Search Results - "Zhao, Zhehuan"

Drug drug interaction extraction from biomedical literature using syntax convolutional neural network by Zhao, Zhehuan, Yang, Zhihao, Luo, Ling, Lin, Hongfei, Wang, Jian

“…Detecting drug-drug interaction (DDI) has become a vital part of public health safety. Therefore, using text mining techniques to extract DDIs from biomedical…”
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An attention-based effective neural model for drug-drug interactions extraction by Zheng, Wei, Lin, Hongfei, Luo, Ling, Zhao, Zhehuan, Li, Zhengguang, Zhang, Yijia, Yang, Zhihao, Wang, Jian

“…Drug-drug interactions (DDIs) often bring unexpected side effects. The clinical recognition of DDIs is a crucial issue for both patient safety and healthcare…”
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Deep Transfer Learning for Modality Classification of Medical Images by Yu, Yuhai, Lin, Hongfei, Meng, Jiana, Wei, Xiaocong, Guo, Hai, Zhao, Zhehuan

“…Medical images are valuable for clinical diagnosis and decision making. Image modality is an important primary step, as it is capable of aiding clinicians to…”
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Protein complexes identification based on go attributed network embedding by Xu, Bo, Li, Kun, Zheng, Wei, Liu, Xiaoxia, Zhang, Yijia, Zhao, Zhehuan, He, Zengyou

“…Identifying protein complexes from protein-protein interaction (PPI) network is one of the most important tasks in proteomics. Existing computational methods…”
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Discovery and biological evaluation of a potent small molecule CRM1 inhibitor for its selective ablation of extranodal NK/T cell lymphoma by Liu, He, Liu, Meisuo, Tian, Xibao, Wang, Haina, Gao, Jiujiao, Li, Hanrui, Zhao, Zhehuan, Liu, Yu, Liu, Caigang, Chen, Xuan, Yang, Yongliang

“…Background: The overactivation of NF-κB signaling is a key hallmark for the pathogenesis of extranodal natural killer/T cell lymphoma (ENKTL), a very…”
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Leveraging Biomedical Resources in Bi-LSTM for Drug-Drug Interaction Extraction by Xu, Bo, Shi, Xiufeng, Zhao, Zhehuan, Zheng, Wei

“…The discovery of drug-drug interaction (DDI) is not only critical in understanding the mechanism of medicine, but also aids in preventing medical error and…”
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Visual and Textual Sentiment Analysis of a Microblog Using Deep Convolutional Neural Networks by Yu, Yuhai, Lin, Hongfei, Meng, Jiana, Zhao, Zhehuan

“…Sentiment analysis of online social media has attracted significant interest recently. Many studies have been performed, but most existing methods focus on…”
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Extracting drug-drug interaction from the biomedical literature using a stacked generalization-based approach by He, Linna, Yang, Zhihao, Zhao, Zhehuan, Lin, Hongfei, Li, Yanpeng

“…Drug-drug interaction (DDI) detection is particularly important for patient safety. However, the amount of biomedical literature regarding drug interactions is…”
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Disease named entity recognition from biomedical literature using a novel convolutional neural network by Zhao, Zhehuan, Yang, Zhihao, Luo, Ling, Wang, Lei, Zhang, Yin, Lin, Hongfei, Wang, Jian

“…Automatic disease named entity recognition (DNER) is of utmost importance for development of more sophisticated BioNLP tools. However, most conventional CRF…”
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HMNPPID-human malignant neoplasm protein-protein interaction database by Li, Qingqing, Yang, Zhihao, Zhao, Zhehuan, Luo, Ling, Li, Zhiheng, Wang, Lei, Zhang, Yin, Lin, Hongfei, Wang, Jian, Zhang, Yijia

“…Protein-protein interaction (PPI) information extraction from biomedical literature helps unveil the molecular mechanisms of biological processes. Especially,…”
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A Connected Convolutional Neutral Network Protocol for Design of Two-Dimensional Materials Based on Modified Graphdiyne by Li, Junqing, Liu, Ziyi, Zhao, Zhehuan, Wang, Dongqi

“…In materials science, doping plays a crucial role in manipulating the electronic properties of materials. Conventional screening via a trial-and-error strategy…”
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Unsupervised Anomaly Detection on Attributed Networks With Graph Contrastive Learning for Consumer Electronics Security by Xu, Bo, Wang, Jinpeng, Zhao, Zhehuan, Lin, Hongfei, Xia, Feng

“…The proliferation of consumer electronic products has engendered a substantial surge in data generation and information exchange, concurrently escalating the…”
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Neural network-based approaches for biomedical relation classification: A review by Zhang, Yijia, Lin, Hongfei, Yang, Zhihao, Wang, Jian, Sun, Yuanyuan, Xu, Bo, Zhao, Zhehuan

“…[Display omitted] •A literature review for neural network-based biomedical relation classification.•Neural network-based approaches automatically learn the…”
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Semantics Driven Multi-View Knowledge Graph Embedding for Cross-Lingual Entity Alignment by Zhang, Xin, Liu, Yu, Zhao, Zhehuan

“…Cross-lingual entity alignment (EA) is a critical step in the integration of multilingual knowledge, which aims to match entities with the same meaning in…”
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A self-supervised entity alignment framework via attribute correction by Zhang, Xin, Liu, Yu, Wei, Hongkui, Shan, Shimin, Zhao, Zhehuan

“…Entity alignment (EA), aiming to match entities with the same meaning across different knowledge graphs (KGs), is a critical step in knowledge fusion. Existing…”
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ML-CNN: A novel deep learning based disease named entity recognition architecture by Zhehuan Zhao, Zhihao Yang, Ling Luo, Yin Zhang, Lei Wang, Hongfei Lin, Jian Wang

“…In this paper, we present a deep learning based disease named entity recognition architecture. First, the word-level embedding, character-level embedding and…”
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HIM: Discovering Implicit Relationships in Heterogeneous Social Networks by Xu, Bo, Wang, Jinpeng, Zhao, Zhehuan, Lin, Hongfei, Xia, Feng

“…To date, research on relation mining has typically focused on analyzing explicit relationships between entities, while ignoring the underlying connections…”
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A graph kernel based on context vectors for extracting drug–drug interactions by Zheng, Wei, Lin, Hongfei, Zhao, Zhehuan, Xu, Bo, Zhang, Yijia, Yang, Zhihao, Wang, Jian

“…[Display omitted] •Graph representation of a sentence obtains relations among different distance words.•Context vectors adequately capture the direct and…”
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A hybrid protein-protein interaction triple extraction method for biomedical literature by Zhehuan Zhao, Zhihao Yang, Cong Sun, Lei Wang, Hongfei Lin

“…Protein-protein interaction extraction research can be widely applied to the field of life science research. However, most of the machine learning based…”
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A Context-Based Network For Referring Image Segmentation by Li, Xinyu, Liu, Yu, Xu, Kaiping, Zhao, Zhehuan, Liu, Sipei

“…Referring image segmentation is an important task aiming at segmenting out the object referred by a natural language expression. Current works usually employ…”
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