Search Results - "Jingjing Fei"

Defect classification for specular surfaces based on deflectometry and multi-modal fusion network by Guan, Jingtian, Fei, Jingjing, Li, Wei, Jiang, Xiaoke, Wu, Liwei, Liu, Yakun, Xi, Juntong

“…•Deep-learning-based method is introduced for the automated defect classification of specular surfaces.•Multi-modal feature fusion network is proposed to…”
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Interaction between Plasma Metabolomics and Intestinal Microbiome in db/db Mouse, an Animal Model for Study of Type 2 Diabetes and Diabetic Kidney Disease by Wu, Chenhua, Fei, Jingjing, Xu, Qing, Tao, Yingjun, Zhou, Ziqi, Wang, Yurong, Wu, Jie, Gu, Harvest F

“…Evidence has demonstrated that either metabolites or intestinal microbiota are involved in the pathogenesis of type 2 diabetes (T2D) and diabetic kidney…”
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Online anomaly detection with sparse Gaussian processes by Gu, Minghao, Fei, Jingjing, Sun, Shiliang

“…•The proposed sparse Gaussian processes with Q-function (SGP-Q) is a novel and online method for anomaly detection of time-series data.•The SGP-Q method can…”
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Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels by Wang, Yuchao, Wang, Haochen, Shen, Yujun, Fei, Jingjing, Li, Wei, Jin, Guoqiang, Wu, Liwei, Zhao, Rui, Le, Xinyi

“…The crux of semi-supervised semantic segmentation is to assign adequate pseudo-labels to the pixels of unlabeled images. A common practice is to select the…”
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DualSANet: Dual Spatial Attention Network for Iris Recognition by Yang, Kai, Xu, Zihao, Fei, Jingjing

“…Compared with other human biosignatures, iris has more advantages on accuracy, invariability and robustness. However, the performance of existing common iris…”
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Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation by Wang, Haochen, Shen, Yujun, Fei, Jingjing, Li, Wei, Wu, Liwei, Wang, Yuxi, Zhang, Zhaoxiang

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A faster convergence and concise interpretability TSK fuzzy classifier deep-wide-based integrated learning by Wang, Zhicheng, Pan, Xueqian, Wei, Gang, Fei, Jingjing, Lu, Xuan

“…Hierarchical TSK fuzzy system was proposed to approach the exponential growth of IF-THEN rules which named “fuzzy rule explosion”. However, it could not get…”
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Extreme pressure and anti-wear properties of polycarboxylate superplasticizer modified 3D porous graphene/SiO2 as water-based lubricant additives by Chen, Jiale, He, Kefeng, Fei, Jingjing, Yu, Jinying, Meng, Ziyue, Pang, Yuying, Liang, Lizhe, Tian, Zhi Qun

“…Lubricants can effectively solve the large amount of energy loss and environmental pollution caused by frictional wear. Graphene-based materials water-based…”
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Balancing Logit Variation for Long-Tailed Semantic Segmentation by Wang, Yuchao, Fei, Jingjing, Wang, Haochen, Li, Wei, Bao, Tianpeng, Wu, Liwei, Zhao, Rui, Shen, Yujun

“…Semantic segmentation usually suffers from a long-tail data distribution. Due to the imbalanced number of samples across categories, the features of those tail…”
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Lifetime-aware data collection in Wireless Sensor Networks by Jingjing Fei, Hui Wu, Wenguang Zheng, Yongxin Wang

“…In WSNs (Wireless Sensor Networks), sensor nodes are typically battery powered. As a result, network lifetime becomes a major optimization objective in the…”
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Lifetime and latency aware data collection based on k-tree by Jingjing Fei, Hui Wu, Alghamdi, Wael Y.

“…Sensor nodes are typically battery-powered. As a result, maximizing the network lifetime is an important optimization objective in the design of a WSN…”
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Randomised multipath routing for secure data collection by Alghamdi, Wael Y., Hui Wu, Jingjing Fei, Kanhere, Salil S.

“…WSN (Wireless Sensor Network) has a wide range of applications. As a result, security problems become increasingly important. We investigate the problem of…”
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Bioinformatics, tissue distribution, and subcellular localization analyses of fk506 binding protein 12b from silkworms by Li, Si, Fei, JingJing, Cheng, DanDan, Jin, Yongfeng, Zhang, Wenping, Zhang, Yaozhou, Lv, Zhengbing

“…FK506 binding proteins (FKBPs) are intracellular receptors of the immunosuppressant FK506 and play important roles in the correct folding of new proteins and…”
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Online Anomaly Detection with Sparse Gaussian Processes by Fei, Jingjing, Sun, Shiliang

“…Online anomaly detection of time-series data is an important and challenging task in machine learning. Gaussian processes (GPs) are powerful and flexible…”
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MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection by Bao, Tianpeng, Chen, Jiadong, Li, Wei, Wang, Xiang, Fei, Jingjing, Wu, Liwei, Zhao, Rui, Zheng, Ye

“…Visual anomaly detection plays a crucial role in not only manufacturing inspection to find defects of products during manufacturing processes, but also…”
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Balancing Logit Variation for Long-tailed Semantic Segmentation by Wang, Yuchao, Fei, Jingjing, Wang, Haochen, Li, Wei, Bao, Tianpeng, Wu, Liwei, Zhao, Rui, Shen, Yujun

“…Semantic segmentation usually suffers from a long-tail data distribution. Due to the imbalanced number of samples across categories, the features of those tail…”
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Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation by Wang, Haochen, Shen, Yujun, Fei, Jingjing, Li, Wei, Wu, Liwei, Wang, Yuxi, Zhang, Zhaoxiang

“…Domain adaptive semantic segmentation aims to transfer knowledge from a labeled source domain to an unlabeled target domain. However, existing methods…”
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MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection by Bao, Tianpeng, Chen, Jiadong, Li, Wei, Wang, Xiang, Fei, Jingjing, Wu, Liwei, Zhao, Rui, Zheng, Ye

“…Visual anomaly detection plays a crucial role in not only manufacturing inspection to find defects of products during manufacturing processes, but also…”
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A Variant of Gaussian Process Dynamical Systems by Zhao, Jing, Fei, Jingjing, Sun, Shiliang

“…In order to better model high-dimensional sequential data, we propose a collaborative multi-output Gaussian process dynamical system (CGPDS), which is a novel…”
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Learning from Future: A Novel Self-Training Framework for Semantic Segmentation by Du, Ye, Shen, Yujun, Wang, Haochen, Fei, Jingjing, Li, Wei, Wu, Liwei, Zhao, Rui, Fu, Zehua, Liu, Qingjie

“…Self-training has shown great potential in semi-supervised learning. Its core idea is to use the model learned on labeled data to generate pseudo-labels for…”
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