Jen-Tzung Chien
Chair Professor
Name Jen-Tzung Chien
Email jtchien@nctu.edu.tw
Office Tel No. 03-5731951
website http://chien.cm.nctu.edu.tw
Research expertise Machine Learning, Deep Learning, Natural Language Processing, Computer Vision
Professor Profile Jen-Tzung Chien received his Ph.D. degree in electrical engineering from National Tsing Hua University, Hsinchu, Taiwan, ROC, in 1997. He is now with the Department of Electrical and Computer Engineering and the Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan. He held the Visiting Professor position at the IBM T. J. Watson Research Center, Yorktown Heights, NY, in 2010. Dr. Chien served as the associate editor of the IEEE Signal Processing Letters in 2008-2011 and the tutorial speaker of the ICASSP in 2012, the INTERSPEECH in 2013, the APSIPA in 2013, the ISCSLP in 2014, the ICASSP in 2015, the INTERSPEECH in 2016, the ICASSP in 2017, and the general co-chair of the IEEE International Workshop on Machine Learning for Signal Processing in 2017. He received the Best Paper Award of the IEEE Automatic Speech Recognition and Understanding Workshop in 2011. He has published extensively, including the book "Bayesian Speech and Language Processing", Cambridge University Press, 2015. He is currently serving as an elected member of the IEEE Machine Learning for Signal Processing Technical Committee.
Job title Chair Professor
Year Paper Title
2018 Jen-Tzung Chien and Yi-Ting Bao, “Tensor-factorized neural networks”, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 5, pp. 1998-2011, 2018.
2018 Jen-Tzung Chien and Chao-Hsi Lee, “Deep unfolding for topic models”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 2, pp. 318-331, February 2018.
2018 Jen-Tzung Chien, “Bayesian nonparametric learning for hierarchical and sparse topics”, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 26, no. 2, pp. 422-435, February 2018.
2018 Jen-Tzung Chien, Chao-Hsi Lee and Zheng-Hua Tan, “Latent Dirichlet mixture model”, Neurocomputing, vol. 278, pp. 12-22, February 2018.
2018 Huan-Hsin Tseng, Yi Luo, Sunan Cui, Jen-Tzung Chien, Randall Ten Haken and Issam El Naqa, “Deep reinforcement learning for automated radiation adaptation in lung cancer”, Medical Physics, vol. 44, no. 12, pp. 6690-6705, December 2017. (Highlighted Article) (AAPM Farrington Daniels Paper Award)
2017 Na Li, Man-Wai Mak and Jen-Tzung Chien, “DNN-driven mixture of PLDA for robust speaker verification”, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 25, no. 6, pp. 1371-1388, June 2017. (MOST 105-2221-E-009-137-MY2) 
2017 Wei-wei Lin, Man-Wai Mak and Jen-Tzung Chien, “Fast scoring for PLDA with uncertainty propagation via I-vector grouping”, Computer Speech and Languagevol. 45, pp. 503-515, September 2017. (MOST 105-2221-E-009-137-MY2)
2017 Na Li, Man-Wai Mak, Wei-wei Lin and Jen-Tzung Chien, “Discriminative subspace modeling of SNR and duration variabilities for robust speaker verification”, Computer Speech and Language, vol. 45, pp. 83-103, April 2017. (MOST 105-2221-E-009-137-MY2) 
2016 Jen-Tzung Chien, “Hierarchical theme and topic modeling”, IEEE Transactions on Neural Networks and Learning Systemsvol. 27, no. 3, pp. 565-578, March 2016. (MOST 103-2221-E-009-078-MY3)' target='_blank'>Jen-Tzung Chien, “Hierarchical theme and topic modeling”, IEEE Transactions on Neural Networks and Learning Systemsvol. 27, no. 3, pp. 565-578, March 2016. (MOST 103-2221-E-009-078-MY3)
2016 Jen-Tzung Chien and Yuan-Chu Ku, “Bayesian recurrent neural network for language modeling”, IEEE Transactions on Neural Networks and Learning Systemsvol. 27, no. 2, pp. 361-374, February 2016. (MOST 103-2221-E-009-078-MY3)
2016 Jen-Tzung Chien and Po-Kai Yang, “Bayesian factorization and learning for monaural source separation”, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 24, no. 1, pp. 185-195, January 2016. (MOST 103-2221-E-009-078-MY3) 
2016 Man-Wai Mak, Xiaomin Pang and Jen-Tzung Chien, “Mixture of PLDA for noise robust i-vector speaker verification”, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 24, no. 1, pp. 130-142, January 2016. (MOST 103-2221-E-009-078-MY3)
2015 Jen-Tzung Chien, “Laplace group sensing for acoustic models”, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 23, no. 5, pp. 909-922, May 2015. (MOST 102-2221-E-009-049-MY3)
2015 Jen-Tzung Chien, “Hierarchical Pitman-Yor-Dirichlet language model”, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 23, no. 8, pp. 1259-1272, August 2015. (MOST 103-2221-E-009-078-MY3)
2015 Jen-Tzung Chien and Ying-Lan Chang, “Bayesian sparse topic model”, Journal of Signal Processing Systems, vol. 74, no. 3, pp. 375-389, March 2014. (NSC 100-2221-E-009-153-MY3)
2015 Jen-Tzung Chien and Hsin-Lung Hsieh, “Bayesian group sparse learning for music source separation”, EURASIP Journal on Audio, Speech, and Music Processing, Article 18, 2013. (NSC 100-2628-E-009-028-MY3)
2014 Xiaodong Cui, Jing Huang and Jen-Tzung Chien, “Multi-view and multi-objective semi-supervised learning for HMM-based automatic speech recognition”, IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 7, pp. 1923-1935, September 2012. (NSC 100-2221-E-006-205-MY3)' target='_blank'>Xiaodong Cui, Jing Huang and Jen-Tzung Chien, “Multi-view and multi-objective semi-supervised learning for HMM-based automatic speech recognition”, IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 7, pp. 1923-1935, September 2012. (NSC 100-2221-E-006-205-MY3)
2013 Jen-Tzung Chien and Hsin-Lung Hsieh, “Nonstationary source separation using sequential and variational Bayesian learning”, IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 5, pp. 681-694, May 2013. (NSC 100-2628-E-006-205-MY3)
2013 George Saon and Jen-Tzung Chien, “Large-vocabulary continuous speech recognition systems – a look at some recent advances”, IEEE Signal Processing Magazine, vol. 29, no. 6, pp. 18-33, November 2012. (NSC 100-2221-E-006-205-MY3)' target='_blank'>George Saon and Jen-Tzung Chien, “Large-vocabulary continuous speech recognition systems – a look at some recent advances”, IEEE Signal Processing Magazine, vol. 29, no. 6, pp. 18-33, November 2012. (NSC 100-2221-E-006-205-MY3)
2012 Jen-Tzung Chien and Jain-Ray Lai, “Use of microphone array and model adaptation for hands-free speech acquisition and recognition”, Journal of VLSI Signal Processing Systemsvol. 36, no. 2-3, pp. 141-151, February-March 2004. (NSC91-2213-E-006-079)
2012 Jen-Tzung ChienOnline hierarchical transformation of hidden Markov models for speech recognitionIEEE Transactions on Speech and Audio Processing, vol. 7, no. 6, pp. 656-667, November 1999. (NSC89-2213-E-006-151)' target='_blank'>Jen-Tzung ChienOnline hierarchical transformation of hidden Markov models for speech recognitionIEEE Transactions on Speech and Audio Processing, vol. 7, no. 6, pp. 656-667, November 1999. (NSC89-2213-E-006-151)
