Yuxuan Cao

Hakuna Matata.

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I am a first-year Ph.D. student in Computer Science at HKUST, supervised by Prof. Junxian He. Before that, I got my masters’ degree in Computer Science and Technology Department at Zhejiang University, advised by Prof. Yang Yang and Prof. Jiarong Xu. I also collaborated with Prof. Carl Yang on various aspects of graph-related research topics.

My current research interest primarily lies in LLM post-training and LLM reasoning. I am also interested in graph data mining and its specialized applications in real-world scenarios.

News

Nov 20, 2024 🎉 One paper is accepted to SIGKDD 2025: How to use Graph Data in the Wild to Help Graph Anomaly Detection?
Jun 20, 2024 🎉 One paper is accepted to ACL 2024: Cross-lingual knowledge editing in large language models
Nov 15, 2023 🎉 One paper is accepted to NeurIPS 2023:Better with Less: A Data-Centric Prespective on Pre-Training Graph Neural Networks.
Jun 15, 2023 🎉 One paper is accepted to SIGKDD 2023: When to Pre-Train Graph Neural Networks? From Data Generation Perspective!

Publications

2024

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    How to Use Graph Data in the Wild to Help Graph Anomaly Detection?
    Yuxuan CaoJiarong Xu, Chen Zhao, Jiaan WangCarl Yang, and 2 more authors
    Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD’25), 2024
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    Cross-lingual knowledge editing in large language models
    Jiaan Wang, Yunlong Liang, Zengkui Sun, Yuxuan CaoJiarong Xu, and 1 more author
    Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024

2023

  1. when.png
    When to Pre-Train Graph Neural Networks? From Data Generation Perspective!
    Yuxuan Cao*Jiarong Xu*Carl YangJiaan WangYunchao Zhang, and 3 more authors
    Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD), 2023
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    Better with less: A data-active perspective on pre-training graph neural networks
    Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan CaoCarl Yang, and 2 more authors
    Advances in Neural Information Processing Systems(NeurIPS), 2023

Honors&Awards

  • Hong Kong PhD Fellowship Scheme(2025)
  • National Scholarship(2023)
  • Outstanding Graduate of Zhejiang Province(2022)
  • Zhejiang Government Scholarship(2021)
  • First Prize Scholarship of Zhejiang University(2019, 2021)

Education

  • Hong Kong University of Science and Technology
    Ph.D. in Computer Science and Engineering
    2025.09 - Present

  • Zhejiang University
    Master in Computer Science and Technology
    2022.09 - 2025.04

  • Zhejiang University
    Bachelor in Computer Science and Technology
    2018.09 - 2022.07

Miscellaneous

In my free time, I enjoy hiking and writing. I’m an avid fan of Khalil Fong, an exceptional artist and musician. I also play in a band called 'ANS' with my friends. I am interested in cognitive science, cosmology, and metaphysics, with a particular focus on exploring the interconnections between their underlying principles.