Searched for: author%3A%22Yang%2C+Yang%22
(1 - 12 of 12)
document
Wang, J. (author), Li, Runlong (author), He, Yuan (author), Yang, Yang (author)
In this article, the interference mitigation (IM) problem is tackled as a regression problem. A prior-guided deep learning (DL)-based IM approach is proposed for frequency-modulated continuous-wave (FMCW) radars. Considering the complex-valued nature of radar signals, a complex-valued convolutional neural network, which is different from the...
journal article 2022
document
Xu, Xing (author), Lin, Kaiyi (author), Yang, Yang (author), Hanjalic, A. (author), Shen, Heng Tao (author)
Recently, generative adversarial network (GAN) has shown its strong ability on modeling data distribution via adversarial learning. Cross-modal GAN, which attempts to utilize the power of GAN to model the cross-modal joint distribution and to learn compatible cross-modal features, is becoming the research hotspot. However, the existing cross...
journal article 2022
document
Yang, Yang (author), Shao, Zheping (author), Hu, Yu (author), Mei, Qiang (author), Pan, Jiacai (author), Song, R. (author), Wang, Peng (author)
Safety analysis according to the spatial distribution characteristics of maritime traffic accidents is critical to maritime traffic safety management. An accident analysis framework based on the geographic information system (GIS) is proposed to characterize the spatial distribution of maritime traffic accidents occurring in the Fujian sea area...
journal article 2022
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Yang, Yang (author), Yang, Xiaoyi (author), Sakamoto, Takuya (author), Fioranelli, F. (author), Li, Beichen (author), Lang, Yue (author)
In recent years, gait-based person identification has gained significant interest for a variety of applications, including security systems and public security forensics. Meanwhile, this task is faced with the challenge of disguised gaits. When a human subject changes what he or she is wearing or carrying, it becomes challenging to reliably...
journal article 2022
document
Gu, Chunping (author), Ji, Yongjie (author), Yang, Yang (author), Liu, Jintao (author), Ni, Tongyuan (author)
Sewage sludge ash (SSA) is the combustion residue of the sewage sludge obtained from wastewater treatment plants. In China, SSA normally contains high content of SO3, which may cause detrimental effect on the volume stability of cement-based materials. This study investigated the effect of sulfate-rich SSA (SR-SSA) on the volume deformation and...
conference paper 2021
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Shi, Can (author), Zhao, Chunfa (author), Yang, Yang (author), Guo, Y. (author), Zhang, Xu (author)
Railway ballasted track stiffness is an important indicator to identify supporting condition that ensures that the facility is well designed and functioned. Although many studies have been performed on track stiffness based on experimental tests and finite-element methods, the factors influencing the track stiffness have not been completely...
journal article 2021
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Ji, Haoran (author), Hou, Chunping (author), Yang, Yang (author), Fioranelli, F. (author), Lang, Yue (author)
In this letter, a radar-based gait authentication method is proposed. We focus on the overfitting problem on the target category caused by limited training data in authentication models and propose a one-class classification model to alleviate this problem. The effectiveness of such model is verified by establishing a radar-based gait dataset,...
journal article 2021
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Shi, Can (author), Zhao, Chunfa (author), Yang, Yang (author), Guo, Y. (author), Zhang, Xu (author), Feng, Yang (author)
To probe into the mechanical behaviour of railway transition zone from the macro-meso aspects, a numerical model of transition zone is built that hybrids the Discrete Element Method (DEM) and Finite Difference Method (FDM). The DEM is utilised to simulate the ballast bed and sleeper, because it can consider the realistic ballast shapes and...
journal article 2020
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Wang, Tan (author), Hanjalic, A. (author), Xu, Xing (author), Shen, Heng Tao (author), Yang, Yang (author), Song, Jingkuan (author)
A major challenge in matching images and text is that they have intrinsically different data distributions and feature representations. Most existing approaches are based either on embedding or classification, the first one mapping image and text instances into a common embedding space for distance measuring, and the second one regarding...
conference paper 2019
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Yang, Yang (author), Li, Diquan (author), Tong, Tiegang (author), Zhang, D. (author), Zhou, Yatong (author), Chen, Yangkang (author)
Strong noise is one of the toughest problems in the controlled-source electromagnetic (CSEM) method, which highly affects the quality of recorded data. The three main types of noise existing in CSEM data are periodic noise, Gaussian white noise, and nonperiodic noise, among which the nonperiodic noise is thought to be the most difficult to...
journal article 2018
document
Yang, Yang (author), Zhou, Jie (author), Ai, Jiangbo (author), Bin, Yi (author), Hanjalic, A. (author), Shen, Heng Tao (author)
In this paper, we propose a novel approach to video captioning based on adversarial learning and long short-term memory (LSTM). With this solution concept, we aim at compensating for the deficiencies of LSTM-based video captioning methods that generally show potential to effectively handle temporal nature of video data when generating...
journal article 2018
document
Wang, Bokun (author), Yang, Yang (author), Xing, Xu (author), Hanjalic, A. (author), Shen, Heng Tao (author)
Cross-modal retrieval aims to enable flexible retrieval experience across different modalities (e.g., texts vs. images). The core of crossmodal retrieval research is to learn a common subspace where the items of different modalities can be directly compared to each other. In this paper, we present a novel Adversarial Cross-Modal Retrieval ...
conference paper 2017
Searched for: author%3A%22Yang%2C+Yang%22
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