2012 Jen-Tzung Chien and Jean-Claude Junqua, “Unsupervised hierarchical adaptation using reliable selection of cluster-dependent parameters”, Speech Communication, vol. 30, no. 4, pp. 235-253, April 2000. (NSC89-2213-E-006-078)' target='_blank'>Jen-Tzung Chien and Jean-Claude Junqua, “Unsupervised hierarchical adaptation using reliable selection of cluster-dependent parameters”, Speech Communication, vol. 30, no. 4, pp. 235-253, April 2000. (NSC89-2213-E-006-078)
2012 Jen-Tzung Chien and Ming-Shung Lin, “Frame-synchronous noise compensation for hands-free speech recognition in car environments”, IEE Proceedings – Vision, Image and Signal Processing, vol. 147, no. 6, pp.508-515, December 2000. (ITRI G3-88037)' target='_blank'>Jen-Tzung Chien and Ming-Shung Lin, “Frame-synchronous noise compensation for hands-free speech recognition in car environments”, IEE Proceedings – Vision, Image and Signal Processing, vol. 147, no. 6, pp.508-515, December 2000. (ITRI G3-88037)
2012 Jen-Tzung Chien and Guo-Hong Liao, “Transformation-based Bayesian predictive classification using online prior evolution”, IEEE Transactions on Speech and Audio Processing, vol. 9, no. 4, pp. 399-410, May 2001. (NSC89-2213-E-006-078)' target='_blank'>Jen-Tzung Chien and Guo-Hong Liao, “Transformation-based Bayesian predictive classification using online prior evolution”, IEEE Transactions on Speech and Audio Processing, vol. 9, no. 4, pp. 399-410, May 2001. (NSC89-2213-E-006-078)
2012 Jen-Tzung Chien, “Online unsupervised learning of hidden Markov models for adaptive speech recognition”,IEE Proceedings – Vision, Image and Signal Processing, vol. 148, no. 5, pp. 315-324, October 2001. (NSC89-2213-E-006-151)' target='_blank'>Jen-Tzung Chien, “Online unsupervised learning of hidden Markov models for adaptive speech recognition”,IEE Proceedings – Vision, Image and Signal Processing, vol. 148, no. 5, pp. 315-324, October 2001. (NSC89-2213-E-006-151)
2012 Jen-Tzung Chien, “Adaptive hierarchy of hidden Markov models for transformation-based adaptation”,Speech Communication, vol. 36, nos. 3-4, pp. 291-304, March 2002. (NSC89-2213-E-006-151)' target='_blank'>Jen-Tzung Chien, “Adaptive hierarchy of hidden Markov models for transformation-based adaptation”,Speech Communication, vol. 36, nos. 3-4, pp. 291-304, March 2002. (NSC89-2213-E-006-151)
2012 Jen-Tzung Chien, “Quasi-Bayes linear regression for sequential learning of hidden Markov models”, IEEE Transactions on Speech and Audio Processing, vol. 10, no. 5, pp. 268-278, July 2002. (NSC90-2213-E-006-048)' target='_blank'>Jen-Tzung Chien, “Quasi-Bayes linear regression for sequential learning of hidden Markov models”, IEEE Transactions on Speech and Audio Processing, vol. 10, no. 5, pp. 268-278, July 2002. (NSC90-2213-E-006-048)
2012 Jen-Tzung Chien, “A Bayesian prediction approach to robust speech recognition and online environmental learning”, Speech Communicationvol. 37, nos. 3-4, pp. 321-334, July 2002. (NSC89-2213-E-006-151)' target='_blank'>Jen-Tzung Chien, “A Bayesian prediction approach to robust speech recognition and online environmental learning”, Speech Communicationvol. 37, nos. 3-4, pp. 321-334, July 2002. (NSC89-2213-E-006-151)
2012 Jen-Tzung Chien and Chia-Chen Wu, “Discriminant waveletfaces and nearest feature decisions for face recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 12, pp. 1644-1649, December 2002.' target='_blank'>Jen-Tzung Chien and Chia-Chen Wu, “Discriminant waveletfaces and nearest feature decisions for face recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 12, pp. 1644-1649, December 2002.
2012 Jen-Tzung Chien, “Linear regression based Bayesian predictive classification for speech recognition”, IEEE Transactions on Speech and Audio Processing, vol. 11, no. 1, pp. 70-79, January 2003. (NSC90-2213-E-006-048)' target='_blank'>Jen-Tzung Chien, “Linear regression based Bayesian predictive classification for speech recognition”, IEEE Transactions on Speech and Audio Processing, vol. 11, no. 1, pp. 70-79, January 2003. (NSC90-2213-E-006-048)
2012 Jen-Tzung Chien and Chih-Hsien Huang, “Bayesian learning of speech duration models”, IEEE Transactions on Speech and Audio Processing, vol. 11, no. 6, pp. 558-567, November 2003. (NSC94-2213-E-006-017)' target='_blank'>Jen-Tzung Chien and Chih-Hsien Huang, “Bayesian learning of speech duration models”, IEEE Transactions on Speech and Audio Processing, vol. 11, no. 6, pp. 558-567, November 2003. (NSC94-2213-E-006-017)
2012 Jen-Tzung Chien and Chuang-Hua Chueh, “Topic-based hierarchical segmentation”, IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 1, pp. 55-66, January 2012. (NSC 99-221-E-006-147-MY3)' target='_blank'>Jen-Tzung Chien and Chuang-Hua Chueh, “Topic-based hierarchical segmentation”, IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 1, pp. 55-66, January 2012. (NSC 99-221-E-006-147-MY3)
2012 Jen-Tzung Chien, Meng-Sung Wu and Hua-Jui Peng, “Latent semantic language modeling and smoothing”,International Journal of Computational Linguistics and Chinese Language Processing, vol. 9, no. 2, pp. 29-44, August 2004. (NSC95-2213-E-006-007)' target='_blank'>Jen-Tzung Chien, Meng-Sung Wu and Hua-Jui Peng, “Latent semantic language modeling and smoothing”,International Journal of Computational Linguistics and Chinese Language Processing, vol. 9, no. 2, pp. 29-44, August 2004. (NSC95-2213-E-006-007)
2012 Jen-Tzung Chien and Po-Yin Lai, “Car speech enhancement using a microphone array”, International Journal of Speech Technology, vol. 8, no. 1, pp. 79-91, January 2005. (NSC91-2213-E-006-079)' target='_blank'>Jen-Tzung Chien and Po-Yin Lai, “Car speech enhancement using a microphone array”, International Journal of Speech Technology, vol. 8, no. 1, pp. 79-91, January 2005. (NSC91-2213-E-006-079)
2012 Jen-Tzung Chien, “Decision tree state tying using cluster validity criteria”, IEEE Transactions on Speech and Audio Processing, vol. 13, no. 2, pp. 182-193, March 2005. (NSC92-2213-E-006-059)' target='_blank'>Jen-Tzung Chien, “Decision tree state tying using cluster validity criteria”, IEEE Transactions on Speech and Audio Processing, vol. 13, no. 2, pp. 182-193, March 2005. (NSC92-2213-E-006-059)
2012 Jen-Tzung Chien and Sadaoki Furui, “Predictive hidden Markov model selection for speech recognition”,IEEE Transactions on Speech and Audio Processing, vol. 13, no. 3, pp. 377-387, May 2005. (NSC93-2213-E-006- 024)' target='_blank'>Jen-Tzung Chien and Sadaoki Furui, “Predictive hidden Markov model selection for speech recognition”,IEEE Transactions on Speech and Audio Processing, vol. 13, no. 3, pp. 377-387, May 2005. (NSC93-2213-E-006- 024)
