Zobrazeno 1 - 10
of 1 385
pro vyhledávání: '"Chen, Haoran"'
Autor:
Xu, Hongyue, Jiang, Nan, Chen, Haoran, Chen, Yi, Wu, Tong, Cui, Yongwei, Wu, Yunzhuo, Sheng, Zhiyuan, Sun, Zeyuan, Xu, Jia, Mi, Qixi, Wu, Shiwei, Yu, Weichao, Wu, Yizheng
Van der Waals (vdW) antiferromagnets are exceptional platforms for exploring the spin dynamics of antiferromagnetic materials owing to their weak interlayer exchange coupling. In this study, we examined the antiferromagnetic resonance spectra of anis
Externí odkaz:
http://arxiv.org/abs/2409.12501
Various clathrate superhydride superconductors have been found to possess hydrogen deficiency in experimental samples, while their impacts on superconductivity are often neglected. In this study, we investigate the superconductivity of lanthanum supe
Externí odkaz:
http://arxiv.org/abs/2409.09836
Underwater communication is essential for environmental monitoring, marine biology research, and underwater exploration. Traditional underwater communication faces limitations like low bandwidth, high latency, and susceptibility to noise, while seman
Externí odkaz:
http://arxiv.org/abs/2408.12616
Autor:
Huang, Chensen, Zhu, Guibo, Wang, Xuepeng, Luo, Yifei, Ge, Guojing, Chen, Haoran, Yi, Dong, Wang, Jinqiao
To extend the context length of Transformer-based large language models (LLMs) and improve comprehension capabilities, we often face limitations due to computational resources and bounded memory storage capacity. This work introduces a method called
Externí odkaz:
http://arxiv.org/abs/2406.06110
Continual learning, also known as lifelong learning or incremental learning, refers to the process by which a model learns from a stream of incoming data over time. A common problem in continual learning is the classification layer's bias towards the
Externí odkaz:
http://arxiv.org/abs/2405.14318
Autor:
Pan, Zhuo, Liu, Jianbo, Wang, Pengjie, Mei, Zhusong, Cao, Zhengxuan, Kong, Defeng, Xu, Shirui, Liu, Zhipeng, Liang, Yulan, Peng, Ziyang, Xu, Tianqi, Song, Tan, Chen, Xun, Wu, Qingfan, Zhang, Yujia, Han, Qihang, Chen, Haoran, Zhao, Jiarui, Gao, Ying, Chen, Shiyou, Zhao, Yanying, Yan, Xueqing, Shou, Yinren, Ma, Wenjun
Direct laser acceleration of electrons in near-critical-density (NCD) carbon nanotube foams (CNFs) has its advantages in the high-efficiency generation of relativistic electrons and broadband X-rays. Here, we report the first simultaneous measurement
Externí odkaz:
http://arxiv.org/abs/2404.06862
Efficient control of antiferromagnetic (AFM) domain switching in thin films is vital for advancing antiferromagnet-based memory devices. In this study, we directly observed the current-driven switching process of CoO AFM domains in the Pt/CoO(001) bi
Externí odkaz:
http://arxiv.org/abs/2404.04000
Autor:
Xing, Zhen, Feng, Qijun, Chen, Haoran, Dai, Qi, Hu, Han, Xu, Hang, Wu, Zuxuan, Jiang, Yu-Gang
The recent wave of AI-generated content (AIGC) has witnessed substantial success in computer vision, with the diffusion model playing a crucial role in this achievement. Due to their impressive generative capabilities, diffusion models are gradually
Externí odkaz:
http://arxiv.org/abs/2310.10647
Recently, methods have been proposed for 3D open-vocabulary semantic segmentation. Such methods are able to segment scenes into arbitrary classes based on text descriptions provided during runtime. In this paper, we propose to the best of our knowled
Externí odkaz:
http://arxiv.org/abs/2309.05448
Image segmentation plays an essential role in nuclei image analysis. Recently, the segment anything model has made a significant breakthrough in such tasks. However, the current model exists two major issues for cell segmentation: (1) the image encod
Externí odkaz:
http://arxiv.org/abs/2308.12231