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pro vyhledávání: '"Yang, YuFeng"'
Autor:
Ning, Minghao, Cui, Yaodong, Yang, Yufeng, Huang, Shucheng, Liu, Zhenan, Alghooneh, Ahmad Reza, Hashemi, Ehsan, Khajepour, Amir
This paper presents a novel real-time, delay-aware cooperative perception system designed for intelligent mobility platforms operating in dynamic indoor environments. The system contains a network of multi-modal sensor nodes and a central node that c
Externí odkaz:
http://arxiv.org/abs/2411.02624
This paper introduces a framework for an indoor autonomous mobility system that can perform patient transfers and materials handling. Unlike traditional systems that rely on onboard perception sensors, the proposed approach leverages a global percept
Externí odkaz:
http://arxiv.org/abs/2410.22527
Recent studies have shown that many nonconvex machine learning problems meet a so-called generalized-smooth condition that extends beyond traditional smooth nonconvex optimization. However, the existing algorithms designed for generalized-smooth nonc
Externí odkaz:
http://arxiv.org/abs/2410.14054
Autor:
Yang, Yufeng, Raj, Desh, Lin, Ju, Moritz, Niko, Jia, Junteng, Keren, Gil, Lakomkin, Egor, Huang, Yiteng, Donley, Jacob, Mahadeokar, Jay, Kalinli, Ozlem
The growing popularity of multi-channel wearable devices, such as smart glasses, has led to a surge of applications such as targeted speech recognition and enhanced hearing. However, current approaches to solve these tasks use independently trained m
Externí odkaz:
http://arxiv.org/abs/2409.11494
Edge vision systems combining sensing and embedded processing promise low-latency, decentralized, and energy-efficient solutions that forgo reliance on the cloud. As opposed to conventional frame-based vision sensors, event-based cameras deliver a mi
Externí odkaz:
http://arxiv.org/abs/2404.19489
It has been shown that the intelligibility of noisy speech can be improved by speech enhancement (SE) algorithms. However, monaural SE has not been established as an effective frontend for automatic speech recognition (ASR) in noisy conditions compar
Externí odkaz:
http://arxiv.org/abs/2403.06387
Autor:
Hou, Wenhui, Azizimanesh, Ahmad, Dey, Aditya, Yang, Yufeng, Wang, Wuxiucheng, Shao, Chen, Wu, Hui, Askari, Hesam, Singh, Sobhit, Wu, Stephen M.
A new mechanism for memristive switching in 2D materials is through electric-field controllable electronic/structural phase transitions, but these devices have not outperformed status quo 2D memristors. Here, we report a high-performance bipolar phas
Externí odkaz:
http://arxiv.org/abs/2308.13637
Autor:
Yang, Yufeng1 (AUTHOR) yangyf@pipechina.com.cn, Zhang, Xixiang1 (AUTHOR) zhangxx11@pipechina.com.cn, Xie, Shuyi2 (AUTHOR) xieshuyi0810@gmail.com, Qu, Shanqi3,4 (AUTHOR) 202111080757@mail.scut.edu.cn, Chen, Haotian3,4 (AUTHOR) 202321004012@mail.scut.edu.cn, Xu, Qiming3,4 (AUTHOR), Chen, Guohua3,4 (AUTHOR)
Publikováno v:
Energies (19961073). Nov2024, Vol. 17 Issue 22, p5775. 18p.
It has been shown that the intelligibility of noisy speech can be improved by speech enhancement algorithms. However, speech enhancement has not been established as an effective frontend for robust automatic speech recognition (ASR) in noisy conditio
Externí odkaz:
http://arxiv.org/abs/2210.13318
Publikováno v:
In Science of the Total Environment 10 December 2024 955