Jheng-Long Wu - RankMe

54 papers B 6C 2Journal 20Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	SCUNLP-1 at the NTCIR-18 FinArg-2 Task: Collaborative LargeLanguage Models for Temporal Classification. NTCIR Min-Chin Ho, Jheng-Long Wu
2025	—	`conf`	SCUNLP-2 at the NTCIR-18 FigArg-2 Task: ApplyRepeat-Error-Correction Learning on Text Classification. NTCIR Tong-Ru Wu, Jheng-Long Wu
2025	—	`conf`	SCUNLP-3 at the NTCIR-18 FinArg-2 Task: Template-BasedPrompting and Augmentation. NTCIR Hong-Rui Pan, Jheng-Long Wu
2024	B	`conf`	An Hybrid Clustering and BERT Model for Chinese Threads in Social Media. IJCNN Yu-Hsuan Wu, Jheng-Long Wu
2024	J	`jnl`	Dynamic traffic network representation model for improving the prediction performance of passenger flow for mass rapid transit. Knowl. Based Syst. Jheng-Long Wu, Wei-Yi Chung, Yu-Hsuan Wu, Yen-Nan Ho
2024	—	`conf`	Research Article Style Transfer and Summarization Using Large Language Model. ICCE-Taiwan Ying-Chun Lo, Jheng-Long Wu, Sung-Ting Chiou
2024	C	`conf`	Sentiment Analysis of Social Support on Treads of Social Media Using Deep Learning Approach. HealthCom Hsin-Yun Hsu, Kai-Chi Yu, Jheng-Long Wu, Kai-Shyang Hsu
2024	B	`conf`	The Social Stage of Responses: Social Intent Detection in Discussion Threads Using Deep Learning Model. IJCNN Sheng-Wei Huang, Jheng-Long Wu, Yu-Hsuan Wu
2024	B	`conf`	Valence and Arousal Analysis Base on Multimodal Feature Extraction in Video of Streaming Platform. IJCNN Han-Chiang Kao, Jheng-Long Wu
2023	J	`jnl`	A prediction model of stock market trading actions using generative adversarial network and piecewise linear representation approaches. Soft Comput. Jheng-Long Wu, Xian-Rong Tang, Chin-Hsiung Hsu
2023	J	`jnl`	Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices. Appl. Intell. Jheng-Long Wu, Mingying Lu, Chia-Yun Wang
2023	—	`conf`	Object Detection-driven System for Healthy Eating Recommendations. ICCE-Taiwan Yu-Hsuan Wu, Sheng-Wei Huang, Sung-Ting Chiou, Ying-Chun Lo, Hsin-Yun Hsu, Jheng-Long Wu
2023	—	`conf`	SCUNLP-1 at the NTCIR-17 FinArg-1 Task: Enhancing Classification Prediction through Feature Generation Based on ChatGPT. NTCIR Ya-Mien Cheng, Jheng-Long Wu
2023	—	`conf`	SCUNLP-2 at the NTCIR-17 FinArg-1 Task: Enhancing Argumentative Relationship Recognition in the Classification Model with Language Generation Model Prompts. NTCIR Han-Chiang Kao, Hsin-Yun Hsu, Jheng-Long Wu
2022	—	`conf`	A Dimensional Valence-Arousal-Irony Dataset for Chinese Sentence and Context. ROCLING Sheng-Wei Huang, Wei-Yi Chung, Yu-Hsuan Wu, Chen-Chia Yu, Jheng-Long Wu
2022	—	`conf`	Combining Word Vector Technique and Clustering Algorithm for Credit Card Merchant Detection. ROCLING Fang-Ju Lee, Ying-Chun Lo, Jheng-Long Wu
2022	B	`conf`	Factor Detection Task of Cyberbullying Using the Deep Learning Model. IEEE Big Data Yu-Hsuan Wu, Sheng-Wei Huang, Wei-Yi Chung, Chen-Chia Yu, Jheng-Long Wu
2022	—	`ed.`	Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20-23, 2022 AACL/IJCNLP (Findings) Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu
2022	—	`ed.`	Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 1: Long Papers, Online Only, November 20-23, 2022 AACL/IJCNLP (1) Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu
2022	—	`ed.`	Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 2: Short Papers, Online only, November 20-23, 2022 AACL/IJCNLP (2) Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu
2022	—	`conf`	SCU-NLP at ROCLING 2022 Shared Task: Experiment and Error Analysis of Biomedical Entity Detection Model. ROCLING Sung-Ting Chiou, Sheng-Wei Huang, Ying-Chun Lo, Yu-Hsuan Wu, Jheng-Long Wu
2022	J	`jnl`	Sentiment-based masked language modeling for improving sentence-level valence-arousal prediction. Appl. Intell. Jheng-Long Wu, Wei-Yi Chung
2021	—	`conf`	A Corpus for Dimensional Sentiment Classification on YouTube Streaming Service. ROCLING Ching-Wen Hsu, Chun-Lin Chou, Hsuan Liu, Jheng-Long Wu
2021	—	`conf`	Confiscation Detection of Criminal Judgment Using Text Classification Approach. ROCLING Hsuan-Tzu Shih, Yu-Cheng Chiu, Hsiao-Shih Chen, Jheng-Long Wu
2021	—	`conf`	SCUDS at ROCLING-2021 Shared Task: Using Pretrained Model for Dimensional Sentiment Analysis Based on Sample Expansion Method. ROCLING Hsiao-Shih Chen, Pin-Chiung Chen, Shao-Cheng Huang, Yu-Cheng Chiu, Jheng-Long Wu
2021	J	`jnl`	Sentiment analysis of stock markets using a novel dimensional valence-arousal approach. Soft Comput. Jheng-Long Wu, Min-Tzu Huang, Chi-Sheng Yang, Kai-Hsuan Liu
2020	—	`conf`	Building A Multi-Label Detection Model for Question classification of Auction Website. ROCLING I-Ju Lin, Jheng-Long Wu
2020	J	`jnl`	Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model. IEEE Access Jheng-Long Wu, Yuanye He, Liang-Chih Yu, K. Robert Lai
2020	J	`jnl`	Intelligent compilation of patent summaries using machine learning and natural language processing techniques. Adv. Eng. Informatics Amy J. C. Trappey, Charles V. Trappey, Jheng-Long Wu, Jack W. C. Wang
2020	J	`jnl`	Patent analysis and classification prediction of biomedicine industry: SOM-KPCA-SVM model. Multim. Tools Appl. Bingchun Liu, Mingzhao Lai, Jheng-Long Wu, Chuanchuan Fu, Arihant Binaykia
2019	—	`conf`	A Deep Learning Model for Dimensional ValenceArousal Intensity Prediction in Stock Market. iCAST Jheng-Long Wu, Chi-Sheng Yang, Kai-Hsuan Liu, Min-Tzu Huang
2019	J	`jnl`	Bike sharing demand prediction using artificial immune system and artificial neural network. Soft Comput. Pei-Chann Chang, Jheng-Long Wu, Yahui Xu, Min Zhang, Xiao-Yong Lu
2019	—	`conf`	CEAM: A Novel Approach Using Cycle Embeddings with Attention Mechanism for Stock Price Prediction. BigComp Mu-Hui Yu, Jheng-Long Wu
2019	—	`conf`	Patent Quality Classification System Using the Feature Extractor of Deep Recurrent Neural Network. BigComp Jheng-Long Wu
2019	—	`conf`	Using Machine Learning Approach to Identify Synonyms for Document Mining. TE Amy J. C. Trappey, Charles V. Trappey, Jheng-Long Wu, Kevin T.-C. Tsai
