| 2026 | AAAI | Risk-Aware Bilingual Spoken Dialogue for Campus Mental Health Support. | You-Teng Lin, Li-Yang Zhang, Yi-Tang Chen, Jen-Tzung Chien |
| 2025 | ICASSP | CGDD: Contrastive Gaussian-Dirac Diffusion Model. | Chih-Chun Chen, Hsin-Yi Lin, Jen-Tzung Chien |
| 2025 | ICASSP | Attention Disentanglement for Semantic Diffusion Modeling in Text-to-Image Generation. | Hsiang-Chun Yu, Jen-Tzung Chien |
| 2025 | IJCNN | Reinforced Retrieval-Augmented Generation in Large Language Models. | Jen-Tzung Chien, Zhi-Xuan Tai |
| 2025 | Interspeech | Disentangling Speaker and Content in Pre-trained Speech Models with Latent Diffusion for Robust Speaker Verification. | Zhe Li, Man-Wai Mak, Jen-Tzung Chien, Mert Pilanci, Zezhong Jin, Helen Meng |
| 2025 | Interspeech | CAPR: Confidence-Aware Prompt Refinement in Large Language Models. | Jen-Tzung Chien, Po-Chun Huang |
| 2024 | ICASSP | Attention-Guided Adaptation for Code-Switching Speech Recognition. | Bobbi Aditya, Mahdin Rohmatillah, Liang-Hsuan Tai, Jen-Tzung Chien |
| 2024 | ICASSP | Towards a Unified View of Adversarial Training: A Contrastive Perspective. | Jen-Tzung Chien, Yuan-An Chen |
| 2024 | ICASSP | Asymmetric Clean Segments-Guided Self-Supervised Learning for Robust Speaker Verification. | Chong-Xin Gan, Man-Wai Mak, Weiwei Lin, Jen-Tzung Chien |
| 2024 | ICASSP | Revise the NLU: A Prompting Strategy for Robust Dialogue System. | Mahdin Rohmatillah, Jen-Tzung Chien |
| 2024 | ICASSP | Contrastive Speaker Embedding With Sequential Disentanglement. | Youzhi Tu, Man-Wai Mak, Jen-Tzung Chien |
| 2024 | IJCNN | Mask Consistency and Contrast Regularization for Prompt-Based Learning. | Jen-Tzung Chien, Chien-Ching Chen |
| 2024 | IJCNN | False Negative Masking for Debiasing in Contrastive Learning. | Jen-Tzung Chien, Kuan Chen |
| 2024 | IJCNN | Contrastive Meta Learning for Soft Prompts Using Dynamic Mixup. | Jen-Tzung Chien, Hsin-Ti Wang, Ching-Hsien Lee |
| 2024 | Interspeech | Collaborative Contrastive Learning for Hypothesis Domain Adaptation. | Jen-Tzung Chien, I-Ping Yeh, Man-Wai Mak |
| 2024 | Interspeech | Modality Translation Learning for Joint Speech-Text Model. | Pin-Yen Liu, Jen-Tzung Chien |
| 2024 | Interspeech | Reliable dialogue system for facilitating student-counselor communication. | Mahdin Rohmatillah, Bryan Gautama Ngo, Willianto Sulaiman, Po-Chuan Chen, Jen-Tzung Chien |
| 2024 | Interspeech | Cross-Modality Diffusion Modeling and Sampling for Speech Recognition. | Chia-Kai Yeh, Chih-Chun Chen, Ching-Hsien Hsu, Jen-Tzung Chien |
| 2023 | ASRU | Adversarial Augmentation For Adapter Learning. | Jen-Tzung Chien, Wei-Yu Sun |
| 2023 | ICASSP | Meta Learning for Domain Agnostic Soft Prompt. | Ming-Yen Chen, Mahdin Rohmatillah, Ching-Hsien Lee, Jen-Tzung Chien |
| 2023 | ICASSP | Self-Supervised Adversarial Training for Contrastive Sentence Embedding. | Jen-Tzung Chien, Yuan-An Chen |
| 2023 | IJCNN | Variational Skill Embeddings for Meta Reinforcement Learning. | Jen-Tzung Chien, Weiwei Lai |
