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of 5 959
pro vyhledávání: '"Li, HongYan"'
While time series diffusion models have received considerable focus from many recent works, the performance of existing models remains highly unstable. Factors limiting time series diffusion models include insufficient time series datasets and the ab
Externí odkaz:
http://arxiv.org/abs/2410.18712
Autor:
Wang, Zhihu, Zhao, Shiwan, Wang, Yu, Huang, Heyuan, Xie, Sitao, Zhang, Yubo, Shi, Jiaxin, Wang, Zhixing, Li, Hongyan, Yan, Junchi
The Chain-of-Thought (CoT) paradigm has become a pivotal method for solving complex problems. However, its application to intricate, domain-specific tasks remains challenging, as large language models (LLMs) often struggle to accurately decompose the
Externí odkaz:
http://arxiv.org/abs/2408.06904
Data is essential to performing time series analysis utilizing machine learning approaches, whether for classic models or today's large language models. A good time-series dataset is advantageous for the model's accuracy, robustness, and convergence,
Externí odkaz:
http://arxiv.org/abs/2404.16886
We develop a Macroscopic Auxiliary Asymptotic-Preserving Neural Network (MA-APNN) method to solve the time-dependent linear radiative transfer equations (LRTEs), which have a multi-scale nature and high dimensionality. To achieve this, we utilize the
Externí odkaz:
http://arxiv.org/abs/2403.01820
Time-Triggered Ethernet (TTEthernet) has been widely applied in many scenarios such as industrial internet, automotive electronics, and aerospace, where offline routing and scheduling for TTEthernet has been largely investigated. However, predetermin
Externí odkaz:
http://arxiv.org/abs/2401.06579
Spiking Neural Networks (SNNs) have a greater potential for modeling time series data than Artificial Neural Networks (ANNs), due to their inherent neuron dynamics and low energy consumption. However, it is difficult to demonstrate their superiority
Externí odkaz:
http://arxiv.org/abs/2401.10257
Time series widely exists in real-world applications and many deep learning models have performed well on it. Current research has shown the importance of learning strategy for models, suggesting that the benefit is the order and size of learning sam
Externí odkaz:
http://arxiv.org/abs/2312.15853
Unit testing validates the correctness of the unit under test and has become an essential activity in software development process. A unit test consists of a test prefix that drives the unit under test into a particular state, and a test oracle (e.g.
Externí odkaz:
http://arxiv.org/abs/2309.10264
Autor:
Li, Hongyan
This Dissertation consists of two essays. The first essay studies the causal impacts of compensation disclosure on executive compensation, turnover, and executives’ job responsibilities. We find that, after the SEC mandates the disclosure of Chief
Externí odkaz:
http://hdl.handle.net/10919/83502
Autor:
Li, Hongyan, Hou, Yang, Wang, Faxing, Lohe, Martin R., Zhuang, Xiaodong, Niu, Li, Feng, Xinliang
Publikováno v:
Advanced Energy Materials (2017). 7
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A30973
https://tud.qucosa.de/api/qucosa%3A30973/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A30973/attachment/ATT-0/
