Zobrazeno 1 - 10
of 1 091
pro vyhledávání: '"Liu Weiqing"'
Publikováno v:
SHS Web of Conferences, Vol 159, p 01005 (2023)
With the advent of the information age, online education has developed rapidly. The teaching reform of translation online course for business English majors in application-oriented universities is an important means to cultivate high-quality applicat
Externí odkaz:
https://doaj.org/article/a5e67eb781d145ad9e01a53ad094b819
The progress of humanity is driven by those successful discoveries accompanied by countless failed experiments. Researchers often seek the potential research directions by reading and then verifying them through experiments. The process imposes a sig
Externí odkaz:
http://arxiv.org/abs/2404.11276
Recently, diffusion probabilistic models have attracted attention in generative time series forecasting due to their remarkable capacity to generate high-fidelity samples. However, the effective utilization of their strong modeling ability in the pro
Externí odkaz:
http://arxiv.org/abs/2403.05751
Publikováno v:
Science and Engineering of Composite Materials, Vol 25, Iss 1, Pp 173-188 (2018)
An innovative load-bearing sandwich wall panel with glass fiber-reinforced polymer (GFRP) skins and a foam-GFRP web core (GSFW wall panels, where “GS” denotes GFRP skin and “FW” denotes foam-GFRP web core), which was manufactured using a vacu
Externí odkaz:
https://doaj.org/article/f6ba45c5f61f4cd9ac53473376cdcba3
In the wake of relentless digital transformation, data-driven solutions are emerging as powerful tools to address multifarious industrial tasks such as forecasting, anomaly detection, planning, and even complex decision-making. Although data-centric
Externí odkaz:
http://arxiv.org/abs/2310.11249
High-frequency quantitative investment is a crucial aspect of stock investment. Notably, order flow data plays a critical role as it provides the most detailed level of information among high-frequency trading data, including comprehensive data from
Externí odkaz:
http://arxiv.org/abs/2308.08135
Autor:
Fang, Yuchen, Tang, Zhenggang, Ren, Kan, Liu, Weiqing, Zhao, Li, Bian, Jiang, Li, Dongsheng, Zhang, Weinan, Yu, Yong, Liu, Tie-Yan
Order execution is a fundamental task in quantitative finance, aiming at finishing acquisition or liquidation for a number of trading orders of the specific assets. Recent advance in model-free reinforcement learning (RL) provides a data-driven solut
Externí odkaz:
http://arxiv.org/abs/2307.03119
Order-driven market simulation mimics the trader behaviors to generate order streams to support interactive studies of financial strategies. In market simulator, the multi-agent approach is commonly adopted due to its explainability. Existing multi-a
Externí odkaz:
http://arxiv.org/abs/2307.12987
Off-Policy reinforcement learning has been a driving force for the state-of-the-art conversational AIs leading to more natural humanagent interactions and improving the user satisfaction for goal-oriented agents. However, in large-scale commercial se
Externí odkaz:
http://arxiv.org/abs/2305.10528
Publikováno v:
MATEC Web of Conferences, Vol 275, p 02002 (2019)
In the past three decades, one-dimensional (1-D) thermal model was usually used to estimate the thermal responses of glass fiber-reinforced polymer (GFRP) materials and structures. However, the temperature gradient and mechanical degradation of whole
Externí odkaz:
https://doaj.org/article/9ddfde73c5bb47efa3e2688cddc698c7