Zobrazeno 1 - 10
of 63 141
pro vyhledávání: '"HUO, P."'
Autor:
Fan, Yiyan, Zhang, Qinghua, Lin, Ting, Bai, He, Huo, Chuanrui, Jin, Qiao, Deng, Tielong, Choi, Songhee, Chen, Shengru, Hong, Haitao, Cui, Ting, Wang, Qianying, Rong, Dongke, Liu, Chen, Ge, Chen, Zhu, Tao, Gu, Lin, Jin, Kuijuan, Chen, Jun, Guo, Er-Jia
Creating a heterostructure by combining two magnetically and structurally distinct ruthenium oxides is a crucial approach for investigating their emergent magnetic states and interactions. Previously, research has predominantly concentrated on the in
Externí odkaz:
http://arxiv.org/abs/2412.03830
Autor:
Zheng, Yupeng, Xia, Zhongpu, Zhang, Qichao, Zhang, Teng, Lu, Ben, Huo, Xiaochuang, Han, Chao, Li, Yixian, Yu, Mengjie, Jin, Bu, Yang, Pengxuan, Zheng, Yuhang, Yuan, Haifeng, Jiang, Ke, Jia, Peng, Lang, Xianpeng, Zhao, Dongbin
The end-to-end autonomous driving paradigm has recently attracted lots of attention due to its scalability. However, existing methods are constrained by the limited scale of real-world data, which hinders a comprehensive exploration of the scaling la
Externí odkaz:
http://arxiv.org/abs/2412.02689
Autor:
Huo, Qiang
Tsukamoto (2022) introduced the notion of Bedford-McMullen carpet system, a subsystem of $([0,1]^{\mathbb{N}}\times[0,1]^{\mathbb{N}},shift)$ whose metric mean dimension and mean Hausdorff dimension does not coincide in general. The aim of this paper
Externí odkaz:
http://arxiv.org/abs/2412.02278
Autor:
Zhu, Junchao, Deng, Ruining, Yao, Tianyuan, Xiong, Juming, Qu, Chongyu, Guo, Junlin, Lu, Siqi, Yin, Mengmeng, Wang, Yu, Zhao, Shilin, Yang, Haichun, Huo, Yuankai
Spatial transcriptomics (ST) is an emerging technology that enables medical computer vision scientists to automatically interpret the molecular profiles underlying morphological features. Currently, however, most deep learning-based ST analyses are l
Externí odkaz:
http://arxiv.org/abs/2412.03026
Autor:
Dang, Yunkai, Huang, Kaichen, Huo, Jiahao, Yan, Yibo, Huang, Sirui, Liu, Dongrui, Gao, Mengxi, Zhang, Jie, Qian, Chen, Wang, Kun, Liu, Yong, Shao, Jing, Xiong, Hui, Hu, Xuming
The rapid development of Artificial Intelligence (AI) has revolutionized numerous fields, with large language models (LLMs) and computer vision (CV) systems driving advancements in natural language understanding and visual processing, respectively. T
Externí odkaz:
http://arxiv.org/abs/2412.02104
The bullwhip study has received a lot of attention in the literature, but with conflicting results, especially in the context of data aggregation. In this paper, we investigate three widely studied factors in bullwhip measurement: time aggregation, p
Externí odkaz:
http://arxiv.org/abs/2412.00716
Autor:
Yue, Jialin, Yao, Tianyuan, Deng, Ruining, Lu, Siqi, Guo, Junlin, Liu, Quan, Yin, Mengmeng, Xiong, Juming, Yang, Haichun, Huo, Yuankai
Artificial intelligence (AI) has demonstrated significant success in automating the detection of glomeruli, the key functional units of the kidney, from whole slide images (WSIs) in kidney pathology. However, existing open-source tools are often dist
Externí odkaz:
http://arxiv.org/abs/2411.18795
We present DGGS, a novel framework addressing the previously unexplored challenge of Distractor-free Generalizable 3D Gaussian Splatting (3DGS). It accomplishes two key objectives: fortifying generalizable 3DGS against distractor-laden data during bo
Externí odkaz:
http://arxiv.org/abs/2411.17605
Autor:
Yu, Lining, Yin, Mengmeng, Deng, Ruining, Liu, Quan, Yao, Tianyuan, Cui, Can, Guo, Junlin, Wang, Yu, Wang, Yaohong, Zhao, Shilin, Yang, Haichun, Huo, Yuankai
Segmenting glomerular intraglomerular tissue and lesions traditionally depends on detailed morphological evaluations by expert nephropathologists, a labor-intensive process susceptible to interobserver variability. Our group previously developed the
Externí odkaz:
http://arxiv.org/abs/2411.16961
Autor:
Wu, Yifei, Xiong, Juming, Yao, Tianyuan, Deng, Ruining, Guo, Junlin, Yue, Jialin, Chowdhury, Naweed, Huo, Yuankai
Chronic rhinosinusitis (CRS) is characterized by persistent inflammation in the paranasal sinuses, leading to typical symptoms of nasal congestion, facial pressure, olfactory dysfunction, and discolored nasal drainage, which can significantly impact
Externí odkaz:
http://arxiv.org/abs/2411.15942