Using a self-organizing neural network for wafer defect inspection. - Chuan-Yu Chang; Jia-Wei Chang; MuDer Jeng (SMC (5), 2004)

An Unsupervised Self-Organizing Neural Network for Automatic Semiconductor Wafer Defect Inspection. - Chuan-Yu Chang; Jia-Wei Chang; MuDer Jeng (ICRA, 2005)

An unsupervised neural network approach for automatic semiconductor wafer defect inspection. - Chuan-Yu Chang; ChunHsi Li; Jia-Wei Chang; MuDer Jeng (Expert Syst. Appl., 2009)

以線性多變量迴歸來對映分段後音框之語音轉換方法 (A Voice Conversion Method Mapping Segmented Frames with Linear Multivariate Regression) [In Chinese]. - Hung-Yan Gu; Jia-Wei Chang; Zan-Wei Wang (ROCLING, 2012)

A voice conversion method mapping segmented frames with linear multivariate regression. - Hung-Yan Gu; Jia-Wei Chang (ICMLC, 2013)

基於音段式LMR 對映之語音轉換方法的改進 (Improving of Segmental LMR-Mapping Based Voice Conversion Methods) [In Chinese]. - Hung-Yan Gu; Jia-Wei Chang (ROCLING, 2013)

Improving of Segmental LMR-Mapping Based Voice Conversion Method. - Hung-Yan Gu; Jia-Wei Chang (Int. J. Comput. Linguistics Chin. Lang. Process., 2013)

A Cluster-based Personalized Item Recommended Approach on the Educational Assessment System. - Chien-Yuan Su; Jia-Wei Chang; Ti Kai Chiu; Tung-Cheng Hsieh (Int. J. Emerg. Technol. Learn., 2015)

Impact of Using Creative Thinking Skills and Open Data on Programming Design in a Computer-Supported Collaborative Learning Environment. - Jia-Wei Chang; Tzone-I Wang; Ming-Che Lee; Chien-Yuan Su; Po-Chin Chang (ICALT, 2016)

Integrating a semantic-based retrieval agent into case-based reasoning systems: A case study of an online bookstore. - Jia-Wei Chang; Ming-Che Lee; Tzone I. Wang (Comput. Ind., 2016)

The Effects of Fusing 635 Brainstorming and C-Sketch Methods on the Creativity of Industrial Design. - Chih-Chao Hsu; Tzone-I Wang; Ke-Jie Lin; Jia-Wei Chang (ICALT, 2017)

A Deep Convolutional Neural Network Based Virtual Elderly Companion Agent. - Ming-Che Lee; Sheng-Cheng Yeh; Sheng Yu Chiu; Jia-Wei Chang (MMSys, 2017)

A Deep Convolutional Neural Network based Chinese Menu Recognition App. - Ming-Che Lee; Sheng Yu Chiu; Jia-Wei Chang (Inf. Process. Lett., 2017)

Adaptive Deep Learning-Based Air Quality Prediction Model Using the Most Relevant Spatial-Temporal Relations. - Ping-Wei Soh; Jia-Wei Chang; Jen-Wei Huang (IEEE Access, 2018)

Email security level classification of imbalanced data using artificial neural network: The real case in a world-leading enterprise. - Jen-Wei Huang; Chia-Wen Chiang; Jia-Wei Chang (Eng. Appl. Artif. Intell., 2018)

User Intention-Based Document Summarization on Heterogeneous Sentence Networks. - Hsiu-Yi Wang; Jia-Wei Chang; Jen-Wei Huang (DASFAA (2), 2019)

Forecasting the Short-term Price Trend of Taiwan Stocks with Deep Neural Network. - Ming-Che Lee; Jie-Shan Liao; Sheng-Cheng Yeh; Jia-Wei Chang (IC4E, 2020)

Enabling Intelligent Environment by the Design of Emotionally Aware Virtual Assistant: A Case of Smart Campus. - Po-Sheng Chiu; Jia-Wei Chang; Ming-Che Lee; Ching-Hui Chen; Da-Sheng Lee (IEEE Access, 2020)

