Lingjie Su

Lingjie Su

Lingjie Su

My name is Lingjie Su (苏凌杰). I am a first-year Ph.D. student in Computer Science at the University of Minnesota Twin Cities, advised by Prof. Ju Sun. I received my bachelor's and master's degrees from Huazhong University of Science and Technology, where I was advised by Prof. Wenlong Li and Prof. Wei Xu.

My current research interests broadly include uncertainty, generative models such as flow matching and diffusion models, and optimization. I am interested in developing reliable and flexible machine learning methods with both theoretical and practical motivations.

You can find my CV here.

Selected Publications

  1. J. Chen, L. Su, L. Peng, Y. Travadi, R. Zhang, and J. Sun, “A systematic evaluation of imbalance handling methods in biomedical binary classification,” arxiv preprint, arXiv:2605.14147, 2026.

  2. Lingjie Su, W. Xu, and W. Li, “Robust point cloud registration in robotic inspection with locally consistent gaussian mixture model,” IEEE Trans. Instrum. Meas., vol. 73, pp. 1-12, 2024, doi: 10.1109/TIM.2024.3480198.

  3. Lingjie Su, W. Xu, S. Zhao, Y. Cheng, and W. Li, “A robust probability-based joint registration method of multiple point clouds considering local consistency,” arxiv preprint, arXiv:2409.09682, 2024.

News

  • 2026.05.13: Our paper on imbalance handling methods in biomedical binary classification is now available on arXiv. In this work, we systematically evaluate commonly used strategies for handling class imbalance in biomedical binary classification tasks.
  • 2026.02.17: Won first place in the UMN Health Data Competition. Our team worked on a health data analytics problem and received first place in the competition. Announcement
  • 2025.08.02: Arrived in Minnesota. I began my Ph.D. journey in Computer Science at the University of Minnesota Twin Cities.