Zobrazeno 1 - 10
of 50 802
pro vyhledávání: '"P. Xiaoli"'
Autor:
Gong, Peiliang, Ragab, Mohamed, Wu, Min, Chen, Zhenghua, Su, Yongyi, Li, Xiaoli, Zhang, Daoqiang
Test-time adaptation aims to adapt pre-trained deep neural networks using solely online unlabelled test data during inference. Although TTA has shown promise in visual applications, its potential in time series contexts remains largely unexplored. Ex
Externí odkaz:
http://arxiv.org/abs/2501.01472
This work considers a time domain inverse acoustic obstacle scattering problem due to randomly distributed point sources. Motivated by the Helmholtz-Kirchhoff identity in the frequency domain, we propose to relate the time domain measurement data due
Externí odkaz:
http://arxiv.org/abs/2412.20697
Autor:
Song, Yuxuan, Zeng, Yong, Yang, Yuhang, Ren, Zixiang, Cheng, Gaoyuan, Xu, Xiaoli, Xu, Jie, Jin, Shi, Zhang, Rui
Low-altitude unmanned aerial vehicles (UAVs) are expected to play an important role in future wireless networks, either as aerial base stations (BSs) or aerial users connected to the cellular network. In addition, integrated sensing and communication
Externí odkaz:
http://arxiv.org/abs/2412.19973
Publikováno v:
A&A, 692, A210 (2024)
Aims. This study aims to investigate the deviation of the intensity ratio of the \ion{Si}{IV} 1394 \AA\ and 1403 \AA\ emission lines from the expected value of 2 in the optically thin regime, as observed in many recent studies. Methods. We analyzed t
Externí odkaz:
http://arxiv.org/abs/2412.17300
Unnatural text correction aims to automatically detect and correct spelling errors or adversarial perturbation errors in sentences. Existing methods typically rely on fine-tuning or adversarial training to correct errors, which have achieved signific
Externí odkaz:
http://arxiv.org/abs/2412.17279
Publikováno v:
IEEE Transactions on Network and Service Management, 2024
As the Internet of Things (IoT) industry advances, the imperative to secure IoT devices has become increasingly critical. Current practices in both industry and academia advocate for the enhancement of device security through key installation. Howeve
Externí odkaz:
http://arxiv.org/abs/2412.11564
Autor:
Yang, Donghao, Wu, Aolang, Zhang, Tianyi, Zhang, Li, Liu, Fang, Lian, Xiaoli, Ren, Yuming, Tian, Jiaji
Programmable Logic Controllers (PLCs) are microcomputers essential for automating factory operations. Structured Text (ST), a high-level language adhering to the IEC 61131-3 standard, is pivotal for PLCs due to its ability to express logic succinctly
Externí odkaz:
http://arxiv.org/abs/2412.02410
Autor:
Yang, Liu, Paischer, Fabian, Hassani, Kaveh, Li, Jiacheng, Shao, Shuai, Li, Zhang Gabriel, He, Yun, Feng, Xue, Noorshams, Nima, Park, Sem, Long, Bo, Nowak, Robert D, Gao, Xiaoli, Eghbalzadeh, Hamid
Sequential dense retrieval models utilize advanced sequence learning techniques to compute item and user representations, which are then used to rank relevant items for a user through inner product computation between the user and all item representa
Externí odkaz:
http://arxiv.org/abs/2411.18814
Autor:
Zhang, Xiaoman, Zhou, Hong-Yu, Yang, Xiaoli, Banerjee, Oishi, Acosta, Julián N., Miller, Josh, Huang, Ouwen, Rajpurkar, Pranav
AI-driven models have demonstrated significant potential in automating radiology report generation for chest X-rays. However, there is no standardized benchmark for objectively evaluating their performance. To address this, we present ReXrank, https:
Externí odkaz:
http://arxiv.org/abs/2411.15122
Channel knowledge map (CKM) is a promising paradigm shift towards environment-aware communication and sensing by providing location-specific prior channel knowledge before real-time communication. Although CKM is particularly appealing for dense netw
Externí odkaz:
http://arxiv.org/abs/2411.17716