Zobrazeno 1 - 10
of 9 062
pro vyhledávání: '"Wei, Lai"'
Autor:
Wei, Lai, Ying, Zhen, He, Muyang, Chen, Yutong, Yang, Qian, Hong, Yanzhe, Lu, Jiaping, Li, Xiaoying, Huang, Weiran, Chen, Ying
Diabetes is a chronic disease that poses a significant global health burden, and optimizing diabetes management requires multi-stakeholder collaboration. Large language models (LLMs) have shown promise in various healthcare scenarios, but their effec
Externí odkaz:
http://arxiv.org/abs/2409.13191
This paper presents a secure wire-line telephone system that employs physical layer security (PLS) to protect against wiretapping. The system generates artificial noise (AN) in both transmission directions and uses a telephone hybrid circuit to effec
Externí odkaz:
http://arxiv.org/abs/2408.13435
Autor:
Zhu, Jiangning, Wang, Zheng, Shen, Zhiyang, Wei, Lai, Tian, Fengyuan, Liu, Mengchen, Liu, Shixia
Matrix reordering permutes the rows and columns of a matrix to reveal meaningful visual patterns, such as blocks that represent clusters. A comprehensive collection of matrices, along with a scoring method for measuring the quality of visual patterns
Externí odkaz:
http://arxiv.org/abs/2408.12169
Autor:
Wei, Lai, Omee, Sadman Sadeed, Dong, Rongzhi, Fu, Nihang, Song, Yuqi, Siriwardane, Edirisuriya M. D., Xu, Meiling, Wolverton, Chris, Hu, Jianjun
Crystal structure prediction (CSP) is now increasingly used in discovering novel materials with applications in diverse industries. However, despite decades of developments and significant progress in this area, there lacks a set of well-defined benc
Externí odkaz:
http://arxiv.org/abs/2407.00733
Large language models (LLMs) have achieved remarkable progress in linguistic tasks, necessitating robust evaluation frameworks to understand their capabilities and limitations. Inspired by Feynman's principle of understanding through creation, we int
Externí odkaz:
http://arxiv.org/abs/2406.06140
Causal discovery aims to uncover cause-and-effect relationships encoded in causal graphs by leveraging observational, interventional data, or their combination. The majority of existing causal discovery methods are developed assuming infinite interve
Externí odkaz:
http://arxiv.org/abs/2405.11548
Computational prediction of stable crystal structures has a profound impact on the large-scale discovery of novel functional materials. However, predicting the crystal structure solely from a material's composition or formula is a promising yet chall
Externí odkaz:
http://arxiv.org/abs/2404.04810
For relaxor-ferroelectrics and relaxor-ferromagnets, Ehrenfest classification of phase transitions based on the discontinuity of entropy or specific heat etc. with temperature (T) gives no transition that contradicts the measured order parameter, i.e
Externí odkaz:
http://arxiv.org/abs/2404.12393
Large language models (LLMs) have revolutionized the field of natural language processing, extending their strong capabilities into multi-modal domains. Thus, it is vital to define proper and diversified metrics for the evaluation of LLMs. In this pa
Externí odkaz:
http://arxiv.org/abs/2401.17139
Autor:
Wei, Lai, Song, Shanshan
Multiview subspace clustering (MVSC) has attracted an increasing amount of attention in recent years. Most existing MVSC methods first collect complementary information from different views and consequently derive a consensus reconstruction coefficie
Externí odkaz:
http://arxiv.org/abs/2403.08787