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Xiaoming Li

6 papers indexed

openalexJournal of Translational Medicine2026-07-24

Interpretable machine learning model for brain metastasis in breast cancer: a large-scale, multi-center study

Quan Yuan, Yupeng Sha, Rui Yu, Hao Yu, Rongjie Ye, Yi Du, et al.

Brain metastasis (BM) is a devastating complication of breast cancer (BC) with a poor prognosis. Early identification of high-risk patients is essential but currently lacks accurate predictive tools. This study aimed to develop a stable machine learning model for predicting BM in…

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openalex˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23

Fine-Grained Urban Low-Altitude Airspace Gridding with Dynamic Event Response and Vertical Air-Route Corridors

Leyang Zhao, Hang Mei, Xing Lin, Weixi Wang, Xiaoming Li, Sichang Wang, et al.

Abstract. With the rapid growth of urban low-altitude applications, traditional airspace management approaches based on simple altitude limits and static no-fly zones can no longer meet the demands of high-density and highly dynamic operations. To address this issue, this study p…

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arxivcs.CV2026-07-08

ColorFM: An Optimization-to-Learning Framework for Color Transfer via Flow Matching

Yuhang He, Kai Zhang, Xiaoming Li, Du Chen, Jian Yang

Color transfer aims to align the color distribution of a source image with that of a reference image while preserving structural and semantic consistency. However, existing methods often suffer from inaccurate global mapping, semantic misalignment, and visual artifacts. To addres…

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arxivcs.CV2026-06-30

AnyBokeh: Physics-Guided Any-to-Any Bokeh Editing with Optical Fingerprint Transfer

Xinyu Hou, Xiaoming Li, Zongsheng Yue, Chen Change Loy

Depth-of-field control is a fundamental tool in photography, yet post-capture bokeh editing from a single image remains challenging. A practical editor should handle images captured under arbitrary focus and aperture settings. Existing methods typically assume an all-in-focus inp…

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arxivcs.CV2026-06-30

Anchoring on Reality: Breaking the Pseudo-Target Ceiling in Makeup Transfer

Bo Wei, Xianhui Lin, Yi Dong, Zhongzhong Li, Zonghui Li, Zirui Wang, et al.

Makeup transfer applies a reference cosmetic style to a source face while preserving its identity and geometry. However, this task is severely hindered by the lack of real paired training data. Current methods rely on either weak priors or synthetic pseudo-targets from large-scal…

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