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2020 – today
- 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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