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of 5 424
pro vyhledávání: '"QIAN, Yi"'
Time series forecasting has played a significant role in many practical fields. But time series data generated from real-world applications always exhibits high variance and lots of noise, which makes it difficult to capture the inherent periodic pat
Externí odkaz:
http://arxiv.org/abs/2410.05726
Publikováno v:
Journal of Marketing Research (JMR). Oct2024, Vol. 61 Issue 5, p914-936. 23p.
Semantic communication is of crucial importance for the next-generation wireless communication networks. The existing works have developed semantic communication frameworks based on deep learning. However, systems powered by deep learning are vulnera
Externí odkaz:
http://arxiv.org/abs/2404.13279
Federated learning (FL) has emerged as a distributed machine learning (ML) technique that can protect local data privacy for participating clients and improve system efficiency. Instead of sharing raw data, FL exchanges intermediate learning paramete
Externí odkaz:
http://arxiv.org/abs/2404.11035
Fine-tuning large language models (LLMs) with classic first-order optimizers entails prohibitive GPU memory due to the backpropagation process. Recent works have turned to zeroth-order optimizers for fine-tuning, which save substantial memory by usin
Externí odkaz:
http://arxiv.org/abs/2402.15173
Time series analysis is vital for numerous applications, and transformers have become increasingly prominent in this domain. Leading methods customize the transformer architecture from NLP and CV, utilizing a patching technique to convert continuous
Externí odkaz:
http://arxiv.org/abs/2402.05830
Publikováno v:
Personnel Review, 2023, Vol. 53, Issue 7, pp. 1632-1648.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PR-04-2022-0279
Autor:
Shi-Ze Leng, Mei-Jia Fang, Yi-Min Wang, Zhen-Jia Lin, Qian-Yi Li, Ya-Nan Xu, Chun-Lin Mai, Jun-Ya Wan, Yangyinhui Yu, Ming Wei, Ying Li, Yu-Fan Zheng, Kai-Lang Zhang, Ya-Juan Wang, Li-jun Zhou, Zhi Tan, Hui Zhang
Publikováno v:
The Journal of Headache and Pain, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract Background Chronic pain poses a clinical challenge due to its associated costly disability and treatment needs. Determining how pain transitions from acute to chronic is crucial for effective management. Upregulation of the chemokine C-X-C m
Externí odkaz:
https://doaj.org/article/e60cfc1e77d54768b3a02c69de262dc3
Publikováno v:
Zhongguo quanke yixue, Vol 28, Iss 01, Pp 111-118 (2025)
Background Primary care physicians in community settings face numerous challenges when making medication decisions for patients with multimorbidity. Enhancing their decision-making capabilities through training is an important way to address these ch
Externí odkaz:
https://doaj.org/article/f73f38d53d4a4106a44217c23d1e9921
Transformer-based models have emerged as promising tools for time series forecasting. However, these model cannot make accurate prediction for long input time series. On the one hand, they failed to capture global dependencies within time series data
Externí odkaz:
http://arxiv.org/abs/2306.08325