Publications

Workshops

[W.1] Provable In-Context Learning of Linear Systems and Linear Elliptic PDEs with Transformers

Frank Cole, Yulong Lu, Riley O'Neill, and Tianhao Zhang (alphabetical order), 2024. Neurips 2024 Workshop Foundation Models for Science: Progress, Opportunities, and Challenges Poster. Link.

Preprints

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Publications

[6] In-Context Learning of Linear Systems: Generalization Theory and Application to Operator Learning

Frank Cole, Yulong Lu, Wuzhe Xu, and Tianhao Zhang (alphabetical order), To appear in SIAM Journal on Mathematics of Data Science. Link.

[5] In-Context Learning of Linear Dynamical Systems with Transformers: Error Bounds and Depth-Separation

Frank Cole, Yulong Lu, Tianhao Zhang, and Yuxuan Zhao, 2025. The Thirty-ninth Annual Conference on Neural Information Processing Systems. Link.

[4] BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation

Tianhao Zhang*, Zhexiao Lin*, Zhecheng Sheng*, Chen Jiang* and Dongyeop Kang (*=equal contributions), The 2025 Conference on Empirical Methods in Natural Language Processing (Main Conference). Link.

[3] BBScore: A Brownian bridge based metric for assessing text coherence

Zhecheng Sheng*, Tianhao Zhang*, Chen Jiang* and Dongyeop Kang (*=equal contributions), Proceedings of the AAAI Conference on Artificial Intelligence, 38(13), 14937-14945. Link.

[2] The Interaction of Mechanics and the Hippo Pathway in Drosophila melanogaster

Jia Gou*, Tianhao Zhang*, and Hans G. Othmer (*=equal contributions), Cancers 2023; 15(19):4840. Link.

[1] A constructive proof of the Cauchy–Kovalevskaya theorem for ordinary differential equations

Shane Kepley, and Tianhao Zhang (alphabetical order), Journal of Fixed Point Theory and Applications 23, 7. Link.