Zobrazeno 1 - 10
of 793
pro vyhledávání: '"YAO, Di"'
Autor:
Gong, Chang, Yao, Di, Wang, Jin, Li, Wenbin, Fang, Lanting, Xie, Yongtao, Feng, Kaiyu, Han, Peng, Bi, Jingping
Root Cause Analysis (RCA) aims at identifying the underlying causes of system faults by uncovering and analyzing the causal structure from complex systems. It has been widely used in many application domains. Reliable diagnostic conclusions are of gr
Externí odkaz:
http://arxiv.org/abs/2407.05869
Autor:
Li, Wenbin, Yao, Di, Zhao, Ruibo, Chen, Wenjie, Xu, Zijie, Luo, Chengxue, Gong, Chang, Jing, Quanliang, Tan, Haining, Bi, Jingping
The rapid evolution of large language models (LLMs) holds promise for reforming the methodology of spatio-temporal data mining. However, current works for evaluating the spatio-temporal understanding capability of LLMs are somewhat limited and biased
Externí odkaz:
http://arxiv.org/abs/2406.19065
In online advertising, marketing mix modeling (MMM) is employed to predict the gross merchandise volume (GMV) of brand shops and help decision-makers to adjust the budget allocation of various advertising channels. Traditional MMM methods leveraging
Externí odkaz:
http://arxiv.org/abs/2406.16728
Autor:
Liu, Shuo, Yao, Di, Fang, Lanting, Li, Zhetao, Li, Wenbin, Feng, Kaiyu, Ji, XiaoWen, Bi, Jingping
Detecting anomaly edges for dynamic graphs aims to identify edges significantly deviating from the normal pattern and can be applied in various domains, such as cybersecurity, financial transactions and AIOps. With the evolving of time, the types of
Externí odkaz:
http://arxiv.org/abs/2405.07626
Pervasive applications of the vehicle simulation technology are a powerful motivation for the development of modern automobile industry. As basic parameters of road vehicle, vehicle dynamic parameters can significantly influence the ride comfort and
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A72076
https://tud.qucosa.de/api/qucosa%3A72076/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A72076/attachment/ATT-0/
Autor:
Shao, Zezhi, Wang, Fei, Xu, Yongjun, Wei, Wei, Yu, Chengqing, Zhang, Zhao, Yao, Di, Sun, Tao, Jin, Guangyin, Cao, Xin, Cong, Gao, Jensen, Christian S., Cheng, Xueqi
Multivariate Time Series (MTS) analysis is crucial to understanding and managing complex systems, such as traffic and energy systems, and a variety of approaches to MTS forecasting have been proposed recently. However, we often observe inconsistent o
Externí odkaz:
http://arxiv.org/abs/2310.06119
Temporal data, representing chronological observations of complex systems, has always been a typical data structure that can be widely generated by many domains, such as industry, medicine and finance. Analyzing this type of data is extremely valuabl
Externí odkaz:
http://arxiv.org/abs/2303.10112
Publikováno v:
In Fuel 15 November 2024 376
Publikováno v:
In Soil Dynamics and Earthquake Engineering November 2024 186
Publikováno v:
In Industrial Crops & Products 1 November 2024 219