2012 Jen-Tzung Chien and Chih-Hsien Huang, “Aggregate a posteriori linear regression adaptation”, IEEE Transactions on Audio, Speech and Language Processing, vol. 14, no. 3, pp. 797-807, May 2006. (NSC95-2213-E-006-025)' target='_blank'>Jen-Tzung Chien and Chih-Hsien Huang, “Aggregate a posteriori linear regression adaptation”, IEEE Transactions on Audio, Speech and Language Processing, vol. 14, no. 3, pp. 797-807, May 2006. (NSC95-2213-E-006-025)
2012 Jen-Tzung Chien and Bo-Cheng Chen, “A new independent component analysis for speech recognition and separation”, IEEE Transactions on Audio, Speech and Language Processing, vol. 14, no. 4, pp. 1245-1254, July 2006. (NSC94-2213-E-006-084)' target='_blank'>Jen-Tzung Chien and Bo-Cheng Chen, “A new independent component analysis for speech recognition and separation”, IEEE Transactions on Audio, Speech and Language Processing, vol. 14, no. 4, pp. 1245-1254, July 2006. (NSC94-2213-E-006-084)
2012 Jen-Tzung Chien, “Association pattern language modeling”, IEEE Transactions on Audio, Speech and Language Processing, vol. 14, no. 5, pp. 1719-1728, September 2006. (NSC96-2213-E-006-003)' target='_blank'>Jen-Tzung Chien, “Association pattern language modeling”, IEEE Transactions on Audio, Speech and Language Processing, vol. 14, no. 5, pp. 1719-1728, September 2006. (NSC96-2213-E-006-003)
2012 Jen-Tzung Chien and Chuan-Wei Ting, “Factor analyzed subspace modeling and selection”, IEEE Transactions on Audio, Speech and Language Processing, vol. 16, no. 1, pp. 239-248, January 2008. (NSC96-2628-E-006-141-MY3)' target='_blank'>Jen-Tzung Chien and Chuan-Wei Ting, “Factor analyzed subspace modeling and selection”, IEEE Transactions on Audio, Speech and Language Processing, vol. 16, no. 1, pp. 239-248, January 2008. (NSC96-2628-E-006-141-MY3)
2012 Jen-Tzung Chien and Meng-Sung Wu, “Adaptive Bayesian latent semantic analysis”, IEEE Transactions on Audio, Speech and Language Processing, vol. 16, no. 1, pp. 198-207, January 2008. (NSC96-2628-E-006-141-MY3)' target='_blank'>Jen-Tzung Chien and Meng-Sung Wu, “Adaptive Bayesian latent semantic analysis”, IEEE Transactions on Audio, Speech and Language Processing, vol. 16, no. 1, pp. 198-207, January 2008. (NSC96-2628-E-006-141-MY3)
2012 Jen-Tzung Chien and Chih-Pin Liao, “Maximum confidence hidden Markov modeling for face recognition”,IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 4, pp. 606-616, April 2008. (NSC97-2221-E-006-230-MY3)' target='_blank'>Jen-Tzung Chien and Chih-Pin Liao, “Maximum confidence hidden Markov modeling for face recognition”,IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 4, pp. 606-616, April 2008. (NSC97-2221-E-006-230-MY3)
2012 Jen-Tzung Chien and Jung-Chun Chen, “Recursive Bayesian linear regression for adaptive classification”,IEEE Transactions on Signal Processing, vol. 57, no. 2, pp. 565-575, February 2009. (NSC97-2221-E-006-230-MY3)' target='_blank'>Jen-Tzung Chien and Jung-Chun Chen, “Recursive Bayesian linear regression for adaptive classification”,IEEE Transactions on Signal Processing, vol. 57, no. 2, pp. 565-575, February 2009. (NSC97-2221-E-006-230-MY3)
2012 Jen-Tzung Chien and Meng-Sung Wu, “Minimum rank error language modeling”, IEEE Transactions on Audio, Speech and Language Processing, vol. 17, no. 2, pp. 267-276, February 2009. (NSC97-2221-E-006-230 -MY3)' target='_blank'>Jen-Tzung Chien and Meng-Sung Wu, “Minimum rank error language modeling”, IEEE Transactions on Audio, Speech and Language Processing, vol. 17, no. 2, pp. 267-276, February 2009. (NSC97-2221-E-006-230 -MY3)
2012 Jen-Tzung Chien and Chuan-Wei Ting, “Acoustic factor analysis for streamed hidden Markov modeling”,IEEE Transactions on Audio, Speech and Language Processing, vol. 17, no. 7, pp. 1279-1291, September 2009. (NSC97-2221-E-006-230-MY3)' target='_blank'>Jen-Tzung Chien and Chuan-Wei Ting, “Acoustic factor analysis for streamed hidden Markov modeling”,IEEE Transactions on Audio, Speech and Language Processing, vol. 17, no. 7, pp. 1279-1291, September 2009. (NSC97-2221-E-006-230-MY3)
2012 Jen-Tzung Chien and Chuang-Hua Chueh, “Joint acoustic and language modeling for speech recognition”,Speech Communication, vol. 52, no. 3, pp. 223-235, March 2010. (NSC97-2221-E-006- 230-MY3)' target='_blank'>Jen-Tzung Chien and Chuang-Hua Chueh, “Joint acoustic and language modeling for speech recognition”,Speech Communication, vol. 52, no. 3, pp. 223-235, March 2010. (NSC97-2221-E-006- 230-MY3)
2012 Jen-Tzung Chien and Chuang-Hua Chueh, “Dirichlet class language models for speech recognition”, IEEE Transactions on Audio, Speech and Language Processing, vol. 19, no. 3, pp. 482-495, March 2011. (NSC97-2221-E-006- 230-MY3)' target='_blank'>Jen-Tzung Chien and Chuang-Hua Chueh, “Dirichlet class language models for speech recognition”, IEEE Transactions on Audio, Speech and Language Processing, vol. 19, no. 3, pp. 482-495, March 2011. (NSC97-2221-E-006- 230-MY3)
2012 George Saon and Jen-Tzung Chien, “Bayesian sensing hidden Markov models”, IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 1, pp. 43-54, January 2012. (NSC 99-2221-E- 006-147-MY3)' target='_blank'>George Saon and Jen-Tzung Chien, “Bayesian sensing hidden Markov models”, IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 1, pp. 43-54, January 2012. (NSC 99-2221-E- 006-147-MY3)
2012 Jen-Tzung Chien and Hsin-Lung Hsieh, “Convex divergence ICA for blind source separation”, IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 1, pp. 290-301, January 2012. (NSC 99-2221-E-006-147-MY3)' target='_blank'>Jen-Tzung Chien and Hsin-Lung Hsieh, “Convex divergence ICA for blind source separation”, IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 1, pp. 290-301, January 2012. (NSC 99-2221-E-006-147-MY3)
Year Paper Title
2018 Jen-Tzung Chien and Kang-Ting Peng, “Adversarial learning and augmentation for speaker recognition”, Proc. of Speaker and Language Recognition Workshop (Odyssey), Les Sables d’Olonne-France, June 2018.
2018 Weiwei Lin, Man-Wai Mak, Longxin Li and Jen-Tzung Chien, “Reducing domain mismatch by maximum mean discrepancy autoencoders”, Proc. of Speaker and Language Recognition Workshop (Odyssey), Les Sables d’Olonne-France, June 2018.
2018 Jen-Tzung Chien and Kai-Wei Tsou, “Recall neural network for source separation”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2956-2960, Calgary-Canada, April 2018.
2018 Jen-Tzung Chien and Kuan-Ting Kuo, “Spectro-temporal neural factorization for speech dereverberation”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5449-5453, Calgary-Canada, April 2018.
