Hao Zhang
Hao Zhang
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HD-CNN: hierarchical deep convolutional neural networks for large scale visual recognition
Z Yan, H Zhang, R Piramuthu, V Jagadeesh, D DeCoste, W Di, Y Yu
Proceedings of the IEEE international conference on computer vision, 2740-2748, 2015
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
H Zhang, Z Zheng, S Xu, W Dai, Q Ho, X Liang, Z Hu, J Wei, P Xie, ...
USENIX Annual Technical Conference 1 (1), 1.2, 2017
Geeps: Scalable deep learning on distributed gpus with a gpu-specialized parameter server
H Cui, H Zhang, GR Ganger, PB Gibbons, EP Xing
Proceedings of the eleventh european conference on computer systems, 1-16, 2016
Automatic Photo Adjustment Using Deep Neural Networks
Z Yan, H Zhang, B Wang, S Paris, Y Yu
ACM Transactions on Graphics (TOG) 35 (2), 2016
Scan: Structure correcting adversarial network for organ segmentation in chest x-rays
W Dai, N Dong, Z Wang, X Liang, H Zhang, EP Xing
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
Recurrent topic-transition gan for visual paragraph generation
X Liang, Z Hu, H Zhang, C Gan, EP Xing
Proceedings of the IEEE international conference on computer vision, 3362-3371, 2017
Symbolic graph reasoning meets convolutions
X Liang, Z Hu, H Zhang, L Lin, EP Xing
Advances in neural information processing systems 31, 2018
Generative semantic manipulation with mask-contrasting gan
X Liang, H Zhang, L Lin, E Xing
Proceedings of the European Conference on Computer Vision (ECCV), 558-573, 2018
A tensor-based scheme for stroke patients’ motor imagery EEG analysis in BCI-FES rehabilitation training
Y Liu, M Li, H Zhang, H Wang, J Li, J Jia, Y Wu, L Zhang
Journal of neuroscience methods 222, 238-249, 2014
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning.
A Qiao, SK Choe, SJ Subramanya, W Neiswanger, Q Ho, H Zhang, ...
OSDI 21, 1-18, 2021
Structured generative adversarial networks
Z Deng, H Zhang, X Liang, L Yang, S Xu, J Zhu, EP Xing
Advances in neural information processing systems 30, 2017
Dynamic topic modeling for monitoring market competition from online text and image data
H Zhang, G Kim, EP Xing
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
Toward understanding the impact of staleness in distributed machine learning
W Dai, Y Zhou, N Dong, H Zhang, EP Xing
arXiv preprint arXiv:1810.03264, 2018
A Boosting-Based Spatial-Spectral Model for Stroke Patients' EEG Analysis in Rehabilitation Training
Y Liu, H Zhang, M Chen, L Zhang
Transactions on Neural Systems and Rehabilitation Engineering, 2015
Alpa: Automating Inter-and {Intra-Operator} Parallelism for Distributed Deep Learning
L Zheng, Z Li, H Zhang, Y Zhuang, Z Chen, Y Huang, Y Wang, Y Xu, ...
16th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2022
Combining the best of convolutional layers and recurrent layers: A hybrid network for semantic segmentation
Z Yan, H Zhang, Y Jia, T Breuel, Y Yu
arXiv preprint arXiv:1603.04871, 2016
Terapipe: Token-level pipeline parallelism for training large-scale language models
Z Li, S Zhuang, S Guo, D Zhuo, H Zhang, D Song, I Stoica
International Conference on Machine Learning, 6543-6552, 2021
Autoloss: Learning discrete schedules for alternate optimization
H Xu, H Zhang, Z Hu, X Liang, R Salakhutdinov, E Xing
arXiv preprint arXiv:1810.02442, 2018
Zm-net: Real-time zero-shot image manipulation network
H Wang, X Liang, H Zhang, DY Yeung, EP Xing
arXiv preprint arXiv:1703.07255, 2017
Learning Concept Taxonomies from Multi-modal Data
H Zhang, Z Hu, Y Deng, M Sachan, Z Yan, EP Xing
the Annual Meeting of the Association for Computational Linguistics (ACL), 2016
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