Zobrazeno 1 - 10
of 30 677
pro vyhledávání: '"Qingsong An"'
Publikováno v:
International Journal of Thermofluids, Vol 20, Iss , Pp 100420- (2023)
Solid oxide fuel cell (SOFC) combined heat and power (CHP) system is a promising candidate for efficient power generation. Due to its complex dynamic characteristics, system performance is still unsatisfied when it operates in variable load condition
Externí odkaz:
https://doaj.org/article/772bbf6855504fa189b6d4cc7c8831f4
Autor:
Lv, Qingsong, Sun, Jiasheng, Zhou, Sheng, Zhang, Xu, Li, Liangcheng, Gao, Yun, Qiao, Sun, Song, Jie, Bu, Jiajun
To reduce computational overhead while maintaining model performance, model pruning techniques have been proposed. Among these, structured pruning, which removes entire convolutional channels or layers, significantly enhances computational efficiency
Externí odkaz:
http://arxiv.org/abs/2411.12781
Autor:
Yan, Cilin, Wang, Jingyun, Zhang, Lin, Zhao, Ruihui, Wu, Xiaopu, Xiong, Kai, Liu, Qingsong, Kang, Guoliang, Kang, Yangyang
Automatic prompt engineering aims to enhance the generation quality of large language models (LLMs). Recent works utilize feedbacks generated from erroneous cases to guide the prompt optimization. During inference, they may further retrieve several s
Externí odkaz:
http://arxiv.org/abs/2411.07446
Autor:
Li, Mingzhe, Gao, Bo, Toyoda, Kentaroh, Yang, Yechao, Samsudin, Juniarto, Zhang, Haibin, Lu, Sifei, Tng, Tai Hou, Choo, Kerching, Ting, Andy, Goh, Siow Mong Rick, Wei, Qingsong
Traditional blockchain systems, such as Ethereum, typically rely on a \emph{single volatile cryptocurrency for transaction fees}. This leads to fluctuating transaction fee prices and limits the flexibility of users' payment options. To address these
Externí odkaz:
http://arxiv.org/abs/2410.22100
A class of simultaneous equation models arise in the many domains where observed binary outcomes are themselves a consequence of the existing choices of of one of the agents in the model. These models are gaining increasing interest in the computer s
Externí odkaz:
http://arxiv.org/abs/2410.18381
Autor:
Yu, Miao, Wang, Shilong, Zhang, Guibin, Mao, Junyuan, Yin, Chenlong, Liu, Qijiong, Wen, Qingsong, Wang, Kun, Wang, Yang
Large language models (LLMs) have empowered nodes within multi-agent networks with intelligence, showing growing applications in both academia and industry. However, how to prevent these networks from generating malicious information remains unexplor
Externí odkaz:
http://arxiv.org/abs/2410.15686
In this work, we derived the three-dimensional scaled boundary finite element formulation for thermal conduction problems. By introducing Wachspress shape functions, we proposed a novel polyhedral scaled boundary finite element method (PSBFEM) to add
Externí odkaz:
http://arxiv.org/abs/2410.15331
Autor:
Lai, Haoran, Jiang, Zihang, Yao, Qingsong, Wang, Rongsheng, He, Zhiyang, Tao, Xiaodong, Wei, Wei, Lv, Weifu, Zhou, S. Kevin
The development of 3D medical vision-language models holds significant potential for disease diagnosis and patient treatment. However, compared to 2D medical images, 3D medical images, such as CT scans, face challenges related to limited training dat
Externí odkaz:
http://arxiv.org/abs/2410.14200
Autor:
Zhao, Sinong, Wang, Wenrui, Xu, Hongzuo, Yu, Zhaoyang, Wen, Qingsong, Wang, Gang, Liu, xiaoguang, Pang, Guansong
Identifying anomalies from time series data plays an important role in various fields such as infrastructure security, intelligent operation and maintenance, and space exploration. Current research focuses on detecting the anomalies after they occur,
Externí odkaz:
http://arxiv.org/abs/2410.12206
Autor:
Li, Zhe, Qiu, Xiangfei, Chen, Peng, Wang, Yihang, Cheng, Hanyin, Shu, Yang, Hu, Jilin, Guo, Chenjuan, Zhou, Aoying, Wen, Qingsong, Jensen, Christian S., Yang, Bin
Time Series Forecasting (TSF) is key functionality in numerous fields, including in finance, weather services, and energy management. While TSF methods are emerging these days, many of them require domain-specific data collection and model training a
Externí odkaz:
http://arxiv.org/abs/2410.11802