Wei Dai
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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
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
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
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
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
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
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
Strategies and principles of distributed machine learning on big data
EP Xing, Q Ho, P Xie, D Wei
Engineering 2 (2), 179-195, 2016
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
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
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
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
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
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
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
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
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
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
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
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
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