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ORCIDZhensong Chen 0001
Person information
- affiliation: Capital University of Economics and Business, School of Management and Engineering, Beijing, China
- affiliation (former): University of Chinese Academy of Sciences, School of Economics and Management, Beijing, China
Other persons with the same name
- Zhen-Song Chen 0002
![[0000-0003-4360-5459]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4360-5459")
(aka: Zhensong Chen 0002) — Wuhan University, School of Civil Engineering, China (and 1 more)
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Journal Articles
- 2024
[j16]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): 161-176 (2024)- 2022
- [j15]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): 553-585 (2022) - [j14]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: 108279 (2022) - [j13]Yue Qiu, Zhewei Song, Zhensong Chen:
Short-term stock trends prediction based on sentiment analysis and machine learning. Soft Comput. 26(5): 2209-2224 (2022) - 2021
- [j12]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: 114643 (2021) - [j11]Shan Lu, Chenhui Liu, Zhensong Chen:
Predicting stock market crisis via market indicators and mixed frequency investor sentiments. Expert Syst. Appl. 186: 115844 (2021) - [j10]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: 85-103 (2021) - [j9]Yue Qiu, Mingjie Yan, Zhensong Chen:
Active learning from label proportions via pSVM. Neurocomputing 464: 227-241 (2021) - [j8]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: 67-94 (2021) - 2020
- [j7]Zhensong Chen, Wei Chen, Yong Shi:
Ensemble learning with label proportions for bankruptcy prediction. Expert Syst. Appl. 146: 113155 (2020) - [j6]Fan Meng, Zhiquan Qi, Zhensong Chen, Bo Wang, Yong Shi:
Token based crack detection. J. Intell. Fuzzy Syst. 38(3): 3501-3513 (2020) - 2019
- [j5]Yong Shi, Limeng Cui, Zhensong Chen, Zhiquan Qi:
Learning from label proportions with pinball loss. Int. J. Mach. Learn. Cybern. 10(1): 187-205 (2019) - [j4]Zhensong Chen, Yong Shi, Zhiquan Qi:
Constrained matrix factorization for semi-weakly learning with label proportions. Pattern Recognit. 91: 13-24 (2019) - 2017
- [j3]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: 126-141 (2017) - [j2]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): 29-39 (2017) - 2016
- [j1]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): 3434-3445 (2016)
Conference and Workshop Papers
- 2022
- [c13]Qingyan Tong, Jiayi Sun, Yanxin Liu, Zhensong Chen:
Research on group profile of social platform based on user value. ITQM 2022: 367-375 - [c12]Yunong Wang, Yi Qu, Zhensong Chen:
Review of graph construction and graph learning in stock price prediction. ITQM 2022: 771-778 - [c11]Wenjun Zhang, Zhensong Chen, Jianyu Miao, Xueyong Liu:
Research on Graph Neural Network in Stock Market. ITQM 2022: 786-792 - 2018
- [c10]Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen:
A Survey on Semantic Segmentation. ICDM Workshops 2018: 1233-1240 - [c9]Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu:
Multi-View Fusion Through Cross-Modal Retrieval. ICIP 2018: 1977-1981 - [c8]Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu:
Multi-view Collective Tensor Decomposition for Cross-modal Hashing. ICMR 2018: 73-81 - 2017
- [c7]Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, Philip S. Yu:
Inverse extreme learning machine for learning with label proportions. IEEE BigData 2017: 576-585 - 2016
- [c6]Limeng Cui, Zhensong Chen, Fan Meng, Yong Shi:
Laplacian SVM for Learning from Label Proportions. ICDM Workshops 2016: 847-852 - 2015
- [c5]Fan Meng, Zhiquan Qi, Limeng Cui, Zhensong Chen, Yong Shi:
Supervised Object Boundary Detection Based on Structured Forests. ICDS 2015: 87-94 - [c4]Limeng Cui, Zhiquan Qi, Zhensong Chen, Fan Meng, Yong Shi:
Pavement Distress Detection Using Random Decision Forests. ICDS 2015: 95-102 - [c3]Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui, Yong Shi:
Image Segmentation via Improving Clustering Algorithms with Density and Distance. ITQM 2015: 1015-1022 - [c2]Bo Wang, Zhensong Chen, Zhiquan Qi:
Linear Twin SVM for Learning from Label Proportions. WI-IAT (3) 2015: 56-59 - 2014
- [c1]Xi Zhao, Zhensong Chen, Yong Shi:
Active Learning with Nonparallel Support Vector Machine for Binary Classification. ICDM Workshops 2014: 101-104
Coauthor Index
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