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Zejiang Hou
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2020 – today
- 2024
- [c17]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: 10018-10035 - [i9]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 abs/2405.08317 (2024) - 2023
- [j3]Zejiang Hou
, Sun-Yuan Kung:
Semi-Supervised Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. J. Signal Process. Syst. 95(1): 13-24 (2023) - 2022
- [j2]Zejiang Hou, Julian Salazar
Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation. Trans. Assoc. Comput. Linguistics 10: 1249-1265 (2022) - [c16]Zejiang Hou, Sun-Yuan Kung:
Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective. CVPR Workshops 2022: 2816-2824 - [c15]Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search. CVPR Workshops 2022: 3668-3677 - [c14]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: 12277-12288 - [c13]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 - [c12]Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Model Compression of Vision Transformer. ICME 2022: 1-6 - [c11]Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution. WACV 2022: 3492-3502 - [i8]Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Model Compression of Vision Transformer. CoRR abs/2201.00043 (2022) - [i7]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 abs/2203.15794 (2022) - [i6]Zejiang Hou, Julian Salazar, George Polovets:
Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation. CoRR abs/2207.03509 (2022) - [i5]Zejiang Hou, Fei Sun, Yen-Kuang Chen, Yuan Xie, Sun-Yuan Kung:
MILAN: Masked Image Pretraining on Language Assisted Representation. CoRR abs/2208.06049 (2022) - 2021
- [c10]Zejiang Hou, Sun-Yuan Kung:
Parameter Efficient Dynamic Convolution via Tensor Decomposition. BMVC 2021: 107 - [c9]Zejiang Hou, Anwar Walid, Sun-Yuan Kung:
Meta-Learning with Attention for Improved Few-Shot Learning. ICASSP 2021: 2725-2729 - [c8]Zejiang Hou, Sun-Yuan Kung:
Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. MLSP 2021: 1-6 - [i4]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 abs/2106.09857 (2021) - [i3]Zejiang Hou, Sun-Yuan Kung:
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis. CoRR abs/2109.02820 (2021) - 2020
- [j1]Sun-Yuan Kung, Zejiang Hou:
Augment deep BP-parameter learning with local XAI-structural learning. Commun. Inf. Syst. 20(3): 319-352 (2020) - [c7]Mert Al, Zejiang Hou, Sun-Yuan Kung:
Scalable Kernel Learning Via the Discriminant Information. ICASSP 2020: 3152-3156 - [c6]Zejiang Hou, Sun-Yuan Kung:
Efficient Image Super Resolution Via Channel Discriminative Deep Neural Network Pruning. ICASSP 2020: 3647-3651 - [c5]Zejiang Hou, Sun-Yuan Kung:
Hierarchically Aggregated Residual Transformation for Single Image Super Resolution. ICPR 2020: 2248-2255 - [c4]Zejiang Hou, Sun-Yuan Kung:
A Discriminant Information Approach to Deep Neural Network Pruning. ICPR 2020: 9553-9560 - [i2]Zejiang Hou, Sun-Yuan Kung:
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks. CoRR abs/2005.13796 (2020)
2010 – 2019
- 2019
- [c3]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: 8058-8062 - [c2]Zejiang Hou, Sun-Yuan Kung:
A Kernel Discriminant Information Approach to Non-linear Feature Selection. IJCNN 2019: 1-10 - [i1]Mert Al, Zejiang Hou, Sun-Yuan Kung:
Scalable Kernel Learning via the Discriminant Information. CoRR abs/1909.10432 (2019) - 2017
- [c1]Zejiang Hou, Ho-Chun Wu, Shing-Chow Chan:
Distributed optimal power flow: An Augmented Lagrangian-Sequential Quadratic Programming approach. ISCAS 2017: 1-4
Coauthor Index
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