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Jinghua Tan
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2020 – today
- 2026
[j15]Jinghua Tan, Junxiao Chen, Shanshan Feng
, Huang Li, Jun Wang
, Yang Zhang, Minghui Kang:
A direction-sensitive graph learning to explore supply chain network for financial risk detection. Appl. Soft Comput. 186: 114189 (2026)
[j14]Long Shi
, Junyu Chen, Lei Cao
, Jun Wang
, Jinghua Tan
, Badong Chen
:
Multi-view graph neural networks by augmented aggregation. Appl. Soft Comput. 191: 114621 (2026)
[j13]Yang Zhang
, Hanlei Jin, Dan Meng, Jun Wang
, Jinghua Tan:
A comprehensive survey on automatic text summarization with exploration of LLM-based methods. Neurocomputing 663: 131928 (2026)- 2025
[j12]Yi Zhou
, Tai-Xiang Jiang
, Jun Wang
, Jinghua Tan
:
Model-Guided Stock Movements Prediction with Homogeneous-Heterogeneous pattern learning. Appl. Soft Comput. 182: 113519 (2025)
[j11]Jun Wang, Lei Liao, Kaiyang Zhong
, Muhammet Deveci, Philippe du Jardin, Jinghua Tan
, Seifedine Nimer Kadry:
MRRFGNN: Multi-relation reconstruction and fusion graph neural network for stock crash prediction. Inf. Sci. 689: 121507 (2025)- 2024
[j10]Jinghua Tan
, Muhammet Deveci, Juan Li, Kaiyang Zhong
:
Asset pricing via fused deep learning with visual clues. Inf. Fusion 102: 102049 (2024)
[i1]Hanlei Jin, Yang Zhang, Dan Meng, Jun Wang, Jinghua Tan:
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods. CoRR abs/2403.02901 (2024)- 2023
[j9]Jun Wang, Wenjin Zhao, Fu-Sheng Tsai
, Hanlei Jin, Jinghua Tan
, Chao Su:
A study of crude oil futures price volatility based on multi-dimensional data from event-driven and deep learning perspectives. Appl. Soft Comput. 146: 110548 (2023)
[j8]Yao Xiao, Ye Chen, Jinghua Tan
, Javier Cifuentes-Faura:
The Impact of Dissonant Tie on Innovation Performance of Digital Transformation: Innovation From Difficult Working Individuals. J. Glob. Inf. Manag. 31(1): 1-21 (2023)
[j7]Jun Wang, Yexun Hu
, Tai-Xiang Jiang
, Jinghua Tan
, Qing Li:
Essential tensor learning for multimodal information-driven stock movement prediction. Knowl. Based Syst. 262: 110262 (2023)
[j6]Long Shi
, Jinghua Tan
, Jun Wang
, Qing Li, Lu Lu
, Badong Chen
:
Robust kernel adaptive filtering for nonlinear time series prediction. Signal Process. 210: 109090 (2023)
[c10]Chenhao He, Qing Li, Rui Cheng, Jun Wang, Jinghua Tan
:
The Hysteresis Effect of Momentum Spillover in Asset Pricing via Spatial-Temporal Graph Learning. ICNC 2023: 153-158- 2022
[j5]Jun Wang, Hanlei Jin, Junxiao Chen, Jinghua Tan
, Kaiyang Zhong
:
Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network. Inf. Sci. 617: 133-149 (2022)
[j4]Jinghua Tan
, Qing Li, Jun Wang, Junxiao Chen:
FinHGNN: A conditional heterogeneous graph learning to address relational attributes for stock predictions. Inf. Sci. 618: 317-335 (2022)
[j3]Xiaoman Jin, Jun Wang, Jinghua Tan
, Qing Li:
Media Platforms and Stock Performance: Evidence From Internet News. J. Glob. Inf. Manag. 30(1): 1-25 (2022)
[j2]Xiaohan Li, Jun Wang, Jinghua Tan
, Shiyu Ji, Huading Jia:
A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion. Multim. Tools Appl. 81(30): 43753-43775 (2022)
[c9]Jinghua Tan, Qinyu Gan, Guanyuan Yu, Junxiao Chen, Chuanhui Zhang:
An Unsupervised Heterograph Model for Identifying Operational Risk Events in Financial Services. CAIBDA 2022: 1-7
[c8]Chuanhui Zhang, Junxiao Chen, Tao Shu
, Jinghua Tan
:
Enterprise Event Risk Detection Based on Supply Chain Contagion. DSAA 2022: 1-10
[c7]Hanlei Jin, Jun Wang, Jinghua Tan
, Junxiao Chen, Tao Shu
:
Incorporating News Summaries for Stock Predictions via Graphical Learning. WISE 2022: 409-417- 2021
[j1]Qing Li
, Jinghua Tan
, Jun Wang
, Hsinchun Chen:
A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News. IEEE Trans. Knowl. Data Eng. 33(10): 3323-3337 (2021)
[c6]Jun Wang, Jinghua Tan
, Hanlei Jin, Shuo Qi:
Unsupervised graph-clustering learning framework for financial news summarization. ICDM (Workshops) 2021: 719-726
[c5]Jun Wang, Jinghua Tan
, Jiujiu Chen, Hanlei Jin:
A Knowledge-aware and Time-sensitive Financial News Recommendation System Based on Firm Relation Derivation. ICDM (Workshops) 2021: 1104-1111- 2020
[c4]Jun Wang, Xing Liu, Ali M. S. Alfosool, Junjie Su, Xirui Fu, Jinghua Tan:
An Intelligent System for Rumor Recognition and Rumor Sentiment Judgment. ICNC 2020: 309-313
2010 – 2019
- 2019
[c3]Jinghua Tan, Jun Wang, Denisa Rinprasertmeechai, Rong Xing, Qing Li:
A Tensor-based eLSTM Model to Predict Stock Price Using Financial News. HICSS 2019: 1-10- 2017
[c2]Hua Zhang, Jun Wang, Yan Chen, Jinghua Tan, Qing Li:
Research on Automatic Identification of Rumors in Stock Forum Based on Machine Learning. PACIS 2017: 46
2000 – 2009
- 2009
[c1]Qirui Zhang, Jinghua Tan, Huaying Zhou, Weiye Tao, Kejing He
:
Machine Learning Methods for Medical Text Categorization. PACCS 2009: 494-497
Coauthor Index

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