Jinghua Tan

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 20

Top Topics

Adaptive Filtering

Top Venues

J. Glob. Inf. Manag.

ICDM (Workshops)

Publications

Jinghua Tan, Muhammet Deveci, Juan Li, Kaiyang Zhong
Asset pricing via fused deep learning with visual clues. Inf. Fusion 102 (2024)
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 (2024)
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 (2023)
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)
Long Shi, Jinghua Tan, Jun Wang, Qing Li, Lu Lu, Badong Chen
Robust kernel adaptive filtering for nonlinear time series prediction. Signal Process. 210 (2023)
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 (2023)
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) (2023)
Chuanhui Zhang, Junxiao Chen, Tao Shu, Jinghua Tan
Enterprise Event Risk Detection Based on Supply Chain Contagion. DSAA (2022)
Xiaoman Jin, Jun Wang, Jinghua Tan, Qing Li
Media Platforms and Stock Performance: Evidence From Internet News. J. Glob. Inf. Manag. 30 (1) (2022)
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 (2022)
Jinghua Tan, Qinyu Gan, Guanyuan Yu, Junxiao Chen, Chuanhui Zhang
An Unsupervised Heterograph Model for Identifying Operational Risk Events in Financial Services. CAIBDA (2022)
Jinghua Tan, Qing Li, Jun Wang, Junxiao Chen
FinHGNN: A conditional heterogeneous graph learning to address relational attributes for stock predictions. Inf. Sci. 618 (2022)
Hanlei Jin, Jun Wang, Jinghua Tan, Junxiao Chen, Tao Shu
Incorporating News Summaries for Stock Predictions via Graphical Learning. WISE (2022)
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) (2022)
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) (2021)
Jun Wang, Jinghua Tan, Hanlei Jin, Shuo Qi
Unsupervised graph-clustering learning framework for financial news summarization. ICDM (Workshops) (2021)
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)
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)
Jinghua Tan, Jun Wang, Denisa Rinprasertmeechai, Rong Xing, Qing Li
A Tensor-based eLSTM Model to Predict Stock Price Using Financial News. HICSS (2019)
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)
Qirui Zhang, Jinghua Tan, Huaying Zhou, Weiye Tao, Kejing He
Machine Learning Methods for Medical Text Categorization. PACCS (2009)