Synthesizing New Retinal Symptom Images by Multiple Generative Models. - Yi-Chieh Liu; Hao-Hsiang Yang; Chao-Han Huck Yang; Jia-Hong Huang; Meng Tian 002; Hiromasa Morikawa; Yi-Chang James Tsai; Jesper Tegnér (ACCV Workshops, 2018)

Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. - Chao-Han Huck Yang; Fangyu Liu 001; Jia-Hong Huang; Meng Tian 002; I-Hung Lin; Yi-Chieh Liu; Hiromasa Morikawa; Hao-Hsiang Yang; Jesper Tegnér (ACCV Workshops, 2018)

A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases. - Chao-Han Huck Yang; Jia-Hong Huang; Fangyu Liu 001; Fang-Yi Chiu; Mengya Gao; Weifeng Lyu; I-Hung Lin; Jesper Tegnér (CoRR, 2018)

Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics. - Chao-Han Huck Yang; Rise Ooi; Tom Hiscock; Víctor M. Eguíluz; Jesper Tegnér (CoRR, 2018)

Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. - Chao-Han Huck Yang; Fangyu Liu 001; Jia-Hong Huang; Meng Tian 002; Yi-Chieh Liu; I-Hung Lin; Jesper Tegnér (CoRR, 2018)

Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning. - Rise Ooi; Chao-Han Huck Yang; Pin-Yu Chen; Víctor M. Eguíluz; Narsis Aftab Kiani; Hector Zenil; David Gomez-Cabrero; Jesper Tegnér (CoRR, 2018)

When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks. - Chao-Han Huck Yang; Yi-Chieh Liu; Pin-Yu Chen; Xiaoli Ma; Yi-Chang James Tsai (ICIP, 2019)

Reinforcement learning based interconnection routing for adaptive traffic optimization. - Sheng-Chun Kao; Chao-Han Huck Yang; Pin-Yu Chen; Xiaoli Ma; Tushar Krishna (NOCS, 2019)

When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks. - Chao-Han Huck Yang; Yi-Chieh Liu; Pin-Yu Chen; Xiaoli Ma; Yi-Chang James Tsai (CoRR, 2019)

Evolving Neural Networks through a Reverse Encoding Tree. - Haoling Zhang; Chao-Han Huck Yang; Hector Zenil; Narsis Aftab Kiani; Yue Shen; Jesper N. Tegnér (CEC, 2020)

Convolutional Neural Network Based Radio Tomographic Imaging. - Hongzhuang Wu; Xiaoli Ma; Chao-Han Huck Yang; Songyong Liu (CISS, 2020)

Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. - Yi-Chieh Liu; Yung-An Hsieh; Min-Hung Chen; Chao-Han Huck Yang; Jesper Tegnér; Yi-Chang James Tsai (ICASSP, 2020)

Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network. - Jun Qi 002; Hu Hu; Yannan Wang; Chao-Han Huck Yang; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2020)

Submodular Rank Aggregation on Score-Based Permutations for Distributed Automatic Speech Recognition. - Jun Qi 002; Chao-Han Huck Yang; Javier Tejedor (ICASSP, 2020)

Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement. - Chao-Han Huck Yang; Jun Qi 002; Pin-Yu Chen; Xiaoli Ma; Chin-Hui Lee 001 (ICASSP, 2020)

Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning. - Chao-Han Huck Yang; Jun Qi 002; Pin-Yu Chen; Yi Ouyang; I-Te Danny Hung; Chin-Hui Lee 001; Xiaoli Ma (ICASSP, 2020)

Y-Net: Multi-Scale Feature Aggregation Network With Wavelet Structure Similarity Loss Function For Single Image Dehazing. - Hao-Hsiang Yang; Chao-Han Huck Yang; Yi-Chang James Tsai (ICASSP, 2020)

Wavelet Channel Attention Module With A Fusion Network For Single Image Deraining. - Hao-Hsiang Yang; Chao-Han Huck Yang; Yu-Chiang Frank Wang (ICIP, 2020)

Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement. - Jun Qi 002; Hu Hu; Yannan Wang; Chao-Han Huck Yang; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (INTERSPEECH, 2020)

Variational Quantum Circuits for Deep Reinforcement Learning. - Samuel Yen-Chi Chen; Chao-Han Huck Yang; Jun Qi 002; Pin-Yu Chen; Xiaoli Ma; Hsi-Sheng Goan (IEEE Access, 2020)

Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation. - Hu Hu; Chao-Han Huck Yang; Xianjun Xia; Xue Bai; Xin Tang; Yajian Wang; Shutong Niu; Li Chai 002; Juanjuan Li; Hongning Zhu; Feng Bao; Yuanjun Zhao; et al. (CoRR, 2020)

Multi-Task Language Modeling for Improving Speech Recognition of Rare Words. - Chao-Han Huck Yang; Linda Liu; Ankur Gandhe; Yile Gu; Anirudh Raju; Denis Filimonov; Ivan Bulyko (ASRU, 2021)

A Two-Stage Approach to Device-Robust Acoustic Scene Classification. - Hu Hu; Chao-Han Huck Yang; Xianjun Xia; Xue Bai; Xin Tang; Yajian Wang; Shutong Niu; Li Chai 002; Juanjuan Li; Hongning Zhu; Feng Bao; Yuanjun Zhao; et al. (ICASSP, 2021)

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. - Chao-Han Huck Yang; Jun Qi 002; Samuel Yen-Chi Chen; Pin-Yu Chen; Sabato Marco Siniscalchi; Xiaoli Ma; Chin-Hui Lee 001 (ICASSP, 2021)

Deep Context-Encoding Network For Retinal Image Captioning. - Jia-Hong Huang; Ting-Wei Wu; Chao-Han Huck Yang; Marcel Worring (ICIP, 2021)

Robust Unsupervised Multi-Object Tracking In Noisy Environments. - Chao-Han Huck Yang; Mohit Chhabra; Yi-Chieh Liu; Quan Kong; Tomoaki Yoshinaga; Tomokazu Murakami (ICIP, 2021)

Voice2Series: Reprogramming Acoustic Models for Time Series Classification. - Chao-Han Huck Yang; Yun-Yun Tsai; Pin-Yu Chen (ICML, 2021)

PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification. - Chao-Han Huck Yang; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (Interspeech, 2021)

DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. - Jia-Hong Huang; Chao-Han Huck Yang; Fangyu Liu 001; Meng Tian 002; Yi-Chieh Liu; Ting-Wei Wu; I-Hung Lin; Kang Wang; Hiromasa Morikawa; Hernghua Chang; Jesper Tegnér; Marcel Worring (WACV, 2021)

Causal Inference Q-Network: Toward Resilient Reinforcement Learning. - Chao-Han Huck Yang; I-Te Danny Hung; Yi Ouyang; Pin-Yu Chen (CoRR, 2021)

Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning". - Jia-Hong Huang; Ting-Wei Wu; Chao-Han Huck Yang; Marcel Worring (CoRR, 2021)

A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification. - Chao-Han Huck Yang; Hu Hu; Sabato Marco Siniscalchi; Qing Wang 008; Yuyang Wang; Xianjun Xia; Yuanjun Zhao; Yuzhong Wu; Yannan Wang; Jun Du 002; Chin-Hui Lee 001 (CoRR, 2021)

QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks. - Jun Qi 002; Chao-Han Huck Yang; Pin-Yu Chen (CoRR, 2021)

A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming. - Hao Yen; Pin-Jui Ku; Chao-Han Huck Yang; Hu Hu; Sabato Marco Siniscalchi; Pin-Yu Chen; Yu Tsao 001 (CoRR, 2021)

Attention Based Bidirectional Convolutional LSTM for High-Resolution Radio Tomographic Imaging. - Hongzhuang Wu; Xiaoli Ma; Chao-Han Huck Yang; Songyong Liu (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Training a Resilient Q-network against Observational Interference. - Chao-Han Huck Yang; I-Te Danny Hung; Yi Ouyang; Pin-Yu Chen (AAAI, 2022)

A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer. - Hu Hu; Sabato Marco Siniscalchi; Chao-Han Huck Yang; Chin-Hui Lee 001 (ICASSP, 2022)

Mitigating Closed-Model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition. - Chao-Han Huck Yang; Zeeshan Ahmed; Yile Gu; Joseph Szurley; Roger Ren; Linda Liu; Andreas Stolcke; Ivan Bulyko (ICASSP, 2022)

When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. - Chao-Han Huck Yang; Jun Qi 002; Samuel Yen-Chi Chen; Yu Tsao 001; Pin-Yu Chen (ICASSP, 2022)

A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning. - Hengshun Zhou; Jun Du 002; Chao-Han Huck Yang; Shifu Xiong; Chin-Hui Lee 001 (ICASSP, 2022)

Causal Video Summarizer for Video Exploration. - Jia-Hong Huang; Chao-Han Huck Yang; Pin-Yu Chen; Andrew Brown; Marcel Worring (ICME, 2022)