2017 Jen-Tzung Chien and Kang-Ting Peng, “Adversarial manifold learning for speaker recognition”, Proc. of IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pp. 599-605, Okinawa-Japan, December 2017.
2017 Fangyi Zhu, Xiaoxu Li, Zhanyu Ma, Guang Chen, Pai Peng, Xiaowei Guo, Jen-Tzung Chien and Jun Guo, “Image-text dual model for small-sample image classification”, Proc. of CCF Chinese Conference on Computer Vision (CCCV), pp. 556-565, Tianjin-China, October 2017.
2017 Jen-Chieh Tsai and Jen-Tzung Chien, “Adversarial domain separation and adaptation”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Tokyo, September 2017.
2017 Kai-Wei Tsou and Jen-Tzung Chien, “Memory augmented neural network for source separation”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Tokyo, September 2017.
2017 Huan-Hsin Tseng, Yi Luo, Jen-Tzung Chien, Randall K. Ten Haken and Issam El Naqa, “Deep reinforcement learning for automated dose adaptation in lung cancer”, Proc. of AAPM Annual Meeting & Exhibition, Denver, July 2017.
2017 Huan-Hsin Tseng, Issam El Naqa and Jen-Tzung Chien, “Power-law stochastic neighbor embedding”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP)pp. 2347-2351, New Orleans, March 2017. 
2017 Jen-Tzung Chien and Ching-Wei Huang, “Variational and adversarial domain adaptation”, Proc. of International Workshop on Symbolic-Neural Learning (SNL), Nagoya, July 2017. 
2017 Jen-Tzung Chien and Chen Shen, “Stochastic recurrent neural network for speech recognition”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), Stockholm-Sweden, August 2017 
2017 Jen-Tzung Chien and Chen Shen, “Deep neural factorization for speech recognition”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), Stockholm-Sweden, August 2017 
2017 Jen-Tzung Chien and Kuan-Ting Kuo, “Variational recurrent neural networks for speech separation”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), Stockholm-Sweden, August 2017. 
2017 Jen-Tzung Chien and Cheng-Wei Hsu, “Variational manifold learning for speaker recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP)pp. 4935-4939, New Orleans, March 2017.
2016 Na Li, Man-Wai Mak and Jen-Tzung Chien, “Deep neural network supervised mixture of PLDA for robust speaker verification”, Proc. of IEEE Spoken Language Technology Workshop (SLT), pp. 186-191, San DiegoDecember 2016.
2016 Jen-Tzung Chien and Alim Misbullah, “Deep long short-term memory networks for speech recognition”, Proc. of International Symposium on Chinese Spoken Language Processing, pp. 1-5, Tianjin-China, October 2016.
2016 Chung-Chien Hsu, Tai-Shih Chi and Jen-Tzung Chien, “Discriminative layered nonnegative matrix factorization for speech separation”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH)pp 560-564, San Francisco, September 2016.
2016 Jen-Tzung Chien, Pei-Wen Huang and Tan Lee, “Hybrid accelerated optimization for speech recognition”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH)pp. 3399-3403, San Francisco, September 2016.
2016 Jen-Tzung Chien and Pei-Wen Huang, “Variance reduction for optimization in speech recognition”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Salerno-Italy, September 2016. 
2016 Jen-Tzung Chien, You-Cheng Chang, “Bayesian learning for speech dereverberation”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Salerno-Italy, September 2016. 
2016 Jen-Tzung Chien, Chao-Hsi Lee and Zheng-Hua Tan, “Dirichlet mixture allocation”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Salerno-Italy, September 2016. 
2016 Jen-Tzung Chien and Pei-Wen Huang, “Variance reduction for optimization in deep neural network”, ICML Workshop on Advances in Non-Convex Analysis and Optimization, New York, June 2016.
2016 Guan-Xiang Wang, Chung-Chien Hsu and Jen-Tzung Chien, “Discriminative deep recurrent neural networks for monaural speech separation”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP)pp. 2544-2548, Shanghai-China, March 2016. 
2016 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 and Sam-Po Law, “Automatic speech recognition for acoustical analysis and assessment of Cantonese pathological voice and speech”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP)pp. 6475-6479, Shanghai-China, March 2016. 
2016 Chao-Hsi Lee and Jen-Tzung Chien, “Deep unfolding inference for supervised topic model”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP)pp. 2279-2283, Shanghai-China, March 2016. 
2016 Jen-Tzung Chien and Ching-Huai Chen, “Deep discriminative manifold learning”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP)pp. 2672-2676, Shanghai-China, March 2016. 
2015 Chung-Chien Hsu, Jen-Tzung Chien and Tai-Shih Chi, “Layered nonnegative matrix factorization for speech separation”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 628-632, Dresden-Germany, September 2015.
2015 Yi-Ting Bao and Jen-Tzung Chien, “Tensor classification network”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Boston, September 2015.
2015 Hung-Yu Chen and Jen-Tzung Chien, “Deep semi-supervised learning for domain adaptation”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Boston, September 2015.
2015 Chung-Chien Hsu, Kah-Meng Cheong, Jen-Tzung Chien and Tai-Shih Chi, “Modulation Wiener filter for improving speech intelligibility”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 370-374, Brisbane-Australia, April 2015.
2015 Jen-Tzung Chien and Tsai-Wei Lu, “Deep recurrent regularization neural network for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4560-4564, Brisbane-Australia, April 2015.
2015 Jen-Tzung Chien, “The shared Dirichlet priors for Bayesian language modeling”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2081-2085, Brisbane-Australia, April 2015.
2015 George Saon and Jen-Tzung Chien, “Some properties of Bayesian sensing hidden Markov models”, Proc. of IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pp. 65-70, Hawaii, December 2011. (Best Paper Award)
2014 Jen-Tzung Chien, Hiroshi Sawada and Shoji Makino, “Adaptive processing and learning for audio source separation”, Proc. of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1-6, Kaohsiung-Taiwan, October 2013.
2014 Jen-Tzung Chien, Yuan-Chu Ku and Mou-Yue Huang, “Rapid Bayesian learning for recurrent neural network language model”, Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP), pp. 34-38, Singapore, September 2014.
2014 Po-Kai Yang, Chung-Chien Hsu and Jen-Tzung Chien, “Bayesian factorization and selection for speech and music separation”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 998-1002, Singapore, September 2014.
2014 Chung-Chien Hsu, Jen-Tzung Chien and Tai-Shih Chi, “Binary mask estimation based on frequency modulations”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 993-997, Singapore, September 2014.
2014 Jen-Tzung Chien and Ying-Lan Chang, “The nested Indian buffet process for flexible topic modeling”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 1434-1437, Singapore, September 2014.
2014 Po-Kai Yang, Chung-Chien Hsu and Jen-Tzung Chien, “Bayesian singing-voice separation”, Proc. of  Annual Conference of International Society for Music Information Retrieval (ISMIR), pp. 507-512, Taipei-Taiwan, October 2014.
2014 Jen-Tzung Chien and Yuan-Chu Ku, “Bayesian recurrent neural network language model”, Prof. of IEEE Spoken Language Technology Workshop (SLT), pp. 206-211, South Lake Tahoe-Nevada, December 2014.
2014 Jen-Tzung Chien and Tsai-Wei Lu, “Tikhonov regularization for deep neural network acoustic modeling”, Prof. of IEEE Spoken Language Technology Workshop (SLT), pp. 147-152, South Lake Tahoe-Nevada, December 2014.
2014 Jen-Tzung Chien and Ying-Lan Chang, “Hierarchical Pitman-Yor and Dirichlet process for language model”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH)pp. 2212-2216, Lyon-France, August 2013.
2014 Jen-Tzung Chien and Ying-Lan Chang, “Hierarchical theme and topic model for summarization”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Southapmton-UK, September 2013.
