Distributed optimal power flow: An Augmented Lagrangian-Sequential Quadratic Programming approach. - Zejiang Hou; Ho-Chun Wu 001; Shing-Chow Chan (ISCAS, 2017)

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 002 (ICASSP, 2019)

A Kernel Discriminant Information Approach to Non-linear Feature Selection. - Zejiang Hou; Sun-Yuan Kung (IJCNN, 2019)

Scalable Kernel Learning Via the Discriminant Information. - Mert Al; Zejiang Hou; Sun-Yuan Kung (ICASSP, 2020)

Efficient Image Super Resolution Via Channel Discriminative Deep Neural Network Pruning. - Zejiang Hou; Sun-Yuan Kung (ICASSP, 2020)

Hierarchically Aggregated Residual Transformation for Single Image Super Resolution. - Zejiang Hou; Sun-Yuan Kung (ICPR, 2020)

A Discriminant Information Approach to Deep Neural Network Pruning. - Zejiang Hou; Sun-Yuan Kung (ICPR, 2020)

Augment deep BP-parameter learning with local XAI-structural learning. - Sun-Yuan Kung; Zejiang Hou (Commun. Inf. Syst., 2020)

A Feature-map Discriminant Perspective for Pruning Deep Neural Networks. - Zejiang Hou; Sun-Yuan Kung (CoRR, 2020)

Parameter Efficient Dynamic Convolution via Tensor Decomposition. - Zejiang Hou; Sun-Yuan Kung (BMVC, 2021)

Meta-Learning with Attention for Improved Few-Shot Learning. - Zejiang Hou; Anwar Walid; Sun-Yuan Kung (ICASSP, 2021)

Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. - Zejiang Hou; Sun-Yuan Kung (MLSP, 2021)

Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective. - Zejiang Hou; Sun-Yuan Kung (CVPR Workshops, 2022)

Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search. - Zejiang Hou; Sun-Yuan Kung (CVPR Workshops, 2022)

CHEX: CHannel EXploration for CNN Model Compression. - Zejiang Hou; Minghai Qin; Fei Sun; Xiaolong Ma; Kun Yuan 001; Yi Xu 008; Yen-Kuang Chen; Rong Jin 001; Yuan Xie 001; Sun-Yuan Kung (CVPR, 2022)

Effective Model Sparsification by Scheduled Grow-and-Prune Methods. - Xiaolong Ma; Minghai Qin; Fei Sun; Zejiang Hou; Kun Yuan 001; Yi Xu 008; Yanzhi Wang; Yen-Kuang Chen; Rong Jin 001; Yuan Xie 001 (ICLR, 2022)

Multi-Dimensional Model Compression of Vision Transformer. - Zejiang Hou; Sun-Yuan Kung (ICME, 2022)

Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution. - Zejiang Hou; Sun-Yuan Kung (WACV, 2022)

MILAN: Masked Image Pretraining on Language Assisted Representation. - Zejiang Hou; Fei Sun; Yen-Kuang Chen; Yuan Xie 001; Sun-Yuan Kung (CoRR, 2022)

Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation. - Zejiang Hou; Julian Salazar; George Polovets (Trans. Assoc. Comput. Linguistics, 2022)

Semi-Supervised Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. - Zejiang Hou; Sun-Yuan Kung (J. Signal Process. Syst., 2023)

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; et al. (ACL (Findings), 2024)

Revisiting Convolution-free Transformer for Speech Recognition. - Zejiang Hou; Goeric Huybrechts; Anshu Bhatia; Daniel Garcia-Romero; Kyu J. Han; Katrin Kirchhoff (INTERSPEECH, 2024)

Improving Multilingual ASR Robustness to Errors in Language Input. - Brady Houston; Omid Sadjadi; Zejiang Hou; Srikanth Vishnubhotla; Kyu J. Han (INTERSPEECH, 2024)

SpeechGuard: Exploring the Adversarial Robustness of Multimodal 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; et al. (CoRR, 2024)

Hyper-adapter for Parameter-Efficient Multilingual ASR Adaptation. - Zejiang Hou; Daniel Garcia-Romero; Kyu J. Han (ICASSP, 2025)

Masked Image Pretraining on Language Assisted Representation. - Zejiang Hou; Sun-Yuan Kung (ICASSP, 2025)

Zero-resource Speech Translation and Recognition with LLMs. - Karel Mundnich; Xing Niu 001; Prashant Mathur; Srikanth Ronanki; Brady Houston; Veera Raghavendra Elluru; Nilaksh Das; Zejiang Hou; Goeric Huybrechts; Anshu Bhatia; Daniel Garcia-Romero; Kyu J. Han; et al. (ICASSP, 2025)

Contextual ASR with Retrieval Augmented Large Language Model. - Cihan Xiao; Zejiang Hou; Daniel Garcia-Romero; Kyu J. Han (ICASSP, 2025)