9 papers indexed
ziqian wu, Songxiu Li, Siyu Ouyang, J Hu, Yuan Qiang, Jie Ding, et al.
The early identification of early allograft dysfunction (EAD) and the long-term prediction of graft-related adverse event-free survival (GRAEFS) are crucial for effective post-transplant management. The study encompassed two complementary analyses: (1) an early hemodynamic assess…
ziqian wu, Songxiu Li, Siyu Ouyang, J Hu, Yuan Qiang, Jie Ding, et al.
The early identification of early allograft dysfunction (EAD) and the long-term prediction of graft-related adverse event-free survival (GRAEFS) are crucial for effective post-transplant management. The study encompassed two complementary analyses: (1) an early hemodynamic assess…
Rong Lin Yan, Wei Wei, Zhen Huang
Industrial surface defect detection faces challenges of complex textures, diverse defect morphologies, and scarce labeled data, especially for non-woven fabrics. This paper proposes a dual-domain reverse distillation algorithm for unsupervised defect detection (DDRD). The algorit…
Chaofan Pan, Lingfei Ren, Xiangyu Jiang, Yanhua Li, Xuemei Cao, Xiangkun Wang, et al.
Offline Reinforcement Learning (RL) agents are trained on fixed behavioral trajectories, which makes trajectory-level deletion important when selected data must be removed after training. Evaluating such deletion is difficult because a lower membership score can reflect trajector…
Xinzhuo Li, Xianghui Pan, Jiayuan Du, Wei Wei, Liuyi Wang, Chengju Liu, et al.
Vision-centric 3D occupancy prediction provides dense scene representations essential for autonomous driving and robotic navigation, yet existing methods struggle to scale to high voxel resolutions due to prohibitive computational costs. To address this, we introduce GaussianSeed…
Minghao Liu, Yu Wang, Jiayun Wang, Wei Wei
A self-evolving agentic loop repeatedly proposes a tweaked version of an agent (its prompt template or program) and accepts or rejects the change based on a per-iteration quality signal. Designing that signal is often the costly part of the project: a reliable scalar reward requi…
Jinjian Wu, Jiaqi Tang, Wei Wei, Yingying Yan, Jianmin Chen, Botong Geng, et al.
Image Quality Assessment (IQA) in open-world environments remains challenging due to limited generalization and interpretability. Recent approaches based on multimodal large language models (MLLMs) introduce textual reasoning for quality prediction, yet their judgments rely heavi…
Runhan Shi, Quan Zhou, Yuqian Xu, Shuai Yang, Xin Wu, Zitong Zhou, et al.
Large language models (LLMs) are increasingly deployed in online medical consultation, yet existing benchmarks remain poorly aligned with real clinical practice. Many rely on synthetic conversations or patient simulators, omit patient-uploaded medical images, or evaluate open-end…
Hang Fan, Weican Liu, Ying Lu, Dunnan Liu, Long Cheng, Wei Wei
Accurate photovoltaic (PV) power forecasting is essential for reliable grid dispatch and renewable energy integration, yet it remains challenging because PV generation is jointly shaped by weather variability, day-night transitions, regime-dependent dynamics, and strict physical…