Zobrazeno 1 - 10
of 1 866
pro vyhledávání: '"Lu, Shuai"'
In this article, we investigate both forward and backward problems for coupled systems of time-fractional diffusion equations, encompassing scenarios of strong coupling. For the forward problem, we establish the well-posedness of the system, leveragi
Externí odkaz:
http://arxiv.org/abs/2407.00588
Recent studies highlighted a practical setting of unsupervised anomaly detection (UAD) that builds a unified model for multi-class images, serving as an alternative to the conventional one-class-one-model setup. Despite various advancements addressin
Externí odkaz:
http://arxiv.org/abs/2405.14325
Conventional unsupervised anomaly detection (UAD) methods build separate models for each object category. Recent studies have proposed to train a unified model for multiple classes, namely model-unified UAD. However, such methods still implement the
Externí odkaz:
http://arxiv.org/abs/2404.00724
This letter first explores the solution uniqueness of the data-driven modeling of price-responsive flexible loads (PFL). The PFL on the demand side is critical in modern power systems. An accurate PFL model is fundamental for system operations. Yet,
Externí odkaz:
http://arxiv.org/abs/2403.15029
This paper introduces GAgent: an Gripping Agent designed for open-world environments that provides advanced cognitive abilities via VLM agents and flexible grasping abilities with variable stiffness soft grippers. GAgent comprises three primary compo
Externí odkaz:
http://arxiv.org/abs/2403.10850
In this paper, we investigate regularization of linear inverse problems with irregular noise. In particular, we consider the case that the noise can be preprocessed by certain adjoint embedding operators. By introducing the consequent preprocessed pr
Externí odkaz:
http://arxiv.org/abs/2401.15945
Ensuring correctness is a pivotal aspect of software engineering. Among the various strategies available, software verification offers a definitive assurance of correctness. Nevertheless, writing verification proofs is resource-intensive and manpower
Externí odkaz:
http://arxiv.org/abs/2401.07663
This paper proposes a semi-implicit version of continuous Newton method (CNM) for power flow analysis. The proposed method succeeds the numerical robustness from the implicit CNM (ICNM) framework while prevents the iterative solution of nonlinear sys
Externí odkaz:
http://arxiv.org/abs/2312.02809
Autor:
Huang, Yiming, Lin, Zhenghao, Liu, Xiao, Gong, Yeyun, Lu, Shuai, Lei, Fangyu, Liang, Yaobo, Shen, Yelong, Lin, Chen, Duan, Nan, Chen, Weizhu
Large language models (LLMs) have demonstrated impressive reasoning capabilities, yet there is ongoing debate about these abilities and the potential data contamination problem recently. This paper aims to evaluate the reasoning capacities of LLMs, s
Externí odkaz:
http://arxiv.org/abs/2312.02143
Autor:
Lan, Bin, Xu, Ji, Lu, Shuai, Liu, Yige, Xu, Fan, Zhao, Bidan, Zou, Zheng, Zhai, Ming, Wang, Junwu
Hydrogen metallurgy technology uses hydrogen as the reducing agent instead of carbon reduction, which is one of the important ways to reduce carbon dioxide emissions and ensure the green and sustainable development of iron and steel industry. Due to
Externí odkaz:
http://arxiv.org/abs/2311.03908