Zobrazeno 1 - 10
of 74 687
pro vyhledávání: '"ZHANG, Jun"'
Autor:
Zhang, Xinjie, Liu, Zhening, Zhang, Yifan, Ge, Xingtong, He, Dailan, Xu, Tongda, Wang, Yan, Lin, Zehong, Yan, Shuicheng, Zhang, Jun
4D Gaussian Splatting (4DGS) has recently emerged as a promising technique for capturing complex dynamic 3D scenes with high fidelity. It utilizes a 4D Gaussian representation and a GPU-friendly rasterizer, enabling rapid rendering speeds. Despite it
Externí odkaz:
http://arxiv.org/abs/2410.13613
We investigate time delays of gravitational wave and scalar wave scatterings around black hole backgrounds in scalar-Gauss-Bonnet effective field theories of gravity. By requiring infrared causality, we impose a lower bound on the cutoff scale of the
Externí odkaz:
http://arxiv.org/abs/2410.10973
Autor:
Xie, Jin-Tao, Feng, Yi, Li, Di, Zhang, Yong-Kun, Zhou, Dengke, Qu, Yuanhong, Cui, Xianghan, Fang, Jianhua, Xu, Jiaying, Miao, Chenchen, Yuan, Mao, Tsai, Chao-Wei, Wang, Pei, Niu, Chen-Hui, Chen, Xiang-Lei, Xue, Mengyao, Zhang, Jun-Shuo
Fast radio bursts (FRBs) are transient radio bursts of extragalactic origin characterized by millisecond durations and high luminosities. We report on observations of FRB 20240114A conducted with the Robert C. Byrd Green Bank Telescope (GBT) at frequ
Externí odkaz:
http://arxiv.org/abs/2410.10172
Autor:
Gao, Chen, Zhao, Baining, Zhang, Weichen, Mao, Jinzhu, Zhang, Jun, Zheng, Zhiheng, Man, Fanhang, Fang, Jianjie, Zhou, Zile, Cui, Jinqiang, Chen, Xinlei, Li, Yong
Embodied artificial intelligence emphasizes the role of an agent's body in generating human-like behaviors. The recent efforts on EmbodiedAI pay a lot of attention to building up machine learning models to possess perceiving, planning, and acting abi
Externí odkaz:
http://arxiv.org/abs/2410.09604
In multi-agent reinforcement learning (MARL), parameter sharing is commonly employed to enhance sample efficiency. However, the popular approach of full parameter sharing often leads to homogeneous policies among agents, potentially limiting the perf
Externí odkaz:
http://arxiv.org/abs/2410.08540
Autor:
Wang, Si Ran, Chen, Zhan Ye, Chen, Shao Nan, Dai, Jun Yan, Zhang, Jun Wei, Qi, Zhen Jie, Wu, Li Jie, Sun, Meng Ke, Zhou, Qun Yan, Li, Hui Dong, Luo, Zhang Jie, Cheng, Qiang, Cui, Tie Jun
Modern radar typically employs a chain architecture that consists of radio-frequency (RF) and intermediate frequency (IF) units, baseband digital signal processor, and information display. However, this architecture often results in high costs, signi
Externí odkaz:
http://arxiv.org/abs/2410.07576
Speculative decoding (SD) has emerged as a widely used paradigm to accelerate the inference of large language models (LLMs) without compromising generation quality. It works by first employing a compact model to draft multiple tokens efficiently and
Externí odkaz:
http://arxiv.org/abs/2410.06916
Autor:
Sun, Pei-Fa, Song, Yujae, Gao, Kang-Yu, Wang, Yu-Kai, Zhou, Changjun, Jeon, Sang-Woon, Zhang, Jun
UAVs are increasingly becoming vital tools in various wireless communication applications including internet of things (IoT) and sensor networks, thanks to their rapid and agile non-terrestrial mobility. Despite recent research, planning three-dimens
Externí odkaz:
http://arxiv.org/abs/2410.05759
Autor:
Liu, Bang, Zhang, Li-Hua, Wang, Ya-Jun, Zhang, Jun, Wang, Qi-Feng, Ma, Yu, Han, Tian-Yu, Zhang, Zheng-Yuan, Shao, Shi-Yao, Li, Qing, Chen, Han-Chao, Nan, Jia-Dou, Zhu, Dong-Yang, Yin, Yi-Ming, Shi, Bao-Sen, Ding, Dong-Sheng
Higgs and Goldstone modes manifest as fluctuations in the order parameter of system, offering insights into its phase transitions and symmetry properties. Exploring the dynamics of these collective excitations in a Rydberg atoms system advances vario
Externí odkaz:
http://arxiv.org/abs/2410.06047
Autor:
Zhang, Kechi, Li, Ge, Dong, Yihong, Xu, Jingjing, Zhang, Jun, Su, Jing, Liu, Yongfei, Jin, Zhi
Code generation models have shown significant potential for programming tasks. However, existing training methods like supervised fine-tuning face key limitations: they do not effectively teach models to prioritize correct over incorrect solutions in
Externí odkaz:
http://arxiv.org/abs/2410.05605