2013 Jen-Tzung Chien and Peng Liu, “Bayesian latent variable models for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, pp. 7393-7397, May 2013.
2013 Jen-Tzung Chien and Ying-Lan Chang, “Deep learning for topical words and thematic sentences”, ICML Workshop on Deep Learning for Audio, Speech and Language Processing, Atlanta, June 2013.
2013 Chuang-Hua Chueh and Jen-Tzung Chien, “Segmented topic model for text classification and speech recognition”, NIPS Workshop on Applications for Topic Models: Text and Beyond, Whistler-Canada, December 2009.
2013 Ying-Lang Chang and Jen-Tzung Chien, “Adaptation of topic model to new domains using recursive Bayes”, NIPS Workshop on Applications for Topic Models: Text and Beyond, Whistler-Canada, December 2009.
2013 George Saon and Jen-Tzung Chien, “Sparse Bayesian learning for hidden Markov models”, NIPS Workshop on Practical Application of Sparse Modeling: Open Issues and New Directions Whistler-Canada, December 2010.
2013 Jing Huang, Xiaodong Cui and Jen-Tzung Chien, “Cross-view transfer learning for automatic speech recognition”, NIPS Workshop on Transfer Learning by Learning Rich Generative Models, Whistler-Canada, December 2010.
2013 Ying-Lan Chang and Jen-Tzung Chien, “Selection of relevant features for sparse topic model”, NIPS Workshop on Sparse Representation and Low-Rank Approximation, Sierra Nevada-Spain, December 2011. ' target='_blank'>Ying-Lan Chang and Jen-Tzung Chien, “Selection of relevant features for sparse topic model”, NIPS Workshop on Sparse Representation and Low-Rank Approximation, Sierra Nevada-Spain, December 2011. 
2013 Jen-Tzung Chien and Cheng-Chun Chiang, “Group sparse hidden Markov models”, NIPS Workshop on Sparse Representation and Low-Rank Approximation, Sierra Nevada-Spain, December 2011. 
2013 Jen-Tzung Chien and Ying-Lan Chang, “Unsupervised structural learning of word topics and sentence topics”, NIPS Workshop on Deep Learning and Unsupervised Feature Learning, Sierra Nevada-Spain, December 2011. ' target='_blank'>Jen-Tzung Chien and Ying-Lan Chang, “Unsupervised structural learning of word topics and sentence topics”, NIPS Workshop on Deep Learning and Unsupervised Feature Learning, Sierra Nevada-Spain, December 2011. 
2013 Jen-Tzung Chien and Hsin-Lung Hsieh, “Bayesian group sparse learning for nonnegative matrix factorization”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 1552-1555, Portland-Oregon, September 2012.
2013 Jen-Tzung Chien and Cheng-Chun Chiang, “Group sparse hidden Markov models for speech recognition”, Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 2646-2649, Portland-Oregon, September 2012.
2013 Jen-Tzung Chien and Chuang-Hua Chueh, “Latent Dirichlet learning for hierarchical segmentation”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Santander-Spain, September 2012.
2013 George Saon and Jen-Tzung Chien, “Recent developments in large vocabulary continuous speech recognition”, Proc. of APSIPA Annual Summit and Conference, pp. 1-6, Hollywood-California, December 2012.' target='_blank'>George Saon and Jen-Tzung Chien, “Recent developments in large vocabulary continuous speech recognition”, Proc. of APSIPA Annual Summit and Conference, pp. 1-6, Hollywood-California, December 2012.
2013 Ying-Lan Chang and Jen-Tzung Chien, “Bayesian nonparametric language models”, Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP), pp. 188-192, Hong Kong, December 2012.' target='_blank'>Ying-Lan Chang and Jen-Tzung Chien, “Bayesian nonparametric language models”, Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP), pp. 188-192, Hong Kong, December 2012.
2012 Chuan-Wei Ting and Jen-Tzung Chien, “Factor analyzed HMM topology for speech recognition”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 1415-1418, Brighton-UK, September 2009.
2012 Chuang-Hua Chueh and Jen-Tzung Chien, “Nonstationary latent Dirichlet allocation for speech recognition”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 372-375, Brighton-UK, September 2009.
2012 Jen-Tzung Chien and Meng-Sung Wu, “Bridged topic model for transfer learning”, NIPS Workshop on Transfer Learning for Structured Data (http://www.cse.ust.hk/~sinnopan/nips09tlsd/), Whistler-Canada, December 2009.
2012 Chih-Pin Liao and Jen-Tzung Chien, “Variational inference for conditional random fields”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2002-2005, Dallas, March 2010.
2012 Meng-Sung Wu and Jen-Tzung Chien, “A new topic-bridged model for transfer learning”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5346-5349, Dallas, March 2010.
2012 Hsin-Lung Hsieh and Jen-Tzung Chien, “A new nonnegative matrix factorization for independent component analysis”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2026-2029, Dallas, March 2010.
2012 Hsin-Lung Hsieh and Jen-Tzung Chien, “Online Bayesian learning for dynamic source separation”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1950-1953, Dallas, March 2010.
2012 Chuang-Hua Chueh and Jen-Tzung Chien, “Topic cache language model for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5194-5197, Dallas, March 2010.
2012 Hsin-Lung Hsieh and Jen-Tzung Chien, “Online Gaussian process for nonstationary speech separation”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 394-397, Makuhari-Japan, September 2010.
2012 Chuang-Hua Chueh and Jen-Tzung Chien, “Adaptive segment model for spoken document retrieval”, Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP), pp. 261-264, Tainan-Taiwan, November 2010.
2012 Hsin-Lung Hsieh and Jen-Tzung Chien, “Nonstationary and temporally-correlated source separation using Gaussian process”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2120-2123, Prague-Czech, May 2011.' target='_blank'>Hsin-Lung Hsieh and Jen-Tzung Chien, “Nonstationary and temporally-correlated source separation using Gaussian process”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2120-2123, Prague-Czech, May 2011.
2012 Xiaodong Cui, Jing Huang and Jen-Tzung Chien, “Multi-view and multi-objective semi-supervised learning for large vocabulary continuous speech recognition”, Proc. ofInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4668-4671, Prague-Czech, May 2011.' target='_blank'>Xiaodong Cui, Jing Huang and Jen-Tzung Chien, “Multi-view and multi-objective semi-supervised learning for large vocabulary continuous speech recognition”, Proc. ofInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4668-4671, Prague-Czech, May 2011.
2012 George Saon and Jen-Tzung Chien, “Discriminative training for Bayesian sensing hidden Markov models”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5316-5319, Prague-Czech, May 2011.' target='_blank'>George Saon and Jen-Tzung Chien, “Discriminative training for Bayesian sensing hidden Markov models”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5316-5319, Prague-Czech, May 2011.
2012 George Saon and Jen-Tzung Chien, “Bayesian sensing hidden Markov models for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5056-5059, Prague-Czech, May 2011.' target='_blank'>George Saon and Jen-Tzung Chien, “Bayesian sensing hidden Markov models for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5056-5059, Prague-Czech, May 2011.
2012 Ying-Lan Chang, Kuen-Feng Lee and Jen-Tzung Chien, “Bayesian feature selection for sparse topic model”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Beijing, September 2011.' target='_blank'>Ying-Lan Chang, Kuen-Feng Lee and Jen-Tzung Chien, “Bayesian feature selection for sparse topic model”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Beijing, September 2011.
2012 Ying-Lan Chang, Jui-Jung Hung and Jen-Tzung Chien, “Bayesian nonparametric modeling of hierarchical topics and sentences”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Beijing, September 2011.' target='_blank'>Ying-Lan Chang, Jui-Jung Hung and Jen-Tzung Chien, “Bayesian nonparametric modeling of hierarchical topics and sentences”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Beijing, September 2011.
