Zobrazeno 1 - 10
of 9 296
pro vyhledávání: '"Zeng, Yi"'
Human beings often experience stress, which can significantly influence their performance. This study explores whether Large Language Models (LLMs) exhibit stress responses similar to those of humans and whether their performance fluctuates under dif
Externí odkaz:
http://arxiv.org/abs/2409.17167
The hierarchical architecture has become a mainstream design paradigm for Vision Transformers (ViTs), with Patch Merging serving as the pivotal component that transforms a columnar architecture into a hierarchical one. Drawing inspiration from the br
Externí odkaz:
http://arxiv.org/abs/2409.06963
Systolic architectures are widely embraced by neural network accelerators for their superior performance in highly parallelized computation. The DSP48E2s serve as dedicated arithmetic blocks in Xilinx Ultrascale series FPGAs and constitute a fundamen
Externí odkaz:
http://arxiv.org/abs/2409.03508
We proposed a novel dense line spectrum super-resolution algorithm, the DMRA, that leverages dynamical multi-resolution of atoms technique to address the limitation of traditional compressed sensing methods when handling dense point-source signals. T
Externí odkaz:
http://arxiv.org/abs/2409.00799
Spiking Neural Networks (SNNs), with their brain-inspired structure using discrete spikes instead of continuous activations, are gaining attention for their potential of efficient processing on neuromorphic chips. While current SNN hardware accelerat
Externí odkaz:
http://arxiv.org/abs/2408.15578
Autor:
Zhuang, Shi-Chang, Li, Bo, Zheng, Ming-Yang, Zeng, Yi-Xi, Wu, Hui-Nan, Li, Guang-Bing, Yao, Quan, Xie, Xiu-Ping, Li, Yu-Huai, Qin, Hao, You, Li-Xing, Xu, Fei-Hu, Yin, Juan, Cao, Yuan, Zhang, Qiang, Peng, Cheng-Zhi, Pan, Jian-Wei
The entangled photons are crucial resources for quantum communications and networking. Here, we present an ultra-bright polarization-entangled photon source based on a periodically poled lithium niobate waveguide designed for practical quantum commun
Externí odkaz:
http://arxiv.org/abs/2408.04361
Autor:
He, Xiang, Liu, Xiangxi, Li, Yang, Zhao, Dongcheng, Shen, Guobin, Kong, Qingqun, Yang, Xin, Zeng, Yi
The audio-visual event localization task requires identifying concurrent visual and auditory events from unconstrained videos within a network model, locating them, and classifying their category. The efficient extraction and integration of audio and
Externí odkaz:
http://arxiv.org/abs/2408.01952
Autor:
Zeng, Yi, Yang, Yu, Zhou, Andy, Tan, Jeffrey Ziwei, Tu, Yuheng, Mai, Yifan, Klyman, Kevin, Pan, Minzhou, Jia, Ruoxi, Song, Dawn, Liang, Percy, Li, Bo
Foundation models (FMs) provide societal benefits but also amplify risks. Governments, companies, and researchers have proposed regulatory frameworks, acceptable use policies, and safety benchmarks in response. However, existing public benchmarks oft
Externí odkaz:
http://arxiv.org/abs/2407.17436
Brain-inspired Spiking Neural Networks (SNNs) have attracted much attention due to their event-based computing and energy-efficient features. However, the spiking all-or-none nature has prevented direct training of SNNs for various applications. The
Externí odkaz:
http://arxiv.org/abs/2406.19645
Autor:
Yao, Bowei, Zeng, Yi, Dai, Haizhao, Wu, Qing, Xiao, Youshen, Gao, Fei, Zhang, Yuyao, Yu, Jingyi, Cai, Xiran
Photoacoustic tomography is a hybrid biomedical technology, which combines the advantages of acoustic and optical imaging. However, for the conventional image reconstruction method, the image quality is affected obviously by artifacts under the condi
Externí odkaz:
http://arxiv.org/abs/2406.17578