About
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.
Publication
- 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.
Experience
- 2020.10 - 2021.09, Research Intern. Huawei Cloud BU@CUHK Lab.
- Invited workshop presentation on: Fault prediction (Dec. 2020), AutoML (Mar. 2021), Root cause analysis (Jun. 2021).
- 2019.09 - 2020.01, Research Assistant. KnowComp Group at Hong Kong University of Science and Technology with Prof. Yangqiu Song.
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
Teaching
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