| 2023 | IJCNN | Variational Disentangled Attention and Regularization for Visual Dialog. | Jen-Tzung Chien, Hsiu-Wei Tien |
| 2023 | Interspeech | Contrastive Disentangled Learning for Memory-Augmented Transformer. | Jen-Tzung Chien, Shang-En Li |
| 2023 | Interspeech | Promoting Mental Self-Disclosure in a Spoken Dialogue System. | Mahdin Rohmatillah, Bobbi Aditya, Li-Jen Yang, Bryan Gautama Ngo, Willianto Sulaiman, Jen-Tzung Chien |
| 2023 | Interspeech | Parameter-Efficient Learning for Text-to-Speech Accent Adaptation. | Li-Jen Yang, Chao-Han Huck Yang, Jen-Tzung Chien |
| 2022 | ICASSP | Augmentation Strategy Optimization for Language Understanding. | Chang-Ting Chu, Mahdin Rohmatillah, Ching-Hsien Lee, Jen-Tzung Chien |
| 2022 | ICASSP | Adversarial Mask Transformer for Sequential Learning. | Hou Lio, Shang-En Li, Jen-Tzung Chien |
| 2022 | IJCNLP | AVAST: Attentive Variational State Tracker in a Reinforced Navigator. | Je-Wei Jang, Mahdin Rohmatillah, Jen-Tzung Chien |
| 2022 | Interspeech | Bayesian Transformer Using Disentangled Mask Attention. | Jen-Tzung Chien, Yu-Han Huang |
| 2021 | AAAI | Continuous-Time Attention for Sequential Learning. | Jen-Tzung Chien, Yi-Hsiang Chen |
| 2021 | ASRU | Variational Sequential Modeling, Learning and Understanding. | Jen-Tzung Chien, Chih-Jung Tsai |
| 2021 | ASRU | Multitask Generative Adversarial Imitation Learning for Multi-Domain Dialogue System. | Chuan-En Hsu, Mahdin Rohmatillah, Jen-Tzung Chien |
| 2021 | CIKM | Corrective Guidance and Learning for Dialogue Management. | Mahdin Rohmatillah, Jen-Tzung Chien |
| 2021 | ICASSP | Continuous-Time Self-Attention in Neural Differential Equation. | Jen-Tzung Chien, Yi-Hsiang Chen |
| 2021 | ICASSP | Dualformer: A Unified Bidirectional Sequence-to-Sequence Learning. | Jen-Tzung Chien, Wei-Hsiang Chang |
| 2021 | ICASSP | Attribute Decomposition for Flow-Based Domain Mapping. | Sheng-Jhe Huang, Jen-Tzung Chien |
| 2021 | ICASSP | Variational Dialogue Generation with Normalizing Flows. | Tien-Ching Luo, Jen-Tzung Chien |
| 2021 | IJCNN | Collaborative Regularization for Bidirectional Domain Mapping. | Jen-Tzung Chien, Wei-Hsiang Chang |
| 2021 | IJCNN | Stochastic Temporal Difference Learning for Sequence Data. | Jen-Tzung Chien, Yi-Chung Chiu |
| 2021 | Interspeech | Online Compressive Transformer for End-to-End Speech Recognition. | Chi-Hang Leong, Yu-Han Huang, Jen-Tzung Chien |
| 2021 | Interspeech | Causal Confusion Reduction for Robust Multi-Domain Dialogue Policy. | Mahdin Rohmatillah, Jen-Tzung Chien |
| 2020 | CIKM | Neural Bayesian Information Processing. | Jen-Tzung Chien |
| 2020 | ICASSP | Information Maximized Variational Domain Adversarial Learning for Speaker Verification. | Youzhi Tu, Man-Wai Mak, Jen-Tzung Chien |
| 2020 | IJCNN | Stochastic Convolutional Recurrent Networks. | Jen-Tzung Chien, Yu-Min Huang |
| 2020 | IJCNN | Stochastic Curiosity Maximizing Exploration. | Jen-Tzung Chien, Po-Chien Hsu |
