Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Sun, Zhoujian"'
We study the nonadiabatic dynamics of a two-dimensional higher-order topological insulator when the system is slowly quenched across the boundary-obstructed phase transition, which is characterized by edge band gap closing. We find that the number of
Externí odkaz:
http://arxiv.org/abs/2407.18256
The development of large language models (LLMs) has brought unprecedented possibilities for artificial intelligence (AI) based medical diagnosis. However, the application perspective of LLMs in real diagnostic scenarios is still unclear because they
Externí odkaz:
http://arxiv.org/abs/2404.04292
Publikováno v:
Phys. Rev. B 109 (2024) 035119
The scalefree non-Hermitian skin effect (NHSE) refers to the phenomenon that the localization length of skin modes scales proportionally with system size in non-Hermitian systems. Authors of recent studies have demonstrated that the scalefree NHSE ca
Externí odkaz:
http://arxiv.org/abs/2311.14302
Non-communicable disease is the leading cause of death, emphasizing the need for accurate prediction of disease progression and informed clinical decision-making. Machine learning (ML) models have shown promise in this domain by capturing non-linear
Externí odkaz:
http://arxiv.org/abs/2308.09735
Policy learning (PL) is a module of a task-oriented dialogue system that trains an agent to make actions in each dialogue turn. Imitating human action is a fundamental problem of PL. However, both supervised learning (SL) and reinforcement learning (
Externí odkaz:
http://arxiv.org/abs/2305.03987
There has been a plethora of studies on domain wall dynamics in magnetic nanostrips, mainly because of its versatile non-linear physics and potential applications in data storage devices. However, most of the studies focus on out-of-plane domain wall
Externí odkaz:
http://arxiv.org/abs/2207.02494
Dialogue state tracking (DST) is a component of the task-oriented dialogue system. It is responsible for extracting and managing slot values according to dialogue utterances, where each slot represents an essential part of the information to accompli
Externí odkaz:
http://arxiv.org/abs/2202.07156
Publikováno v:
In iScience 21 June 2024 27(6)
Objective: To combine medical knowledge and medical data to interpretably predict the risk of disease. Methods: We formulated the disease prediction task as a random walk along a knowledge graph (KG). Specifically, we build a KG to record relationshi
Externí odkaz:
http://arxiv.org/abs/2010.08300
Publikováno v:
In Journal of Biomedical Informatics December 2021 124