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检索条件"机构=Department of Electrical Engineering and Computer Science Institute for Data Processing"
2341 条 记 录,以下是1871-1880 订阅
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Comments on cut-set bounds on network function computation
Comments on cut-set bounds on network function computation
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作者: Huang, Cupjin Tan, Zihan Yang, Shenghao Guang, Xuan Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States Department of Computer Science University of Chicago ChicagoIL60637 United States School of Science and Engineering Shenzhen Key Laboratory of IoT Intelligent Systems and Wireless Network Technology Chinese University of Hong Kong Shenzhen China Shenzhen Research Institute of Big Data Shenzhen518172 China School of Mathematical Sciences and LPMC Nankai University Tianjin China Institute of Network Coding Chinese University of Hong Kong Hong Kong Hong Kong
A function computation problem over a directed acyclic network has been considered in the literature, where a sink node is required to compute a target function correctly with the inputs arbitrarily generated at multi... 详细信息
来源: 评论
Comments on Yu et al’s Shared data Integrity Verification Protocol  4th
Comments on Yu et al’s Shared Data Integrity Verification P...
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4th Euro-China Conference on Intelligent data Analysis and Applications, ECC 2017
作者: Wu, Tsu-Yang Lin, Yueshan Wang, King-Hang Chen, Chien-Ming Pan, Jeng-Shyang Fujian Provincial Key Lab of Big Data Mining and Applications Fujian University of Technology Fuzhou350118 China National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology Fuzhou350118 China School of Computer Science and Technology Harbin Institute of Technology - Shenzhen Shenzhen518055 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong
Recently, Yu et al. proposed a secure shared data integrity verification protocol called SDVIP 2 to ensure the integrity of outsourced file in the cloud. Unfortunately, we exploit the vulnerability of their protocol i... 详细信息
来源: 评论
Accurate Recovery of Internet Traffic data: A Sequential Tensor Completion Approach
Accurate Recovery of Internet Traffic Data: A Sequential Ten...
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作者: Xie, Kun Wang, Lele Wang, Xin Xie, Gaogang Wen, Jigang Zhang, Guangxing Cao, Jiannong Zhang, Dafang College of Computer Science and Electronics Engineering Hunan University Changsha410006 China CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing100864 China Department of Electrical and Computer Engineering State University of New York at Stony Brook Stony BrookNY11794 United States Network Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing100864 China Department of Computing Hong Kong Polytechnic University Hong Kong Hong Kong
The inference of traffic volume of the whole network from partial traffic measurements becomes increasingly critical for various network engineering tasks, such as capacity planning and anomaly detection. Previous stu... 详细信息
来源: 评论
Deep learning with quantized neural networks for gravitational wave forecasting of eccentric compact binary coalescence
arXiv
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arXiv 2020年
作者: Wei, Wei Huerta, E.A. Yun, Mengshen Loutrel, Nicholas Shaikh, Md Arif Kumar, Prayush Haas, Roland Kindratenko, Volodymyr National Center for Supercomputing Applications University of Illinois at Urbana-Champaign UrbanaIL61801 United States NCSA Center for Artificial Intelligence Innovation University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Physics University of Illinois at Urbana-Champaign UrbanaIL61801 United States Data Science and Learning Division Argonne National Laboratory LemontIL60439 United States University of Chicago ChicagoIL60637 United States Department of Astronomy University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Physics Princeton University PrincetonNJ08544 United States Princeton Gravity Initiative Princeton University PrincetonNJ08544 United States International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bangalore560089 India Cornell Center for Astrophysics and Planetary Science Cornell University IthacaNY14853 United States Department of Computer Science University of Illinois at Urbana-Champaign UrbanaIL61801 United States
We present the first application of deep learning forecasting for binary neutron stars, neutron star-black hole systems, and binary black hole mergers that span an eccentricity range e ≤ 0.9. We train neural networks... 详细信息
来源: 评论
Self-adaptation of chimera states
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Physical Review E 2019年 第1期99卷 010201(R)-010201(R)页
