Chiming Duan

Orcid: 0009-0008-4422-6323

According to our database1, Chiming Duan authored at least 28 papers between 2023 and 2026.

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Bibliography

2026
From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery.
CoRR, May, 2026

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought.
CoRR, May, 2026

E2E-REME: Towards End-to-End Microservices Auto-Remediation via Experience-Simulation Reinforcement Fine-Tuning.
CoRR, April, 2026

Efficient Failure Management for Multi-Agent Systems with Reasoning Trace Representation.
CoRR, March, 2026

RuntimeSlicer: Towards Generalizable Unified Runtime State Representation for Failure Management.
CoRR, March, 2026

Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism.
CoRR, January, 2026

Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices.
CoRR, January, 2026

2025
MicroRemed: Benchmarking LLMs in Microservices Remediation.
CoRR, November, 2025

Adaptive Root Cause Localization for Microservice Systems with Multi-Agent Recursion-of-Thought.
CoRR, August, 2025

A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Models.
CoRR, August, 2025

ThinkFL: Self-Refining Failure Localization for Microservice Systems via Reinforcement Fine-Tuning.
CoRR, April, 2025

Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

CLSLog: Collaborating Large and Small Models for Log-based Anomaly Detection.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

CoorLog: Efficient-Generalizable Log Anomaly Detection via Adaptive Coordinator in Software Evolution.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Walk the Talk: Is Your Log-based Software Reliability Maintenance System Really Reliable?
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

United We Stand: Towards End-to-End Log-based Fault Diagnosis via Interactive Multi-Task Learning.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

LogAction: Consistent Cross-system Anomaly Detection through Logs via Active Domain Adaptation.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

CSLParser: A Collaborative Framework Using Small and Large Language Models for Log Parsing.
Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, 2025

Weakly-Supervised Log-Based Anomaly Detection with Inexact Labels via Multi-Instance Learning.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Famos: Fault Diagnosis for Microservice Systems Through Effective Multi-Modal Data Fusion.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

EagerLog: Active Learning Enhanced Retrieval Augmented Generation for Log-based Anomaly Detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 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

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


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