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ORCIDJheng-Long Wu
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2020 – today
- 2024
[j20]Jheng-Long Wu
, Wei-Yi Chung, Yu-Hsuan Wu, Yen-Nan Ho:
Dynamic traffic network representation model for improving the prediction performance of passenger flow for mass rapid transit. Knowl. Based Syst. 304: 112442 (2024)- [c24]Sheng-Wei Huang, Jheng-Long Wu, Yu-Hsuan Wu:
The Social Stage of Responses: Social Intent Detection in Discussion Threads Using Deep Learning Model. IJCNN 2024: 1-8 - [c23]Han-Chiang Kao, Jheng-Long Wu:
Valence and Arousal Analysis Base on Multimodal Feature Extraction in Video of Streaming Platform. IJCNN 2024: 1-8 - [c22]Yu-Hsuan Wu, Jheng-Long Wu:
An Hybrid Clustering and BERT Model for Chinese Threads in Social Media. IJCNN 2024: 1-7 - 2023
- [j19]Jheng-Long Wu, Mingying Lu, Chia-Yun Wang:
Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices. Appl. Intell. 53(15): 18531-18546 (2023) - [j18]Jheng-Long Wu, Xian-Rong Tang, Chin-Hsiung Hsu:
A prediction model of stock market trading actions using generative adversarial network and piecewise linear representation approaches. Soft Comput. 27(12): 8209-8222 (2023) - [c21]Yu-Hsuan Wu, Sheng-Wei Huang, Sung-Ting Chiou, Ying-Chun Lo, Hsin-Yun Hsu, Jheng-Long Wu:
Object Detection-driven System for Healthy Eating Recommendations. ICCE-Taiwan 2023: 757-758 - 2022
- [j17]Jheng-Long Wu, Wei-Yi Chung:
Sentiment-based masked language modeling for improving sentence-level valence-arousal prediction. Appl. Intell. 52(14): 16353-16369 (2022) - [c20]Yu-Hsuan Wu, Sheng-Wei Huang, Wei-Yi Chung, Chen-Chia Yu, Jheng-Long Wu:
Factor Detection Task of Cyberbullying Using the Deep Learning Model. IEEE Big Data 2022: 4323-4329 - [c19]Fang-Ju Lee, Ying-Chun Lo, Jheng-Long Wu:
Combining Word Vector Technique and Clustering Algorithm for Credit Card Merchant Detection. ROCLING 2022: 32-39 - [c18]Sheng-Wei Huang, Wei-Yi Chung, Yu-Hsuan Wu, Chen-Chia Yu, Jheng-Long Wu:
A Dimensional Valence-Arousal-Irony Dataset for Chinese Sentence and Context. ROCLING 2022: 147-154 - [c17]Sung-Ting Chiou, Sheng-Wei Huang, Ying-Chun Lo, Yu-Hsuan Wu, Jheng-Long Wu:
SCU-NLP at ROCLING 2022 Shared Task: Experiment and Error Analysis of Biomedical Entity Detection Model. ROCLING 2022: 350-355 - [e3]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:
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. Association for Computational Linguistics 2022, ISBN 978-1-955917-65-0 [contents] - [e2]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:
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. Association for Computational Linguistics 2022, ISBN 978-1-955917-64-3 [contents] - [e1]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:
Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-04-3 [contents] - 2021
- [j16]Jheng-Long Wu, Min-Tzu Huang, Chi-Sheng Yang, Kai-Hsuan Liu:
Sentiment analysis of stock markets using a novel dimensional valence-arousal approach. Soft Comput. 25(6): 4433-4450 (2021) - [c16]Ching-Wen Hsu, Chun-Lin Chou, Hsuan Liu, Jheng-Long Wu:
A Corpus for Dimensional Sentiment Classification on YouTube Streaming Service. ROCLING 2021: 286-293 - [c15]Hsuan-Tzu Shih, Yu-Cheng Chiu, Hsiao-Shih Chen, Jheng-Long Wu:
Confiscation Detection of Criminal Judgment Using Text Classification Approach. ROCLING 2021: 318-325 - [c14]Hsiao-Shih Chen, Pin-Chiung Chen, Shao-Cheng Huang, Yu-Cheng Chiu, Jheng-Long Wu:
SCUDS at ROCLING-2021 Shared Task: Using Pretrained Model for Dimensional Sentiment Analysis Based on Sample Expansion Method. ROCLING 2021: 346-353 - 2020
- [j15]Jheng-Long Wu, Yuanye He, Liang-Chih Yu, K. Robert Lai:
Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model. IEEE Access 8: 66638-66646 (2020) - [j14]Amy J. C. Trappey, Charles V. Trappey, Jheng-Long Wu, Jack W. C. Wang:
Intelligent compilation of patent summaries using machine learning and natural language processing techniques. Adv. Eng. Informatics 43: 101027 (2020) - [j13]Bingchun Liu, Mingzhao Lai, Jheng-Long Wu, Chuanchuan Fu, Arihant Binaykia:
Patent analysis and classification prediction of biomedicine industry: SOM-KPCA-SVM model. Multim. Tools Appl. 79(15-16): 10177-10197 (2020) - [c13]I-Ju Lin, Jheng-Long Wu:
Building A Multi-Label Detection Model for Question classification of Auction Website. ROCLING 2020: 372-386
2010 – 2019
- 2019
