中国科学院计算技术研究所机构知识库

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	SGKGE: Semantically Guided Knowledge Graph Embeddings via Complementary Latent Representations 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2025, 页码: 14 作者:  Liu, Ruizhou;  Cao, Zongsheng;  Wu, Zhe;  Wu, Yiling;  Xu, Qianqian;  Huang, Qingming 收藏  |  浏览/下载：6/0  |  提交时间：2025/06/25 Semantics  Manifolds  Vectors  Training  Tensors  Knowledge graphs  Animals  Translation  Tail  Matrix decomposition  Hyperbolic manifold  knowledge graph embedding (KGE)
	A Survey on Causal Reinforcement Learning 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 21 作者:  Zeng, Yan;  Cai, Ruichu;  Sun, Fuchun;  Huang, Libo;  Hao, Zhifeng 收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25 Cause effect analysis  Surveys  Mathematical models  Drugs  Sun  Reviews  Reinforcement learning  Decision making  Data models  Computer science  Causal discovery  causal inference  causal reinforcement learning (CRL)  Markov decision process (MDP)  sequential decision-making
	Toward Generalized Multistage Clustering: Multiview Self-Distillation 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 14 作者:  Wang, Jiatai;  Xu, Zhiwei;  Wang, Xin;  Li, Tao 收藏  |  浏览/下载：9/0  |  提交时间：2025/06/25 Semantics  Feature extraction  Contrastive learning  Mutual information  Clustering methods  Representation learning  Computational modeling  Training  Knowledge engineering  Predictive models  Hierarchical contrastive learning  multistage clustering  multiview self-distillation  mutual information between views
	Context-Aware ProposalBoundary Network With Structural Consistency for Audiovisual Event Localization 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 卷号: 35, 期号: 11, 页码: 15872-15882 作者:  Wang, Hao;  Zha, Zheng-Jun;  Li, Liang;  Chen, Xuejin;  Luo, Jiebo 收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25 Proposals  Visualization  Location awareness  Encoding  Task analysis  Feature extraction  Aggregates  Audiovisual learning  context learning  event localization
	A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 12 作者:  Su, Jie;  Sun, Peng;  Jiang, Yuting;  Wen, Zhenyu;  Guo, Fangda;  Wu, Yiming;  Hong, Zhen;  Duan, Haoran;  Huang, Yawen;  Ranjan, Rajiv;  Zheng, Yefeng 收藏  |  浏览/下载：14/0  |  提交时间：2024/12/06 Deep learning  few-shot learning (FSL)  Internet of Things (IoT)  signal processing
	Progressive Decision Boundary Shifting for Unsupervised Domain Adaptation 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 12 作者:  Li, Liang;  Lu, Tongyu;  Sun, Yaoqi;  Gao, Yuhan;  Yan, Chenggang;  Hu, Zhenghui;  Huang, Qingming 收藏  |  浏览/下载：22/0  |  提交时间：2024/12/06 Uncertainty  Feature extraction  Semantics  Task analysis  Training  Adversarial machine learning  Symbols  Domain shifting  progressive decision boundary  self-learning  unsupervised domain adaptation (UDA)
	Causal Discovery on Discrete Data via Weighted Normalized Wasserstein Distance 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 卷号: 35, 期号: 4, 页码: 4911-4923 作者:  Wei, Yi;  Li, Xiaofei;  Lin, Lihui;  Zhu, Dengming;  Li, Qingyong 收藏  |  浏览/下载：14/0  |  提交时间：2024/12/06 Asymmetry  causal discovery  discrete additive noise model (ANM)  weighted normalized Wasserstein distance
	DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 14 作者:  Huang, Nisha;  Zhang, Yuxin;  Tang, Fan;  Ma, Chongyang;  Huang, Haibin;  Dong, Weiming;  Xu, Changsheng 收藏  |  浏览/下载：34/0  |  提交时间：2024/05/20 Arbitrary image stylization  diffusion  textual guidance  neural network applications
	Semantic and Correlation Disentangled Graph Convolutions for Multilabel Image Recognition 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13 作者:  Cai, Shaofei;  Li, Liang;  Han, Xinzhe;  Huang, Shan;  Tian, Qi;  Huang, Qingming 收藏  |  浏览/下载：30/0  |  提交时间：2024/05/20 Attention mechanism  feature disentangling  graph convolutional network (GCN)  multilabel recognition
	Federated Data Quality Assessment Approach: Robust Learning With Mixed Label Noise 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15 作者:  Zeng, Bixiao;  Yang, Xiaodong;  Chen, Yiqiang;  Yu, Hanchao;  Hu, Chunyu;  Zhang, Yingwei 收藏  |  浏览/下载：33/0  |  提交时间：2023/12/04 Noise measurement  Servers  Task analysis  Adaptation models  Data models  Data integrity  Computers  Data quality assessment  federated learning (FL)  noise-robust algorithm