Hao Zhang 0025 - researchr alias

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Viewing Publication 1 - 6 from 6

2021

Machine Learning Parallelism Could Be Adaptive, Composable and AutomatedHao Zhang 0025. PhD thesis, Carnegie Mellon University, USA, 2021. [doi]

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep LearningAurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang 0025, Gregory R. Ganger, Eric P. Xing. osdi 2021: [doi]

2020

AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep LearningHao Zhang 0025, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing. nips 2020: [doi]

Embedding High-Level Knowledge into DQNs to Learn Faster and More SafelyZihang Gao, Fangzhen Lin, Yi Zhou, Hao Zhang 0025, Kaishun Wu, Haodi Zhang. AAAI 2020: 13608-13609 [doi]

2019

Toward Understanding the Impact of Staleness in Distributed Machine LearningWei Dai 0003, Yi Zhou, Nanqing Dong, Hao Zhang 0025, Eric P. Xing. iclr 2019: [doi]

AutoLoss: Learning Discrete Schedule for Alternate OptimizationHaowen Xu, Hao Zhang 0025, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing. iclr 2019: [doi]

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