| 2020 | IJCNN | Stochastic Adversarial Learning for Domain Adaptation. | Jen-Tzung Chien, Ching-Wei Huang |
| 2020 | IJCNN | Amortized Mixture Prior for Variational Sequence Generation. | Jen-Tzung Chien, Chih-Jung Tsai |
| 2020 | Interspeech | Stochastic Convolutional Recurrent Networks for Language Modeling. | Jen-Tzung Chien, Yu-Min Huang |
| 2020 | Interspeech | Stochastic Curiosity Exploration for Dialogue Systems. | Jen-Tzung Chien, Po-Chien Hsu |
| 2020 | Interspeech | Strategies for End-to-End Text-Independent Speaker Verification. | Weiwei Lin, Man-Wai Mak, Jen-Tzung Chien |
| 2020 | WSDM | Deep Bayesian Data Mining. | Jen-Tzung Chien |
| 2019 | ACL | Deep Bayesian Natural Language Processing. | Jen-Tzung Chien |
| 2019 | ASRU | Bayesian Adversarial Learning for Speaker Recognition. | Jen-Tzung Chien, Chun Lin Kuo |
| 2019 | ASRU | Markov Recurrent Neural Network Language Model. | Jen-Tzung Chien, Che-Yu Kuo |
| 2019 | ICASSP | Stochastic Markov Recurrent Neural Network for Source Separation. | Jen-Tzung Chien, Che-Yu Kuo |
| 2019 | ICASSP | Variational and Hierarchical Recurrent Autoencoder. | Jen-Tzung Chien, Chun-Wei Wang |
| 2019 | ICASSP | Semi-supervised Nuisance-attribute Networks for Domain Adaptation. | Wei-Wei Lin, Man-Wai Mak, Youzhi Tu, Jen-Tzung Chien |
| 2019 | Interspeech | Meta Learning for Hyperparameter Optimization in Dialogue System. | Jen-Tzung Chien, Wei Xiang Lieow |
| 2019 | Interspeech | Self Attention in Variational Sequential Learning for Summarization. | Jen-Tzung Chien, Chun-Wei Wang |
| 2019 | Interspeech | Variational Domain Adversarial Learning for Speaker Verification. | Youzhi Tu, Man-Wai Mak, Jen-Tzung Chien |
| 2019 | KDD | Deep Bayesian Mining, Learning and Understanding. | Jen-Tzung Chien |
| 2018 | COLING | Deep Bayesian Learning and Understanding. | Jen-Tzung Chien |
| 2018 | ICASSP | Spectro-Temporal Neural Factorization for Speech Dereverberation. | Jen-Tzung Chien, Kuan-Ting Kuo |
| 2018 | ICASSP | Recall Neural Network for Source Separation. | Jen-Tzung Chien, Kai-Wei Tsou |
| 2017 | ASRU | Adversarial manifold learning for speaker recognition. | Jen-Tzung Chien, Kang-Ting Peng |
| 2017 | ICASSP | Variational manifold learning for speaker recognition. | Jen-Tzung Chien, Cheng-Wei Hsu |
| 2017 | ICASSP | Power-law stochastic neighbor embedding. | Huan-Hsin Tseng, Issam El-Naqa, Jen-Tzung Chien |
| 2017 | Interspeech | Variational Recurrent Neural Networks for Speech Separation. | Jen-Tzung Chien, Kuan-Ting Kuo |
| 2017 | Interspeech | Stochastic Recurrent Neural Network for Speech Recognition. | Jen-Tzung Chien, Chen Shen |
| 2017 | Interspeech | Deep Neural Factorization for Speech Recognition. | Jen-Tzung Chien, Chen Shen |
| 2016 | ICASSP | Deep discriminative manifold learning. | Jen-Tzung Chien, Ching-Huai Chen |
| 2016 | ICASSP | Deep unfolding inference for supervised topic model. | Chao-Hsi Lee, Jen-Tzung Chien |
