Zobrazeno 1 - 10
of 6 515
pro vyhledávání: '"YANG, Xiaodong"'
Autor:
Huang, Lan, Yang, Xiaodong
This paper studies the steady-state oscillations and the corresponding energy transfers in the two-DOF mechanical system with a grounded nonlinear energy sink (NES), under an external excitation. Based on the complexification-multiscale method, the s
Externí odkaz:
http://arxiv.org/abs/2411.09931
Autor:
Nie, Xinfang, Zhu, Xuanran, Fan, Yu-ang, Long, Xinyue, Liu, Hongfeng, Huang, Keyi, Xi, Cheng, Che, Liangyu, Zheng, Yuxuan, Feng, Yufang, Yang, Xiaodong, Lu, Dawei
Publikováno v:
Phys. Rev. Lett. 133, 140602 (2024)
The accurate determination of the electronic structure of strongly correlated materials using first principle methods is of paramount importance in condensed matter physics, computational chemistry, and material science. However, due to the exponenti
Externí odkaz:
http://arxiv.org/abs/2410.07808
3D perception in LiDAR point clouds is crucial for a self-driving vehicle to properly act in 3D environment. However, manually labeling point clouds is hard and costly. There has been a growing interest in self-supervised pre-training of 3D perceptio
Externí odkaz:
http://arxiv.org/abs/2409.06827
Quantum control plays a crucial role in enhancing precision scaling for quantum sensing. However, most existing protocols require perfect control, even though real-world devices inevitably have control imperfections. Here, we consider a fundamental s
Externí odkaz:
http://arxiv.org/abs/2409.04223
Recent studies show that well-devised perturbations on graph structures or node features can mislead trained Graph Neural Network (GNN) models. However, these methods often overlook practical assumptions, over-rely on heuristics, or separate vital at
Externí odkaz:
http://arxiv.org/abs/2408.10948
Autor:
Yang, Xiaodong, Chen, Huiyuan, Yan, Yuchen, Tang, Yuxin, Zhao, Yuying, Xu, Eric, Cai, Yiwei, Tong, Hanghang
The learning objective is integral to collaborative filtering systems, where the Bayesian Personalized Ranking (BPR) loss is widely used for learning informative backbones. However, BPR often experiences slow convergence and suboptimal local optima,
Externí odkaz:
http://arxiv.org/abs/2406.16170
High-quality control is a fundamental requirement for quantum computation, but practically it is often hampered by the presence of various types of noises, which can be static or time-dependent. In many realistic scenarios, multiple noise sources coe
Externí odkaz:
http://arxiv.org/abs/2403.00298
Autor:
Huang, Lan, Yang, Xiaodong
Considerable attention has been given to the use of a nonlinear energy sink (NES) as a nonlinear vibration absorber. The NES is an efficient passive control device, which has been the focus of extensive research. In this paper, the modal interactions
Externí odkaz:
http://arxiv.org/abs/2401.16869
In this work, we theoretically investigate the generalization properties of neural networks (NN) trained by stochastic gradient descent (SGD) algorithm with large learning rates. Under such a training regime, our finding is that, the oscillation of t
Externí odkaz:
http://arxiv.org/abs/2310.17074
3D perception based on the representations learned from multi-camera bird's-eye-view (BEV) is trending as cameras are cost-effective for mass production in autonomous driving industry. However, there exists a distinct performance gap between multi-ca
Externí odkaz:
http://arxiv.org/abs/2309.15109