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2020 – today
- 2024
[j14]Jian-Hong Wang
, Phuong Thi Le, Weng-Sheng Bee, Wenny Ramadha Putri, Ming-Hsiang Su, Kuo-Chen Li, Shih-Lun Chen, Ji-Long He, Tuan Pham, Yung-Hui Li, Jia-Ching Wang:
Implementation of Sound Direction Detection and Mixed Source Separation in Embedded Systems. Sensors 24(13): 4351 (2024)- [c44]Ming-Hsiang Su, Chun-Yu Lin:
Automated Checkout System Using Deep Learning to Detect Product Image Classification. ICCE-Taiwan 2024: 347-348 - [c43]Ming-Hsiang Su, Zhi-Juan Jian:
Optimized YOLOv5 and Spatial Pyramid Pooling to Enhance Industrial Defect Detection. ICCE-Taiwan 2024: 349-350 - [c42]Ming-Hsiang Su, Jui-Che Hsu:
The Application of Sports Imaging Technology in the Study of Basketball Free Throw Technique. ICCE-Taiwan 2024: 379-380 - [c41]Jui-Che Hsu, Ming-Hsiang Su:
Application of Skeleton Image Detection in Basketball Free Throw Posture Research. IIAI-AAI 2024: 324-328 - [c40]Chun-Yu Lin, Ming-Hsiang Su:
Model in Product Categorization. IIAI-AAI 2024: 415-419 - [c39]Zhi-Juan Jian, Ming-Hsiang Su:
Surface Defect Detection in Industrial Parts Using the YOLO-based Method with Enhanced Spatial Features and Attention Mechanism. IIAI-AAI 2024: 511-515 - [c38]Shu-Hua Chen, Wei-Ting Huang, Cheng-Hao Lai, Yu-Lun Lin, Ming-Hsiang Su:
Analysis and Discussion of Feature Extraction Technology for Musical Genre Classification. O-COCOSDA 2024: 1-4 - 2023
- [c37]Chin-Wei Lee, Daniel Hládek, Matús Pleva, Yuan-Fu Liao, Ming-Hsiang Su:
Application of Wafer Defect Pattern Classification Model in the Semiconductor Industry. APSIPA ASC 2023: 2173-2177 - [c36]Ta-Fu Chen, Yi-Xing Lin, Ming-Hsiang Su, Po-Kai Chen, Tzu-Chiang Tai, Jia-Ching Wang:
Question Answering System Based on Pre-Training Model and Retrieval Reranking for Industry 4.0. APSIPA ASC 2023: 2178-2181 - [c35]Zhao-Jie He, Ming-Hsiang Su:
Give Drivers a Safe Way Home:Early Warning of Car Accidents through Deep Learning. ICCE-Taiwan 2023: 747-748 - [c34]Cheng-Yen Lee, Ming-Hsiang Su, Matús Pleva, Daniel Hládek, Yuan-Fu Liao:
Named Entity Recognition for Chinese Healthcare Applications. ICCE-Taiwan 2023: 749-750 - 2022
- [c33]Daniel Hládek, Ján Stas, Matús Pleva, Ming-Hsiang Su:
Comparison of Statistical Algorithms and Deep Learning for Slovak Document Classification. ICCE-TW 2022: 15-16 - [c32]Yuan-Fu Liao, Yu-Hsuan Huang, Matús Pleva, Daniel Hládek, Ming-Hsiang Su:
A Preliminary Study on Taiwanese OCR for Assisting Textual Database Construction from Historical Documents. ISCSLP 2022: 270-274 - [c31]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 - [c30]Ming-Hsiang Su, Chin-Wei Lee, Chi-Lun Hsu, Ruei-Cyuan Su:
RoBERTa-based Traditional Chinese Medicine Named Entity Recognition Model. ROCLING 2022: 61-66 - [c29]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
- [j13]Qian-Bei Hong, Chung-Hsien Wu, Ming-Hsiang Su, Chia-Cheng Chang:
Exploring Macroscopic and Microscopic Fluctuations of Elicited Facial Expressions for Mood Disorder Classification. IEEE Trans. Affect. Comput. 12(4): 989-1001 (2021) - [j12]Jia-Hao Hsu, Ming-Hsiang Su, Chung-Hsien Wu, Yi-Hsuan Chen:
Speech Emotion Recognition Considering Nonverbal Vocalization in Affective Conversations. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1675-1686 (2021) - [c28]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 - [c27]Ming-Hsiang Su, Yu-An Ko, Man-Ying Wang:
