Zobrazeno 1 - 10
of 44 407
pro vyhledávání: '"Xiaoqiang An"'
A recursive extension of the hybrid tetrahedron method for Brillouin-zone integration is proposed, allowing iterative tetrahedron refinement and significantly reducing the error from the linear tetrahedron method. The Brillouin-zone integral is expre
Externí odkaz:
http://arxiv.org/abs/2411.17162
Autor:
Ai, Yuang, Zhou, Xiaoqiang, Huang, Huaibo, Han, Xiaotian, Chen, Zhengyu, You, Quanzeng, Yang, Hongxia
Image restoration (IR) in real-world scenarios presents significant challenges due to the lack of high-capacity models and comprehensive datasets. To tackle these issues, we present a dual strategy: GenIR, an innovative data curation pipeline, and Dr
Externí odkaz:
http://arxiv.org/abs/2410.18666
Autor:
Wang, Xiaoqiang, Liu, Bang
Large language models (LLMs) and large multimodal models (LMMs) have shown great potential in automating complex tasks like web browsing and gaming. However, their ability to generalize across diverse applications remains limited, hindering broader u
Externí odkaz:
http://arxiv.org/abs/2410.18963
Autor:
Meng, Chang, Zhai, Chenhao, Wang, Xueliang, Liu, Shuchang, Feng, Xiaoqiang, Hu, Lantao, Li, Xiu, Li, Han, Gai, Kun
With the rise of short video platforms, video recommendation technology faces more complex challenges. Currently, there are multiple non-personalized modules in the video recommendation pipeline that urgently need personalized modeling techniques for
Externí odkaz:
http://arxiv.org/abs/2410.16755
Autor:
Xu, Chi, Qian, Rongsheng, Fang, Hao, Ma, Xiaoqiang, Atlas, William I., Liu, Jiangchuan, Spoljaric, Mark A.
Sonar radar captures visual representations of underwater objects and structures using sound wave reflections, making it essential for exploration, mapping, and continuous surveillance in wild ecosystems. Real-time analysis of sonar data is crucial f
Externí odkaz:
http://arxiv.org/abs/2410.19742
Autor:
Hua, Xiaoqiang, Peng, Linyu, Liu, Weijian, Cheng, Yongqiang, Wang, Hongqiang, Sun, Huafei, Wang, Zhenghua
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing 61, 5101815, 2023
This paper deals with the problem of detecting maritime targets embedded in nonhomogeneous sea clutter, where limited number of secondary data is available due to the heterogeneity of sea clutter. A class of linear discriminant analysis (LDA)-based m
Externí odkaz:
http://arxiv.org/abs/2409.17911
This study delves into the application potential of the large language models (LLMs) ChatGLM in the automatic generation of structured questions for National Teacher Certification Exams (NTCE). Through meticulously designed prompt engineering, we gui
Externí odkaz:
http://arxiv.org/abs/2408.09982
In the realm of heterogeneous mixed autonomy, vehicles experience dynamic spatial correlations and nonlinear temporal interactions in a complex, non-Euclidean space. These complexities pose significant challenges to traditional decision-making framew
Externí odkaz:
http://arxiv.org/abs/2408.08516
Autor:
Xu, Yinlong, Liu, Xiaoqiang, Kong, Zitai, Wu, Yixuan, Wang, Yue, Lu, Yingzhou, Gao, Honghao, Wu, Jian, Xu, Hongxia
Cardiac arrhythmia, a condition characterized by irregular heartbeats, often serves as an early indication of various heart ailments. With the advent of deep learning, numerous innovative models have been introduced for diagnosing arrhythmias using E
Externí odkaz:
http://arxiv.org/abs/2407.20893
Contextual dueling bandit is used to model the bandit problems, where a learner's goal is to find the best arm for a given context using observed noisy preference feedback over the selected arms for the past contexts. However, existing algorithms ass
Externí odkaz:
http://arxiv.org/abs/2407.17112