Chao-Han Huck Yang

207 papers A* 16A 14B 5C 4Misc 27Journal 119Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bagpiper: Solving Open-Ended Audio Tasks via Rich Captions. CoRR Jinchuan Tian, Haoran Wang, Bo-Hao Su, Chien-yu Huang, Qingzheng Wang, Jiatong Shi, William Chen, Xun Gong, Siddhant Arora, Chin-Jou Li, Masao Someki, Takashi Maekaku, Keita Goto, Yusuke Shinohara, Jin Sakuma, Chao-Han Huck Yang, Shinji Watanabe
2026	J	`jnl`	Conditional Modeling-Based Automatic Video Summarization. ACM Trans. Multim. Comput. Commun. Appl. Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
2026	J	`jnl`	Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing. CoRR Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor, Ling Li, Min-Hsiu Hsieh
2026	J	`jnl`	How Auditory Knowledge in LLM Backbones Shapes Audio Language Models: A Holistic Evaluation. CoRR Ke-Han Lu, Szu-Wei Fu, Chao-Han Huck Yang, Zhehuai Chen, Sung-Feng Huang, Chih-Kai Yang, Yi-Cheng Lin, Chi-Yuan Hsiao, Wenze Ren, En-Pei Hu, Yu-Han Huang, An-Yu Cheng, Cheng-Han Chiang, Yu Tsao, Yu-Chiang Frank Wang, Hung-yi Lee
2026	J	`jnl`	PRiSM: Benchmarking Phone Realization in Speech Models. CoRR Shikhar Bharadwaj, Chin-Jou Li, Yoonjae Kim, Kwanghee Choi, Eunjung Yeo, Ryan Soh-Eun Shim, Hanyu Zhou, Brendon Boldt, Karen Rosero Jacome, Kalvin Chang, Darsh Agrawal, Keer Xu, Chao-Han Huck Yang, Jian Zhu, Shinji Watanabe, David R. Mortensen
2026	J	`jnl`	Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial Intelligence. CoRR Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh, Hector Zenil, Jesper Tegnér
2026	J	`jnl`	Random-Matrix-Induced Simplicity Bias in Over-parameterized Variational Quantum Circuits. CoRR Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh
2026	J	`jnl`	Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception. CoRR Zhen Wan, Chao-Han Huck Yang, Jinchuan Tian, Hanrong Ye, Ankita Pasad, Szu-Wei Fu, Arushi Goel, Ryo Hachiuma, Shizhe Diao, Kunal Dhawan, Sreyan Ghosh, Yusuke Hirota, Zhehuai Chen, Rafael Valle, Ehsan Hosseini-Asl, Chenhui Chu, Shinji Watanabe, Yu-Chiang Frank Wang, Boris Ginsburg
2026	J	`jnl`	The Interspeech 2026 Audio Reasoning Challenge: Evaluating Reasoning Process Quality for Audio Reasoning Models and Agents. CoRR Ziyang Ma, Ruiyang Xu, Yinghao Ma, Chao-Han Huck Yang, Bohan Li, Jaeyeon Kim, Jin Xu, Jinyu Li, Carlos Busso, Kai Yu, Eng Siong Chng, Xie Chen
2025	A*	`conf`	A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning. ICLR Chen-Yu Liu, Chao-Han Huck Yang, Hsi-Sheng Goan, Min-Hsiu Hsieh
2025	J	`jnl`	Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models. CoRR 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
2025	A*	`conf`	Audio Large Language Models Can Be Descriptive Speech Quality Evaluators. ICLR Chen Chen, Yuchen Hu, Siyin Wang, Helin Wang, Zhehuai Chen, Chao Zhang, Chao-Han Huck Yang, Eng Siong Chng
2025	J	`jnl`	Audio Large Language Models Can Be Descriptive Speech Quality Evaluators. CoRR Chen Chen, Yuchen Hu, Siyin Wang, Helin Wang, Zhehuai Chen, Chao Zhang, Chao-Han Huck Yang, Eng Siong Chng
2025	J	`jnl`	Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation. CoRR Yusuke Hirota, Ryo Hachiuma, Boyi Li, Ximing Lu, Michael Ross Boone, Boris Ivanovic, Yejin Choi, Marco Pavone, Yu-Chiang Wang, Noa Garcia, Yuta Nakashima, Chao-Han Huck Yang
2025	Misc	`conf`	Chain-of-Thought Prompting for Speech Translation. ICASSP Ke Hu, Zhehuai Chen, Chao-Han Huck Yang, Piotr Zelasko, Oleksii Hrinchuk, Vitaly Lavrukhin, Jagadeesh Balam, Boris Ginsburg
2025	A*	`conf`	CoVoGER: A Multilingual Multitask Benchmark for Speech-to-text Generative Error Correction with Large Language Models. EMNLP Zhengdong Yang, Zhen Wan, Sheng Li, Chao-Han Huck Yang, Chenhui Chu
2025	J	`jnl`	DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment. CoRR 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, Chi-An Fu, Chun-Yi Kuan, Wenze Ren, Xuanjun Chen, Wei-Ping Huang, En-Pei Hu, Tzu-Quan Lin, Yuan-Kuei Wu, Kuan-Po Huang, Hsiao-Ying Huang, Huang-Cheng Chou, Kai-Wei Chang, Cheng-Han Chiang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee
2025	J	`jnl`	Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits. CoRR Sung-Feng Huang, Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Chao-Han Huck Yang, Yu Tsao, Yu-Chiang Frank Wang, Hung-yi Lee, Szu-Wei Fu
2025	Misc	`conf`	Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data. ICASSP Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, Chao-Han Huck Yang, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee
2025	—	`conf`	ESPnet-SpeechLM: An Open Speech Language Model Toolkit. NAACL (System Demonstrations) Jinchuan Tian, Jiatong Shi, William Chen, Siddhant Arora, Yoshiki Masuyama, Takashi Maekaku, Yihan Wu, Junyi Peng, Shikhar Bharadwaj, Yiwen Zhao, Samuele Cornell, Yifan Peng, Xiang Yue, Chao-Han Huck Yang, Graham Neubig, Shinji Watanabe
