Zobrazeno 1 - 10
of 2 415
pro vyhledávání: '"GU Bin"'
Publikováno v:
Redai dili, Vol 44, Iss 3, Pp 505-519 (2024)
Using the Pearl River Delta urban agglomeration as the research area, this study comprehensively uses an interlocking network model and social network analysis to construct a network based on the headquarters branch data of digital economy listed ent
Externí odkaz:
https://doaj.org/article/1e927e62dd6e4e22871ed567f749e4bb
Publikováno v:
IEEE Access, Vol 11, Pp 35255-35280 (2023)
Faced with the impact of the coronavirus disease (COVID-19) pandemic, governments must protect the well-being of the population. Aside from considerations, such as keeping the virus from spreading and treating patients, the government should also be
Externí odkaz:
https://doaj.org/article/ef0207bfd57e4877ae75b03ff537e196
Autor:
You Jianquan, Qian Fei, Huang Yu, Guo Yingxuan, Lv Yaqian, Yang Yuqi, Lu Xiupan, Guo Ting, Wang Jun, Gu Bin
Publikováno v:
Open Medicine, Vol 17, Iss 1, Pp 1338-1349 (2022)
This study aimed to investigate the role and mechanism of long non-coding RNA (lncRNA) WT1 antisense RNA (WT1-AS) in cerebral ischemic stroke. The Starbase database and dual-luciferase reporter gene assay were used to analyze the interaction between
Externí odkaz:
https://doaj.org/article/ba886c2fde1c420cb6293e877ac0c31b
The growing use of large language models (LLMs) has raised concerns regarding their safety. While many studies have focused on English, the safety of LLMs in Arabic, with its linguistic and cultural complexities, remains under-explored. Here, we aim
Externí odkaz:
http://arxiv.org/abs/2410.17040
Publikováno v:
Neural Computation, 2024, 36(5): 897-935
Zeroth-order (ZO) optimization is one key technique for machine learning problems where gradient calculation is expensive or impossible. Several variance reduced ZO proximal algorithms have been proposed to speed up ZO optimization for non-smooth pro
Externí odkaz:
http://arxiv.org/abs/2410.02559
Publikováno v:
International Conference on Machine Learning. PMLR, 2022: 19935-19955
Zeroth-order (ZO) method has been shown to be a powerful method for solving the optimization problem where explicit expression of the gradients is difficult or infeasible to obtain. Recently, due to the practical value of the constrained problems, a
Externí odkaz:
http://arxiv.org/abs/2409.00459
Publikováno v:
Proceedings of the 41st International Conference on Machine Learning, PMLR 235:44838-44864, 2024
Bilevel optimization (BO) has recently gained prominence in many machine learning applications due to its ability to capture the nested structure inherent in these problems. Recently, many hypergradient methods have been proposed as effective solutio
Externí odkaz:
http://arxiv.org/abs/2406.17386
Evolution Strategies (ES) have emerged as a competitive alternative for model-free reinforcement learning, showcasing exemplary performance in tasks like Mujoco and Atari. Notably, they shine in scenarios with imperfect reward functions, making them
Externí odkaz:
http://arxiv.org/abs/2405.01615
Large language models (LLMs) has experienced exponential growth, they demonstrate remarkable performance across various tasks. Notwithstanding, contemporary research primarily centers on enhancing the size and quality of pretraining data, still utili
Externí odkaz:
http://arxiv.org/abs/2404.08885
Continuous graph neural networks (CGNNs) have garnered significant attention due to their ability to generalize existing discrete graph neural networks (GNNs) by introducing continuous dynamics. They typically draw inspiration from diffusion-based me
Externí odkaz:
http://arxiv.org/abs/2404.01897