Huanhuan Li's research while affiliated with Northeast University At Qinhuangdao Campus and other places

Publications (2)

Article
Full-text available
In this era of exponential growth in the scale of data, information overload has become an urgent problem, and the use of increasingly flexible sensor cloud systems (SCS) for data collection has become a mainstream trend. Recommendation algorithms can search massive data sets to uncover information that meets the needs of users based on their inter...
Article
Full-text available
Usually, in addition to the main content, web pages contain additional information in the form of noise, such as navigation elements, sidebars and advertisements. This kind of noise has nothing to do with the main content, it will affect the tasks of data mining and information retrieval so that the sensor will be damaged by the wrong data and inte...

Citations

... Many experiments have shown that deep neural networks (DNNs) are used in several fields because of their ability to capture complex and deeper information, including image segmentation [1], natural language processing [2,3], speech recognition [4], and recommendation systems [5][6][7]. Dailing Zhang et al. [8] designed deep learning-based frameworks that consist of both convolutional and recurrent neural networks to precisely identify human intentions in brain-computer interfaces. Kaixuan Chen et al. [9] proposed a semisupervised deep model for imbalanced activity recognition and pattern-balanced cotraining for extracting and preserving the latent activity patterns to improve the robustness of co-training on imbalanced data. ...