Zobrazeno 1 - 10
of 1 720
pro vyhledávání: '"ZHANG Yukun"'
Publikováno v:
电力工程技术, Vol 43, Iss 5, Pp 199-207 (2024)
Iron-based soft magnetic composites have the characteristics of high magnetic permeability, high magnetic induction strength and low iron loss. It is of great significance to study the vibration and noise characteristics of this material reactor for
Externí odkaz:
https://doaj.org/article/24eeb0be05d848f4a304354fcc67d40f
Publikováno v:
Frigid Zone Medicine, Vol 4, Iss 2, Pp 120-128 (2024)
The study aimed to explore the association between gut microbiota and anastomotic leakage (AL) after surgery in colorectal cancer (CRC) patients from a frigid zone, based on high-throughput sequencing.
Externí odkaz:
https://doaj.org/article/13cbe8535c474f598ced0054c258f489
Publikováno v:
Shipin Kexue, Vol 44, Iss 21, Pp 282-302 (2023)
Carotenoids and fat-soluble vitamins (C&FSV) belong to the group of highly lipophilic food components that have important effects on the body’s health, which are ingested mainly through consumption of foods. The knowledge about the intestinal absor
Externí odkaz:
https://doaj.org/article/40defda87a42476b993503c27da72158
Publikováno v:
Reviews on Advanced Materials Science, Vol 62, Iss 1, Pp pp. 706-727 (2023)
In this study, the properties of seawater volcanic scoria aggregate concrete (SVAC)-filled circular stainless steel (SFCST) and glass fibre-reinforced plastic (GFRP) tubes (SFCGT) were investigated. Ten groups were considered and 30 specimens were pr
Externí odkaz:
https://doaj.org/article/924d3d59300441a89e9bcbb690982e22
Efficient classical simulation of the Schrodinger equation is central to quantum mechanics, as it is crucial for exploring complex natural phenomena and understanding the fundamental distinctions between classical and quantum computation. Although si
Externí odkaz:
http://arxiv.org/abs/2409.04161
Autor:
Zhang, Yukun
This paper presents a novel unified theoretical framework for understanding Transformer architectures by integrating Partial Differential Equations (PDEs), Neural Information Flow Theory, and Information Bottleneck Theory. We model Transformer inform
Externí odkaz:
http://arxiv.org/abs/2408.09523
Autor:
Zhang, Yukun
This paper explores the application of Stochastic Differential Equations (SDE) to interpret the text generation process of Large Language Models (LLMs) such as GPT-4. Text generation in LLMs is modeled as a stochastic process where each step depends
Externí odkaz:
http://arxiv.org/abs/2408.11863
To improve the quality of experience (QoE) in video communication over lossy networks, this paper presents a transmission method that jointly optimizes buffer delay and Hybrid Automatic Repeat request (HARQ), referred to as BD-HARQ. This method opera
Externí odkaz:
http://arxiv.org/abs/2408.07957
Autor:
Zhang, Yukun
This study presents a novel approach that leverages Neural Ordinary Differential Equations (Neural ODEs) to unravel the intricate relationships between inputs and outputs in Large Language Models (LLMs), and employs robust control to fine-tune output
Externí odkaz:
http://arxiv.org/abs/2406.16985
The eigenvalue problem, a cornerstone in linear algebra, provides profound insights into studying matrix properties. Quantum algorithms addressing this problem have hitherto been constrained to special normal matrices assuming spectral decomposition,
Externí odkaz:
http://arxiv.org/abs/2401.12091