Zejiang Hou

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Discriminant Information

Parameter Learning

Super Resolution

Top Venues

Publications

Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich, Saket Dingliwal, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Srikanth Vishnubhotla, Daniel Garcia-Romero, Sundararajan Srinivasan, Kyu J. Han, Katrin Kirchhoff
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models. CoRR (2024)
Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich, Saket Dingliwal, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Srikanth Vishnubhotla, Daniel Garcia-Romero, Sundararajan Srinivasan, Kyu J. Han, Katrin Kirchhoff
SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models. ACL (Findings) (2024)
Zejiang Hou, Sun-Yuan Kung
Semi-Supervised Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. J. Signal Process. Syst. 95 (1) (2023)
Zejiang Hou, Sun-Yuan Kung
Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search. CVPR Workshops (2022)
Zejiang Hou, Sun-Yuan Kung
Multi-Dimensional Model Compression of Vision Transformer. CoRR (2022)
Zejiang Hou, Sun-Yuan Kung
Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution. WACV (2022)
Zejiang Hou, Julian Salazar, George Polovets
Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation. Trans. Assoc. Comput. Linguistics 10 (2022)
Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. ICLR (2022)
Zejiang Hou, Fei Sun, Yen-Kuang Chen, Yuan Xie, Sun-Yuan Kung
MILAN: Masked Image Pretraining on Language Assisted Representation. CoRR (2022)
Zejiang Hou, Sun-Yuan Kung
Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective. CVPR Workshops (2022)
Zejiang Hou, Julian Salazar, George Polovets
Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation. CoRR (2022)
Zejiang Hou, Sun-Yuan Kung
Multi-Dimensional Model Compression of Vision Transformer. ICME (2022)
Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung
CHEX: CHannel EXploration for CNN Model Compression. CoRR (2022)
Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung
CHEX: CHannel EXploration for CNN Model Compression. CVPR (2022)
Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. CoRR (2021)
Zejiang Hou, Sun-Yuan Kung
Parameter Efficient Dynamic Convolution via Tensor Decomposition. BMVC (2021)
Zejiang Hou, Sun-Yuan Kung
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis. CoRR (2021)
Zejiang Hou, Sun-Yuan Kung
Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. MLSP (2021)
Zejiang Hou, Anwar Walid, Sun-Yuan Kung
Meta-Learning with Attention for Improved Few-Shot Learning. ICASSP (2021)
Zejiang Hou, Sun-Yuan Kung
Efficient Image Super Resolution Via Channel Discriminative Deep Neural Network Pruning. ICASSP (2020)
Zejiang Hou, Sun-Yuan Kung
A Discriminant Information Approach to Deep Neural Network Pruning. ICPR (2020)
Zejiang Hou, Sun-Yuan Kung
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks. CoRR (2020)
Sun-Yuan Kung, Zejiang Hou
Augment deep BP-parameter learning with local XAI-structural learning. Commun. Inf. Syst. 20 (3) (2020)
Mert Al, Zejiang Hou, Sun-Yuan Kung
Scalable Kernel Learning Via the Discriminant Information. ICASSP (2020)
Zejiang Hou, Sun-Yuan Kung
Hierarchically Aggregated Residual Transformation for Single Image Super Resolution. ICPR (2020)
Zejiang Hou, Sun-Yuan Kung
A Kernel Discriminant Information Approach to Non-linear Feature Selection. IJCNN (2019)
Sun-Yuan Kung, Zejiang Hou, Yuchen Liu
Methodical Design and Trimming of Deep Learning Networks: Enhancing External BP Learning with Internal Omnipresent-supervision Training Paradigm. ICASSP (2019)
Mert Al, Zejiang Hou, Sun-Yuan Kung
Scalable Kernel Learning via the Discriminant Information. CoRR (2019)
Zejiang Hou, Ho-Chun Wu, Shing-Chow Chan
Distributed optimal power flow: An Augmented Lagrangian-Sequential Quadratic Programming approach. ISCAS (2017)