Zobrazeno 1 - 10
of 6 576
pro vyhledávání: '"Wang, Zhiyong"'
Autor:
Sabaghi, Davood, Wang, Zhiyong, Bhauriyal, Preeti, Lu, Qiongqiong, Morag, Ahiud, Mikhailovia, Daria, Hashemi, Payam, Li, Dongqi, Neumann, Christof, Liao, Zhongquan, Dominic, Anna Maria, Shaygan Nia, Ali, Dong, Renhao, Zschech, Ehrenfried, Turchanin, Andrey, Heine, Thomas, Yu, Minghao, Feng, Xinliang
The anion-intercalation chemistries of graphite have the potential to construct batteries with promising energy and power breakthroughs. Here, we report the use of an ultrathin, positively charged two-dimensional poly(pyridinium salt) membrane (C2DP)
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A91559
https://tud.qucosa.de/api/qucosa%3A91559/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A91559/attachment/ATT-0/
In this paper, we focus on the functional and geometrical aspects of the fractional Sobolev capacity, the Besov capacity and the Riesz capacity on stratified lie groups, respectively. Firstly, we provide a new Carleson characterization of the extensi
Externí odkaz:
http://arxiv.org/abs/2409.18720
Autor:
Wang, Zhiyong, Yang, Chenglang
In this paper, we study the uniform measure for the self-conjugate partitions. We derive the $q$-difference equation which is satisfied by the $n$-point correlation function related to the uniform measure. As applications, we give explicit formulas f
Externí odkaz:
http://arxiv.org/abs/2409.14124
Autor:
Wang, Zhiyong, Fu, Ruibo, Wen, Zhengqi, Tao, Jianhua, Wang, Xiaopeng, Xie, Yuankun, Qi, Xin, Shi, Shuchen, Lu, Yi, Liu, Yukun, Li, Chenxing, Liu, Xuefei, Li, Guanjun
Speech synthesis technology has posed a serious threat to speaker verification systems. Currently, the most effective fake audio detection methods utilize pretrained models, and integrating features from various layers of pretrained model further enh
Externí odkaz:
http://arxiv.org/abs/2409.11909
Autor:
Qi, Xin, Fu, Ruibo, Wen, Zhengqi, Wang, Tao, Qiang, Chunyu, Tao, Jianhua, Li, Chenxing, Lu, Yi, Shi, Shuchen, Wang, Zhiyong, Wang, Xiaopeng, Xie, Yuankun, Liu, Yukun, Liu, Xuefei, Li, Guanjun
In recent years, speech diffusion models have advanced rapidly. Alongside the widely used U-Net architecture, transformer-based models such as the Diffusion Transformer (DiT) have also gained attention. However, current DiT speech models treat Mel sp
Externí odkaz:
http://arxiv.org/abs/2409.11835
Partial to Partial Point Cloud Registration (partial PCR) remains a challenging task, particularly when dealing with a low overlap rate. In comparison to the full-to-full registration task, we find that the objective of partial PCR is still not well-
Externí odkaz:
http://arxiv.org/abs/2409.05065
Autor:
Dai, Yudi, Wang, Zhiyong, Lin, Xiping, Wen, Chenglu, Xu, Lan, Shen, Siqi, Ma, Yuexin, Wang, Cheng
We introduce HiSC4D, a novel Human-centered interaction and 4D Scene Capture method, aimed at accurately and efficiently creating a dynamic digital world, containing large-scale indoor-outdoor scenes, diverse human motions, rich human-human interacti
Externí odkaz:
http://arxiv.org/abs/2409.04398
Masked point modeling methods have recently achieved great success in self-supervised learning for point cloud data. However, these methods are sensitive to rotations and often exhibit sharp performance drops when encountering rotational variations.
Externí odkaz:
http://arxiv.org/abs/2409.00353
Extreme Multimodal Summarization with Multimodal Output (XMSMO) becomes an attractive summarization approach by integrating various types of information to create extremely concise yet informative summaries for individual modalities. Existing methods
Externí odkaz:
http://arxiv.org/abs/2408.15829
Autor:
Xie, Yuankun, Xiong, Chenxu, Wang, Xiaopeng, Wang, Zhiyong, Lu, Yi, Qi, Xin, Fu, Ruibo, Liu, Yukun, Wen, Zhengqi, Tao, Jianhua, Li, Guanjun, Ye, Long
Currently, Audio Language Models (ALMs) are rapidly advancing due to the developments in large language models and audio neural codecs. These ALMs have significantly lowered the barrier to creating deepfake audio, generating highly realistic and dive
Externí odkaz:
http://arxiv.org/abs/2408.10853