publications

2026

  1. ICML
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    Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation
    Xiaotian Liu, Shuyuan Shang, Xiaopeng Wang, and 2 more authors
    In International Conference on Machine Learning, 2026
  2. ICML
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    RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms through Diverse Examples
    Jinglong Xiong*, Xiaotian Liu*, Ruoxin Wang, and 4 more authors
    In International Conference on Machine Learning, 2026

2024

  1. NeurIPS
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    Sharpness-Diversity Tradeoff: Improving Flat Ensembles with SharpBalance
    Haiquan Lu*, Xiaotian Liu*, Yefan Zhou*, and 6 more authors
    In Advances in Neural Information Processing Systems, 2024
  2. Kobe J. Math
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    Bounding Crossing Numbers in Hexagonal Mosaics
    Hugh Howards, Jiong Li, and Xiaotian Liu
    Kobe Journal of Mathematics, 2024

2023

  1. NLAA
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    CP Decomposition for Tensors via Alternating Least Squares with QR Decomposition
    Rachel Minster, Irina Viviano, Xiaotian Liu, and 1 more author
    Numerical Linear Algebra with Applications, 2023

2022

  1. TPAMI
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    Dual Contrastive Prediction for Incomplete Multi-View Representation Learning
    Yijie Lin, Yuanbiao Gou, Xiaotian Liu, and 3 more authors
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

2019

  1. arXiv
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    An Infinite Family of Knots Whose Hexagonal Mosaic Number is Only Realized in Non-Reduced Projections
    Hugh Howards, Jiong Li, and Xiaotian Liu
    arXiv preprint arXiv:1912.03697, 2019