Li Ying*, Wu Zhonghai, Temporal Link Prediction via Reinforcement Learning, IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP 2021)
28.    Su Xiao, Li Ying, Wu Zhonghai, Fusing Essential Knowledge for Text-Based Open-Domain Question Answering, the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021)
29.    Minghui Wang, Ping Xue, Ying Li and Zhonghai Wu, Distilling the Documents for Relation Extraction by Topic Segmentation, 16th International Conference on Document Analysis and Recognition (ICDAR 2021).
30.    Chuanjia Hou, Tong Jia, Yifan Wu, Ying Li and Jing Han, Diagnosing Performance Issues in Microservices with Heterogeneous Data Source, the 19th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2021)
31.    Sixing Wu, Ying Li*, Dawei Zhang, Yang Zhou, Zhonghai Wu, Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness, the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020).
32.    Sixing Wu, Ying Li*, Dawei Zhang, Yang Zhou, Zhonghai Wu, TopicKA: Generating Commonsense Knowledge-Aware Dialogue Response Towards the Recommended Topic Fact, the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI 2020).
33.    Wang Kang-Jin, Jia Tong, Li Ying*, State-of-the-art Survey of Scheduling and Resource Management Technology for Colocation Jobs, Journal of Software(JOS), 2020,31(10) 3100–3119
34.    Jia Tong, Li Ying*, Wu Zhonghai, State-of-the-Art Survey of Log-Based Failure Diagnosis, Journal of Software(JOS), 2020,31(7) 1997-2018
35.    Yang Yong, Li Ying*, Wu Zhonghai, State-of-the-Art Survey of Distributed Tracing Technology, Journal of Software, 2020,31(7) 2019-2039
36.    Sixing Wu, Ying Li*, Dawei Zhang, Zhonghai Wu, Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues . the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)
37.    Yong Yang , Yifan Wu , Karthik Pattabiraman , Long Wang , Ying Li*, How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method，the 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE 2020)
38.    Liu Xiaotong, Jia Tong, Li Ying*, Yu Hao, Yue Yang, Hou Chuanjia, Automatically Generating Descriptive Texts in Logging Statements: How Far Are We? The 18th Asian Symposium on Programming Languages and Systems (APLAS 2020)
39.    Guo Chang, Li Ying, Liu Hongzhi, Wu Zhonghai, An Application-oriented cache allocation and prefetching method for long-running applications in distributed storage systems, Chinese Journal of Electronics(CJE), Vol.28, No. 4, July 2019. (SCI: 000477687600014)
40.    Wensheng Xia, Ying Li*, Tong Jia and Zhonghai Wu, Bug Identifier: An Approach to Identifying Bugs via Log Mining for Accelerating Bug Reporting Stage, the 19th IEEE International Conference on Software Quality, Reliability, and Security (QRS 2019).
41.    Jiawei Liu, Zhirong Hou, Ying Li*, Lopper: An Efficient Method for Online Log Pattern Mining based on Hybrid Clustering Tree, the 30th International Conference on Databases and Expert Systems Applications (DEXA2019)
42.    Jiangtao Wang, Junfeng Zhao, Ying Li, Yong Zhang, Yun Xie, Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China, IEEE Computer 51(12), pp.42-49, December 2018. (SCI: 000458163600006)
43.    Tang Hongyan, Li Ying*, Jia Tong, Yuan Xiaoyong, Wu Zhonghai, Analysis of Frequently Failing Tasks and Rescheduling Strategy in the Cloud System, International Journal of Distributed Systems and Technologies (ITDST), 2018, 9(1):16-38 (SCI:000429259600002)
44.    Tong Jia, Ying Li*, Zhonghai Wu, Brief Announcement: Automatic Log Enhancement for Fault Diagnosis, ACM Symposium on Principles of Distributed Computing (PODC 2018)
45.    Tong Jia, Ying Li*, Chengbo Zhang, Wensheng Xia, Jie Jiang and Yuhong Liu，Machine Deserves Better Logging: A Log Enhancement Approach for Automatic Fault diagnosis，The 29th IEEE Symposium on Software Reliability Engineering (ISSRE 2018)
46.    Jing Gu, Long Wang, Yong Yang and Ying Li*，KEREP: Experience in Extracting Knowledge on Distributed System Behavior through Request Execution Path，The 29th IEEE Symposium on Software Reliability Engineering (ISSRE 2018)
47.    Yong Yang, Long Wang, Jing Gu, Ying Li*,Transparently Capturing Execution Path of Service/Job Request Processing, the 16th International Conference on Service Oriented Computing (ICSOC 2018)
48.    Sixing Wu, Dawei Zhang, Ying Li*, Xing Xie, Zhonghai Wu，HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation, The 27th International Conference on Computational Linguistics (COLING 2018)
49.    Shengbo Song, Jing Gu, Hanmei Luo, Ying Li, GaiaGPU: Sharing GPUs in Container Clouds, 16th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA2018)
50.    Wu Sixing, Li Ying*, Zhang Xinyuan, Wu Zhonghai, DLCEncDec: A Fully Character-level Encoder-Decoder Model for Neural Responding Conversation, the 42th IEEE International Conference on Computers, Software & Applications (COMPSAC 2018).
