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检索条件"机构=Parallel Distributed Computing Laboratory"
311 条 记 录,以下是111-120 订阅
排序:
TMDA: Task-Specific Multi-source Domain Adaptation via Clustering Embedded Adversarial Training
TMDA: Task-Specific Multi-source Domain Adaptation via Clust...
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IEEE International Conference on Data Mining (ICDM)
作者: Haotian Wang Wenjing Yang Zhipeng Lin Yue Yu State Key Laboratory of High Performance Computing (HPCL) National University of Defense Technology China National Laboratory for Parallel and Distributed Processing National University of Defense Technology China Peng Cheng Laboratory Shenzhen China
Beyond classical domain-specific adversarial training, a recently proposed task-specific framework has achieved a great success in single source domain adaptation by utilizing task-specific decision boundaries. Howeve...
来源: 评论
VButton: Practical attestation of user-driven operations in mobile apps  18
VButton: Practical attestation of user-driven operations in ...
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16th ACM International Conference on Mobile Systems, Applications, and Services,MobiSys 2018
作者: Li, Wenhao Luo, Shiyu Sun, Zhichuang Xia, Yubin Lu, Long Chen, Haibo Zang, Binyu Guan, Haibing Institute of Parallel and Distributed Systems Shanghai Jiao Tong University China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University China Northeastern University United States
More and more malicious apps and mobile rootkits are found to perform sensitive operations on behalf of legitimate users without their awareness. Malware does so by either forging user inputs or tricking users into ma... 详细信息
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On the parallels between Paxos and Raft, and how to port optimizations (Extended Version)
arXiv
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arXiv 2019年
作者: Wang, Zhaoguo Zhao, Changgeng Mu, Shuai Chen, Haibo Li, Jinyang Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Institute of Parallel and Distributed Systems Shanghai Jiao Tong University Department of Computer Science New York University Department of Computer Science Stony Brook University
In recent years, Raft has overtaken Paxos as the consensus algorithm of choice. [53] While many have pointed out similarities between the two protocols, no one has formally mapped out their relationships. In this pape...
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Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval
Enhancing 2D Representation via Adjacent Views for 3D Shape ...
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International Conference on Computer Vision (ICCV)
作者: Cheng Xu Zhaoqun Li Qiang Qiu Biao Leng Jingfei Jiang School of Computer Science & Engineering Beihang University Duke University Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beihang University National Laboratory for Parallel and Distributed Processing National University of Defense Technology
Multi-view shape descriptors obtained from various 2D images are commonly adopted in 3D shape retrieval. One major challenge is that significant shape information are discarded during 2D view rendering through project... 详细信息
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Foundational Competencies and Responsibilities of a Research Software Engineer
arXiv
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arXiv 2023年
作者: Goth, Florian Alves, Renato Braun, Matthias Castro, Leyla Jael Chourdakis, Gerasimos Christ, Simon Cohen, Jeremy Druskat, Stephan Erxleben, Fredo Grad, Jean-Noël Hagdorn, Magnus Hodges, Toby Juckeland, Guido Kempf, Dominic Lamprecht, Anna-Lena Linxweiler, Jan Löffler, Frank Martone, Michele Schwarzmeier, Moritz Seibold, Heidi Thiele, Jan Philipp Waldow, Harald von Wittke, Samantha Institute for Theoretical Physics and Astrophysics University of Würzburg Germany European Molecular Biology Laboratory Heidelberg Germany Cluster of Excellence IntCDC University of Stuttgart Germany ZB MED Information Centre for Life Sciences Cologne Germany School of Computation Information and Technology Technical University of Munich Garching Germany Institute for Parallel and Distributed Systems University of Stuttgart Stuttgart Germany Leibniz University Hannover Department of Cell Biology and Biophysics Computational Biology Germany Imperial College London London United Kingdom Institute for Software Technology Berlin Germany Humboldt-Universität zu Berlin Department of Computer Science Berlin Germany Helmholtz-Zentrum Dresden-Rossendorf Germany Institute for Computational Physics University of Stuttgart Germany Geschäftsbereich IT Charité Universitätsmedizin Berlin Germany The Carpentries United States Heidelberg University Scientific Software Center Germany Institute of Computer Science University of Potsdam Germany Technische Universität Braunschweig Germany Michael Stifel Center Jena Friedrich Schiller University Jena Germany Leibniz Supercomputing Centre Garching Germany Mathematical Modeling and Analysis TU Darmstadt Germany IGDORE Munich Germany Weierstrass Institute Berlin Germany Leibniz University Hannover Institute of Applied Mathematics Scientific Computing Hannover Germany Johann Heinrich von Thünen Institute Centre for Information Management Germany
The term Research Software Engineer, or RSE, emerged a little over 10 years ago as a way to represent individuals working in the research community but focusing on software development. The term has been widely adopte... 详细信息
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Density-Attentive Head Detector for Crowd Counting
Density-Attentive Head Detector for Crowd Counting
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International Conference on Data Science and Business Analytics (ICDSBA)
作者: Ziyu Zhao Xingyu Shen Long Lan Xiaoyao Yin Xiang Zhang Yonggang Che Zhigang Luo College of Computer National University of Defense Technology Changsha China Institute for Quantum Information & State Key Laboratory of High Performance Computing National University of Defense Technology Changsha China Science and Technology on Parallel and Distributed Processing National University of Defense Technology Changsha China
In crowd counting, regression-based method shows better performance in extreme density scenes by introduces a density map. However, the regression-based method fails to locate the positions of each head, which signifi... 详细信息
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Recovering Performance for Vector-based Machine Learning on Managed Runtime
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ACM SIGPLAN Notices 2017年 第8期52卷 457-458页
作者: Wu, Mingyu Guan, Haibing Zang, Binyu Chen, Haibo Shanghai Key Laboratory of Scalable Computing and Systems Institute of Parallel and Distributed Systems Shanghai Jiao Tong University China
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Cloud workload prediction based on workflow execution time discrepancies
arXiv
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arXiv 2018年
作者: Kecskemeti, Gabor Nemeth, Zsolt Kertesz, Attila Ranjan, Rajiv Department of Computer Science Liverpool John Moores University Laboratory of Parallel and Distributed Systems MTA SZTAKI Software Engineering Department University of Szeged School of Computing Newcastle University
Infrastructure as a service clouds hide the complexity of maintaining the physical infrastructure with a slight disadvantage: they also hide their internal working details. Should users need knowledge about these deta... 详细信息
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Exploiting contention and congestion aware switch allocation in network-on-chips  17
Exploiting contention and congestion aware switch allocation...
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50th ACM Turing Conference - China, ACM TUR-C 2017
作者: Li, Cunlu Dongy, Dezun Liao, Xiangke National Laboratory for Parallel and Distributed Processing Collaborative Innovation Center of High Performance Computing College of Computer National University of Defense Technology Changsha Hunan410073 China
Network-on-chip system plays an important role to improve the performance of chip multiprocessor systems. As the complexity of the network increases, congestion problem has become the major performance bottleneck and ... 详细信息
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CCN hotspot cache placement strategy based on genetic algorithm  10th
CCN hotspot cache placement strategy based on genetic algori...
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10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2017
作者: Wu, Hongjia Wang, Nao Wang, Gaocai School of Computer and Electronic Information Guangxi University NanningGuangxi533004 China Guangxi Colleges and University Key Laboratory of Parallel and Distributed Computing Technology Nanning530004 China
Content-centric networks provide effective support for content services through a caching mechanism, so the caching of the placement strategy has become a hot research. In this paper, the problem of content placement ... 详细信息
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