Personalizing Information Services on Wired and Wireless Networks. - Wei-Po Lee; Ming-Hsiang Su (EEE, 2004)

A user-oriented framework for the design and implementation of pet robots. - Ming-Hsiang Su; Wei-Po Lee; Jian-Hsin Wang (SMC (3), 2004)

A user-centered framework for developing personal pet robots. - Wei-Po Lee; Tsung-Hsien Yang; Ming-Hsiang Su (ROBIO, 2007)

Multi-media e-Learning Platform Using Green Design with Near-Real Approach. - Yuan-Hsun Liao; Chia-Ming Liu; Bo-Yen Wang; Ming-Hsiang Su; Xiaso-Hui Lee; Pao-Ta Yu (Edutainment, 2009)

Interactive Whiteboard Teaching in English Education Based on Dual Code Theory and Bloom Teaching Quality. - Chia-Ming Liu; Bo-Yen Wang; Yuan-Hsun Liao; Ming-Hsiang Su; Pao-Ta Yu (Edutainment, 2009)

Designing an e-Learning Reactivate Promotion for Unpopular Collections in Academic Library. - Bo-Yen Wang; Yuan-Hsun Liao; Chia-Ming Liu; Ming-Hsiang Su; Pao-Ta Yu (Edutainment, 2009)

Design an e-Broadcasting System for Students' Online Learning. - Pao-Ta Yu; Ming-Hsiang Su; Yen-Shou Lai; Hsiao-Hui Su (ICHL, 2009)

Developing a Mulitmedia Learning Model Based on Hands-On Learning: A Cognitive Apprenticeship Approach. - Bo-Yen Wang; Ming-Hsiang Su; Pao-Ta Yu (ICHL, 2010)

Digital Learning Video Indexing Using Scene Detection. - Yuan-Hsun Liao; Cheng-Yu Tsai; Ming-Hsiang Su; Hsiao-Hui Li; Pao-Ta Yu (ICHL, 2011)

Digital Microscope Recording System to Enhance Students' Understanding of Biological Observation. - Ming-Hsiang Su; Yuan-Hsun Liao; Cheng-Yu Tsai; Bo-Yen Wang; Pao-Ta Yu (ICHL, 2011)

An Audio Instrument Design for Improving Interactive and Cooperative Learning. - Cheng-Yu Tsai; Yuan-Hsun Liao; Ming-Hsiang Su; Pao-Ta Yu (ICHL, 2011)

Using Activity Tree Structure to Edit Materials of the Multi-Touch eBook. - Yuan-Hsun Liao; Hsiao-Hui Li; Po-Jen Cheng; Ming-Hsiang Su; Cheng-Yu Tsai; Pao-Ta Yu (ICCE, 2012)

A Near-Reality Approach to Improve the e-Learning Open Courseware. - Pao-Ta Yu; Yuan-Hsun Liao; Ming-Hsiang Su (J. Educ. Technol. Soc., 2013)

Interlocutor personality perception based on BFI profiles and coupled HMMs in a dyadic conversation. - Ming-Hsiang Su; Yu-Ting Zheng; Chung-Hsien Wu 001 (ISCSLP, 2014)

Lecture capture with real-time rearrangement of visual elements: impact on student performance. - Pao-Ta Yu; Bo-Yen Wang; Ming-Hsiang Su (J. Comput. Assist. Learn., 2015)

Dialog State Tracking and action selection using deep learning mechanism for interview coaching. - Ming-Hsiang Su; Kun-Yi Huang; Tsung-Hsien Yang; Kuan-Jung Lai; Chung-Hsien Wu 001 (IALP, 2016)

Dialog state tracking for interview coaching using two-level LSTM. - Ming-Hsiang Su; Chung-Hsien Wu 001; Kun-Yi Huang; Tsung-Hsien Yang; Tsui-Ching Huang (ISCSLP, 2016)

Detection of mood disorder using speech emotion profiles and LSTM. - Tsung-Hsien Yang; Chung-Hsien Wu 001; Kun-Yi Huang; Ming-Hsiang Su (ISCSLP, 2016)

Exploiting Turn-Taking Temporal Evolution for Personality Trait Perception in Dyadic Conversations. - Ming-Hsiang Su; Chung-Hsien Wu 001; Yu-Ting Zheng (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Mood disorder identification using deep bottleneck features of elicited speech. - Kun-Yi Huang; Chung-Hsien Wu 001; Ming-Hsiang Su; Chia-Hui Chou (APSIPA, 2017)