Discussion on the relationship between elders' daily conversations and cognitive executive function: using word vectors and regression models. ROCLING 2021: 58-62 - [c26]Ruei-Cyuan Su, Sing-Seong Chong, Tzu-En Su, Ming-Hsiang Su:
SoochowDS at ROCLING-2021 Shared Task: Text Sentiment Analysis Using BERT and LSTM. ROCLING 2021: 375-379 - 2020
- [j11]Kun-Yi Huang, Chung-Hsien Wu, Ming-Hsiang Su, Yu-Ting Kuo:
Detecting Unipolar and Bipolar Depressive Disorders from Elicited Speech Responses Using Latent Affective Structure Model. IEEE Trans. Affect. Comput. 11(3): 393-404 (2020) - [j10]Ming-Hsiang Su, Chung-Hsien Wu, Liang-Yu Chen:
Attention-Based Response Generation Using Parallel Double Q-Learning for Dialog Policy Decision in a Conversational System. IEEE ACM Trans. Audio Speech Lang. Process. 28: 131-143 (2020) - [j9]Ming-Hsiang Su, Chung-Hsien Wu, Hao-Tse Cheng:
A Two-Stage Transformer-Based Approach for Variable-Length Abstractive Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2061-2072 (2020) - [j8]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
- [j7]Kun-Yi Huang, Chung-Hsien Wu, Ming-Hsiang Su:
Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses. Pattern Recognit. 88: 668-678 (2019) - [j6]Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Wu-Hsuan Lin:
Response Selection and Automatic Message-Response Expansion in Retrieval-Based QA Systems using Semantic Dependency Pair Model. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(1): 3:1-3:24 (2019) - [c25]Ming-Hsiang Su, Chung-Hsien Wu, Po-Chen Shih:
Automatic Ontology Population Using Deep Learning for Triple Extraction. APSIPA 2019: 262-267 - [c24]Qian-Bei Hong, Chung-Hsien Wu, Ming-Hsiang Su, Hsin-Min Wang:
Sequential Speaker Embedding and Transfer Learning for Text-Independent Speaker Identification. APSIPA 2019: 827-832 - [c23]Kun-Yi Huang, Chung-Hsien Wu, Qian-Bei Hong, Ming-Hsiang Su, Yi-Hsuan Chen:
Speech Emotion Recognition Using Deep Neural Network Considering Verbal and Nonverbal Speech Sounds. ICASSP 2019: 5866-5870 - [c22]Ming-Hsiang Su, Chung-Hsien Wu, Yi Chang:
Follow-Up Question Generation Using Neural Tensor Network-Based Domain Ontology Population in an Interview Coaching System. INTERSPEECH 2019: 4185-4189 - 2018
- [c21]Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Chu-Kwang Chen:
Attention-Based Dialog State Tracking for Conversational Interview Coaching. ICASSP 2018: 6144-6148 - [c20]Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Qian-Bei Hong, Huai-Hung Huang:
Follow-up Question Generation Using Pattern-based Seq2seq with a Small Corpus for Interview Coaching. INTERSPEECH 2018: 1006-1010 - [c19]Kun-Yi Huang, Chung-Hsien Wu, Qian-Bei Hong, Ming-Hsiang Su, Yuan-Rong Zeng:
Speech Emotion Recognition using Convolutional Neural Network with Audio Word-based Embedding. ISCSLP 2018: 265-269 - 2017
- [j5]Chung-Hsien Wu, Ming-Hsiang Su, Wei-Bin Liang:
Miscommunication handling in spoken dialog systems based on error-aware dialog state detection. EURASIP J. Audio Speech Music. Process. 2017: 9 (2017) - [j4]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) - [c18]Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Qian-Bei Hong, Hsin-Min Wang:
