Search Results - "Yu, Zhengtao"

Attribute-Identity Embedding and Self-Supervised Learning for Scalable Person Re-Identification by Li, Huafeng, Yan, Shuanglin, Yu, Zhengtao, Tao, Dapeng

“…Due to the domain shift between source dataset and target dataset, most of the existing person re-identification (PRID) algorithms trained by a supervised…”
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Adaptive Multimodal Continuous Ant Colony Optimization by Yang, Qiang, Chen, Wei-Neng, Yu, Zhengtao, Gu, Tianlong, Li, Yun, Zhang, Huaxiang, Zhang, Jun

“…Seeking multiple optima simultaneously, which multimodal optimization aims at, has attracted increasing attention but remains challenging. Taking advantage of…”
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Deep Multi-View Feature Learning for Person Re-Identification by Tao, Dapeng, Guo, Yanan, Yu, Baosheng, Pang, Jianxin, Yu, Zhengtao

“…Person re-identification aims to identify the same pedestrians across different camera views at different locations. This important yet difficult intelligent…”
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Person Re-Identification by Dual-Regularized KISS Metric Learning by Tao, Dapeng, Guo, Yanan, Song, Mingli, Li, Yaotang, Yu, Zhengtao, Tang, Yuan Yan

“…Person re-identification aims to match the images of pedestrians across different camera views from different locations. This is a challenging intelligent…”
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Balancing Energy Consumption in Heterogeneous Wireless Sensor Networks Using Genetic Algorithm by Elhoseny, Mohamed, Xiaohui Yuan, Zhengtao Yu, Cunli Mao, El-Minir, Hamdy K., Riad, Alaa Mohamed

“…In a heterogeneous Wireless Sensor Network (WSN), factors such as initial energy, data processing capability, etc. greatly influence the network lifespan…”
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Cloudde: A Heterogeneous Differential Evolution Algorithm and Its Distributed Cloud Version by Zhan, Zhi-Hui, Liu, Xiao-Fang, Zhang, Huaxiang, Yu, Zhengtao, Weng, Jian, Li, Yun, Gu, Tianlong, Zhang, Jun

“…Existing differential evolution (DE) algorithms often face two challenges. The first is that the optimization performance is significantly affected by the ad…”
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Novel methylation-related long non-coding RNA clinical outcome prediction method: the clinical phenotype and immune infiltration research in low-grade gliomas by Li, Youjun, Li, Xiaobo, Yu, Zhengtao

“…Recent studies have suggested that long non-coding RNAs (lncRNAs) may play crucial role in low-grade glioma; however, the underlying mechanisms linking them to…”
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A Clustering Method of Case-Involved News by Combining Topic Network and Multi-Head Attention Mechanism by Mao, Cunli, Liang, Haoyuan, Yu, Zhengtao, Huang, Yuxin, Guo, Junjun

“…Finding the news of same case from the large numbers of case-involved news is an important basis for public opinion analysis. Existing text clustering methods…”
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StableNet: Distinguishing the hard samples to overcome language priors in visual question answering by Yu, Zhengtao, Zhao, Jia, Guo, Chenliang, Yang, Ying

“…With the booming fields of computer vision and natural language processing, cross‐modal intersections such as visual question answering (VQA) have become very…”
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METTL3 mediates m6A modification of lncRNA CRNDE to promote ATG10 expression and improve brain ischemia/reperfusion injury through YTHDC1 by Yu, Zhengtao, Xia, Ying, Li, Jiameng, Jiang, Junwen, Li, You, Li, Youjun, Wang, Liu

“…Ischemia/reperfusion (I/R) injury is a severe brain disorder with currently limited effective treatments. This study aims to explore the role of…”
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Automatical sampling with heterogeneous corpora for grammatical error correction by Zhu, Shichang, Liu, Jianjian, Li, Ying, Yu, Zhengtao

“…Thanks to the strong representation capability of the pre-trained language models, supervised grammatical error correction has achieved promising performance…”
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A two-stage fine-tuning method for low-resource cross-lingual summarization by Zhang, Kaixiong, Zhang, Yongbing, Yu, Zhengtao, Huang, Yuxin, Tan, Kaiwen

“…Cross-lingual summarization (CLS) is the task of condensing lengthy source language text into a concise summary in a target language. This presents a dual…”
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Mir-139-5p inhibits glioma cell proliferation and progression by targeting GABRA1 by Wang, Lei, Liu, Yan, Yu, Zhengtao, Gong, Jianwu, Deng, Zhiyong, Ren, Nianjun, Zhong, Zhe, Cai, Hao, Tang, Zhi, Cheng, Haofeng, Chen, Shuai, He, Zhengwen

“…Glioma is an extremely aggressive malignant neoplasm of the central nervous system. MicroRNA (miRNA) are known to bind to specific target mRNA to regulate…”
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Chinese–Vietnamese Pseudo-Parallel Sentences Extraction Based on Image Information Fusion by Wen, Yonghua, Guo, Junjun, Yu, Zhiqiang, Yu, Zhengtao

“…Parallel sentences play a crucial role in various NLP tasks, particularly for cross-lingual tasks such as machine translation. However, due to the…”
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Spatial–Spectral Split Attention Residual Network for Hyperspectral Image Classification by Shu, Zhenqiu, Liu, Zigao, Zhou, Jun, Tang, Songze, Yu, Zhengtao, Wu, Xiao-Jun

“…In the past few years, many convolutional neural networks (CNNs) have been applied to hyperspectral image (HSI) classification. However, many of them have the…”
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Multiple graph regularized sparse coding and multiple hypergraph regularized sparse coding for image representation by Jin, Taisong, Yu, Zhengtao, Li, Lingling, Li, Cuihua

“…Manifold regularized sparse coding shows promising performance for various applications. The key issue that must be considered in the application is how to…”
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Abstractive Summary of Public Opinion News Based on Element Graph Attention by Huang, Yuxin, Hou, Shukai, Li, Gang, Yu, Zhengtao

“…The summary of case–public opinion refers to the generation of case-related sentences from public opinion information related to judicial cases. Case–public…”
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Structural, elastic and thermodynamic properties of the tetragonal structure of germanium carbonitride by Xing, Mengjiang, Li, Binhua, Yu, Zhengtao, Chen, Qi

“…The structural, mechanical, electronic and thermodynamic properties of the tetragonal structure germanium carbonitride (t-GeCN) were first investigated using…”
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Text detection in natural scene images using morphological component analysis and Laplacian dictionary by Liu, Shuping, Xian, Yantuan, Li, Huafeng, Yu, Zhengtao

“…Text in natural scene images usually carries abundant semantic information. However, due to variations of text and complexity of background, detecting text in…”
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A Deep Neural Network Model for Joint Entity and Relation Extraction by Pang, Yihe, Liu, Jie, Liu, Lizhen, Yu, Zhengtao, Zhang, Kai

“…Joint extraction of entities and their relations from the text is an essential issue in automatic knowledge graph construction, which is also known as the…”
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