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检索条件"机构=Key Laboratory of Symbolic Computing and Knowledge Engineering"
1026 条 记 录,以下是931-940 订阅
排序:
Geometry Interaction knowledge Graph Embeddings
arXiv
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arXiv 2022年
作者: Cao, Zongsheng Xu, Qianqian Yang, Zhiyong Cao, Xiaochun Huang, Qingming State Key Laboratory of Information Security Institute of Information Engineering CAS Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China Peng Cheng Laboratory Shenzhen China
knowledge graph (KG) embeddings have shown great power in learning representations of entities and relations for link prediction tasks. Previous work usually embeds KGs into a single geometric space such as Euclidean ... 详细信息
来源: 评论
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
arXiv
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arXiv 2023年
作者: Zhang, Chunxu Zhang, Zijian Long, Guodong Yan, Peng Zhou, Tianyi Yang, Bo College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China College of Computer Science and Technology Jilin University City University of Hong Kong China Australian Artificial Intelligence Institute FEIT University of Technology Sydney Sydney Australia Computer Science and UMIACS University of Maryland Maryland United States
Federated recommendation systems usually trains a global model on the server without direct access to users’ private data on their own devices. However, this separation of the recommendation model and users’ private... 详细信息
来源: 评论
Automatic Controversy Detection Based on Heterogeneous Signed Attributed Network and Deep Dual-Layer Self-Supervised Community Analysis
SSRN
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SSRN 2023年
作者: Li, Ying Zhang, Xiao Liang, Yu Li, Qianqian Key Laboratory of Symbolic Computation and Knowledge Engineering College of Computer Science and Technology Jilin University Qianjin Street Jilin Changchun130012 China Institutes of Science and Development Chinese Academy of Sciences ZhongGuanCun BeiYiTiao Beijing100190 China School of Public Policy and Management University of Chinese Academy of Sciences ShiJingShan YuQuanLu Beijing100049 China
Controversial analysis entails identifying and scrutinizing contentious events or issues within a specific domain. Detecting controversy, particularly on social media, poses challenges due to the need to consider nume... 详细信息
来源: 评论
Aggregation tree constructing algorithm based on energy consumption assessment
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Jisuanji Yanjiu yu Fazhan/Computer Research and Development 2008年 第1期45卷 104-109页
作者: Sun, Dayang Liu, Yanheng Wang, Aimin College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Changchun 130012 China College of Computer Science and Technology Harbin Engineering University Harbin 150001 China
This paper first gives an analysis of data aggregation and data compression based on energy consumption of sensor nodes, after which an approach is proposed to construct an aggregation tree in the case of non-perfect ... 详细信息
来源: 评论
Digital Mahjong System: Towards Precise Cognitive Assessment with IoT Technologies  1
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24th International Conference on Human-Computer Interaction, HCII 2022
作者: An, Ning Hu, Enze Guo, Yanrui Yang, Jiaoyun Au, Rhoda Ding, Huitong School of Computer Science and Information Engineering Hefei University of Technology Hefei China Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei China National Smart Eldercare International S&T Cooperation Base Hefei University of Technology Hefei China Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology Hefei China Shenzhen Corecloud Innovation Technology Co. Ltd. Shenzhen China Key Laboratory of Knowledge Engineering with Big Data of Ministry of Education Hefei University of Technology Hefei China Department of Anatomy and Neurobiology Neurology and Framingham Heart Study Boston University School of Medicine Boston United States Department of Epidemiology Boston University School of Public Health Boston United States
To the best of our knowledge, this paper is the first to apply IoT technologies to transform the popular Mahjong game into a Digital Mahjong System (DMS) for digitally performing cognitive assessments. People have sta... 详细信息
来源: 评论
A Novel Drug-Drug Interaction Prediction Model Based on Line Subgraph Generation Strategy
A Novel Drug-Drug Interaction Prediction Model Based on Line...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Tian Bai Chu Li Xinyue Peng Haotian Guan Zefan Zhang Guishen Wang College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun China College of Software Jilin University Changchun China School of Nursing Jilin University Changchun China School of Life Sciences Jilin University Changchun China College of Computer Science and Engineering Changchun University of Technology Changchun China
Drug-Drug Interaction (DDI) prediction task is helpful for better-understanding drugs. In this paper, we propose a novel drug-drug interaction prediction model based on line subgraph generation strategy, named DDI-LSG...
来源: 评论
Multi-objective Aerial Collaborative Secure Communication Optimization via Generative Diffusion Model-enabled Deep Reinforcement Learning
arXiv
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arXiv 2024年
作者: Zhang, Chuang Sun, Geng Li, Jiahui Wu, Qingqing Wang, Jiacheng Niyato, Dusit Liu, Yuanwei The College of Computer Science and Technology Jilin University Changchun130012 China The Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China The College of Computer Science and Technology Jilin University Changchun130012 China The College of Computing and Data Science Nanyang Technological University 639798 Singapore The Department of Electronic Engineering Shanghai Jiao Tong University Shanghai China The College of Computing and Data Science Nanyang Technological University 639798 Singapore The School of Electronic Engineering and Computer Science Queen Mary University of London LondonE1 4NS United Kingdom
Due to flexibility and low-cost, unmanned aerial vehicles (UAVs) are increasingly crucial for enhancing coverage and functionality of wireless networks. However, incorporating UAVs into next-generation wireless commun... 详细信息
来源: 评论
Iterated fractal based on distance ratio
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Ruan Jian Xue Bao/Journal of Software 2006年 第SUPPL.期17卷 70-77页
作者: Zhang, Xi-Zhe Lu, Tian-Yang Wang, Zheng-Xuan College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Changchun 130012 China Department of Computer Science and Technology Harbin Engineering University Harbin 150001 China
The escape time algorithm cannot render the convergence region of mapping, so there are some black regions in escape time fractal. In this paper, a novel method is presented to construct fractal image, which is named ... 详细信息
来源: 评论
SSBM: A Signed Stochastic Block Model for Multiple Structure Discovery in Large-Scale Exploratory Signed Networks
arXiv
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arXiv 2023年
作者: Li, Yang Yang, Bo Zhao, Xuehua Yang, Zhejian Chen, Hechang Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun130012 China College of Computer Science and Technology Jilin University Changchun130012 China Aviation University of Air Force Changchun130062 China School of Digital Media Shenzhen Institute of Information Technology Shenzhen518055 China School of Artificial Intelligence Jilin University Changchun130012 China
Signed network structure discovery has received extensive attention and has become a research focus in the field of network science. However, most of the existing studies are focused on the networks with a single stru... 详细信息
来源: 评论
M3oE: Multi-Domain Multi-Task Mixture-of-Experts Recommendation Framework
arXiv
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arXiv 2024年
作者: Zhang, Zijian Cai, Qingpeng Liu, Ziru Hu, Lantao Liu, Shuchang Zhao, Xiangyu Liu, Qidong Jiang, Peng Yu, Jiaao Zhang, Chunxu Zhao, Hongwei Gai, Kun Jilin University City University of Hong Kong Jilin China Kuaishou Technology Beijing China City University of Hong Kong Hong Kong Xi’an Jiaotong University City University of Hong Kong Xi’an China Jilin University Jilin China Beijing China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China
Multi-domain recommendation and multi-task recommendation have demonstrated their effectiveness in leveraging common information from different domains and objectives for comprehensive user modeling. Nonetheless, the ... 详细信息
来源: 评论