Zobrazeno 1 - 10
of 2 743
pro vyhledávání: '"Zhao, Yifan"'
Autor:
Zhao, Yifan, Jarrahi, Mona
Quantum well (QW) structures are widely used in lasers, semiconductor optical amplifiers, modulators, enabling their monolithic integration on the same substrate. As optoelectronic systems evolve to meet the growing bandwidth demands in the terahertz
Externí odkaz:
http://arxiv.org/abs/2411.09183
Autor:
Wang, Guoqing, Sun, Zeyu, Gong, Zhihao, Ye, Sixiang, Chen, Yizhou, Zhao, Yifan, Liang, Qingyuan, Hao, Dan
Large Language Models (LLMs) have significantly advanced software engineering (SE) tasks, with prompt engineering techniques enhancing their performance in code-related areas. However, the rapid development of foundational LLMs such as the non-reason
Externí odkaz:
http://arxiv.org/abs/2411.02093
Mixed precision quantization has become an important technique for enabling the execution of deep neural networks (DNNs) on limited resource computing platforms. Traditional quantization methods have primarily concentrated on maintaining neural netwo
Externí odkaz:
http://arxiv.org/abs/2410.24214
Dashboard cameras (dashcams) record millions of driving videos daily, offering a valuable potential data source for various applications, including driving map production and updates. A necessary step for utilizing these dashcam data involves the est
Externí odkaz:
http://arxiv.org/abs/2409.18673
Research suggests the potential of employing VR to elicit awe experiences, thereby promoting well-being. Building upon theories related to the sublime and embodiment, we designed three VR scenes to evaluate the effectiveness of sublime and embodied d
Externí odkaz:
http://arxiv.org/abs/2409.14853
VSG control has emerged as a crucial technology for integrating renewable energy sources. However, renewable energy have limited tolerance to overcurrent, necessitating the implementation of current limiting (CL)strategies to mitigate the overcurrent
Externí odkaz:
http://arxiv.org/abs/2409.03475
Neural Radiance Fields (NeRF) achieve impressive rendering performance by learning volumetric 3D representation from several images of different views. However, it is difficult to reconstruct a sharp NeRF from blurry input as it often occurs in the w
Externí odkaz:
http://arxiv.org/abs/2408.01840
Autor:
Zhao, Yifan, Jacobs, Daniel C., Samson, Titu, Krishna, Mrudula Gopal, Horn, Michael, Lalonde, Marc-Olivier R., Braithwaite, Raven, Skabelund, Logan
Precision measurements of the beam pattern response are needed to predict the response of a radio telescope. Mapping the beam of a low frequency radio array presents a unique challenge and science cases such as the observation of the 21\,cm line at h
Externí odkaz:
http://arxiv.org/abs/2407.03462
Neural Radiance Fields (NeRF) achieves impressive 3D representation learning and novel view synthesis results with high-quality multi-view images as input. However, motion blur in images often occurs in low-light and high-speed motion scenes, which s
Externí odkaz:
http://arxiv.org/abs/2406.14360
Autor:
Li, Bin, Pei, Jiayan, Xiao, Feiyang, Zhao, Yifan, Zhang, Zhixing, Liu, Diwei, He, HengXu, Jia, Jia
In the mobile internet era, the Online Food Ordering Service (OFOS) emerges as an integral component of inclusive finance owing to the convenience it brings to people. OFOS platforms offer dynamic allocation incentives to users and merchants through
Externí odkaz:
http://arxiv.org/abs/2406.14132