Zobrazeno 1 - 10
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pro vyhledávání: '"WANG, Neng"'
In recent years, the application of generative artificial intelligence (GenAI) in financial analysis and investment decision-making has gained significant attention. However, most existing approaches rely on single-agent systems, which fail to fully
Externí odkaz:
http://arxiv.org/abs/2411.04788
Heat transfer enhancement of N-Ga-Al semiconductor heterostructure interfaces is critical for the heat dissipation in GaN-based electronic devices, while the effect of the AlxGa(1-x)N transition layer component concentration and thickness on the heat
Externí odkaz:
http://arxiv.org/abs/2410.08468
Autor:
Zhang, Ruo-Yang, Cui, Xiaohan, Zeng, Yuan-Song, Chen, Jin, Liu, Wenzhe, Wang, Mudi, Wang, Dongyang, Zhang, Zhao-Qing, Wang, Neng, Wu, Geng-Bo, Chan, C. T.
Photonic double-zero-index media, distinguished by concurrently zero-valued permittivity and permeability, exhibit extraordinary properties not found in nature. Remarkably, the notion of zero-index can be substantially expanded by generalizing the co
Externí odkaz:
http://arxiv.org/abs/2408.06182
Loop closing is a crucial component in SLAM that helps eliminate accumulated errors through two main steps: loop detection and loop pose correction. The first step determines whether loop closing should be performed, while the second estimates the 6-
Externí odkaz:
http://arxiv.org/abs/2407.08106
Recent experiments have indicated that employing nanostructures can enhance interfacial heat transport, but the mechanism by which different structural morphologies and dimensions contribute to the full-spectrum phonon interfacial transport remains u
Externí odkaz:
http://arxiv.org/abs/2406.19068
Autor:
Wang, Neng, Guo, Ruibin, Shi, Chenghao, Wang, Ziyue, Zhang, Hui, Lu, Huimin, Zheng, Zhiqiang, Chen, Xieyuanli
4D LiDAR semantic segmentation, also referred to as multi-scan semantic segmentation, plays a crucial role in enhancing the environmental understanding capabilities of autonomous vehicles or robots. It classifies the semantic category of each LiDAR m
Externí odkaz:
http://arxiv.org/abs/2406.16279
Autor:
Yang, Hongyang, Zhang, Boyu, Wang, Neng, Guo, Cheng, Zhang, Xiaoli, Lin, Likun, Wang, Junlin, Zhou, Tianyu, Guan, Mao, Zhang, Runjia, Wang, Christina Dan
As financial institutions and professionals increasingly incorporate Large Language Models (LLMs) into their workflows, substantial barriers, including proprietary data and specialized knowledge, persist between the finance sector and the AI communit
Externí odkaz:
http://arxiv.org/abs/2405.14767
Publikováno v:
Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2024
The millimeter-wave radar sensor maintains stable performance under adverse environmental conditions, making it a promising solution for all-weather perception tasks, such as outdoor mobile robotics. However, the radar point clouds are relatively spa
Externí odkaz:
http://arxiv.org/abs/2404.06012
In the swiftly expanding domain of Natural Language Processing (NLP), the potential of GPT-based models for the financial sector is increasingly evident. However, the integration of these models with financial datasets presents challenges, notably in
Externí odkaz:
http://arxiv.org/abs/2310.04793
Metasurfaces that can work without the rigorous periodic arrangement of meta-atoms are highly desired by practical optical micro-nano devices. In this work, we proposed two kinds of Kerker-type metasurfaces possessing positional disorder immunity. Th
Externí odkaz:
http://arxiv.org/abs/2304.02501