Zobrazeno 1 - 10
of 82 688
pro vyhledávání: '"Yufeng An"'
Autor:
Linxiao Wang, Xiaoling Huang, Shidi Xu, Yufeng An, Xinya Lv, Wufu Zhu, Shan Xu, Yuanbiao Tu, Shuhui Chen, Qiaoli Lv, Pengwu Zheng
Publikováno v:
BMC Chemistry, Vol 18, Iss 1, Pp 1-14 (2024)
Abstract Background Facing the significant challenge of overcoming drug resistance in cancer treatment, particularly resistance caused by mutations in epidermal growth factor receptor (EGFR), the aim of our study was to identify potent EGFR inhibitor
Externí odkaz:
https://doaj.org/article/dc1948ba5a58471095b3f8bb7ecc4a8e
Autor:
Zhiwei Li, Yinghong Xu, Langyuan Wu, Yufeng An, Yao Sun, Tingting Meng, Hui Dou, Yimin Xuan, Xiaogang Zhang
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Low-grade heat conversion has recently emerged and displayed great promise in sustainable electronics and energy areas. Here, the authors propose a new zinc ion thermal charging cell with hybrid behaviours for high value-added conversion from heat to
Externí odkaz:
https://doaj.org/article/5f53dc9b8b934d86b12a1a82ba51a7c1
Autor:
Pan, Yu, Sun, Jianxin, Yu, Hongfeng, Luck, Joe, Bai, Geng, Chamara, Nipuna, Ge, Yufeng, Awada, Tala
Current agricultural data management and analysis paradigms are to large extent traditional, in which data collecting, curating, integration, loading, storing, sharing and analyzing still involve too much human effort and know-how. The experts, resea
Externí odkaz:
http://arxiv.org/abs/2411.00188
Recent advancements in medical imaging have resulted in more complex and diverse images, with challenges such as high anatomical variability, blurred tissue boundaries, low organ contrast, and noise. Traditional segmentation methods struggle to addre
Externí odkaz:
http://arxiv.org/abs/2410.23738
In the rapid advancement of artificial intelligence, privacy protection has become crucial, giving rise to machine unlearning. Machine unlearning is a technique that removes specific data influences from trained models without the need for extensive
Externí odkaz:
http://arxiv.org/abs/2410.23693
This paper introduces a framework for an indoor autonomous mobility system that can perform patient transfers and materials handling. Unlike traditional systems that rely on onboard perception sensors, the proposed approach leverages a global percept
Externí odkaz:
http://arxiv.org/abs/2410.22527
Autor:
Chen, Guanyan, Wang, Meiling, Cui, Te, Mu, Yao, Lu, Haoyang, Zhou, Tianxing, Peng, Zicai, Hu, Mengxiao, Li, Haizhou, Li, Yuan, Yang, Yi, Yue, Yufeng
Visual imitation learning (VIL) provides an efficient and intuitive strategy for robotic systems to acquire novel skills. Recent advancements in Vision Language Models (VLMs) have demonstrated remarkable performance in vision and language reasoning c
Externí odkaz:
http://arxiv.org/abs/2410.20927
Autor:
Zhang, Zongmeng, Shi, Yufeng, Zhu, Jinhua, Zhou, Wengang, Qi, Xiang, Zhang, Peng, Li, Houqiang
Publikováno v:
Proceedings of the 41st International Conference on Machine Learning, PMLR 235:59827-59850, 2024
Trustworthiness is an essential prerequisite for the real-world application of large language models. In this paper, we focus on the trustworthiness of language models with respect to retrieval augmentation. Despite being supported with external evid
Externí odkaz:
http://arxiv.org/abs/2410.16843
Recent studies have shown that many nonconvex machine learning problems meet a so-called generalized-smooth condition that extends beyond traditional smooth nonconvex optimization. However, the existing algorithms designed for generalized-smooth nonc
Externí odkaz:
http://arxiv.org/abs/2410.14054
Subwavelength grating micro-polarizer arrays, as a type of focal plane division simultaneous detection method, are significantly advancing the development and practical application of polarization imaging technology. Based on the cross-scale, dual-pe
Externí odkaz:
http://arxiv.org/abs/2410.12573