2025	J	`jnl`	ESPnet-SpeechLM: An Open Speech Language Model Toolkit. CoRR Jinchuan Tian, Jiatong Shi, William Chen, Siddhant Arora, Yoshiki Masuyama, Takashi Maekaku, Yihan Wu, Junyi Peng, Shikhar Bharadwaj, Yiwen Zhao, Samuele Cornell, Yifan Peng, Xiang Yue, Chao-Han Huck Yang, Graham Neubig, Shinji Watanabe
2025	J	`jnl`	Estimating Time Series Foundation Model Transferability via In-Context Learning. CoRR Qingren Yao, Ming Jin, Chengqi Zhang, Chao-Han Huck Yang, Jun Qi, Shirui Pan
2025	—	`conf`	Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction. SiPS Rithik Sachdev, Zhong-Qiu Wang, Chao-Han Huck Yang
2025	A*	`conf`	Extending Automatic Machine Translation Evaluation to Book-Length Documents. EMNLP Kuang-Da Wang, Shuoyang Ding, Chao-Han Huck Yang, Ping-Chun Hsieh, Wen-Chih Peng, Vitaly Lavrukhin, Boris Ginsburg
2025	J	`jnl`	Extending Automatic Machine Translation Evaluation to Book-Length Documents. CoRR Kuang-Da Wang, Shuoyang Ding, Chao-Han Huck Yang, Ping-Chun Hsieh, Wen-Chih Peng, Vitaly Lavrukhin, Boris Ginsburg
2025	A*	`conf`	Fugatto 1: Foundational Generative Audio Transformer Opus 1. ICLR Rafael Valle, Rohan Badlani, Zhifeng Kong, Sang-gil Lee, Arushi Goel, Sungwon Kim, João Felipe Santos, Shuqi Dai, Siddharth Gururani, Aya Aljafari, Alexander H. Liu, Kevin J. Shih, Ryan Prenger, Wei Ping, Chao-Han Huck Yang, Bryan Catanzaro
2025	J	`jnl`	Investigating Safety Vulnerabilities of Large Audio-Language Models Under Speaker Emotional Variations. CoRR Bo-Han Feng, Chien-Feng Liu, Yu-Hsuan Li Liang, Chih-Kai Yang, Szu-Wei Fu, Zhehuai Chen, Ke-Han Lu, Sung-Feng Huang, Chao-Han Huck Yang, Yu-Chiang Frank Wang, Yun-Nung Chen, Hung-yi Lee
2025	J	`jnl`	Joint Tensor-Train Parameterization for Efficient and Expressive Low-Rank Adaptation. CoRR Jun Qi, Chen-Yu Liu, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Min-Hsiu Hsieh
2025	—	`conf`	LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences. ACL (6) Yusuke Hirota, Boyi Li, Ryo Hachiuma, Yueh-Hua Wu, Boris Ivanovic, Marco Pavone, Yejin Choi, Yu-Chiang Frank Wang, Yuta Nakashima, Chao-Han Huck Yang
2025	J	`jnl`	LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences. CoRR Yusuke Hirota, Boyi Li, Ryo Hachiuma, Yueh-Hua Wu, Boris Ivanovic, Yuta Nakashima, Marco Pavone, Yejin Choi, Yu-Chiang Frank Wang, Chao-Han Huck Yang
2025	J	`jnl`	Long Grounded Thoughts: Distilling Compositional Visual Reasoning Chains at Scale. CoRR David Acuna, Chao-Han Huck Yang, Yuntian Deng, Jaehun Jung, Ximing Lu, Prithviraj Ammanabrolu, Hyunwoo Kim, Yuan-Hong Liao, Yejin Choi
2025	—	`conf`	MISP-Meeting: A Real-World Dataset with Multimodal Cues for Long-form Meeting Transcription and Summarization. ACL (1) HangChen HangChen, Chao-Han Huck Yang, Jia-Chen Gu, Sabato Marco Siniscalchi, Jun Du
2025	J	`jnl`	Multi-Domain Audio Question Answering Toward Acoustic Content Reasoning in The DCASE 2025 Challenge. CoRR Chao-Han Huck Yang, Sreyan Ghosh, Qing Wang, Jaeyeon Kim, Hengyi Hong, Sonal Kumar, Guirui Zhong, Zhifeng Kong, Sakshi Singh, Vaibhavi Lokegaonkar, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha, Gunhee Kim, Jun Du, Rafael Valle, Bryan Catanzaro
2025	—	`conf`	NeKo: Cross-Modality Post-Recognition Error Correction with Tasks-Guided Mixture-of-Experts Language Model. ACL (6) Yen-Ting Lin, Zhehuai Chen, Piotr Zelasko, Zhen Wan, Xuesong Yang, Zih-Ching Chen, Krishna C. Puvvada, Ke Hu, Szu-Wei Fu, Jun Wei Chiu, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang, Chao-Han Huck Yang
2025	A*	`conf`	OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models. ICML William Chen, Jinchuan Tian, Yifan Peng, Brian Yan, Chao-Han Huck Yang, Shinji Watanabe
2025	J	`jnl`	OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models. CoRR William Chen, Jinchuan Tian, Yifan Peng, Brian Yan, Chao-Han Huck Yang, Shinji Watanabe
2025	J	`jnl`	OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM. CoRR Hanrong Ye, Chao-Han Huck Yang, Arushi Goel, Wei Huang, Ligeng Zhu, Yuanhang Su, Sean Lin, An-Chieh Cheng, Zhen Wan, Jinchuan Tian, Yuming Lou, Dong Yang, Zhijian Liu, Yukang Chen, Ambrish Dantrey, Ehsan Jahangiri, Sreyan Ghosh, Daguang Xu, Ehsan Hosseini-Asl, Danial Mohseni-Taheri, Vidya Murali, Sifei Liu, Yao Lu, Oluwatobi Olabiyi, Yu-Chiang Frank Wang, Rafael Valle, Bryan Catanzaro, Andrew Tao, Song Han, Jan Kautz, Hongxu Yin, Pavlo Molchanov
2025	J	`jnl`	Plan2Align: Predictive Planning Based Test-Time Preference Alignment in Paragraph-Level Machine Translation. CoRR 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
2025	Misc	`conf`	Projection Valued-based Quantum Machine Learning Adapting to Differential Privacy Algorithm for Word-level Lipreading. ICASSP Hang Chen, Chang Wang, Jun Du, Chao-Han Huck Yang, Jun Qi
