Chaofan Sun — accepted AI-conference papers

2025

CO2-Net: A Physics-Informed Spatio-Temporal Model for Global Surface CO2 Reconstruction

Hao Zheng, Yuting Zheng, Hanbo Huang, Chaofan Sun, Enhui Liao, Lin Liu +3

ICCV 2025poster

Reconstructing atmospheric surface \text CO _2 is crucial for understanding climate dynamics and informing global mitigation strategies. Traditional inversion models achieve precise global \text CO _2 reconstruction but rely heavily on uncertain prior estimates of fluxes and emissions. Inspired by r…

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2025

NUTS: Eddy-Robust Reconstruction of Surface Ocean Nutrients via Two-Scale Modeling

Hao Zheng, Shiyu Liang, Yuting Zheng, Chaofan Sun, LEI BAI, Enhui Liao

NeurIPS 2025poster

Reconstructing ocean surface nutrients from sparse observations is critical for understanding long-term biogeochemical cycles. Most prior work focuses on reconstructing atmospheric fields and treats the reconstruction problem as image inpainting, assuming smooth, single-scale dynamics. In contrast,…

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