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pro vyhledávání: '"Chen, Ziwei"'
The dimensionality of the embedding and the number of available embeddings ( also called codebook size) are critical factors influencing the performance of Vector Quantization(VQ), a discretization process used in many models such as the Vector Quant
Externí odkaz:
http://arxiv.org/abs/2407.04939
Autor:
Huang, Zhongyuan, Chen, Ziwei, Yang, Maolin, Chu, Mihai, Li, Zenan, Deng, Sihao, He, Lunhua, Jin, Lei, Dunin-Borkowski, Rafal E., Wang, Rui, Wang, Jun, Yang, Tingting, Xiao, Yinguo
Recently, considerable efforts have been made on research and improvement for Ni-rich lithium-ion batteries to meet the demand from vehicles and grid-level large-scale energy storage. Development of next-generation high-performance lithium-ion batter
Externí odkaz:
http://arxiv.org/abs/2404.15237
Individuals, despite having varied life experiences and learning processes, can communicate effectively through languages. This study aims to explore the efficiency of language as a communication medium. We put forth two specific hypotheses: First, d
Externí odkaz:
http://arxiv.org/abs/2312.15985
Publikováno v:
JMIR Formative Research, Vol 4, Iss 12, p e17265 (2020)
BackgroundArtificial neural networks have achieved unprecedented success in the medical domain. This success depends on the availability of massive and representative datasets. However, data collection is often prevented by privacy concerns, and peop
Externí odkaz:
https://doaj.org/article/bb896e915957434fbbc8d3d4ffb8c5c1
Autor:
Wang, Xiaofeng, Zhu, Zheng, Zhang, Yunpeng, Huang, Guan, Ye, Yun, Xu, Wenbo, Chen, Ziwei, Wang, Xingang
In recent years, vision-centric perception has flourished in various autonomous driving tasks, including 3D detection, semantic map construction, motion forecasting, and depth estimation. Nevertheless, the latency of vision-centric approaches is too
Externí odkaz:
http://arxiv.org/abs/2212.08914
Self-supervised monocular methods can efficiently learn depth information of weakly textured surfaces or reflective objects. However, the depth accuracy is limited due to the inherent ambiguity in monocular geometric modeling. In contrast, multi-fram
Externí odkaz:
http://arxiv.org/abs/2208.09170
Publikováno v:
Circuit World, 2022, Vol. 50, Issue 1, pp. 54-66.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CW-03-2022-0068
Autor:
Chen, Ziwei1, Wang, Jiajia2, Zhou, Jianyu3, Yu, Haifeng1, Zheng, Lu1, Chen, Yuan1, Wan, Xiaoqing1, Zhang, Wei1 zhangw6339@163.com, Zhang, Hongbo, Xu, Zimeng, Xu, Hongyao
Publikováno v:
Frontiers in Chemistry. 2024, p1-10. 10p.
Autor:
Wei, Ying1 (AUTHOR) 19121127@bjtu.edu.cn, Chen, Ziwei2,3 (AUTHOR) zwchen@pku.edu.cn, Wang, Hao4 (AUTHOR) wanghao@ustb.edu.cn
Publikováno v:
Materials (1996-1944). Jun2024, Vol. 17 Issue 12, p2820. 15p.
Federated machine learning is a versatile and flexible tool to utilize distributed data from different sources, especially when communication technology develops rapidly and an unprecedented amount of data could be collected on mobile devices nowaday
Externí odkaz:
http://arxiv.org/abs/2112.05321