Zejiang Hou

According to our database, Zejiang Hou authored at least 21 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Semi-Supervised Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis.

Zejiang Hou, Sun-Yuan Kung

J. Signal Process. Syst., January, 2023

2022

Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation.

Zejiang Hou, Julian Salazar, George Polovets

Trans. Assoc. Comput. Linguistics, 2022

MILAN: Masked Image Pretraining on Language Assisted Representation.

Zejiang Hou, Fei Sun, Yen-Kuang Chen, Yuan Xie, Sun-Yuan Kung

CoRR, 2022

Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution.

Zejiang Hou, Sun-Yuan Kung

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Multi-Dimensional Model Compression of Vision Transformer.

Zejiang Hou, Sun-Yuan Kung

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Effective Model Sparsification by Scheduled Grow-and-Prune Methods.

Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie

Proceedings of the Tenth International Conference on Learning Representations, 2022

CHEX: CHannel EXploration for CNN Model Compression.

Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search.

Zejiang Hou, Sun-Yuan Kung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective.

Zejiang Hou, Sun-Yuan Kung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis.

Zejiang Hou, Sun-Yuan Kung

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Meta-Learning with Attention for Improved Few-Shot Learning.

Zejiang Hou, Anwar Walid, Sun-Yuan Kung

Proceedings of the IEEE International Conference on Acoustics, 2021

Parameter Efficient Dynamic Convolution via Tensor Decomposition.

Zejiang Hou, Sun-Yuan Kung

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

A Feature-map Discriminant Perspective for Pruning Deep Neural Networks.

Zejiang Hou, Sun-Yuan Kung

CoRR, 2020

Augment deep BP-parameter learning with local XAI-structural learning.

Sun-Yuan Kung, Zejiang Hou

Commun. Inf. Syst., 2020

A Discriminant Information Approach to Deep Neural Network Pruning.

Zejiang Hou, Sun-Yuan Kung

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Hierarchically Aggregated Residual Transformation for Single Image Super Resolution.

Zejiang Hou, Sun-Yuan Kung

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Efficient Image Super Resolution Via Channel Discriminative Deep Neural Network Pruning.

Zejiang Hou, Sun-Yuan Kung

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Scalable Kernel Learning Via the Discriminant Information.

Mert Al, Zejiang Hou, Sun-Yuan Kung

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

A Kernel Discriminant Information Approach to Non-linear Feature Selection.

Zejiang Hou, Sun-Yuan Kung

Proceedings of the International Joint Conference on Neural Networks, 2019

Methodical Design and Trimming of Deep Learning Networks: Enhancing External BP Learning with Internal Omnipresent-supervision Training Paradigm.

Sun-Yuan Kung, Zejiang Hou, Yuchen Liu

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Distributed optimal power flow: An Augmented Lagrangian-Sequential Quadratic Programming approach.

Zejiang Hou, Ho-Chun Wu, Shing-Chow Chan

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017