Zobrazeno 1 - 10
of 3 910
pro vyhledávání: '"Wu Xiaojun"'
Autor:
Dai Mingcong, Cai Jiahua, Ren Zejun, Zhang Mingxuan, Wang Jiaqi, Xiong Hongting, Ma Yihang, Wang Youwei, Zhou Sitong, Li Kuiju, Lv Zhentao, Wu Xiaojun
Publikováno v:
Nanophotonics, Vol 13, Iss 8, Pp 1493-1502 (2024)
Understanding the ultrafast excitation, detection, transportation, and manipulation of nanoscale spin dynamics in the terahertz (THz) frequency range is critical to developing spintronic THz optoelectronic nanodevices. However, the diffraction limita
Externí odkaz:
https://doaj.org/article/0aecf9b657194dd4bfa8277772e3522a
Publikováno v:
Nanophotonics, Vol 12, Iss 13, Pp 2517-2526 (2023)
Strong-field terahertz (THz)–matter interaction permits the investigation of nonequilibrium behaviors in the nonperturbative zone. However, the unavailability of a high-field free-space THz source with high repetition rates, excellent beam quality,
Externí odkaz:
https://doaj.org/article/507afbb5f8104506aff179bba979527a
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 40, Iss 6, Pp 1335-1342 (2022)
抛光力是影响百页轮柔性抛光表面质量和效率的关键参数, 而百页轮和工件的法向位移是影响抛光力的直接因素, 因此建立二者的关系模型十分重要和必要。根据百页轮结构特性建立了其表面
Externí odkaz:
https://doaj.org/article/fda3e80a8b674e129d9f398308bab2b7
Publikováno v:
Nanophotonics, Vol 11, Iss 9, Pp 1847-1862 (2022)
Extremely nonlinear terahertz (THz)-matter interactions and applications have positioned themselves as the next frontier in quantum information, nonlinear optics, and particle acceleration. However, the absence of free-space highly intense THz source
Externí odkaz:
https://doaj.org/article/9321f45dd5f9450ebe97a59b446dc2cf
Autor:
Wu, Xiaojun, Liu, Junxi, Su, Huanyi, Lin, Zhouchi, Qi, Yiyan, Xu, Chengjin, Su, Jiajun, Zhong, Jiajie, Wang, Fuwei, Wang, Saizhuo, Hua, Fengrui, Li, Jia, Guo, Jian
As large language models become increasingly prevalent in the financial sector, there is a pressing need for a standardized method to comprehensively assess their performance. However, existing finance benchmarks often suffer from limited language an
Externí odkaz:
http://arxiv.org/abs/2411.06272
The Deepfake technology has raised serious concerns regarding privacy breaches and trust issues. To tackle these challenges, Deepfake detection technology has emerged. Current methods over-rely on the global feature space, which contains redundant in
Externí odkaz:
http://arxiv.org/abs/2410.10244
Bird's-Eye-View (BEV) perception has become a vital component of autonomous driving systems due to its ability to integrate multiple sensor inputs into a unified representation, enhancing performance in various downstream tasks. However, the computat
Externí odkaz:
http://arxiv.org/abs/2410.06516
In the landscape of autonomous driving, Bird's-Eye-View (BEV) representation has recently garnered substantial academic attention, serving as a transformative framework for the fusion of multi-modal sensor inputs. This BEV paradigm effectively shifts
Externí odkaz:
http://arxiv.org/abs/2410.07268
Autor:
Wu, Xiaojun
In this note, we present a topological proof of the generalized Lelong-Poincar\'e formula. More precisely, when the zero locus of a section has a pure codimension equal to the rank of a holomorphic vector bundle, the top Chern class of the vector bun
Externí odkaz:
http://arxiv.org/abs/2410.01634
Riemannian neural networks, which extend deep learning techniques to Riemannian spaces, have gained significant attention in machine learning. To better classify the manifold-valued features, researchers have started extending Euclidean multinomial l
Externí odkaz:
http://arxiv.org/abs/2409.19433