Chiming Duan

Chiming Duan

Peking University

Ph.D. student · Peking University

Building reliable software and AI systems.

I am a Ph.D. student at the School of Software and Microelectronics, Peking University, advised by Prof. Ying Li. I received my master's degree in Software Engineering from Peking University in 2025 and my bachelor's degree in Computer Science and Technology from Beijing University of Posts and Telecommunications in 2022.

My research brings AI into the software engineering lifecycle, with a focus on anomaly detection, root cause analysis, and failure management for software and AI systems.

AIOpsRoot cause analysisLog analysisAI systems
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Latest news

  • 2026.09:  Our paper Bifrost has been accepted by ASE 2026.
  • 2026.07:  Four papers were presented at FSE 2026, including our first-author paper AIMS.
  • 2026.04:  Our papers Agentic Memory and Hypothesize-Then-Verify were presented at ICSE 2026.
  • 2025.12:  Agentic Memory and Hypothesize-Then-Verify were accepted by ICSE 2026.
  • 2025.09:  LogAction, CollaborLog, and United We Stand were accepted by ASE 2025.
  • 2025.05:  My master’s thesis was recommended as outstanding by the review experts.
  • 2025.01:  Our work on web service anomaly detection was accepted by WWW 2025.
  • 2025.01:  Our paper on weakly supervised log anomaly detection was accepted by ICSE 2025.
  • 2024.12:  Our work was featured by Alibaba Cloud’s official WeChat account.
  • 2024.11:  FAMOS was accepted by ICSE 2025.
  • 2024.03:  SOIL was accepted by WWW 2024 as an oral presentation.

Publications

Selected conference papers, newest first. Titles link to the conference program.

2026

2025 and earlier

  • 📑 ASE’25 (CCF-A), LogAction: Consistent Cross-system Anomaly Detection through Logs via Active Domain Adaptation.
    • Chiming Duan*, Minghua He*, Pei Xiao*, Tong Jia, Xin Zhang, Zhewei Zhong, Xiang Luo, Yan Niu, Lingzhe Zhang, Yifan Wu, Siyu Yu, Weijie Hong, Ying Li and Gang Huang.
  • 📑 ASE’25 (CCF-A), CollaborLog: Efficient-Generalizable Log Anomaly Detection via Large-Small Model Collaboration in Software Evolution.
    • Pei Xiao*, Chiming Duan*, Minghua He*, Tong Jia, Yifan Wu, Jing Xu, Gege Gao, Lingzhe Zhang, Weijie Hong, Ying Li and Gang Huang.
  • 📑 ASE’25 (CCF-A), United We Stand: Towards End-to-End Log-based Fault Diagnosis via Interactive Multi-Task Learning.
    • Minghua He*, Chiming Duan*, Pei Xiao*, Tong Jia, Siyu Yu, Lingzhe Zhang, Weijie Hong, Jing Han, Yifan Wu, Ying Li and Gang Huang.
  • 📑 EMNLP-Findings’25, ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM.
    • Lu Wang, Chiming Duan, Pu Zhao, Fangkai Yang, Yong Shi, Xuefeng Luo, Bingjing Xu, Weiwei Deng, Qingwei Lin and Dongmei Zhang.
  • 📑 ISSRE’25, CSLParser: A Collaborative Framework Using Small and Large Language Models for Log Parsing.
    • Weijie Hong, Yifan Wu, Lingzhe Zhang, Chiming Duan, Pei Xiao, Minghua He, Xixuan Yang and Ying Li.
  • 📑 FSE-IVR’25, Agentfm: Role-aware failure management for distributed databases with llm-driven multi-agents.
    • Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Xiaosong Huang, Chiming Duan and Ying Li.
  • 📑 FSE-IVR’25, CLSLog: Collaborating Large and Small Models for Log-based Anomaly Detection.
    • Pei Xiao, Tong Jia, Chiming Duan, Minghua He, Weijie Hong, Xixuan Yang, Yihan Wu, Ying Li and Gang Huang.
  • 📑 WWW’25 (CCF-A), Enhancing web service anomaly detection via fine-grained multi-modal association and frequency domain analysis.
    • Xixuan Yang, Xin Huang, Chiming Duan, Tong Jia, Shandong Dong, Ying Li and Gang Huang.
  • 📑 ICASSP’25 (CCF-B), EagerLog: Active Learning Enhanced Retrieval Augmented Generation for Log-based Anomaly Detection.
    • Chiming Duan, Tong Jia, Yong Yang, Guiyang Liu, Jinbu Liu, Huxing Zhang, Qi Zhou, Ying Li and Gang Huang.
  • 📑 ICSE’25 (CCF-A), FAMOS: Fault diagnosis for Microservice Systems through Effective Multi-modal Data Fusion.
    • Chiming Duan, Yong Yang, Tong Jia, Guiyang Liu, Jinbu Liu, Huxing Zhang, Qi Zhou, Ying Li and Gang Huang.
  • 📑 ICSE’25 (CCF-A), Weakly-Supervised Log-Based Anomaly Detection with Inexact Labels via Multi-Instance Learning.
    • Minghua He, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li and Gang Huang.
  • 📑 ISSRE’24 (CCF-B), Logcae: An approach for log-based anomaly detection with active learning and contrastive learning.
    • Pei Xiao, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li and Gang Huang.
  • 📑 ISSRE’24 (CCF-B), Llmelog: An approach for anomaly detection based on llm-enriched log events.
    • Minghua He, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li and Gang Huang.
  • 📑 WWW’24 (CCF-A), Soil: Score conditioned diffusion model for imbalanced cloud failure prediction.
    • Chiming Duan, Fangkai Yang, Pu Zhao, Lingling Zheng, Yash Dagli, Yudong Liu, Qingwei Lin and Dongmei Zhang.
  • 📑 ISSRE’23 (CCF-B), Afalog: A general augmentation framework for log-based anomaly detection with active learning.
    • Chiming Duan, Tong Jia, Huaqian Cai, Ying Li and Gang Huang.
  • 📑 ICWS’23 (CCF-B), Aclog: An approach to detecting anomalies from system logs with active learning.
    • Chiming Duan, Tong Jia, Ying Li and Gang Huang.

Academic service

Peer review

  • 2026, ICWS, TSE
  • 2025, TNNLS, PeerJ, TCSVT

Experience & recognition

Education

  • 2025.06 - Present, Ph.D. student, Peking University.
  • 2022.09 - 2025.06, Master’s degree, Peking University.
  • 2018.09 - 2022.06, Bachelor’s degree, Beijing University of Posts and Telecommunications.

Research internships

  • 2025.01 - 2026.02, Research intern, ByteDance, China.
  • 2023.10 - 2024.10, Research intern, Alibaba Cloud, China.
  • 2022.10 - 2023.10, Research intern, Microsoft Research Asia, China.

Honors and awards

  • 2025 Outstanding Graduation Thesis.
  • 2023 Peking University Excellent Student Award.
  • 2022 Beijing Outstanding Graduate.