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2020 – today
- 2022
[c14]Tsung-Hsien Yang, Matús Pleva
, Daniel Hládek, Ming-Hsiang Su:
BERT-based Chinese Medicine Named Entity Recognition Model Applied to Medication Reminder Dialogue System. ISCSLP 2022: 374-378- [c13]Tsung-Hsien Yang, Ruei-Cyuan Su, Tzu-En Su, Sing-Seong Chong, Ming-Hsiang Su:
SCU-MESCLab at ROCLING-2022 Shared Task: Named Entity Recognition Using BERT Classifier. ROCLING 2022: 329-334 - 2021
- [c12]Jia-Hao Hsu, Chung-Hsien Wu, Tsung-Hsien Yang:
Task-Aware BERT-based Sentiment Analysis from Multiple Essences of the Text. APSIPA ASC 2021: 1982-1986 - [c11]Yi-Hsuan Wang, Jia-Hao Hsu, Chung-Hsien Wu, Tsung-Hsien Yang:
Transformer-based Empathetic Response Generation Using Dialogue Situation and Advanced-Level Definition of Empathy. ISCSLP 2021: 1-5 - [c10]Wei Mou, Pei-Hsuan Shen, Chu-Yun Chu, Yu-Cheng Chiu, Tsung-Hsien Yang, Ming-Hsiang Su:
Speech Emotion Recognition Based on CNN+LSTM Model. ROCLING 2021: 43-47 - 2020
- [j7]Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Tsung-Hsien Yang:
Cell-Coupled Long Short-Term Memory With L-Skip Fusion Mechanism for Mood Disorder Detection Through Elicited Audiovisual Features. IEEE Trans. Neural Networks Learn. Syst. 31(1): 124-135 (2020)
2010 – 2019
- 2019
- [c9]Guan-Yu Chen, Min-Feng Kuo, Tsung-Hsien Yang, Chun-Hsun Chen, I-Bin Liao:
預訓練詞向量模型應用於客服對話系統意圖偵測之研究(Study on Pre-trained Word Vector Model Applied to Intent Detection of Customer Service Dialogue System). ROCLING 2019: 62-71 - 2017
- [j6]Tsung-Hsien Yang, Chung-Hsien Wu, Kun-Yi Huang, Ming-Hsiang Su:
Coupled HMM-based multimodal fusion for mood disorder detection through elicited audio-visual signals. J. Ambient Intell. Humaniz. Comput. 8(6): 895-906 (2017) - [c8]Jhih-Yuan Huang, Wei-Po Lee, Tsung-Hsien Yang, Chiang-Sen Ko:
Resource sharing for cloud robots: Service reuse and collective map building. ICAR 2017: 303-309 - 2016
- [c7]Ming-Hsiang Su, Kun-Yi Huang, Tsung-Hsien Yang, Kuan-Jung Lai, Chung-Hsien Wu:
Dialog State Tracking and action selection using deep learning mechanism for interview coaching. IALP 2016: 6-9 - [c6]Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Tsung-Hsien Yang, Tsui-Ching Huang:
Dialog state tracking for interview coaching using two-level LSTM. ISCSLP 2016: 1-5 - [c5]Tsung-Hsien Yang, Chung-Hsien Wu, Kun-Yi Huang, Ming-Hsiang Su:
Detection of mood disorder using speech emotion profiles and LSTM. ISCSLP 2016: 1-5 - 2015
- [c4]Tsung-Hsien Yang, Chiang-Sen Ko, Jhih-Yuan Huang, Wei-Po Lee:
Configuring reusable robot services in a cloud environment. ROBIO 2015: 225-230 - 2013
- [c3]Tsung-Hsien Yang, Wei-Po Lee:
A Service-Oriented Approach with Neural Networks and Knowledge Ontologies for Robot Control. ICONIP (2) 2013: 473-483 - 2011
- [j5]Wei-Po Lee, Tsung-Hsien Yang:
Combining GRN modeling and demonstration-based programming for robot control. Neural Comput. Appl. 20(6): 909-921 (2011) - 2010
- [j4]Wei-Po Lee, Jih-Shiou Jong, Tsung-Hsien Yang:
Evolving behavior sequences for a humanoid entertainment robot. Artif. Life Robotics 15(3): 341-346 (2010) - [j3]Wei-Po Lee, Tsung-Hsien Yang, Bingchiang Jeng:
Building neural network-based behaviour systems for emotion-based pet robots. Int. J. Model. Identif. Control. 11(1/2): 115-123 (2010)
2000 – 2009
- 2009
- [j2]Ying-Dar Lin, Jui-Hung Yeh, Tsung-Hsien Yang, Chia-Yu Ku, Shiao-Li Tsao, Yuan-Cheng Lai:
Efficient dynamic frame aggregation in IEEE 802.11s mesh networks. Int. J. Commun. Syst. 22(10): 1319-1338 (2009) - [c2]Wei-Po Lee, Tsung-Hsien Yang:
Combining GRN Modeling and Demonstration-Based Programming for Robot Control. EANN 2009: 190-199 - 2007
- [c1]Wei-Po Lee, Tsung-Hsien Yang, Ming-Hsiang Su:
A user-centered framework for developing personal pet robots. ROBIO 2007: 227-232 - 2003
- [j1]Wei-Po Lee, Tsung-Hsien Yang:
Personalizing information appliances: a multi-agent framework for TV programme recommendations. Expert Syst. Appl. 25(3): 331-341 (2003)
Coauthor Index
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