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Bingo Wing-Kuen Ling
Guangdong University of Technology
Mathematical optimizationOptimization problemElectronic engineeringMathematicsControl theory
205Publications
18H-index
1,000Citations
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Publications 141
Newest
#1Libo Huang (Guangzhou Higher Education Mega Center)H-Index: 1
#2Bingo Wing-Kuen Ling (Guangzhou Higher Education Mega Center)H-Index: 18
Last. Lu Gan
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#1Nili Tian (Guangzhou Higher Education Mega Center)
#2Xiaoling Wang (Guangzhou Higher Education Mega Center)
Last. Mustafa Sakalli (Marmara University)
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An approximated empirical mode decomposition generates a set of approximated intrinsic mode functions via a linear, nonadaptive but iterative approach. The decomposition was found to be very useful for a content-independent pattern recognition application. As the process is characterized by a system kernel matrix and performed iteratively, the approximated intrinsic mode functions can be understood as the original signals processed by a set of mask operations. Here, some properties of the decomp...
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#1Libo Huang (Guangzhou Higher Education Mega Center)H-Index: 1
#2Bingo Wing-Kuen Ling (Guangzhou Higher Education Mega Center)H-Index: 18
Last. Yao Chen (Guangzhou Higher Education Mega Center)H-Index: 3
view all 6 authors...
In recent years, the signal processing opportunities with the multi-channel recording and the high precision detection provided by the development of new extracellular multi-electrodes are increasing. Hence, designing new spike sorting algorithms are both attractive and challenging. These algorithms are used to distinguish the individual neurons’ activity from the dense and simultaneously recorded neural action potentials with high accuracy. However, since the overlapping phenomenon often inevit...
Source
#1Jian Chai (Curtin University)H-Index: 4
#2Changzhi Wu (Curtin University)H-Index: 18
Last. Kok Lay Teo (Curtin University)H-Index: 48
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Site operations usually contain potential safety issues and an effective monitoring strategy for operations is essential to predict and prevent risk. Regarding the status monitoring among material, equipment and personnel during site operations, much work is conducted on localization and tracking using Radio Frequency Identification (RFID) technology. However, existing RFID tracking methods suffer from low accuracy and instability, due to severe interference in industrial sites with many metal s...
28 CitationsSource
#1Nian Cai (GDUT: Guangdong University of Technology)H-Index: 9
#2Zhenghang Su (GDUT: Guangdong University of Technology)H-Index: 1
Last. Bingo Wing-Kuen Ling (GDUT: Guangdong University of Technology)H-Index: 18
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Most of existing inpainting techniques require to know beforehandwhere those damaged pixels are, i.e., non-blind inpainting methods. However, in many applications, such information may not be readily available. In this paper, we propose a novel blind inpainting method based on a fully convolutional neural network. We term this method as blind inpainting convolutional neural network (BICNN). It purely cascades three convolutional layers to directly learn an end-to-end mapping between a pre-acquir...
26 CitationsSource
#1Charlotte Yuk-Fan Ho (Guangzhou Higher Education Mega Center)H-Index: 1
#2Bingo Wing-Kuen Ling (Guangzhou Higher Education Mega Center)H-Index: 18
This paper proposes a direct design of a multi-layer perceptron via a nonconvex optimization with application to the camera identification for the video forensics. Here, very low bit rate videos with time varying overall noise pattern statistics compressed using different video coders are considered. First, the content removal based on the discrete fractional Fourier transform is performed for video forensics. Then, the camera identification is performed via a multi-layer perceptron. To design t...
2 CitationsSource
#1Nian Cai (GDUT: Guangdong University of Technology)H-Index: 9
#2Yang Zhou (GDUT: Guangdong University of Technology)H-Index: 2
Last. Shaowei Weng (GDUT: Guangdong University of Technology)H-Index: 6
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Although the expected patch log likelihood (EPLL) achieves good performance for denoising, an inherent nonadaptive problem exists. To solve this problem, an adaptive learning is introduced into the EPLL in this paper. Inspired from the structured sparse dictionary, an adaptive Gaussian mixture model (GMM) is proposed based on patch priors. The maximum a posteriori estimation is employed to cluster and update the image patches. Also, the new image patches are used to update the GMM. We perform th...
9 CitationsSource
#1Kwok Tai Chui (CityU: City University of Hong Kong)H-Index: 10
#2Kim Fung Tsang (CityU: City University of Hong Kong)H-Index: 16
Last. Chung Kit Wu (CityU: City University of Hong Kong)H-Index: 6
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Many traffic injuries and deaths are caused by the drowsiness of drivers during driving. Existing drowsiness detection schemes are not accurate due to various reasons. To resolve this problem, an accurate driver drowsiness classifier (DDC) has been developed using an electrocardiogram genetic algorithm-based support vector machine (ECG GA-SVM). In existing studies, a cross correlation kernel and a convolution kernel have both been applied for performing the classification. The DDC is designed by...
19 CitationsSource
#1Hao Ran Chi (CityU: City University of Hong Kong)H-Index: 6
#2Kim Fung Tsang (CityU: City University of Hong Kong)H-Index: 16
Last. Loi Lei LaiH-Index: 22
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An interference-mitigated ZigBee-based advanced metering infrastructure (AMI) solution, namely IMM2ZM, has been developed for high-traffics smart metering (SM). The IMM2ZM incorporates multiradios multichannels network architecture and features an interference mitigation design by using multiobjective optimization. To evaluate the performance of the network due to interference, the channel-swapping time (\textit{T}_{\text{cs}})has been investigated. Analysis shows that when the sensitivity $(...
23 CitationsSource
#1Bingo Wing-Kuen Ling (GDUT: Guangdong University of Technology)H-Index: 18
#2Yuk-Fan Ho (PolyU: Hong Kong Polytechnic University)H-Index: 11
Last. Qingyun Dai (GDUT: Guangdong University of Technology)H-Index: 5
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This paper proposes a reconfiguration design of variable bandwidth symmetric/anti-symmetric finite impulse response single-band peak-constrained least squares (PCLS) lowpass and highpass filters. When the bandwidth of the filter changes, a new set of filter coefficients is derived based on the old set of filter coefficients via a modified method of bisection. Since the proposed algorithm is very efficient, the new set of filter coefficients can be obtained in real time. Also, the new set of filt...
3 CitationsSource
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