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检索条件"机构=MOE Key Laboratory of Symbolic Computation and Knowledge Engineering"
870 条 记 录,以下是301-310 订阅
排序:
Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
arXiv
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arXiv 2024年
作者: Xiao, Yubin Wang, Di Wu, Xuan Wu, Yuesong Li, Boyang Du, Wei Wang, Liupu Zhou, You Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University Changchun130012 China Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly Nanyang Technological University 639956 Singapore WeBank-NTU Joint Research Institute on Fintech Nanyang Technological University 639956 Singapore College of Computing and Data Science Nanyang Technological University 639956 Singapore
Neural models produce promising results when solving Vehicle Routing Problems (VRPs), but may often fall short in generalization. Recent attempts to enhance model generalization often incur unnecessarily large trainin... 详细信息
来源: 评论
A Task Processing Efficiency Improvement Scheme Based on Cloud-Edge Architecture in Dense Computing Environments
SSRN
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SSRN 2022年
作者: Feng, Jiahui Qi, Jingze Liu, Yuanning Liu, Zhen College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China Graduate School of Engineering Nagasaki Institute of Applied Science 536 Aba-machi Nagasaki851-0193 Japan
As cloud-edge architecture combines low latency and high-performance computing, it has a wider range of application scenarios. Considering that, how to reasonably allocate tasks to the edge cloud or the central cloud ... 详细信息
来源: 评论
JC5A: Service Delay Minimization for Aerial MEC-assisted Industrial Cyber-Physical Systems
arXiv
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arXiv 2024年
作者: Sun, Geng Wu, Jiaxu Sun, Zemin He, Long Wang, Jiacheng Niyato, Dusit Jamalipour, Abbas Mao, Shiwen College of Computer Science and Technology Jilin University Changchun130012 China 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 Singapore639798 Singapore School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore School of Electrical and Computer Engineering The University of Sydney SydneyNSW2006 Australia Department of Electrical and Computer Engineering Auburn University Auburn United States
In the era of the sixth generation (6G) and industrial Internet of Things (IIoT), an industrial cyber-physical system (ICPS) drives the proliferation of sensor devices and computing-intensive tasks. To address the lim... 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
Practical two-party privacy-preserving neural network based on secret sharing
arXiv
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arXiv 2021年
作者: Ge, Zhengqiang Zhou, Zhipeng Guo, Dong Li, Qiang College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation Knowledge Engineering of Ministry of Education Jilin University Changchun China
Neural networks, with the capability to provide efficient predictive models, have been widely used in medical, financial, and other fields, bringing great convenience to our lives. However, the high accuracy of the mo... 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
GPFedRec: Graph-Guided Personalization for Federated Recommendation
arXiv
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arXiv 2023年
作者: Zhang, Chunxu Long, Guodong Zhou, Tianyi Zhang, Zijian Yan, Peng Yang, Bo College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Australian Artificial Intelligence Institute FEIT University of Technology Sydney Sydney Australia UMIACS University of Maryland Maryland United States College of Computer Science and Technology Jilin University City University of Hong Kong China
The federated recommendation system is an emerging AI service architecture that provides recommendation services in a privacy-preserving manner. Using user-relation graphs to enhance federated recommendations is a pro... 详细信息
来源: 评论
Recovering accurate labeling information from partially valid data for effective multi-label learning  29
Recovering accurate labeling information from partially vali...
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29th International Joint Conference on Artificial Intelligence, IJCAI 2020
作者: Li, Ximing Wang, Yang College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation Knowledge Engineering of Ministry of Education Jilin University China Key Laboratory of Knowledge Engineering With Big Data Ministry of Education Hefei University of Technology China School of Computer Sci and Information Engineering Hefei University of Technology China
Partial Multi-label Learning (PML) aims to induce the multi-label predictor from datasets with noisy supervision, where each training instance is associated with several candidate labels but only partially valid. To a... 详细信息
来源: 评论
Improved fluid search optimization-based real-time weed mapping
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Information Processing in Agriculture 2020年 第3期7卷 403-417页
作者: Chengcheng Chen Shengsheng Wang Xianchang Wang Helong Yu Ruyi Dong College of Computer Science and Technology Jilin UniversityChangchun 130012China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun 130012China College of Information Technology Jilin Agricultural UniversityChangchun 130118China Chengdu Kestrel Artificial Intelligence Institute Chengdu 611730China
In the field of agriculture,variable-rate herbicide spraying(VRHS)technology has been used to solve the low efficiency of pesticides and crop chemical *** key of VRHS is the quick and precise identification of weeds f... 详细信息
来源: 评论
Evolutionary generative adversarial networks with crossover based knowledge distillation
arXiv
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arXiv 2021年
作者: Li, Junjie Zhang, Junwei Gong, Xiaoyu Lü, Shuai Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education Changchun130012 China College of Computer Science and Technology Jilin University Changchun130012 China
Generative Adversarial Networks (GAN) is an adversarial model, and it has been demonstrated to be effective for various generative tasks. However, GAN and its variants also suffer from many training problems, such as ... 详细信息
来源: 评论