Personality trait perception from speech signals using multiresolution analysis and convolutional neural networks. - Ming-Hsiang Su; Chung-Hsien Wu 001; Kun-Yi Huang; Qian-Bei Hong; Hsin-Min Wang (APSIPA, 2017)

Mood detection from daily conversational speech using denoising autoencoder and LSTM. - Kun-Yi Huang; Chung-Hsien Wu 001; Ming-Hsiang Su; Hsiang-Chi Fu (ICASSP, 2017)

Miscommunication handling in spoken dialog systems based on error-aware dialog state detection. - Chung-Hsien Wu 001; Ming-Hsiang Su; Wei-Bin Liang (EURASIP J. Audio Speech Music. Process., 2017)

Coupled HMM-based multimodal fusion for mood disorder detection through elicited audio-visual signals. - Tsung-Hsien Yang; Chung-Hsien Wu 001; Kun-Yi Huang; Ming-Hsiang Su (J. Ambient Intell. Humaniz. Comput., 2017)

Attention-Based Dialog State Tracking for Conversational Interview Coaching. - Ming-Hsiang Su; Chung-Hsien Wu 001; Kun-Yi Huang; Chu-Kwang Chen (ICASSP, 2018)

Follow-up Question Generation Using Pattern-based Seq2seq with a Small Corpus for Interview Coaching. - Ming-Hsiang Su; Chung-Hsien Wu 001; Kun-Yi Huang; Qian-Bei Hong; Huai-Hung Huang (INTERSPEECH, 2018)

Speech Emotion Recognition using Convolutional Neural Network with Audio Word-based Embedding. - Kun-Yi Huang; Chung-Hsien Wu 001; Qian-Bei Hong; Ming-Hsiang Su; Yuan-Rong Zeng (ISCSLP, 2018)

Sequential Speaker Embedding and Transfer Learning for Text-Independent Speaker Identification. - Qian-Bei Hong; Chung-Hsien Wu 001; Ming-Hsiang Su; Hsin-Min Wang (APSIPA, 2019)

Automatic Ontology Population Using Deep Learning for Triple Extraction. - Ming-Hsiang Su; Chung-Hsien Wu 001; Po-Chen Shih (APSIPA, 2019)

Speech Emotion Recognition Using Deep Neural Network Considering Verbal and Nonverbal Speech Sounds. - Kun-Yi Huang; Chung-Hsien Wu 001; Qian-Bei Hong; Ming-Hsiang Su; Yi-Hsuan Chen (ICASSP, 2019)

Follow-Up Question Generation Using Neural Tensor Network-Based Domain Ontology Population in an Interview Coaching System. - Ming-Hsiang Su; Chung-Hsien Wu 001; Yi Chang (INTERSPEECH, 2019)

Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses. - Kun-Yi Huang; Chung-Hsien Wu 001; Ming-Hsiang Su (Pattern Recognit., 2019)

Response Selection and Automatic Message-Response Expansion in Retrieval-Based QA Systems using Semantic Dependency Pair Model. - Ming-Hsiang Su; Chung-Hsien Wu 001; Kun-Yi Huang; Wu-Hsuan Lin (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019)

Detecting Unipolar and Bipolar Depressive Disorders from Elicited Speech Responses Using Latent Affective Structure Model. - Kun-Yi Huang; Chung-Hsien Wu 001; Ming-Hsiang Su; Yu-Ting Kuo (IEEE Trans. Affect. Comput., 2020)

Attention-Based Response Generation Using Parallel Double Q-Learning for Dialog Policy Decision in a Conversational System. - Ming-Hsiang Su; Chung-Hsien Wu 001; Liang-Yu Chen (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

A Two-Stage Transformer-Based Approach for Variable-Length Abstractive Summarization. - Ming-Hsiang Su; Chung-Hsien Wu 001; Hao-Tse Cheng (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Cell-Coupled Long Short-Term Memory With L-Skip Fusion Mechanism for Mood Disorder Detection Through Elicited Audiovisual Features. - Ming-Hsiang Su; Chung-Hsien Wu 001; Kun-Yi Huang; Tsung-Hsien Yang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Speech Emotion Recognition Based on CNN+LSTM Model. - Wei Mou; Pei-Hsuan Shen; Chu-Yun Chu; Yu-Cheng Chiu; Tsung-Hsien Yang; Ming-Hsiang Su (ROCLING, 2021)

