Qirong Ho
Qirong Ho
Petuum, Inc
Verified email at petuum.com - Homepage
TitleCited byYear
More effective distributed ml via a stale synchronous parallel parameter server
Q Ho, J Cipar, H Cui, S Lee, JK Kim, PB Gibbons, GA Gibson, G Ganger, ...
Advances in neural information processing systems, 1223-1231, 2013
3352013
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, ...
IEEE Transactions on Big Data 1 (2), 49-67, 2015
2422015
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
1312015
Unified analysis of streaming news
A Ahmed, Q Ho, J Eisenstein, E Xing, AJ Smola, CH Teo
Proceedings of the 20th international conference on World wide web, 267-276, 2011
912011
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
872014
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
732015
High-performance distributed ML at scale through parameter server consistency models
W Dai, A Kumar, J Wei, Q Ho, G Gibson, EP Xing
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
652015
Solving the straggler problem with bounded staleness
J Cipar, Q Ho, JK Kim, S Lee, GR Ganger, G Gibson, K Keeton, E Xing
Presented as part of the 14th Workshop on Hot Topics in Operating Systems, 2013
652013
Evolving cluster mixed-membership blockmodel for time-evolving networks
Q Ho, L Song, E Xing
Proceedings of the Fourteenth International Conference on Artificial …, 2011
642011
Online inference for the infinite topic-cluster model: Storylines from streaming text
A Ahmed, Q Ho, CH Teo, J Eisenstein, A Smola, E Xing
Proceedings of the Fourteenth International Conference on Artificial …, 2011
622011
On model parallelization and scheduling strategies for distributed machine learning
S Lee, JK Kim, X Zheng, Q Ho, GA Gibson, EP Xing
Advances in neural information processing systems, 2834-2842, 2014
612014
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
542017
Strategies and principles of distributed machine learning on big data
EP Xing, Q Ho, P Xie, D Wei
Engineering 2 (2), 179-195, 2016
482016
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, 5, 2016
422016
Poseidon: A system architecture for efficient gpu-based deep learning on multiple machines
H Zhang, Z Hu, J Wei, P Xie, G Kim, Q Ho, E Xing
arXiv preprint arXiv:1512.06216, 2015
402015
Document hierarchies from text and links
Q Ho, J Eisenstein, EP Xing
Proceedings of the 21st international conference on World Wide Web, 739-748, 2012
362012
Multiscale community blockmodel for network exploration
Q Ho, A Parikh, L Song, E Xing
Proceedings of the Fourteenth International Conference on Artificial …, 2011
332011
Petuum: A framework for iterative-convergent distributed ml
W Dai, J Wei, JK Kim, S Lee, J Yin, Q Ho, E P Xing
figshare, 2013
302013
Exploiting iterative-ness for parallel ML computations
H Cui, A Tumanov, J Wei, L Xu, W Dai, J Haber-Kucharsky, Q Ho, ...
Proceedings of the ACM Symposium on Cloud Computing, 1-14, 2014
282014
A scalable approach to probabilistic latent space inference of large-scale networks
J Yin, Q Ho, EP Xing
Advances in neural information processing systems, 422-430, 2013
242013
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