中国科学院计算技术研究所机构知识库

浏览/检索结果: 共54条，第1-10条

帮助

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序期刊影响因子升序期刊影响因子降序发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序WOS被引频次升序WOS被引频次降序
	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)
	Searching to extrapolate embedding for out-of-graph node representation learning 期刊论文 NEURAL NETWORKS, 2025, 卷号: 184, 页码: 15 作者:  Shen, Zhenqian;  Guo, Shuhan;  Wen, Yan;  Wei, Lanning;  Zhang, Wengang;  Luo, Yuanhai;  Wu, Chongwu;  Yao, Quanming 收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25 Graph neural network  Neural architecture search  Graph embedding  Out-of-sample learning
	OS-SSVEP: One-shot SSVEP classification 期刊论文 NEURAL NETWORKS, 2024, 卷号: 180, 页码: 12 作者:  Deng, Yang;  Ji, Zhiwei;  Wang, Yijun;  Zhou, S. Kevin 收藏  |  浏览/下载：17/0  |  提交时间：2024/12/06 Brain-computer interface (BCI)  Steady-state visual evoked potential (SSVEP)  One-shot classification  Transfer learning  Data augmentation
	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：1/0  |  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：20/0  |  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：13/0  |  提交时间：2024/12/06 Asymmetry  causal discovery  discrete additive noise model (ANM)  weighted normalized Wasserstein distance
	Towards generalizable Graph Contrastive Learning: An information theory perspective 期刊论文 NEURAL NETWORKS, 2024, 卷号: 172, 页码: 17 作者:  Yuan, Yige;  Xu, Bingbing;  Shen, Huawei;  Cao, Qi;  Cen, Keting;  Zheng, Wen;  Cheng, Xueqi 收藏  |  浏览/下载：23/0  |  提交时间：2024/05/20 Graph Contrastive Learning  Generalization  Information theory