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检索条件"机构=Key Laboratory of Symbolic Computing and Knowledge Engineering of"
1005 条 记 录,以下是171-180 订阅
排序:
A Novel Drug-Drug Interaction Prediction Model Based on Line Subgraph Generation Strategy
A Novel Drug-Drug Interaction Prediction Model Based on Line...
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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
作者: Bai, Tian Li, Chu Peng, Xinyue Guan, Haotian Zhang, Zefan Wang, Guishen Jilin University College of Computer Science and Technology Changchun China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China Jilin University College of Software Changchun China Jilin University School of Nursing Changchun China Jilin University School of Life Sciences Changchun China Changchun University of Technology College of Computer Science and Engineering Changchun China
Drug-Drug Interaction (DDI) prediction task is helpful for better-understanding drugs. In this paper, we propose a novel drug-drug interaction prediction model based on line subgraph generation strategy, named DDI-LSG... 详细信息
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ReconBoost: Boosting Can Achieve Modality Reconcilement  41
ReconBoost: Boosting Can Achieve Modality Reconcilement
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41st International Conference on Machine Learning, ICML 2024
作者: Hua, Cong Xu, Qianqian Bao, Shilong Yang, Zhiyong Huang, Qingming Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Institute of Information Engineering Chinese Academy of Sciences Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China
This paper explores a novel multi-modal alternating learning paradigm pursuing a reconciliation between the exploitation of uni-modal features and the exploration of cross-modal interactions. This is motivated by the ... 详细信息
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Structural Optimization of Causal Driven Model Based on Bayesian Network in High-dimensional Data Classification
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Applied Mathematics and Nonlinear Sciences 2025年 第1期10卷
作者: Li, Kuo Wang, Aimin Wang, Limin Zhao, Yuetan Zhu, Xinyu College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun130012 China College of Software Jilin University Changchun130012 China
The Bayesian network (BN) model, as a big data graph model that integrates causal inference and probabilistic representation, has received widespread attention and research in both academia and industry. However, with... 详细信息
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Attribute imputation autoencoders for attribute-missing graphs
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knowledge-Based Systems 2024年 291卷
作者: Xia, Riting Zhang, Chunxu Li, Anchen Liu, Xueyan Yang, Bo Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China School of Artificial Intelligence Jilin University Jilin Changchun130012 China School of Computer Science and Technology Jilin University Jilin Changchun130012 China
Analyzing attribute-missing graphs with a complete topology, but missing the attributes of some nodes, is an emerging and challenging research topic. Data imputation techniques based on graph autoencoders are commonly... 详细信息
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Intelligent Fast Cell Association Scheme Based on Deep Q-Learning in Ultra-Dense Cellular Networks
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China Communications 2021年 第2期18卷 259-270页
作者: Jinhua Pan Lusheng Wang Hai Lin Zhiheng Zha Caihong Kai Key Laboratory of Knowledge Engineering with Big Data Ministry of Education.School of Computer Science and Information EngineeringHefei University of TechnologyHefei 230601China Anhui Province Key Laboratory of Industry Safety and Emergency Technology Hefei 230601China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education.School of Cyber Science and EngineeringWuhan UniversityWuhan 430072China
To support dramatically increased traffic loads,communication networks become *** cell association(CA)schemes are timeconsuming,forcing researchers to seek fast *** paper proposes a deep Q-learning based scheme,whose ... 详细信息
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SMT(LIA) Sampling with High Diversity
arXiv
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arXiv 2025年
作者: Lai, Yong Li, Junjie Luo, Chuan College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun130012 China School of Software Beihang University Beijing100191 China
Satisfiability Modulo Linear Integer Arithmetic, SMT(LIA) for short, is pivotal across various critical domains. Previous research has primarily focused on SMT solving techniques. However, in practical applications su... 详细信息
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Towards More Accurate and Complete Iris Segmentation Using Hybrid Transformer U-Net
Towards More Accurate and Complete Iris Segmentation Using H...
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IEEE International Joint Conference on Biometrics (IJCB)
作者: Ye Sun Yinan Lu Yuanning Liu Xiaodong Zhu College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education
Iris images captured in less-constrained environments often suffer from adverse noise, challenging many existing segmentation algorithms. In this paper, we propose an efficient Hybrid Transformer U-Net (HTU-Net) to ad... 详细信息
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Learning Stable Task-Level Manifold for Few-Shot Learning
Learning Stable Task-Level Manifold for Few-Shot Learning
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Proceedings of the Digital Image computing: Technqiues and Applications (DICTA)
作者: Siyi Yu Wei Luo Gang Li Bo Yang College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education China School of Information Technology Deakin University Geelong Australia
Few-shot learning (FSL) aims to learn to new concepts based on very limited data. One of the main challenges in FSL is the use of pretrained embeddings whose dimension is too high for the small sample size. While the ...
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Mask2Edge: Masking dependencies and dynamically capturing pixel differences in edge detection
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Expert Systems with Applications 2025年 286卷
作者: Zhou, Jianhang Zhao, Hongwei Qu, Daikun Xing, Long College of Computer Science and Technology Jilin University Jilin Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Jilin Changchun130012 China Army Artillery and Air Defense Academy Sergeant School Liaoning Shenyang110000 China
Edge detection plays an important role in computer vision tasks. Deep learning-based edge detectors commonly rely on encoding the long and short-term dependencies of pixel values to mine contextual information. They s... 详细信息
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Learning Group-Disentangled Representation for Interpretable Thoracic Pathologic Prediction
Learning Group-Disentangled Representation for Interpretable...
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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
作者: Li, Hao Wu, Yirui Hu, Hexuan Lu, Hu Lai, Yong Wan, Shaohua Hohai University Key Laboratory of Water Big Data Technology of Ministry of Water Resources China College of Computer and Information Hohai University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China School of Computer Science and Communication Engineering Jiangsu University China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China China
Deep learning methods have shown significant performance in medical image analysis tasks. However, they generally act like 'black box' without explanations in both feature extraction and decision processes, le... 详细信息
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