Hao Zhang

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 33

Top Topics

Feature Extractors

Image Manipulation

Top Venues

Publications

Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. OSDI (2021)
Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. CoRR (2020)
Hao Zhang, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning. NeurIPS (2020)
Zhijie Deng, Xiao Yang, Hao Zhang, Yinpeng Dong, Jun Zhu
BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning. CoRR (2020)
Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing
AutoLoss: Learning Discrete Schedule for Alternate Optimization. ICLR (Poster) (2019)
Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing
Toward Understanding the Impact of Staleness in Distributed Machine Learning. ICLR (Poster) (2019)
Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing
Toward Understanding the Impact of Staleness in Distributed Machine Learning. CoRR (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)
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)
Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, Eric P. Xing
Symbolic Graph Reasoning Meets Convolutions. NeurIPS (2018)
Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing
AutoLoss: Learning Discrete Schedules for Alternate Optimization. CoRR (2018)
Xiaodan Liang, Hao Zhang, Liang Lin, Eric P. Xing
Generative Semantic Manipulation with Mask-Contrasting GAN. ECCV (13) (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)
Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing
Structured Generative Adversarial Networks. NIPS (2017)
Xiaodan Liang, Hao Zhang, Eric P. Xing
Generative Semantic Manipulation with Contrasting GAN. 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)
Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing
Structured Generative Adversarial Networks. CoRR (2017)
Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing
Recurrent Topic-Transition GAN for Visual Paragraph Generation. CoRR (2017)
Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing
Recurrent Topic-Transition GAN for Visual Paragraph Generation. ICCV (2017)
Hao Wang, Xiaodan Liang, Hao Zhang, Dit-Yan Yeung, Eric P. Xing
ZM-Net: Real-time Zero-shot Image Manipulation Network. 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. USENIX Annual Technical Conference (2017)
Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
Learning Concept Taxonomies from Multi-modal Data. ACL (1) (2016)
Henggang Cui, Hao Zhang, Gregory R. Ganger, Phillip B. Gibbons, Eric P. Xing
GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server. EuroSys (2016)
Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
Learning Concept Taxonomies from Multi-modal Data. CoRR (2016)
Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu
Automatic Photo Adjustment Using Deep Neural Networks. ACM Trans. Graph. 35 (2) (2016)
Zhicheng Yan, Hao Zhang, Yangqing Jia, Thomas M. Breuel, Yizhou Yu
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation. CoRR (2016)
Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines. CoRR (2015)
Hao Zhang, Gunhee Kim, Eric P. Xing
Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data. KDD (2015)
Hao Zhang, Yajie Miao, Florian Metze
Regularizing DNN acoustic models with Gaussian stochastic neurons. ICASSP (2015)
Yajie Miao, Hao Zhang, Florian Metze
Speaker Adaptive Training of Deep Neural Network Acoustic Models Using I-Vectors. IEEE ACM Trans. Audio Speech Lang. Process. 23 (11) (2015)
Florian Metze, Ankur Gandhe, Yajie Miao, Zaid A. W. Sheikh, Yun Wang, Di Xu, Hao Zhang, Jungsuk Kim, Ian R. Lane, Wonkyum Lee, Sebastian Stüker, Markus Müller
Semi-supervised training in low-resource ASR and KWS. ICASSP (2015)
Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Yizhou Yu
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition. ICCV (2015)
Yajie Miao, Hao Zhang, Florian Metze
Distributed learning of multilingual DNN feature extractors using GPUs. INTERSPEECH (2014)
Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu
Automatic Photo Adjustment Using Deep Learning. CoRR (2014)
Yajie Miao, Hao Zhang, Florian Metze
Towards speaker adaptive training of deep neural network acoustic models. INTERSPEECH (2014)
Yajie Miao, Lu Jiang, Hao Zhang, Florian Metze
Improvements to speaker adaptive training of deep neural networks. SLT (2014)