| 2016 | ICASSP | Automatic speech recognition for acoustical analysis and assessment of cantonese pathological voice and speech. | Tan Lee, Yuanyuan Liu, Pei-Wen Huang, Jen-Tzung Chien, Wang-Kong Lam, Yu Ting Yeung, Thomas K. T. Law, Kathy Y. S. Lee, Anthony Pak-Hin Kong, Sam-Po Law |
| 2016 | ICASSP | Discriminative deep recurrent neural networks for monaural speech separation. | Guan-Xiang Wang, Chung-Chien Hsu, Jen-Tzung Chien |
| 2016 | Interspeech | Hybrid Accelerated Optimization for Speech Recognition. | Jen-Tzung Chien, Pei-Wen Huang, Tan Lee |
| 2016 | Interspeech | Discriminative Layered Nonnegative Matrix Factorization for Speech Separation. | Chung-Chien Hsu, Tai-Shih Chi, Jen-Tzung Chien |
| 2015 | ICASSP | The shared dirichlet priors for bayesian language modeling. | Jen-Tzung Chien |
| 2015 | ICASSP | Deep recurrent regularization neural network for speech recognition. | Jen-Tzung Chien, Tsai-Wei Lu |
| 2015 | ICASSP | Modulation Wiener filter for improving speech intelligibility. | Chung-Chien Hsu, Kah-Meng Cheong, Jen-Tzung Chien, Tai-Shih Chi |
| 2015 | Interspeech | Layered nonnegative matrix factorization for speech separation. | Chung-Chien Hsu, Jen-Tzung Chien, Tai-Shih Chi |
| 2014 | Interspeech | The nested indian buffet process for flexible topic modeling. | Jen-Tzung Chien, Ying-Lan Chang |
| 2014 | Interspeech | Binary mask estimation based on frequency modulations. | Chung-Chien Hsu, Jen-Tzung Chien, Tai-Shih Chi |
| 2014 | Interspeech | Bayesian factorization and selection for speech and music separation. | Po-Kai Yang, Chung-Chien Hsu, Jen-Tzung Chien |
| 2013 | ICASSP | Bayesian latent variable models for speech recognition. | Jen-Tzung Chien, Peng Liu |
| 2013 | Interspeech | Hierarchical pitman-yor and dirichlet process for language model. | Jen-Tzung Chien, Ying-Lan Chang |
| 2012 | Interspeech | Group Sparse Hidden Markov Models for Speech Recognition. | Jen-Tzung Chien, Cheng-Chun Chiang |
| 2012 | Interspeech | Bayesian Group Sparse Learning for Nonnegative Matrix Factorization. | Jen-Tzung Chien, Hsin-Lung Hsieh |
| 2011 | ASRU | Some properties of Bayesian sensing hidden Markov models. | George Saon, Jen-Tzung Chien |
| 2011 | ICASSP | Multi-view and multi-objective semi-supervised learning for large vocabulary continuous speech recognition. | Xiaodong Cui, Jing Huang, Jen-Tzung Chien |
| 2011 | ICASSP | Nonstationary and temporally correlated source separation using Gaussian process. | Hsin-Lung Hsieh, Jen-Tzung Chien |
| 2011 | ICASSP | Bayesian sensing hidden Markov models for speech recognition. | George Saon, Jen-Tzung Chien |
| 2011 | ICASSP | Discriminative training for Bayesian sensing hidden Markov models. | George Saon, Jen-Tzung Chien |
| 2010 | ICASSP | Topic cache language model for speech recognition. | Chuang-Hua Chueh, Jen-Tzung Chien |
| 2010 | ICASSP | Online Bayesian learning for dynamic source separation. | Hsin-Lung Hsieh, Jen-Tzung Chien |