SoochowDS at ROCLING-2021 Shared Task: Text Sentiment Analysis Using BERT and LSTM. - Ruei-Cyuan Su; Sing-Seong Chong; Tzu-En Su; Ming-Hsiang Su (ROCLING, 2021)

Discussion on the relationship between elders' daily conversations and cognitive executive function: using word vectors and regression models. - Ming-Hsiang Su; Yu-An Ko; Man-Ying Wang (ROCLING, 2021)

Exploring Macroscopic and Microscopic Fluctuations of Elicited Facial Expressions for Mood Disorder Classification. - Qian-Bei Hong; Chung-Hsien Wu 001; Ming-Hsiang Su; Chia-Cheng Chang (IEEE Trans. Affect. Comput., 2021)

Speech Emotion Recognition Considering Nonverbal Vocalization in Affective Conversations. - Jia-Hao Hsu; Ming-Hsiang Su; Chung-Hsien Wu 001; Yi-Hsuan Chen (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Comparison of Statistical Algorithms and Deep Learning for Slovak Document Classification. - Daniel Hládek; Ján Stas; Matús Pleva; Ming-Hsiang Su (ICCE-TW, 2022)

A Preliminary Study on Taiwanese OCR for Assisting Textual Database Construction from Historical Documents. - Yuan-Fu Liao; Yu-Hsuan Huang; Matús Pleva; Daniel Hládek; Ming-Hsiang Su (ISCSLP, 2022)

BERT-based Chinese Medicine Named Entity Recognition Model Applied to Medication Reminder Dialogue System. - Tsung-Hsien Yang; Matús Pleva; Daniel Hládek; Ming-Hsiang Su (ISCSLP, 2022)

RoBERTa-based Traditional Chinese Medicine Named Entity Recognition Model. - Ming-Hsiang Su; Chin-Wei Lee; Chi-Lun Hsu; Ruei-Cyuan Su (ROCLING, 2022)

SCU-MESCLab at ROCLING-2022 Shared Task: Named Entity Recognition Using BERT Classifier. - Tsung-Hsien Yang; Ruei-Cyuan Su; Tzu-En Su; Sing-Seong Chong; Ming-Hsiang Su (ROCLING, 2022)

Question Answering System Based on Pre-Training Model and Retrieval Reranking for Industry 4.0. - Ta-Fu Chen; Yi-Xing Lin; Ming-Hsiang Su; Po-Kai Chen; Tzu-Chiang Tai; Jia-Ching Wang (APSIPA ASC, 2023)

Application of Wafer Defect Pattern Classification Model in the Semiconductor Industry. - Chin-Wei Lee; Daniel Hládek; Matús Pleva; Yuan-Fu Liao; Ming-Hsiang Su (APSIPA ASC, 2023)

Give Drivers a Safe Way Home:Early Warning of Car Accidents through Deep Learning. - Zhao-Jie He; Ming-Hsiang Su (ICCE-Taiwan, 2023)

Named Entity Recognition for Chinese Healthcare Applications. - Cheng-Yen Lee; Ming-Hsiang Su; Matús Pleva; Daniel Hládek; Yuan-Fu Liao (ICCE-Taiwan, 2023)

The Application of Sports Imaging Technology in the Study of Basketball Free Throw Technique. - Ming-Hsiang Su; Jui-Che Hsu (ICCE-Taiwan, 2024)

Optimized YOLOv5 and Spatial Pyramid Pooling to Enhance Industrial Defect Detection. - Ming-Hsiang Su; Zhi-Juan Jian (ICCE-Taiwan, 2024)

Automated Checkout System Using Deep Learning to Detect Product Image Classification. - Ming-Hsiang Su; Chun-Yu Lin (ICCE-Taiwan, 2024)

Application of Skeleton Image Detection in Basketball Free Throw Posture Research. - Jui-Che Hsu; Ming-Hsiang Su (IIAI-AAI, 2024)

Surface Defect Detection in Industrial Parts Using the YOLO-based Method with Enhanced Spatial Features and Attention Mechanism. - Zhi-Juan Jian; Ming-Hsiang Su (IIAI-AAI, 2024)

Model in Product Categorization. - Chun-Yu Lin; Ming-Hsiang Su (IIAI-AAI, 2024)

Analysis and Discussion of Feature Extraction Technology for Musical Genre Classification. - Shu-Hua Chen; Wei-Ting Huang; Cheng-Hao Lai; Yu-Lun Lin; Ming-Hsiang Su (O-COCOSDA, 2024)

Implementation of Sound Direction Detection and Mixed Source Separation in Embedded Systems. - 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 (Sensors, 2024)