A Study on Joint Modeling and Data Augmentation of Multi-Modalities for Audio-Visual Scene Classification. - Qing Wang 008; Jun Du 002; Siyuan Zheng; Yunqing Li; Yajian Wang; Yuzhong Wu; Hu Hu; Chao-Han Huck Yang; Sabato Marco Siniscalchi; Yannan Wang; Chin-Hui Lee 001 (ISCSLP, 2022)

An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition. - Chao-Han Huck Yang; Jun Qi 002; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ISCSLP, 2022)

An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition. - Chao-Han Huck Yang; I-Fan Chen; Andreas Stolcke; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (SLT, 2022)

Non-local Attention Improves Description Generation for Retinal Images. - Jia-Hong Huang; Ting-Wei Wu; Chao-Han Huck Yang; Zenglin Shi; I-Hung Lin; Jesper Tegnér; Marcel Worring (WACV, 2022)

Treatment Learning Transformer for Noisy Image Classification. - Chao-Han Huck Yang; I-Te Danny Hung; Yi-Chieh Liu; Pin-Yu Chen (CoRR, 2022)

Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression. - Jun Qi 002; Chao-Han Huck Yang; Pin-Yu Chen; Min-Hsiu Hsieh (CoRR, 2022)

Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming. - Yun-Ning Hung; Chao-Han Huck Yang; Pin-Yu Chen; Alexander Lerch 001 (CoRR, 2022)

Enhancing Privacy Preservation with Quantum Computing for Word-Level Audio-Visual Speech Recognition. - Chang Wang; Jun Du 002; Hang Chen 001; Ruoyu Wang 029; Chao-Han Huck Yang; Jiangjiang Zhao; Yuling Ren; Qinglong Li; Chin-Hui Lee 001 (APSIPA ASC, 2023)

Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting. - Chao-Han Huck Yang; Yile Gu; Yi-Chieh Liu; Shalini Ghosh; Ivan Bulyko; Andreas Stolcke (ASRU, 2023)

Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. - 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; et al. (ASRU, 2023)

Causalainer: Causal Explainer for Automatic Video Summarization. - Jia-Hong Huang; Chao-Han Huck Yang; Pin-Yu Chen; Min-Hung Chen; Marcel Worring (CVPR Workshops, 2023)

Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition. - Srijith Radhakrishnan; Chao-Han Huck Yang; Sumeer Ahmad Khan; Rohit Kumar; Narsis A. Kiani; David Gomez-Cabrero; Jesper Tegnér (EMNLP, 2023)

Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise. - Jhih-Cing Huang; Yu-Lin Tsai; Chao-Han Huck Yang; Cheng-Fang Su; Chia-Mu Yu; Pin-Yu Chen; Sy-Yen Kuo (ICASSP, 2023)

Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming. - Yun-Ning Hung; Chao-Han Huck Yang; Pin-Yu Chen; Alexander Lerch 001 (ICASSP, 2023)

From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. - Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Rohit Prabhavalkar; Tara N. Sainath; Trevor Strohman (ICASSP, 2023)

A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. - Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Tara N. Sainath; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2023)

A Neural State-Space Modeling Approach to Efficient Speech Separation. - Chen Chen 075; Chao-Han Huck Yang; Kai Li; Yuchen Hu; Pin-Jui Ku; Eng Siong Chng (INTERSPEECH, 2023)

How to Estimate Model Transferability of Pre-Trained Speech Models? - Zih-Ching Chen; Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Shuo-Yiin Chang; Rohit Prabhavalkar; Hung-yi Lee; Tara N. Sainath (INTERSPEECH, 2023)

Differentially Private Adapters for Parameter Efficient Acoustic Modeling. - Chun-Wei Ho; Chao-Han Huck Yang; Sabato Marco Siniscalchi (INTERSPEECH, 2023)

A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models. - Pin-Jui Ku; Chao-Han Huck Yang; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (INTERSPEECH, 2023)

A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model. - Srijith Radhakrishnan; Chao-Han Huck Yang; Sumeer Ahmad Khan; Narsis A. Kiani; David Gomez-Cabrero; Jesper N. Tegnér (INTERSPEECH, 2023)

Parameter-Efficient Learning for Text-to-Speech Accent Adaptation. - Li-Jen Yang; Chao-Han Huck Yang; Jen-Tzung Chien (INTERSPEECH, 2023)

Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition. - Hao Yen; Pin-Jui Ku; Chao-Han Huck Yang; Hu Hu; Sabato Marco Siniscalchi; Pin-Yu Chen; Yu Tsao 001 (INTERSPEECH, 2023)

Inference and Denoise: Causal Inference-Based Neural Speech Enhancement. - Tsun-An Hsieh; Chao-Han Huck Yang; Pin-Yu Chen; Sabato Marco Siniscalchi; Yu Tsao 001 (MLSP, 2023)

HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models. - Chen Chen 075; Yuchen Hu; Chao-Han Huck Yang; Sabato Marco Siniscalchi; Pin-Yu Chen; Chng Eng Siong (NeurIPS, 2023)

Pessimistic Model Selection for Offline Deep Reinforcement Learning. - Chao-Han Huck Yang; Zhengling Qi; Yifan Cui 001; Pin-Yu Chen (UAI, 2023)

Treatment Learning Causal Transformer for Noisy Image Classification. - Chao-Han Huck Yang; I-Te Danny Hung; Yi-Chieh Liu; Pin-Yu Chen (WACV, 2023)

A Neural State-Space Model Approach to Efficient Speech Separation. - Chen Chen 075; Chao-Han Huck Yang; Kai Li; Yuchen Hu; Pin-Jui Ku; Eng Siong Chng (CoRR, 2023)

Generative error correction for code-switching speech recognition using large language models. - Chen Chen 075; Yuchen Hu; Chao-Han Huck Yang; Hexin Liu; Sabato Marco Siniscalchi; Eng Siong Chng (CoRR, 2023)

Conditional Modeling Based Automatic Video Summarization. - Jia-Hong Huang; Chao-Han Huck Yang; Pin-Yu Chen; Min-Hung Chen; Marcel Worring (CoRR, 2023)

Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing. - Jun Qi 002; Chao-Han Huck Yang; Pin-Yu Chen; Javier Tejedor (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators. - Yuchen Hu; Chen Chen 075; Chao-Han Huck Yang; Ruizhe Li 001; Dong Zhang; Zhehuai Chen; Engsiong Chng (ACL (1), 2024)

From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment. - Yusuke Hirota; Ryo Hachiuma; Chao-Han Huck Yang; Yuta Nakashima (EMNLP, 2024)

FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model. - Yichen Lu; Jiaqi Song; Chao-Han Huck Yang; Shinji Watanabe 001 (EMNLP (Industry Track), 2024)

Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities. - Siyin Wang; Chao-Han Huck Yang; Ji Wu; Chao Zhang 031 (EMNLP, 2024)

Towards ASR Robust Spoken Language Understanding Through in-Context Learning with Word Confusion Networks. - 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; et al. (ICASSP, 2024)

Exploiting A Quantum Multiple Kernel Learning Approach For Low-Resource Spoken Command Recognition. - Xianyan Fu; Xiao-Lei Zhang 001; Chao-Han Huck Yang; Jun Qi 002 (ICASSP, 2024)

Hot-Fixing Wake Word Recognition for End-to-End ASR Via Neural Model Reprogramming. - 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 (ICASSP, 2024)

Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue. - Guan-Ting Lin; Prashanth Gurunath Shivakumar; Ankur Gandhe; Chao-Han Huck Yang; Yile Gu; Shalini Ghosh; Andreas Stolcke; Hung-Yi Lee; Ivan Bulyko (ICASSP, 2024)

Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification. - Anirudh S. Sundar; Chao-Han Huck Yang; David M. Chan; Shalini Ghosh; Venkatesh Ravichandran; Phani Sankar Nidadavolu (ICASSP Workshops, 2024)

Can Whisper Perform Speech-Based In-Context Learning? - Siyin Wang; Chao-Han Huck Yang; Ji Wu; Chao Zhang 031 (ICASSP, 2024)

It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition. - Chen Chen 075; Ruizhe Li 001; Yuchen Hu; Sabato Marco Siniscalchi; Pin-Yu Chen; Engsiong Chng; Chao-Han Huck Yang (ICLR, 2024)

Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. - Yuchen Hu; Chen Chen 075; Chao-Han Huck Yang; Ruizhe Li 001; Chao Zhang 031; Pin-Yu Chen; Engsiong Chng (ICLR, 2024)

QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train. - Chen-Yu Liu; Chu-Hsuan Abraham Lin; Chao-Han Huck Yang; Kuan-Cheng Chen; Min-Hsiu Hsieh (QCE, 2024)

