Haichuan Yang
Haichuan Yang
Verified email at rochester.edu - Homepage
Title
Cited by
Cited by
Year
Adaptive hash retrieval with kernel based similarity
X Bai, C Yan, H Yang, L Bai, J Zhou, ER Hancock
Pattern Recognition 75, 136-148, 2018
442018
Data-dependent hashing based on p-stable distribution
X Bai, H Yang, J Zhou, P Ren, J Cheng
IEEE Transactions on Image Processing 23 (12), 5033-5046, 2014
402014
Model compression with adversarial robustness: A unified optimization framework
S Gui, H Wang, C Yu, H Yang, Z Wang, J Liu
arXiv preprint arXiv:1902.03538, 2019
34*2019
Energy-constrained compression for deep neural networks via weighted sparse projection and layer input masking
H Yang, Y Zhu, J Liu
arXiv preprint arXiv:1806.04321, 2018
24*2018
Ecc: Platform-independent energy-constrained deep neural network compression via a bilinear regression model
H Yang, Y Zhu, J Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
222019
Adaptive object retrieval with kernel reconstructive hashing
H Yang, X Bai, J Zhou, P Ren, Z Zhang, J Cheng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
182014
Online feature selection: A limited-memory substitution algorithm and its asynchronous parallel variation
H Yang, R Fujimaki, Y Kusumura, J Liu
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
162016
A robust AUC maximization framework with simultaneous outlier detection and feature selection for positive-unlabeled classification
K Ren, H Yang, Y Zhao, W Chen, M Xue, H Miao, S Huang, J Liu
IEEE transactions on neural networks and learning systems 30 (10), 3072-3083, 2018
92018
Marginal policy gradients: A unified family of estimators for bounded action spaces with applications
C Eisenach, H Yang, J Liu, H Liu
arXiv preprint arXiv:1806.05134, 2018
8*2018
Learning simple thresholded features with sparse support recovery
H Xu, Z Wang, H Yang, D Liu, J Liu
IEEE Transactions on Circuits and Systems for Video Technology 30 (4), 970-982, 2019
7*2019
Maximum margin hashing with supervised information
H Yang, X Bai, Y Liu, Y Wang, L Bai, J Zhou, W Tang
Multimedia Tools and Applications 75 (7), 3955-3971, 2016
72016
On benefits of selection diversity via bilevel exclusive sparsity
H Yang, Y Huang, L Tran, J Liu, S Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
72016
Automatic neural network compression by sparsity-quantization joint learning: A constrained optimization-based approach
H Yang, S Gui, Y Zhu, J Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
62020
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework
H Wang, S Gui, H Yang, J Liu, Z Wang
European Conference on Computer Vision, 54-73, 2020
22020
Learning graph model for different dimensions image matching
H Zhou, X Bai, J Zhou, H Yang, Y Liu
International Workshop on Graph-Based Representations in Pattern Recognition …, 2015
22015
Label propagation hashing based on p-stable distribution and coordinate descent
H Yang, X Bai, C Liu, J Zhou
2013 IEEE International Conference on Image Processing, 2674-2678, 2013
22013
Autonomic flexibility reflects learning and associated neuroplasticity in old age
Q Chen, H Yang, B Rooks, M Anthony, Z Zhang, D Tadin, KL Heffner, ...
Human brain mapping 41 (13), 3608-3619, 2020
12020
PARAMETRIZED DEEP Q-NETWORKS LEARNING: PLAYING ONLINE BATTLE ARENA WITH DISCRETE-CONTINUOUS HYBRID ACTION SPACE
J Xiong, Q Wang, Z Yang, P Sun, Y Zheng, L Han, H Fu, X Lian, ...
12018
Sparse learning for model optimization
H Yang
2020
A Large Margin Learning Method for Matching Images of Natural Objects with Different Dimensions
H Zhou, J Zhou, H Yang, C Yan, X Bai, Y Liu
Geospatial Intelligence: Concepts, Methodologies, Tools, and Applications …, 2019
2019
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