Zhensong Chen

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Topics

Support Vector Machine

Unsupervised Feature Selection

Image Segmentation

Active Learning

Top Venues

Expert Syst. Appl.

Int. J. Mach. Learn. Cybern.

Publications

Yong Shi, Yi Qu, Zhensong Chen, Yunlong Mi, Yunong Wang
Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation. Eur. J. Oper. Res. 315 (2) (2024)
Yong Shi, Yunong Wang, Yi Qu, Zhensong Chen
Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction. Int. J. Mach. Learn. Cybern. 15 (1) (2024)
Xueyong Liu, Yanhui Wu, Min Luo, Zhensong Chen
Stock price prediction for new energy vehicle companies based on multi-source data and hybrid attention structure. Expert Syst. Appl. 255 (2024)
Wenjun Zhang, Zhensong Chen, Jianyu Miao, Xueyong Liu
Research on Graph Neural Network in Stock Market. ITQM (2022)
Yue Qiu, Zhewei Song, Zhensong Chen
Short-term stock trends prediction based on sentiment analysis and machine learning. Soft Comput. 26 (5) (2022)
Jianyu Miao, Tiejun Yang, Chao Fan, Zhensong Chen, Xuan Fei, Xuchan Ju, Ke Wang, Mingliang Xu
Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection. Knowl. Based Syst. 241 (2022)
Manrui Jiang, Lifen Jia, Zhensong Chen, Wei Chen
The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm. Ann. Oper. Res. 309 (2) (2022)
Shan Lu, Chenhui Liu, Zhensong Chen
Predicting stock market crisis via market indicators and mixed frequency investor sentiments. Expert Syst. Appl. 186 (2021)
Jianyu Miao, Yuan Ping, Zhensong Chen, Xiao-Bo Jin, Peijia Li, Lingfeng Niu
Unsupervised feature selection by non-convex regularized self-representation. Expert Syst. Appl. 173 (2021)
Wei Chen, Huilin Xu, Zhensong Chen, Manrui Jiang
A novel method for time series prediction based on error decomposition and nonlinear combination of forecasters. Neurocomputing 426 (2021)
Yue Qiu, Mingjie Yan, Zhensong Chen
Active learning from label proportions via pSVM. Neurocomputing 464 (2021)
Wei Chen, Manrui Jiang, Wei-Guo Zhang, Zhensong Chen
A novel graph convolutional feature based convolutional neural network for stock trend prediction. Inf. Sci. 556 (2021)
Zhensong Chen, Wei Chen, Yong Shi
Ensemble learning with label proportions for bankruptcy prediction. Expert Syst. Appl. 146 (2020)
Fan Meng, Zhiquan Qi, Zhensong Chen, Bo Wang, Yong Shi
Token based crack detection. J. Intell. Fuzzy Syst. 38 (3) (2020)
Yong Shi, Limeng Cui, Zhensong Chen, Zhiquan Qi
Learning from label proportions with pinball loss. Int. J. Mach. Learn. Cybern. 10 (1) (2019)
Zhensong Chen, Yong Shi, Zhiquan Qi
Constrained matrix factorization for semi-weakly learning with label proportions. Pattern Recognit. 91 (2019)
Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu
Multi-view Collective Tensor Decomposition for Cross-modal Hashing. ICMR (2018)
Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen
A Survey on Semantic Segmentation. ICDM Workshops (2018)
Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu
Multi-View Fusion Through Cross-Modal Retrieval. ICIP (2018)
Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, Philip S. Yu
Inverse extreme learning machine for learning with label proportions. IEEE BigData (2017)
Zhensong Chen, Zhiquan Qi, Bo Wang, Limeng Cui, Fan Meng, Yong Shi
Learning with label proportions based on nonparallel support vector machines. Knowl. Based Syst. 119 (2017)
Yong Shi, Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui
A novel clustering-based image segmentation via density peaks algorithm with mid-level feature. Neural Comput. Appl. 28 (S-1) (2017)
Limeng Cui, Zhensong Chen, Fan Meng, Yong Shi
Laplacian SVM for Learning from Label Proportions. ICDM Workshops (2016)
Yong Shi, Limeng Cui, Zhiquan Qi, Fan Meng, Zhensong Chen
Automatic Road Crack Detection Using Random Structured Forests. IEEE Trans. Intell. Transp. Syst. 17 (12) (2016)
Bo Wang, Zhensong Chen, Zhiquan Qi
Linear Twin SVM for Learning from Label Proportions. WI-IAT (3) (2015)
Limeng Cui, Zhiquan Qi, Zhensong Chen, Fan Meng, Yong Shi
Pavement Distress Detection Using Random Decision Forests. ICDS (2015)
Fan Meng, Zhiquan Qi, Limeng Cui, Zhensong Chen, Yong Shi
Supervised Object Boundary Detection Based on Structured Forests. ICDS (2015)
Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui, Yong Shi
Image Segmentation via Improving Clustering Algorithms with Density and Distance. ITQM (2015)
Xi Zhao, Zhensong Chen, Yong Shi
Active Learning with Nonparallel Support Vector Machine for Binary Classification. ICDM Workshops (2014)