Zhensong Chen

According to our database, Zhensong Chen authored at least 29 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Yong Shi, Yunong Wang, Yi Qu, Zhensong Chen

Int. J. Mach. Learn. Cybern., January, 2024

2022

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

Yue Qiu, Zhewei Song, Zhensong Chen

Soft Comput., 2022

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

Jianyu Miao, Tiejun Yang, Chao Fan, Zhensong Chen, Xuan Fei, Xuchan Ju, Ke Wang, Mingliang Xu

Knowl. Based Syst., 2022

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

Manrui Jiang, Lifen Jia, Zhensong Chen, Wei Chen

Ann. Oper. Res., 2022

Research on Graph Neural Network in Stock Market.

Wenjun Zhang, Zhensong Chen, Jianyu Miao, Xueyong Liu

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

Review of graph construction and graph learning in stock price prediction.

Yunong Wang, Yi Qu, Zhensong Chen

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

Research on group profile of social platform based on user value.

Qingyan Tong, Jiayi Sun, Yanxin Liu, Zhensong Chen

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

2021

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

Wei Chen, Manrui Jiang, Wei-Guo Zhang, Zhensong Chen

Inf. Sci., 2021

Active learning from label proportions via pSVM.

Yue Qiu, Mingjie Yan, Zhensong Chen

Neurocomputing, 2021

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

Wei Chen, Huilin Xu, Zhensong Chen, Manrui Jiang

Neurocomputing, 2021

Unsupervised feature selection by non-convex regularized self-representation.

Jianyu Miao, Yuan Ping, Zhensong Chen, Xiao-Bo Jin, Peijia Li, Lingfeng Niu

Expert Syst. Appl., 2021

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

Shan Lu, Chenhui Liu, Zhensong Chen

Expert Syst. Appl., 2021

2020

Token based crack detection.

Fan Meng, Zhiquan Qi, Zhensong Chen, Bo Wang, Yong Shi

J. Intell. Fuzzy Syst., 2020

Ensemble learning with label proportions for bankruptcy prediction.

Zhensong Chen, Wei Chen, Yong Shi

Expert Syst. Appl., 2020

2019

Constrained matrix factorization for semi-weakly learning with label proportions.

Zhensong Chen, Yong Shi, Zhiquan Qi

Pattern Recognit., 2019

Learning from label proportions with pinball loss.

Yong Shi, Limeng Cui, Zhensong Chen, Zhiquan Qi

Int. J. Mach. Learn. Cybern., 2019

2018

Multi-view Collective Tensor Decomposition for Cross-modal Hashing.

Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Multi-View Fusion Through Cross-Modal Retrieval.

Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Survey on Semantic Segmentation.

Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

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

Yong Shi, Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui

Neural Comput. Appl., 2017

Learning with label proportions based on nonparallel support vector machines.

Zhensong Chen, Zhiquan Qi, Bo Wang, Limeng Cui, Fan Meng, Yong Shi

Knowl. Based Syst., 2017

Inverse extreme learning machine for learning with label proportions.

Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, Philip S. Yu

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Automatic Road Crack Detection Using Random Structured Forests.

Yong Shi, Limeng Cui, Zhiquan Qi, Fan Meng, Zhensong Chen

IEEE Trans. Intell. Transp. Syst., 2016

Laplacian SVM for Learning from Label Proportions.

Limeng Cui, Zhensong Chen, Fan Meng, Yong Shi

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Linear Twin SVM for Learning from Label Proportions.

Bo Wang, Zhensong Chen, Zhiquan Qi

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Image Segmentation via Improving Clustering Algorithms with Density and Distance.

Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui, Yong Shi

Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

Supervised Object Boundary Detection Based on Structured Forests.

Fan Meng, Zhiquan Qi, Limeng Cui, Zhensong Chen, Yong Shi

Proceedings of the Data Science - Second International Conference, 2015

Pavement Distress Detection Using Random Decision Forests.

Limeng Cui, Zhiquan Qi, Zhensong Chen, Fan Meng, Yong Shi

Proceedings of the Data Science - Second International Conference, 2015

2014

Active Learning with Nonparallel Support Vector Machine for Binary Classification.

Xi Zhao, Zhensong Chen, Yong Shi

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014