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pro vyhledávání: '"Lin, Yu‐Sheng"'
Autor:
Lin, Yu-Hsiang, Shieh, Huang-Ting, Liu, Chih-Yu, Lee, Kuang-Ting, Chang, Hsiao-Cheng, Yang, Jing-Lun, Lin, Yu-Sheng
Extrapolation in Large language models (LLMs) for open-ended inquiry encounters two pivotal issues: (1) hallucination and (2) expensive training costs. These issues present challenges for LLMs in specialized domains and personalized data, requiring t
Externí odkaz:
http://arxiv.org/abs/2405.12656
Manga, as a widely beloved form of entertainment around the world, have shifted from paper to electronic screens with the proliferation of handheld devices. However, as the demand for image quality increases with screen development, high-quality imag
Externí odkaz:
http://arxiv.org/abs/2305.08325
Object detection in low-light conditions remains a challenging but important problem with many practical implications. Some recent works show that, in low-light conditions, object detectors using raw image data are more robust than detectors using im
Externí odkaz:
http://arxiv.org/abs/2205.03688
Publikováno v:
In Materials Today Communications December 2024 41
Autor:
Wu, Zonghong, Lin, Yu-Sheng
Publikováno v:
In Sensing and Bio-Sensing Research December 2024 46
Publikováno v:
In Sensors and Actuators: A. Physical 1 December 2024 379
Autor:
Nian, Guodong, Lin, Yu-Sheng, Yang, Jia-Ming, Hassan, Sammy, Wu, Jyun-Lin, Tang, Sherwin, He, Jun, Vlassak, Joost J., Suo, Zhigang
Publikováno v:
In Journal of the Mechanics and Physics of Solids October 2024 191
Publikováno v:
In Alexandria Engineering Journal March 2025 115:169-176
We propose a dense tensor accelerator called VectorMesh, a scalable, memory-efficient architecture that can support a wide variety of DNN and computer vision workloads. Its building block is a tile execution unit~(TEU), which includes dozens of proce
Externí odkaz:
http://arxiv.org/abs/2111.12885