Wei Dai - RankMe

35 papers A* 6A 2Journal 14Unranked 12

Year	Rank	Type	Title / Venue / Authors
2019	—	`conf`	Neural Architecture Search for Adversarial Medical Image Segmentation. MICCAI (6) Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric P. Xing
2019	—	`conf`	Toward Understanding the Impact of Staleness in Distributed Machine Learning. ICLR (Poster) Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing
2018	—	`conf`	Cavs: An Efficient Runtime System for Dynamic Neural Networks. USENIX ATC Shizhen Xu, Hao Zhang, Graham Neubig, Wei Dai, Jin Kyu Kim, Zhijie Deng, Qirong Ho, Guangwen Yang, Eric P. Xing
2018	—	`conf`	Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling. ICIAR Zeya Wang, Nanqing Dong, Wei Dai, Sean D. Rosario, Eric P. Xing
2018	J	`jnl`	Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters. J. Mach. Learn. Res. Yi Zhou, Yingbin Liang, Yaoliang Yu, Wei Dai, Eric P. Xing
2018	—	`—`	Learning with Staleness. Wei Dai
2018	—	`conf`	Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images. DLMIA/ML-CDS@MICCAI Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
2018	J	`jnl`	Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images. CoRR Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
2018	—	`conf`	SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays. DLMIA/ML-CDS@MICCAI Wei Dai, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing
2018	J	`jnl`	Toward Understanding the Impact of Staleness in Distributed Machine Learning. CoRR Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing
2018	—	`conf`	Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. MICCAI (2) Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
2018	J	`jnl`	Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. CoRR Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
2017	J	`jnl`	Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks. CoRR Hao Zhang, Shizhen Xu, Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing
2017	A*	`conf`	Dual Motion GAN for Future-Flow Embedded Video Prediction. ICCV Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing
2017	J	`jnl`	Dual Motion GAN for Future-Flow Embedded Video Prediction. CoRR Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing
2017	A*	`conf`	PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification. KDD Ian En-Hsu Yen, Xiangru Huang, Wei Dai, Pradeep Ravikumar, Inderjit S. Dhillon, Eric P. Xing
2017	—	`conf`	Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX ATC Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2017	J	`jnl`	Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2017	J	`jnl`	SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation. CoRR Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing
2016	—	`conf`	Addressing the straggler problem for iterative convergent parallel ML. SoCC Aaron Harlap, Henggang Cui, Wei Dai, Jinliang Wei, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
2016	A	`conf`	On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System. AISTATS Yi Zhou, Yaoliang Yu, Wei Dai, Yingbin Liang, Eric P. Xing
2016	A*	`conf`	Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms. ICML Yu-Xiang Wang, Veeranjaneyulu Sadhanala, Wei Dai, Willie Neiswanger, Suvrit Sra, Eric P. Xing
2016	A	`conf`	STRADS: a distributed framework for scheduled model parallel machine learning. EuroSys Jin Kyu Kim, Qirong Ho, Seunghak Lee, Xun Zheng, Wei Dai, Garth A. Gibson, Eric P. Xing
2015	A*	`conf`	High-Performance Distributed ML at Scale through Parameter Server Consistency Models. AAAI Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing
2015	A*	`conf`	LightLDA: Big Topic Models on Modest Computer Clusters. WWW Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Poe Xing, Tie-Yan Liu, Wei-Ying Ma
2015	—	`conf`	Managed communication and consistency for fast data-parallel iterative analytics. SoCC Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
2015	A*	`conf`	Petuum: A New Platform for Distributed Machine Learning on Big Data. KDD Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
2015	J	`jnl`	Petuum: A New Platform for Distributed Machine Learning on Big Data. IEEE Trans. Big Data Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
2015	J	`jnl`	Strategies and Principles of Distributed Machine Learning on Big Data. CoRR Eric P. Xing, Qirong Ho, Pengtao Xie, Wei Dai
2014	—	`conf`	Exploiting Bounded Staleness to Speed Up Big Data Analytics. USENIX ATC 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
2014	—	`conf`	Exploiting iterative-ness for parallel ML computations. SoCC 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
2014	J	`jnl`	High-Performance Distributed ML at Scale through Parameter Server Consistency Models. CoRR Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing
2014	J	`jnl`	LightLDA: Big Topic Models on Modest Compute Clusters. CoRR Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, Wei-Ying Ma
2013	J	`jnl`	Consistent Bounded-Asynchronous Parameter Servers for Distributed ML. CoRR Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing
2013	J	`jnl`	Petuum: A Framework for Iterative-Convergent Distributed ML. CoRR Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing