Zobrazeno 1 - 10
of 2 023
pro vyhledávání: '"ZHANG Yuxiang"'
Autor:
Xue Kai, Zhang Yuxiang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract This study focuses on optimizing and designing the Delayed-Fix-Later Awaiting Transmission Encoding (DEFLATE) algorithm to enhance its compression performance and reduce the compression time for models, specifically in the context of compres
Externí odkaz:
https://doaj.org/article/a0008a11737c41fc96e0c8cd00c2fa8b
Publikováno v:
Cailiao gongcheng, Vol 50, Iss 11, Pp 135-144 (2022)
Precipitation behavior of σ phase in 23Cr-14Ni high-nitrogen austenitic stainless steel was investigated by empirical formulas, thermodynamic calculations, Gleeble thermo-mechanical simulation, optical microscope, scanning electron microscopy and tr
Externí odkaz:
https://doaj.org/article/fe45fe93e0544c45a1b31f641ded0d48
Publikováno v:
Jixie chuandong, Vol 46, Pp 149-155 (2022)
Under the unbalance-bearing coupling fault of the rotor system, the unbalance fault features and bearing faults modulate each other, and the weak fault features are easily submerged by the strong fault features and strong noise components. Thus, a mu
Externí odkaz:
https://doaj.org/article/0699950226ba460482bea2cee6dc4927
Autor:
Xue, Pengyu, Wu, Linhao, Wang, Chengyi, Li, Xiang, Yang, Zhen, Jin, Ruikai, Zhang, Yuxiang, Li, Jia, Pei, Yifei, Shen, Zhaoyan, Lyu, Xiran
In recent years, Large Language Models (LLMs) have significantly improved automated code translation, often achieving over 80% accuracy on existing benchmarks. However, most of these benchmarks consist of short, standalone, algorithmic samples that d
Externí odkaz:
http://arxiv.org/abs/2411.06145
Iterative solvers are frequently used in scientific applications and engineering computations. However, the memory-bound Sparse Matrix-Vector (SpMV) kernel computation hinders the efficiency of iterative algorithms. As modern hardware increasingly su
Externí odkaz:
http://arxiv.org/abs/2411.04686
Autor:
Li, Ronghui, Zhang, Hongwen, Zhang, Yachao, Zhang, Yuxiang, Zhang, Youliang, Guo, Jie, Zhang, Yan, Li, Xiu, Liu, Yebin
We propose Lodge++, a choreography framework to generate high-quality, ultra-long, and vivid dances given the music and desired genre. To handle the challenges in computational efficiency, the learning of complex and vivid global choreography pattern
Externí odkaz:
http://arxiv.org/abs/2410.20389
Autor:
Yu, Li, Shi, Lianzheng, Zhang, Jianhua, Wang, Jialin, Zhang, Zhen, Zhang, Yuxiang, Liu, Guangyi
6G is envisaged to provide multimodal sensing, pervasive intelligence, global coverage, global coverage, etc., which poses extreme intricacy and new challenges to the network design and optimization. As the core part of 6G, wireless channel is the ca
Externí odkaz:
http://arxiv.org/abs/2410.13379
While advances in mobility technology including autonomous vehicles and multi-modal navigation systems can improve mobility equity for people with disabilities, these technologies depend crucially on accurate, standardized, and complete pedestrian pa
Externí odkaz:
http://arxiv.org/abs/2410.19762
Autor:
Zhang, Yuxiang, Fan, Xin, Wang, Junjie, Chen, Chongxian, Mo, Fan, Sakai, Tetsuya, Yamana, Hayato
Recent advancements in large language models (LLMs) integrated with external tools and APIs have successfully addressed complex tasks by using in-context learning or fine-tuning. Despite this progress, the vast scale of tool retrieval remains challen
Externí odkaz:
http://arxiv.org/abs/2410.03212
Autor:
Cheng, Mouyang, Wang, Chenyan, Qin, Chenxin, Zhang, Yuxiang, Zhang, Qingyuan, Li, Han, Chen, Ji
Establishing the structure-property relationship in amorphous materials has been a long-term grand challenge due to the lack of a unified description of the degree of disorder. In this work, we develop SPRamNet, a neural network based machine-learnin
Externí odkaz:
http://arxiv.org/abs/2410.03116