| 序号 | 论文名称 | 类型 |
| 01 |
Improving Distant Supervised Relation Extraction with Noise Detection Strategy |
SCI |
| 02 | RTJTN: Relational Triplet Joint Tagging Network for Joint Entity and Relation Extraction | SCI |
| 03 | Prediction of lncRNA-disease associations via an embedding learning HOPE in heterogeneous information networks | SCI |
| 04 | DANE-MDA: Predicting microRNA-disease associations via deep attributed network embedding | SCI |
| 05 | A Deep Learning Method for Repurposing Antiviral Drugs Against New Viruses via Multi-view Non-negative Matrix Factorization and Its Application to SARS-CoV-2 | SCI |
| 06 | An Efficient Computational Model for Large-Scale Prediction of Protein–Protein Interactions Based on Accurate and Scalable Graph Embedding | SCI |
| 07 | A novel method to predict drug-target interactions based on large-scale graph representation learning | SCI |
| 08 | MGRL: Predicting Drug-Disease Associations Based on Multi-Graph Representation Learning | SCI |
| 09 | In silico drug repositioning using deep learning and comprehensive similarity measures | SCI |
| 10 | SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning | SCI |
| 11 | Generative Difference Image for Blind Image Quality Assessment | EI收录 |
| 12 | Detection of Drug-Drug Interactions Through Knowledge Graph Integrating Multi-attention with Capsule Network | EI收录 |
| 13 | Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation | EI收录 |
| 14 | A Multi-graph Deep Learning Model for Predicting Drug-Disease Associations | EI收录 |
| 15 | Graph representation learning in bioinformatics: trends, methods and applications | SCI |
| 16 | Hybrid System Combination Framework for Uyghur–Chinese Machine Translation | EI收录 |
| 17 | Pre-Training on Mixed Data for Low-Resource Neural Machine Translation | EI收录 |
| 18 | 一种改进的自适应知识图谱嵌入式表示方法 | 中文核心 |
| 19 | 基于预训练模型和图卷积网络的中文短文本实体链接 | 中文核心 |
| 20 | 基于时间注意力胶囊网络的维吾尔语情感分类模型 | 中文核心 |
| 序号 | 论文名称 | 类型 |
| 01 | 基于时空大数据的异常车辆检测 | CSCD |
| 02 | Variance Error of Multi-Classification based Anomaly Detection for Time Series Data | EI收录 |
| 03 | Time-Series Classification based on Fusion Features of Sequence and Visualization | SCI收录 |
| 04 | 基于LSTM-GAN的加油时序数据异常检测 | 中文核心 |
| 05 | Constructing Uyghur Named Entity Recognition System using Neural Machine Translation Tag Projection | EI |
| 06 | A Joint Back-Translation and Transfer Learning Method for Low-Resource Neural Machine Translation | SCI |
| 07 | 基于非自回归方法的维汉神经机器翻译 | 中文核心 |
| 08 | Multi-Source Neural Model for Machine Translation of Agglutinative Language | EI |
| 09 | A Diverse Data Augmentation Strategy for Low-Resource Neural Machine Translation | EI |
| 10 | Punctuation and Parallel Corpus Based Word Embedding Model for Low-Resource Languages | EI |
| 11 | 面向维汉神经机器翻译的双向重排序模型分析 | EI |
| 12 | NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information | SCI收录 |
| 13 | Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model | SCI收录 |
| 14 | Prediction of drug-target interactions from multi-molecular network based on LINE network representation method | SCI收录 |
| 15 | Learning Representations to Predict Intermolecular Interactions on Large-Scale Heterogeneous Molecular Association Network | SCI收录 |
| 16 | RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information | SCI收录 |
| 17 | Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations | SCI收录 |
| 18 | Learning distributed representations of RNA and protein sequences and its application for predicting lncRNA-protein interactions | SCI收录 |
| 19 | Prediction of Drug–Target Interactions From Multi-Molecular Network Based on Deep Walk Embedding Model | SCI收录 |
| 20 | Integrative Construction and Analysis of Molecular Association Network in Human Cells by Fusing Node Attribute and Behavior Information | SCI收录 |
| 序号 | 论文名称 | 类型 |
| 01 | Constructing Uyghur Commonsense Knowledge Base by Knowledge Projection. | SCI |
| 02 | Hierarchical Transfer Learning Architecture for Low-Resource Neural Machine Translation | SCI |
| 03 | Spelling Correction of Non-Word Errors in Uyghur–Chinese Machine Translation | EI收录 |
| 04 | Construction of the Uyghur Noun Morphological Re-Inflection Model Based on Hybrid Strategy | SCI |
| 05 | A novel deep learning method for obtaining bilingual corpus from multilingual website | SCI |
| 06 | Research of Uyghur-Chinese Machine Translation System Combination Based on Semantic Information | EI会议 |
| 07 | A Bilingual Discourse Corpus and Its Applications | EI会议 |
| 08 | 面向维汉神经机器翻译的双向重排序模型分析 | EI收录 |
| 09 | 面向维汉机器翻译的层次化多特征融合模型 | 中文核心收录 会议 |
| 10 | 基于LDA主题模型的维吾尔语无监督词义消歧 | 中文核心收录 会议 |
| 11 | 融合多种语言学特征的维吾尔语神经网络命名实体识别 | 中文核心收录 |
| 12 | A Semisupervised Tag-Transition-Based Markovian Model for Uyghur Morphology Analysis | EI收录 |
| 13 | 基于融合时空数据的车辆加油行为多视图深度异常检测框架 | CSCD收录 |
| 14 | A Multi-View Spatial-Temporal Network for Vehicle Refueling Demand Inference | EI收录 会议 |
| 15 | 基于双向LSTM的Seq2Seq模型在加油站时序数据异常检测中的应用 | CSCD收录 |
| 16 | 基于真值发现的加油站车辆号牌缺损数据填充方法 | CSCD收录 |
| 17 | 基于多维时序日志的异常行为可视分析 | CSCD收录 |
| 18 | A Type-Based Blocking Technique for Efficient Entity Resolution over Large-Scale Data | SCI收录 |
| 19 | 面向维汉神经机器翻译的双向重排序模型分析 | EI收录 |
| 20 | Spelling Correction of Non-Word Errors in Uyghur–Chinese Machine Translation | EI收录 |
