| 2025 | ICASSP | Hyper-adapter for Parameter-Efficient Multilingual ASR Adaptation. | Zejiang Hou, Daniel Garcia-Romero, Kyu J. Han |
| 2025 | ICASSP | Masked Image Pretraining on Language Assisted Representation. | Zejiang Hou, Sun-Yuan Kung |
| 2025 | ICASSP | Zero-resource Speech Translation and Recognition with LLMs. | Karel Mundnich, Xing Niu, Prashant Mathur, Srikanth Ronanki, Brady Houston, Veera Raghavendra Elluru, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Anshu Bhatia, Daniel Garcia-Romero, Kyu J. Han, Katrin Kirchhoff |
| 2025 | ICASSP | Contextual ASR with Retrieval Augmented Large Language Model. | Cihan Xiao, Zejiang Hou, Daniel Garcia-Romero, Kyu J. Han |
| 2024 | ACL | SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models. | 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 |
| 2024 | Interspeech | Revisiting Convolution-free Transformer for Speech Recognition. | Zejiang Hou, Goeric Huybrechts, Anshu Bhatia, Daniel Garcia-Romero, Kyu J. Han, Katrin Kirchhoff |
| 2024 | Interspeech | Improving Multilingual ASR Robustness to Errors in Language Input. | Brady Houston, Omid Sadjadi, Zejiang Hou, Srikanth Vishnubhotla, Kyu J. Han |
| 2022 | CVPR | Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective. | Zejiang Hou, Sun-Yuan Kung |
| 2022 | CVPR | Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search. | Zejiang Hou, Sun-Yuan Kung |
| 2022 | CVPR | 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 |
| 2022 | ICLR | 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 |
| 2022 | WACV | Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution. | Zejiang Hou, Sun-Yuan Kung |
| 2021 | BMVC | Parameter Efficient Dynamic Convolution via Tensor Decomposition. | Zejiang Hou, Sun-Yuan Kung |
| 2021 | ICASSP | Meta-Learning with Attention for Improved Few-Shot Learning. | Zejiang Hou, Anwar Walid, Sun-Yuan Kung |
| 2020 | ICASSP | Scalable Kernel Learning Via the Discriminant Information. | Mert Al, Zejiang Hou, Sun-Yuan Kung |
| 2020 | ICASSP | Efficient Image Super Resolution Via Channel Discriminative Deep Neural Network Pruning. | Zejiang Hou, Sun-Yuan Kung |
| 2020 | ICPR | Hierarchically Aggregated Residual Transformation for Single Image Super Resolution. | Zejiang Hou, Sun-Yuan Kung |
| 2020 | ICPR | A Discriminant Information Approach to Deep Neural Network Pruning. | Zejiang Hou, Sun-Yuan Kung |
| 2019 | ICASSP | 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 |
| 2019 | IJCNN | A Kernel Discriminant Information Approach to Non-linear Feature Selection. | Zejiang Hou, Sun-Yuan Kung |
| 2017 | ISCAS | Distributed optimal power flow: An Augmented Lagrangian-Sequential Quadratic Programming approach. | Zejiang Hou, Ho-Chun Wu, Shing-Chow Chan |