2012 Jung-Chun Chen and Jen-Tzung Chien, “Bayesian large margin hidden Markov models for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3765-3768, Taipei, April 2009.
2012 Hsin-Lung Hsieh, Jen-Tzung Chien, Koichi Shinoda and Sadaoki Furui, “Independent component analysis for noisy speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4369-4372, Taipei, April 2009.
2012 Ying-Lang Chang and Jen-Tzung Chien, “Latent Dirichlet learning for document summarization”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1689-1692, Taipei, April 2009.
2012 Yu Zhang, Peng Liu, Jen-Tzung Chien and Frank Soong, “An evidence framework for Bayesian learning of continuous-density hidden Markov models”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3857-3860, Taipei, April 2009.
2012 Jen-Tzung Chien and Chuang-Hua Chueh, “Latent Dirichlet language model for speech recognition”, Proc. of IEEE Workshop on Spoken Language Technology (SLT), pp. 201-204, Goa-India, December 2008.
2012 Chuang-Hua Chueh and Jen-Tzung Chien, “Continuous topic language modeling for speech recognition”, Proc. of IEEE Workshop on Spoken Language Technology (SLT), pp. 193-196, Goa-India, December 2008.
2012 Ying-Lang Chang and Jen-Tzung Chien, “Language model adaptation for relevance feedback in information retrieval”, Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP), pp. 289-292, Kunming-China, December 2008.
2012 Meng-Sung Wu and Jen-Tzung Chien, “Bayesian latent topic clustering model”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 2162-2165, Brisbane-Australia, September 2008.
2012 Chuan-Wei Ting, Kuo-Yuan Lee and Jen-Tzung Chien, “Adaptive HMM topology for speech recognition”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 1237-1240, Brisbane-Australia, September 2008.
2012 Jen-Tzung Chien, Hsin-Lung Hsieh and Sadaoki Furui, “A new mutual information measure for independent component analysis”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1817-1820, Las Vegas, March 2008.
2012 Chuang-Hua Chueh and Jen-Tzung Chien, “Reliable feature selection for language model adaptation”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5089-5092, Las Vegas, March 2008.
2012 Chih-Pin Liao and Jen-Tzung Chien, “Graphical modeling of conditional random fields for human motion recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1969-1972, Las Vegas, March 2008.
2012 Chuan-Wei Ting and Jen-Tzung Chien, “Factor analysis of acoustic features for streamed hidden Markov modeling”, Proc. of IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pp. 30-35, Kyoto, December 2007.
2012 Sibel Yaman, Jen-Tzung Chien and Chin-Hui Lee, “Structural Bayesian language modeling and adaptation”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 2365-2368, Antwerp-Belgium, August 2007.
2012 Jen-Tzung Chien, Koichi Shinoda and Sadaoki Furui, “Predictive minimum Bayes risk classification for robust speech recognition”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 1062-1065, Antwerp-Belgium, August 2007.
2012 Meng-Sung Wu and Jen-Tzung Chien, “Minimum rank error training for language modeling”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 614-617, Antwerp-Belgium, August 2007.
2012 Jen-Tzung Chien and Jung-Chun Chen, “Recursive Bayesian regression modeling and learning”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 2, pp. 557-560, Hawaii, April 2007.
2012 Jen-Tzung Chien and Chuan-Wei Ting, “Subspace modeling and selection for noisy speech recognition”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 789-792, Pittsburgh, September 2006.
2012 Jen-Tzung Chien, Chih-Hsien Huang, Koichi Shinoda and Sadaoki Furui, “Towards optimal Bayes decision for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 45-48, Toulouse-France, May 2006.
2012 Chuang-Hua Chueh and Jen-Tzung Chien, “Maximum entropy modeling of acoustic and linguistic Features”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 1061-1064, Toulouse-France, May 2006.
2012 Chih-Pin Liao and Jen-Tzung Chien, “Maximum confidence hidden Markov modeling”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 5, pp. 549-552, Toulouse-France, May 2006.
2012 Jen-Tzung Chien, Meng-Sung Wu and Chia-Sheng Wu, “Bayesian learning for latent semantic analysis”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 25-28, Lisbon, September 2005.
2012 Chuang-Hua Chueh, To-Chang Chien and Jen-Tzung Chien, “Discriminative maximum entropy language model for speech recognition”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 721-724, Lisbon, September 2005.
2012 Jen-Tzung Chien and Bo-Cheng Chen, “Independent component analysis using nonparametric likelihood ratio criterion”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 5, pp. 173-176, Philadelphia, March 2005.
2012 Chih-Hsien Huang and Jen-Tzung Chien, “Aggregate a posteriori linear regression for speaker adaptation”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, vol. 1, pp. 973-976, March 2005.
2012 Chih-Pin Liao and Jen-Tzung Chien, “Nonsingular discriminant feature extraction for face recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 2, pp. 957-960, Philadelphia, March 2005.
2012 Jen-Tzung Chien and Chih-Hsien Huang, “Aggregate a posteriori linear regression adaptation of hidden Markov models”, Proc. of Workshop on Statistical Modeling Approach for Speech Recognition Beyond HMM, pp. 73-78, Kyoto, December 2004.
2012 Jen-Tzung Chien and Hung-Ying Chen, “Mining of association patterns for language modeling”, Proc. of International Conference on Spoken Language Processing (ICSLP), vol. 2, pp. 1369-1372, Jeju Island-Korea, October 2004.
2012 Jen-Tzung Chien, Meng-Sung Wu and Hua-Jui Peng, “On latent semantic language modeling and smoothing”, Proc. of International Conference on Spoken Language Processing (ICSLP), vol. 2, pp. 1373-1376, Jeju Island-Korea, October 2004.
2012 Jen-Tzung Chien and Chuan-Wei Ting, “Speaker identification using probabilistic PCA model selection”, Proc. of International Conference on Spoken Language Processing (ICSLP), vol. 3, pp. 1785-1788, Jeju Island-Korea, October 2004.
2012 Jen-Tzung Chien and Chih-Hsien Huang, “Bayesian duration modeling and learning for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 1005-1008, Montreal, May 2004.
2012 Jen-Tzung Chien and Sadaoki Furui, “Predictive hidden Markov model selection for decision tree state tying”, Proc. of European Conference on Speech Communication and Technology (EUROSPEECH), pp. 2701-2704, Geneva, September 2003.
2012 Jen-Tzung Chien and Po-Yin Lai, “Car speech enhancement using microphone array beamforming and post filters”, Proc. of 9th Australian International Conference on Speech Science and Technology, pp. 568-573, Melbourne, December 2002.
2012 Jen-Tzung Chien, Chih-Hsien Huang and Shun-Ju Chen, “Compact decision trees with cluster validity for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 873-876, Orlando, May 2002.
2012 Jen-Tzung Chien, “Combined linear regression adaptation and Bayesian predictive classification for robust speech recognition”, Proc. of European Conference on Speech Communication and Technology (EUROSPEECH), vol. 2, pp. 1131-1134, Aalborg-Denmark, September 2001.
2012 Jen-Tzung Chien, “A Bayesian prediction approach to robust speech recognition and online speaker adaptation”, Proc. of Workshop on Adaptation Methods for Speech Recognition, pp. 77-80, Sophia-Antipolis, France, August 2001.
2012 Jen-Tzung Chien and Chih-Hsien Huang, “Online speaker adaptation based on quasi-Bayes linear regression”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, Salt Lake City, May 2001.
2012 Jen-Tzung Chien, Jian-Rui Lai and Po-Yin Lai “Microphone array signal processing for far-talking speech recognition”, Proc. of 2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 322-325, Taoyuan-Taiwan, March 2001.
