Zobrazeno 1 - 10
of 802
pro vyhledávání: '"Tang, Shuo"'
Autor:
Potter, Michael, Tang, Shuo, Ghanem, Paul, Stojanovic, Milica, Closas, Pau, Akcakaya, Murat, Wright, Ben, Necsoiu, Marius, Erdogmus, Deniz, Everett, Michael, Imbiriba, Tales
Continuously optimizing sensor placement is essential for precise target localization in various military and civilian applications. While information theory has shown promise in optimizing sensor placement, many studies oversimplify sensor measureme
Externí odkaz:
http://arxiv.org/abs/2405.18999
In this paper, we evaluate the electromagnetic and gravitational form factors as well as the corresponding generalized parton distributions of the electron using the Basis Light-front Quantization approach to QED. We compare our results with those fr
Externí odkaz:
http://arxiv.org/abs/2405.16995
Autor:
Lei, Zixing, Ni, Zhenyang, Han, Ruize, Tang, Shuo, Wang, Dingju, Feng, Chen, Chen, Siheng, Wang, Yanfeng
A consistent spatial-temporal coordination across multiple agents is fundamental for collaborative perception, which seeks to improve perception abilities through information exchange among agents. To achieve this spatial-temporal alignment, traditio
Externí odkaz:
http://arxiv.org/abs/2405.02965
Decentralized and lifelong-adaptive multi-agent collaborative learning aims to enhance collaboration among multiple agents without a central server, with each agent solving varied tasks over time. To achieve efficient collaboration, agents should: i)
Externí odkaz:
http://arxiv.org/abs/2403.06535
Aligning large language models (LLMs) with human values is imperative to mitigate potential adverse effects resulting from their misuse. Drawing from the sociological insight that acknowledging all parties' concerns is a key factor in shaping human v
Externí odkaz:
http://arxiv.org/abs/2402.05699
Global Navigation Satellite System (GNSS) is pervasive in navigation and positioning applications, where precise position and time referencing estimations are required. Conventional methods for GNSS positioning involve a two-step process, where inter
Externí odkaz:
http://arxiv.org/abs/2308.05262
A lower bound is an important tool for predicting the performance that an estimator can achieve under a particular statistical model. Bayesian bounds are a kind of such bounds which not only utilizes the observation statistics but also includes the p
Externí odkaz:
http://arxiv.org/abs/2303.00160
Multi-agent learning has gained increasing attention to tackle distributed machine learning scenarios under constrictions of data exchanging. However, existing multi-agent learning models usually consider data fusion under fixed and compulsory collab
Externí odkaz:
http://arxiv.org/abs/2210.17101
Autor:
Basili, Robert A. M., Qian, Wenyang, Tang, Shuo, Castellino, Austin M., Eshaghian-Wilner, Mary, Vary, James P., Luecke, Glenn, Khokhar, Ashfaq
The Quantum Fourier Transform (QFT) grants competitive advantages, especially in resource usage and circuit approximation, for performing arithmetic operations on quantum computers, and offers a potential route towards a numerical quantum-computation
Externí odkaz:
http://arxiv.org/abs/2112.09349