Shiran Yuan

I'm a teenager who loves doing quirky stuff! Currently doing a PhD at Tsinghua University. I received my Master's degree in Electronic Engineering and Computer Science (EECS) from UC Berkeley in 2025. Before that I received dual B.S. degrees with Full Scholarship and Senior Award from Duke University (in Applied Math and Computational Sciences) and Duke Kunshan University (in Computer Science and Technology).

My research focuses on the intersection between Computer Vision, Graphics, Machine Learning, and Applied Math. I've received the Best Paper Award at the International Conference on 3D Vision (3DV 2024), and was elected a Full Member of Sigma Xi, the Scientific Research Honor Society.

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Research

The first object-centric novel view synthesis model to be based on autoregressive modeling. It is several times faster than current models, exhibits significantly higher synthesis quality, scales with both model size and dataset size, and can be trained from scratch without any 2D generative base models.

Antialiasing gaussian splats using supersampling and numerical integration to reduce artifacts from changing sampling frequency.

A method combining implicit and explicit representations to achieve accurate species distribution models based on noisy presence-only data.

A framework for low-rank tensor completion that leverages both numerical priors and inter-element priors, with applications to image completion.

A single model can be slimmed at inference time to instantly achieve desired trade-offs between reconstruction quality and memory-efficiency.

Affiliations

Tsinghua University (Ph.D. Student)

Sigma Xi, The Scientific Research Honor Society (Full Member)

Previous Affiliations

University of California, Berkeley (M.Eng.'25)

Duke University (Dual B.S.'24)

Duke Kunshan University (Dual B.S.'24)

Yet another Jon Barron website!