supported by the Research Grants Council of the Hong Kong Special Administration Region under the Grant No.14201621。
In this paper,we investigate the distributed Nash equilibrium(NE)seeking problem for aggregative games with multiple uncertain Euler–Lagrange(EL)systems over jointly connected and weight-balanced switching networks.T...
supported by the National Nature Science Foundation of China(12275004)。
By incorporating first-order QED effects,we explored the shadows of Kerr-Newman black holes with a magnetic charge through the numerical backward ray-tracing method.Our investigation encompassed both the direct influe...
Supported by the National Natural Science Foundation of China(11971458,11471310)。
In this paper,we propose a neural network approach to learn the parameters of a class of stochastic Lotka-Volterra systems.Approximations of the mean and covariance matrix of the observational variables are obtained f...
To decipher both shallow and deeper structural features that may control the emplacement of Kimberlite/Lamproite bodies in basement-exposed and covered areas, a detailed gravity survey was conducted on the northern ba...
supported by National Key R&D Program of China(Grant No.2021YFA1000800);National Natural Science Foundation of China(Grant No.12288201);supported by National Natural Science Foundation of China(Grant Nos.12022114 and 12288201);CAS Project for Young Scientists in Basic Research(Grant No.YSBR-031);Youth Innovation Promotion Association of CAS(Grant No.2019002);supported by National Natural Science Foundation of China(Grant No.12201209)。
The study of the hydrodynamic limit of the Boltzmann equation with physical boundary is a challenging problem due to the appearance of the viscous and Knudsen boundary layers.In this paper,the hydrodynamic limit from ...
supported by the Key Research and Development Program of Jiangsu Province under Grant BE2022059-3,CTBC Bank through the Industry-Academia Cooperation Project,as well as by the Ministry of Science and Technology of Taiwan through Grants MOST-108-2218-E-002-055,MOST-109-2223-E-009-002-MY3,MOST-109-2218-E-009-025,and MOST431109-2218-E-002-015.
Micro-expressions(ME)recognition is a complex task that requires advanced techniques to extract informative features fromfacial expressions.Numerous deep neural networks(DNNs)with convolutional structures have been pr...
The exponential transform or modified Fourier transform is an integral transform where the Kernel function is Ka(ξ,t)=a−iξt, and a∈] 1,+∞ [. This is a general case of the Fourier transform where the Kernel functio...
X.Chen was supported in part by NSF grant DMS-2005469 and a Simons fellowship numbered 916862;S.Shen was supported in part by the Postdoctoral Science Foundation of China under Grant 2022M720263;Z.Zhang was supported in part by NSF of China under Grant 12171010 and 12288101.
We study the three dimensional quantum many-body dynamics with repulsive Coulomb interaction in the mean-field setting.The Euler-Poisson equation is its limit as the particle number tends to infinity and Planck’s con...