Zhensong Chen

发表

Research on Graph Neural Network in Stock Market

Xueyong Liu, Wenjun Zhang, Jianyu Miao, 2022, ITQM.

Review of graph construction and graph learning in stock price prediction

Yunong Wang, Yi Qu, Zhensong Chen, 2022, ITQM.

Image Segmentation via Improving Clustering Algorithms with Density and Distance

Fan Meng, Yong Shi, Limeng Cui, 2015, ITQM.

Supervised Object Boundary Detection Based on Structured Forests

Fan Meng, Yong Shi, Limeng Cui, 2015, ICDS.

Automatic Road Crack Detection Using Random Structured Forests

Fan Meng, Yong Shi, Limeng Cui, 2016, IEEE Transactions on Intelligent Transportation Systems.

A novel clustering-based image segmentation via density peaks algorithm with mid-level feature

Fan Meng, Yong Shi, Limeng Cui, 2017, Neural Computing and Applications.

A novel graph convolutional feature based convolutional neural network for stock trend prediction

Zhensong Chen, Manrui Jiang, Wei-Guo Zhang, 2021, Inf. Sci..

A novel method for time series prediction based on error decomposition and nonlinear combination of forecasters

Wei Chen, Manrui Jiang, Huilin Xu, 2020, Neurocomputing.

Pavement Distress Detection Using Random Decision Forests

Fan Meng, Yong Shi, Limeng Cui, 2015, ICDS.

Ensemble learning with label proportions for bankruptcy prediction

Wei Chen, Yong Shi, Zhensong Chen, 2020, Expert Syst. Appl..

Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction

Yunong Wang, Yong Shi, Zhensong Chen, 2023, International Journal of Machine Learning and Cybernetics.

Short-term stock trends prediction based on sentiment analysis and machine learning

Yue Qiu, Zhewei Song, Zhensong Chen, 2022, Soft Computing.

Predicting stock market crisis via market indicators and mixed frequency investor sentiments

Zhensong Chen, Shan Lu, Chenhui Liu, 2021, Expert Syst. Appl..

The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm

Wei Chen, Manrui Jiang, Lifen Jia, 2020, Annals of Operations Research.

Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection

Xuan Fei, Xuchan Ju, Tiejun Yang, 2022, Knowl. Based Syst..

Inverse extreme learning machine for learning with label proportions

Philip S. Yu, Yong Shi, Limeng Cui, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Learning from label proportions with pinball loss

Yong Shi, Limeng Cui, Zhensong Chen, 2019, Int. J. Mach. Learn. Cybern..

Token based crack detection

Yong Shi, Zhensong Chen, Zhiquan Qi, 2020, J. Intell. Fuzzy Syst..

Unsupervised feature selection by non-convex regularized self-representation

Zhensong Chen, Jianyu Miao, Lingfeng Niu, 2021, Expert Syst. Appl..

Constrained matrix factorization for semi-weakly learning with label proportions

Yong Shi, Zhensong Chen, Zhiquan Qi, 2019, Pattern Recognit..