About Me

I am currently a Ph.D. student at Paul G. Allen School of Computer Science and Engineering of University of Washington. Previously, I received my Bachelor’s degree in Computer Science and Technology from the School of the Gifted Young, University of Science and Technology of China in June 2023. My research interest is generally in 3D Computer Vision and Language Models. I also have some previous experience in Theoretical Computer Science.

Interests
  • 3D Computer Vision
  • Reconstruction, Scene Understanding
  • Pose Estimation
Education

  • (Expected) Ph.D. in Computer Science and Engineering, 2023 - Current

    University of Washington

  • B.Eng. in Computer Science and Technology, 2019 - 2023

    University of Science and Technology of China

Publications/Preprints

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Yichuan Deng, Zhao Song, Omri Weinstein (2025). Discrepancy Minimization in Input-Sparsity Time. Spotlight at International Conference on Machine Learning (ICML) 2025.

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Etash Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Others (2025). OpenThoughts: Data Recipes for Reasoning Models. Oral presentation at FoRLM workshop @ NeurIPS 2025.

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Yichuan Deng, Zhao Song, Zifan Wang, Han Zhang (2025). Streaming Kernel PCA Algorithm With Small Space. Conference on Parsimony and Learning (CPAL).

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Yichuan Deng, Zhihang Li, Sridhar Mahadevan, Zhao Song (2024). Zero-th order algorithm for softmax attention optimization. , 24–33.

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Yichuan Deng, Yeqi Gao, Zhao Song (2023). Solving tensor low cycle rank approximation. , 6–16.

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