2019	J	`jnl`	Using an analogical reasoning framework to infer language patterns for negative life events. BMC Medical Informatics Decis. Mak. Jheng-Long Wu, Xiang Xiao, Liang-Chih Yu, Shaozhen Ye, K. Robert Lai
2018	J	`jnl`	A Deep Recurrent Neural Network for Air Quality Classification. J. Inf. Hiding Multim. Signal Process. Xiaosong Zhao, Rui Zhang, Jheng-Long Wu, Pei-Chann Chang
2018	J	`jnl`	A novel ensemble decision tree based on under-sampling and clonal selection for web spam detection. Pattern Anal. Appl. Xiao-Yong Lu, Mu-Sheng Chen, Jheng-Long Wu, Pei-Chann Chang, Meng-Hui Chen
2018	—	`conf`	An Intelligent Patent Summary System Deploying Natural Language Processing and Machining Learning. TE Amy J. C. Trappey, Charles V. Trappey, Jack W. C. Wang, Jheng-Long Wu
2017	—	`conf`	A Deep Learning Framework for Coreference Resolution Based on Convolutional Neural Network. ICSC Jheng-Long Wu, Wei-Yun Ma
2016	—	`conf`	A Hybrid Model Combining SOMs with SVRs for Patent Quality Analysis and Classification. DMBD Pei-Chann Chang, Jheng-Long Wu, Cheng-Chin Tsao, Chin-Yuan Fan
2016	J	`jnl`	A Takagi-Sugeno fuzzy model combined with a support vector regression for stock trading forecasting. Appl. Soft Comput. Pei-Chann Chang, Jheng-Long Wu, Jyun-Jie Lin
2016	J	`jnl`	A patent quality analysis and classification system using self-organizing maps with support vector machine. Appl. Soft Comput. Jheng-Long Wu, Pei-Chann Chang, Cheng-Chin Tsao, Chin-Yuan Fan
2016	J	`jnl`	A population-based incremental learning approach with artificial immune system for network intrusion detection. Eng. Appl. Artif. Intell. Meng-Hui Chen, Pei-Chann Chang, Jheng-Long Wu
2015	—	`conf`	A Prediction System for Bike Sharing Using Artificial Immune System with Regression Trees. IIAI-AAI Jheng-Long Wu, Pei-Chann Chang
2015	J	`jnl`	A critical feature extraction by kernel PCA in stock trading model. Soft Comput. Pei-Chann Chang, Jheng-Long Wu
2014	J	`jnl`	An intelligent stock trading system using comprehensive features. Appl. Soft Comput. Jheng-Long Wu, Liang-Chih Yu, Pei-Chann Chang
2014	C	`conf`	The weighted Support Vector Machines for the stock turning point prediction. ISDA Pei-Chann Chang, Jheng-Long Wu
2013	J	`jnl`	The stability analysis for a novel feedback neural network with partial connection. Neurocomputing Di-di Wang, Pei-Chann Chang, Li Zhang, Jheng-Long Wu, Changle Zhou
2013	J	`jnl`	Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news. Knowl. Based Syst. Liang-Chih Yu, Jheng-Long Wu, Pei-Chann Chang, Hsuan-Shou Chu
2012	J	`jnl`	Detecting causality from online psychiatric texts using inter-sentential language patterns. BMC Medical Informatics Decis. Mak. Jheng-Long Wu, Liang-Chih Yu, Pei-Chann Chang
2011	—	`conf`	A Partially Connected Neural Evolutionary Network for Stock Price Index Forecasting. ICIC (3) Di-di Wang, Pei-Chann Chang, Jheng-Long Wu, Changle Zhou
2009	B	`conf`	Social Chance Discovery. SMC Jheng-Long Wu, Chao-Fu Hong, Chien-Jen Huang
2008	B	`conf`	The framework of competitive advantage based chance discovery. SMC Chao-Fu Hong, Leuo-hong Wang, Jheng-Long Wu