51.    Yang Yue, Ying Li, Kexin Yi, Zhonghai Wu, SDACR: Synthetic Data Approach for Classification and Regression, The 29th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors(ASAP 2018).
52.    Jing Gu, Ying Li*, Hongyan Tang, Zhonghai Wu,  Auto-tuning Spark Configurations Based on Neural Network, IEEE International Conference on Communications (ICC 2018)
53.    Tong Jia, Pengfei Chen, Lin Yang, Ying Li*, et al, An approach for anomaly diagnosis based on hybrid graph model with logs for distributed services, 14th IEEE International Conference on Web Services (ICWS 2017)  Tong Jia, Lin Yang, Pengfei Chen, Ying Li*, et al, LogSed: Anomaly diagnosis through mining time-weighted control flow graph in logs, IEEE International Conference on Cloud Computing (IEEE Cloud 2017)
54.     Yong Yue, Ying Li*, Tong Jia and Zhonghai Wu, An Iterative Model for Predicting Film Attendence, 24th International Conference on Neural Information Processing (ICONIP 2017).
55.    Sixing Wu, Ying Li* and Zhonghai Wu, Low Frequency Words Compression in Neural Conversation System, 24th International Conference on Neural Information Processing (ICONIP 2017).
56.    Tang Hongyan, Li Ying*, Wang Long, Gu Jing, Wu Zhonghai, Predicting Misconfiguration-induced Unsuccessful Executions of Jobs in Big Data System,41st International Computer Software and Applications Conference (COMPSAC 2017).
57.    Yuan Xiaoyong, Tang Hongyan, Li Ying*, Jia Tong, Liu Tiancheng, Wu Zhonghai,  A COMPETITIVE PENALTY MODEL FOR AVAILABILITY BASED CLOUD SLA, Services Transactions on Cloud Computing Vol. 4, No. 1, 2016.
58.    Tang HongYan, Li Ying*, Jia Tong, Wu Zhonghai, Hunting Killer Tasks for Cloud System Through machine learning: A Google Cluster Case Study, The 2016 IEEE International Conference on Software Quality, Reliability & Security (QRS-2016) .
59.    Jiatong, Li Ying*, Tang Hongyan, Wu Zhonghai, An Approach to Pinpointing Bug-induced Failure in Logs for Open Cloud Platforms, IEEE International Conference on Cloud Computing (IEEE Cloud 2016)
60.    Chang Guo, Ying Li, Zhonghai Wu, SLA-DO: A SLA-Based Data Distribution Strategy on Multiple Cloud Storage Systems, The 22nd IEEE International Conference on Parallel and Distributed System (ICPADS 2016)
61.    Yang Yong, Li Ying*, Tang Hongyan, Jia Tong, Shao Wenlong, An Approach for Cross-Community Content Recommendation: A Case Study on Docker, the 18th Asia Pacific Web Conference (APWeb 2016)
62.     Hongyan Tang, Ying Li*, Tong Jia, Zhonghai Wu, Evaluating Performance of Rescheduling Strategies in Cloud System, The 14th IEEE International Symposium on Parallel and Distributed Processing with Applications
63.    Tang Hongyan, Li Ying*, Jia Tong, Yuan Xiaoyong, Wu Zhonghai, Time Series Based Killer Task Online Recognition Service: A Google Cluster Case Study, the International Conference on Service-Oriented System Engineering (IEEE SOSE 2016).
64.    Yuan Xiaoyong, Tang Hong Yan, Li Ying*, Liu Tiancheng, Wu Zhonghai, A Competitive Penalty Model for Availability Based Cloud SLA, IEEE International Conference on Cloud Computing (IEEE Cloud 2015)
65.    Jia Tong, Li Ying* ,Yuan Xiaoyong, Tang Hongyan, Wu Zhonghai, Characterizing and Predicting Bug Assignment in OpenStack, International Conference on Trustworthy Systems and their Applications (IEEE TSA 2015)
66.    Yuan Xiaoyong, Li Ying*, Wu Zhonghai, Liu Tiancheng, An Analysis on Availability Commitment and Penalty in Cloud SLA,The 39th Annual International Computers, Software & Applications Conference (COMPSAC 2015)
67.    Yuan Xiaoyong, Li Ying*, Liu Tiancheng, Dependability Analysis on OpenStack IaaS Cloud:Bug Anaysis and Fault Injection, The IEEE international Conference on Cloud Computing Technology and Science (CloudCom 2014)
68.    LI Ying, SUN Kewei, YANG Jie,LIU Tiancheng, ZENG Liangzhao, Model-based system configuration approach for Internetware, SCIENCE CHINA Information Sciences, August 2013, 56: 082102(20) (SCI: 000323665900003)
69.    Kewei Sun, Ying Li*, Effort Estimation for Cloud Migration Process, IEEE International Conference on service-oriented system engineering (SOSE 2013)
70.    Jie Yang, Tao Yu, Lirong Jian, Jie Qiu, Ying Li*, An extreme automation framework for scaling cloud applications, IBM Journal of Research and Development, Volume: 55 Issue:6 page(s): 8:1 - 8:12, Nov.-Dec. 2011. (SCI: 000301501400010 )
71.    Kewei Sun, Ying Li*, Jing Luo, Network traffic can optimize consolidation during transformation to virtualization, 29th Annual ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (ACM PODC 2010)
72.    Jing Luo, Ying Li*, John A Pershing, et.al. A Methodology for Analyzing Availability Weak Points in SOA Deployment Frameworks, IEEE Transactions on Network and Service Management, Volume 6 Issue:1 31-44, 2009.
