Zobrazeno 1 - 10
of 2 647
pro vyhledávání: '"Bo, Shi"'
Autor:
Xiao, Minheng, Bo, Shi
Imbalanced datasets pose significant challenges in areas including neuroscience, cognitive science, and medical diagnostics, where accurately detecting minority classes is essential for robust model performance. This study addresses the issue of clas
Externí odkaz:
http://arxiv.org/abs/2408.08979
Autor:
Bo, Shi, Xiao, Minheng
This paper presents a novel approach to root cause attribution of delivery risks within supply chains by integrating causal discovery with reinforcement learning. As supply chains become increasingly complex, traditional methods of root cause analysi
Externí odkaz:
http://arxiv.org/abs/2408.05860
This study introduces a pioneering Dynamic Hypergraph Networks (DHCE) model designed to predict future medical diagnoses from electronic health records with enhanced accuracy. The DHCE model innovates by identifying and differentiating acute and chro
Externí odkaz:
http://arxiv.org/abs/2408.07084
This paper advances a novel architectural schema anchored upon the Transformer paradigm and innovatively amalgamates the K-means categorization algorithm to augment the contextual apprehension capabilities of the schema. The transformer model perform
Externí odkaz:
http://arxiv.org/abs/2408.04216
The behavior decision-making subsystem is a key component of the autonomous driving system, which reflects the decision-making ability of the vehicle and the driver, and is an important symbol of the high-level intelligence of the vehicle. However, t
Externí odkaz:
http://arxiv.org/abs/2408.03084
This paper introduces the Multiple Greedy Quasi-Newton (MGSR1-SP) method, a novel approach to solving strongly-convex-strongly-concave (SCSC) saddle point problems. Our method enhances the approximation of the squared indefinite Hessian matrix inhere
Externí odkaz:
http://arxiv.org/abs/2408.00241
Autor:
Liu, Yanming, Peng, Xinyue, Bo, Shi, Sang, Ningjing, Yan, Yafeng, Ke, Xiaolan, Zheng, Zhiting, Liu, Shaobo, Deng, Songhang, Cao, Jiannan, Dai, Le, Liu, Xingzu, Nong, Ruilin, Liu, Weihao
Large language models(LLMs) have shown its outperforming ability on various tasks and question answering. However, LLMs require substantial memory storage on low-resource devices. More critically, the computational speed on these devices is also seve
Externí odkaz:
http://arxiv.org/abs/2403.07088
Autor:
Xin‐Yu Zhang, Jian‐Bo Shi, Shu‐Fang Jin, Rui‐Jie Wang, Ming‐Yu Li, Zhi‐Yuan Zhang, Xi Yang, Hai‐Long Ma
Publikováno v:
Cancer Communications, Vol 44, Iss 6, Pp 670-694 (2024)
Abstract Background Metabolic reprograming and immune escape are two hallmarks of cancer. However, how metabolic disorders drive immune escape in head and neck squamous cell carcinoma (HNSCC) remains unclear. Therefore, the aim of the present study w
Externí odkaz:
https://doaj.org/article/e4dff3e90aa34ecf882fb99667f7199a
Autor:
Lisi Wei, Xiaoli Guo, Ehud Haimov, Kazuki Obashi, Sung Hoon Lee, Wonchul Shin, Min Sun, Chung Yu Chan, Jiansong Sheng, Zhen Zhang, Ammar Mohseni, Sudhriti Ghosh Dastidar, Xin-Sheng Wu, Xin Wang, Sue Han, Gianvito Arpino, Bo Shi, Maryam Molakarimi, Jessica Matthias, Christian A. Wurm, Lin Gan, Justin W. Taraska, Michael M. Kozlov, Ling-Gang Wu
Publikováno v:
Cell Discovery, Vol 10, Iss 1, Pp 1-24 (2024)
Abstract Membrane budding, which underlies fundamental processes like endocytosis, intracellular trafficking, and viral infection, is thought to involve membrane coat-forming proteins, including the most observed clathrin, to form Ω-shape profiles a
Externí odkaz:
https://doaj.org/article/518300501f89466182891e0cc4c55801
Publikováno v:
Cell & Bioscience, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Background The adult intestinal epithelium is a complex, self-renewing tissue composed of specialized cell types with diverse functions. Intestinal stem cells (ISCs) located at the bottom of crypts, where they divide to either self-renew, or
Externí odkaz:
https://doaj.org/article/448371cac9694777a9530ddc50b06c00