2025	C	`conf`	Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning. ISCAS Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen
2025	Misc	`conf`	Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error Correction. ICASSP Yuanchao Li, Yuan Gong, Chao-Han Huck Yang, Peter Bell, Catherine Lai
2025	J	`jnl`	SAKE: Towards Editing Auditory Attribute Knowledge of Large Audio-Language Models. CoRR Chih-Kai Yang, Yen-Ting Piao, Tzu-Wen Hsu, Szu-Wei Fu, Zhehuai Chen, Ke-Han Lu, Sung-Feng Huang, Chao-Han Huck Yang, Yu-Chiang Frank Wang, Yun-Nung Chen, Hung-yi Lee
2025	J	`jnl`	SpeechIQ: Speech Intelligence Quotient Across Cognitive Levels in Voice Understanding Large Language Models. CoRR Zhen Wan, Chao-Han Huck Yang, Yahan Yu, Jinchuan Tian, Sheng Li, Ke Hu, Zhehuai Chen, Shinji Watanabe, Fei Cheng, Chenhui Chu, Sadao Kurohashi
2025	—	`conf`	SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models. ACL (1) Zhen Wan, Chao-Han Huck Yang, Yahan Yu, Jinchuan Tian, Sheng Li, Ke Hu, Zhehuai Chen, Shinji Watanabe, Fei Cheng, Chenhui Chu, Sadao Kurohashi
2025	J	`jnl`	Spoken Conversational Agents with Large Language Models. CoRR Chao-Han Huck Yang, Andreas Stolcke, Larry Heck
2025	J	`jnl`	Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations. CoRR Hung-Chun Hsu, Yuan-Ching Kuo, Chao-Han Huck Yang, Szu-Wei Fu, Hanrong Ye, Hongxu Yin, Yu-Chiang Frank Wang, Ming-Feng Tsai, Chuan-Ju Wang
2025	J	`jnl`	TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models. CoRR Tong Guan, Zijie Meng, Dianqi Li, Shiyu Wang, Chao-Han Huck Yang, Qingsong Wen, Zuozhu Liu, Sabato Marco Siniscalchi, Ming Jin, Shirui Pan
2025	A*	`conf`	Towards Neural Scaling Laws for Time Series Foundation Models. ICLR Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan
2025	J	`jnl`	UALM: Unified Audio Language Model for Understanding, Generation and Reasoning. CoRR Jinchuan Tian, Sang-gil Lee, Zhifeng Kong, Sreyan Ghosh, Arushi Goel, Chao-Han Huck Yang, Wenliang Dai, Zihan Liu, Hanrong Ye, Shinji Watanabe, Mohammad Shoeybi, Bryan Catanzaro, Rafael Valle, Wei Ping
2025	A*	`conf`	UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation. ICLR Alexander H. Liu, Sang-gil Lee, Chao-Han Huck Yang, Yuan Gong, Yu-Chiang Frank Wang, James R. Glass, Rafael Valle, Bryan Catanzaro
2025	J	`jnl`	UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation. CoRR Alexander H. Liu, Sang-gil Lee, Chao-Han Huck Yang, Yuan Gong, Yu-Chiang Frank Wang, James R. Glass, Rafael Valle, Bryan Catanzaro
2025	J	`jnl`	Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer. CoRR Hu Hu, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Chin-Hui Lee
2025	J	`jnl`	WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations. CoRR Jaeyeon Kim, Heeseung Yun, Sang Hoon Woo, Chao-Han Huck Yang, Gunhee Kim
2024	—	`—`	A Perturbation Approach to Differential Privacy for Deep Learning based Speech Processing. Chao-Han Huck Yang
2024	—	`conf`	An Investigation of Incorporating Mamba For Speech Enhancement. SLT Rong Chao, Wen-Huang Cheng, Moreno La Quatra, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Szu-Wei Fu, Yu Tsao
2024	J	`jnl`	An Investigation of Incorporating Mamba for Speech Enhancement. CoRR Rong Chao, Wen-Huang Cheng, Moreno La Quatra, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Szu-Wei Fu, Yu Tsao
2024	A*	`conf`	Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities. EMNLP Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang
2024	J	`jnl`	Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities. CoRR Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang
2024	J	`jnl`	Benchmarking Japanese Speech Recognition on ASR-LLM Setups with Multi-Pass Augmented Generative Error Correction. CoRR Yuka Ko, Sheng Li, Chao-Han Huck Yang, Tatsuya Kawahara
2024	Misc	`conf`	Can Whisper Perform Speech-Based In-Context Learning? ICASSP Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang
2024	J	`jnl`	Chain-of-Thought Prompting for Speech Translation. CoRR Ke Hu, Zhehuai Chen, Chao-Han Huck Yang, Piotr Zelasko, Oleksii Hrinchuk, Vitaly Lavrukhin, Jagadeesh Balam, Boris Ginsburg
2024	—	`conf`	Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits. SLT Sung-Feng Huang, Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Chao-Han Huck Yang, Yu Tsao, Yu-Chiang Frank Wang, Hung-yi Lee, Szu-Wei Fu
2024	J	`jnl`	Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data. CoRR Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, Chao-Han Huck Yang, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee
