The framework of competitive advantage based chance discovery. - Chao-Fu Hong; Leuo-hong Wang; Jheng-Long Wu (SMC, 2008)

Social Chance Discovery. - Jheng-Long Wu; Chao-Fu Hong; Chien-Jen Huang (SMC, 2009)

A Partially Connected Neural Evolutionary Network for Stock Price Index Forecasting. - Di-di Wang; Pei-Chann Chang; Jheng-Long Wu; Changle Zhou (ICIC (3), 2011)

Detecting causality from online psychiatric texts using inter-sentential language patterns. - Jheng-Long Wu; Liang-Chih Yu; Pei-Chann Chang (BMC Medical Informatics Decis. Mak., 2012)

The stability analysis for a novel feedback neural network with partial connection. - Di-di Wang; Pei-Chann Chang; Li Zhang 004; Jheng-Long Wu; Changle Zhou (Neurocomputing, 2013)

Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news. - Liang-Chih Yu; Jheng-Long Wu; Pei-Chann Chang; Hsuan-Shou Chu (Knowl. Based Syst., 2013)

The weighted Support Vector Machines for the stock turning point prediction. - Pei-Chann Chang; Jheng-Long Wu (ISDA, 2014)

An intelligent stock trading system using comprehensive features. - Jheng-Long Wu; Liang-Chih Yu; Pei-Chann Chang (Appl. Soft Comput., 2014)

A Prediction System for Bike Sharing Using Artificial Immune System with Regression Trees. - Jheng-Long Wu; Pei-Chann Chang (IIAI-AAI, 2015)

A critical feature extraction by kernel PCA in stock trading model. - Pei-Chann Chang; Jheng-Long Wu (Soft Comput., 2015)

A Hybrid Model Combining SOMs with SVRs for Patent Quality Analysis and Classification. - Pei-Chann Chang; Jheng-Long Wu; Cheng-Chin Tsao; Chin-Yuan Fan (DMBD, 2016)

A Takagi-Sugeno fuzzy model combined with a support vector regression for stock trading forecasting. - Pei-Chann Chang; Jheng-Long Wu; Jyun-Jie Lin (Appl. Soft Comput., 2016)

A patent quality analysis and classification system using self-organizing maps with support vector machine. - Jheng-Long Wu; Pei-Chann Chang; Cheng-Chin Tsao; Chin-Yuan Fan (Appl. Soft Comput., 2016)

A population-based incremental learning approach with artificial immune system for network intrusion detection. - Meng-Hui Chen; Pei-Chann Chang; Jheng-Long Wu (Eng. Appl. Artif. Intell., 2016)

A Deep Learning Framework for Coreference Resolution Based on Convolutional Neural Network. - Jheng-Long Wu; Wei-Yun Ma (ICSC, 2017)

An Intelligent Patent Summary System Deploying Natural Language Processing and Machining Learning. - Amy J. C. Trappey; Charles V. Trappey; Jack W. C. Wang; Jheng-Long Wu (TE, 2018)

A Deep Recurrent Neural Network for Air Quality Classification. - Xiaosong Zhao; Rui Zhang 039; Jheng-Long Wu; Pei-Chann Chang (J. Inf. Hiding Multim. Signal Process., 2018)

A novel ensemble decision tree based on under-sampling and clonal selection for web spam detection. - Xiao-Yong Lu; Mu-Sheng Chen; Jheng-Long Wu; Pei-Chann Chang; Meng-Hui Chen (Pattern Anal. Appl., 2018)

Patent Quality Classification System Using the Feature Extractor of Deep Recurrent Neural Network. - Jheng-Long Wu (BigComp, 2019)

CEAM: A Novel Approach Using Cycle Embeddings with Attention Mechanism for Stock Price Prediction. - Mu-Hui Yu; Jheng-Long Wu (BigComp, 2019)

A Deep Learning Model for Dimensional ValenceArousal Intensity Prediction in Stock Market. - Jheng-Long Wu; Chi-Sheng Yang; Kai-Hsuan Liu; Min-Tzu Huang (iCAST, 2019)

Using Machine Learning Approach to Identify Synonyms for Document Mining. - Amy J. C. Trappey; Charles V. Trappey; Jheng-Long Wu; Kevin T.-C. Tsai (TE, 2019)

Using an analogical reasoning framework to infer language patterns for negative life events. - Jheng-Long Wu; Xiang Xiao; Liang-Chih Yu; ShaoZhen Ye; K. Robert Lai (BMC Medical Informatics Decis. Mak., 2019)

Bike sharing demand prediction using artificial immune system and artificial neural network. - Pei-Chann Chang; Jheng-Long Wu; Yahui Xu; Min Zhang; Xiao-Yong Lu (Soft Comput., 2019)

Building A Multi-Label Detection Model for Question classification of Auction Website. - I-Ju Lin; Jheng-Long Wu (ROCLING, 2020)

Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model. - Jheng-Long Wu; Yuanye He; Liang-Chih Yu; K. Robert Lai (IEEE Access, 2020)

Intelligent compilation of patent summaries using machine learning and natural language processing techniques. - Amy J. C. Trappey; Charles V. Trappey; Jheng-Long Wu; Jack W. C. Wang (Adv. Eng. Informatics, 2020)

