Jheng-Long Wu

Orcid: 0000-0003-3494-5507

According to our database1, Jheng-Long Wu authored at least 44 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Dynamic traffic network representation model for improving the prediction performance of passenger flow for mass rapid transit.
Knowl. Based Syst., 2024

An Hybrid Clustering and BERT Model for Chinese Threads in Social Media.
Proceedings of the International Joint Conference on Neural Networks, 2024

Valence and Arousal Analysis Base on Multimodal Feature Extraction in Video of Streaming Platform.
Proceedings of the International Joint Conference on Neural Networks, 2024

The Social Stage of Responses: Social Intent Detection in Discussion Threads Using Deep Learning Model.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices.
Appl. Intell., August, 2023

A prediction model of stock market trading actions using generative adversarial network and piecewise linear representation approaches.
Soft Comput., June, 2023

Object Detection-driven System for Healthy Eating Recommendations.
Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

2022
Sentiment-based masked language modeling for improving sentence-level valence-arousal prediction.
Appl. Intell., 2022

Combining Word Vector Technique and Clustering Algorithm for Credit Card Merchant Detection.
Proceedings of the 34th Conference on Computational Linguistics and Speech Processing, 2022

A Dimensional Valence-Arousal-Irony Dataset for Chinese Sentence and Context.
Proceedings of the 34th Conference on Computational Linguistics and Speech Processing, 2022

SCU-NLP at ROCLING 2022 Shared Task: Experiment and Error Analysis of Biomedical Entity Detection Model.
Proceedings of the 34th Conference on Computational Linguistics and Speech Processing, 2022

Factor Detection Task of Cyberbullying Using the Deep Learning Model.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Sentiment analysis of stock markets using a novel dimensional valence-arousal approach.
Soft Comput., 2021

Confiscation Detection of Criminal Judgment Using Text Classification Approach.
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing, 2021

A Corpus for Dimensional Sentiment Classification on YouTube Streaming Service.
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing, 2021

SCUDS at ROCLING-2021 Shared Task: Using Pretrained Model for Dimensional Sentiment Analysis Based on Sample Expansion Method.
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing, 2021

2020
Patent analysis and classification prediction of biomedicine industry: SOM-KPCA-SVM model.
Multim. Tools Appl., 2020

Intelligent compilation of patent summaries using machine learning and natural language processing techniques.
Adv. Eng. Informatics, 2020

Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model.
IEEE Access, 2020

Building A Multi-Label Detection Model for Question classification of Auction Website.
Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing, 2020

2019
Bike sharing demand prediction using artificial immune system and artificial neural network.
Soft Comput., 2019

Using an analogical reasoning framework to infer language patterns for negative life events.
BMC Medical Informatics Decis. Mak., 2019

Using Machine Learning Approach to Identify Synonyms for Document Mining.
Proceedings of the Transdisciplinary Engineering for Complex Socio-technical Systems, 2019

A Deep Learning Model for Dimensional ValenceArousal Intensity Prediction in Stock Market.
Proceedings of the IEEE 10th International Conference on Awareness Science and Technology, 2019

CEAM: A Novel Approach Using Cycle Embeddings with Attention Mechanism for Stock Price Prediction.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

Patent Quality Classification System Using the Feature Extractor of Deep Recurrent Neural Network.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

2018
A novel ensemble decision tree based on under-sampling and clonal selection for web spam detection.
Pattern Anal. Appl., 2018

A Deep Recurrent Neural Network for Air Quality Classification.
J. Inf. Hiding Multim. Signal Process., 2018

An Intelligent Patent Summary System Deploying Natural Language Processing and Machining Learning.
Proceedings of the Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0, 2018

2017
A Deep Learning Framework for Coreference Resolution Based on Convolutional Neural Network.
Proceedings of the 11th IEEE International Conference on Semantic Computing, 2017

2016
A population-based incremental learning approach with artificial immune system for network intrusion detection.
Eng. Appl. Artif. Intell., 2016

A patent quality analysis and classification system using self-organizing maps with support vector machine.
Appl. Soft Comput., 2016

A Takagi-Sugeno fuzzy model combined with a support vector regression for stock trading forecasting.
Appl. Soft Comput., 2016

A Hybrid Model Combining SOMs with SVRs for Patent Quality Analysis and Classification.
Proceedings of the Data Mining and Big Data, First International Conference, 2016

2015
A critical feature extraction by kernel PCA in stock trading model.
Soft Comput., 2015

A Prediction System for Bike Sharing Using Artificial Immune System with Regression Trees.
Proceedings of the IIAI 4th International Congress on Advanced Applied Informatics, 2015

2014
An intelligent stock trading system using comprehensive features.
Appl. Soft Comput., 2014

The weighted Support Vector Machines for the stock turning point prediction.
Proceedings of the 14th International Conference on Intelligent Systems Design and Applications, 2014

2013
Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news.
Knowl. Based Syst., 2013

The stability analysis for a novel feedback neural network with partial connection.
Neurocomputing, 2013

2012
Detecting causality from online psychiatric texts using inter-sentential language patterns.
BMC Medical Informatics Decis. Mak., 2012

2011
A Partially Connected Neural Evolutionary Network for Stock Price Index Forecasting.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2009
Social Chance Discovery.
Proceedings of the IEEE International Conference on Systems, 2009

2008
The framework of competitive advantage based chance discovery.
Proceedings of the IEEE International Conference on Systems, 2008


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