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检索条件"机构=Key Laboratories of Data Engineering and Knowledge Engineering"
1142 条 记 录,以下是41-50 订阅
Few-Shot Partial Multi-View Learning
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IEEE Transactions on Pattern Analysis and Machine Intelligence 2023年 第10期45卷 11824-11841页
作者: Zhou, Yuan Guo, Yanrong Hao, Shijie Hong, Richang Luo, Jiebo Ministry of Education Hefei University of Technology The Key Laboratory of Knowledge Engineering with Big Data Hefei230009 China Hefei University of Technology The School of Computer Science and Information Engineering Hefei230009 China University of Rochester The Department of Computer Science RochesterNY14627 United States
It is often the case that data are with multiple views in real-world applications. Fully exploring the information of each view is significant for making data more representative. However, due to various limitations a... 详细信息
来源: 评论
Polynomial-Time Assignment-Based Cell Association with Generic Utility Functions
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China Communications 2022年 第9期19卷 214-228页
作者: Lusheng Wang Chao Fang Hai Lin Min Peng Caihong Kai Key Laboratory of Knowledge Engineering with Big Data Ministry of Education.School of Computer Science and Information EngineeringHefei University of TechnologyHefei 230601China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education.School of Cyber Science and EngineeringWuhan UniversityWuhan 430072China
Cell association is a significant research issue in future mobile communication systems due to the unacceptably large computational time of traditional *** article proposes a polynomial-time cell association scheme wh... 详细信息
来源: 评论
Federated Incremental Named Entity Recognition  31
Federated Incremental Named Entity Recognition
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31st International Conference on Computational Linguistics, COLING 2025
作者: Liu, Zesheng Zhu, Qiannan Li, Cuiping Chen, Hong School of Information Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering MOE China Engineering Research Center of Database and Business Intelligence MOE China School of Artificial Intelligence Beijing Normal University Beijing China Engineering Research Center of Intelligent Technology and Educational Application MOE China
Federated learning-based Named Entity Recognition (FNER) has attracted widespread attention through decentralized training on local clients. However, most FNER models assume that entity types are pre-fixed, so in prac... 详细信息
来源: 评论
NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning  25
NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on ...
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34th ACM Web Conference, WWW 2025
作者: Li, Ken Shi, Bin Wei, Jiazhe Dong, Bo School of Computer Science and Technology Xi’an Jiaotong University Ministry of Education Key Laboratory of Intelligent Networks and Network Security Xi’an China School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi’an China School of Distance Education Xi’an Jiaotong University Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi’an China
Federated Graph Learning (FedGL) is an emerging Federated Learning (FL) framework that learns the graph data from various clients to train better Graph Neural Networks(GNNs) model. Owing to concerns regarding the secu... 详细信息
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DSM: Question Generation over knowledge Base via Modeling Diverse Subgraphs with Meta-learner
DSM: Question Generation over Knowledge Base via Modeling Di...
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2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
作者: Guo, Shasha Zhang, Jing Wang, Yanling Zhang, Qianyi Li, Cuiping Chen, Hong School of Information Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education China
Existing methods on knowledge base question generation (KBQG) learn a one-size-fits-all model by training together all subgraphs without distinguishing the diverse semantics of subgraphs. In this work, we show that ma... 详细信息
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Fair Personalized Learner Modeling Without Sensitive Attributes  25
Fair Personalized Learner Modeling Without Sensitive Attribu...
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34th ACM Web Conference, WWW 2025
作者: Xu, Hefei Hou, Min Wu, Le Liu, Fei Yang, Yonghui Bai, Haoyue Hong, Richang Wang, Meng Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Anhui Hefei China Institute of Dataspace Hefei Comprehensive National Science Center Anhui Hefei China
Personalized learner modeling uses learners’ historical behavior data to diagnose their cognitive abilities, a process known as Cognitive Diagnosis (CD). This is essential for web-based learning services such as lear... 详细信息
来源: 评论
Logit Adjustment for Imbalanced Cognitive Diagnosis
Logit Adjustment for Imbalanced Cognitive Diagnosis
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Algorithms, Computing and Machine Learning (CACML), Asia Conference on
作者: Zhengtao Tan Jimin Bao Zhuangzhuang He Dacao Zhang Key Laboratory of Knowledge Engineering With Big Data Hefei University of Technology Hefei China
Cognitive diagnosis is a critical task in intelligent education, aimed at inferring students’ mastery of knowledge concepts based on their response logs. Although existing cognitive diagnosis models achieve excellent... 详细信息
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An Intelligent Design Method Based on Case-based Reasoning and Reinforcement Learning
An Intelligent Design Method Based on Case-based Reasoning a...
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2023 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2023
作者: Huang, Yu Wang, Ru Wei, Zhuqin Wang, Guoxin School of Machanical Engineering Beijing Institute of Technology Key Laboratory of Industry Knowledge & Data Fusion Technology and Application Ministry of Industry and Information Technology Beijing China
Enterprises currently face the challenge of reducing production cycles and costs and utilizing existing cases for making changes and iterations has emerged as a viable solution. However, the acquisition and modificati... 详细信息
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Partial Label Learning via Conditional-Label-Aware Disambiguation
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Journal of Computer Science & Technology 2021年 第3期36卷 590-605页
作者: Peng Ni Su-Yun Zhao Zhi-Gang Dai Hong Chen Cui-Ping Li Key Laboratory of Data Engineering and Knowledge Engineering(Renmin University of China) Ministry of Education Beijing 100087China School of Information Renmin University of ChinaBeijing 100087China
Partial label learning is a weakly supervised learning framework in which each instance is associated with multiple candidate labels,among which only one is the ground-truth *** paper proposes a unified formulation th... 详细信息
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Efficient Model Store and Reuse in an OLML database System
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Journal of Computer Science & Technology 2021年 第4期36卷 792-805页
作者: Jian-Wei Cui Wei Lu Xin Zhao Xiao-Yong Du Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education Renmin University of China Beijing 100872China School of Information Renmin University of ChinaBeijing 100872China
Deep learning has shown significant improvements on various machine learning tasks by introducing a wide spectrum of neural network ***,for these neural network models,it is necessary to label a tremendous amount of t... 详细信息
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