Hao Zhang

According to our database, Hao Zhang authored at least 34 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Machine Learning Parallelism Could Be Adaptive, Composable and Automated.

Hao Zhang

PhD thesis, 2021

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning.

Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing

Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation.

Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning.

Zhijie Deng, Xiao Yang, Hao Zhang, Yinpeng Dong, Jun Zhu

CoRR, 2020

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning.

Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing

CoRR, 2020

AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning.

Hao Zhang, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

AutoLoss: Learning Discrete Schedule for Alternate Optimization.

Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing

Proceedings of the 7th International Conference on Learning Representations, 2019

Toward Understanding the Impact of Staleness in Distributed Machine Learning.

Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

AutoLoss: Learning Discrete Schedules for Alternate Optimization.

Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing

CoRR, 2018

Cavs: An Efficient Runtime System for Dynamic Neural Networks.

Shizhen Xu, Hao Zhang, Graham Neubig, Wei Dai, Jin Kyu Kim, Zhijie Deng, Qirong Ho, Guangwen Yang, Eric P. Xing

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Symbolic Graph Reasoning Meets Convolutions.

Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays.

Wei Dai, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Generative Semantic Manipulation with Mask-Contrasting GAN.

Xiaodan Liang, Hao Zhang, Liang Lin, Eric P. Xing

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks.

Hao Zhang, Shizhen Xu, Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing

CoRR, 2017

Generative Semantic Manipulation with Contrasting GAN.

Xiaodan Liang, Hao Zhang, Eric P. Xing

CoRR, 2017

SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation.

Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing

CoRR, 2017

ZM-Net: Real-time Zero-shot Image Manipulation Network.

Hao Wang, Xiaodan Liang, Hao Zhang, Dit-Yan Yeung, Eric P. Xing

CoRR, 2017

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.

Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Structured Generative Adversarial Networks.

Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Recurrent Topic-Transition GAN for Visual Paragraph Generation.

Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Automatic Photo Adjustment Using Deep Neural Networks.

Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu

ACM Trans. Graph., 2016

Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation.

Zhicheng Yan, Hao Zhang, Yangqing Jia, Thomas M. Breuel, Yizhou Yu

CoRR, 2016

GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server.

Henggang Cui, Hao Zhang, Gregory R. Ganger, Phillip B. Gibbons, Eric P. Xing

Proceedings of the Eleventh European Conference on Computer Systems, 2016

Learning Concept Taxonomies from Multi-modal Data.

Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Speaker Adaptive Training of Deep Neural Network Acoustic Models Using I-Vectors.

Yajie Miao, Hao Zhang, Florian Metze

IEEE ACM Trans. Audio Speech Lang. Process., 2015

Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines.

Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing

CoRR, 2015

Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data.

Hao Zhang, Gunhee Kim, Eric P. Xing

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition.

Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Yizhou Yu

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Regularizing DNN acoustic models with Gaussian stochastic neurons.

Hao Zhang, Yajie Miao, Florian Metze

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Semi-supervised training in low-resource ASR and KWS.

Florian Metze, Ankur Gandhe, Yajie Miao, Zaid Sheikh, Yun Wang, Di Xu, Hao Zhang, Jungsuk Kim, Ian R. Lane, Wonkyum Lee, Sebastian Stüker, Markus Müller

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Automatic Photo Adjustment Using Deep Learning.

Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu

CoRR, 2014

Improvements to speaker adaptive training of deep neural networks.

Yajie Miao, Lu Jiang, Hao Zhang, Florian Metze

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Towards speaker adaptive training of deep neural network acoustic models.

Yajie Miao, Hao Zhang, Florian Metze

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Distributed learning of multilingual DNN feature extractors using GPUs.

Yajie Miao, Hao Zhang, Florian Metze

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014