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检索条件"机构=Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education"
1049 条 记 录,以下是21-30 订阅
排序:
Efficient Sharing of Energy Consumption Data: A Privacy-Preserving Threshold Aggregation Approach
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IEEE Internet of Things Journal 2025年
作者: Li, Guohao Zhou, Lu Lian, Jiale Liu, Siyi Yang, Li Zhong, Yantao Li, Qiang Xidian University School of Computer Science and Technology Xi’an China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China Co. Ltd Guangdong Shenzhen China
Energy consumption data collected by smart meters is increasingly used by various subscribers in the smart grid for load management, energy monitoring, and policy planning. To protect user privacy, edge-assisted priva... 详细信息
来源: 评论
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport  25
Enhancing Unsupervised Graph Few-shot Learning via Set Funct...
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Proceedings of the 31st ACM SIGKDD Conference on knowledge Discovery and Data Mining V.1
作者: Yonghao Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Jilin University Changchun China Department of Information Engineering and Computer Science University of Trento Trento Italy
Graph few-shot learning has garnered significant attention for its ability to rapidly adapt to downstream tasks with limited labeled data, sparking considerable interest among researchers. Recent advancements in graph... 详细信息
来源: 评论
Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO
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IEEE Transactions on Neural Networks and Learning Systems 2025年 第5期36卷 9136-9149页
作者: Huang, Sili Chen, Hechang Piao, Haiyin Sun, Zhixiao Chang, Yi Sun, Lichao Yang, Bo Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineer of Ministry of Education School of Artificial Intelligence Changchun130012 China Jilin University School of Artificial Intelligence Changchun130012 China Northwestern Polytechnical University Unmanned System Research Institute Xi’an710068 China Lehigh University Department of Computer Science and Engineering BethlehemPA18015 United States Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineer of Ministry of Education School of Computer Science and Technology Changchun130012 China
Multiagent policy gradients (MAPGs), an essential branch of reinforcement learning (RL), have made great progress in both industry and academia. However, existing models do not pay attention to the inadequate training... 详细信息
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VECLLF: A vehicle-edge collaborative lifelong learning framework for anomaly detection in VANETs
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Computer Networks 2025年 265卷
作者: Wang, Yingqing Liang, Yanhua Huang, Yue Qin, Guihe Jilin University College of Computer Science and Technology Changchun130012 China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun130012 China Jilin University Center for Computer Fundamental Education Changchun130012 China
With the rapid development of intelligent connected vehicles, Vehicular Ad Hoc Network (VANET) is widely used in intelligent transportation systems. VANETs are vulnerable to attacks in their operating environments, su... 详细信息
来源: 评论
A Correlated Data-Driven Collaborative Beamforming Approach for Energy-efficient IoT Data Transmission
arXiv
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arXiv 2025年
作者: Li, Yangning Kang, Hui Li, Jiahui Sun, Geng Sun, Zemin Wang, Jiacheng Zhao, Changyuan Niyato, Dusit College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China College of Computing and Data Science Nanyang Technological University 639798 Singapore College of Computing and Data Science Nanyang Technological University Singapore
An expansion of Internet of Things (IoTs) has led to significant challenges in wireless data harvesting, dissemination, and energy management due to the massive volumes of data generated by IoT devices. These challeng... 详细信息
来源: 评论
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
arXiv
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arXiv 2025年
作者: Liu, Yonghao Giunchiglia, Fausto Li, Ximing Huang, Lan Feng, Xiaoyue Guan, Renchu College of Computer Science and Technology Jilin University Changchun China Department of Information Engineering and Computer Science University of Trento Trento Italy Key Laboratory of Symbolic Computation and Knowledge Engineering The Ministry of Education China
Graph few-shot learning has garnered significant attention for its ability to rapidly adapt to downstream tasks with limited labeled data, sparking considerable interest among researchers. Recent advancements in graph... 详细信息
来源: 评论
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
arXiv
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arXiv 2025年
作者: Liu, Yonghao Li, Mengyu Giunchiglia, Fausto Huang, Lan Li, Ximing Feng, Xiaoyue Guan, Renchu College of Computer Science and Technology Jilin University Changchun China Department of Information Engineering and Computer Science University of Trento Trento Italy Key Laboratory of Symbolic Computation and Knowledge Engineering The Ministry of Education China
Graph neural networks have been demonstrated as a powerful paradigm for effectively learning graph-structured data on the web and mining content from it. Current leading graph models require a large number of labeled ... 详细信息
来源: 评论
AHMSA-Net: Adaptive Hierarchical Multi-Scale Attention Network for Micro-Expression Recognition
arXiv
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arXiv 2025年
作者: Zhang, Lijun Zhang, Yifan Tang, Weicheng Sun, Xinzhi Wang, Xiaomeng Li, Zhanshan College of Computer Science and Technology Jilin University Changchun Jilin130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin130012 China
Micro-expression recognition (MER) presents a significant challenge due to the transient and subtle nature of the motion changes involved. In recent years, deep learning methods based on attention mechanisms have made... 详细信息
来源: 评论
Dual-Network Cross-Learning for Metabolite-Disease Association Prediction
IEEE Transactions on Computational Biology and Bioinformatic...
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IEEE Transactions on computational Biology and Bioinformatics 2025年 第2期22卷 545-556页
作者: Yanxin Chen Qiao Ning Yitong Zhang Hui Li Shikai Guo Department of Information Science and Technology Dalian Maritime University Dalian China School of Artificial Intelligence and Computer Science Jiangnan University Wuxi China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Dalian Key Laboratory of Artificial Intelligence Dalian China
In recent years, increasing evidence has demonstrated a close association between metabolites and various complex human diseases, providing valuable insights for disease diagnosis, treatment, and prevention. Although ... 详细信息
来源: 评论
Information Entropy Invariance: Enhancing Length Extrapolation in Attention Mechanisms
arXiv
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arXiv 2025年
作者: Li, Kewei Kong, Yanwen Xu, Yiping Su, Jianlin Huang, Lan Zhang, Ruochi Zhou, Fengfeng College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Jilin Changchun130012 China Moonshot AI Ltd. Beijing100086 China
Since the emergence of research on improving the length extrapolation capabilities of large models in 2021, some studies have made modifications to the scaling factor in the scaled dot-product attention mechanism as p... 详细信息
来源: 评论