Personality trait perception from speech signals using multiresolution analysis and convolutional neural networks. APSIPA 2017: 1532-1536 - [c17]Kun-Yi Huang, Chung-Hsien Wu, Ming-Hsiang Su, Chia-Hui Chou:
Mood disorder identification using deep bottleneck features of elicited speech. APSIPA 2017: 1648-1652 - [c16]Kun-Yi Huang, Chung-Hsien Wu, Ming-Hsiang Su, Hsiang-Chi Fu:
Mood detection from daily conversational speech using denoising autoencoder and LSTM. ICASSP 2017: 5125-5129 - 2016
- [j3]Ming-Hsiang Su, Chung-Hsien Wu, Yu-Ting Zheng:
Exploiting Turn-Taking Temporal Evolution for Personality Trait Perception in Dyadic Conversations. IEEE ACM Trans. Audio Speech Lang. Process. 24(4): 733-744 (2016) - [c15]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 - [c14]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 - [c13]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
- [j2]Pao-Ta Yu, Bo-Yen Wang, Ming-Hsiang Su:
Lecture capture with real-time rearrangement of visual elements: impact on student performance. J. Comput. Assist. Learn. 31(6): 655-670 (2015) - 2014
- [c12]Ming-Hsiang Su, Yu-Ting Zheng, Chung-Hsien Wu:
Interlocutor personality perception based on BFI profiles and coupled HMMs in a dyadic conversation. ISCSLP 2014: 178-182 - 2013
- [j1]Pao-Ta Yu, Yuan-Hsun Liao, Ming-Hsiang Su:
A Near-Reality Approach to Improve the e-Learning Open Courseware. J. Educ. Technol. Soc. 16(4): 242-257 (2013) - 2011
- [c11]Ming-Hsiang Su, Yuan-Hsun Liao, Cheng-Yu Tsai, Bo-Yen Wang, Pao-Ta Yu:
Digital Microscope Recording System to Enhance Students' Understanding of Biological Observation. ICHL 2011: 306-315 - [c10]Yuan-Hsun Liao, Cheng-Yu Tsai, Ming-Hsiang Su, Hsiao-Hui Li, Pao-Ta Yu:
Digital Learning Video Indexing Using Scene Detection. ICHL 2011: 336-344 - [c9]Cheng-Yu Tsai, Yuan-Hsun Liao, Ming-Hsiang Su, Pao-Ta Yu:
An Audio Instrument Design for Improving Interactive and Cooperative Learning. ICHL 2011: 357-366 - 2010
- [c8]Bo-Yen Wang, Ming-Hsiang Su, Pao-Ta Yu:
Developing a Mulitmedia Learning Model Based on Hands-On Learning: A Cognitive Apprenticeship Approach. ICHL 2010: 259-269
2000 – 2009
- 2009
- [c7]Bo-Yen Wang, Yuan-Hsun Liao, Chia-Ming Liu, Ming-Hsiang Su, Pao-Ta Yu:
Designing an e-Learning Reactivate Promotion for Unpopular Collections in Academic Library. Edutainment 2009: 536-543 - [c6]Yuan-Hsun Liao, Chia-Ming Liu, Bo-Yen Wang, Ming-Hsiang Su, Xiaso-Hui Lee, Pao-Ta Yu:
Multi-media e-Learning Platform Using Green Design with Near-Real Approach. Edutainment 2009: 544-550 - [c5]Chia-Ming Liu, Bo-Yen Wang, Yuan-Hsun Liao, Ming-Hsiang Su, Pao-Ta Yu:
Interactive Whiteboard Teaching in English Education Based on Dual Code Theory and Bloom Teaching Quality. Edutainment 2009: 551-558 - [c4]Pao-Ta Yu, Ming-Hsiang Su, Yen-Shou Lai, Hsiao-Hui Su:
Design an e-Broadcasting System for Students' Online Learning. ICHL 2009: 101-111 - 2007
- [c3]Wei-Po Lee, Tsung-Hsien Yang, Ming-Hsiang Su:
A user-centered framework for developing personal pet robots. ROBIO 2007: 227-232 - 2004
- [c2]Wei-Po Lee, Ming-Hsiang Su:
Personalizing Information Services on Wired and Wireless Networks. EEE 2004: 263-266 - [c1]Ming-Hsiang Su, Wei-Po Lee, Jian-Hsin Wang:
A user-oriented framework for the design and implementation of pet robots. SMC (3) 2004: 2936-2941
Coauthor Index
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