Kuan-Yu ChenAssociate Professor

Dr. Kuan-Yu Chen is currently an Associate Professor in the Department of Computer Science and Information Engineering at National Taiwan University of Science and Technology. His expertise includes large language model adaptation and applications, speech recognition, information retrieval and document summarization, and natural language processing. Recently, he has been deeply engaged in artificial intelligence for speech processing and has published significant findings in speech recognition in high-impact international journals.

  • Publications 
      1. T. -L. Chin, K. -Y. Chen, D. -Y. Chen and T. -H. Wang, “An Attention-Based Hypocenter Estimator for Earthquake Localization,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-10, 2022, Art no. 5905510, doi: 10.1109/TGRS.2021.3103012.
      2. F. -H. Yu, K. -Y. Chen and K. -H. Lu, “Non-Autoregressive ASR Modeling Using Pre-Trained Language Models for Chinese Speech Recognition,” in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 30, pp. 1474-1482, 2022, doi: 10.1109/TASLP.2022.3166400.
      3. C. -C. Kuo and K. -Y. Chen, “Toward Zero-Shot and Zero-Resource Multilingual Question Answering,” in IEEE Access, vol. 10, pp. 99754-99761, 2022, doi: 10.1109/ACCESS.2022.3207569.
      4. C. -C. Kuo, K. -Y. Chen and S. -B. Luo, “Audio-Aware Spoken Multiple-Choice Question Answering With Pre-Trained Language Models,” in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 3170-3179, 2021, doi: 10.1109/TASLP.2021.3120638.
      5. T. -L. Chin, K. -Y. Chen, D. -Y. Chen and D. -E. Lin, “Intelligent Real-Time Earthquake Detection by Recurrent Neural Networks,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 8, pp. 5440-5449, Aug. 2020, doi: 10.1109/TGRS.2020.2966012.
      6. K. -Y. Chen, S. -H. Liu, B. Chen and H. -M. Wang, “An Information Distillation Framework for Extractive Summarization,” in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 26, no. 1, pp. 161-170, Jan. 2018, doi: 10.1109/TASLP.2017.2764545.