作者: Nan Yao Zi-Gang Huang Hai-Peng Ren Celso Grebogi Ying-Cheng Lai Department of Applied Physics Xi'an University of Technology Xi'an 710048 China The Key Laboratory of Biomedical Information Engineering of Ministry of Education National Engineering Research Center of Health Care and Medical Devices The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs and Institute of Health and Rehabilitation Science School of Life Science and Technology Xi'an Jiaotong University Xi'an 710049 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an 710048 China Institute for Complex Systems and Mathematical Biology King's College University of Aberdeen Aberdeen AB24 3UE United Kingdom School of Electrical Computer and Energy Engineering Arizona State University Tempe Arizona 85287 USA Department of Physics Arizona State University Tempe Arizona 85287 USA
Chimera states in spatiotemporal dynamical systems have been investigated in physical, chemical, and biological systems, and have been shown to be robust against random perturbations. How do chimera states achieve the... 详细信息
来源: 评论
GazeGAN: A robust generative adversarial saliency model based on invariance analysis of human gaze during scene free viewing
arXiv
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arXiv 2019年
作者: Che, Zhaohui Borji, Ali Zhai, Guangtao Min, Xiongkuo Guo, Guodong Le Callet, Patrick Institute of Image Communication and Network Engineering Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiao Tong University Shanghai200240 China MarkableAI United States Institute of Deep Learning Baidu Research Department of Computer Science and Electrical Engineering West Virginia University MorgantownWV United States Equipe Image Perception et Interaction Laboratoire des Sciences du Numérique de Nantes Université de Nantes France
data size is the bottleneck for developing deep saliency models, because collecting eye-movement data is very time-consuming and expensive. Most of current studies on human attention and saliency modeling have used ... 详细信息
来源: 评论
UNRAVELING MRD DYNAMICS TO ENHANCE OUTCOME PREDICTION IN MANTLE CELL LYMPHOMA—INSIGHTS FROM THE FONDAZIONE ITALIANA LINFOMI MCL0208 CLINICAL TRIAL
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Hematological Oncology 2025年 第S3期43卷
作者: F. Cordero S. Ferrero S. Pernice E. Genuardi D. Volpatto R. Sirovich A. M. Civita A. Evangelista S. Ragaini A. Di Rocco A. Re V. Stefanoni F. Cavallo C. Boccomini M. Balzarotti V. R. Zilioli M. Gomes da Silva L. Arcaini P. Tosi Z. Gian Maria D. Tortarolo E. Hoster C. Pott E. Macintyre M. Dreyling M. Ladetto Computer Science University of Turin Torino Italy Department of Molecular Biotechnology and Health Sciences University of Turin Torino Italy Mathematics University of Turin Turin Italy Unit of Cancer Epidemiology AOU Citta' della Salute e della Scienza di Torino Turin Italy Medicina traslazionale e di precisione Universita' di Roma Sapienza Roma Italy Hematology Ospedali Civili Brescia Italy University of Bologna Institute of Hematology “L. e A. Seràgnoli” Bologna Italy Hematology Division 2 Città della Salute e della Scienza di Torino Turin Italy Istituto Clinico Humanitas Milano Italy Hematology ASST Grande Ospedale Metropolitano Niguarda Milano Italy Departamento de Hematologia Instituto Português de Oncologia Lisboa Portugal Department of Hematology Oncology Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo Pavia Italy UO Ematologia Ospedale Degli Infermi Rimini Italy Electrical and Information Engineering Department Polytechnic University of Bari Bari Italy Ludwig-Maximilians-Universität Munich Institute for Medical Information Processing Biometry and Epidemiology München Germany Department of Medicine Hematology and Oncology University Hospital Schleswig-Holstein Kiel Germany APHP-Centre-Université Paris Cité Paris France Department of Medicine III Ludwig-Maximilians-Universität München Munich Germany University of Eastern Piedmont Alessandria Italy
来源: 评论
TDE hosts are green and centrally concentrated: Signatures of a post-merger system
arXiv
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arXiv 2020年
作者: Hammerstein, Erica Gezari, Suvi van Velzen, Sjoert Cenko, S. Bradley Roth, Nathaniel Ward, Charlotte Frederick, Sara Hung, Tiara Graham, Matthew Foley, Ryan J. Bellm, Eric C. Cannella, Christopher Drake, Andrew J. Kupfer, Thomas Laher, Russ R. Mahabal, Ashish A. Masci, Frank J. Riddle, Reed Rojas-Bravo, César Smith, Roger Department of Astronomy University of Maryland College ParkMD20742 United States Joint Space-Science Institute University of Maryland College ParkMD20742 United States Center for Cosmology and Particle Physics New York University NY10003 United States Astrophysics Science Division NASA Goddard Space Flight Center MC 661 GreenbeltMD20771 United States Department of Astronomy and Astrophysics University of California Santa CruzCA95064 United States Division of Physics Mathematics and Astronomy California Institute of Technology PasadenaCA91125 United States DIRAC Institute Department of Astronomy University of Washington 3910 15th Avenue NE SeattleWA98195 United States Department of Electrical and Computer Engineering Duke University DurhamNC27708 United States Texas Tech University Department of Physics & Astronomy Box 41051 79409 LubbockTX United States IPAC California Institute of Technology 1200 E. California Blvd PasadenaCA91125 United States Center for Data Driven Discovery California Institute of Technology PasadenaCA91125 United States Caltech Optical Observatories California Institute of Technology PasadenaCA United States
