Zobrazeno 1 - 10
of 17 783
pro vyhledávání: '"Wang, Rong A"'
Searching dark portal particle is a hot topic in particle physics frontier. We present a simulation study of an experiment targeted for searching the scalar portal particle at Huizhou $\eta$ factory. The HIAF high-intensity proton beam and a high eve
Externí odkaz:
http://arxiv.org/abs/2412.03196
Large Language Models (LLMs) have demonstrated impressive capabilities across various tasks. However, LLMs often struggle with spatial reasoning which is one essential part of reasoning and inference and requires understanding complex relationships b
Externí odkaz:
http://arxiv.org/abs/2411.18564
In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied to large graphs, especially those sparse ones, this method performs un
Externí odkaz:
http://arxiv.org/abs/2411.01792
We propose the DPSM method, a density-based node clustering approach that automatically determines the number of clusters and can be applied in both data space and graph space. Unlike traditional density-based clustering methods, which necessitate ca
Externí odkaz:
http://arxiv.org/abs/2411.01780
Autor:
Bai, Ai-Yu, Cai, Hanjie, Chen, Chang-Lin, Chen, Siyuan, Chen, Xurong, Chen, Yu, Cheng, Weibin, Dai, Ling-Yun, Fan, Rui-Rui, Gong, Li, Guo, Zihao, He, Yuan, Hou, Zhilong, Huang, Yinyuan, Jia, Huan, Jiang, Hao, Jing, Han-Tao, Kang, Xiaoshen, Li, Hai-Bo, Li, Jincheng, Li, Yang, Liu, Shulin, Lu, Guihao, Miao, Han, Ning, Yunsong, Niu, Jianwei, Peng, Huaxing, Petrov, Alexey A., Qin, Yuanshuai, Sun, Mingchen, Tang, Jian, Tang, Jing-Yu, Tian, Ye, Wang, Rong, Wang, Xiaodong, Wang, Zhichao, Wu, Chen, Xing, Tian-Yu, Xiong, Weizhi, Xu, Yu, Yan, Baojun, Yao, De-Liang, Yu, Tao, Yuan, Ye, Yuan, Yi, Zhang, Yao, Zhang, Yongchao, Zhang, Zhilv, Zhao, Guang, Zhao, Shihan
The spontaneous conversion of muonium to antimuonium is one of the interesting charged lepton flavor violation phenomena, offering a sensitive probe of potential new physics and serving as a tool to constrain the parameter space beyond the Standard M
Externí odkaz:
http://arxiv.org/abs/2410.18817
Autor:
Sun, Kun, Wang, Rong
Semantic relevance metrics can capture both the inherent semantics of individual objects and their relationships to other elements within a visual scene. Numerous previous research has demonstrated that these metrics can influence human visual proces
Externí odkaz:
http://arxiv.org/abs/2410.09921
Autor:
Wang, Rong
The low-$Q^2$ nucleon structure is given with a simple nonperturbative input of three valence quarks and an all-order infrared-safe evolution scheme, showing some consistences with the experimental data. The resonance peaks in the experimental data o
Externí odkaz:
http://arxiv.org/abs/2410.00468
Autor:
Zheng, Chunran, Xu, Wei, Zou, Zuhao, Hua, Tong, Yuan, Chongjian, He, Dongjiao, Zhou, Bingyang, Liu, Zheng, Lin, Jiarong, Zhu, Fangcheng, Ren, Yunfan, Wang, Rong, Meng, Fanle, Zhang, Fu
This paper proposes FAST-LIVO2: a fast, direct LiDAR-inertial-visual odometry framework to achieve accurate and robust state estimation in SLAM tasks and provide great potential in real-time, onboard robotic applications. FAST-LIVO2 fuses the IMU, Li
Externí odkaz:
http://arxiv.org/abs/2408.14035
Recent advances in unsupervised deep graph clustering have been significantly promoted by contrastive learning. Despite the strides, most graph contrastive learning models face challenges: 1) graph augmentation is used to improve learning diversity,
Externí odkaz:
http://arxiv.org/abs/2408.12071
Autor:
Yuan, Jinghui, Zeng, Chusheng, Xie, Fangyuan, Cao, Zhe, Chen, Mulin, Wang, Rong, Nie, Feiping, Yuan, Yuan
Clustering is a fundamental task in machine learning and data science, and similarity graph-based clustering is an important approach within this domain. Doubly stochastic symmetric similarity graphs provide numerous benefits for clustering problems
Externí odkaz:
http://arxiv.org/abs/2408.02932