Publications

implies alphabetical authorship.

2026

  1. On the Convergence and Size Transferability of Continuous-Depth Graph Neural Networks

    Mingsong Yan, Charles Kulick, Sui Tang. SIAM Journal on Mathematics of Data Science, 8(4):1120–1154, 2026.[paper] [journal]

  2. Zero-Shot Size Transfer for Neural ODEs on Sparse Random Graphs: Graphon Limits and Adjoint Convergence

    Mingsong Yan, Zhida Wang, Sui Tang. arXiv preprint, arXiv:2606.26662, 2026.[paper]

  3. Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression

    Mingsong Yan, Dongyang Li, Charles Kulick, Sui Tang. arXiv preprint, arXiv:2605.08475, 2026.[paper]

  4. Hypothesis Spaces for Deep Learning

    Rui Wang, Yuesheng Xu, Mingsong Yan. Neural Networks, 193, 2026.[paper] [journal]

2025

  1. CoLA: Compute-efficient Pre-training of LLMs via Low-rank Activation

    Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Mingsong Yan, Zi Yang, Paul Hovland, Bogdan Nicolae, Franck Cappello, Sui Tang, Zheng Zhang. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.[paper] [proceedings]

2024

  1. Sparse Deep Learning Models with the ℓ1 Regularization

    Lixin Shen, Rui Wang, Yuesheng Xu, Mingsong Yan. arXiv preprint, arXiv:2408.02801, 2024.[paper]

  2. Inexact Fixed-Point Proximity Algorithm for the ℓ0 Sparse Regularization Problem

    Ronglong Fang, Yuesheng Xu, Mingsong Yan. Journal of Scientific Computing, 100(2):58, 2024.[paper] [journal]

  3. Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces

    Rui Wang, Yuesheng Xu, Mingsong Yan. Journal of Machine Learning Research, 25(93):1–45, 2024.[paper] [journal]

2023

  1. Parameter Choices for Sparse Regularization with the ℓ1 Norm

    Qianru Liu, Rui Wang, Yuesheng Xu, Mingsong Yan. Inverse Problems, 39(2):025004, 2023.[paper] [journal]

Ph.D. Dissertation

Deep Learning in Reproducing Kernel Banach Spaces

Mingsong Yan. Ph.D. dissertation, Old Dominion University, 2024. [dissertation]