Yu Kang

Orcid: 0009-0004-1735-5876

Affiliations:
  • Microsoft Research, Beijing, China


According to our database1, Yu Kang authored at least 52 papers between 2011 and 2025.

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Bibliography

2025
WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework.
CoRR, August, 2025

SWE-bench Goes Live!
CoRR, May, 2025

Zoomer: Adaptive Image Focus Optimization for Black-box MLLM.
CoRR, May, 2025

UFO2: The Desktop AgentOS.
CoRR, April, 2025

API Agents vs. GUI Agents: Divergence and Convergence.
CoRR, March, 2025

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation.
CoRR, January, 2025

Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation.
CoRR, January, 2025

Large Language Model-Brained GUI Agents: A Survey.
Trans. Mach. Learn. Res., 2025

Te-PID: An Adaptive Erasure Coding Temperature Management System for Optimized Cloud Storage.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

UFO: A UI-Focused Agent for Windows OS Interaction.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

AllHands :Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides.
CoRR, 2024

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Large Language Models Can Provide Accurate and Interpretable Incident Triage.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

UniLog: Automatic Logging via LLM and In-Context Learning.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
TaskWeaver: A Code-First Agent Framework.
CoRR, 2023

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents.
CoRR, 2023

Assess and Summarize: Improve Outage Understanding with Large Language Models.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

STEAM: Observability-Preserving Trace Sampling.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Detection Is Better Than Cure: A Cloud Incidents Perspective.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

NetPanel: Traffic Measurement of Exchange Online Service.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Incident-aware Duplicate Ticket Aggregation for Cloud Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

CONAN: Diagnosing Batch Failures for Cloud Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

2022
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection.
ACM SIGOPS Oper. Syst. Rev., 2022

UniParser: A Unified Log Parser for Heterogeneous Log Data.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

SPINE: a scalable log parser with feedback guidance.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

An empirical study of log analysis at Microsoft.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021
Fighting the Fog of War: Automated Incident Detection for Cloud Systems.
Proceedings of the 2021 USENIX Annual Technical Conference, 2021

How Long Will it Take to Mitigate this Incident for Online Service Systems?
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Efficient customer incident triage via linking with system incidents.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Identifying linked incidents in large-scale online service systems.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Towards intelligent incident management: why we need it and how we make it.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019
Outage Prediction and Diagnosis for Cloud Service Systems.
Proceedings of the World Wide Web Conference, 2019

2018
Manufacturing Resilient Bi-Opaque Predicates Against Symbolic Execution.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

2017
On Secure and Usable Program Obfuscation: A Survey.
CoRR, 2017

Concolic Execution on Small-Size Binaries: Challenges and Empirical Study.
Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2017

2016
DiagDroid: Android performance diagnosis via anatomizing asynchronous executions.
Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Experience Report: Detecting Poor-Responsive UI in Android Applications.
Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

2015
PersisDroid: Android Performance Diagnosis via Anatomizing Asynchronous Executions.
CoRR, 2015

SpyAware: Investigating the privacy leakage signatures in app execution traces.
Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015

2012
A Clustering-Based QoS Prediction Approach for Web Service Recommendation.
Proceedings of the 15th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, 2012

WSP: A Network Coordinate Based Web Service Positioning Framework for Response Time Prediction.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

A Latency-Aware Co-deployment Mechanism for Cloud-Based Services.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012

2011
A User Experience-Based Cloud Service Redeployment Mechanism.
Proceedings of the IEEE International Conference on Cloud Computing, 2011


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