Hao Zhang
Hao Zhang
Graduate Student, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
TitleCited byYear
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
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, 4, 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
Recurrent topic-transition GAN for visual paragraph generation
X Liang, Z Hu, H Zhang, C Gan, EP Xing
arXiv preprint arXiv:1703.07022, 2017
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, ...
arXiv preprint, 2017
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
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
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
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 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
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
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
Structured Generative Adversarial Networks
Z Deng, H Zhang, X Liang, L Yang, S Xu, J Zhu, EP Xing
Advances in Neural Information Processing Systems, 3899-3909, 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
Gaussian mixture modeling in stroke patients' rehabilitation EEG data analysis
H Zhang, Y Liu, J Liang, J Cao, L Zhang
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual …, 2013
Single-trial discrimination of EEG signals for stroke patients: a general multi-way analysis
Y Liu, M Li, H Zhang, J Li, J Jia, Y Wu, J Cao, L Zhang
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual …, 2013
Cavs: an efficient runtime system for dynamic neural networks
S Xu, H Zhang, G Neubig, W Dai, JK Kim, Z Deng, Q Ho, G Yang, EP Xing
2018 {USENIX} Annual Technical Conference ({USENIX}{ATC} 18), 937-950, 2018
Common spatial-spectral boosting pattern for brain-computer interface
Y Liu, H Zhang, Q Zhao, L Zhang
Proceedings of the Twenty-First European Conference on Artificial …, 2014
Symbolic graph reasoning meets convolutions
X Liang, Z Hu, H Zhang, L Lin, EP Xing
Advances in Neural Information Processing Systems, 1856-1866, 2018
On the Reducibility of Submodular Functions
J Mei, H Zhang, BL Lu
Artificial Intelligence and Statistics, 186-194, 2016
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