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检索条件"机构=Key Lab of Data Engineering and Knowledge Engineering of MOE"
359 条 记 录,以下是331-340 订阅
排序:
Applications of Game Theory in Vehicular Networks: A Survey
arXiv
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arXiv 2021年
作者: Sun, Zemin Liu, Yanheng Wang, Jian Li, Guofa Anil, Carie Li, Keqiang Guo, Xinyu Sun, Geng Tian, Daxin Cao, Dongpu 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 Institute of Human Factors and Ergonomics College of Mechatronics and Control Engineering Shenzhen University Guangdong Shenzhen518060 China School of Computer Science and Engineering VIT-AP Andhra Pradesh Amaravati522237 India College of Engineering Nanjing Agricultural University Nanjing210031 China State Key Laboratory of Automotive Safety and Energy Department of Automotive Engineering Tsinghua University Beijing100084 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University Beijing100191 China Waterloo Cognitive Autonomous Driving Lab University of Waterloo N2L 3G1 Canada
In the Internet of things (IoT) era, vehicles and other intelligent components in an intelligent transportation system (ITS) are connected, forming vehicular networks (VNs) that provide efficient and safe traffic and ... 详细信息
来源: 评论
基于Web Services的信息系统的实施研究
基于Web Services的信息系统的实施研究
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第15届海峡两岸信息管理发展与策略学术研讨会(2009)
作者: Zuo Meiyun 左美云 Wang Shijuan 王世娟 In formation School and Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin Univ 中国人民大学信息学院 数据工程与知识工程教育部重点实验室北京
基于Web Services的信息系统将会是今后信息系统建设的一种重要模式。论文在对23个实施基于WebServices的信息系统的二手资料分析的基础上,归纳了基于Web Services的信息系统的类型、实施策略和实施过程。
来源: 评论
Intersection-free Robot Manipulation with Soft-Rigid Coupled Incremental Potential Contact
arXiv
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arXiv 2023年
作者: Du, Wenxin Yao, Siqiong Wang, Xinlei Xu, Yuhang Xu, Wenqiang Lu, Cewu The School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China SJTU-Yale Joint Center of Biostatistics and Data Science National Center for Translational Medicine Shanghai Jiao Tong University China Qing Yuan Research Institute MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai China ZenusTech Inc Philippines
This paper presents a novel simulation platform, ZeMa, designed for robotic manipulation tasks concerning soft objects. Such simulation ideally requires three properties: two-way soft-rigid coupling, intersection-free... 详细信息
来源: 评论
Structure-aware random fourier kernel for graphs  21
Structure-aware random fourier kernel for graphs
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Proceedings of the 35th International Conference on Neural Information Processing Systems
作者: Jinyuan Fang Qiang Zhang Zaiqiao Meng Shangsong Liang School of Computer Science and Engineering Sun Yat-sen University China and Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China Hangzhou Innovation Center Zhejiang University China and College of Computer Science and Technology Zhejiang University China and AZFT Knowledge Engine Lab China School of Computing Science University of Glasgow United Kingdom and Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates School of Computer Science and Engineering Sun Yat-sen University China and Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China and Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates
Gaussian Processes (GPs) define distributions over functions and their generalization capabilities depend heavily on the choice of kernels. In this paper, we propose a novel structure-aware random Fourier (SRF) kernel...
来源: 评论
SOLVING CONTINUAL OFFLINE RL THROUGH SELECTIVE WEIGHTS ACTIVATION ON ALIGNED SPACES
arXiv
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arXiv 2024年
作者: Hu, Jifeng Huang, Sili Shen, Li Yang, Zhejian Hu, Shengchao Tang, Shisong Chen, Hechang Chang, Yi Tao, Dacheng Sun, Lichao School of Artificial Intelligence Jilin University China School of Cyber Science and Technology Shenzhen Campus of Sun Yat-sen University China MoE Key Lab of Artificial Intelligence Shanghai Jiao Tong University China Shenzhen International Graduate School Tsinghua University China College of Computing and Data Science Nanyang Technological University Singapore Computer Science and Engineering Lehigh University United States
Continual offline reinforcement learning (CORL) has shown impressive ability in diffusion-based lifelong learning systems by modeling the joint distributions of trajectories. However, most research only focuses on lim... 详细信息
来源: 评论
Triplet Deep Subspace Clustering via Self-Supervised data Augmentation
Triplet Deep Subspace Clustering via Self-Supervised Data Au...
