Yanting Zhang

Yanting Zhang
Donghua University

PhD

About

22
Publications
2,987
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144
Citations

Publications

Publications (22)
Article
Full-text available
Click-through rate (CTR) is a positive feedback of user preferences or product purchases, and its small increase can bring huge benefits. Therefore, CTR prediction plays a key role in computing advertising and recommendation systems. Research shows that the accuracy of CTR prediction models is closely related to the input features. Existing related...
Article
In recent years, spiking neural networks (SNNs), which originated from the theoretical basis of neuroscience, have attracted neuromorphic computing and brain-like computing due to their advantages, such as neural dynamics and coding mechanism, which are similar to biological neurons. SNNs have become one of the mainstream frameworks in the field of...
Article
Full-text available
Continuously detecting traffic signs in a video sequence is necessary for autonomous or assisted driving scenarios, since a vehicle needs the information from the signs to facilitate navigation. Single-image based traffic sign detector may fail in many cases, when the car moves fast on the road, resulting in motion blur, partial occlusion, and abru...
Article
Computer Assisted Diagnosis (CAD) based on brain Magnetic Resonance Imaging (MRI) is a popular research field for the computer science and medical engineering. Traditional machine learning and deep learning methods were employed in the classification of brain MRI images in the previous studies. However, the current algorithms rarely take into consi...
Article
The technology for simultaneous localization and mapping (SLAM) has been well investigated with the rising interest in autonomous driving. Visual odometry (VO) is a variation of SLAM without global consistency for estimating the position and orientation of the moving object through analyzing the image sequences captured by associated cameras. Howev...
Article
Full-text available
This paper attempts to identify the requirement and the development of machine learning-based mobile big data (MBD) analysis through discussing the insights of challenges in the mobile big data. Furthermore, it reviews the state-of-the-art applications of data analysis in the area of MBD. Firstly, we introduce the development of MBD. Secondly, the...
Article
Human mobility behavior is far from random, and its indicators follow non-Gaussian distributions. Predicting human mobility has the potential to enhance location-based services, intelligent transportation systems, urban computing, and so forth. In this paper, we focus on improving the prediction accuracy of non-Gaussian mobility data by constructin...

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