15 papers indexed
Qinqin Shu, Min Tang, Qi Si, J F Xu, Yan Li
Background Enteral feeding tolerance during vasopressor therapy remains uncertain, particularly within the moderate-dose gray zone. This preregistered analysis tested whether pre-feeding arterial lactate modifies the dose–response relationship between norepinephrine-equivalent do…
Nana Guo, Xianlei Zhou, Ziyi Pang, Yan Li, Caixiao Jiang, Minghao Geng, et al.
Introduction Coronavirus disease 2019 (COVID-19) shows prominent clinical heterogeneity, presenting two distinct clinical phenotypes including asymptomatic infection and severe symptomatic disease, yet the molecular mechanisms driving such phenotypic differences remain unclear. T…
Ting Zhang, Ziyun Li, Z J Zhang, Mai Gao, Li Zhang, H Liu, et al.
BACKGROUND: Early-life growth trajectories, especially during the first two years, are important for future health. However, in the context of rapidly rising childhood obesity, it is essential to characterize BMI-for-age Z-score (BAZ) trajectories in early childhood, compare opti…
Wenbin Duan, Yan Shu, Zhuoyuan Fu, Fangmin Zhao, Yan Li, Yaru Zhao, et al.
Rectified-flow-based diffusion transformers, particularly FLUX, have demonstrated outstanding performance in high-quality image generation. However, achieving fast and accurate inversion--transforming images back to latent noise for faithful reconstruction and editing--remains a…
Yong Liu, Xiaolong Fu, Zihang Xu, Wen Xue, Xueheng Li, Lin Song, et al.
We present Oxygen-TryOn, a unified foundation model for any-item virtual try-on. Rather than repurposing a general-purpose image editor, Oxygen-TryOn is fashion-native, built for try-on through a dedicated data engine and try-on-specific training. Given one or more reference item…
Zhuoyuan Fu, Zeshang Li, Yiqiong Zhang, Hangui Lin, Yan Shu, Yan Li, et al.
While Multimodal Large Language Models (MLLMs) have demonstrated remarkable success in 2D medical image understanding, their extension to 3D volumetric imaging remains hindered by prohibitive annotation costs and dataset opacity. Current data formats, predominantly consisting of…
Yan Li, Xiaohua Yang, Weiqi Xiang, Dehui Bian
Human settlement quality is a key dimension of sustainable urban development, yet its spatiotemporal evolution and associated mechanisms remain insufficiently understood, particularly under rapid urbanization and regional inequality. This study aims to evaluate the Human Settleme…
Guanhua Ye, Niu Jingbin, Yan Li, Meiyu Liang, Zhe Xue, Yingxia Shao, et al.
Short-answer VQA benchmarks conflate two distinct quantities: whether a model's answer is semantically correct, and whether that answer matches the surface form expected by the automatic evaluator. We study this conflation across six vision--language models and six benchmarks, us…
Yawen Li, Yan Li, Zhe Xue, Yingxia Shao, Meiyu Liang, Guanhua Ye
Medical imaging models are often deployed without the demographic, acquisition, and quality metadata needed for subgroup auditing. Once those metadata disappear, clinically critical failure modes can be masked by strong aggregate performance, and many robust-learning methods lose…
Yifan Zhou, Qihao Yang, Yan Li, Donggang Li, Xiru Hu, Hokin Deng, et al.
Scientific ideas rarely start from a blank page. They inherit mechanisms, repair known limitations, and recombine pieces of earlier work, much like biological genomes. Current benchmarks still say little about whether AI systems can follow this inheritance structure. We present I…
Xuepeng Liu, Zetong Liu, Renyiming Li, Yan Li, Ruiyu Li, Ruili Li, et al.
Low-dose computed tomography (LDCT) reduces radiation exposure but introduces stronger quantum noise, streak artifacts, and local texture degradation, which can obscure anatomical boundaries and weaken low-contrast structures. Diffusion models are promising for LDCT denoising by…
Qi Xun Yeo, Seungjun Lee, Yan Li, Gim Hee Lee
Classic 3D scene graph generation approaches fail to work in real-time due to the heavy computational cost of environment mapping and the need to generate intermediate point-cloud representations. To alleviate this issue, a recent work eschews point clouds in favor of a lightweig…
Zipeng Guo, Xiaoan Liu, Lichen Ma, Cheng Wang, Yu He, Xiaolong Fu, et al.
Real-world e-commerce image editing often requires multiple, localized, and auditable operations rather than global restyling. This compositional nature poses a dual challenge: models must precisely apply all requested edits to the correct regions while preserving unmodified cont…
Xuepeng Liu, Ruili Li, Zetong Liu, Renyiming Li, Yan Li, Yin Dai, et al.
Positron emission tomography (PET) provides essential functional information for disease assessment, however reducing injected activity or acquisition time produces low-dose (LD) PET with stronger count dependent noise and less reliable uptake quantification. Diffusion models off…
Zipeng Guo, Lichen Ma, Yu He, Xiaolong Fu, Jingling Fu, Junshi Huang, et al.
End-to-end pixel-space diffusion models bypass the lossy compression of Latent Diffusion Models (LDMs) but struggle to jointly model low-frequency semantics and high-frequency signals in high-dimensional space. Existing works heavily rely on complex pixel decoders to alleviate th…