World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4667
World Ranking
12680
National Ranking
115

Overview

Jen-Tzung Chien is affiliated with National Yang Ming Chiao Tung University in Taiwan and has contributed extensively to the field of computer science. The primary areas of research include artificial intelligence, signal processing, computer vision and pattern recognition, analytical chemistry, and cardiology and cardiovascular medicine.

This researcher has a notable focus on speech and audio technologies, encompassing topics such as speech recognition and synthesis, speech and audio processing, topic modeling, music and audio processing, natural language processing techniques, speech and dialogue systems, and generative adversarial networks and image synthesis.

Frequent publication venues reflect a concentration in both specialized journals and broader conferences, including:

  • arXiv (Cornell University)
  • APSIPA Transactions on Signal and Information Processing
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Among recent papers authored or co-authored by Jen-Tzung Chien are:

  • "Variational Domain Adversarial Learning With Mutual Information Maximization for Speaker Verification" (2020), published in IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Contrastive Adversarial Domain Adaptation Networks for Speaker Recognition" (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • "Automatic Classification of Myocardial Infarction Using Spline Representation of Single-Lead Derived Vectorcardiography" (2020), published in Sensors
  • "Continuous-Time Attention for Sequential Learning" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Bayesian asymmetric quantized neural networks" (2023), published in Pattern Recognition

Co-authors with frequent collaborations include Man-Wai Mak, Mahdin Rohmatillah, Yung-Jhe Yan, Chi-Cho Huang, and Chang-Ting Chu.

Jen-Tzung Chien's publication record also includes a book titled Machine Learning for Speaker Recognition, published by Cambridge University Press in 2020.

Best Publications

  • Discriminant waveletfaces and nearest feature classifiers for face recognition

    Jen-Tzung Chien;Chia-Chen Wu

  • Deep reinforcement learning for automated radiation adaptation in lung cancer.

    Huan Hsin Tseng;Yi Luo;Sunan Cui;Jen Tzung Chien;Jen Tzung Chien

  • Large-Vocabulary Continuous Speech Recognition Systems: A Look at Some Recent Advances

    G. Saon;Jen-Tzung Chien

  • Bayesian Recurrent Neural Network for Language Modeling

    Jen-Tzung Chien;Yuan-Chu Ku

  • Adaptive Bayesian Latent Semantic Analysis

    Jen-Tzung Chien;Meng-Sung Wu

  • Introduction to the Special Section on Deep Learning for Speech and Language Processing

    Dong Yu;G. Hinton;N. Morgan;Jen-Tzung Chien

  • Tensor-Factorized Neural Networks

    Jen-Tzung Chien;Yi-Ting Bao

  • Bayesian Speech and Language Processing

    Shinji Watanabe;Jen-Tzung Chien

  • Dirichlet Class Language Models for Speech Recognition

    Jen-Tzung Chien;Chuang-Hua Chueh

  • A new independent component analysis for speech recognition and separation

    Jen-Tzung Chien;Bo-Cheng Chen

  • Latent Dirichlet learning for document summarization

    Ying-Lang Chang;Jen-Tzung Chien

  • Online hierarchical transformation of hidden Markov models for speech recognition

    Jen-Tzung Chien

  • Maximum Confidence Hidden Markov Modeling for Face Recognition

    Jen-Tzung Chien;Chin-Pin Liao

  • Mixture of PLDA for noise robust i-vector speaker verification

    Man-Wai Mak;Xiaomin Pang;Jen-Tzung Chien

  • Predictive hidden Markov model selection for speech recognition

    Jen-Tzung Chien;S. Furui

  • Machine Learning for Speaker Recognition

    Man Wai Mak;Jen-Tzung Chien

  • Multisource I-Vectors Domain Adaptation Using Maximum Mean Discrepancy Based Autoencoders

    Wei-wei Lin;Man-Wai Mak;Jen-Tzung Chien

  • Deep Unfolding for Topic Models

    Jen-Tzung Chien;Chao-Hsi Lee

  • Image-text dual neural network with decision strategy for small-sample image classification

    Fangyi Zhu;Zhanyu Ma;Xiaoxu Li;Xiaoxu Li;Guang Chen

  • Automatic speech recognition for acoustical analysis and assessment of cantonese pathological voice and speech

    Tan Lee;Yuanyuan Liu;Pei-Wen Huang;Jen-Tzung Chien

  • Variational domain adversarial learning for speaker verification

    Youzhi Tu;Man Wai Mak;Jen Tzung Chien

Frequent Co-Authors

Sadaoki Furui
Sadaoki Furui Toyota Institute of Technology
George Saon
George Saon IBM (United States)
Zhanyu Ma
Zhanyu Ma Beijing University of Posts and Telecommunications
Hsin-Min Wang
Hsin-Min Wang Academia Sinica
Zheng-Hua Tan
Zheng-Hua Tan Aalborg University
Jing-Hao Xue
Jing-Hao Xue University College London
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Jun Guo
Jun Guo Beijing University of Posts and Telecommunications
Jean-Claude Junqua
Jean-Claude Junqua Panasonic (Japan)
Ming Xiao
Ming Xiao Royal Institute of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in Computer Science opens up a world of possibilities beyond just programming. For those seeking versatile roles, pairing computer science studies with fields like engineering can lead to online electrical engineering career outcomes in telecommunications, robotics, and renewable energy.

If you’re eager to quickly boost employability, certificate programs that pay well offer specialized skills in areas like cybersecurity, project management, or data analysis—often leading to high-paying jobs with flexible entry points.

Many professionals are also considering the fastest online master's degree options. These accelerated programs let you earn a master’s in as little as one year, helping you advance your career or transition into tech management roles even sooner.

If your goal is long-term value and job security, focusing on masters degrees that are worth it is essential. Degrees in fields like AI, computer science, and information systems continue to see rising demand in the job market, making them strong choices for sustained career growth.

Best Scientists Citing Jen-Tzung Chien

Trending Scientists

Recently Published Articles