Follow
Zejiang Hou
Zejiang Hou
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
CHEX: CHannel EXploration for CNN Model Compression
Z Hou, M Qin, F Sun, X Ma, K Yuan, Y Xu, YK Chen, R Jin, Y Xie, SY Kung
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12287 …, 2022
612022
MILAN: Masked Image Pretraining on Language Assisted Representation
Z Hou, F Sun, YK Chen, Y Xie, SY Kung
arXiv preprint arXiv:2208.06049, 2022
502022
Efficient image super resolution via channel discriminative deep neural network pruning
Z Hou, SY Kung
International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2020
332020
Effective model sparsification by scheduled grow-and-prune methods
X Ma, M Qin, F Sun, Z Hou, K Yuan, Y Xu, Y Wang, YK Chen, R Jin, Y Xie
International Conference on Learning Representations (ICLR), 2022
302022
Multi-dimensional model compression of vision transformer
Z Hou, SY Kung
2022 IEEE International Conference on Multimedia and Expo (ICME), 01-06, 2022
172022
Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search
Z Hou, SY Kung
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3669-3678, 2022
162022
Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation
Z Hou, J Salazar, G Polovets
Transactions of the Association for Computational Linguistics (TACL), 2022
92022
A feature-map discriminant perspective for pruning deep neural networks
Z Hou, SY Kung
arXiv preprint arXiv:2005.13796, 2020
92020
Methodical design and trimming of deep learning networks: Enhancing external bp learning with internal omnipresent-supervision training paradigm
SY Kung, Z Hou, Y Liu
International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2019
82019
Multi-dimensional dynamic model compression for efficient image super-resolution
Z Hou, SY Kung
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 633-643, 2022
72022
A discriminant information approach to deep neural network pruning
Z Hou, SY Kung
International Conference on Pattern Recognition (ICPR), 9553-9560, 2021
72021
Meta-learning with attention for improved few-shot learning
Z Hou, A Walid, SY Kung
International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2021
42021
Parameter Efficient Dynamic Convolution via Tensor Decomposition
Z Hou, SY Kung
British Machine Vision Conference (BMVC), 2021
42021
Augment deep BP-parameter learning with local XAI-structural learning
SY Kung, Z Hou
Communications in Information and Systems 20 (3), 319-352, 2020
42020
Chex: Channel exploration for cnn model compression. 2022 IEEE
Z Hou, M Qin, F Sun, X Ma, K Yuan, Y Xu, YK Chen, R Jin, Y Xie, SY Kung
CVF Conference on Computer Vision and Pattern Recognition (CVPR)(2022 …, 2022
32022
A Kernel Discriminant Information Approach to Non-linear Feature Selection
Z Hou, SY Kung
International Joint Conference on Neural Networks (IJCNN), 1-10, 2019
32019
Distributed optimal power flow: An Augmented Lagrangian-Sequential Quadratic Programming approach
Z Hou, HC Wu, SC Chan
IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
32017
Scalable kernel learning via the discriminant information
M Al, Z Hou, SY Kung
International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2020
22020
Semi-supervised few-shot learning via dependency maximization and instance discriminant analysis
Z Hou, SY Kung
Journal of Signal Processing Systems 95 (1), 13-24, 2023
12023
Model and Data Efficiency in Deep Learning
Z Hou
Princeton University, 2022
12022
The system can't perform the operation now. Try again later.
Articles 1–20