2024	J	`jnl`	Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks. CoRR 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, Chi-Yuan Hsiao, Puyuan Peng, Shih-Heng Wang, Chun-Yi Kuan, Ke-Han Lu, Kai-Wei Chang, Chih-Kai Yang, Fabian Ritter Gutierrez, Ming To Chuang, Kuan-Po Huang, Siddhant Arora, You-Kuan Lin, Eunjung Yeo, Kalvin Chang, Chung-Ming Chien, Kwanghee Choi, Cheng-Hsiu Hsieh, Yi-Cheng Lin, Chee-En Yu, I-Hsiang Chiu, Heitor R. Guimarães, Jionghao Han, Tzu-Quan Lin, Tzu-Yuan Lin, Homu Chang, Ting-Wu Chang, Chun Wei Chen, Shou-Jen Chen, Yu-Hua Chen, Hsi-Chun Cheng, Kunal Dhawan, Jia-Lin Fang, Shi-Xin Fang, Kuan-Yu Fang Chiang, Chi An Fu, Hsien-Fu Hsiao, Ching Yu Hsu, Shao-Syuan Huang, Lee Chen Wei, Hsi-Che Lin, Hsuan-Hao Lin, Hsuan-Ting Lin, Jian-Ren Lin, Ting-Chun Liu, Li-Chun Lu, Tsung-Min Pai, Ankita Pasad, Shih-Yun Shan Kuan, Suwon Shon, Yuxun Tang, Yun-Shao Tsai, Jui-Chiang Wei, Tzu-Chieh Wei, Chengxi Wu, Dien-Ruei Wu, Chao-Han Huck Yang, Chieh-Chi Yang, Jia Qi Yip, Shao-Xiang Yuan, Vahid Noroozi, Zhehuai Chen, Haibin Wu, Karen Livescu, David Harwath, Shinji Watanabe, Hung-yi Lee
2024	J	`jnl`	Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction. CoRR Rithik Sachdev, Zhong-Qiu Wang, Chao-Han Huck Yang
2024	Misc	`conf`	Exploiting A Quantum Multiple Kernel Learning Approach For Low-Resource Spoken Command Recognition. ICASSP Xianyan Fu, Xiao-Lei Zhang, Chao-Han Huck Yang, Jun Qi
2024	—	`conf`	FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model. EMNLP (Industry Track) Yichen Lu, Jiaqi Song, Chao-Han Huck Yang, Shinji Watanabe
2024	J	`jnl`	FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model. CoRR Yichen Lu, Jiaqi Song, Chao-Han Huck Yang, Shinji Watanabe
2024	A*	`conf`	From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment. EMNLP Yusuke Hirota, Ryo Hachiuma, Chao-Han Huck Yang, Yuta Nakashima
2024	J	`jnl`	From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment. CoRR Yusuke Hirota, Ryo Hachiuma, Chao-Han Huck Yang, Yuta Nakashima
2024	—	`conf`	GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators. ACL (1) Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Dong Zhang, Zhehuai Chen, Engsiong Chng
2024	J	`jnl`	GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators. CoRR Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Dong Zhang, Zhehuai Chen, Eng Siong Chng
2024	Misc	`conf`	Hot-Fixing Wake Word Recognition for End-to-End ASR Via Neural Model Reprogramming. ICASSP 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
2024	J	`jnl`	Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition. CoRR 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
2024	A*	`conf`	It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition. ICLR Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Engsiong Chng, Chao-Han Huck Yang
2024	J	`jnl`	It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition. CoRR Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Eng Siong Chng, Chao-Han Huck Yang
2024	—	`conf`	Large Language Model Based Generative Error Correction: A Challenge and Baselines For Speech Recognition, Speaker Tagging, and Emotion Recognition. SLT Chao-Han Huck Yang, Taejin Park, Yuan Gong, Yuanchao Li, Zhehuai Chen, Yen-Ting Lin, Chen Chen, Yuchen Hu, Kunal Dhawan, Piotr Zelasko, Chao Zhang, Yun-Nung Chen, Yu Tsao, Jagadeesh Balam, Boris Ginsburg, Sabato Marco Siniscalchi, Eng Siong Chng, Peter Bell, Catherine Lai, Shinji Watanabe, Andreas Stolcke
2024	J	`jnl`	Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition. CoRR Chao-Han Huck Yang, Taejin Park, Yuan Gong, Yuanchao Li, Zhehuai Chen, Yen-Ting Lin, Chen Chen, Yuchen Hu, Kunal Dhawan, Piotr Zelasko, Chao Zhang, Yun-Nung Chen, Yu Tsao, Jagadeesh Balam, Boris Ginsburg, Sabato Marco Siniscalchi, Eng Siong Chng, Peter Bell, Catherine Lai, Shinji Watanabe, Andreas Stolcke
2024	A*	`conf`	Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. ICLR Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, Engsiong Chng
2024	J	`jnl`	Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. CoRR Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, Eng Siong Chng
2024	J	`jnl`	Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits. CoRR Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen, Hector Zenil, Jesper Tegnér
2024	—	`conf`	Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification. ICASSP Workshops Anirudh S. Sundar, Chao-Han Huck Yang, David M. Chan, Shalini Ghosh, Venkatesh Ravichandran, Phani Sankar Nidadavolu
2024	J	`jnl`	NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts. CoRR 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, Yu-Chiang Frank Wang
2024	Misc	`conf`	Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue. ICASSP Guan-Ting Lin, Prashanth Gurunath Shivakumar, Ankur Gandhe, Chao-Han Huck Yang, Yile Gu, Shalini Ghosh, Andreas Stolcke, Hung-yi Lee, Ivan Bulyko
