Wei Dai

Publication Activity (10 Years)

Years Active: 2013-2019
Publications (10 Years): 22

Top Topics

Machine Learning

Top Venues

USENIX Annual Technical Conference

DLMIA/ML-CDS@MICCAI

Publications

Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing
Toward Understanding the Impact of Staleness in Distributed Machine Learning. ICLR (Poster) (2019)
Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric P. Xing
Neural Architecture Search for Adversarial Medical Image Segmentation. MICCAI (6) (2019)
Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing
Toward Understanding the Impact of Staleness in Distributed Machine Learning. CoRR (2018)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. MICCAI (2) (2018)
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)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images. CoRR (2018)
Wei Dai, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays. DLMIA/ML-CDS@MICCAI (2018)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images. DLMIA/ML-CDS@MICCAI (2018)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. CoRR (2018)
Zeya Wang, Nanqing Dong, Wei Dai, Sean D. Rosario, Eric P. Xing
Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling. ICIAR (2018)
Yi Zhou, Yingbin Liang, Yaoliang Yu, Wei Dai, Eric P. Xing
Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters. J. Mach. Learn. Res. 19 (2018)
Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing
SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation. CoRR (2017)
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)
Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing
Dual Motion GAN for Future-Flow Embedded Video Prediction. CoRR (2017)
Ian En-Hsu Yen, Xiangru Huang, Wei Dai, Pradeep Ravikumar, Inderjit S. Dhillon, Eric P. Xing
PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification. 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)
Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing
Dual Motion GAN for Future-Flow Embedded Video Prediction. ICCV (2017)
Yi Zhou, Yaoliang Yu, Wei Dai, Yingbin Liang, Eric P. Xing
On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System. AISTATS (2016)
Yu-Xiang Wang, Veeranjaneyulu Sadhanala, Wei Dai, Willie Neiswanger, Suvrit Sra, Eric P. Xing
Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms. ICML (2016)
Aaron Harlap, Henggang Cui, Wei Dai, Jinliang Wei, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
Addressing the straggler problem for iterative convergent parallel ML. SoCC (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)
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)
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)
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)
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)
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)
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)