| 2010 | ICASSP | A new nonnegative matrix factorization for independent component analysis. | Hsin-Lung Hsieh, Jen-Tzung Chien |
| 2010 | ICASSP | Variational inference for conditional random fields. | Chih-Pin Liao, Jen-Tzung Chien |
| 2010 | ICASSP | A new topic-bridged model for transfer learning. | Meng-Sung Wu, Jen-Tzung Chien |
| 2010 | Interspeech | Online Gaussian process for nonstationary speech separation. | Hsin-Lung Hsieh, Jen-Tzung Chien |
| 2009 | ICASSP | Latent Dirichlet learning for document summarization. | Ying-Lang Chang, Jen-Tzung Chien |
| 2009 | ICASSP | Bayesian large margin hidden Markov models for speech recognition. | Jung-Chun Chen, Jen-Tzung Chien |
| 2009 | ICASSP | Independent component analysis for noisy speech recognition. | Hsin-Lung Hsieh, Jen-Tzung Chien, Koichi Shinoda, Sadaoki Furui |
| 2009 | ICASSP | An evidence framework for Bayesian learning of continuous-density hidden Markov models. | Yu Zhang, Peng Liu, Jen-Tzung Chien, Frank K. Soong |
| 2009 | Interspeech | Nonstationary latent Dirichlet allocation for speech recognition. | Chuang-Hua Chueh, Jen-Tzung Chien |
| 2009 | Interspeech | Factor analyzed HMM topology for speech recognition. | Chuan-Wei Ting, Jen-Tzung Chien |
| 2008 | ICASSP | A new mutual information measure for independent component alalysis. | Jen-Tzung Chien, Hsin-Lung Hsieh, Sadaoki Furui |
| 2008 | ICASSP | Reliable feature selection for language model adaptation. | Chuang-Hua Chueh, Jen-Tzung Chien |
| 2008 | ICASSP | Graphical modeling of conditional random fields for human motion recognition. | Chih-Pin Liao, Jen-Tzung Chien |
| 2008 | Interspeech | Adaptive HMM topology for speech recognition. | Chuan-Wei Ting, Kuo-Yuan Lee, Jen-Tzung Chien |
| 2008 | Interspeech | Bayesian latent topic clustering model. | Meng-Sung Wu, Jen-Tzung Chien |
| 2007 | ASRU | Factor analysis of acoustic features for streamed hidden Markov modeling. | Chuan-Wei Ting, Jen-Tzung Chien |
| 2007 | ICASSP | Recursive Bayesian Regression Modeling and Learning. | Jen-Tzung Chien, Jung-Chun Chen |
| 2007 | Interspeech | Predictive minimum Bayes risk classification for robust speech recognition. | Jen-Tzung Chien, Koichi Shinoda, Sadaoki Furui |
| 2007 | Interspeech | Minimum rank error training for language modeling. | Meng-Sung Wu, Jen-Tzung Chien |
| 2007 | Interspeech | Structural Bayesian language modeling and adaptation. | Sibel Yaman, Jen-Tzung Chien, Chin-Hui Lee |
| 2006 | ICASSP | Towards Optimal Bayes Decision for Speech Recognition. | Jen-Tzung Chien, Chih-Hsien Huang, Koichi Shinoda, Sadaoki Furui |
| 2006 | ICASSP | Maximum Entropy Modeling of Acoustic and Linguistic Features. | Chuang-Hua Chueh, Jen-Tzung Chien |
| 2006 | ICASSP | Maximum Confidence Hidden Markov Modeling. | Chih-Pin Liao, Jen-Tzung Chien |
| 2006 | Interspeech | Subspace modeling and selection for noisy speech recognition. | Jen-Tzung Chien, Chuan-Wei Ting |
| 2005 | ICASSP | Independent component analysis using nonparametric likelihood ratio criterion. | Jen-Tzung Chien, Bo-Cheng Chen |