2024	Misc	`conf`	QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train. QCE Chen-Yu Liu, Chu-Hsuan Abraham Lin, Chao-Han Huck Yang, Kuan-Cheng Chen, Min-Hsiu Hsieh
2024	J	`jnl`	Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error Correction. CoRR Yuanchao Li, Yuan Gong, Chao-Han Huck Yang, Peter Bell, Catherine Lai
2024	J	`jnl`	Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models. CoRR Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang
2024	J	`jnl`	Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks. CoRR 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
2024	Misc	`conf`	Towards ASR Robust Spoken Language Understanding Through in-Context Learning with Word Confusion Networks. ICASSP 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
2024	J	`jnl`	Towards Neural Scaling Laws for Time Series Foundation Models. CoRR Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan
2023	A	`conf`	A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models. INTERSPEECH Pin-Jui Ku, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
2023	J	`jnl`	A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models. CoRR Pin-Jui Ku, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
2023	J	`jnl`	A Neural State-Space Model Approach to Efficient Speech Separation. CoRR Chen Chen, Chao-Han Huck Yang, Kai Li, Yuchen Hu, Pin-Jui Ku, Eng Siong Chng
2023	A	`conf`	A Neural State-Space Modeling Approach to Efficient Speech Separation. INTERSPEECH Chen Chen, Chao-Han Huck Yang, Kai Li, Yuchen Hu, Pin-Jui Ku, Eng Siong Chng
2023	A	`conf`	A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model. INTERSPEECH Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Narsis A. Kiani, David Gomez-Cabrero, Jesper N. Tegnér
2023	J	`jnl`	A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model. CoRR Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Narsis Aftab Kiani, David Gomez-Cabrero, Jesper N. Tegnér
2023	Misc	`conf`	A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. ICASSP Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Tara N. Sainath, Sabato Marco Siniscalchi, Chin-Hui Lee
2023	J	`jnl`	Can Whisper perform speech-based in-context learning. CoRR Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang
2023	J	`jnl`	Causal Video Summarizer for Video Exploration. CoRR Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring
2023	—	`conf`	Causalainer: Causal Explainer for Automatic Video Summarization. CVPR Workshops Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
2023	J	`jnl`	Causalainer: Causal Explainer for Automatic Video Summarization. CoRR Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
2023	Misc	`conf`	Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise. ICASSP Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo
2023	J	`jnl`	Conditional Modeling Based Automatic Video Summarization. CoRR Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
2023	A	`conf`	Differentially Private Adapters for Parameter Efficient Acoustic Modeling. INTERSPEECH Chun-Wei Ho, Chao-Han Huck Yang, Sabato Marco Siniscalchi
2023	J	`jnl`	Differentially Private Adapters for Parameter Efficient Acoustic Modeling. CoRR Chun-Wei Ho, Chao-Han Huck Yang, Sabato Marco Siniscalchi
2023	—	`conf`	Enhancing Privacy Preservation with Quantum Computing for Word-Level Audio-Visual Speech Recognition. APSIPA ASC Chang Wang, Jun Du, Hang Chen, Ruoyu Wang, Chao-Han Huck Yang, Jiangjiang Zhao, Yuling Ren, Qinglong Li, Chin-Hui Lee
2023	J	`jnl`	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. Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor
2023	Misc	`conf`	From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. ICASSP Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman
2023	J	`jnl`	From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. CoRR Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman
2023	C	`conf`	Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting. ASRU Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke
2023	J	`jnl`	Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Prompting. CoRR Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu, Shalini Ghosh, Ivan Bulyko, Andreas Stolcke
2023	J	`jnl`	Generative error correction for code-switching speech recognition using large language models. CoRR Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Hexin Liu, Sabato Marco Siniscalchi, Eng Siong Chng
2023	A	`conf`	How to Estimate Model Transferability of Pre-Trained Speech Models? INTERSPEECH Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath
2023	J	`jnl`	How to Estimate Model Transferability of Pre-Trained Speech Models? CoRR Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath
2023	A*	`conf`	HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models. NeurIPS Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Chng Eng Siong