Patent analysis and classification prediction of biomedicine industry: SOM-KPCA-SVM model. - Bingchun Liu; Mingzhao Lai; Jheng-Long Wu; Chuanchuan Fu; Arihant Binaykia (Multim. Tools Appl., 2020)

SCUDS at ROCLING-2021 Shared Task: Using Pretrained Model for Dimensional Sentiment Analysis Based on Sample Expansion Method. - Hsiao-Shih Chen; Pin-Chiung Chen; Shao-Cheng Huang; Yu-Cheng Chiu; Jheng-Long Wu (ROCLING, 2021)

A Corpus for Dimensional Sentiment Classification on YouTube Streaming Service. - Ching-Wen Hsu; Chun-Lin Chou; Hsuan Liu; Jheng-Long Wu (ROCLING, 2021)

Confiscation Detection of Criminal Judgment Using Text Classification Approach. - Hsuan-Tzu Shih; Yu-Cheng Chiu; Hsiao-Shih Chen; Jheng-Long Wu (ROCLING, 2021)

Sentiment analysis of stock markets using a novel dimensional valence-arousal approach. - Jheng-Long Wu; Min-Tzu Huang; Chi-Sheng Yang; Kai-Hsuan Liu (Soft Comput., 2021)

Factor Detection Task of Cyberbullying Using the Deep Learning Model. - Yu-Hsuan Wu; Sheng-Wei Huang; Wei-Yi Chung; Chen-Chia Yu; Jheng-Long Wu (IEEE Big Data, 2022)

SCU-NLP at ROCLING 2022 Shared Task: Experiment and Error Analysis of Biomedical Entity Detection Model. - Sung-Ting Chiou; Sheng-Wei Huang; Ying-Chun Lo; Yu-Hsuan Wu; Jheng-Long Wu (ROCLING, 2022)

A Dimensional Valence-Arousal-Irony Dataset for Chinese Sentence and Context. - Sheng-Wei Huang; Wei-Yi Chung; Yu-Hsuan Wu; Chen-Chia Yu; Jheng-Long Wu (ROCLING, 2022)

Combining Word Vector Technique and Clustering Algorithm for Credit Card Merchant Detection. - Fang-Ju Lee; Ying-Chun Lo; Jheng-Long Wu (ROCLING, 2022)

Sentiment-based masked language modeling for improving sentence-level valence-arousal prediction. - Jheng-Long Wu; Wei-Yi Chung (Appl. Intell., 2022)

Object Detection-driven System for Healthy Eating Recommendations. - Yu-Hsuan Wu; Sheng-Wei Huang; Sung-Ting Chiou; Ying-Chun Lo; Hsin-Yun Hsu; Jheng-Long Wu (ICCE-Taiwan, 2023)

SCUNLP-1 at the NTCIR-17 FinArg-1 Task: Enhancing Classification Prediction through Feature Generation Based on ChatGPT. - Ya-Mien Cheng; Jheng-Long Wu (NTCIR, 2023)

SCUNLP-2 at the NTCIR-17 FinArg-1 Task: Enhancing Argumentative Relationship Recognition in the Classification Model with Language Generation Model Prompts. - Han-Chiang Kao; Hsin-Yun Hsu; Jheng-Long Wu (NTCIR, 2023)

A prediction model of stock market trading actions using generative adversarial network and piecewise linear representation approaches. - Jheng-Long Wu; Xian-Rong Tang; Chin-Hsiung Hsu (Soft Comput., 2023)

Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices. - Jheng-Long Wu; Mingying Lu; Chia-Yun Wang (Appl. Intell., 2023)

Sentiment Analysis of Social Support on Treads of Social Media Using Deep Learning Approach. - Hsin-Yun Hsu; Kai-Chi Yu; Jheng-Long Wu; Kai-Shyang Hsu (HealthCom, 2024)

Research Article Style Transfer and Summarization Using Large Language Model. - Ying-Chun Lo; Jheng-Long Wu; Sung-Ting Chiou (ICCE-Taiwan, 2024)

The Social Stage of Responses: Social Intent Detection in Discussion Threads Using Deep Learning Model. - Sheng-Wei Huang; Jheng-Long Wu; Yu-Hsuan Wu (IJCNN, 2024)

Valence and Arousal Analysis Base on Multimodal Feature Extraction in Video of Streaming Platform. - Han-Chiang Kao; Jheng-Long Wu (IJCNN, 2024)

An Hybrid Clustering and BERT Model for Chinese Threads in Social Media. - Yu-Hsuan Wu; Jheng-Long Wu (IJCNN, 2024)

Dynamic traffic network representation model for improving the prediction performance of passenger flow for mass rapid transit. - Jheng-Long Wu; Wei-Yi Chung; Yu-Hsuan Wu; Yen-Nan Ho (Knowl. Based Syst., 2024)

SCUNLP-1 at the NTCIR-18 FinArg-2 Task: Collaborative LargeLanguage Models for Temporal Classification. - Min-Chin Ho; Jheng-Long Wu (NTCIR, 2025)

SCUNLP-3 at the NTCIR-18 FinArg-2 Task: Template-BasedPrompting and Augmentation. - Hong-Rui Pan; Jheng-Long Wu (NTCIR, 2025)

SCUNLP-2 at the NTCIR-18 FigArg-2 Task: ApplyRepeat-Error-Correction Learning on Text Classification. - Tong-Ru Wu; Jheng-Long Wu (NTCIR, 2025)