Zobrazeno 1 - 10
of 3 232
pro vyhledávání: '"Hao, Xiang"'
Speech enhancement is critical for improving speech intelligibility and quality in various audio devices. In recent years, deep learning-based methods have significantly improved speech enhancement performance, but they often come with a high computa
Externí odkaz:
http://arxiv.org/abs/2410.04785
Autor:
Liu, Xin, Tu, Shijie, Hu, Yiwen, Peng, Yifan, Han, Yubing, Kuang, Cuifang, Liu, Xu, Hao, Xiang
Tightly focused optical fields are essential in nano-optics, but their applications have been limited by the challenges of accurate yet efficient characterization. In this article, we develop an in situ method for reconstructing the fully vectorial i
Externí odkaz:
http://arxiv.org/abs/2408.14852
Autor:
Liu, Anran, Lin, Cheng, Liu, Yuan, Long, Xiaoxiao, Dou, Zhiyang, Guo, Hao-Xiang, Luo, Ping, Wang, Wenping
Recently, the emergence of diffusion models has opened up new opportunities for single-view reconstruction. However, all the existing methods represent the target object as a closed mesh devoid of any structural information, thus neglecting the part-
Externí odkaz:
http://arxiv.org/abs/2405.16888
Model editing is an emerging field that focuses on updating the knowledge embedded within large language models (LLMs) without extensive retraining. However, current model editing methods significantly compromise the general abilities of LLMs as the
Externí odkaz:
http://arxiv.org/abs/2405.16821
Autor:
Zhang, Yan-Qiu, Lin, Hao-Xiang, Xiong, Shao-Lin, Li, Zhuo, Ge, Ming-Yu, Wang, Chen-Wei, Yi, Shu-Xu, Zhang, Zhen, Zhang, Shuang-Nan, Song, Li-Ming, Zheng, Chao, Xue, Wang-Chen, Liu, Jia-Cong, Tan, Wen-Jun, Wang, Yue, Zhang, Wen-Long
Publikováno v:
ApJL 972 L25 (2024)
Gamma-ray bursts (GRBs) are believed to launch relativistic jets, which generate prompt emission by internal processes, and produce long-lasting afterglows by driving external shocks into surrounding medium. However, how the jet powers the external s
Externí odkaz:
http://arxiv.org/abs/2404.03229
Autor:
Yao, Jincao, Wang, Yunpeng, Lei, Zhikai, Wang, Kai, Li, Xiaoxian, Zhou, Jianhua, Hao, Xiang, Shen, Jiafei, Wang, Zhenping, Ru, Rongrong, Chen, Yaqing, Zhou, Yahan, Chen, Chen, Zhang, Yanming, Liang, Ping, Xu, Dong
An artificial intelligence-generated content-enhanced computer-aided diagnosis (AIGC-CAD) model, designated as ThyGPT, has been developed. This model, inspired by the architecture of ChatGPT, could assist radiologists in assessing the risk of thyroid
Externí odkaz:
http://arxiv.org/abs/2402.02401
Autor:
Gu, Jia-Chen, Xu, Hao-Xiang, Ma, Jun-Yu, Lu, Pan, Ling, Zhen-Hua, Chang, Kai-Wei, Peng, Nanyun
Model editing is a technique that edits the large language models (LLMs) with updated knowledge to alleviate hallucinations without resource-intensive retraining. While current model editing methods can effectively modify a model's behavior within a
Externí odkaz:
http://arxiv.org/abs/2401.04700
Neural radiance field (NeRF) has achieved great success in novel view synthesis and 3D representation for static scenarios. Existing dynamic NeRFs usually exploit a locally dense grid to fit the deformation field; however, they fail to capture the gl
Externí odkaz:
http://arxiv.org/abs/2312.09743
In computational optics, numerical modeling of diffraction between arbitrary planes offers unparalleled flexibility. However, existing methods suffer from the trade-off between computational accuracy and efficiency. To resolve this dilemma, we presen
Externí odkaz:
http://arxiv.org/abs/2312.06167
Publikováno v:
Front. Phys. 19(6), 64203 (2024)
The values of the low-energy constants (LECs) are very important in the chiral perturbation theory. This paper adopts a Bayesian method with the truncation errors to globally fit eight next-to-leading order (NLO) LECs $L_i^r$ and next-to-next-leading
Externí odkaz:
http://arxiv.org/abs/2311.10423