Welcome to my homepage!

I am a junior undergraduate student in Department of Software, Tsinghua University. I am currently working on the research of graph mining under the supervision of Prof. Hanghang Tong at University of Illinois at Urbana-Champaign. Before that, I worked under the supervision of Prof. Quanming Yao at Tsinghua University. I am now also a research intern at KAUST.

My research interests include:

• Enhancing the robustness, scalability, and interpretability of graph neural networks.
• Pioneering innovations to accelerate large language model prediction.

Publications

• SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter.
  Haobo Xu*, Yuchen Yan*, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong.
  Forty-first International Conference on Machine Learning (ICML), 2024.
  

Experience

• University of Illinois at Urbana-Champaign, Aug. 2023 - Present
  Research Intern, supervised by Prof. Hanghang Tong
  Towards robust, efficient, and scalable graph kernel.
  
• Tsinghua University, Feb. 2022 - Jun. 2023
  Research Intern, supervised by Prof. Quanming Yao
  Efficient hyper-parameter optimization for Knowledge graph models.

Services

• Reviewer: AAAI 2023, IEEE BigData 2023.

Awards

• Comprehensive Excellence Award of Tsinghua University (2021, 2022 & 2023).
• First Prize in National Olympiad in Informatics in Provinces (NOIP) of China (2017 & 2018).
• First Provincial-level in Chinese Physics Olympiad (2018 & 2019).