Qirong Ho

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 36

Top Topics

Machine Learning

Programming Interface

Top Venues

USENIX Annual Technical Conference

Publications

Chenxu Yang, Zheng Lin, Chong Tian, Liang Pang, Lanrui Wang, Zhengyang Tong, Qirong Ho, Yanan Cao, Weiping Wang
A Factuality and Diversity Reconciled Decoding Method for Knowledge-Grounded Dialogue Generation. CoRR (2024)
Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han
ActionIE: Action Extraction from Scientific Literature with Programming Languages. ACL (1) (2024)
Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. CoRR (2023)
Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. EMNLP (2023)
Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang
FedNAR: Federated Optimization with Normalized Annealing Regularization. NeurIPS (2023)
Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang
FedNAR: Federated Optimization with Normalized Annealing Regularization. CoRR (2023)
Yonghao Zhuang, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph Gonzalez, Ion Stoica, Hao Zhang, Hexu Zhao
On Optimizing the Communication of Model Parallelism. MLSys (2023)
Yonghao Zhuang, Hexu Zhao, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
On Optimizing the Communication of Model Parallelism. CoRR (2022)
Shaoan Xie, Qirong Ho, Kun Zhang
Unsupervised Image-to-Image Translation with Density Changing Regularization. NeurIPS (2022)
Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. OSDI (2021)
Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. CoRR (2020)
Shizhen Xu, Hao Zhang, Graham Neubig, Wei Dai, Jin Kyu Kim, Zhijie Deng, Qirong Ho, Guangwen Yang, Eric P. Xing
Cavs: An Efficient Runtime System for Dynamic Neural Networks. USENIX Annual Technical Conference (2018)
Pengtao Xie, Jin Kyu Kim, Qirong Ho, Yaoliang Yu, Eric P. Xing
Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design. SoCC (2018)
Aurick Qiao, Abutalib Aghayev, Weiren Yu, Haoyang Chen, Qirong Ho, Garth A. Gibson, Eric P. Xing
Litz: Elastic Framework for High-Performance Distributed Machine Learning. USENIX Annual Technical Conference (2018)
Hao Zhang, Shizhen Xu, Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing
Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks. CoRR (2017)
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR (2017)
Sulin Liu, Sinno Jialin Pan, Qirong Ho
Distributed Multi-Task Relationship Learning. KDD (2017)
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX Annual Technical Conference (2017)
Sulin Liu, Sinno Jialin Pan, Qirong Ho
Distributed Multi-task Relationship Learning. CoRR (2016)
Qirong Ho, Junming Yin, Eric P. Xing
Latent Space Inference of Internet-Scale Networks. J. Mach. Learn. Res. 17 (2016)
Yinyan Tan, Zhe Fan, Guilin Li, Fangshan Wang, Zhengbing Li, Shikai Liu, Qiuling Pan, Eric P. Xing, Qirong Ho
Scalable Time-Decaying Adaptive Prediction Algorithm. KDD (2016)
Lizi Liao, Qirong Ho, Jing Jiang, Ee-Peng Lim
SLR: A scalable latent role model for attribute completion and tie prediction in social networks. ICDE (2016)
Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, Gao Cong
ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data. ICDM (2016)
Tingting Chen, Fan Wu, Tony T. Luo, Mea Wang, Qirong Ho
Big Data Management and Analytics for Mobile Crowd Sensing. Mob. Inf. Syst. 2016 (2016)
Qirong Ho, Wenqing Lin, Eran Shaham, Shonali Krishnaswamy, The Anh Dang, Jingxuan Wang, Isabel Choo Zhongyan, Amy She-Nash
A Distributed Graph Algorithm for Discovering Unique Behavioral Groups from Large-Scale Telco Data. CIKM (2016)
Jin Kyu Kim, Qirong Ho, Seunghak Lee, Xun Zheng, Wei Dai, Garth A. Gibson, Eric P. Xing
STRADS: a distributed framework for scheduled model parallel machine learning. EuroSys (2016)
Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing
Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. UAI (2016)
Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines. CoRR (2015)
Zhiting Hu, Qirong Ho, Avinava Dubey, Eric P. Xing
Large-scale Distributed Dependent Nonparametric Trees. ICML (2015)
Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
Managed communication and consistency for fast data-parallel iterative analytics. SoCC (2015)
Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing
High-Performance Distributed ML at Scale through Parameter Server Consistency Models. AAAI (2015)
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
Petuum: A New Platform for Distributed Machine Learning on Big Data. IEEE Trans. Big Data 1 (2) (2015)
Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing
Distributed Machine Learning via Sufficient Factor Broadcasting. CoRR (2015)
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
Petuum: A New Platform for Distributed Machine Learning on Big Data. KDD (2015)
Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Po Xing, Tie-Yan Liu, Wei-Ying Ma
LightLDA: Big Topic Models on Modest Computer Clusters. WWW (2015)
Eric P. Xing, Qirong Ho, Pengtao Xie, Wei Dai
Strategies and Principles of Distributed Machine Learning on Big Data. CoRR (2015)
Abhimanu Kumar, Alex Beutel, Qirong Ho, Eric P. Xing
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data. AISTATS (2014)
Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, Wei-Ying Ma
LightLDA: Big Topic Models on Modest Compute Clusters. CoRR (2014)
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
Exploiting Bounded Staleness to Speed Up Big Data Analytics. USENIX Annual Technical Conference (2014)
Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing
Primitives for Dynamic Big Model Parallelism. CoRR (2014)
Xun Zheng, Jin Kyu Kim, Qirong Ho, Eric P. Xing
Model-Parallel Inference for Big Topic Models. CoRR (2014)
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
Exploiting iterative-ness for parallel ML computations. SoCC (2014)
Kumar Avinava Dubey, Qirong Ho, Sinead A. Williamson, Eric P. Xing
Dependent nonparametric trees for dynamic hierarchical clustering. NIPS (2014)
Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning. NIPS (2014)
Willie Neiswanger, Chong Wang, Qirong Ho, Eric P. Xing
Modeling Citation Networks Using Latent Random Offsets. UAI (2014)
Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing
High-Performance Distributed ML at Scale through Parameter Server Consistency Models. CoRR (2014)
Junming Yin, Qirong Ho, Eric P. Xing
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks. NIPS (2013)
Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing
Petuum: A Framework for Iterative-Convergent Distributed ML. CoRR (2013)
Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML. CoRR (2013)
Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin Kyu Kim, Phillip B. Gibbons, Garth A. Gibson, Gregory R. Ganger, Eric P. Xing
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server. NIPS (2013)
James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Gregory R. Ganger, Garth Gibson, Kimberly Keeton, Eric P. Xing
Solving the Straggler Problem with Bounded Staleness. HotOS (2013)
Seunghak Lee, Jin Kyu Kim, Qirong Ho, Garth A. Gibson, Eric P. Xing
Structure-Aware Dynamic Scheduler for Parallel Machine Learning. CoRR (2013)
Qirong Ho, Jacob Eisenstein, Eric P. Xing
Document hierarchies from text and links. WWW (2012)
Qirong Ho, Rong Yan, Rajat Raina, Eric P. Xing
Understanding the Interaction between Interests, Conversations and Friendships in Facebook CoRR (2012)
Qirong Ho, Junming Yin, Eric P. Xing
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks. NIPS (2012)
Qirong Ho, Ankur P. Parikh, Le Song, Eric P. Xing
Multiscale Community Blockmodel for Network Exploration. AISTATS (2011)
Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo
Unified analysis of streaming news. WWW (2011)
Qirong Ho, Le Song, Eric P. Xing
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks. AISTATS (2011)
Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alexander J. Smola, Eric P. Xing
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text. AISTATS (2011)
Qirong Ho, Weimiao Yu, Hwee Kuan Lee
Region Graph Spectra as Geometric Global Image Features. ISVC (1) (2009)