3 papers indexed
Zuda Yu, Qianhui Xu, Ting Chen, Junhui Zhang, Tao Fu, Hongjiang Yu, et al.
Flow Matching (FM) has emerged as a powerful paradigm for speech generation but remains constrained by high inference latency and timbre leakage. To address these bottlenecks, we propose a unified guidance framework that enhances generation efficiency and robustness through two c…
Tao Song, Ting Chen, Yuan Gong, Yulin Wang, Lu Ran, Jiale Chen, et al.
In recent years, target inspection has found extensive utilization within the industry, making it crucial to detect defects in industrial products to ensure quality. To address the challenges posed by large brightness differences, attached dirt, and complex backgrounds in saggers…
Yeru Xia, Jingbang Liu, Kaili Wang, Ting Chen, Xiaoyan Gong, Lili Wu, et al.
TL;DR: Clinical nurses' GenAI learning needs are currently oriented toward practical, application-focused skills, and curriculum development may benefit from a phased approach that prioritizes high-impact practical skills while progressively incorporating foundational, ethical, and advanced competencies.
BACKGROUND Generative artificial intelligence (GenAI) is increasingly influencing nursing practice and education, yet a gap remains between technological advances and clinical nurses' competencies. Research from nurses' perspectives that systematically differentiates and prioriti…