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检索条件"机构=A Key Laboratory of Symbolic Computation and Knowledge Engineering"
1231 条 记 录,以下是71-80 订阅
排序:
PNESR-DDI: An Effective Drug-Drug Interaction Prediction Model Based on Pretraining Method and Enhanced Subgraph Reconstruction
PNESR-DDI: An Effective Drug-Drug Interaction Prediction Mod...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Chen, Ke Han, Xiaosong Li, Xiaoran Liang, Yanchun Xu, Dong Guan, Renchu Jilin University Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry College of Software Changchun China Jilin University Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry College of Computer Science and Technology Changchun China Zhuhai College of Science and Technology Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education School of Computer Science Zhuhai China University of Missouri Christopher S. Bond Life Sciences Center Department of Electrical Engineering and Computer Science Columbia United States
Drug-Drug Interaction (DDI) task plays a crucial role in clinical treatment and drug development. Recently, deep learning methods have been successfully applied for DDI prediction. However, training deep learning mode... 详细信息
来源: 评论
SMRI: A New Method for siRNA Design for COVID-19 Therapy
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Journal of Computer Science & Technology 2022年 第4期37卷 991-1002页
作者: Meng-Xin Chen Xiao-Dong Zhu Hao Zhang Zhen Liu Yuan-Ning Liu College of Software Jilin UniversityChangchun 130012China Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education Jilin UniversityChangchun 130012China College of Computer Science and Technology Jilin UniversityChangchun 130012China Graduate School of Engineering Nagasaki Institute of Applied ScienceNagasaki 851-0193Japan
First discovered in Wuhan, China, SARS-CoV-2 is a highly pathogenic novel coronavirus, which rapidly spreads globally and becomes a pandemic with no vaccine and limited distinctive clinical drugs available till March ... 详细信息
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Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss  38
Semi-supervised Multi-label Learning with Balanced Binary An...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Li, Ximing Liang, Silong Li, Changchun Wang, Pengfei Gu, Fangming College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China Computer Network Information Center Chinese Academy of Sciences China University of Chinese Academy of Sciences Chinese Academy of Sciences China
Semi-supervised multi-label learning (SSMLL) refers to inducing classifiers using a small number of samples with multiple labels and many unlabeled samples. The prevalent solution of SSMLL involves forming pseudo-labe...
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An Automatic Solution in Security Inspection
An Automatic Solution in Security Inspection
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International Conference on Machine Vision and Information Technology (CMVIT)
作者: Hui Zhang Xiaoli Zhang Key Laboratory of Symbolic Computation and Knowledge Engineer Ministry of Education Changchun China
In this paper, we present a brand new dataset named cellphone buttery defects in X-ray(CBDx). CBDx consists of 300 X-ray images and 250 of them are anomaly free. We name them ‘good’. Others have some defects in the ...
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Decision mamba: reinforcement learning via hybrid selective sequence modeling  24
Decision mamba: reinforcement learning via hybrid selective ...
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Proceedings of the 38th International Conference on Neural Information Processing Systems
作者: Sili Huang Jifeng Hu Zhejian Yang Liwei Yang Tao Luo Hechang Chen Lichao Sun Bo Yang Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education and School of Artificial Intelligence Jilin University China School of Artificial Intelligence Jilin University China Institute of High Performance Computing Agency for Science Technology and Research Singapore Lehigh University Bethlehem Pennsylvania Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education
Recent works have shown the remarkable superiority of transformer models in reinforcement learning (RL), where the decision-making problem is formulated as sequential generation. Transformer-based agents could emerge ...
来源: 评论
Measuring drug similarity using drug–drug interactions
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Quantitative Biology 2024年 第2期12卷 164-172页
作者: Ji Lv Guixia Liu Yuan Ju Houhou Huang Ying Sun College of Computer Science and Technology Jilin UniversityChangchunChina Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchunChina Sichuan University Library Sichuan UniversityChengduChina College of Chemistry Jilin UniversityChangchunChina Department of Respiratory Medicine The First Hospital of Jilin UniversityChangchunChina
Combination therapy is a promising approach to address the challenge of antimicrobial resistance,and computational models have been proposed for predicting drug–drug *** existing models rely on drug similarity measur... 详细信息
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Injecting Revenue-awareness into Cold-start Recommendation: The Case of Online Insurance  29
Injecting Revenue-awareness into Cold-start Recommendation: ...
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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023
作者: Li, Yu Zhang, Yi Chang, Helen He Li, Qiang Jilin University College of Computer Science and Technology China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education China WeSure Inc. Ping An Technology Shenzhen Co. Ltd China
In online insurance, one of the central challenges is the cold-starting of new insurance products, which means there are no previous samples to refer to. Previous studies have mainly focused on improving the predictio...
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A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation  39
A Unified Loss for Handling Inter-Class and Intra-Class Imba...
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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Xu, Feilong Yang, Feiyang Li, Xiongfei Zhang, Xiaoli Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China College of Computer Science and Technology Jilin University China
In utilizing deep learning techniques for medical image segmentation, two types of imbalance issues are observed: inter-class imbalance between majority and minority classes and intra-class imbalance between easy and ... 详细信息
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A Simple Graph Contrastive Learning Framework for Short Text Classification
arXiv
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arXiv 2025年
作者: Liu, Yonghao Giunchiglia, Fausto Huang, Lan Li, Ximing Feng, Xiaoyue Guan, Renchu Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Jilin University China University of Trento Italy
Short text classification has gained significant attention in the information age due to its prevalence and real-world applications. Recent advancements in graph learning combined with contrastive learning have shown ... 详细信息
来源: 评论
A Simple Graph Contrastive Learning Framework for Short Text Classification  39
A Simple Graph Contrastive Learning Framework for Short Text...
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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Liu, Yonghao Giunchiglia, Fausto Huang, Lan Li, Ximing Feng, Xiaoyue Guan, Renchu Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Jilin University China University of Trento Italy
Short text classification has gained significant attention in the information age due to its prevalence and real-world applications. Recent advancements in graph learning combined with contrastive learning have shown ... 详细信息
来源: 评论