2023	J	`jnl`	HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models. CoRR Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Eng Siong Chng
2023	—	`conf`	Inference and Denoise: Causal Inference-Based Neural Speech Enhancement. MLSP Tsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao
2023	C	`conf`	Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. ASRU 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
2023	Misc	`conf`	Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming. ICASSP Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch
2023	J	`jnl`	Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. CoRR 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
2023	J	`jnl`	Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification. CoRR Anirudh S. Sundar, Chao-Han Huck Yang, David M. Chan, Shalini Ghosh, Venkatesh Ravichandran, Phani Sankar Nidadavolu
2023	A	`conf`	Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition. INTERSPEECH Hao Yen, Pin-Jui Ku, Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Yu Tsao
2023	J	`jnl`	Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue. CoRR Guan-Ting Lin, Prashanth Gurunath Shivakumar, Ankur Gandhe, Chao-Han Huck Yang, Yile Gu, Shalini Ghosh, Andreas Stolcke, Hung-yi Lee, Ivan Bulyko
2023	A	`conf`	Parameter-Efficient Learning for Text-to-Speech Accent Adaptation. INTERSPEECH Li-Jen Yang, Chao-Han Huck Yang, Jen-Tzung Chien
2023	J	`jnl`	Parameter-Efficient Learning for Text-to-Speech Accent Adaptation. CoRR Li-Jen Yang, Chao-Han Huck Yang, Jen-Tzung Chien
2023	A	`conf`	Pessimistic Model Selection for Offline Deep Reinforcement Learning. UAI Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen
2023	A	`conf`	Treatment Learning Causal Transformer for Noisy Image Classification. WACV Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
2023	A*	`conf`	Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition. EMNLP Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Rohit Kumar, Narsis A. Kiani, David Gomez-Cabrero, Jesper Tegnér
2023	J	`jnl`	Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition. CoRR Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Rohit Kumar, Narsis A. Kiani, David Gomez-Cabrero, Jesper N. Tegnér
2022	J	`jnl`	A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. CoRR Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Tara N. Sainath, Sabato Marco Siniscalchi, Chin-Hui Lee
2022	Misc	`conf`	A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning. ICASSP Hengshun Zhou, Jun Du, Chao-Han Huck Yang, Shifu Xiong, Chin-Hui Lee
2022	J	`jnl`	A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning. CoRR Hengshun Zhou, Jun Du, Chao-Han Huck Yang, Shifu Xiong, Chin-Hui Lee
2022	—	`conf`	A Study on Joint Modeling and Data Augmentation of Multi-Modalities for Audio-Visual Scene Classification. ISCSLP 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
2022	Misc	`conf`	A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer. ICASSP Hu Hu, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Chin-Hui Lee
2022	J	`jnl`	A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification. CoRR 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
2022	—	`conf`	An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition. ISCSLP Chao-Han Huck Yang, Jun Qi, Sabato Marco Siniscalchi, Chin-Hui Lee
2022	J	`jnl`	An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition. CoRR Chao-Han Huck Yang, Jun Qi, Sabato Marco Siniscalchi, Chin-Hui Lee
2022	—	`conf`	An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition. SLT Chao-Han Huck Yang, I-Fan Chen, Andreas Stolcke, Sabato Marco Siniscalchi, Chin-Hui Lee
2022	J	`jnl`	An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition. CoRR Chao-Han Huck Yang, I-Fan Chen, Andreas Stolcke, Sabato Marco Siniscalchi, Chin-Hui Lee
2022	A	`conf`	Causal Video Summarizer for Video Exploration. ICME Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring
2022	J	`jnl`	Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise. CoRR Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo
2022	J	`jnl`	Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing. CoRR Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor
2022	J	`jnl`	Inference and Denoise: Causal Inference-based Neural Speech Enhancement. CoRR Tsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao
2022	J	`jnl`	Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming. CoRR Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch
2022	Misc	`conf`	Mitigating Closed-Model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition. ICASSP Chao-Han Huck Yang, Zeeshan Ahmed, Yile Gu, Joseph Szurley, Roger Ren, Linda Liu, Andreas Stolcke, Ivan Bulyko
