Petuum: A Framework for Iterative-Convergent Distributed ML. - Wei Dai 003; Jinliang Wei; Xun Zheng; Jin Kyu Kim; Seunghak Lee; Junming Yin; Qirong Ho; Eric P. Xing (CoRR, 2013)

Consistent Bounded-Asynchronous Parameter Servers for Distributed ML. - Jinliang Wei; Wei Dai 003; Abhimanu Kumar; Xun Zheng; Qirong Ho; Eric P. Xing (CoRR, 2013)

Exploiting iterative-ness for parallel ML computations. - Henggang Cui; Alexey Tumanov; Jinliang Wei; Lianghong Xu; Wei Dai 003; Jesse Haber-Kucharsky; Qirong Ho; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (SoCC, 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 003; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (USENIX ATC, 2014)

LightLDA: Big Topic Models on Modest Compute Clusters. - Jinhui Yuan; Fei Gao 018; Qirong Ho; Wei Dai 003; Jinliang Wei; Xun Zheng; Eric P. Xing; Tie-Yan Liu; Wei-Ying Ma (CoRR, 2014)

High-Performance Distributed ML at Scale through Parameter Server Consistency Models. - Wei Dai 003; Abhimanu Kumar; Jinliang Wei; Qirong Ho; Garth A. Gibson; Eric P. Xing (AAAI, 2015)

Managed communication and consistency for fast data-parallel iterative analytics. - Jinliang Wei; Wei Dai 003; Aurick Qiao; Qirong Ho; Henggang Cui; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (SoCC, 2015)

LightLDA: Big Topic Models on Modest Computer Clusters. - Jinhui Yuan; Fei Gao 018; Qirong Ho; Wei Dai 003; Jinliang Wei; Xun Zheng; Eric Poe Xing; Tie-Yan Liu; Wei-Ying Ma (WWW, 2015)

Strategies and Principles of Distributed Machine Learning on Big Data. - Eric P. Xing; Qirong Ho; Pengtao Xie; Wei Dai 003 (CoRR, 2015)

Petuum: A New Platform for Distributed Machine Learning on Big Data. - Eric P. Xing; Qirong Ho; Wei Dai 003; Jin Kyu Kim; Jinliang Wei; Seunghak Lee; Xun Zheng; Pengtao Xie; Abhimanu Kumar; Yaoliang Yu (IEEE Trans. Big Data, 2015)

On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System. - Yi Zhou 017; Yaoliang Yu; Wei Dai 003; Yingbin Liang; Eric P. Xing (AISTATS, 2016)

Addressing the straggler problem for iterative convergent parallel ML. - Aaron Harlap; Henggang Cui; Wei Dai 003; Jinliang Wei; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (SoCC, 2016)

STRADS: a distributed framework for scheduled model parallel machine learning. - Jin Kyu Kim; Qirong Ho; Seunghak Lee; Xun Zheng; Wei Dai 003; Garth A. Gibson; Eric P. Xing (EuroSys, 2016)

Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms. - Yu-Xiang Wang 003; Veeranjaneyulu Sadhanala; Wei Dai 003; Willie Neiswanger; Suvrit Sra; Eric P. Xing (ICML, 2016)

Dual Motion GAN for Future-Flow Embedded Video Prediction. - Xiaodan Liang; Lisa Lee; Wei Dai 003; Eric P. Xing (ICCV, 2017)

PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification. - Ian En-Hsu Yen; Xiangru Huang; Wei Dai 003; Pradeep Ravikumar; Inderjit S. Dhillon; Eric P. Xing (KDD, 2017)

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. - Hao Zhang 025; Zeyu Zheng; Shizhen Xu; Wei Dai 003; Qirong Ho; Xiaodan Liang; Zhiting Hu; Jinliang Wei; Pengtao Xie; Eric P. Xing (USENIX ATC, 2017)

SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation. - Wei Dai 003; Joseph Doyle; Xiaodan Liang; Hao Zhang 025; Nanqing Dong; Yuan Li 032; Eric P. Xing (CoRR, 2017)

Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks. - Hao Zhang 025; Shizhen Xu; Graham Neubig; Wei Dai 003; Qirong Ho; Guangwen Yang; Eric P. Xing (CoRR, 2017)

Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling. - Zeya Wang; Nanqing Dong; Wei Dai 003; Sean D. Rosario; Eric P. Xing (ICIAR, 2018)

SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays. - Wei Dai 003; Nanqing Dong; Zeya Wang; Xiaodan Liang; Hao Zhang 025; Eric P. Xing (DLMIA/ML-CDS@MICCAI, 2018)

Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. - Nanqing Dong; Michael Kampffmeyer; Xiaodan Liang; Zeya Wang; Wei Dai 003; Eric P. Xing (MICCAI (2), 2018)

Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images. - Nanqing Dong; Michael Kampffmeyer; Xiaodan Liang; Zeya Wang; Wei Dai 003; Eric P. Xing (DLMIA/ML-CDS@MICCAI, 2018)

Cavs: An Efficient Runtime System for Dynamic Neural Networks. - Shizhen Xu; Hao Zhang 025; Graham Neubig; Wei Dai 003; Jin Kyu Kim; Zhijie Deng; Qirong Ho; Guangwen Yang; Eric P. Xing (USENIX ATC, 2018)

Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters. - Yi Zhou 017; Yingbin Liang; Yaoliang Yu; Wei Dai 003; Eric P. Xing (J. Mach. Learn. Res., 2018)

Learning with Staleness. - Wei Dai 003 (2018)

Toward Understanding the Impact of Staleness in Distributed Machine Learning. - Wei Dai 003; Yi Zhou 017; Nanqing Dong; Hao Zhang 025; Eric P. Xing (ICLR (Poster), 2019)

Neural Architecture Search for Adversarial Medical Image Segmentation. - Nanqing Dong; Min Xu 009; Xiaodan Liang; Yiliang Jiang; Wei Dai 003; Eric P. Xing (MICCAI (6), 2019)