Qirong Ho

According to our database, Qirong Ho authored at least 52 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

FedNAR: Federated Optimization with Normalized Annealing Regularization.

Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation.

Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

On Optimizing the Communication of Model Parallelism.

Yonghao Zhuang, Hexu Zhao, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph E. Gonzalez, Ion Stoica, Hao Zhang

CoRR, 2022

Unsupervised Image-to-Image Translation with Density Changing Regularization.

Shaoan Xie, Qirong Ho, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning.

Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing

Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

2020

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning.

Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing

CoRR, 2020

2018

Cavs: An Efficient Runtime System for Dynamic Neural Networks.

Shizhen Xu, Hao Zhang, Graham Neubig, Wei Dai, Jin Kyu Kim, Zhijie Deng, Qirong Ho, Guangwen Yang, Eric P. Xing

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Litz: Elastic Framework for High-Performance Distributed Machine Learning.

Aurick Qiao, Abutalib Aghayev, Weiren Yu, Haoyang Chen, Qirong Ho, Garth A. Gibson, Eric P. Xing

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design.

Pengtao Xie, Jin Kyu Kim, Qirong Ho, Yaoliang Yu, Eric P. Xing

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

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

Hao Zhang, Shizhen Xu, Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing

CoRR, 2017

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

Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Distributed Multi-Task Relationship Learning.

Sulin Liu, Sinno Jialin Pan, Qirong Ho

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.

Tingting Chen, Fan Wu, Tony T. Luo, Mea Wang, Qirong Ho

Mob. Inf. Syst., 2016

Latent Space Inference of Internet-Scale Networks.

Qirong Ho, Junming Yin, Eric P. Xing

J. Mach. Learn. Res., 2016

Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.

Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Scalable Time-Decaying Adaptive Prediction Algorithm.

Yinyan Tan, Zhe Fan, Guilin Li, Fangshan Wang, Zhengbing Li, Shikai Liu, Qiuling Pan, Eric P. Xing, Qirong Ho

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.

Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, Gao Cong

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.

Lizi Liao, Qirong Ho, Jing Jiang, Ee-Peng Lim

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

STRADS: a distributed framework for scheduled model parallel machine learning.

Jin Kyu Kim, Qirong Ho, Seunghak Lee, Xun Zheng, Wei Dai, Garth A. Gibson, Eric P. Xing

Proceedings of the Eleventh European Conference on Computer Systems, 2016

A Distributed Graph Algorithm for Discovering Unique Behavioral Groups from Large-Scale Telco Data.

Qirong Ho, Wenqing Lin, Eran Shaham, Shonali Krishnaswamy, The Anh Dang, Jingxuan Wang, Isabel Choo Zhongyan, Amy She-Nash

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.

Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu

IEEE Trans. Big Data, 2015

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

Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing

CoRR, 2015

Strategies and Principles of Distributed Machine Learning on Big Data.

Eric P. Xing, Qirong Ho, Pengtao Xie, Wei Dai

CoRR, 2015

Distributed Machine Learning via Sufficient Factor Broadcasting.

Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing

CoRR, 2015

LightLDA: Big Topic Models on Modest Computer Clusters.

Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Poe Xing, Tie-Yan Liu, Wei-Ying Ma

Proceedings of the 24th International Conference on World Wide Web, 2015

Large-scale Distributed Dependent Nonparametric Trees.

Zhiting Hu, Qirong Ho, Avinava Dubey, Eric P. Xing

Proceedings of the 32nd International Conference on Machine Learning, 2015

Managed communication and consistency for fast data-parallel iterative analytics.

Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

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

Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Analyzing Time-Evolving Networks.

Qirong Ho, Eric P. Xing

Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Model-Parallel Inference for Big Topic Models.

Xun Zheng, Jin Kyu Kim, Qirong Ho, Eric P. Xing

CoRR, 2014

LightLDA: Big Topic Models on Modest Compute Clusters.

Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, Wei-Ying Ma

CoRR, 2014

Primitives for Dynamic Big Model Parallelism.

Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing

CoRR, 2014

Exploiting Bounded Staleness to Speed Up Big Data Analytics.

Henggang Cui, James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Abhimanu Kumar, Jinliang Wei, Wei Dai, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing

Proceedings of the 2014 USENIX Annual Technical Conference, 2014

Modeling Citation Networks Using Latent Random Offsets.

Willie Neiswanger, Chong Wang, Qirong Ho, Eric P. Xing

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

On Model Parallelization and Scheduling Strategies for Distributed Machine Learning.

Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing

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.

Kumar Avinava Dubey, Qirong Ho, Sinead A. Williamson, Eric P. Xing

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.

Henggang Cui, Alexey Tumanov, Jinliang Wei, Lianghong Xu, Wei Dai, Jesse Haber-Kucharsky, Qirong Ho, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing

Proceedings of the ACM Symposium on Cloud Computing, 2014

Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data.

Abhimanu Kumar, Alex Beutel, Qirong Ho, Eric P. Xing

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Consistent Bounded-Asynchronous Parameter Servers for Distributed ML.

Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing

CoRR, 2013

Structure-Aware Dynamic Scheduler for Parallel Machine Learning.

Seunghak Lee, Jin Kyu Kim, Qirong Ho, Garth A. Gibson, Eric P. Xing

CoRR, 2013

Petuum: A Framework for Iterative-Convergent Distributed ML.

Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing

CoRR, 2013

A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks.

Junming Yin, Qirong Ho, Eric P. Xing

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.

Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin Kyu Kim, Phillip B. Gibbons, Garth A. Gibson, Gregory R. Ganger, Eric P. Xing

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.

James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Gregory R. Ganger, Garth Gibson, Kimberly Keeton, Eric P. Xing

Proceedings of the 14th Workshop on Hot Topics in Operating Systems, 2013

2012

Understanding the Interaction between Interests, Conversations and Friendships in Facebook

Qirong Ho, Rong Yan, Rajat Raina, Eric P. Xing

CoRR, 2012

Document hierarchies from text and links.

Qirong Ho, Jacob Eisenstein, Eric P. Xing

Proceedings of the 21st World Wide Web Conference 2012, 2012

On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks.

Qirong Ho, Junming Yin, Eric P. Xing

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.

Qirong Ho, Le Song, Eric P. Xing

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Multiscale Community Blockmodel for Network Exploration.

Qirong Ho, Ankur P. Parikh, Le Song, Eric P. Xing

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text.

Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alexander J. Smola, Eric P. Xing

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Unified analysis of streaming news.

Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo

Proceedings of the 20th International Conference on World Wide Web, 2011

2009

Region Graph Spectra as Geometric Global Image Features.

Qirong Ho, Weimiao Yu, Hwee Kuan Lee

Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009