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Rongbo Chen
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2020 – today
- 2023
- [c6]Mingxuan Sun, Rongbo Chen, Jianfei Zhang, Shengrui Wang:
Unsupervised Learning via Graph Convolutional Network for Stock Trend Prediction. AINA (1) 2023: 358-369 - 2022
- [c5]Rongbo Chen, Kunpeng Xu
, Jean-Marc Patenaude, Shengrui Wang:
Dynamic Cross-sectional Regime Identification for Financial Market Prediction. COMPSAC 2022: 295-300 - [c4]Rongbo Chen, Mingxuan Sun, Kunpeng Xu
, Jean-Marc Patenaude, Shengrui Wang:
Clustering-Based Cross-Sectional Regime Identification for Financial Market Forecasting. DEXA (2) 2022: 3-16 - 2021
- [j3]Rongbo Chen
, Haojun Sun, Lifei Chen, Jianfei Zhang, Shengrui Wang:
Dynamic order Markov model for categorical sequence clustering. J. Big Data 8(1): 154 (2021) - 2020
- [j2]Jianfei Zhang, Lifei Chen
, Yanfang Ye, Gongde Guo, Rongbo Chen, Alain Vanasse, Shengrui Wang:
Survival neural networks for time-to-event prediction in longitudinal study. Knowl. Inf. Syst. 62(9): 3727-3751 (2020)
2010 – 2019
- 2019
- [c3]Jianfei Zhang, Shengrui Wang, Lifei Chen
, Gongde Guo, Rongbo Chen, Alain Vanasse:
Time-Dependent Survival Neural Network for Remaining Useful Life Prediction. PAKDD (1) 2019: 441-452 - 2018
- [c2]Philippe Chatigny, Rongbo Chen, Jean-Marc Patenaude, Shengrui Wang:
A Variable-Order Regime Switching Model to Identify Significant Patterns in Financial Markets. ICDM 2018: 887-892 - 2017
- [j1]Haojun Sun, Rongbo Chen, Yong Qin, Shengrui Wang:
Holo-Entropy Based Categorical Data Hierarchical Clustering. Informatica 28(2): 303-328 (2017) - 2015
- [c1]Haojun Sun, Rongbo Chen, Shulin Jin, Yong Qin:
A Hierarchical Clustering for Categorical Data Based on Holo-Entropy. IEEE WISA 2015: 269-274
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