Zobrazeno 1 - 10
of 2 631
pro vyhledávání: '"WANG, Sai"'
The stochastic gravitational-wave background originating from cosmic sources contains vital information about the early universe. In this work, we comprehensively study the cross-correlations between the energy-density anisotropies in scalar-induced
Externí odkaz:
http://arxiv.org/abs/2412.02500
Autor:
Wang, Sai
Recently, the prediction-correction method has been developed to solve nonlinear convex optimization problems. However, its convergence rate is often poor since large regularization parameters are set to ensure convergence conditions. In this paper,
Externí odkaz:
http://arxiv.org/abs/2411.01421
An Optimization-Based Inverse Kinematics Solver for Continuum Manipulators in Intricate Environments
Autor:
Sun, Yinan, Wang, Sai
Continuum manipulators have gained significant attention as a promising alternative to rigid manipulators, offering notable advantages in terms of flexibility and adaptability within intricate workspace. However, the broader application of high degre
Externí odkaz:
http://arxiv.org/abs/2410.20311
Publikováno v:
Diversity and Distributions, 2024 Oct 01. 30(10), 1-12.
Externí odkaz:
https://www.jstor.org/stable/48789749
Publikováno v:
JCAP 10 (2024) 083
Primordial black holes (PBHs), more generally, BHs, undergo evaporation and, in principle, will end their lives in bursts of very high-energy gamma rays. The notable aspect of the PBHs with an initial mass of $\sim10^{14}$ g is that they are expected
Externí odkaz:
http://arxiv.org/abs/2408.10897
Autor:
Zhao, Zhi-Chao, Wang, Sai
Publikováno v:
Sci.China Phys.Mech.Astron. 67 (2024) 120411
We investigate the capabilities of space-based gravitational-wave detector networks, specifically Taiji and LISA, to measure the anisotropies in stochastic gravitational-wave background (SGWB), which are characterized by the angular power spectrum. W
Externí odkaz:
http://arxiv.org/abs/2407.09380
Compositional Zero-Shot Learning (CZSL) aims to learn semantic primitives (attributes and objects) from seen compositions and recognize unseen attribute-object compositions. Existing CZSL datasets focus on single attributes, neglecting the fact that
Externí odkaz:
http://arxiv.org/abs/2406.12757
Autor:
Yu, Yan-Heng, Wang, Sai
Publikováno v:
Sci. China-Phys. Mech. Astron. 68, 210412 (2025)
Silk damping is well known in the study of cosmic microwave background (CMB) and accounts for suppression of the angular power spectrum of CMB on large angular multipoles. In this Letter, we study the effect of Silk damping on the scalar-induced grav
Externí odkaz:
http://arxiv.org/abs/2405.02960
Publikováno v:
JCAP05(2024)109
Studying the primordial non-Gaussianity of inflationary perturbations is crucial for testing the inflation paradigm of the early universe. In this work, we conduct a comprehensive analysis of the angular bispectrum and trispectrum of scalar-induced g
Externí odkaz:
http://arxiv.org/abs/2403.00238
Generative AI capabilities have grown substantially in recent years, raising renewed concerns about potential malicious use of generated data, or "deep fakes". However, deep fake datasets have not kept up with generative AI advancements sufficiently
Externí odkaz:
http://arxiv.org/abs/2312.10539