Zejiang Hou - RankMe

36 papers A* 2A 5B 3C 1Misc 8Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Contextual ASR with Retrieval Augmented Large Language Model. ICASSP Cihan Xiao, Zejiang Hou, Daniel Garcia-Romero, Kyu J. Han
2025	Misc	`conf`	Hyper-adapter for Parameter-Efficient Multilingual ASR Adaptation. ICASSP Zejiang Hou, Daniel Garcia-Romero, Kyu J. Han
2025	Misc	`conf`	Masked Image Pretraining on Language Assisted Representation. ICASSP Zejiang Hou, Sun-Yuan Kung
2025	Misc	`conf`	Zero-resource Speech Translation and Recognition with LLMs. ICASSP 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
2024	A	`conf`	Improving Multilingual ASR Robustness to Errors in Language Input. INTERSPEECH Brady Houston, Omid Sadjadi, Zejiang Hou, Srikanth Vishnubhotla, Kyu J. Han
2024	A	`conf`	Revisiting Convolution-free Transformer for Speech Recognition. INTERSPEECH Zejiang Hou, Goeric Huybrechts, Anshu Bhatia, Daniel Garcia-Romero, Kyu J. Han, Katrin Kirchhoff
2024	—	`conf`	SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models. ACL (Findings) 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	J	`jnl`	SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models. CoRR 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	J	`jnl`	Zero-resource Speech Translation and Recognition with LLMs. CoRR 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
2023	J	`jnl`	Semi-Supervised Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. J. Signal Process. Syst. Zejiang Hou, Sun-Yuan Kung
2022	A*	`conf`	CHEX: CHannel EXploration for CNN Model Compression. CVPR Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung
2022	J	`jnl`	CHEX: CHannel EXploration for CNN Model Compression. CoRR Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung
2022	A*	`conf`	Effective Model Sparsification by Scheduled Grow-and-Prune Methods. ICLR Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie
2022	J	`jnl`	MILAN: Masked Image Pretraining on Language Assisted Representation. CoRR Zejiang Hou, Fei Sun, Yen-Kuang Chen, Yuan Xie, Sun-Yuan Kung
2022	J	`jnl`	Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation. CoRR Zejiang Hou, Julian Salazar, George Polovets
2022	J	`jnl`	Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation. Trans. Assoc. Comput. Linguistics Zejiang Hou, Julian Salazar, George Polovets
2022	A	`conf`	Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution. WACV Zejiang Hou, Sun-Yuan Kung
2022	A	`conf`	Multi-Dimensional Model Compression of Vision Transformer. ICME Zejiang Hou, Sun-Yuan Kung
2022	J	`jnl`	Multi-Dimensional Model Compression of Vision Transformer. CoRR Zejiang Hou, Sun-Yuan Kung
2022	—	`conf`	Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search. CVPR Workshops Zejiang Hou, Sun-Yuan Kung
2022	—	`conf`	Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective. CVPR Workshops Zejiang Hou, Sun-Yuan Kung
2021	J	`jnl`	Effective Model Sparsification by Scheduled Grow-and-Prune Methods. CoRR Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie
2021	—	`conf`	Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. MLSP Zejiang Hou, Sun-Yuan Kung
2021	J	`jnl`	Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis. CoRR Zejiang Hou, Sun-Yuan Kung
2021	Misc	`conf`	Meta-Learning with Attention for Improved Few-Shot Learning. ICASSP Zejiang Hou, Anwar Walid, Sun-Yuan Kung
2021	A	`conf`	Parameter Efficient Dynamic Convolution via Tensor Decomposition. BMVC Zejiang Hou, Sun-Yuan Kung
2020	B	`conf`	A Discriminant Information Approach to Deep Neural Network Pruning. ICPR Zejiang Hou, Sun-Yuan Kung
2020	J	`jnl`	A Feature-map Discriminant Perspective for Pruning Deep Neural Networks. CoRR Zejiang Hou, Sun-Yuan Kung
2020	J	`jnl`	Augment deep BP-parameter learning with local XAI-structural learning. Commun. Inf. Syst. Sun-Yuan Kung, Zejiang Hou
2020	Misc	`conf`	Efficient Image Super Resolution Via Channel Discriminative Deep Neural Network Pruning. ICASSP Zejiang Hou, Sun-Yuan Kung
2020	B	`conf`	Hierarchically Aggregated Residual Transformation for Single Image Super Resolution. ICPR Zejiang Hou, Sun-Yuan Kung
2020	Misc	`conf`	Scalable Kernel Learning Via the Discriminant Information. ICASSP Mert Al, Zejiang Hou, Sun-Yuan Kung
2019	B	`conf`	A Kernel Discriminant Information Approach to Non-linear Feature Selection. IJCNN Zejiang Hou, Sun-Yuan Kung
2019	Misc	`conf`	Methodical Design and Trimming of Deep Learning Networks: Enhancing External BP Learning with Internal Omnipresent-supervision Training Paradigm. ICASSP Sun-Yuan Kung, Zejiang Hou, Yuchen Liu
2019	J	`jnl`	Scalable Kernel Learning via the Discriminant Information. CoRR Mert Al, Zejiang Hou, Sun-Yuan Kung
2017	C	`conf`	Distributed optimal power flow: An Augmented Lagrangian-Sequential Quadratic Programming approach. ISCAS Zejiang Hou, Ho-Chun Wu, Shing-Chow Chan