Zobrazeno 1 - 10
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pro vyhledávání: '"Guo, Yifan"'
Autor:
Guo, Yifan
The hybrid analog/digital architecture that connects a limited number of RF chains to multiple antennas through phase shifters could effectively address the energy consumption issues in massive multiple-input multiple-output (MIMO) systems. However,
Externí odkaz:
http://arxiv.org/abs/2410.09427
Coordination of multi-robot systems (MRSs) relies on efficient sensing and reliable communication among the robots. However, the sensors and communication channels of these robots are often vulnerable to cyberattacks and faults, which can disrupt the
Externí odkaz:
http://arxiv.org/abs/2408.11155
Autor:
Li, Xinghua, Guo, Yifan, Xiang, Xiao, Quan, Runai, Cao, Mingtao, Dong, Ruifang, Liu, Tao, Li, Ming, Zhang, Shougang
Quantum microwave photonics (QMWP) is an innovative approach that combines energy-time entangled biphoton sources as the optical carrier with time-correlated single-photon detection for high-speed RF signal recovery. This groundbreaking method offers
Externí odkaz:
http://arxiv.org/abs/2407.02787
Autor:
Li, Xinghua, Guo, Yifan, Xiang, Xiao, Quan, Runai, Cao, Mingtao, Dong, Ruifang, Liu, Tao, Li, Ming, Zhang, Shougang
As one of the most fundamental functionalities of microwave photonics, microwave frequency mixing plays an essential role in modern radars and wireless communication systems. However, the commonly utilized intensity modulation in the systems often le
Externí odkaz:
http://arxiv.org/abs/2407.02774
Autor:
Wang, Chen, Ji, Kaiyi, Geng, Junyi, Ren, Zhongqiang, Fu, Taimeng, Yang, Fan, Guo, Yifan, He, Haonan, Chen, Xiangyu, Zhan, Zitong, Du, Qiwei, Su, Shaoshu, Li, Bowen, Qiu, Yuheng, Du, Yi, Li, Qihang, Yang, Yifan, Lin, Xiao, Zhao, Zhipeng
Data-driven methods such as reinforcement and imitation learning have achieved remarkable success in robot autonomy. However, their data-centric nature still hinders them from generalizing well to ever-changing environments. Moreover, collecting larg
Externí odkaz:
http://arxiv.org/abs/2406.16087
This paper considers a Min-Max Multiple Traveling Salesman Problem (MTSP), where the goal is to find a set of tours, one for each agent, to collectively visit all the cities while minimizing the length of the longest tour. Though MTSP has been widely
Externí odkaz:
http://arxiv.org/abs/2405.00285
Autor:
Guo, Yifan
We show that for the Green's function on an area-minimizing boundary, it is bounded below universally by the Euclidean Green's function. We also obtain asymptotics of the Green's function near the pole and infinity. These are done by proving a $C^\al
Externí odkaz:
http://arxiv.org/abs/2404.00119
Autor:
Guo, Yifan
We are interested in finding nonlinear polynomials $P$ on $\mathbb{R}^n$ that solves the minimal surface equation. We first prove a structure theorem on such polynomials. We show that the highest degree term $P_m$ must factor as $P_0^kQ_m$ where $k$
Externí odkaz:
http://arxiv.org/abs/2404.00115
Autor:
Li, Fanshi, Wang, Zhihui, Guo, Yifan, Liu, Congcong, Zhu, Yanjie, Zhou, Yihang, Li, Jun, Liang, Dong, Wang, Haifeng
In this paper, a dynamic dual-graph fusion convolutional network is proposed to improve Alzheimer's disease (AD) diagnosis performance. The following are the paper's main contributions: (a) propose a novel dynamic GCN architecture, which is an end-to
Externí odkaz:
http://arxiv.org/abs/2308.15484
This paper designs a simple, efficient and truthful mechanism to to elicit self-evaluations about items jointly owned by owners. A key application of this mechanism is to improve the peer review of large scientific conferences where a paper often has
Externí odkaz:
http://arxiv.org/abs/2306.11154