I am a third year CSE Ph.D. student at the Chinese University of Hong Kong, advised by Prof. Michael R. Lyu. I received my Bachelor's degree in Digital Media Technology from the University of Electronic Science and Technology of China in 2020. My research focuses on Software Engineering and Knowledge Graph. Specifically, I spend my time and effort on following research topics:
  • AIOps: Identify, localize and analyze faults/anomalies in large cloud systems.
  • Knowledge Graph: Acquire structured information from natural language and conduct knowledge inference.


  • A Semantic-aware Parsing Approach for Log Analytics
    Yintong Huo, Yuxin Su, Baitong Li, Michael R. Lyu. Proceedings of 44th International Conference on Software Engineering (ICSE), 2023
  • LogVM: Variable Semantics Miner for Log Messages [PDF]
    Yintong Huo, Yuxin Su, Michael R. Lyu. Proceedings of 33rd International Symposium on Software Reliability Engineering (ISSRE), 2022
  • LogPAI: An Open-Source Project for Automated Log Analysis [Project] [Announcement]
    Pinjia He, Jieming Zhu, Shilin He, Zhuangbin Chen, Jinyang Liu, Yintong Huo, Yuxin Su, Zibin Zheng and Michael R. Lyu. IEEE SERVICES 2022 - IEEE Open Software Services Awards
  • ARCLIN: Automated API Mention Resolution for Unformatted Texts [PDF]
    Yintong Huo, Yuxin Su, Hongming Zhang, Michael R. Lyu. Proceedings of 44th International Conference on Software Engineering (ICSE), 2022.
  • CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm [PDF]
    Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, Dan Roth. ACL 2022 Workshop on Commonsense Representation and Reasoning
  • SemParser: A Semantic Parser for Log Analysis [PDF]
    Yintong Huo, Yuxin Su, Baitong Li, Michael R. Lyu. arXiv preprint, 2021.
  • Learning Contextual Causality Between Daily Events From Time-Consecutive Images [PDF]
    Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, Dan Roth. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Causality in Vision Workshop), 2021.


Honors and Awards

  • IEEE Open Software Services Award, 2022
  • Outstanding graduate of UESTC & Sichuan Province, 2020
  • National Scholarship, 2019
  • Outstanding Undergraduate Award, UESTC, 2017, 2018 & 2019


At CUHK, I work as a teaching assistant for the following undergraduate courses:
  • CSCI 3160 Algorithm Design and Analysis: Fall 2021, Spring 2020
  • CSCI 2100B Data Structure: Spring 2022