Ying Li

Orcid: 0000-0002-6278-2357

Affiliations:
  • Peking University, School of Software and Microelectronics, Beijing, China
  • IBM China Research Laboratory, Beijing, China (2001 - 2012)
  • Northwestern Polytechnical University (PhD 2001)


According to our database1, Ying Li authored at least 131 papers between 2003 and 2024.

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Bibliography

2024
Cascade Vertical Federated Learning Towards Straggler Mitigation and Label Privacy Over Distributed Labels.
IEEE Trans. Big Data, December, 2024

Hilogx: noise-aware log-based anomaly detection with human feedback.
VLDB J., May, 2024

Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study.
CoRR, 2024

A Survey of AIOps for Failure Management in the Era of Large Language Models.
CoRR, 2024

Practical Bandits: An Industry Perspective.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

OCRCL: Online Contrastive Learning for Root Cause Localization of Business Incidents.
Proceedings of the IEEE International Conference on Software Analysis, 2024

Multivariate Log-based Anomaly Detection for Distributed Database.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LogCAE: An Approach for Log-based Anomaly Detection with Active Learning and Contrastive Learning.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

LLMeLog: An Approach for Anomaly Detection based on LLM-enriched Log Events.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

MetaLog: Generalizable Cross-System Anomaly Detection from Logs with Meta-Learning.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Commit Message Generation via ChatGPT: How Far Are We?
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study.
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

2023
Capturing Request Execution Path for Understanding Service Behavior and Detecting Anomalies Without Code Instrumentation.
IEEE Trans. Serv. Comput., 2023


UDA-DP: Unsupervised Domain Adaptation for Software Defect Prediction.
Proceedings of the IEEE International Conference on Software Analysis, 2023

How to Manage Change-Induced Incidents? Lessons from the Study of Incident Life Cycle.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Identifying Root-Cause Changes for User-Reported Incidents in Online Service Systems.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

AcLog: An Approach to Detecting Anomalies from System Logs with Active Learning.
Proceedings of the IEEE International Conference on Web Services, 2023

An Empirical Study on Change-induced Incidents of Online Service Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

Select, Extend, and Generate: Generative Knowledge Selection for Open-Domain Dialogue Response Generation.
Proceedings of the Database Systems for Advanced Applications, 2023

Fusing Global and Local Interests with Contrastive Learning in Session-Based Recommendation.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Semi-attention Partition for Occluded Person Re-identification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning.
ACM Trans. Softw. Eng. Methodol., 2022

Generating Rational Commonsense Knowledge-Aware Dialogue Responses With Channel-Aware Knowledge Fusing Network.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Iterative Compilation Optimization Based on Metric Learning and Collaborative Filtering.
ACM Trans. Archit. Code Optim., 2022

Probabilistic Hesitant Fuzzy Taxonomy Method Based on Best-Worst-Method (BWM) and Indifference Threshold-Based Attribute Ratio Analysis (ITARA) for Multi-attributes Decision-Making.
Int. J. Fuzzy Syst., 2022

Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple Sources.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Tracing Processing of Service Requests in Cloud Environments.
Proceedings of the 27th IEEE Pacific Rim International Symposium on Dependable Computing, 2022

SemiGraphFL: Semi-supervised Graph Federated Learning for Graph Classification.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Revisiting Attention-Based Graph Neural Networks for Graph Classification.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Augmenting Log-based Anomaly Detection Models to Reduce False Anomalies with Human Feedback.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Cache Antagonists Identification: A Practice from Alibaba Colocation Datacenter.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Characterizing Job Microarchitectural Profiles at Scale: Dataset and Analysis.
Proceedings of the 51st International Conference on Parallel Processing, 2022

Cascade Vertical Federated Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Section-Aware Commonsense Knowledge-Grounded Dialogue Generation with Pre-trained Language Model.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Semorph: A Morphology Semantic Enhanced Pre-trained Model for Chinese Spam Text Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

E<sup>3L</sup>: Experience Enhanced Entity Linking for Question Answering Over Knowledge Graphs.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

KSAM: Infusing Multi-Source Knowledge into Dialogue Generation via Knowledge Source Aware Multi-Head Decoding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
A Vertical Federated Learning Framework for Horizontally Partitioned Labels.
CoRR, 2021

Mining Event Logic Graph from Open Q&A Site for Automated Program Repair.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

How Far Have We Come in Fault Tolerance for Distributed Graph Processing: A Quantitative Assessment of Fault Tolerance Effectiveness.
Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

ColocationSim: Simulate Colocation Datacenter with Microservices and Performance Interference.
Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