2012 Jen-Tzung Chien and Guo-Hong Liao, “Transformation-based Bayesian predictive classification for online environmental learning and robust speech recognition”, Proc. of International Conference on Spoken Language Processing (ICSLP), vol. 4, pp. 544-547, Beijing, October 2000.
2012 Jen-Tzung Chien, “Online unsupervised learning of HMM parameters for speaker adaptation”, Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP), pp. 331-334, Beijing, October 2000.
2012 Jen-Tzung Chien, Jean-Claude Junqua and Philippe Gelin, “Extraction of reliable transformation parameters for unsupervised speaker adaptation”, Proc. of European Conference on Speech Communication and Technology (EUROSPEECH), vol. 1, pp. 207-210, Budapest, September 1999.
2012 Jen-Tzung Chien, “Hybrid adaptation of tree structure and hidden Markov models for robust speech recognition”, Proc. of Workshop on Robust Methods for Speech Recognition in Adverse Conditions, pp. 131-134, Tampere-Finland, May 1999.
2012 Patrick Nguyen, Philippe Gelin, Jean-Claude Junqua and Jen-Tzung Chien, “N-best based supervised and unsupervised adaptation for native and non-native speakers in cars”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 173-176, Phoenix, March 1999.
2012 Jen-Tzung Chien, “On-line hierarchical transformation of hidden Markov models for speaker adaptation”, Proc. of International Conference on Spoken Language Processing (ICSLP), vol. 6, pp. 2295-2298, Sydney, December 1998.
Year Book Title
2016 Jen-Tzung Chien, “Topic modeling for speech and language processing”, Modern Methodology and Applications in Spatial-Temporal Modeling (edited by G. W. Peters and T. Matsui), pp. 87-111 (Chapter 4), Springer, Japan, 2015. (ISBN: 9784431553397) , 2016/01' target='_blank'>Jen-Tzung Chien, “Topic modeling for speech and language processing”, Modern Methodology and Applications in Spatial-Temporal Modeling (edited by G. W. Peters and T. Matsui), pp. 87-111 (Chapter 4), Springer, Japan, 2015. (ISBN: 9784431553397) , 2016/01
2015 Chuang-Hua Chueh, Meng-Sung Wu and Jen-Tzung Chien, “Some advances in language modeling”, Advances in Chinese Spoken Language Processing (edited by C.-H. Lee, H. Li, L. Lee, R.-H. Wang and Q. Huo), pp. 201-226 (Chapter 9), World Scientific Publishing Co., Singapore, December 2006. (ISBN: 9812569049), 2015/08' target='_blank'>Chuang-Hua Chueh, Meng-Sung Wu and Jen-Tzung Chien, “Some advances in language modeling”, Advances in Chinese Spoken Language Processing (edited by C.-H. Lee, H. Li, L. Lee, R.-H. Wang and Q. Huo), pp. 201-226 (Chapter 9), World Scientific Publishing Co., Singapore, December 2006. (ISBN: 9812569049), 2015/08
2015 Shinji Watanabe and Jen-Tzung Chien, Bayesian Speech and Language Processing, Cambridge University Press, July 2015. (ISBN: 9781107055575), 2015/08' target='_blank'>Shinji Watanabe and Jen-Tzung Chien, Bayesian Speech and Language Processing, Cambridge University Press, July 2015. (ISBN: 9781107055575), 2015/08
Project Category Year Project Title Participartor Job Title Period Unit
Research Projects 2018 Deep Learning Theories and Application Jen-Tzung Chien Principal Investigator 2018.01 ~ 2021.12 Ministry of Science and Technology
Research Projects 2017 Deep machine learning based on tensor factorized neural networks Jen-Tzung Chien Principal Investigator 2017.08 ~ 2017.12 Ministry of Science and Technology
Industrial Collaboration 2017 Bayesian Optimization with Gaussian Process Jen-Tzung Chien Principal Investigator 2017.07 ~ 2017.12 Industrial Technology Research Institute
Research Projects 2015 Deep Learning for Speech and Language Processing Jen-Tzung Chien Principal Investigator 2016.08 ~ 2017.12 Ministry of Science and Technology
Industrial Collaboration 2015 Transfer Learning of Deep Neural Network for Domain Adaptation Jen-Tzung Chien Principal Investigator 2015.10 ~ 2015.12 Industrial Technology Research Institute
Research Projects 2014 Bayesian Nonparametric Learning for Speech Recognition and Information Retrieval Jen-Tzung Chien Principal Investigator 2014.08 ~ 2017.07 Ministry of Science and Technology
Industrial Collaboration 2014 DNN-Based Object Representation and Classification Jen-Tzung Chien Principal Investigator 2014.01 ~ 2014.12 Industrial Technology Research Institute
Research Projects 2013 Sparse Machine Learning for Audio, Speech and Language Processing Jen-Tzung Chien Principal Investigator 2013.08 ~ 2016.07 National Science Council
Research Projects 2011 ICA-Based Machine Learning Methods for Speech Separation Jen-Tzung Chien Principal Investigator 2011.08 ~ 2014.07 National Science Council
Research Projects 2011 Machine Learning Methods for Large Vocabulary Continuous Speech Recognition Jen-Tzung Chien Principal Investigator 2011.08 ~ 2014.07 National Science Council
Research Projects 2010 Machine Learning Approaches for Signal Separation, Speech Recognition and Motion Recognition Jen-Tzung Chien Principal Investigator 2010.08 ~ 2013.07 National Science Council
Research Projects 2008 Advanced Machine Learning Methods for Speech, Language and Pattern Recognition Jen-Tzung Chien Principal Investigator 2008.08 ~ 2011.07 National Science Council
Research Projects 2007 Some Statistical Approaches for Adaptive Speech Recognition Jen-Tzung Chien Principal Investigator 2007.08 ~ 2010.07 National Science Council
Research Projects 2005 Unsupervised Learning, Discriminative Adapation and Association Pattern Mining Approaches for Speech Recognition of Broadcast News Jen-Tzung Chien Principal Investigator 2005.08 ~ 2008.07 National Science Council
Research Projects 2004 Robust Feature Extraction, Acoustic Modeling and Language Modeling for Spontaneous Speech Recognition Jen-Tzung Chien Principal Investigator 2004.08 ~ 2007.07 National Science Council
Industrial Collaboration 2004 Fusion of Audio and Visual Biometrics Jen-Tzung Chien Principal Investigator 2004.01 ~ 2004.12 Industrial Technology Research Institute
Research Projects 2003 Using Cluster Validity and Predictive Information Criteria for Acoustic Decision Tree Construction Jen-Tzung Chien Principal Investigator 2003.08 ~ 2005.07 National Science Council
Industrial Collaboration 2002 A Preliminary Study on Intelligent Speech Interface Using Microphone Array Jen-Tzung Chien Principal Investigator 2002.01 ~ 2002.12 Industrial Technology Research Institute
Research Projects 2001 Use of Microphone Array and Bayesian Predictive Classification for Far-Distant Car Speech Acquisition and Recognition Jen-Tzung Chien Principal Investigator 2001.08 ~ 2003.07 National Science Council
Industrial Collaboration 2001 Preliminary Study on 3C Integrated Speech Interface Jen-Tzung Chien Principal Investigator 2001.01 ~ 2001.12 Industrial Technology Research Institute
Research Projects 2000 Adaptation Technique and Strategy of Hidden Markov Models for Robust Speech Recognition Jen-Tzung Chien Principal Investigator 2000.08 ~ 2003.07 National Science Council
Research Projects 1999 Unsupervised Adaptation of Hidden Markov Models for Mandarin Speech Recognition Jen-Tzung Chien 1999.08 ~ 2000.07 National Science Council
Industrial Collaboration 1999 Unsupervised Learning Algorithms for Rapid Speaker Adaptation Jen-Tzung Chien Principal Investigator 1999.07 ~ 2000.12 Industrial Technology Research Institute
Industrial Collaboration 1998 A Noise Robust Algorithm for HMM-Based Speech Recognition Jen-Tzung Chien Principal Investigator 1998.07 ~ 1999.06 Industrial Technology Research Institute
Year Lab Title Location
2018 Machine Learning Laboratory ED912
Country School Name Department Degree Duration
Taiwan National Tsing Hua University Department of Electrical Engineering Ph.D. 1993.08 ~ 1997.07
Organization Title Department Job Title Duration
Association for Computational Linguistics and Chinese Language Processing Board Committee President 2017.10 ~ 2019.09
National Chiao Tung University College of Electrical and Computer Engineering Associate Dean 2015.08 ~ 2017.01
National Chiao Tung University Department of Computer Science Adjunct Professor 2013.08 ~ 2018.07
National Chiao Tung University Department of Electrical and Computer Engineering Professor 2012.08 ~ 0000.01
IBM T. J. Watson Research Center Speech Recognition Group Visiting Professor 2010.01 ~ 2010.07
Microsoft Research Asia, Beijing, China Speech Group Visiting Professor 2008.07 ~ 2008.08
Georgia Institute of Technology, Atlanta, Georgia, USA School of Electrical and Computer Engineering Visiting Professor 2006.07 ~ 2007.02
Tokyo Institute of Technology, Tokyo, Japan Department of Computer Science, Visiting Professor 2002.07 ~ 2002.09
Panasonic Technologies, Inc. , Santa Barbara, California, USA Speech Technology Laboratory Visiting Professor 1998.07 ~ 1998.09
National Cheng Kung University Department of Computer Science and Information Engineering Professor 1997.08 ~ 2012.07
Honor Category Year Award Name Awarding Unit
Internal Honor 2018 Chair Professor National Chiao Tung University
External Honor 2017 Supervisor for student Kai-Wei Tsou who won Master Thesis Award Merry Electronics Co., Ltd.
