Zobrazeno 1 - 10
of 10 480
pro vyhledávání: '"WEI, TAO"'
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:
Deng, Jiangyi, Li, Xinfeng, Chen, Yanjiao, Bai, Yijie, Weng, Haiqin, Liu, Yan, Wei, Tao, Xu, Wenyuan
Malicious shell commands are linchpins to many cyber-attacks, but may not be easy to understand by security analysts due to complicated and often disguised code structures. Advances in large language models (LLMs) have unlocked the possibility of gen
Externí odkaz:
http://arxiv.org/abs/2409.02074
In quantum mechanics, the exchange symmetry of wave functions for identical particles has observable effects, including the widely studied Hong-Ou-Mandel (HOM) effect. A theoretical description using second quantization is elegant but abstract. In co
Externí odkaz:
http://arxiv.org/abs/2408.16205
Autor:
Zhuang, Ziyang, Miao, Chenfeng, Zou, Kun, Fang, Ming, Wei, Tao, Li, Zijian, Cheng, Ning, Hu, Wei, Wang, Shaojun, Xiao, Jing
Non-autoregressive (NAR) automatic speech recognition (ASR) models predict tokens independently and simultaneously, bringing high inference speed. However, there is still a gap in the accuracy of the NAR models compared to the autoregressive (AR) mod
Externí odkaz:
http://arxiv.org/abs/2406.08835
Autor:
Wang, Xiaowang, Gadre, Chaitanya A., Yang, Runqing, Zou, Wanjuan, Bin, Xing, Addiego, Christopher, Aoki, Toshihiro, Quan, Yujie, Peng, Wei-Tao, Huang, Yifeng, Du, Chaojie, Xu, Mingjie, Yan, Xingxu, Wu, Ruqian, Ong, Shyue Ping, Liao, Bolin, Cao, Penghui, Pan, Xiaoqing
Manipulating thermal properties in materials has been of fundamental importance for advancing innovative technologies. Heat carriers such as phonons are impeded by breaking crystal symmetry or periodicity. Notable methods of impeding the phonon propa
Externí odkaz:
http://arxiv.org/abs/2405.07464
Autor:
Du, Long-Kun, Hu, Chenyu, Liu, Shuang, Deng, Chenjin, Wang, Chaoran, Bo, Zunwang, Chen, Mingliang, Liu, Wei-Tao, Han, Shensheng
Computational imaging~(CI) has been attracting a lot of interest in recent years for its superiority over traditional imaging in various applications. In CI systems, information is generally acquired in an encoded form and subsequently decoded via pr
Externí odkaz:
http://arxiv.org/abs/2401.00032
Currently, sample-specific backdoor attacks (SSBAs) are the most advanced and malicious methods since they can easily circumvent most of the current backdoor defenses. In this paper, we reveal that SSBAs are not sufficiently stealthy due to their poi
Externí odkaz:
http://arxiv.org/abs/2312.04584
Despite being one of the oldest and most widely-used turbulence models in engineering CFD, the k-{\omega} model has not been fully understood theoretically because of its high non-linearity and complex model parameter setting. Here, a multi-layer ana
Externí odkaz:
http://arxiv.org/abs/2311.05454
Publikováno v:
Physics of Fluids 36, 085197 (2024)
The pressure gradient has a significant influence on the mean-flow properties of turbulent boundary layers. Conventional analytical studies on PG turbulent boundary layers are conducted separately for the viscous sub-layer and overlap layer only, wit
Externí odkaz:
http://arxiv.org/abs/2311.01903
Data augmentation is vital to the generalization ability and robustness of deep neural networks (DNNs) models. Existing augmentation methods for speaker verification manipulate the raw signal, which are time-consuming and the augmented samples lack d
Externí odkaz:
http://arxiv.org/abs/2310.12111