Selected publications

• 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

In CVPR 2022.

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

Zejiang Hou, Julian Salazar, George Polovets

In TACL 2022 (Transactions of the ACL, Vol.10).

• 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

In ICLR 2022.

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

Zejiang Hou, Sun-Yuan Kung

In WACV 2022.

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

Zejiang Hou, Sun-Yuan Kung

In CVPR Workshop 2022.

• Parameter Efficient Dynamic Convolution via Tensor Decomposition

Zejiang Hou, Sun-Yuan Kung

In BMVC 2021.

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

Sun-Yuan Kung, Zejiang Hou

In Communications in Information and Systems 2020.

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

Zejiang Hou, Sun-Yuan Kung

In ICASSP 2020.

• Scalable Kernel Learning Via the Discriminant Information

Mert Al, Zejiang Hou, Sun-Yuan Kung

In ICASSP 2020.

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

Zejiang Hou, Sun-Yuan Kung

In IJCNN 2019.

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

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

In ISCAS 2017.

Preprints

• Multi-Dimensional Model Compression of Vision Transformer

Zejiang Hou, Sun-Yuan Kung

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

Zejiang Hou, Sun-Yuan Kung

Working papers

• MILAN: Masked Image Pretraining on Language Assisted Representation

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