Chao-Han Huck Yang

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 136

Top Venues

Publications

Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, Engsiong Chng
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. ICLR (2024)
Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, EnSiong Chng, Chao-Han Huck Yang
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition. CoRR (2024)
Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, EnSiong Chng
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. CoRR (2024)
Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Engsiong Chng, Chao-Han Huck Yang
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition. ICLR (2024)
Pin-Jui Ku, I-Fan Chen, Chao-Han Huck Yang, Anirudh Raju, Pranav Dheram, Pegah Ghahremani, Brian King, Jing Liu, Roger Ren, Phani Sankar Nidadavolu
Hot-Fixing Wake Word Recognition for End-to-End ASR Via Neural Model Reprogramming. ICASSP (2024)
Kevin Everson, Yile Gu, Chao-Han Huck Yang, Prashanth Gurunath Shivakumar, Guan-Ting Lin, Jari Kolehmainen, Ivan Bulyko, Ankur Gandhe, Shalini Ghosh, Wael Hamza, Hung-yi Lee, Ariya Rastrow, Andreas Stolcke
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks. CoRR (2024)
Kevin Everson, Yile Gu, Chao-Han Huck Yang, Prashanth Gurunath Shivakumar, Guan-Ting Lin, Jari Kolehmainen, Ivan Bulyko, Ankur Gandhe, Shalini Ghosh, Wael Hamza, Hung-Yi Lee, Ariya Rastrow, Andreas Stolcke
Towards ASR Robust Spoken Language Understanding Through in-Context Learning with Word Confusion Networks. ICASSP (2024)
Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities. CoRR (2024)
Yusuke Hirota, Ryo Hachiuma, Chao-Han Huck Yang, Yuta Nakashima
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment. CoRR (2024)
Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Dong Zhang, Zhehuai Chen, Eng Siong Chng
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators. CoRR (2024)
Yu Yu, Chao-Han Huck Yang, Tuan Dinh, Sungho Ryu, Jari Kolehmainen, Roger Ren, Denis Filimonov, Prashanth Gurunath Shivakumar, Ankur Gandhe, Ariya Rastrow, Jia Xu, Ivan Bulyko, Andreas Stolcke
Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition. CoRR (2024)
Guan-Ting Lin, Prashanth Gurunath Shivakumar, Ankur Gandhe, Chao-Han Huck Yang, Yile Gu, Shalini Ghosh, Andreas Stolcke, Hung-Yi Lee, Ivan Bulyko
Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue. ICASSP (2024)
Xianyan Fu, Xiao-Lei Zhang, Chao-Han Huck Yang, Jun Qi
Exploiting A Quantum Multiple Kernel Learning Approach For Low-Resource Spoken Command Recognition. ICASSP (2024)
Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang
Can Whisper Perform Speech-Based In-Context Learning? ICASSP (2024)
Rong Chao, Wen-Huang Cheng, Moreno La Quatra, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Szu-Wei Fu, Yu Tsao
An Investigation of Incorporating Mamba for Speech Enhancement. CoRR (2024)
Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models. CoRR (2024)
Rithik Sachdev, Zhong-Qiu Wang, Chao-Han Huck Yang
Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction. CoRR (2024)
Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Dong Zhang, Zhehuai Chen, EngSiong Chng
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators. ACL (1) (2024)
Guan-Ting Lin, Prashanth Gurunath Shivakumar, Ankur Gandhe, Chao-Han Huck Yang, Yile Gu, Shalini Ghosh, Andreas Stolcke, Hung-yi Lee, Ivan Bulyko
Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue. CoRR (2023)
Tsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao
Inference and Denoise: Causal Inference-Based Neural Speech Enhancement. MLSP (2023)
Chun-Wei Ho, Chao-Han Huck Yang, Sabato Marco Siniscalchi
Differentially Private Adapters for Parameter Efficient Acoustic Modeling. INTERSPEECH (2023)
Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Rohit Kumar, Narsis A. Kiani, David Gomez-Cabrero, Jesper Tegnér
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition. EMNLP (2023)
Pin-Jui Ku, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models. INTERSPEECH (2023)
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
Causalainer: Causal Explainer for Automatic Video Summarization. CoRR (2023)
Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Rohit Kumar, Narsis A. Kiani, David Gomez-Cabrero, Jesper N. Tegnér
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition. CoRR (2023)
Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke
Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting. ASRU (2023)
Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Tara N. Sainath, Sabato Marco Siniscalchi, Chin-Hui Lee
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. ICASSP (2023)
Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Chng Eng Siong
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models. NeurIPS (2023)
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring
Causal Video Summarizer for Video Exploration. CoRR (2023)
Yu Yu, Chao-Han Huck Yang, Jari Kolehmainen, Prashanth Gurunath Shivakumar, Yile Gu, Sungho Ryu Roger Ren, Qi Luo, Aditya Gourav, I-Fan Chen, Yi-Chieh Liu, Tuan Dinh, Ankur Gandhe, Denis Filimonov, Shalini Ghosh, Andreas Stolcke, Ariya Rastrow, Ivan Bulyko
Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. ASRU (2023)
Chun-Wei Ho, Chao-Han Huck Yang, Sabato Marco Siniscalchi
Differentially Private Adapters for Parameter Efficient Acoustic Modeling. CoRR (2023)
Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath
How to Estimate Model Transferability of Pre-Trained Speech Models? INTERSPEECH (2023)
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor
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. 31 (2023)
Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen
Pessimistic Model Selection for Offline Deep Reinforcement Learning. UAI (2023)
Li-Jen Yang, Chao-Han Huck Yang, Jen-Tzung Chien
Parameter-Efficient Learning for Text-to-Speech Accent Adaptation. CoRR (2023)
Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Eng Siong Chng
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models. CoRR (2023)
Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
Treatment Learning Causal Transformer for Noisy Image Classification. WACV (2023)
Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke
Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Prompting. CoRR (2023)
Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Narsis Aftab Kiani, David Gomez-Cabrero, Jesper N. Tegnér
A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model. CoRR (2023)
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh
Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits. CoRR (2023)
Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch
Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming. ICASSP (2023)
Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Narsis A. Kiani, David Gomez-Cabrero, Jesper N. Tegnér
A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model. INTERSPEECH (2023)
Pin-Jui Ku, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models. CoRR (2023)
Anirudh S. Sundar, Chao-Han Huck Yang, David M. Chan, Shalini Ghosh, Venkatesh Ravichandran, Phani Sankar Nidadavolu
Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification. CoRR (2023)
Chen Chen, Chao-Han Huck Yang, Kai Li, Yuchen Hu, Pin-Jui Ku, Eng Siong Chng
A Neural State-Space Model Approach to Efficient Speech Separation. CoRR (2023)
Li-Jen Yang, Chao-Han Huck Yang, Jen-Tzung Chien
Parameter-Efficient Learning for Text-to-Speech Accent Adaptation. INTERSPEECH (2023)
Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Hexin Liu, Sabato Marco Siniscalchi, Eng Siong Chng
Generative error correction for code-switching speech recognition using large language models. CoRR (2023)
Yu Yu, Chao-Han Huck Yang, Jari Kolehmainen, Prashanth Gurunath Shivakumar, Yile Gu, Sungho Ryu, Roger Ren, Qi Luo, Aditya Gourav, I-Fan Chen, Yi-Chieh Liu, Tuan Dinh, Ankur Gandhe, Denis Filimonov, Shalini Ghosh, Andreas Stolcke, Ariya Rastrow, Ivan Bulyko
Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. CoRR (2023)
Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. ICASSP (2023)
Chang Wang, Jun Du, Hang Chen, Ruoyu Wang, Chao-Han Huck Yang, Jiangjiang Zhao, Yuling Ren, Qinglong Li, Chin-Hui Lee
Enhancing Privacy Preservation with Quantum Computing for Word-Level Audio-Visual Speech Recognition. APSIPA ASC (2023)
Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang
Can Whisper perform speech-based in-context learning. CoRR (2023)
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
Conditional Modeling Based Automatic Video Summarization. CoRR (2023)
Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo
Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise. ICASSP (2023)
Hao Yen, Pin-Jui Ku, Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Yu Tsao
Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition. INTERSPEECH (2023)
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
Causalainer: Causal Explainer for Automatic Video Summarization. CVPR Workshops (2023)
Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. CoRR (2023)
Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath
How to Estimate Model Transferability of Pre-Trained Speech Models? CoRR (2023)
Chen Chen, Chao-Han Huck Yang, Kai Li, Yuchen Hu, Pin-Jui Ku, Eng Siong Chng
A Neural State-Space Modeling Approach to Efficient Speech Separation. INTERSPEECH (2023)
Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
Treatment Learning Transformer for Noisy Image Classification. CoRR (2022)
Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen
Training a Resilient Q-network against Observational Interference. AAAI (2022)
Chao-Han Huck Yang, Zeeshan Ahmed, Yile Gu, Joseph Szurley, Roger Ren, Linda Liu, Andreas Stolcke, Ivan Bulyko
Mitigating Closed-Model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition. ICASSP (2022)
Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch
Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming. CoRR (2022)
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. CoRR (2022)
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring
Causal Video Summarizer for Video Exploration. ICME (2022)
Qing Wang, Jun Du, Siyuan Zheng, Yunqing Li, Yajian Wang, Yuzhong Wu, Hu Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Yannan Wang, Chin-Hui Lee