We study the properties of the galaxies hosting the first 19 tidal disruption events (TDEs) detected with the Zwicky Transient Facility (ZTF) within the context of a carefully constructed, representative host galaxy s... 详细信息
来源: 评论
Fundamental Physics Opportunities with the Next-Generation Event Horizon Telescope
arXiv
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arXiv 2023年
作者: Ayzenberg, Dimitry Blackburn, Lindy Brito, Richard Britzen, Silke Broderick, Avery E. Carballo-Rubio, Raúl Cardoso, Vitor Chael, Andrew Chatterjee, Koushik Chen, Yifan Cunha, Pedro V.P. Davoudiasl, Hooman Denton, Peter B. Doeleman, Sheperd S. Eichhorn, Astrid Eubanks, Marshall Fang, Yun Foschi, Arianna Fromm, Christian M. Galison, Peter Ghosh, Sushant G. Gold, Roman Gurvits, Leonid I. Hadar, Shahar Held, Aaron Houston, Janice Hu, Yichao Johnson, Michael D. Kocherlakota, Prashant Natarajan, Priyamvada Olivares, Héctor Palumbo, Daniel Pesce, Dominic W. Rajendran, Surjeet Roy, Rittick Saurabh Shao, Lijing Tahura, Shammi Tamar, Aditya Tiede, Paul Vincent, Frédéric H. Visinelli, Luca Wang, Zhiren Wielgus, Maciek Xue, Xiao Yakut, Kadri Yang, Huan Younsi, Ziri Theoretical Astrophysics Eberhard-Karls Universität Tübingen TübingenD-72076 Germany Center for Astrophysics Harvard & Smithsonian 60 Garden Street CambridgeMA02138 United States Harvard University 20 Garden Street CambridgeMA02138 United States CENTRA Departamento de Física Instituto Superior Técnico – IST Universidade de Lisboa – UL Avenida Rovisco Pais 1 Lisboa1049-001 Portugal Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany Perimeter Institute for Theoretical Physics 31 Caroline Street North WaterlooONN2L 2Y5 Canada Department of Physics and Astronomy University of Waterloo 200 University Avenue West WaterlooONN2L 3G1 Canada Waterloo Centre for Astrophysics University of Waterloo WaterlooONN2L 3G1 Canada CP3-Origins University of Southern Denmark Campusvej 55 Odense MDK-5230 Denmark Florida Space Institute University of Central Florida 12354 Research Parkway Partnership 1 OrlandoFL32826 United States Niels Bohr International Academy Niels Bohr Institute Blegdamsvej 17 Copenhagen2100 Denmark Princeton Gravity Initiative Jadwin Hall Princeton University PrincetonNJ08544 United States Department of Physics University of Maryland College ParkMD20742 United States Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD20742 United States Harvard-Smithsonian Center for Astrophysics 60 Garden Street CambridgeMA02138 United States Campus de Santiago Aveiro3810-183 Portugal High Energy Theory Group Physics Department Brookhaven National Laboratory UptonNY11973 United States Asteroid Initiatives LLC United States Perimeter Institute for Theoretical Physics WaterlooONN2L2Y5 Canada Kavli Institute for Astronomy and Astrophysics Peking University Beijing100871 China Institut für Theoretische Physik und Astrophysik Universität Würzburg Emil-Fischer-Strasse 31 Würzburg97074 Germany Institut für Theoretische Physik Goethe Universität Frankfurt Max-von
The Event Horizon Telescope (EHT) Collaboration recently published the first images of the supermassive black holes in the cores of the Messier 87 and Milky Way galaxies. These observations have provided a new means t... 详细信息
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A joint learning and communications framework for federated learning over wireless networks
arXiv
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arXiv 2019年
作者: Chen, Mingzhe Yang, Zhaohui Saad, Walid Yin, Changchuan Vincent Poor, H. Cui, Shuguang Chinese University of Hong Kong Shenzhen518172 China Department of Electrical Engineering Princeton University PrincetonNJ08544 United States Centre for Telecommunications Research Department of Informatics King's College London WC2B 4BG United Kingdom Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24060 United States Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical Engineering Princeton University PrincetonNJ08544 United States Shenzhen Research Institute of Big Data School of Science and Engineering Chinese University of Hong Kong Shenzhen518172 China
In this paper, the problem of training federated learning (FL) algorithms over a realistic wireless network is studied. In particular, in the considered model, wireless users execute an FL algorithm while training the... 详细信息
来源: 评论