| 2005 | ICASSP | Aggregate a Posteriori Linear Regression for Speaker Adaptation. | Chih-Hsien Huang, Jen-Tzung Chien |
| 2005 | ICASSP | Nonsingular discriminant feature extraction for face recognition. | Chih-Pin Liao, Jen-Tzung Chien |
| 2005 | Interspeech | Bayesian learning for latent semantic analysis. | Jen-Tzung Chien, Meng-Sung Wu, Chia-Sheng Wu |
| 2005 | Interspeech | Discriminative maximum entropy language model for speech recognition. | Chuang-Hua Chueh, To-Chang Chien, Jen-Tzung Chien |
| 2004 | ICASSP | Bayesian duration modeling and learning for speech recognition. | Jen-Tzung Chien, Chih-Hsien Huang |
| 2004 | Interspeech | Mining of association patterns for language modeling. | Jen-Tzung Chien, Hung-Ying Chen |
| 2004 | Interspeech | Speaker identification using probabilistic PCA model selection. | Jen-Tzung Chien, Chuan-Wei Ting |
| 2004 | Interspeech | On latent semantic language modeling and smoothing. | Jen-Tzung Chien, Meng-Sung Wu, Hua-Jui Peng |
| 2003 | Interspeech | Predictive hidden Markov model selection for decision tree state tying. | Jen-Tzung Chien, Sadaoki Furui |
| 2002 | ICASSP | Compact decision trees with cluster validity for speech recognition. | Jen-Tzung Chien, Chih-Hsien Huang, Shun-Ju Chen |
| 2001 | ICASSP | Online speaker adaptation based on quasi-Bayes linear regression. | Jen-Tzung Chien, Chih-Hsien Huang |
| 2001 | Interspeech | Combined linear regression adaptation and Bayesian predictive classification for robust speech recognition. | Jen-Tzung Chien |
| 2000 | Interspeech | Transformation-based Bayesian predictive classification for online environmental learning and robust speech recognition. | Jen-Tzung Chien, Guo-Hong Liao |
| 1999 | ICASSP | N-best based supervised and unsupervised adaptation for native and non-native speakers in cars. | Patrick Nguyen, Philippe Gelin, Jean-Claude Junqua, Jen-Tzung Chien |
| 1999 | Interspeech | Extraction of reliable transformation parameters for unsupervised speaker adaptation. | Jen-Tzung Chien, Jean-Claude Junqua, Philippe Gelin |
| 1998 | Interspeech | On-line hierarchical transformation of hidden Markov models for speaker adaptation. | Jen-Tzung Chien |
| 1997 | ICASSP | Improved Bayesian learning of hidden Markov models for speaker adaptation. | Jen-Tzung Chien, Chin-Hui Lee, Hsiao-Chuan Wang |
| 1997 | Interspeech | Bayesian affine transformation of HMM parameters for instantaneous and supervised adaptation in telephone speech recognition. | Jen-Tzung Chien, Hsiao-Chuan Wang, Chin-Hui Lee |
| 1996 | ICASSP | Noisy speech recognition using variance adapted likelihood measure. | Jen-Tzung Chien, Lee-Min Lee, Hsiao-Chuan Wang |
| 1996 | Interspeech | Estimation of channel bias for telephone speech recognition. | Jen-Tzung Chien, Hsiao-Chuan Wang, Lee-Min Lee |
| 1995 | Interspeech | Channel estimation for reference model adaptation in telephone speech recognition. | Jen-Tzung Chien, Lee-Min Lee, Hsiao-Chuan Wang |