Zobrazeno 1 - 10
of 9 633
pro vyhledávání: '"Baoli An"'
Autor:
Meng, Weijia, Fröch, Johannes E., Cheng, Ke, Li, Baoli, Majumdar, Arka, Maier, Stefan A., Ren, Haoran, Gu, Min, Fang, Xinyuan
Ultrathin metasurface holograms, with thicknesses comparable to the operating wavelength, leverage multiple degrees of freedom of light to address independent image channels, thereby significantly enhancing information capacity. Although the waveleng
Externí odkaz:
http://arxiv.org/abs/2408.16342
Risk analysis is an important business decision support task in customer relationship management (CRM), involving the identification of potential risks or challenges that may affect customer satisfaction, retention rates, and overall business perform
Externí odkaz:
http://arxiv.org/abs/2408.12113
Search and recommendation (S&R) are the two most important scenarios in e-commerce. The majority of users typically interact with products in S&R scenarios, indicating the need and potential for joint modeling. Traditional multi-scenario models use s
Externí odkaz:
http://arxiv.org/abs/2405.10835
We present a structure preserving PINN for solving a series of time dependent PDEs with periodic boundary. Our method can incorporate the periodic boundary condition as the natural output of any deep neural net, hence significantly improving the trai
Externí odkaz:
http://arxiv.org/abs/2404.16189
Publikováno v:
Nanomaterials, Vol 12, Iss 22, p 4034 (2022)
Aggregation-induced quenching (ACQ) is a hard problem in fluorescence material, leading to a poor utilization rate of fluorophores. In this work, 1,3,6,8-tetrakis(4-formylphenyl)pyrene (TFPPy) was synthesized and used as a precursor to build two kind
Externí odkaz:
https://doaj.org/article/94e97291919e4486ab463a7e4c22bbb2
Autor:
Fang, Hao, Qiu, Yixiang, Yu, Hongyao, Yu, Wenbo, Kong, Jiawei, Chong, Baoli, Chen, Bin, Wang, Xuan, Xia, Shu-Tao
Model Inversion (MI) attacks aim to disclose private information about the training data by abusing access to the pre-trained models. These attacks enable adversaries to reconstruct high-fidelity data that closely aligns with the private training dat
Externí odkaz:
http://arxiv.org/abs/2402.04013
Autor:
Li, Yanjie, Li, Weijun, Yu, Lina, Wu, Min, Liu, Jinyi, Li, Wenqiang, Hao, Meilan, Wei, Shu, Deng, Yusong, Zhang, Liping, Dong, Xiaoli, Qin, Hong, Ning, Xin, Zhang, Yugui, Lu, Baoli, Xu, Jian, Li, Shuang
Multilayer perception (MLP) has permeated various disciplinary domains, ranging from bioinformatics to financial analytics, where their application has become an indispensable facet of contemporary scientific research endeavors. However, MLP has obvi
Externí odkaz:
http://arxiv.org/abs/2401.01772
The convolution quadrature method originally developed for the Riemann-Liouville fractional calculus is extended in this work to the Hadamard fractional calculus by using the exponential type meshes. Local truncation error analysis is presented for s
Externí odkaz:
http://arxiv.org/abs/2311.06869
Thanks to the singularity of the solution of linear subdiffusion problems, most time-stepping methods on uniform meshes can result in $O(\tau)$ accuracy where $\tau$ denotes the time step. The present work aims to discover the reason why some type of
Externí odkaz:
http://arxiv.org/abs/2311.02904
Autor:
Zhang, Huang, Wang, Changshuo, Tian, Shengwei, Lu, Baoli, Zhang, Liping, Ning, Xin, Bai, Xiao
Publikováno v:
Displays 102456 (2023)
In recent years, point cloud representation has become one of the research hotspots in the field of computer vision, and has been widely used in many fields, such as autonomous driving, virtual reality, robotics, etc. Although deep learning technique
Externí odkaz:
http://arxiv.org/abs/2311.02608