Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Qin, Ruiyang"'
Timely stress detection is crucial for protecting vulnerable groups from long-term detrimental effects by enabling early intervention. Wearable devices, by collecting real-time physiological signals, offer a solution for accurate stress detection acc
Externí odkaz:
http://arxiv.org/abs/2407.15252
Autor:
Qin, Ruiyang, Liu, Dancheng, Xu, Chenhui, Yan, Zheyu, Tan, Zhaoxuan, Jia, Zhenge, Nassereldine, Amir, Li, Jiajie, Jiang, Meng, Abbasi, Ahmed, Xiong, Jinjun, Shi, Yiyu
The scaling laws have become the de facto guidelines for designing large language models (LLMs), but they were studied under the assumption of unlimited computing resources for both training and inference. As LLMs are increasingly used as personalize
Externí odkaz:
http://arxiv.org/abs/2406.03777
Autor:
Qin, Ruiyang, Yan, Zheyu, Zeng, Dewen, Jia, Zhenge, Liu, Dancheng, Liu, Jianbo, Zheng, Zhi, Cao, Ningyuan, Ni, Kai, Xiong, Jinjun, Shi, Yiyu
Large Language Models (LLMs) deployed on edge devices learn through fine-tuning and updating a certain portion of their parameters. Although such learning methods can be optimized to reduce resource utilization, the overall required resources remain
Externí odkaz:
http://arxiv.org/abs/2405.04700
Neural Architecture Search (NAS) has become the de fecto tools in the industry in automating the design of deep neural networks for various applications, especially those driven by mobile and edge devices with limited computing resources. The emergin
Externí odkaz:
http://arxiv.org/abs/2402.06696
Autor:
Qin, Ruiyang, Xia, Jun, Jia, Zhenge, Jiang, Meng, Abbasi, Ahmed, Zhou, Peipei, Hu, Jingtong, Shi, Yiyu
After a large language model (LLM) is deployed on edge devices, it is desirable for these devices to learn from user-generated conversation data to generate user-specific and personalized responses in real-time. However, user-generated data usually c
Externí odkaz:
http://arxiv.org/abs/2311.12275
Autor:
Bevilacqua, Marialena, Oketch, Kezia, Qin, Ruiyang, Stamey, Will, Zhang, Xinyuan, Gan, Yi, Yang, Kai, Abbasi, Ahmed
The use of machine learning (ML) models to assess and score textual data has become increasingly pervasive in an array of contexts including natural language processing, information retrieval, search and recommendation, and credibility assessment of
Externí odkaz:
http://arxiv.org/abs/2309.14488
Autor:
Liang, Zhiding, Song, Zhixin, Cheng, Jinglei, He, Zichang, Liu, Ji, Wang, Hanrui, Qin, Ruiyang, Wang, Yiru, Han, Song, Qian, Xuehai, Shi, Yiyu
Current quantum programs are mostly synthesized and compiled on the gate-level, where quantum circuits are composed of quantum gates. The gate-level workflow, however, introduces significant redundancy when quantum gates are eventually transformed in
Externí odkaz:
http://arxiv.org/abs/2212.00661
Improving Quantum Classifier Performance in NISQ Computers by Voting Strategy from Ensemble Learning
Due to the immense potential of quantum computers and the significant computing overhead required in machine learning applications, the variational quantum classifier (VQC) has received a lot of interest recently for image classification. The perform
Externí odkaz:
http://arxiv.org/abs/2210.01656
Idioms are special fixed phrases usually derived from stories. They are commonly used in casual conversations and literary writings. Their meanings are usually highly non-compositional. The idiom cloze task is a challenge problem in Natural Language
Externí odkaz:
http://arxiv.org/abs/2112.02994
Publikováno v:
In Food Bioscience April 2024 58