LogFlash: Real-time Streaming Anomaly Detection and Diagnosis from System Logs for Large-scale Software Systems.
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

Mining Configuration Items From System Logs through Distant Supervision.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Diagnosing Performance Issues in Microservices with Heterogeneous Data Source.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Revisiting Graph Neural Networks for Node Classification in Heterogeneous Graphs.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Distilling the Documents for Relation Extraction by Topic Segmentation.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Multi Path Training Framework for Data-Driven Open-Domain Conversation System.
Proceedings of the IEEE International Conference on Acoustics, 2021

Temporal Link Prediction Via Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Transparently Capturing Request Execution Path for Anomaly Detection.
CoRR, 2020

How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Automatically Generating Descriptive Texts in Logging Statements: How Far Are We?
Proceedings of the Programming Languages and Systems - 18th Asian Symposium, 2020

Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
BugIdentifier: An Approach to Identifying Bugs via Log Mining for Accelerating Bug Reporting Stage.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019

Incorporating Category Taxonomy in Deep Reinforcement Learning Based Image Hashing.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Lopper: An Efficient Method for Online Log Pattern Mining Based on Hybrid Clustering Tree.
Proceedings of the Database and Expert Systems Applications, 2019

2018
Toward Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric Learning Approach.
IEEE Trans. Multim., 2018

Analysis of Frequently Failing Tasks and Rescheduling Strategy in the Cloud System.
Int. J. Distributed Syst. Technol., 2018

Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China.
Computer, 2018

Brief Announcement: Automatic Log Enhancement for Fault Diagnosis.
Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing, 2018

Machine Deserves Better Logging: A Log Enhancement Approach for Automatic Fault Diagnosis.
Proceedings of the 2018 IEEE International Symposium on Software Reliability Engineering Workshops, 2018

KEREP: Experience in Extracting Knowledge on Distributed System Behavior through Request Execution Path.
Proceedings of the 2018 IEEE International Symposium on Software Reliability Engineering Workshops, 2018

GaiaGPU: Sharing GPUs in Container Clouds.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Transparently Capturing Execution Path of Service/Job Request Processing.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Auto-Tuning Spark Configurations Based on Neural Network.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

DLCEncDec : A Fully Character-Level Encoder-Decoder Model for Neural Responding Conversation.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Synthetic Data Approach for Classification and Regression.
Proceedings of the 29th IEEE International Conference on Application-specific Systems, 2018

2017
基于时间序列分析的杀手级任务在线识别方法 (Time Series Based Killer Task Online Recognition Approach).
计算机科学, 2017

An Approach for Anomaly Diagnosis Based on Hybrid Graph Model with Logs for Distributed Services.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

An Iterative Model for Predicting Film Attendance.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Low Frequency Words Compression in Neural Conversation System.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Predicting Misconfiguration-Induced Unsuccessful Executions of Jobs in Big Data System.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

LogSed: Anomaly Diagnosis through Mining Time-Weighted Control Flow Graph in Logs.
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016
Evaluating Performance of Rescheduling Strategies in Cloud System.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Time Series Based Killer Task Online Recognition Service: A Google Cluster Case Study.
Proceedings of the 2016 IEEE Symposium on Service-Oriented System Engineering, 2016

Hunting Killer Tasks for Cloud System through Machine Learning: A Google Cluster Case Study.
Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

CUT: A Combined Approach for Tag Recommendation in Software Information Sites.
Proceedings of the Knowledge Science, Engineering and Management, 2016

SLA-DO: A SLA-Based Data Distribution Strategy on Multiple Cloud Storage Systems.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

Hunting Killer Tasks for Cloud System through Behavior Pattern Learning.
Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2016

Can We Use Programmer's Knowledge? Fixing Parameter Configuration Errors in Hadoop through Analyzing Q&A Sites.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

An Approach for Cross-Community Content Recommendation: A Case Study on Docker.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

An Approach to Pinpointing Bug-Induced Failure in Logs of Open Cloud Platforms.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
Characterizing and Predicting Bug Assignment in OpenStack.
Proceedings of the 2015 Second International Conference on Trustworthy Systems and Their Applications, 2015

An Analysis on Availability Commitment and Penalty in Cloud SLA.
Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

A Competitive Penalty Model for Availability Based Cloud SLA.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
Scheduling Cloud Platform Managed Live-Migration Operations to Minimize the Makespan.
Proceedings of the Network and Parallel Computing, 2014

Dependability Analysis on Open Stack IaaS Cloud: Bug Anaysis and Fault Injection.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

2013
Model-based system configuration approach for Internetware.
Sci. China Inf. Sci., 2013

Effort Estimation in Cloud Migration Process.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

