Publications

Qinglin Zhu, Runcong Zhao, Hanqi Yan, Yulan He, Yudong Chen, Lin Gui (2025). Navigating solution spaces in large language models through controlled embedding exploration. The 42nd International Conference on Machine Learning (ICML).

Zetai Cen, Yudong Chen, Clifford Lam (2024). Inference on dynamic spatial autoregressive models with change point detection. arXiv preprint, arXiv:2411.18773.

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Yudong Chen, Tengyao Wang, Richard J. Samworth (2024). Inference in high-dimensional online changepoint detection. J. Amer. Statist. Assoc., 119, pp. 1461–1472.

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Yudong Chen, Yining Chen (2024). Discussion of Automatic Change-Point Detection in Time Series via Deep Learning by Jie Li, Paul Fearnhead, Piotr Fryzlewicz and Tengyao Wang. J. Roy. Statist. Soc., Ser. B., 86, pp. 316–317.

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Mengchu Li, Yudong Chen, Tengyao Wang, Yi Yu (2023). Robust mean change point testing in high-dimensional data with heavy tails. arXiv preprint, arXiv:2305.18987.

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Yudong Chen, Tengyao Wang, Richard J. Samworth (2022). High-dimensional, multiscale online changepoint detection. J. Roy. Statist. Soc., Ser. B., 84, pp. 234–266.

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Yudong Chen (2021). High-dimensional online changepoint detection. PhD thesis, University of Cambridge.

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Yudong Chen, Roman Chernov, Marco Flores, Maxime Fortier Bourque, Seewoo Lee, Bowen Yang (2018). Toy Teichmüller spaces of real dimension 2: the pentagon and the punctured triangle. Geom. Dedicata, 197, pp. 193–227.

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