Search Results - "Gu, Junhua"

PPAI: a web server for predicting protein-aptamer interactions by Li, Jianwei, Ma, Xiaoyu, Li, Xichuan, Gu, Junhua

“…Abstract Background The interactions between proteins and aptamers are prevalent in organisms and play an important role in various life activities. Thanks to…”
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Dynamic Correlation Adjacency-Matrix-Based Graph Neural Networks for Traffic Flow Prediction by Gu, Junhua, Jia, Zhihao, Cai, Taotao, Song, Xiangyu, Mahmood, Adnan

“…Modeling complex spatial and temporal dependencies in multivariate time series data is crucial for traffic forecasting. Graph convolutional networks have…”
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Potential biomarkers of acute myocardial infarction based on weighted gene co-expression network analysis by Liu, Zhihua, Ma, Chenguang, Gu, Junhua, Yu, Ming

“…Acute myocardial infarction (AMI) is the common cause of mortality in developed countries. The feasibility of whole-genome gene expression analysis to identify…”
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Recommendation model based on generative adversarial network and social reconstruction by Gu, Junhua, Deng, Xu, Zhang, Ningjing, Zhang, Suqi

“…Social relations can effectively alleviate the data sparsity problem in recommendation, but how to make effective use of social relations is a difficulty…”
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MDCGA-Net: Multiscale Direction Context-Aware Network With Global Attention for Building Extraction From Remote Sensing Images by Niu, Penghui, Gu, Junhua, Zhang, Yajuan, Zhang, Ping, Cai, Taotao, Xu, Wenjia, Han, Jungong

“…Building extraction from remote sensing images (RSIs) requires exploring multiscale boundary detailed information and extracting it completely, which is…”
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A Systematic Evaluation of Supervised Machine Learning Algorithms for Cell Phenotype Classification Using Single-Cell RNA Sequencing Data by Cao, Xiaowen, Xing, Li, Majd, Elham, He, Hua, Gu, Junhua, Zhang, Xuekui

“…The new technology of single-cell RNA sequencing (scRNA-seq) can yield valuable insights into gene expression and give critical information about the cellular…”
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Pulmonary Nodules Detection Based on Deformable Convolution by Gu, Junhua, Tian, Zepei, Qi, Yongjun

“…Early detection of malignant pulmonary nodules is of great help to the treatment of lung cancer. Yet it is difficult to establish a general diagnostic standard…”
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Knowledge Graph Recommendation Model Based on Adversarial Training by Zhang, Suqi, Zhang, Ningjing, Fan, Shuai, Gu, Junhua, Li, Jianxin

“…The recommendation model based on the knowledge graph (KG) alleviates the problem of data sparsity in the recommendation to a certain extent and further…”
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Indoor scene understanding via RGB-D image segmentation employing depth-based CNN and CRFs by Li, Wei, Gu, Junhua, Dong, Yongfeng, Dong, Yao, Han, Jungong

“…With the availability of low-cost depth-visual sensing devices, such as Microsoft Kinect, we are experiencing a growing interest in indoor environment…”
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Knowledge Graph Recommendation Model Based on Feature Space Fusion by Zhang, Suqi, Wang, Xinxin, Wang, Rui, Gu, Junhua, Li, Jianxin

“…The existing recommendation model based on a knowledge graph simply integrates the behavior features in a user–item bipartite graph and the content features in…”
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Incremental Instance-Oriented 3D Semantic Mapping via RGB-D Cameras for Unknown Indoor Scene by Han, Jungong, Chen, Benwen, Gu, Jun-hua, Li, Wei

“…Scene parsing plays a crucial role when accomplishing human-robot interaction tasks. As the “eye” of the robot, RGB-D camera is one of the most important…”
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Social Recommendation Based on Quantified Trust and User’s Primary Preference Space by Zhang, Suqi, Zhang, Ningjing, Li, Ningning, Xie, Zhijian, Gu, Junhua, Li, Jianxin

“…Social recommendation has received great attention recently, which uses social information to alleviate the data sparsity problem and the cold-start problem of…”
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Pulmonary nodule image super-resolution using multi-scale deep residual channel attention network with joint optimization by Qi, Yongjun, Gu, Junhua, Li, Weixun, Tian, Zepei, Zhang, Yajuan, Geng, Juanping

“…High-resolution medical images can help doctors to find early lesions and provide assistance and support for the diagnosis and treatment of diseases…”
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Self-Supervised Graph Representation Learning via Information Bottleneck by Gu, Junhua, Zheng, Zichen, Zhou, Wenmiao, Zhang, Yajuan, Lu, Zhengjun, Yang, Liang

“…Graph representation learning has become a mainstream method for processing network structured data, and most graph representation learning methods rely…”
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Improved L0 Gradient Minimization with L1 Fidelity for Image Smoothing by Pang, Xueshun, Zhang, Suqi, Gu, Junhua, Li, Lingling, Liu, Boying, Wang, Huaibin

“…Edge-preserving image smoothing is one of the fundamental tasks in the field of computer graphics and computer vision. Recently, L0 gradient minimization (LGM)…”
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Factors influencing ruminative thinking behaviours in nurses: a cross-sectional study of 858 subjects in a tertiary care hospital by Cao, Huling, Ding, Aiming, Wang, Lihua, Cao, Jianyu, Mao, Haiyan, Tang, Hui, Yang, Guihong, Gu, Junhua

“…Empathy is crucial for the quality of care, a positive nurse–patient relationship and reducing medical disputes.3 Social support encompasses the psychological…”
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THE APPLICATION OF CONTINUOUS WAVELET TRANSFORM BASED FOREGROUND SUBTRACTION METHOD IN 21 cm SKY SURVEYS by Gu, Junhua, XU, HAIGUANG, Wang, Jingying, An, Tao, Chen, Wen

“…We propose a continuous wavelet transform based non-parametric foreground subtraction method for the detection of redshifted 21 cm signal from the epoch of…”
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Joint Pedestrian and Body Part Detection via Semantic Relationship Learning by Gu, Junhua, Lan, Chuanxin, Chen, Wenbai, Han, Hu

“…While remarkable progress has been made to pedestrian detection in recent years, robust pedestrian detection in the wild e.g., under surveillance scenarios…”
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Energy-Efficient Sensory Data Collection Based on Spatiotemporal Correlation in IoT Networks by Tang, Jine, Wu, Shuang, Wei, Lingxiao, Liu, Weijing, Qin, Taishan, Zhou, Zhangbing, Gu, Junhua

“…The Internet of Things (IoT) is currently in a stage of rapid development. Hundreds of millions of sensing nodes and intelligent terminals undertake the tasks…”
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An Integrated Multi-Channel Deep Neural Network for Mesial Temporal Lobe Epilepsy Identification Using Multi-Modal Medical Data by Qu, Ruowei, Ji, Xuan, Wang, Shifeng, Wang, Zhaonan, Wang, Le, Yang, Xinsheng, Yin, Shaoya, Gu, Junhua, Wang, Alan, Xu, Guizhi

“…Epilepsy is a chronic brain disease with recurrent seizures. Mesial temporal lobe epilepsy (MTLE) is the most common pathological cause of epilepsy. With the…”
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