2022	J	`jnl`	Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition. CoRR Chao-Han Huck Yang, Zeeshan Ahmed, Yile Gu, Joseph Szurley, Roger Ren, Linda Liu, Andreas Stolcke, Ivan Bulyko
2022	A	`conf`	Non-local Attention Improves Description Generation for Retinal Images. WACV Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegnér, Marcel Worring
2022	J	`jnl`	Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression. CoRR Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh
2022	A*	`conf`	Training a Resilient Q-network against Observational Interference. AAAI Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen
2022	J	`jnl`	Treatment Learning Transformer for Noisy Image Classification. CoRR Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
2022	Misc	`conf`	When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. ICASSP Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen
2022	J	`jnl`	When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. CoRR Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen
2021	J	`jnl`	A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification. CoRR 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
2021	J	`jnl`	A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming. CoRR Hao Yen, Pin-Jui Ku, Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Yu Tsao
2021	Misc	`conf`	A Two-Stage Approach to Device-Robust Acoustic Scene Classification. ICASSP 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
2021	J	`jnl`	A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer. CoRR Hu Hu, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Chin-Hui Lee
2021	J	`jnl`	Attention Based Bidirectional Convolutional LSTM for High-Resolution Radio Tomographic Imaging. IEEE Trans. Circuits Syst. II Express Briefs Hongzhuang Wu, Xiaoli Ma, Chao-Han Huck Yang, Songyong Liu
2021	J	`jnl`	Causal Inference Q-Network: Toward Resilient Reinforcement Learning. CoRR Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen
2021	Misc	`conf`	Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. ICASSP Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
2021	B	`conf`	Deep Context-Encoding Network For Retinal Image Captioning. ICIP Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Marcel Worring
2021	A	`conf`	DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. WACV 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
2021	J	`jnl`	Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning". CoRR Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Marcel Worring
2021	C	`conf`	Multi-Task Language Modeling for Improving Speech Recognition of Rare Words. ASRU Chao-Han Huck Yang, Linda Liu, Ankur Gandhe, Yile Gu, Anirudh Raju, Denis Filimonov, Ivan Bulyko
2021	A	`conf`	PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification. Interspeech Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
2021	J	`jnl`	PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification. CoRR Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
2021	J	`jnl`	Pessimistic Model Selection for Offline Deep Reinforcement Learning. CoRR Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen
2021	J	`jnl`	QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks. CoRR Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen
2021	B	`conf`	Robust Unsupervised Multi-Object Tracking In Noisy Environments. ICIP Chao-Han Huck Yang, Mohit Chhabra, Yi-Chieh Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami
2021	J	`jnl`	Robust Unsupervised Multi-Object Tracking in Noisy Environments. CoRR Chao-Han Huck Yang, Mohit Chhabra, Yi-Chieh Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami
2021	A*	`conf`	Voice2Series: Reprogramming Acoustic Models for Time Series Classification. ICML Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen
2021	J	`jnl`	Voice2Series: Reprogramming Acoustic Models for Time Series Classification. CoRR Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen
2020	J	`jnl`	A Two-Stage Approach to Device-Robust Acoustic Scene Classification. CoRR 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
2020	Misc	`conf`	Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement. ICASSP Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee
2020	J	`jnl`	Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement. CoRR Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee
2020	Misc	`conf`	Convolutional Neural Network Based Radio Tomographic Imaging. CISS Hongzhuang Wu, Xiaoli Ma, Chao-Han Huck Yang, Songyong Liu
2020	J	`jnl`	Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. CoRR Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
2020	J	`jnl`	DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. CoRR 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
