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SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2025, 卷号: 37, 期号: 11, 页码: 6651-6665
作者:  Cao, Zongsheng;  Xu, Qianqian;  Yang, Zhiyong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Cognition  Knowledge graphs  Representation learning  Semantics  Optimization  Logic  Accuracy  Data mining  Training  Artificial intelligence  Knowledge graph  logic query answering  semantic-aware learning  hierarchical reasoning optimization  
Uncertainty-Aware Mixture of Experts for Video Action Anticipation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2025, 卷号: 35, 期号: 11, 页码: 11158-11171
作者:  Qi, Zhaobo;  Wang, Shuhui;  Zhang, Weigang;  Huang, Qingming
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Uncertainty  Training  Computational modeling  Accuracy  Transformers  Parallel processing  Integrated circuit modeling  Benchmark testing  Visualization  Vectors  Action anticipation  video evolution uncertainty  mixture of experts  
DMutDE: Dual-View Mutual Distillation Framework for Knowledge Graph Embeddings 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2025, 页码: 14
作者:  Liu, Ruizhou;  Wu, Zhe;  Wu, Yiling;  Cao, Zongsheng;  Xu, Qianqian;  Huang, Qingming
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Training  Data models  Predictive models  Cognition  Knowledge graphs  Electronic mail  Translation  Semantics  Noise  Costs  Knowledge distillation (KD)  knowledge graph (KG)  knowledge graph embedding (KGE)  
AUCPro: AUC-Oriented Provable Robustness Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2025, 卷号: 47, 期号: 6, 页码: 4579-4596
作者:  Bao, Shilong;  Xu, Qianqian;  Yang, Zhiyong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Robustness  Training  Perturbation methods  Machine learning  Heavily-tailed distribution  Smoothing methods  Gaussian noise  Data mining  Standards  Protocols  AUC-oriented learning  adversarial robustness  machine learning  
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：44/0  |  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)