Zobrazeno 1 - 10
of 6 760
pro vyhledávání: '"WU, Shuang"'
Synchrotron radiation sources play a crucial role in fields such as materials science, biology, and chemistry. The beamline, a key subsystem of the synchrotron, modulates and directs the radiation to the sample for analysis. However, the alignment of
Externí odkaz:
http://arxiv.org/abs/2411.12183
Training deep neural networks--and more recently, large models--demands efficient and scalable optimizers. Adaptive gradient algorithms like Adam, AdamW, and their variants have been central to this task. Despite the development of numerous variance
Externí odkaz:
http://arxiv.org/abs/2411.10438
By viewing black hole solutions as topological defects in thermodynamic parameter space, we unveil a novel topological class and two new topological subclasses, respectively denoted $W^{0-\leftrightarrow 1+}$, $\overline{W}^{1+}$, and $\hat{W}^{1+}$,
Externí odkaz:
http://arxiv.org/abs/2411.10102
Autor:
Chen, Ruoxin, Wang, Zhe, Zhang, Ke-Yue, Wu, Shuang, Sun, Jiamu, Wang, Shouli, Yao, Taiping, Ding, Shouhong
Recent advancements in image mixing and generative data augmentation have shown promise in enhancing image classification. However, these techniques face the challenge of balancing semantic fidelity with diversity. Specifically, image mixing involves
Externí odkaz:
http://arxiv.org/abs/2411.02592
Autor:
Sun, Zeyuan, Hong, Canyu, Chen, Yi, Sheng, Zhiyuan, Wu, Shuang, Wang, Zhanshan, Liang, Bokai, Liu, Wei-Tao, Yuan, Zhe, Wu, Yizheng, Mi, Qixi, Liu, Zhongkai, Shen, Jian, Wu, Shiwei
Polymorphism, commonly denoting the variety of molecular or crystal structures, is a vital element in many natural science disciplines. In van der Waals layered antiferromagnets, a new type of magnetic polymorphism is allowed by having multiple layer
Externí odkaz:
http://arxiv.org/abs/2410.02993
Autor:
Wu, Shuang-Qing, Wu, Di
Publikováno v:
Phys. Rev. D 110, 104072 (2024)
It remains a long-standing problem, unsettled for almost two decades in the general relativity community, ever since Griffiths and Podolsky demonstrated in Ref. [J.B. Griffiths and J. Podolsky, Class. Quant. Grav. 22, 3467 (2005)] that the type-D NUT
Externí odkaz:
http://arxiv.org/abs/2409.06733
Typical inverse rendering methods focus on learning implicit neural scene representations by modeling the geometry, materials and illumination separately, which entails significant computations for optimization. In this work we design a Unified Voxel
Externí odkaz:
http://arxiv.org/abs/2407.19542
In the field of medical imaging, particularly in tasks related to early disease detection and prognosis, understanding the reasoning behind AI model predictions is imperative for assessing their reliability. Conventional explanation methods encounter
Externí odkaz:
http://arxiv.org/abs/2406.15182
Autor:
Wu, Shuang, Amini, Arash A.
We consider an online decision-making problem with a reward function defined over graph-structured data. We formally formulate the problem as an instance of graph action bandit. We then propose \texttt{GNN-TS}, a Graph Neural Network (GNN) powered Th
Externí odkaz:
http://arxiv.org/abs/2406.10686
Autor:
Maizel, Rachel E., Wu, Shuang, Balakrishnan, Purnima P., Grutter, Alexander J., Kinane, Christy J., Caruana, Andrew J., Nakarmi, Prabandha, Nepal, Bhuwan, Smith, David A., Lim, Youngmin, Jones, Julia L., Thomas, Wyatt C., Zhao, Jing, Michel, F. Marc, Mewes, Tim, Emori, Satoru
Energy-efficient spintronic devices require a large spin-orbit torque (SOT) and low damping to excite magnetic precession. In conventional devices with heavy-metal/ferromagnet bilayers, reducing the ferromagnet thickness to $\sim$1 nm enhances the SO
Externí odkaz:
http://arxiv.org/abs/2406.09874