- [j12]Jheng-Long Wu, Xiang Xiao, Liang-Chih Yu, ShaoZhen Ye, K. Robert Lai:
Using an analogical reasoning framework to infer language patterns for negative life events. BMC Medical Informatics Decis. Mak. 19(1): 173:1-173:12 (2019) - [j11]Pei-Chann Chang, Jheng-Long Wu, Yahui Xu, Min Zhang, Xiao-Yong Lu:
Bike sharing demand prediction using artificial immune system and artificial neural network. Soft Comput. 23(2): 613-626 (2019) - [c12]Jheng-Long Wu:
Patent Quality Classification System Using the Feature Extractor of Deep Recurrent Neural Network. BigComp 2019: 1-8 - [c11]Mu-Hui Yu, Jheng-Long Wu:
CEAM: A Novel Approach Using Cycle Embeddings with Attention Mechanism for Stock Price Prediction. BigComp 2019: 1-4 - [c10]Jheng-Long Wu, Chi-Sheng Yang, Kai-Hsuan Liu, Min-Tzu Huang:
A Deep Learning Model for Dimensional ValenceArousal Intensity Prediction in Stock Market. iCAST 2019: 1-6 - [c9]Amy J. C. Trappey, Charles V. Trappey, Jheng-Long Wu, Kevin T.-C. Tsai:
Using Machine Learning Approach to Identify Synonyms for Document Mining. TE 2019: 509-518 - 2018
- [j10]Xiaosong Zhao, Rui Zhang, Jheng-Long Wu, Pei-Chann Chang:
A Deep Recurrent Neural Network for Air Quality Classification. J. Inf. Hiding Multim. Signal Process. 9(2): 346-354 (2018) - [j9]Xiao-Yong Lu, Mu-Sheng Chen, Jheng-Long Wu, Pei-Chann Chang, Meng-Hui Chen:
A novel ensemble decision tree based on under-sampling and clonal selection for web spam detection. Pattern Anal. Appl. 21(3): 741-754 (2018) - [c8]Amy J. C. Trappey, Charles V. Trappey, Jack W. C. Wang, Jheng-Long Wu:
An Intelligent Patent Summary System Deploying Natural Language Processing and Machining Learning. TE 2018: 1204-1213 - 2017
- [c7]Jheng-Long Wu, Wei-Yun Ma:
A Deep Learning Framework for Coreference Resolution Based on Convolutional Neural Network. ICSC 2017: 61-64 - 2016
- [j8]Pei-Chann Chang, Jheng-Long Wu, Jyun-Jie Lin:
A Takagi-Sugeno fuzzy model combined with a support vector regression for stock trading forecasting. Appl. Soft Comput. 38: 831-842 (2016) - [j7]Jheng-Long Wu, Pei-Chann Chang, Cheng-Chin Tsao, Chin-Yuan Fan:
A patent quality analysis and classification system using self-organizing maps with support vector machine. Appl. Soft Comput. 41: 305-316 (2016) - [j6]Meng-Hui Chen, Pei-Chann Chang, Jheng-Long Wu:
A population-based incremental learning approach with artificial immune system for network intrusion detection. Eng. Appl. Artif. Intell. 51: 171-181 (2016) - [c6]Pei-Chann Chang, Jheng-Long Wu, Cheng-Chin Tsao, Chin-Yuan Fan:
A Hybrid Model Combining SOMs with SVRs for Patent Quality Analysis and Classification. DMBD 2016: 262-269 - 2015
- [j5]Pei-Chann Chang, Jheng-Long Wu:
A critical feature extraction by kernel PCA in stock trading model. Soft Comput. 19(5): 1393-1408 (2015) - [c5]Jheng-Long Wu, Pei-Chann Chang:
A Prediction System for Bike Sharing Using Artificial Immune System with Regression Trees. IIAI-AAI 2015: 511-516 - 2014
- [j4]Jheng-Long Wu, Liang-Chih Yu, Pei-Chann Chang:
An intelligent stock trading system using comprehensive features. Appl. Soft Comput. 23: 39-50 (2014) - [c4]Pei-Chann Chang, Jheng-Long Wu:
The weighted Support Vector Machines for the stock turning point prediction. ISDA 2014: 205-210 - 2013
- [j3]Di-di Wang, Pei-Chann Chang, Li Zhang, Jheng-Long Wu, Changle Zhou:
The stability analysis for a novel feedback neural network with partial connection. Neurocomputing 116: 22-29 (2013) - [j2]Liang-Chih Yu, Jheng-Long Wu, Pei-Chann Chang, Hsuan-Shou Chu:
Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news. Knowl. Based Syst. 41: 89-97 (2013) - 2012
- [j1]Jheng-Long Wu, Liang-Chih Yu, Pei-Chann Chang:
Detecting causality from online psychiatric texts using inter-sentential language patterns. BMC Medical Informatics Decis. Mak. 12: 72 (2012) - 2011
- [c3]Di-di Wang, Pei-Chann Chang, Jheng-Long Wu, Changle Zhou:
A Partially Connected Neural Evolutionary Network for Stock Price Index Forecasting. ICIC (3) 2011: 14-19
2000 – 2009
- 2009
- [c2]Jheng-Long Wu, Chao-Fu Hong, Chien-Jen Huang:
Social Chance Discovery. SMC 2009: 1710-1713 - 2008
- [c1]Chao-Fu Hong, Leuo-hong Wang, Jheng-Long Wu:
The framework of competitive advantage based chance discovery. SMC 2008: 3680-3684
Coauthor Index
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last updated on 2024-09-21 23:42 CEST by the dblp team
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