73.    Xinhui Li, Ying Li*, Tiancheng Liu, Jie Qiu, Fengchun Wang, The Method and Tool of Cost Analysis for Cloud Computing, IEEE international conference on Cloud Computing (IEEE Cloud 2009).
74.    Kewei Sun, Ying Li, Jing Luo, Network Traffic-based Automatic optimized Migration from Physical to Virtualized Cloud Environment with UCM Tool. IEEE International Conference on Broadband Network & Multimedia Technology,2009. Best Paper Award.
75.    Yang, Jie; Qiu, Jie; Li, Ying, A profile-based approach to just-in-time scalability for cloud applications, IEEE International Conference on Cloud Computing (IEEE Cloud 2009)
76.    Jing Luo, Ying Li, Anchor semantics enabled ranking method for service discovery and integration, The IEEE International Conference on Web Services (ICWS 2008).
77.    Tiancheng Liu, Ying Li*, Andrew Schofield, Kewei Sun, Ying Chen, Partition-based Heap Memory Management in an Application Server, ACM SIGOPS Operating System Review, Volume 42, Issue 1, 2008. (EI: 20102012934239)
78.    Li Xinhui, Liu Tiancheng, Ying Li, Chen Ying, SPIN: Service performance isolation infrastructure in multi-tenancy environment, International Conference on Service-oriented Computing (ICSOC 2008)
79.    Sun Kewei, Qiu Jie, Li Ying, Chen Ying, Ji Weixing, A State Machine Approach for Problem Detection in Large-scale Distributed System, IEEE/IFIP Network Operations and Management Symposium (NOMS 2008).
80.    Jing Luo, Ying Li, Jie Qiu, Ying Chen, Declarative constraint framework for SOA deployment and configuration, The IEEE International Conference on Web Services (ICWS 2008).
81.    Xie Lei, Luo Jing, Qiu Jie, Pershing A. John, Li Ying, Chen Ying, availability weak point analysis over an SOA deployment framework, IEEE network operations and management symposium (NOMS 2008).
82.    Qian Ma, Ying Li, Kewei Sun, Ying Chen, Model-Based Dependency Management for Migrating Service Hosting Environment, IEEE International Conference on Services Computing (SCC 2007)
83.    Luo, Jing, Li, Ying; Qiu, Jie, Pattern based Declarative Constraint Solution for Model-Driven Service Deployment, IEEE International Conference on Services Computing (SCC 2007)
84.    Ying Li, Kewei Sun, Jie Qiu, Ying Chen, Self-Reconfiguration of Service-Based Systems for Service Level Agreements and Resource Optimization, International Journal of Web Services (JWSR), 2006 3(2), 81-100 (SCI: 000240951700005）
85.    Kewei Sun, Ying Li, Matt Hogstrom, Ying Chen, Sizing Multi-Space in Heap for Application Isolation, the 21th Annual ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA 2006)
86.    Ying Li, Jie Qiu, Kewei Sun, Ying Chen, Modeling and Verifying Configuration in Service Deployment, IEEE International Conference on Services Computing (IEEE SCC 2006)
87.    Gang Wang, Cheng Xu, Ying Li*, Ying Chen, Analyzing XML Parser Memory Characteristics: Experiments towards Improving Web Services Performance, IEEE International Conference on Web Services (ICWS 2006).
88.    Ying Li, Kewei Sun, Jie Qiu, Ying Chen, Self-Reconfiguration of Service-Based Systems: A Case Study for Service Level Agreements and Resource Optimization, IEEE International Conference on Web Services (ICWS 2005)
89.     Ying Li, Fangyan Rao, Ying Chen, Dong Liu, Thomas Li, Services Ecosystem: towards a resilient infrastructure for on demand services provisioning in grid, IEEE International Conference of Web Services (ICWS 2004).
90.    Ying Li, Xiaocheng Ding, Ying Chen, Dong Liu, Thomas Li, The Framework Supporting QoS-enabled Web Services, The International Conference on Web Services (ICWS 2003)