An asterisk (*) denotes equal contribution.

[preprint] Aggregating LLM-Based Weak Verifiers for Spatial Layout Generation

Sharon Zhang, R. Kenny Jones, Jiajun Wu, Maneesh Agrawala

preprint (2026).

[arxiv]

Providing Rapid Design Feedback for 3D Obstacle Course Games Using Constrained Solvability Queries

Zander Majercik, Sharon Zhang, William Wang, Tejan Karmali, Fangjun Zhou, Yucheng Yuan, Jean-Peïc Chou, Maneesh Agrawala, Kayvon Fatahalian

SIGGRAPH Asia 2026.

Editing Motion Graphics Video via Motion Vectorization and Transformation

Sharon Zhang, Jiaju Ma, Jiajun Wu, Daniel Ritchie, Maneesh Agrawala

SIGGRAPH Asia 2023.

[paper] [arxiv] [project] [code]

Tree-Structured Shading Decomposition

Chen Geng*, Hong-Xing Yu*, Sharon Zhang, Maneesh Agrawala, Jiajun Wu

ICCV 2023.

[paper] [project] [code]

[Re] Don't Judge an Object By It's Context: Learning to Overcome Contextual Bias

Sunnie S. Y. Kim, Sharon Zhang, Nicole Meister, Olga Russakovsky

2020 ML Reproducibility Challenge (selected for publication in ReScience C journal).

[paper] [code]

Product Manifold Learning

Sharon Zhang, Amit Moscovich, Amit Singer

AISTATS 2021.

[paper] [code]

Cardinalities of Prime Spectra of Precompletions

Erica Barrett*, Emil Graf*, Kimball Strong*, Sharon Zhang*, S. Loepp

The AMS Contemporary Mathematics book series.

[paper]

Structure of Spectra of Precompletions

Erica Barrett*, Emil Graf*, Kimball Strong*, Sharon Zhang*, S. Loepp

The Rocky Mountain Journal of Mathematics.

[article] [arXiv]