External Honor 2017 Supervisor for student Jen-Chieh Tsai who won Master Thesis Award Institute of Information & Computing Machinery
External Honor 2017 Supervisor for student Jen-Chieh Tsai who won Master Thesis Award Taiwanese Association for Artificial Intelligence
External Honor 2017 Supervisor for student Ting-An Lin who won Master Thesis Award The Association for Computational Linguistics and Chinese Language Processing
External Honor 2017 Supervisor for student Jen-Chieh Tsai who won Master Thesis Award The Association for Image Processing and Pattern Recognition
External Honor 2017 Research Fellow Ministry of Science and Technology
External Honor 2016 Supervisor for student Kuan-Ting Kuo who won Master Thesis Award Taiwanese Association for Artificial Intelligence
External Honor 2016 Supervisor for student Kuan-Ting Kuo who won Master Thesis Award The Association for Computational Linguistics and Chinese Language Processing
External Honor 2016 Supervisor for student Kuan-Ting Kuo who won Master Thesis Award Merry Electronics Co., Ltd.
External Honor 2015 Supervisor for student Hung-Yu Chen who won Master Thesis Award Taiwanese Association for Artificial Intelligence
External Honor 2015 Supervisor for student Chao-Hsi Lee who won Master Thesis Award The Association for Computational Linguistics and Chinese Language Processing
Internal Honor 2015 Chair Professor National Chiao Tung University
External Honor 2014 Supervisor for student Po-Kai Yang who won Master Thesis Award Merry Electronics Co., Ltd.
External Honor 2014 Supervisor for student Po-Kai Yang who won Master Thesis Award The Association for Computational Linguistics and Chinese Language Processing
External Honor 2014 Supervisor for student Tsai-Wei Lu who won Master Thesis Award The Association for Computational Linguistics and Chinese Language Processing
External Honor 2014 Distinguished Research Award Ministry of Science and Technology
External Honor 2014 Supervisor for student Hsin-Lung Hsieh who won PhD Thesis Award The Association for Image Processing and Pattern Recognition
External Honor 2014 Supervisor for student Po-Kai Yang who won Master Thesis Award Taiwanese Association for Artificial Intelligence
External Honor 2013 Supervisor for student Yun-Che Tsai who won Master Thesis Award The Association for Computational Linguistics and Chinese Language Processing
External Honor 2013 Supervisor for student Yun-Che Tsai who won Master Thesis Award Taiwanese Association for Artificial Intelligence
External Honor 2012 Supervisor for student Hsin-Lung Hsieh who won PhD Thesis Award Taiwanese Association for Artifical Intelligence
External Honor 2012 APSIPA Distinguished Lecturer Asia Pacific Signal and Information Processing Association
External Honor 2012 Supervisor for student Chuang-Hua Chueh who won PhD Thesis Award The Association for Image Processing and Pattern Recognition
External Honor 2012 Distinguished Professor Award The Chinese Institute of Electrical Engineering
External Honor 2012 Supervisor for student Ya-Wen Wu who won Master Thesis Award Taiwanese Association for Artificial Intelligence
External Honor 2012 Supervisor for student Hsin-Lung Hsieh who won PhD Thesis Award Merry Electronics Co., Ltd.
External Honor 2012 Supervisor for student Ya-Wen Wu who won Master Thesis Award The Association for Computational Linguistics and Chinese Language Processing
External Honor 2012 Supervisor for student Hsin-Lung Hsieh who won PhD Thesis Award The Association for Computational Linguistics and Chinese Language Processing
External Honor 2012 Supervisor for student Ya-Wen Wu who won Master Thesis Award Institute of Information & Computing Machinery
External Honor 2011 Supervisor for student Kuen-Feng Lee who won Master Thesis Award Taiwanese Association for Artificial Intelligence
External Honor 2011 Supervisor for student Cheng-Chun Chiang who won Master Thesis Award Merry Electronics Co., Ltd.
External Honor 2011 Best Paper Award, IEEE Automatic Speech Recognition and Understanding (ASRU) Workshop IEEE Signal Processing Society
External Honor 2010 Distinguished Research Award National Science Council
External Honor 2010 Supervisor for student Chuang-Hua Chueh who won PhD Thesis Award The Association for Computational Linguistics and Chinese Language Processing
External Honor 2010 Supervisor for student Chuang-Hua Chueh who won PhD Thesis Award Taiwanese Association for Artifical Intelligence
External Honor 2009 Supervisor for student Hsin-Lung Hsieh who won Student Travel Grant International Conference on Acoustic, Speech, and Signal Processing (ICASSP)
External Honor 2009 Supervisor for student Meng-Sung Wu who won PhD Thesis Award Institute of Information & Computing Machinery
External Honor 2009 Supervisor for student Meng-Sung Wu who won PhD Thesis Award The Association for Computational Linguistics and Chinese Language Processing
External Honor 2008 Distinguished Scholar Project Award National Science Council
External Honor 2006 Distinguished Research Award National Science Council
External Honor 2004 Supervisor for student Chuang-Hua Chueh who won the Best Student Paper Award International Symposium on Chinese Spoken Language Processing (ISCSLP)
External Honor 2004 Research Award for Junior Research Investigators Academia Sinica
External Honor 2003 Supervisor for student Duen-Chi Yang who won Master Thesis Award The Association for Computational Linguistics and Chinese Language Processing
External Honor 2003 Ta-You Wu Memorial Award National Science Council
External Honor 2002 Supervisor for student Chien-Chih Lee who won Master Thesis Award The Association for Computational Linguistics and Chinese Language Processing