Jinghua Tan

According to our database, Jinghua Tan authored at least 21 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Asset pricing via fused deep learning with visual clues.

Jinghua Tan, Muhammet Deveci, Juan Li, Kaiyang Zhong

Inf. Fusion, February, 2024

A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods.

Hanlei Jin, Yang Zhang, Dan Meng, Jun Wang, Jinghua Tan

CoRR, 2024

2023

A study of crude oil futures price volatility based on multi-dimensional data from event-driven and deep learning perspectives.

Jun Wang, Wenjin Zhao, Fu-Sheng Tsai, Hanlei Jin, Jinghua Tan, Chao Su

Appl. Soft Comput., October, 2023

Essential tensor learning for multimodal information-driven stock movement prediction.

Jun Wang, Yexun Hu, Tai-Xiang Jiang, Jinghua Tan, Qing Li

Knowl. Based Syst., February, 2023

Robust kernel adaptive filtering for nonlinear time series prediction.

Long Shi, Jinghua Tan, Jun Wang, Qing Li, Lu Lu, Badong Chen

Signal Process., 2023

The Impact of Dissonant Tie on Innovation Performance of Digital Transformation: Innovation From Difficult Working Individuals.

Yao Xiao, Ye Chen, Jinghua Tan, Javier Cifuentes-Faura

J. Glob. Inf. Manag., 2023

The Hysteresis Effect of Momentum Spillover in Asset Pricing via Spatial-Temporal Graph Learning.

Chenhao He, Qing Li, Rui Cheng, Jun Wang, Jinghua Tan

Proceedings of the International Conference on Computing, Networking and Communications, 2023

2022

A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion.

Xiaohan Li, Jun Wang, Jinghua Tan, Shiyu Ji, Huading Jia

Multim. Tools Appl., 2022

Media Platforms and Stock Performance: Evidence From Internet News.

Xiaoman Jin, Jun Wang, Jinghua Tan, Qing Li

J. Glob. Inf. Manag., 2022

Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network.

Jun Wang, Hanlei Jin, Junxiao Chen, Jinghua Tan, Kaiyang Zhong

Inf. Sci., 2022

FinHGNN: A conditional heterogeneous graph learning to address relational attributes for stock predictions.

Jinghua Tan, Qing Li, Jun Wang, Junxiao Chen

Inf. Sci., 2022

Incorporating News Summaries for Stock Predictions via Graphical Learning.

Hanlei Jin, Jun Wang, Jinghua Tan, Junxiao Chen, Tao Shu

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Enterprise Event Risk Detection Based on Supply Chain Contagion.

Chuanhui Zhang, Junxiao Chen, Tao Shu, Jinghua Tan

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

An Unsupervised Heterograph Model for Identifying Operational Risk Events in Financial Services.

Jinghua Tan, Qinyu Gan, Guanyuan Yu, Junxiao Chen, Chuanhui Zhang

Proceedings of the CAIBDA 2022, 2022

2021

A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News.

Qing Li, Jinghua Tan, Jun Wang, Hsinchun Chen

IEEE Trans. Knowl. Data Eng., 2021

Unsupervised graph-clustering learning framework for financial news summarization.

Jun Wang, Jinghua Tan, Hanlei Jin, Shuo Qi

Proceedings of the 2021 International Conference on Data Mining, 2021

A Knowledge-aware and Time-sensitive Financial News Recommendation System Based on Firm Relation Derivation.

Jun Wang, Jinghua Tan, Jiujiu Chen, Hanlei Jin

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

An Intelligent System for Rumor Recognition and Rumor Sentiment Judgment.

Jun Wang, Xing Liu, Ali M. S. Alfosool, Junjie Su, Xirui Fu, Jinghua Tan

Proceedings of the International Conference on Computing, Networking and Communications, 2020

2019

A Tensor-based eLSTM Model to Predict Stock Price Using Financial News.

Jinghua Tan, Jun Wang, Denisa Rinprasertmeechai, Rong Xing, Qing Li

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2017

Research on Automatic Identification of Rumors in Stock Forum Based on Machine Learning.

Hua Zhang, Jun Wang, Yan Chen, Jinghua Tan, Qing Li

Proceedings of the 21st Pacific Asia Conference on Information Systems, 2017

2009

Machine Learning Methods for Medical Text Categorization.

Qirui Zhang, Jinghua Tan, Huaying Zhou, Weiye Tao, Kejing He

Proceedings of the 2009 Pacific-Asia Conference on Circuits, Communications and Systems, 2009