Ya Wen — accepted AI-conference papers

2026

MoRA: Mobility as the Backbone for Geospatial Representation Learning at Scale

Ya Wen, Jixuan Cai, Qiyao Ma, Linyan Li, Xinhuan Chen, Chris Webster +1

ICLR 2026poster

Representation learning of geospatial locations remains a core challenge in achieving general geospatial intelligence, with increasingly diverging philosophies and techniques. While Earth observation paradigms excel at depicting locations in their physical states, we propose that a location’s full c…

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2025

beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation

Ming Hu, Jianfu Yin, Zhuangzhuang Ma, Jianheng Ma, Feiyu Zhu, Bingbing Wu +5

CVPR 2025poster

Co-training has achieved significant success in the field of semi-supervised learning; however, the *homogenization phenomenon*, which arises from multiple models tending towards similar decision boundaries, remains inadequately addressed. To tackle this issue, we propose a novel algorithm called **…

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