Hao Zhu
Hao Zhu
Verified email at anu.edu.au
Cited by
Cited by
Bottom-up saliency based on weighted sparse coding residual
B Han, H Zhu, Y Ding
Proceedings of the 19th ACM international conference on Multimedia, 1117-1120, 2011
Semi-automatic 10/20 identification method for MRI-free probe placement in transcranial brain mapping techniques
X Xiao, H Zhu, WJ Liu, XT Yu, L Duan, Z Li, CZ Zhu
Frontiers in neuroscience 11, 4, 2017
Locality Constrained Deep Supervised Hashing for Image Retrieval.
H Zhu, S Gao
IJCAI, 3567-3573, 2017
Doc2hash: Learning Discrete Latent variables for Documents Retrieval
Y Zhang, H Zhu
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph
Y Ren, H Zhu, J ZHang, P Dai, L Bo
arXiv preprint arXiv:1912.11113, 2019
K-means based double-bit quantization for hashing
H Zhu
2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and …, 2014
Visual saliency: A manifold way of perception
H Zhu, B Han, X Ruan
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
Supervised hashing with jointly learning embedding and quantization
H Zhu, F Wang, X Xiang, TD Tran
2017 IEEE International Conference on Image Processing (ICIP), 3715-3719, 2017
Image based assistant localization in urban navigation
H Zhu, G Zhao, J Wang
2009 IEEE Intelligent Vehicles Symposium, 388-392, 2009
Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning
Y Zhang, H Zhu
arXiv preprint arXiv:2007.06849, 2020
Discrete Wasserstein Autoencoders for Document Retrieval
Y Zhang, H Zhu
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Scalable Semi-Supervised Learning by Graph Construction with Approximate Anchors Embedding
H Zhu, M Xia
2018 24th International Conference on Pattern Recognition (ICPR), 1331-1336, 2018
HGsuspector: Scalable Collective Fraud Detection in Heterogeneous Graphs
X Li, W Zhang, J Xi, H Zhu
Fast Inference of Contaminated Data for Real Time Object Tracking
H Zhu, Y Li
Asian Conference on Computer Vision, 275-289, 2014
Bottom-up model of visual saliency: A viewpoint based on efficient coding hypothesis
H Zhu, B Han
2014 International Joint Conference on Neural Networks (IJCNN), 2136-2141, 2014
Visual saliency via loss coding
H Zhu, B Han
2014 International Joint Conference on Neural Networks (IJCNN), 3435-3441, 2014
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