Yanran Zhang

Single-cell RNA Sequencing Analysis Reveals That Targeting PLG–PLGRKT Signaling-mediated Pro-fibrotic Scar-associated Macrophages Ameliorates Liver Fibrosis in Biliary Atresia

Xin Li, Tengfei Li, Shaowen Liu, Qianhui Yang et autres

Biliary atresia (BA) is a severe pediatric cholangiopathy characterized by rapidly progressive liver fibrosis. This study aimed to characterize scar-associated macrophages and investigate the role of PLG–PLGRKT signaling in BA-associated fibrogenesis.

cn (code pays fourni par la source)

An interpretable machine learning model for outpatient referral risk assessment in pediatric biliary atresia after Kasai portoenterostomy

Yanran Zhang, Xingyuan Ke, Jiaying Liu, Qianhui Yang et autres

OBJECTIVES: To develop an interpretable model using routine outpatient data to assist risk stratification and referral assessment in children with biliary atresia (BA) after Kasai portoenterostomy (KPE). METHODS: This multicenter retrospective study included 512 children with type III BA who underwent KPE …

cn, sa (code pays fourni par la source)

Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation

Zekai Zhang, Jiahao Li, Jie Zhang, Kaiyuan Gao et autres

While text-to-image (T2I) models have achieved remarkable progress, they struggle with real-world requests that are often underspecified, implicit, or dependent on up-to-date knowledge. We identify this challenge as the Context Gap: the mismatch between the user context and the sufficient generation context …

Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation

Zekai Zhang, Jiahao Li, Jie Zhang, Kaiyuan Gao et autres

While text-to-image (T2I) models have achieved remarkable progress, they struggle with real-world requests that are often underspecified, implicit, or dependent on up-to-date knowledge. We identify this challenge as the Context Gap: the mismatch between the user context and the sufficient generation context …

Qwen-Image-2.0-RL Technical Report

Yan Xu, Kaiyuan Gao, Yuxiang Chen, Yilei Chen et autres

We present Qwen-Image-2.0-RL, a post-training pipeline that applies reinforcement learning from human feedback (RLHF) and on-policy distillation (OPD) to improve both the visual quality and instruction-following capability of the Qwen-Image-2.0 diffusion model. To provide reliable reward signals, we construct task-specific composite reward …

Qwen-Image-2.0-RL Technical Report

Yan Xu, Kaiyuan Gao, Yuxiang Chen, Yilei Chen et autres

We present Qwen-Image-2.0-RL, a post-training pipeline that applies reinforcement learning from human feedback (RLHF) and on-policy distillation (OPD) to improve both the visual quality and instruction-following capability of the Qwen-Image-2.0 diffusion model. To provide reliable reward signals, we construct task-specific composite reward …

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation

Jie Zhang, Xiaoyue Chen, Anzhe Chen, Dayiheng Liu et autres

We introduce Qwen-RobotWorld, a language-conditioned video world model for embodied intelligence. With natural language as a unified action interface, it predicts physically grounded future visual trajectories from current observations across robotic manipulation, autonomous driving, indoor navigation, and human-to-robot transfer. This unified formulation …

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation

Jie Zhang, Xiaoyue Chen, Anzhe Chen, D Liu et autres

We introduce Qwen-RobotWorld, a language-conditioned video world model for embodied intelligence. With natural language as a unified action interface, it predicts physically grounded future visual trajectories from current observations across robotic manipulation, autonomous driving, indoor navigation, and human-to-robot transfer. This unified formulation …

Potential categories and symptom network analysis of kinesiophobia in patients undergoing coronary artery bypass grafting

HAN Shu, SHANG Quanwei, Yanran Zhang, Meihua Yang et autres

ObjectiveTo explore the potential categories of kinesiophobia in patients undergoing coronary artery bypass grafting(CABG) and to conduct symptom network analysis to identify core symptoms in different categories symptom networks.MethodsUsing convenience sampling,patients who underwent coronary artery bypass grafting in the cardiovascular surgery department …

Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation

Niantong Li, Guangzheng Hu, Weixu Qiao, Ying Ba et autres

Text-to-Image generation has evolved from basic image synthesis into a frequently used core capability in professional creative workflows, where simple text-image alignment can no longer satisfy users' pressing demands for faithful real-world reconstruction and genuine creative expression. Existing benchmarks, however, remain anchored …

Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation

Niantong Li, Guangzheng Hu, Weixu Qiao, Ying Ba et autres

Text-to-Image generation has evolved from basic image synthesis into a frequently used core capability in professional creative workflows, where simple text-image alignment can no longer satisfy users' pressing demands for faithful real-world reconstruction and genuine creative expression. Existing benchmarks, however, remain anchored …

Qwen-Image-VAE-2.0 Technical Report

Zekai Zhang, Deqing Li, Kuan Cao, Yujia Wu et autres

We present Qwen-Image-VAE-2.0, a suite of high-compression Variational Autoencoders (VAEs) that achieve significant advances in both reconstruction fidelity and diffusability. To address the reconstruction bottlenecks of high compression, we adopt an improved architecture featuring Global Skip Connections (GSC) and expanded latent channels. …