Zobrazeno 1 - 10
of 4 727
pro vyhledávání: '"Xiong,Hui"'
Fine-grained emotion recognition (FER) plays a vital role in various fields, such as disease diagnosis, personalized recommendations, and multimedia mining. However, existing FER methods face three key challenges in real-world applications: (i) they
Externí odkaz:
http://arxiv.org/abs/2412.13541
We perform a rigorous analysis of the $\pi K$ scattering at an unphysical pion mass $391~$MeV using the Roy-Steiner equations, which satisfy unitarity, analyticity and crossing symmetry, for the first time. Stable solutions of the Roy-Steiner equatio
Externí odkaz:
http://arxiv.org/abs/2412.03374
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
Autor:
Li, Jiangmeng, Zang, Zehua, Ji, Qirui, Sun, Chuxiong, Qiang, Wenwen, Zhang, Junge, Zheng, Changwen, Sun, Fuchun, Xiong, Hui
Representations learned by self-supervised approaches are generally considered to possess sufficient generalizability and discriminability. However, we disclose a nontrivial mutual-exclusion relationship between these critical representation properti
Externí odkaz:
http://arxiv.org/abs/2412.00542
Being closely connected to the origin of the nucleon mass, the gravitational form factors of the nucleon have attracted significant attention in recent years. We present the first model-independent precise determinations of the gravitational form fac
Externí odkaz:
http://arxiv.org/abs/2411.13398
Autor:
Wang, Jingyao, Guo, Huijie, Qiang, Wenwen, Li, Jiangmeng, Zheng, Changwen, Xiong, Hui, Hua, Gang
Humans excel at adapting perceptions and actions to diverse environments, enabling efficient interaction with the external world. This adaptive capability relies on the biological nervous system (BNS), which activates different brain regions for dist
Externí odkaz:
http://arxiv.org/abs/2411.06746
With the development of large language models (LLMs), the ability to handle longer contexts has become a key capability for Web applications such as cross-document understanding and LLM-powered search systems. However, this progress faces two major c
Externí odkaz:
http://arxiv.org/abs/2411.02886
Large Language Models (LLMs) have shown remarkable reasoning capabilities on complex tasks, but they still suffer from out-of-date knowledge, hallucinations, and opaque decision-making. In contrast, Knowledge Graphs (KGs) can provide explicit and edi
Externí odkaz:
http://arxiv.org/abs/2410.23875
Virtual Network Embedding (VNE) is a challenging combinatorial optimization problem that refers to resource allocation associated with hard and multifaceted constraints in network function virtualization (NFV). Existing works for VNE struggle to hand
Externí odkaz:
http://arxiv.org/abs/2410.22999
Autor:
Yang, Yiqian, Duan, Yiqun, Jo, Hyejeong, Zhang, Qiang, Xu, Renjing, Jones, Oiwi Parker, Hu, Xuming, Lin, Chin-teng, Xiong, Hui
This paper introduces NeuGPT, a groundbreaking multi-modal language generation model designed to harmonize the fragmented landscape of neural recording research. Traditionally, studies in the field have been compartmentalized by signal type, with EEG
Externí odkaz:
http://arxiv.org/abs/2410.20916