Using Variation Theory as a Guiding Principle in an OOP Assisted Syntax Correction Learning System. - Ming-Che Lee; Jia-Wei Chang; Tzone-I Wang; Zi Feng Huang (Int. J. Emerg. Technol. Learn., 2020)

Insights into relevant knowledge extraction techniques: a comprehensive review. - Abdul Shahid; Muhammad Tanvir Afzal; Moloud Abdar; Mohammad Ehsan Basiri; Xujuan Zhou; Neil Y. Yen; Jia-Wei Chang (J. Supercomput., 2020)

Analysis of interpolation algorithms for the missing values in IoT time series: a case of air quality in Taiwan. - Neil Y. Yen; Jia-Wei Chang; Jia-Yi Liao; You-Ming Yong (J. Supercomput., 2020)

A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics. - Jia-Yi Liao; Ya-Hsuan Lin; Kuan-Cheng Lin; Jia-Wei Chang (ROCLING, 2021)

Multi-level transfer learning for improving the performance of deep neural networks: Theory and practice from the tasks of facial emotion recognition and named entity recognition. - Jason C. Hung; Jia-Wei Chang (Appl. Soft Comput., 2021)

Singability-enhanced lyric generator with music style transfer. - Jia-Wei Chang; Jason C. Hung; Kuan-Cheng Lin (Comput. Commun., 2021)

Exploring the effectiveness of deep neural networks with technical analysis applied to stock market prediction. - Ming-Che Lee; Jia-Wei Chang; Jason C. Hung; Bae-Ling Chen (Comput. Sci. Inf. Syst., 2021)

Music recommender using deep embedding-based features and behavior-based reinforcement learning. - Jia-Wei Chang; Ching-Yi Chiou; Jia-Yi Liao; Ying-Kai Hung; Chien-Che Huang; Kuan-Cheng Lin; Ying-Hung Pu (Multim. Tools Appl., 2021)

A Study on Using Different Audio Lengths in Transfer Learning for Improving Chainsaw Sound Recognition. - Jia-Wei Chang; Zhong-Yun Hu (ROCLING, 2022)

Design of a NLP-empowered finance fraud awareness model: the anti-fraud chatbot for fraud detection and fraud classification as an instance. - Jia-Wei Chang; Neil Yuwen Yen; Jason C. Hung (J. Ambient Intell. Humaniz. Comput., 2022)

Applying attention-based BiLSTM and technical indicators in the design and performance analysis of stock trading strategies. - Ming-Che Lee; Jia-Wei Chang; Sheng-Cheng Yeh; Tsorng-Lin Chia; Jie-Shan Liao; Xu-Ming Chen (Neural Comput. Appl., 2022)

Research on Chinese Speech Emotion Recognition Based on Deep Neural Network and Acoustic Features. - Ming-Che Lee; Sheng-Cheng Yeh; Jia-Wei Chang; Zhen-Yi Chen (Sensors, 2022)

Enabling progressive system integration for AIoT and speech-based HCI through semantic-aware computing. - Jia-Wei Chang (J. Supercomput., 2022)

Human movement science-informed multi-task spatio temporal graph convolutional networks for fitness action recognition and evaluation. - Jia-Wei Chang; Ming-Hung Chen; Hao-Shang Ma; Hao-Lan Liu (Appl. Soft Comput., 2024)

Guest editorial: Deep learning techniques in intelligent internet of things and 5G communication networks. - Jia-Wei Chang; Nigel Lin; Qingguo Zhou; Yi-Zeng Hsieh; Mirjana Ivanovic (Comput. Sci. Inf. Syst., 2024)

Exploring the distributed learning on federated learning and cluster computing via convolutional neural networks. - Jia-Wei Chang; Jason C. Hung; Ting-Hong Chu (Neural Comput. Appl., 2024)

Multi-Level Transfer Learning using Incremental Granularities for environmental sound classification and detection. - Jia-Wei Chang; Hao-Shang Ma; Zhong-Yun Hu (Appl. Soft Comput., 2025)