Jinghua Tan

27 papers B 2Misc 2Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A comprehensive survey on automatic text summarization with exploration of LLM-based methods.
Neurocomputing
Yang Zhang, Hanlei Jin, Dan Meng, Jun Wang, Jinghua Tan
2026 J jnl
A direction-sensitive graph learning to explore supply chain network for financial risk detection.
Appl. Soft Comput.
Jinghua Tan, Junxiao Chen, Shanshan Feng, Huang Li, Jun Wang, Yang Zhang, Minghui Kang
2026 J jnl
A multi-graph learning framework to fuse heterogeneous market information for stock forecasting.
Expert Syst. Appl.
Zhixi Li, Jie Xiong, Jun Wang, Jinghua Tan, Philippe du Jardin, Muhammet Deveci, Kaiyang Zhong
2026 J jnl
Multi-view graph neural networks by augmented aggregation.
Appl. Soft Comput.
Long Shi, Junyu Chen, Lei Cao, Jun Wang, Jinghua Tan, Badong Chen
2025 J jnl
MRRFGNN: Multi-relation reconstruction and fusion graph neural network for stock crash prediction.
Inf. Sci.
Jun Wang, Lei Liao, Kaiyang Zhong, Muhammet Deveci, Philippe du Jardin, Jinghua Tan, Seifedine Nimer Kadry
2025 J jnl
Model-Guided Stock Movements Prediction with Homogeneous-Heterogeneous pattern learning.
Appl. Soft Comput.
Yi Zhou, Tai-Xiang Jiang, Jun Wang, Jinghua Tan
2024 J jnl
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods.
CoRR
Hanlei Jin, Yang Zhang, Dan Meng, Jun Wang, Jinghua Tan
2024 J jnl
Asset pricing via fused deep learning with visual clues.
Inf. Fusion
Jinghua Tan, Muhammet Deveci, Juan Li, Kaiyang Zhong
2023 J jnl
A study of crude oil futures price volatility based on multi-dimensional data from event-driven and deep learning perspectives.
Appl. Soft Comput.
Jun Wang, Wenjin Zhao, Fu-Sheng Tsai, Hanlei Jin, Jinghua Tan, Chao Su
2023 J jnl
Essential tensor learning for multimodal information-driven stock movement prediction.
Knowl. Based Syst.
Jun Wang, Yexun Hu, Tai-Xiang Jiang, Jinghua Tan, Qing Li
2023 J jnl
Robust kernel adaptive filtering for nonlinear time series prediction.
Signal Process.
Long Shi, Jinghua Tan, Jun Wang, Qing Li, Lu Lu, Badong Chen
2023 Misc conf
The Hysteresis Effect of Momentum Spillover in Asset Pricing via Spatial-Temporal Graph Learning.
ICNC
Chenhao He, Qing Li, Rui Cheng, Jun Wang, Jinghua Tan
2023 J jnl
The Impact of Dissonant Tie on Innovation Performance of Digital Transformation: Innovation From Difficult Working Individuals.
J. Glob. Inf. Manag.
Yao Xiao, Ye Chen, Jinghua Tan, Javier Cifuentes-Faura
2022 J jnl
A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion.
Multim. Tools Appl.
Xiaohan Li, Jun Wang, Jinghua Tan, Shiyu Ji, Huading Jia
2022 — conf
An Unsupervised Heterograph Model for Identifying Operational Risk Events in Financial Services.
CAIBDA
Jinghua Tan, Qinyu Gan, Guanyuan Yu, Junxiao Chen, Chuanhui Zhang
2022 J jnl
Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network.
Inf. Sci.
Jun Wang, Hanlei Jin, Junxiao Chen, Jinghua Tan, Kaiyang Zhong
2022 B conf
Enterprise Event Risk Detection Based on Supply Chain Contagion.
DSAA
Chuanhui Zhang, Junxiao Chen, Tao Shu, Jinghua Tan
2022 J jnl
FinHGNN: A conditional heterogeneous graph learning to address relational attributes for stock predictions.
Inf. Sci.
Jinghua Tan, Qing Li, Jun Wang, Junxiao Chen
2022 B conf
Incorporating News Summaries for Stock Predictions via Graphical Learning.
WISE
Hanlei Jin, Jun Wang, Jinghua Tan, Junxiao Chen, Tao Shu
2022 J jnl
Media Platforms and Stock Performance: Evidence From Internet News.
J. Glob. Inf. Manag.
Xiaoman Jin, Jun Wang, Jinghua Tan, Qing Li
2021 — conf
A Knowledge-aware and Time-sensitive Financial News Recommendation System Based on Firm Relation Derivation.
ICDM (Workshops)
Jun Wang, Jinghua Tan, Jiujiu Chen, Hanlei Jin
2021 J jnl
A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News.
IEEE Trans. Knowl. Data Eng.
Qing Li, Jinghua Tan, Jun Wang, Hsinchun Chen
2021 — conf
Unsupervised graph-clustering learning framework for financial news summarization.
ICDM (Workshops)
Jun Wang, Jinghua Tan, Hanlei Jin, Shuo Qi
2020 Misc conf
An Intelligent System for Rumor Recognition and Rumor Sentiment Judgment.
ICNC
Jun Wang, Xing Liu, Ali M. S. Alfosool, Junjie Su, Xirui Fu, Jinghua Tan
2019 — conf
A Tensor-based eLSTM Model to Predict Stock Price Using Financial News.
HICSS
Jinghua Tan, Jun Wang, Denisa Rinprasertmeechai, Rong Xing, Qing Li
2017 — conf
Research on Automatic Identification of Rumors in Stock Forum Based on Machine Learning.
PACIS
Hua Zhang, Jun Wang, Yan Chen, Jinghua Tan, Qing Li
2009 — conf
Machine Learning Methods for Medical Text Categorization.
PACCS
Qirui Zhang, Jinghua Tan, Huaying Zhou, Weiye Tao, Kejing He