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IEEE International Conference on data Mining (ICDM)
作者: Zhao Zhang Xianzhen Li Haijun Zhang Yi Yang Shuicheng Yan Meng Wang School of Computer Science and Information Engineering Hefei University of Technology Hefei China Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education) & Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology Hefei China School of Computer Science and Technology Soochow University Suzhou China Harbin Institute of Technology (Shenzhen) Shenzhen China Centre for Artificial Intelligence University of Technology Sydney Sydney NSW Australia Sea AI Lab (SAIL) & National University of Singapore Singapore
Deep subspace clustering (DSC) with the auto-encoder and self-expression layer is of great concern due to encouraging performance. However, existing methods usually adopt a “single-task” strategy based on a single d... 详细信息
来源: 评论
Disentangled Noisy Correspondence Learning
arXiv
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arXiv 2024年
作者: Dang, Zhuohang Luo, Minnan Wang, Jihong Jia, Chengyou Han, Haochen Wan, Herun Dai, Guang Chang, Xiaojun Wang, Jingdong The School of Computer Science and Technology The Ministry of Education Key Laboratory of Intelligent Networks and Network Security The Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi'an Jiaotong University Shaanxi Xi'An710049 China SGIT AI Lab State Grid Shaanxi Electric Power Company Limited State Grid Corporation of China Shaanxi China The School of Information Science and Technology University of Science and Technology China United Arab Emirates The Baidu Inc China
Cross-modal retrieval is crucial in understanding latent correspondences across modalities. However, existing methods implicitly assume well-matched training data, which is impractical as real-world data inevitably in... 详细信息
来源: 评论
Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
arXiv
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arXiv 2024年
作者: Meng, Benyuan Xu, Qianqian Wang, Zitai Cao, Xiaochun Huang, Qingming Institute of Information Engineering CAS China School of Cyber Security University of Chinese Academy of Sciences China Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS China Peng Cheng Laboratory China School of Cyber Science and Tech. Shenzhen Campus of Sun Yat-sen University China School of Computer Science and Tech. University of Chinese Academy of Sciences China Key Laboratory of Big Data Mining and Knowledge Management CAS China
Diffusion models are initially designed for image generation. Recent research shows that the internal signals within their backbones, named activations, can also serve as dense features for various discriminative task... 详细信息
来源: 评论
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
arXiv
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arXiv 2024年
作者: Meng, Benyuan Xu, Qianqian Wang, Zitai Yang, Zhiyong Cao, Xiaochun Huang, Qingming Institute of Information Engineering CAS China School of Cyber Security University of Chinese Academy of Sciences China Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS China Peng Cheng Laboratory China School of Computer Science and Tech. University of Chinese Academy of Sciences China Key Laboratory of Big Data Mining and Knowledge Management CAS China School of Cyber Science and Tech. Sun Yat-sen University Shenzhen Campus China
Diffusion models are powerful generative models, and this capability can also be applied to discrimination. The inner activations of a pre-trained diffusion model can serve as features for discriminative tasks, namely...
来源: 评论
Learning with Group Noise
arXiv
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arXiv 2021年
作者: Wang, Qizhou Yao, Jiangchao Gong, Chen Liu, Tongliang Gong, Mingming Yang, Hongxia Han, Bo Department of Computer Science Hong Kong Baptist University Hong Kong Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of MoE School of Computer Science and Engineering Nanjing University of Science and Technology China Data Analytics and Intelligence Lab Alibaba Group China Department of Computing Hong Kong Polytechnic University Hong Kong Trustworthy Machine Learning Lab School of Computer Science University of Sydney Australia School of Mathematics and Statistics University of Melbourne Australia
Machine learning in the context of noise is a challenging but practical setting to plenty of real-world applications. Most of the previous approaches in this area focus on the pairwise relation (casual or correlationa... 详细信息
来源: 评论