An Investigation of Incorporating Mamba For Speech Enhancement. - Rong Chao; Wen-Huang Cheng; Moreno La Quatra; Sabato Marco Siniscalchi; Chao-Han Huck Yang; Szu-Wei Fu; Yu Tsao 001 (SLT, 2024)

Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits. - Sung-Feng Huang; Heng-Cheng Kuo; Zhehuai Chen; Xuesong Yang; Chao-Han Huck Yang; Yu Tsao 001; Yu-Chiang Frank Wang; Hung-Yi Lee; Szu-Wei Fu (SLT, 2024)

Large Language Model Based Generative Error Correction: A Challenge and Baselines For Speech Recognition, Speaker Tagging, and Emotion Recognition. - Chao-Han Huck Yang; Taejin Park; Yuan Gong 001; Yuanchao Li; Zhehuai Chen; Yen-Ting Lin; Chen Chen 075; Yuchen Hu; Kunal Dhawan; Piotr Zelasko; Chao Zhang 031; Yun-Nung Chen; et al. (SLT, 2024)

Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition. - 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; et al. (CoRR, 2024)

Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models. - Yuchen Hu; Chen Chen 075; Chao-Han Huck Yang; Chengwei Qin; Pin-Yu Chen; Eng Siong Chng; Chao Zhang 031 (CoRR, 2024)

Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction. - Rithik Sachdev; Zhong-Qiu Wang; Chao-Han Huck Yang (CoRR, 2024)

Benchmarking Japanese Speech Recognition on ASR-LLM Setups with Multi-Pass Augmented Generative Error Correction. - Yuka Ko; Sheng Li 010; Chao-Han Huck Yang; Tatsuya Kawahara (CoRR, 2024)

Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks. - Chien-yu Huang; Wei-Chih Chen; Shu-Wen Yang; Andy T. Liu; Chen-An Li; Yu-Xiang Lin; Wei-Cheng Tseng; Anuj Diwan; Yi-Jen Shih; Jiatong Shi; William Chen; Xuanjun Chen; et al. (CoRR, 2024)

NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts. - Yen-Ting Lin; Chao-Han Huck Yang; Zhehuai Chen; Piotr Zelasko; Xuesong Yang; Zih-Ching Chen; Krishna C. Puvvada; Szu-Wei Fu; Ke Hu; Jun Wei Chiu; Jagadeesh Balam; Boris Ginsburg; et al. (CoRR, 2024)

Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits. - Jun Qi 002; Chao-Han Huck Yang; Samuel Yen-Chi Chen; Pin-Yu Chen; Hector Zenil; Jesper Tegnér (CoRR, 2024)

A Perturbation Approach to Differential Privacy for Deep Learning based Speech Processing. - Chao-Han Huck Yang (2024)

MISP-Meeting: A Real-World Dataset with Multimodal Cues for Long-form Meeting Transcription and Summarization. - HangChen HangChen; Chao-Han Huck Yang; Jia-Chen Gu; Sabato Marco Siniscalchi; Jun Du 002 (ACL (1), 2025)

SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models. - Zhen Wan; Chao-Han Huck Yang; Yahan Yu; Jinchuan Tian; Sheng Li 010; Ke Hu; Zhehuai Chen; Shinji Watanabe 001; Fei Cheng 002; Chenhui Chu; Sadao Kurohashi (ACL (1), 2025)

Projection Valued-based Quantum Machine Learning Adapting to Differential Privacy Algorithm for Word-level Lipreading. - Hang Chen 001; Chang Wang; Jun Du 002; Chao-Han Huck Yang; Jun Qi 002 (ICASSP, 2025)

Chain-of-Thought Prompting for Speech Translation. - Ke Hu; Zhehuai Chen; Chao-Han Huck Yang; Piotr Zelasko; Oleksii Hrinchuk; Vitaly Lavrukhin; Jagadeesh Balam; Boris Ginsburg (ICASSP, 2025)

Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error Correction. - Yuanchao Li; Yuan Gong 001; Chao-Han Huck Yang; Peter Bell 001; Catherine Lai (ICASSP, 2025)

Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data. - Ke-Han Lu; Zhehuai Chen; Szu-Wei Fu; Chao-Han Huck Yang; Jagadeesh Balam; Boris Ginsburg; Yu-Chiang Frank Wang; Hung-Yi Lee (ICASSP, 2025)

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators. - Chen Chen 075; Yuchen Hu; Siyin Wang; Helin Wang; Zhehuai Chen; Chao Zhang 031; Chao-Han Huck Yang; Eng Siong Chng (ICLR, 2025)

UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation. - Alexander H. Liu; Sang-gil Lee; Chao-Han Huck Yang; Yuan Gong 001; Yu-Chiang Frank Wang; James R. Glass; Rafael Valle; Bryan Catanzaro (ICLR, 2025)

A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning. - Chen-Yu Liu; Chao-Han Huck Yang; Hsi-Sheng Goan; Min-Hsiu Hsieh (ICLR, 2025)

Fugatto 1: Foundational Generative Audio Transformer Opus 1. - Rafael Valle; Rohan Badlani; Zhifeng Kong; Sang-gil Lee; Arushi Goel; Sungwon Kim 001; João Felipe Santos; Shuqi Dai; Siddharth Gururani; Aya Aljafari; Alexander H. Liu; Kevin J. Shih; et al. (ICLR, 2025)

Towards Neural Scaling Laws for Time Series Foundation Models. - Qingren Yao; Chao-Han Huck Yang; Renhe Jiang; Yuxuan Liang; Ming Jin 005; Shirui Pan (ICLR, 2025)

Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning. - Jun Qi 002; Chao-Han Huck Yang; Samuel Yen-Chi Chen; Pin-Yu Chen (ISCAS, 2025)

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer. - Hu Hu; Sabato Marco Siniscalchi; Chao-Han Huck Yang; Chin-Hui Lee 001 (CoRR, 2025)

OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models. - William Chen; Jinchuan Tian; Yifan Peng 003; Brian Yan; Chao-Han Huck Yang; Shinji Watanabe 001 (CoRR, 2025)

ESPnet-SpeechLM: An Open Speech Language Model Toolkit. - Jinchuan Tian; Jiatong Shi; William Chen; Siddhant Arora; Yoshiki Masuyama; Takashi Maekaku; Yihan Wu; Junyi Peng; Shikhar Bharadwaj; Yiwen Zhao; Samuele Cornell; Yifan Peng 003; et al. (CoRR, 2025)

Plan2Align: Predictive Planning Based Test-Time Preference Alignment in Paragraph-Level Machine Translation. - Kuang-Da Wang; Teng-Ruei Chen; Yu-Heng Hung; Shuoyang Ding; Yueh-Hua Wu; Yu-Chiang Frank Wang; Chao-Han Huck Yang; Wen-Chih Peng; Ping-Chun Hsieh (CoRR, 2025)

Multi-Domain Audio Question Answering Toward Acoustic Content Reasoning in The DCASE 2025 Challenge. - Chao-Han Huck Yang; Sreyan Ghosh; Qing Wang 008; Jaeyeon Kim; Hengyi Hong; Sonal Kumar; Guirui Zhong; Zhifeng Kong; Sakshi Singh; Vaibhavi Lokegaonkar; Oriol Nieto; Ramani Duraiswami; et al. (CoRR, 2025)

Joint Tensor-Train Parameterization for Efficient and Expressive Low-Rank Adaptation. - Jun Qi 002; Chen-Yu Liu; Sabato Marco Siniscalchi; Chao-Han Huck Yang; Min-Hsiu Hsieh (CoRR, 2025)

DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment. - Ke-Han Lu; Zhehuai Chen; Szu-Wei Fu; Chao-Han Huck Yang; Sung-Feng Huang; Chih-Kai Yang; Chee-En Yu; Chun-Wei Chen; Wei-Chih Chen; Chien-yu Huang; Yi-Cheng Lin; Yu-Xiang Lin; et al. (CoRR, 2025)

Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models. - Arushi Goel; Sreyan Ghosh; Jaehyeon Kim; Sonal Kumar; Zhifeng Kong; Sang-gil Lee; Chao-Han Huck Yang; Ramani Duraiswami; Dinesh Manocha; Rafael Valle; Bryan Catanzaro (CoRR, 2025)

SpeechIQ: Speech Intelligence Quotient Across Cognitive Levels in Voice Understanding Large Language Models. - Zhen Wan; Chao-Han Huck Yang; Yahan Yu; Jinchuan Tian; Sheng Li 010; Ke Hu; Zhehuai Chen; Shinji Watanabe 001; Fei Cheng 002; Chenhui Chu; Sadao Kurohashi (CoRR, 2025)

LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences. - Yusuke Hirota; Boyi Li; Ryo Hachiuma; Yueh-Hua Wu; Boris Ivanovic; Yuta Nakashima; Marco Pavone 001; Yejin Choi; Yu-Chiang Frank Wang; Chao-Han Huck Yang (CoRR, 2025)