Zobrazeno 1 - 10
of 282
pro vyhledávání: '"Zhang, Xumeng"'
Autor:
Chen, Hegan, Yang, Jichang, Chen, Jia, Wang, Songqi, Wang, Shaocong, Wang, Dingchen, Tian, Xinyu, Yu, Yifei, Chen, Xi, Lin, Yinan, He, Yangu, Wu, Xiaoshan, Li, Yi, Zhang, Xinyuan, Lin, Ning, Xu, Meng, Zhang, Xumeng, Wang, Zhongrui, Wang, Han, Shang, Dashan, Liu, Qi, Cheng, Kwang-Ting, Liu, Ming
Digital twins, the cornerstone of Industry 4.0, replicate real-world entities through computer models, revolutionising fields such as manufacturing management and industrial automation. Recent advances in machine learning provide data-driven methods
Externí odkaz:
http://arxiv.org/abs/2406.08343
Autor:
Yu, Yifei, Wang, Shaocong, Zhang, Woyu, Zhang, Xinyuan, Wu, Xiuzhe, He, Yangu, Yang, Jichang, Zhang, Yue, Lin, Ning, Wang, Bo, Chen, Xi, Wang, Songqi, Zhang, Xumeng, Qi, Xiaojuan, Wang, Zhongrui, Shang, Dashan, Liu, Qi, Cheng, Kwang-Ting, Liu, Ming
Human beings construct perception of space by integrating sparse observations into massively interconnected synapses and neurons, offering a superior parallelism and efficiency. Replicating this capability in AI finds wide applications in medical ima
Externí odkaz:
http://arxiv.org/abs/2404.09613
Autor:
Yang, Jichang, Chen, Hegan, Chen, Jia, Wang, Songqi, Wang, Shaocong, Yu, Yifei, Chen, Xi, Wang, Bo, Zhang, Xinyuan, Cui, Binbin, Li, Yi, Lin, Ning, Xu, Meng, Xu, Xiaoxin, Qi, Xiaojuan, Wang, Zhongrui, Zhang, Xumeng, Shang, Dashan, Wang, Han, Liu, Qi, Cheng, Kwang-Ting, Liu, Ming
Human brains image complicated scenes when reading a novel. Replicating this imagination is one of the ultimate goals of AI-Generated Content (AIGC). However, current AIGC methods, such as score-based diffusion, are still deficient in terms of rapidi
Externí odkaz:
http://arxiv.org/abs/2404.05648
Autor:
Wang, Shaocong, Gao, Yizhao, Li, Yi, Zhang, Woyu, Yu, Yifei, Wang, Bo, Lin, Ning, Chen, Hegan, Zhang, Yue, Jiang, Yang, Wang, Dingchen, Chen, Jia, Dai, Peng, Jiang, Hao, Lin, Peng, Zhang, Xumeng, Qi, Xiaojuan, Xu, Xiaoxin, So, Hayden, Wang, Zhongrui, Shang, Dashan, Liu, Qi, Cheng, Kwang-Ting, Liu, Ming
Visual sensors, including 3D LiDAR, neuromorphic DVS sensors, and conventional frame cameras, are increasingly integrated into edge-side intelligent machines. Realizing intensive multi-sensory data analysis directly on edge intelligent machines is cr
Externí odkaz:
http://arxiv.org/abs/2312.09262
Autor:
Li, Yi, Wang, Songqi, Zhao, Yaping, Wang, Shaocong, Zhang, Woyu, He, Yangu, Lin, Ning, Cui, Binbin, Chen, Xi, Zhang, Shiming, Jiang, Hao, Lin, Peng, Zhang, Xumeng, Qi, Xiaojuan, Wang, Zhongrui, Xu, Xiaoxin, Shang, Dashan, Liu, Qi, Cheng, Kwang-Ting, Liu, Ming
The rapid advancement of artificial intelligence (AI) has been marked by the large language models exhibiting human-like intelligence. However, these models also present unprecedented challenges to energy consumption and environmental sustainability.
Externí odkaz:
http://arxiv.org/abs/2311.07164
Autor:
Lin, Ning, Wang, Shaocong, Li, Yi, Wang, Bo, Shi, Shuhui, He, Yangu, Zhang, Woyu, Yu, Yifei, Zhang, Yue, Qi, Xiaojuan, Chen, Xiaoming, Jiang, Hao, Zhang, Xumeng, Lin, Peng, Xu, Xiaoxin, Liu, Qi, Wang, Zhongrui, Shang, Dashan, Liu, Ming
The human brain is a complex spiking neural network (SNN) that learns multimodal signals in a zero-shot manner by generalizing existing knowledge. Remarkably, the brain achieves this with minimal power consumption, using event-based signals that prop
Externí odkaz:
http://arxiv.org/abs/2307.00771
Autor:
Li, Yang, Wang, Wei, Wang, Ming, Dou, Chunmeng, Ma, Zhengyu, Zhou, Huihui, Zhang, Peng, Lepri, Nicola, Zhang, Xumeng, Luo, Qing, Xu, Xiaoxin, Yang, Guanhua, Zhang, Feng, Li, Ling, Ielmini, Daniele, Liu, Ming
Deep learning needs high-precision handling of forwarding signals, backpropagating errors, and updating weights. This is inherently required by the learning algorithm since the gradient descent learning rule relies on the chain product of partial der
Externí odkaz:
http://arxiv.org/abs/2304.12866
Autor:
Wang, Shaocong, Li, Yi, Wang, Dingchen, Zhang, Woyu, Chen, Xi, Dong, Danian, Wang, Songqi, Zhang, Xumeng, Lin, Peng, Gallicchio, Claudio, Xu, Xiaoxin, Liu, Qi, Cheng, Kwang-Ting, Wang, Zhongrui, Shang, Dashan, Liu, Ming
Recent years have witnessed an unprecedented surge of interest, from social networks to drug discovery, in learning representations of graph-structured data. However, graph neural networks, the machine learning models for handling graph-structured da
Externí odkaz:
http://arxiv.org/abs/2112.15270
Autor:
Huffman, Anthony1 (AUTHOR), Zhang, Xumeng2 (AUTHOR), Lanka, Meghana2 (AUTHOR), Zheng, Jie3 (AUTHOR), Masci, Anna Maria4 (AUTHOR), He, Yongqun1,3,5 (AUTHOR) yongqunh@med.umich.edu
Publikováno v:
Journal of Biomedical Semantics. 4/25/2024, Vol. 15, p1-11. 11p.
Akademický článek
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