Wei Dai

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	Total	Desde 2019
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Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UDirección de correo verificada de cs.cmu.edu
Qirong HoMohamed bin Zayed University of Artificial Intelligence (MBZUAI) and Petuum, IncDirección de correo verificada de petuum.com
Jinliang WeiGoogle; Carnegie Mellon UniversityDirección de correo verificada de alumni.cmu.edu
Garth Alan GibsonPresident & CEO, Vector Institute; Consulting Professor of Computer Science, Carnegie MellonDirección de correo verificada de vectorinstitute.ai
Pengtao XieAssistant Professor, UC San Diego; Adjunct Faculty, MBZUAIDirección de correo verificada de eng.ucsd.edu
Abhimanu KumarCo-Founder @CausalFunnelDirección de correo verificada de cs.cmu.edu
Henggang CuiMotionalDirección de correo verificada de motional.com
Seunghak LeeResearch Scientist at FacebookDirección de correo verificada de cs.cmu.edu
Phillip GibbonsCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Samarjit DasDirector of Bosch Research PittsburghDirección de correo verificada de cs.cmu.edu
Billy li (Juncheng)Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Yaoliang YuUniversity of WaterlooDirección de correo verificada de uwaterloo.ca
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA FellowDirección de correo verificada de microsoft.com
Willie NeiswangerAssistant Professor of Computer Science, University of Southern CaliforniaDirección de correo verificada de cs.stanford.edu
Yu-Xiang WangAssociate Professor @ UC San DiegoDirección de correo verificada de ucsd.edu
Francis W. StarrWesleyan University, Foss Professor of PhysicsDirección de correo verificada de wesleyan.edu
Suvrit SraTUM and MITDirección de correo verificada de mit.edu
Chia Wei (Wade) HsuUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
francesco sciortinoProfessor of Condensed Matter Physics, Sapienza Universita' di RomaDirección de correo verificada de uniroma1.it

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Wei Dai

Apple; Carnegie Mellon University

Dirección de correo verificada de cs.cmu.edu - Página principal

Computer Vision Machine Learning Statistics Artificial Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Petuum: A new platform for distributed machine learning on big data EP Xing, Q Ho, W Dai, JK Kim, J Wei, S Lee, X Zheng, P Xie, A Kumar, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	647	2015
Very deep convolutional neural networks for raw waveforms W Dai, C Dai, S Qu, J Li, S Das 2017 IEEE international conference on acoustics, speech and signal …, 2017	498	2017
Poseidon: An efficient communication architecture for distributed deep learning on {GPU} clusters H Zhang, Z Zheng, S Xu, W Dai, Q Ho, X Liang, Z Hu, J Wei, P Xie, ... 2017 USENIX Annual Technical Conference (USENIX ATC 17), 181-193, 2017	483*	2017
Dual motion GAN for future-flow embedded video prediction X Liang, L Lee, W Dai, EP Xing proceedings of the IEEE international conference on computer vision, 1744-1752, 2017	442	2017
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays W Dai, J Doyle, X Liang, H Zhang, N Dong, Y Li, EP Xing arXiv preprint arXiv:1703.08770, 2017	273	2017
Lightlda: Big topic models on modest computer clusters J Yuan, F Gao, Q Ho, W Dai, J Wei, X Zheng, EP Xing, TY Liu, WY Ma Proceedings of the 24th International Conference on World Wide Web, 1351-1361, 2015	239	2015
Strategies and principles of distributed machine learning on big data EP Xing, Q Ho, P Xie, D Wei Engineering 2 (2), 179-195, 2016	214	2016
Exploiting bounded staleness to speed up big data analytics H Cui, J Cipar, Q Ho, JK Kim, S Lee, A Kumar, J Wei, W Dai, GR Ganger, ... 2014 USENIX Annual Technical Conference (USENIX ATC 14), 37-48, 2014	210	2014
A comparison of deep learning methods for environmental sound detection J Li, W Dai, F Metze, S Qu, S Das 2017 IEEE International conference on acoustics, speech and signal …, 2017	189	2017
High-performance distributed ML at scale through parameter server consistency models W Dai, A Kumar, J Wei, Q Ho, G Gibson, E Xing Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	166	2015
Ppdsparse: A parallel primal-dual sparse method for extreme classification IEH Yen, X Huang, W Dai, P Ravikumar, I Dhillon, E Xing Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017	161	2017
Addressing the straggler problem for iterative convergent parallel ML A Harlap, H Cui, W Dai, J Wei, GR Ganger, PB Gibbons, GA Gibson, ... Proceedings of the seventh ACM symposium on cloud computing, 98-111, 2016	161	2016
Managed communication and consistency for fast data-parallel iterative analytics J Wei, W Dai, A Qiao, Q Ho, H Cui, GR Ganger, PB Gibbons, GA Gibson, ... Proceedings of the Sixth ACM Symposium on Cloud Computing, 381-394, 2015	149	2015
Strads: A distributed framework for scheduled model parallel machine learning JK Kim, Q Ho, S Lee, X Zheng, W Dai, GA Gibson, EP Xing Proceedings of the Eleventh European Conference on Computer Systems, 1-16, 2016	114	2016
Unsupervised domain adaptation for automatic estimation of cardiothoracic ratio N Dong, M Kampffmeyer, X Liang, Z Wang, W Dai, E Xing Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	110	2018
Online multi-workflow scheduling under uncertain task execution time in IaaS clouds J Liu, J Ren, W Dai, D Zhang, P Zhou, Y Zhang, G Min, N Najjari IEEE Transactions on Cloud Computing 9 (3), 1180-1194, 2019	102	2019
Toward understanding the impact of staleness in distributed machine learning W Dai, Y Zhou, N Dong, H Zhang, EP Xing arXiv preprint arXiv:1810.03264, 2018	88	2018
Benchmarking contemporary deep learning hardware and frameworks: A survey of qualitative metrics W Dai, D Berleant 2019 IEEE First International Conference on Cognitive Machine Intelligence …, 2019	78	2019
Overcoming invasion of privacy in smart home environment with synthetic packet injection K Yoshigoe, W Dai, M Abramson, A Jacobs 2015 TRON Symposium (TRONSHOW), 1-7, 2015	65	2015
Parallel and distributed block-coordinate frank-wolfe algorithms YX Wang, V Sadhanala, W Dai, W Neiswanger, S Sra, E Xing International Conference on Machine Learning, 1548-1557, 2016	61*	2016

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