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Haichuan Yang
Haichuan Yang
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Title
Cited by
Cited by
Year
Model compression with adversarial robustness: A unified optimization framework
S Gui, H Wang, H Yang, C Yu, Z Wang, J Liu
Advances in Neural Information Processing Systems 32, 2019
1042019
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
692018
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
452014
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
44*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
372019
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
322020
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
252020
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
232018
PyTorchVideo: A deep learning library for video understanding
H Fan, T Murrell, H Wang, KV Alwala, Y Li, Y Li, B Xiong, N Ravi, M Li, ...
Proceedings of the 29th ACM International Conference on Multimedia, 3783-3786, 2021
222021
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
212016
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
192014
Shupeng Gui, Yuhao Zhu, and Ji Liu. Automatic neural network compression by sparsity-quantization joint learning: A constrained optimization-based approach
H Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
122020
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
112019
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
112018
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
92016
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
62020
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
62016
Shupeng Gui, Yuhao Zhu, and Ji Liu. 2020. Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach
H Yang
Proc. of the 2020 IEEE Computer Society Conf. Computer Vision and Pattern …, 0
5
Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet
H Yang, Y Shangguan, D Wang, M Li, P Chuang, X Zhang, G Venkatesh, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
32022
Learning a dual-mode speech recognition model via self-pruning
C Liu, Y Shangguan, H Yang, Y Shi, R Krishnamoorthi, O Kalinli
arXiv preprint arXiv:2207.11906, 2022
22022
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