2020	J	`jnl`	Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation. CoRR 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
2020	Misc	`conf`	Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning. ICASSP Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma
2020	J	`jnl`	Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning. CoRR Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma
2020	B	`conf`	Evolving Neural Networks through a Reverse Encoding Tree. CEC Haoling Zhang, Chao-Han Huck Yang, Hector Zenil, Narsis Aftab Kiani, Yue Shen, Jesper N. Tegnér
2020	J	`jnl`	Evolving Neural Networks through a Reverse Encoding Tree. CoRR Haoling Zhang, Chao-Han Huck Yang, Hector Zenil, Narsis Aftab Kiani, Yue Shen, Jesper N. Tegnér
2020	A	`conf`	Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement. INTERSPEECH Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
2020	J	`jnl`	Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement. CoRR Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
2020	Misc	`conf`	Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. ICASSP Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai
2020	J	`jnl`	Multi-task Language Modeling for Improving Speech Recognition of Rare Words. CoRR Chao-Han Huck Yang, Linda Liu, Ankur Gandhe, Yile Gu, Anirudh Raju, Denis Filimonov, Ivan Bulyko
2020	Misc	`conf`	Submodular Rank Aggregation on Score-Based Permutations for Distributed Automatic Speech Recognition. ICASSP Jun Qi, Chao-Han Huck Yang, Javier Tejedor
2020	J	`jnl`	Submodular Rank Aggregation on Score-based Permutations for Distributed Automatic Speech Recognition. CoRR Jun Qi, Chao-Han Huck Yang, Javier Tejedor
2020	Misc	`conf`	Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network. ICASSP Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
2020	J	`jnl`	Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train Network. CoRR Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee
2020	J	`jnl`	Variational Quantum Circuits for Deep Reinforcement Learning. IEEE Access Samuel Yen-Chi Chen, Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Hsi-Sheng Goan
2020	B	`conf`	Wavelet Channel Attention Module With A Fusion Network For Single Image Deraining. ICIP Hao-Hsiang Yang, Chao-Han Huck Yang, Yu-Chiang Frank Wang
2020	J	`jnl`	Wavelet Channel Attention Module with a Fusion Network for Single Image Deraining. CoRR Hao-Hsiang Yang, Chao-Han Huck Yang, Yu-Chiang Frank Wang
2020	Misc	`conf`	Y-Net: Multi-Scale Feature Aggregation Network With Wavelet Structure Similarity Loss Function For Single Image Dehazing. ICASSP Hao-Hsiang Yang, Chao-Han Huck Yang, Yi-Chang James Tsai
2020	J	`jnl`	Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazing. CoRR Hao-Hsiang Yang, Chao-Han Huck Yang, Yi-Chang James Tsai
2019	J	`jnl`	Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. CoRR Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai
2019	J	`jnl`	Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization. CoRR Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna
2019	—	`conf`	Reinforcement learning based interconnection routing for adaptive traffic optimization. NOCS Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna
2019	J	`jnl`	Synthesizing New Retinal Symptom Images by Multiple Generative Models. CoRR Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yichang James Tsai, Jesper Tegnér
2019	B	`conf`	When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks. ICIP Chao-Han Huck Yang, Yi-Chieh Liu, Pin-Yu Chen, Xiaoli Ma, Yi-Chang James Tsai
2019	J	`jnl`	When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks. CoRR Chao-Han Huck Yang, Yi-Chieh Liu, Pin-Yu Chen, Xiaoli Ma, Yi-Chang James Tsai
2018	J	`jnl`	A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases. CoRR Chao-Han Huck Yang, Jia-Hong Huang, Fangyu Liu, Fang-Yi Chiu, Mengya Gao, Weifeng Lyu, I-Hung Lin, Jesper Tegnér
2018	J	`jnl`	Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. CoRR Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Yi-Chieh Liu, I-Hung Lin, Jesper Tegnér
2018	—	`conf`	Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. ACCV Workshops Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, I-Hung Lin, Yi-Chieh Liu, Hiromasa Morikawa, Hao-Hsiang Yang, Jesper Tegnér
2018	J	`jnl`	Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning. CoRR Rise Ooi, Chao-Han Huck Yang, Pin-Yu Chen, Víctor M. Eguíluz, Narsis Aftab Kiani, Hector Zenil, David Gomez-Cabrero, Jesper Tegnér
2018	J	`jnl`	Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics. CoRR Chao-Han Huck Yang, Rise Ooi, Tom Hiscock, Víctor M. Eguíluz, Jesper Tegnér
2018	—	`conf`	Synthesizing New Retinal Symptom Images by Multiple Generative Models. ACCV Workshops Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yi-Chang James Tsai, Jesper Tegnér