Search Results - "Qin, A. K"

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics by Chong Zhang, Pin Lim, Qin, A. K., Kay Chen Tan

“…In numerous industrial applications where safety, efficiency, and reliability are among primary concerns, condition-based maintenance (CBM) is often the most…”
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Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images by Wu, Yue, Li, Jiaheng, Yuan, Yongzhe, Qin, A. K., Miao, Qi-Guang, Gong, Mao-Guo

“…Change detection based on heterogeneous images, such as optical images and synthetic aperture radar images, is a challenging problem because of their huge…”
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Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization by Qin, A.K., Huang, V.L., Suganthan, P.N.

“…Differential evolution (DE) is an efficient and powerful population-based stochastic search technique for solving optimization problems over continuous space,…”
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Collaborative Active and Semisupervised Learning for Hyperspectral Remote Sensing Image Classification by Lunjun Wan, Ke Tang, Mingzhi Li, Yanfei Zhong, Qin, A. K.

“…Hyperspectral image classification is a challenging problem. Among existing approaches to addressing this problem, the active learning (AL) and semisupervised…”
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Unsupervised Polarimetric SAR Image Segmentation and Classification Using Region Growing With Edge Penalty by Yu, P., Qin, A. K., Clausi, D. A.

“…A region-based unsupervised segmentation and classification algorithm for polarimetric synthetic aperture radar (SAR) imagery that incorporates region growing…”
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Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty by Qin, A K, Clausi, David A

“…Multivariate image segmentation is a challenging task, influenced by large intraclass variation that reduces class distinguishability as well as increased…”
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Comprehensive learning particle swarm optimizer for global optimization of multimodal functions by Liang, J.J., Qin, A.K., Suganthan, P.N., Baskar, S.

“…This paper presents a variant of particle swarm optimizers (PSOs) that we call the comprehensive learning particle swarm optimizer (CLPSO), which uses a novel…”
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Multi-layer composite autoencoders for semi-supervised change detection in heterogeneous remote sensing images by Shi, Jiao, Wu, Tiancheng, Yu, Hanwen, Qin, A. K., Jeon, Gwanggil, Lei, Yu

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A Multi-Task Representation Learning Architecture for Enhanced Graph Classification by Xie, Yu, Gong, Maoguo, Gao, Yuan, Qin, A K, Fan, Xiaolong

“…Composed of nodes and edges, graph structured data are organized in the non-Euclidean geometric space and ubiquitous especially in chemical compounds,…”
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Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge by Liu, Yuheng, Wang, Ye, Zhang, Yifan, Mei, Shaohui, Zou, Jiaqi, Li, Zhuohong, Lu, Fangxiao, He, Wei, Zhang, Hongyan, Zhao, Huilin, Chen, Chuan, Xia, Cong, Li, Hao, Vivone, Gemine, Hansch, Ronny, Taskin, Gulsen, Yao, Jing, Qin, A. K., Zhang, Bing, Chanussot, Jocelyn, Hong, Danfeng

“…Given the ever-growing availability of remote sensing data (e.g., Gaofen in China, Sentinel in the EU, and Landsat in the USA), multimodal remote sensing…”
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A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges by Tedjopurnomo, David Alexander, Bao, Zhifeng, Zheng, Baihua, Choudhury, Farhana Murtaza, Qin, A. K.

“…In this modern era, traffic congestion has become a major source of severe negative economic and environmental impact for urban areas worldwide. One of the…”
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Evolutionary Multitask Optimization With Adaptive Knowledge Transfer by Xu, Hao, Qin, A. K., Xia, Siyu

“…Evolutionary multitask optimization (EMTO) studies how to simultaneously solve multiple optimization tasks via evolutionary algorithms (EAs) while making the…”
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Self-Regulated Evolutionary Multitask Optimization by Zheng, Xiaolong, Qin, A. K., Gong, Maoguo, Zhou, Deyun

“…Evolutionary multitask optimization (EMTO) is a newly emerging research area in the field of evolutionary computation. It investigates how to solve multiple…”
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A Survey on Evolutionary Construction of Deep Neural Networks by Zhou, Xun, Qin, A. K., Gong, Maoguo, Tan, Kay Chen

“…Automated construction of deep neural networks (DNNs) has become a research hot spot nowadays because DNN's performance is heavily influenced by its…”
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RORNet: Partial-to-Partial Registration Network With Reliable Overlapping Representations by Wu, Yue, Zhang, Yue, Ma, Wenping, Gong, Maoguo, Fan, Xiaolong, Zhang, Mingyang, Qin, A. K., Miao, Qiguang

“…Three-dimensional point cloud registration is an important field in computer vision. Recently, due to the increasingly complex scenes and incomplete…”
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Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles by Duan, Ranjie, Ma, Xingjun, Wang, Yisen, Bailey, James, Qin, A. K., Yang, Yun

“…Deep neural networks (DNNs) are known to be vulnerable to adversarial examples. Existing works have mostly focused on either digital adversarial examples…”
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Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification by Gong, Maoguo, Zhou, Hui, Qin, A. K., Liu, Wenfeng, Zhao, Zhongying

“…Graph neural networks (GNNs) have demonstrated great success in many graph data-based applications. The impressive behavior of GNNs typically relies on the…”
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Evolutionary Multiform Optimization with Two-stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration by Wu, Yue, Ding, Hangqi, Gong, Maoguo, Qin, A. K., Ma, Wenping, Miao, Qiguang, Tan, Kay Chen

“…Point cloud registration is an important task in computer vision, where the goal is to estimate a transformation to align a pair of point clouds. Most of the…”
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A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images by Gong, Maoguo, Jiang, Fenlong, Qin, A. K., Liu, Tongfei, Zhan, Tao, Lu, Di, Zheng, Hanhong, Zhang, Mingyang

“…Hyperspectral images (HSIs) contain rich spectral signatures that reveal more image details and, thus, enable the detection of less noticeable changes on the…”
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Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition by Gong, Maoguo, Pan, Ke, Xie, Yu, Qin, A.K., Tang, Zedong

“…In recent years, deep learning achieves remarkable results in the field of artificial intelligence. However, the training process of deep neural networks may…”
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