Zobrazeno 1 - 10
of 2 083
pro vyhledávání: '"LIU, Qingyun"'
Autor:
Bao, Zhijie, Liu, Qingyun, Guo, Ying, Ye, Zhengqiang, Shen, Jun, Xie, Shirong, Peng, Jiajie, Huang, Xuanjing, Wei, Zhongyu
In China, receptionist nurses face overwhelming workloads in outpatient settings, limiting their time and attention for each patient and ultimately reducing service quality. In this paper, we present the Personalized Intelligent Outpatient Reception
Externí odkaz:
http://arxiv.org/abs/2411.13902
Autor:
Wang, Meng, Lin, Tian, Lin, Aidi, Yu, Kai, Peng, Yuanyuan, Wang, Lianyu, Chen, Cheng, Zou, Ke, Liang, Huiyu, Chen, Man, Yao, Xue, Zhang, Meiqin, Huang, Binwei, Zheng, Chaoxin, Zhang, Peixin, Chen, Wei, Luo, Yilong, Chen, Yifan, Xia, Honghe, Shi, Tingkun, Zhang, Qi, Guo, Jinming, Chen, Xiaolin, Wang, Jingcheng, Tham, Yih Chung, Liu, Dianbo, Wong, Wendy, Thakur, Sahil, Fenner, Beau, Fang, Danqi, Liu, Siying, Liu, Qingyun, Huang, Yuqiang, Zeng, Hongqiang, Meng, Yanda, Zhou, Yukun, Jiang, Zehua, Qiu, Minghui, Zhang, Changqing, Chen, Xinjian, Wang, Sophia Y, Lee, Cecilia S, Sobrin, Lucia, Cheung, Carol Y, Pang, Chi Pui, Keane, Pearse A, Cheng, Ching-Yu, Chen, Haoyu, Fu, Huazhu
Previous foundation models for retinal images were pre-trained with limited disease categories and knowledge base. Here we introduce RetiZero, a vision-language foundation model that leverages knowledge from over 400 fundus diseases. To RetiZero's pr
Externí odkaz:
http://arxiv.org/abs/2406.09317
Autor:
Liu, Zichang, Liu, Qingyun, Li, Yuening, Liu, Liang, Shrivastava, Anshumali, Bi, Shuchao, Hong, Lichan, Chi, Ed H., Zhao, Zhe
Recent advancements in foundation models have yielded impressive performance across a wide range of tasks. Meanwhile, for specific applications, practitioners have been developing specialized application models. To enjoy the benefits of both kinds of
Externí odkaz:
http://arxiv.org/abs/2402.14035
Autor:
Roh, Yuji, Liu, Qingyun, Gui, Huan, Yuan, Zhe, Tang, Yujin, Whang, Steven Euijong, Liu, Liang, Bi, Shuchao, Hong, Lichan, Chi, Ed H., Zhao, Zhe
Fine-tuning is becoming widely used for leveraging the power of pre-trained foundation models in new downstream tasks. While there are many successes of fine-tuning on various tasks, recent studies have observed challenges in the generalization of fi
Externí odkaz:
http://arxiv.org/abs/2402.04644
Many recent breakthroughs in machine learning have been enabled by the pre-trained foundation models. By scaling up model parameters, training data, and computation resources, foundation models have significantly advanced the state-of-the-art in many
Externí odkaz:
http://arxiv.org/abs/2310.03188
Autor:
Luo, Honglin, Zhang, Yongde, Liu, Fuyan, Zhao, Yongzhen, Peng, Jinxia, Xu, Yuhui, Chen, Xiuli, Huang, Yin, Ji, Changmian, Liu, Qingyun, He, Pingping, Feng, Pengfei, Yang, Chunling, Wei, Pinyuan, Ma, Zhenhua, Qin, Jianguang, Zhou, Shengjie, Dai, Shiming, Zhang, Yaoyao, Zhao, Zhongquan, Liu, Hongling, Zheng, Hongkun, Zhang, Jisen, Lin, Yong, Chen, Xiaohan
Publikováno v:
In Journal of Advanced Research November 2024 65:1-17
Publikováno v:
In Advanced Engineering Informatics October 2024 62 Part A
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 20 January 2025 705 Part 2
Publikováno v:
In Talanta 1 January 2025 281
Autor:
Yin, Jinfeng, Yan, Guangxuan, Qin, Liyi, Zhu, Chendi, Fan, Jun, Li, Yuwei, Jia, Junnan, Wu, Zhaojun, Jiang, Hui, Khan, Muhammad Tahir, Wu, Jiangdong, Chu, Naihui, Takiff, Howard E., Gao, Qian, Qin, Shibing, Liu, Qingyun, Li, Weimin
Publikováno v:
In Tuberculosis September 2024 148