Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Deng, Haoran"'
Autor:
Lin, Yingyu, Huang, Yuxing, Liu, Wenqin, Deng, Haoran, Ng, Ignavier, Zhang, Kun, Gong, Mingming, Ma, Yi-An, Huang, Biwei
Real-world data often violates the equal-variance assumption (homoscedasticity), making it essential to account for heteroscedastic noise in causal discovery. In this work, we explore heteroscedastic symmetric noise models (HSNMs), where the effect $
Externí odkaz:
http://arxiv.org/abs/2410.06407
View-based methods have demonstrated promising performance in 3D shape understanding. However, they tend to make strong assumptions about the relations between views or learn the multi-view correlations indirectly, which limits the flexibility of exp
Externí odkaz:
http://arxiv.org/abs/2409.09254
This paper presents a parameter-efficient prompt tuning method, named PPT, to adapt a large multi-modal model for 3D point cloud understanding. Existing strategies are quite expensive in computation and storage, and depend on time-consuming prompt en
Externí odkaz:
http://arxiv.org/abs/2402.15823
Due to the ubiquity of graph data on the web, web graph mining has become a hot research spot. Nonetheless, the prevalence of large-scale web graphs in real applications poses significant challenges to storage, computational capacity and graph model
Externí odkaz:
http://arxiv.org/abs/2402.09565
Publikováno v:
IEEE Transactions on Smart Grid, 2023
This paper presents a carbon-energy coupling management framework for an industrial park, where the carbon flow model accompanying multi-energy flows is adopted to track and suppress carbon emissions on the user side. To deal with the quadratic const
Externí odkaz:
http://arxiv.org/abs/2312.12795
In the early commercialization stage of hydrogen fuel cell vehicles (HFCVs), reasonable hydrogen supply infrastructure (HSI) planning decisions is a premise for promoting the popularization of HFCVs. However, there is a strong causality between HFCVs
Externí odkaz:
http://arxiv.org/abs/2308.06958
Network embedding, a graph representation learning method illustrating network topology by mapping nodes into lower-dimension vectors, is challenging to accommodate the ever-changing dynamic graphs in practice. Existing research is mainly based on no
Externí odkaz:
http://arxiv.org/abs/2306.08967
Publikováno v:
International Journal of Electrical Power and Energy Systems 2023
Widespread utilization of electric vehicles (EVs) incurs more uncertainties and impacts on the scheduling of the power-transportation coupled network. This paper investigates optimal power scheduling for a power-transportation coupled network in the
Externí odkaz:
http://arxiv.org/abs/2212.01770
Pairs trading is a family of trading techniques that determine their policies based on monitoring the relationships between pairs of assets. A common pairs trading approach relies on describing the pair-wise relationship as a linear Space State (SS)
Externí odkaz:
http://arxiv.org/abs/2210.15448
Autor:
Deng, Haoran, Zhang, Shaohua, Fu, Yanxue, Dong, Na, Bi, Chongpeng, Shan, Anshan, Shao, Changxuan
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496
