C. Yang

Tara N. Sainath, S. M. Siniscalchi, Bo Li, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise

S. Kuo, C. Yang, Pin-Yu Chen, 2022, ArXiv.

Variational Quantum Circuits for Deep Reinforcement Learning

Chao-Han Huck Yang, Xiaoli Ma, Pin-Yu Chen, 2019, IEEE Access.

Training a Resilient Q-network against Observational Interference

Chao-Han Huck Yang, I-Te Danny Hung, Pin-Yu Chen, 2021, AAAI.

Causal Inference Q-Network: Toward Resilient Reinforcement Learning

I-Te Danny Hung, Pin-Yu Chen, Yi Ouyang, 2021, ArXiv.

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

Samuel Yen-Chi Chen, C. Yang, Jun Qi, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Treatment Learning Causal Transformer for Noisy Image Classification

I-Te Danny Hung, C. Yang, Pin-Yu Chen, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Treatment Learning Transformer for Noisy Image Classification

I-Te Danny Hung, C. Yang, Pin-Yu Chen, 2022, ArXiv.

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

Chin-Hui Lee, Chao-Han Huck Yang, Sabato Marco Siniscalchi, 2021, Interspeech.

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

Chin-Hui Lee, C. Yang, Jun Qi, 2022, 2022 13th International Symposium on Chinese Spoken Language Processing (ISCSLP).

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

A. Stolcke, I. Bulyko, C. Yang, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Yu Tsao, Chao-Han Huck Yang, Sabato Marco Siniscalchi, 2021, ArXiv.

Voice2Series: Reprogramming Acoustic Models for Time Series Classification pdf

Chao-Han Huck Yang, Pin-Yu Chen, Yun-Yun Tsai, 2021, ICML.

Robust Unsupervised Multi-Object Tracking In Noisy Environments pdf

Tomokazu Murakami, Tomoaki Yoshinaga, Quan Kong, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

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

Sabato Marco Siniscalchi, Samuel Yen-Chi Chen, Chin-Hui Lee, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Chin-Hui Lee, Pin-Yu Chen, Xiaoli Ma, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Chao-Han Huck Yang, Jun Qi, Javier Tejedor, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming

Chao-Han Huck Yang, C. Yang, Alexander Lerch, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming

Chao-Han Huck Yang, Chao-Han Huck Yang, C. Yang, 2022, ArXiv.

NEURAL MODEL REPROGRAMMING WITH SIMILARITY BASED MAPPING FOR LOW-RESOURCE SPOKEN COMMAND CLASSIFICATION

Sabato Marco Siniscalchi, C. Yang, Hu Hu, 2022 .

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

Marcel Worring, Kang Wang, Chao-Han Huck Yang, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Causalainer: Causal Explainer for Automatic Video Summarization

Chao-Han Huck Yang, M. Worring, C. Yang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Non-local Attention Improves Description Generation for Retinal Images

M. Worring, J. Tegnér, Zenglin Shi, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Synthesizing New Retinal Symptom Images by Multiple Generative Models pdf

Jesper Tegnér, Yichang James Tsai, Yi-Chieh Liu, 2018, ACCV Workshops.

Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model

Chao-Han Huck Yang, Yi-Chieh Liu, Jesper Tegnér, 2018, ACCV Workshops.

A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases pdf

Jesper Tegnér, Chao-Han Huck Yang, Jia-Hong Huang, 2018, ArXiv.

Pessimistic Model Selection for Offline Deep Reinforcement Learning

Chao-Han Huck Yang, Yifan Cui, Zhengling Qi, 2021, UAI.

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

Chao-Han Huck Yang, C. Yang, Javier Tejedor, 2022, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning pdf

Hector Zenil, Jesper Tegnér, David Gomez-Cabrero, 2018, ArXiv.

Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics pdf

Jesper Tegnér, Chao-Han Huck Yang, Rise Ooi, 2018, ArXiv.

A Study on Joint Modeling and Data Augmentation of Multi-Modalities for Audio-Visual Scene Classification

Sabato Marco Siniscalchi, Chin-Hui Lee, Jun Du, 2022, 2022 13th International Symposium on Chinese Spoken Language Processing (ISCSLP).

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

Chin-Hui Lee, Chao-Han Huck Yang, Li Chai, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network

Chin-Hui Lee, Chao-Han Huck Yang, Sabato Marco Siniscalchi, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Wavelet Channel Attention Module With A Fusion Network For Single Image Deraining

Yu-Chiang Frank Wang, Chao-Han Huck Yang, Hao-Hsiang Yang, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits

C. Yang, Min-Hsiu Hsieh, Jun Qi, 2023, ArXiv.

Attention Based Bidirectional Convolutional LSTM for High-Resolution Radio Tomographic Imaging

Chao-Han Huck Yang, Hongzhuang Wu, Songyong Liu, 2021, IEEE Transactions on Circuits and Systems II: Express Briefs.

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

Chin-Hui Lee, Chao-Han Huck Yang, Sabato Marco Siniscalchi, 2020, INTERSPEECH.

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

Xiaoli Ma, Chao-Han Huck Yang, Yi-Chieh Liu, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

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

Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Chin-Hui Lee, Xue Bai, Chao-Han Huck Yang, 2020, ArXiv.

Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding

Chao-Han Huck Yang, Yi-Chieh Liu, Min-Hung Chen, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Chin-Hui Lee, Jun Du, C. Yang, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning

Chin-Hui Lee, Xiaoli Ma, Chao-Han Huck Yang, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise

S. Kuo, C. Yang, Pin-Yu Chen, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Treatment Learning Causal Transformer for Noisy Image Classification

I-Te Danny Hung, C. Yang, Pin-Yu Chen, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).