A Study on Joint Modeling and Data Augmentation of Multi-Modalities for Audio-Visual Scene Classification. ISCSLP (2022)
Chao-Han Huck Yang, I-Fan Chen, Andreas Stolcke, Sabato Marco Siniscalchi, Chin-Hui Lee
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition. CoRR (2022)
Chao-Han Huck Yang, Zeeshan Ahmed, Yile Gu, Joseph Szurley, Roger Ren, Linda Liu, Andreas Stolcke, Ivan Bulyko
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition. CoRR (2022)
Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegnér, Marcel Worring
Non-local Attention Improves Description Generation for Retinal Images. WACV (2022)
Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Tara N. Sainath, Sabato Marco Siniscalchi, Chin-Hui Lee
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. CoRR (2022)
Chao-Han Huck Yang, Jun Qi, Sabato Marco Siniscalchi, Chin-Hui Lee
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition. ISCSLP (2022)
Chao-Han Huck Yang, Jun Qi, Sabato Marco Siniscalchi, Chin-Hui Lee
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition. CoRR (2022)
Chao-Han Huck Yang, I-Fan Chen, Andreas Stolcke, Sabato Marco Siniscalchi, Chin-Hui Lee
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition. SLT (2022)
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression. CoRR (2022)
Tsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao
Inference and Denoise: Causal Inference-based Neural Speech Enhancement. CoRR (2022)
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing. CoRR (2022)
Hengshun Zhou, Jun Du, Chao-Han Huck Yang, Shifu Xiong, Chin-Hui Lee
A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning. ICASSP (2022)
Hengshun Zhou, Jun Du, Chao-Han Huck Yang, Shifu Xiong, Chin-Hui Lee
A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning. CoRR (2022)
Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise. CoRR (2022)
Qing Wang, Jun Du, Siyuan Zheng, Yunqing Li, Yajian Wang, Yuzhong Wu, Hu Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Yannan Wang, Chin-Hui Lee
A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification. CoRR (2022)
Hu Hu, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Chin-Hui Lee
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer. ICASSP (2022)
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. ICASSP (2022)
Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification. CoRR (2021)
Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen
Voice2Series: Reprogramming Acoustic Models for Time Series Classification. ICML (2021)
Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnér, Marcel Worring
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. WACV (2021)
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. ICASSP (2021)
Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Marcel Worring
Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning". CoRR (2021)
Chao-Han Huck Yang, Mohit Chhabra, Y. C. Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami
Robust Unsupervised Multi-Object Tracking In Noisy Environments. ICIP (2021)
Hao Yen, Pin-Jui Ku, Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Yu Tsao
A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming. CoRR (2021)
Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Marcel Worring
Deep Context-Encoding Network For Retinal Image Captioning. ICIP (2021)
Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen
Causal Inference Q-Network: Toward Resilient Reinforcement Learning. CoRR (2021)
Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification. Interspeech (2021)
Hu Hu, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Chin-Hui Lee
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer. CoRR (2021)
Hongzhuang Wu, Xiaoli Ma, Chao-Han Huck Yang, Songyong Liu
Attention Based Bidirectional Convolutional LSTM for High-Resolution Radio Tomographic Imaging. IEEE Trans. Circuits Syst. II Express Briefs 68 (4) (2021)
Chao-Han Huck Yang, Linda Liu, Ankur Gandhe, Yile Gu, Anirudh Raju, Denis Filimonov, Ivan Bulyko
Multi-Task Language Modeling for Improving Speech Recognition of Rare Words. ASRU (2021)
Chao-Han Huck Yang, Mohit Chhabra, Y.-C. Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami
Robust Unsupervised Multi-Object Tracking in Noisy Environments. CoRR (2021)
Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen
Pessimistic Model Selection for Offline Deep Reinforcement Learning. CoRR (2021)
Hu Hu, Chao-Han Huck Yang, Xianjun Xia, Xue Bai, Xin Tang, Yajian Wang, Shutong Niu, Li Chai, Juanjuan Li, Hongning Zhu, Feng Bao, Yuanjun Zhao, Sabato Marco Siniscalchi, Yannan Wang, Jun Du, Chin-Hui Lee
A Two-Stage Approach to Device-Robust Acoustic Scene Classification. ICASSP (2021)
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks. CoRR (2021)
Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Qing Wang, Yuyang Wang, Xianjun Xia, Yuanjun Zhao, Yuzhong Wu, Yannan Wang, Jun Du, Chin-Hui Lee
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification. CoRR (2021)
Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen
Voice2Series: Reprogramming Acoustic Models for Time Series Classification. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chao-Han Huck Yang