Qirong Ho

According to our database1, Qirong Ho authored at least 50 papers between 2009 and 2018.

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Bibliography

2018
Cavs: An Efficient Runtime System for Dynamic Neural Networks.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Litz: Elastic Framework for High-Performance Distributed Machine Learning.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design.
Proceedings of the ACM Symposium on Cloud Computing, 2018

2017
Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks.
CoRR, 2017

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
CoRR, 2017

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Distributed Multi-Task Relationship Learning.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Big Data Management and Analytics for Mobile Crowd Sensing.
Mobile Information Systems, 2016

Latent Space Inference of Internet-Scale Networks.
J. Mach. Learn. Res., 2016

Distributed Multi-task Relationship Learning.
CoRR, 2016

Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Scalable Time-Decaying Adaptive Prediction Algorithm.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

SLR: A scalable latent role model for attribute completion and tie prediction in social networks.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

STRADS: a distributed framework for scheduled model parallel machine learning.
Proceedings of the Eleventh European Conference on Computer Systems, 2016

A Distributed Graph Algorithm for Discovering Unique Behavioral Groups from Large-Scale Telco Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Petuum: A New Platform for Distributed Machine Learning on Big Data.
IEEE Trans. Big Data, 2015

Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines.
CoRR, 2015

Strategies and Principles of Distributed Machine Learning on Big Data.
CoRR, 2015

Distributed Machine Learning via Sufficient Factor Broadcasting.
CoRR, 2015

LightLDA: Big Topic Models on Modest Computer Clusters.
Proceedings of the 24th International Conference on World Wide Web, 2015

Petuum: A New Platform for Distributed Machine Learning on Big Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Large-scale Distributed Dependent Nonparametric Trees.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Managed communication and consistency for fast data-parallel iterative analytics.
Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

High-Performance Distributed ML at Scale through Parameter Server Consistency Models.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Analyzing Time-Evolving Networks.
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Model-Parallel Inference for Big Topic Models.
CoRR, 2014

LightLDA: Big Topic Models on Modest Compute Clusters.
CoRR, 2014

Primitives for Dynamic Big Model Parallelism.
CoRR, 2014

High-Performance Distributed ML at Scale through Parameter Server Consistency Models.
CoRR, 2014

Exploiting Bounded Staleness to Speed Up Big Data Analytics.
Proceedings of the 2014 USENIX Annual Technical Conference, 2014

Modeling Citation Networks Using Latent Random Offsets.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

On Model Parallelization and Scheduling Strategies for Distributed Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Dependent nonparametric trees for dynamic hierarchical clustering.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Exploiting iterative-ness for parallel ML computations.
Proceedings of the ACM Symposium on Cloud Computing, 2014

Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML.
CoRR, 2013

Structure-Aware Dynamic Scheduler for Parallel Machine Learning.
CoRR, 2013

Petuum: A Framework for Iterative-Convergent Distributed ML.
CoRR, 2013

A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Solving the Straggler Problem with Bounded Staleness.
Proceedings of the 14th Workshop on Hot Topics in Operating Systems, 2013

2012
Understanding the Interaction between Interests, Conversations and Friendships in Facebook
CoRR, 2012

Document hierarchies from text and links.
Proceedings of the 21st World Wide Web Conference 2012, 2012

On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Multiscale Community Blockmodel for Network Exploration.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Unified analysis of streaming news.
Proceedings of the 20th International Conference on World Wide Web, 2011

2009
Region Graph Spectra as Geometric Global Image Features.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009


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