Výsledky vyhledávání - "Yang, Ching An"

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MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation

Autor: Yang, Ching-Wen, Chen, Che Wei, Wu, Kun-da, Xu, Hao, Yao, Jui-Feng, Kao, Hung-Yu

Explainable Recommendation task is designed to receive a pair of user and item and output explanations to justify why an item is recommended to a user. Many models treat review-generation as a proxy of explainable recommendation. Although they are ab

Externí odkaz: http://arxiv.org/abs/2408.09865

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A Novel Quantum Visual Secret Sharing Scheme

Autor: Liu, Wenjie, Xu, Yinsong, Zhang, Maojun, Chen, Junxiu, Yang, Ching-Nung

Publikováno v: IEEE Access, 2019. 7: p. 114374-114384

Inspired by Naor et al.'s visual secret sharing (VSS) scheme, a novel n out of n quantum visual secret sharing (QVSS) scheme is proposed, which consists of two phases: sharing process and recovering process. In the first process, the color informatio

Externí odkaz: http://arxiv.org/abs/2309.13659

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An Efficient and Secure Arbitrary N-Party Quantum Key Agreement Protocol Using Bell States

Autor: Liu, Wen-Jie, Xu, Yong, Yang, Ching-Nung, Gao, Pei-Pei, Yu, Wen-Bin

Publikováno v: International Journal of Theoretical Physics, 2018. 57(1): p. 195-207

Two quantum key agreement protocols using Bell states and Bell measurement were recently proposed by Shukla et al.(Quantum Inf. Process. 13(11), 2391-2405, 2014). However, Zhu et al. pointed out that there are some security flaws and proposed an impr

Externí odkaz: http://arxiv.org/abs/2309.12719

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A Geometrically Constrained Point Matching based on View-invariant Cross-ratios, and Homography

Autor: Huang, Yueh-Cheng, Yang, Ching-Huai, Hsu, Chen-Tao, Chuang, Jen-Hui

In computer vision, finding point correspondence among images plays an important role in many applications, such as image stitching, image retrieval, visual localization, etc. Most of the research worksfocus on the matching of local feature before a

Externí odkaz: http://arxiv.org/abs/2211.03007

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HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation

Autor: Liao, Ting-Yu, Yang, Ching-Hui, Lo, Yu-Wen, Lai, Kuan-Ying, Shen, Po-Huai, Lin, Youn-Long

We present a neural network architecture for medical image segmentation of diabetic foot ulcers and colonoscopy polyps. Diabetic foot ulcers are caused by neuropathic and vascular complications of diabetes mellitus. In order to provide a proper diagn

Externí odkaz: http://arxiv.org/abs/2209.07313

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