2011
Multi Cloud Management for unified cloud services across cloud sites.
Proceedings of the 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011

2010
Brief announcement: network traffic can optimize consolidation during transformation to virtualization.
Proceedings of the 29th Annual ACM Symposium on Principles of Distributed Computing, 2010

Mashing-Up Rich User Interfaces for Human-Interaction in WS-BPEL.
Proceedings of the IEEE International Conference on Web Services, 2010

Correlation Based File Prefetching Approach for Hadoop.
Proceedings of the Cloud Computing, Second International Conference, 2010

A Novel Approach to Improving the Efficiency of Storing and Accessing Small Files on Hadoop: A Case Study by PowerPoint Files.
Proceedings of the 2010 IEEE International Conference on Services Computing, 2010

2009
A methodology for analyzing availability weak points in SOA deployment frameworks.
IEEE Trans. Netw. Serv. Manag., 2009

A collaborative management as a service framework for managing Internetware systems.
Proceedings of the First Asia-Pacific Symposium on Internetware, 2009

Hadoop high availability through metadata replication.
Proceedings of the First International CIKM Workshop on Cloud Data Management, 2009

A Profile-Based Approach to Just-in-Time Scalability for Cloud Applications.
Proceedings of the IEEE International Conference on Cloud Computing, 2009

The Method and Tool of Cost Analysis for Cloud Computing.
Proceedings of the IEEE International Conference on Cloud Computing, 2009

2008
Partition-based heap memory management in an application server.
ACM SIGOPS Oper. Syst. Rev., 2008

An On-the-Fly Approach to Web-Based Service Composition.
Proceedings of the 2008 IEEE World Congress on Services, 2008

Availability "weak point" analysis over an SOA deployment framework.
Proceedings of the IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubioquitous Networks and Services, 2008

A state machine approach for problem detection in large-scale distributed system.
Proceedings of the IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubioquitous Networks and Services, 2008

Automatic model-based service hosting environment migration.
Proceedings of the IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubioquitous Networks and Services, 2008

A Semantic QoS-Aware Discovery Framework for Web Services.
Proceedings of the 2008 IEEE International Conference on Web Services (ICWS 2008), 2008

Declarative Constraint Framework for SOA Deployment and Configuration.
Proceedings of the 2008 IEEE International Conference on Web Services (ICWS 2008), 2008

Anchor Semantics Enabled Ranking Method for Service Discovery and Integration.
Proceedings of the 2008 IEEE International Conference on Web Services (ICWS 2008), 2008

SPIN: Service Performance Isolation Infrastructure in Multi-tenancy Environment.
Proceedings of the Service-Oriented Computing, 2008

2007
Model-Based Dependency Management for Migrating Service Hosting Environment.
Proceedings of the 2007 IEEE International Conference on Services Computing (SCC 2007), 2007

Pattern based Declarative Constraint Solution for Model-Driven Service Deployment.
Proceedings of the 2007 IEEE International Conference on Services Computing (SCC 2007), 2007

2006
Sizing multi-space in heap for application isolation.
Proceedings of the Companion to the 21th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2006

Analyzing XML Parser Memory Characteristics: Experiments towards ImprovingWeb Services Performance.
Proceedings of the 2006 IEEE International Conference on Web Services (ICWS 2006), 2006

Modeling and Verifying Configuration in Service Deployment.
Proceedings of the 2006 IEEE International Conference on Services Computing (SCC 2006), 2006

2005
Detecting dominant locations from search queries.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Self-Reconfiguration of Service-Based Systems: A Case Study for Service Level Agreements and Resource Optimization.
Proceedings of the 2005 IEEE International Conference on Web Services (ICWS 2005), 2005

2004
LORE: An infrastructure to support location-aware services.
IBM J. Res. Dev., 2004

WSCE: A Flexible Web Service Composition Environment.
Proceedings of the IEEE International Conference on Web Services (ICWS'04), 2004

Services Ecosystem: Towards a Resilient Infrastructure for On Demand Services Provisioning in Grid.
Proceedings of the IEEE International Conference on Web Services (ICWS'04), 2004

2003
The Approach for Data Warehouse to Answering Spatial OLAP Queries.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

The Framework Supporting QoS-Enabled Web Services.
Proceedings of the International Conference on Web Services, ICWS '03, June 23, 2003

Spatial hierarchy and OLAP-favored search in spatial data warehouse.
Proceedings of the DOLAP 2003, 2003

An Approach to Enabling Spatial OLAP by Aggregating on Spatial Hierarchy.
Proceedings of the Data Warehousing and Knowledge Discovery, 5th International Conference, 2003


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