Tianyi Zhou

According to our database, Tianyi Zhou authored at least 12 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

How Language Models Process Negation.

Zhejian Zhou, Tianyi Zhou, Robin Jia, Jonathan May

CoRR, May, 2026

Convergent Evolution: How Different Language Models Learn Similar Number Representations.

Deqing Fu, Tianyi Zhou, Mikhail Belkin, Vatsal Sharan, Robin Jia

CoRR, April, 2026

2025

FoNE: Precise Single-Token Number Embeddings via Fourier Features.

Tianyi Zhou, Deqing Fu, Mahdi Soltanolkotabi, Robin Jia, Vatsal Sharan

CoRR, February, 2025

Faster Algorithms for Structured John Ellipsoid Computation.

Yang Cao, Xiaoyu Li, Zhao Song, Xin Yang, Tianyi Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Transformers Learn Low Sensitivity Functions: Investigations and Implications.

Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs.

Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Simplicity Bias of Transformers to Learn Low Sensitivity Functions.

Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan

CoRR, 2024

Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Mathematical Reasoning and Modular Arithmetic.

Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou

CoRR, 2024

Pre-trained Large Language Models Use Fourier Features to Compute Addition.

Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Faster Sampling Algorithms for Polytopes with Small Treewidth.

Yekun Ke, Xiaoyu Li, Zhao Song, Tianyi Zhou

Proceedings of the IEEE International Conference on Big Data, 2024

Fast Second-order Method for Neural Networks under Small Treewidth Setting.

Xiaoyu Li, Jiangxuan Long, Zhao Song, Tianyi Zhou

Proceedings of the IEEE International Conference on Big Data, 2024

2014

Geometry based visualization of hierarchical structures.

Peng Wang, Kang Zhang, Xiaonan Song, Tianyi Zhou, Dongwei Gong

Proceedings of the 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, 2014