Zobrazeno 1 - 10
of 39 243
pro vyhledávání: '"Wang, Ping"'
Benchmark plays a pivotal role in assessing the advancements of large language models (LLMs). While numerous benchmarks have been proposed to evaluate LLMs' capabilities, there is a notable absence of a dedicated benchmark for assessing their musical
Externí odkaz:
http://arxiv.org/abs/2406.15885
Semantic communication (SemCom) has emerged as a new paradigm for 6G communication, with deep learning (DL) models being one of the key drives to shift from the accuracy of bit/symbol to the semantics and pragmatics of data. Nevertheless, DL-based Se
Externí odkaz:
http://arxiv.org/abs/2406.06644
Variable speed limit (VSL) control is an established yet challenging problem to improve freeway traffic mobility and alleviate bottlenecks by customizing speed limits at proper locations based on traffic conditions. Recent advances in deep reinforcem
Externí odkaz:
http://arxiv.org/abs/2405.09163
Dynamic characteristics of the railway ballast bed under water-rich and low-temperature environments
Studying the dynamic characteristics and evolution laws of the ballast bed under low-temperature, rain and snow environments has practical significance for the driving stability of railways in alpine. In this paper, a full-scale ballasted track model
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A83063
https://tud.qucosa.de/api/qucosa%3A83063/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A83063/attachment/ATT-0/
Autor:
Wang, Ping
Electronic Health Records (EHR) data contain comprehensive longitudinal patient information, which is usually stored in databases in the form of either multi-relational structured tables or unstructured texts, e.g., clinical notes. EHR provides a use
Externí odkaz:
http://hdl.handle.net/10919/104711
Autor:
Wang, Ping, Lian, Fuzhuo, Du, Renjun, Cai, Xiaofan, Bao, Song, Han, Yaqing, Xiao, Jingkuan, Watanabe, Kenji, Taniguchi, Takashi, Wen, Jinsheng, Yang, Hongxin, Mayorov, Alexander S., Wang, Lei, Yu, Geliang
We conduct experimental studies on the electrical transport properties of monolayer graphene directly covered by a few layers of $\rm CrI_3$. We do not observe the expected magnetic exchange coupling in the graphene but instead discover proximity eff
Externí odkaz:
http://arxiv.org/abs/2404.18061
Autor:
Cai, Xiaofan, Li, Ming, Chen, Chao, Du, Renjun, Guo, Zijing, Wang, Ping, Ma, Guodong, Wu, Xinglong, Wang, Zhiyuan, Han, Yaqing, Lian, Fuzhuo, Xiao, Jingkuan, Jiang, Siqi, Wang, Lei, Mayorov, Alexander S., Gao, Libo, Novoselov, Kostya S., Yu, Geliang
Blood, a ubiquitous and fundamental carbohydrate material composed of plasma, red blood cells, white blood cells, and platelets, has been playing an important role in biology, life science, history, and religious study, while graphene has garnered si
Externí odkaz:
http://arxiv.org/abs/2404.18045
Autor:
Xie, Sheng-Lun, Yu, Yun-Wei, Xiong, Shao-Lin, Lin, Lin, Wang, Ping, Zhao, Yi, Wang, Yue, Zhang, Wen-Long
By using the Fermi/Gamma-ray Burst Monitor data of the X-ray bursts (XRBs) of SGR J1935+2154, we investigate the temporal clustering of the bursts and the cumulative distribution of the waiting time and fluence/flux. It is found that the bursts occur
Externí odkaz:
http://arxiv.org/abs/2404.11877
Video snapshot compressive imaging (SCI) aims to capture a sequence of video frames with only a single shot of a 2D detector, whose backbones rest in optical modulation patterns (also known as masks) and a computational reconstruction algorithm. Adva
Externí odkaz:
http://arxiv.org/abs/2404.05274
Single-pixel imaging (SPI) is a potential computational imaging technique which produces image by solving an illposed reconstruction problem from few measurements captured by a single-pixel detector. Deep learning has achieved impressive success on S
Externí odkaz:
http://arxiv.org/abs/2404.05001