Chao-Han Huck Yang

research

∙ 09/13/2023

Can Whisper perform speech-based in-context learning

This paper investigates the in-context learning abilities of the Whisper...

0 Siyin Wang, et al. ∙

research

∙ 06/01/2023

How to Estimate Model Transferability of Pre-Trained Speech Models?

In this work, we introduce a “score-based assessment” framework for esti...

0 Zih-Ching Chen, et al. ∙

research

∙ 06/01/2023

A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models

We propose a multi-dimensional structured state space (S4) approach to s...

0 Pin-Jui Ku, et al. ∙

research

∙ 05/19/2023

Differentially Private Adapters for Parameter Efficient Acoustic Modeling

In this work, we devise a parameter-efficient solution to bring differen...

0 Chun-Wei Ho, et al. ∙

research

∙ 05/18/2023

Parameter-Efficient Learning for Text-to-Speech Accent Adaptation

This paper presents a parameter-efficient learning (PEL) to develop a lo...

0 Li-Jen Yang, et al. ∙

research

∙ 05/18/2023

A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model

In this work, we explore Parameter-Efficient-Learning (PEL) techniques t...

0 Srijith Radhakrishnan, et al. ∙

research

∙ 01/19/2023

From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition

In this work, we propose a new parameter-efficient learning framework ba...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 11/02/2022

Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming

Transfer learning (TL) approaches have shown promising results when hand...

0 Yun-Ning Hung, et al. ∙

research

∙ 11/02/2022

A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition

We propose a quantum kernel learning (QKL) framework to address the inhe...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 11/02/2022

Inference and Denoise: Causal Inference-based Neural Speech Enhancement

This study addresses the speech enhancement (SE) task within the causal ...

0 Tsun-An Hsieh, et al. ∙

research

∙ 11/02/2022

Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise

Recently, quantum classifiers have been known to be vulnerable to advers...

0 Jhih-Cing Huang, et al. ∙

research

∙ 10/12/2022

An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition

We propose an ensemble learning framework with Poisson sub-sampling to e...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 10/11/2022

An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition

Differential privacy (DP) is one data protection avenue to safeguard use...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 06/08/2022

Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression

The noisy intermediate-scale quantum (NISQ) devices enable the implement...

0 Jun Qi, et al. ∙

research

∙ 03/29/2022

Treatment Learning Transformer for Noisy Image Classification

Current top-notch deep learning (DL) based vision models are primarily b...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 03/11/2022

Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing

This work focuses on designing low complexity hybrid tensor networks by ...

13 Jun Qi, et al. ∙

research

∙ 03/07/2022

A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification

In this paper, we propose two techniques, namely joint modeling and data...

10 Qing Wang, et al. ∙

research

∙ 02/17/2022

When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing

The rapid development of quantum computing has demonstrated many unique ...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 02/17/2022

Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition

In this work, we aim to enhance the system robustness of end-to-end auto...

1 Chao-Han Huck Yang, et al. ∙

research

∙ 02/17/2022

A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning

Audio-only-based wake word spotting (WWS) is challenging under noisy con...

2 Hengshun Zhou, et al. ∙

research

∙ 11/29/2021

Pessimistic Model Selection for Offline Deep Reinforcement Learning

Deep Reinforcement Learning (DRL) has demonstrated great potentials in s...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 10/16/2021

A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer

We propose a variational Bayesian (VB) approach to learning distribution...

0 Hu Hu, et al. ∙

research

∙ 10/08/2021

A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming

In this study, we propose a novel adversarial reprogramming (AR) approac...

0 Hao Yen, et al. ∙

research

∙ 10/06/2021

QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks

The advent of noisy intermediate-scale quantum (NISQ) computers raises a...

0 Jun Qi, et al. ∙

research

∙ 07/03/2021

A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification

We propose a novel neural model compression strategy combining data augm...

7 Chao-Han Huck Yang, et al. ∙

research

∙ 06/17/2021

Voice2Series: Reprogramming Acoustic Models for Time Series Classification

Learning to classify time series with limited data is a practical yet ch...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 05/30/2021

Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning"

Automatically generating medical reports for retinal images is one of th...

0 Jia-Hong Huang, et al. ∙

research

∙ 04/02/2021

PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification

We propose using an adversarial autoencoder (AAE) to replace generative ...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 02/18/2021

Causal Inference Q-Network: Toward Resilient Reinforcement Learning

Deep reinforcement learning (DRL) has demonstrated impressive performanc...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 11/23/2020

Multi-task Language Modeling for Improving Speech Recognition of Rare Words

End-to-end automatic speech recognition (ASR) systems are increasingly p...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 11/03/2020

A Two-Stage Approach to Device-Robust Acoustic Scene Classification

To improve device robustness, a highly desirable key feature of a compet...

7 Hu Hu, et al. ∙

research

∙ 11/01/2020

DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation

In this work, we propose an AI-based method that intends to improve the ...

0 Jia-Hong Huang, et al. ∙

research

∙ 10/26/2020

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

We propose a novel decentralized feature extraction approach in federate...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 07/25/2020

Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement

This paper investigates different trade-offs between the number of model...

0 Jun Qi, et al. ∙

research

∙ 07/17/2020

Wavelet Channel Attention Module with a Fusion Network for Single Image Deraining

Single image deraining is a crucial problem because rain severely degene...

0 Hao-Hsiang Yang, et al. ∙

research

∙ 07/16/2020

Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation

In this technical report, we present a joint effort of four groups, name...

0 Hu Hu, et al. ∙

research

∙ 03/31/2020

Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement

Recent studies have highlighted adversarial examples as ubiquitous threa...

0 Chao-Han Huck Yang, et al. ∙

research

∙ 03/31/2020

Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazing

Single image dehazing is the ill-posed two-dimensional signal reconstruc...

0 Hao-Hsiang Yang, et al. ∙

research

∙ 02/20/2020

Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning

Recent deep neural networks based techniques, especially those equipped ...

15 Chao-Han Huck Yang, et al. ∙

research

∙ 02/03/2020

Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train Network

We propose a tensor-to-vector regression approach to multi-channel speec...

0 Jun Qi, et al. ∙

research

∙ 02/03/2020

Evolving Neural Networks through a Reverse Encoding Tree

NeuroEvolution is one of the most competitive evolutionary learning fram...

19 Haoling Zhang, et al. ∙

research

∙ 01/27/2020

Submodular Rank Aggregation on Score-based Permutations for Distributed Automatic Speech Recognition

Distributed automatic speech recognition (ASR) requires to aggregate out...

0 Jun Qi, et al. ∙

research

∙ 08/13/2019

Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization

Applying Machine Learning (ML) techniques to design and optimize compute...

4 Sheng-Chun Kao, et al. ∙

research

∙ 02/11/2019

Synthesizing New Retinal Symptom Images by Multiple Generative Models

Age-Related Macular Degeneration (AMD) is an asymptomatic retinal diseas...

22 Yi-Chieh Liu, et al. ∙

research

∙ 02/09/2019

When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks

Discovering and exploiting the causality in deep neural networks (DNNs) ...

14 Chao-Han Huck Yang, et al. ∙

research

∙ 02/09/2019

When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks

Discovering and exploiting the causality in deep neural networks (DNNs) ...

0 Chao-Han Huck Yang, et al. ∙

Chao-Han Huck Yang

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