Chao-Han Huck Yang
Orcid: 0000-0003-2879-8811
According to our database1,
Chao-Han Huck Yang
authored at least 79 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators.
CoRR, 2024
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition.
CoRR, 2024
Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition.
CoRR, 2024
CoRR, 2024
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks.
CoRR, 2024
2023
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification.
CoRR, 2023
Generative error correction for code-switching speech recognition using large language models.
CoRR, 2023
Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits.
CoRR, 2023
A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models.
CoRR, 2023
CoRR, 2023
A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise.
Proceedings of the IEEE International Conference on Acoustics, 2023
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023
Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023
Enhancing Privacy Preservation with Quantum Computing for Word-Level Audio-Visual Speech Recognition.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023
2022
CoRR, 2022
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression.
CoRR, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition.
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022
A Study on Joint Modeling and Data Augmentation of Multi-Modalities for Audio-Visual Scene Classification.
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning.
Proceedings of the IEEE International Conference on Acoustics, 2022
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing.
Proceedings of the IEEE International Conference on Acoustics, 2022
Mitigating Closed-Model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Attention Based Bidirectional Convolutional LSTM for High-Resolution Radio Tomographic Imaging.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming.
CoRR, 2021
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification.
CoRR, 2021
CoRR, 2021
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
2020
Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation.
CoRR, 2020
Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement.
Proceedings of the Interspeech 2020, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Y-Net: Multi-Scale Feature Aggregation Network With Wavelet Structure Similarity Loss Function For Single Image Dehazing.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Submodular Rank Aggregation on Score-Based Permutations for Distributed Automatic Speech Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks.
CoRR, 2019
Reinforcement learning based interconnection routing for adaptive traffic optimization.
Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-Chip, 2019
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning.
CoRR, 2018
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model.
CoRR, 2018
Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics.
CoRR, 2018
CoRR, 2018
Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018