Zhensong Chen - RankMe

34 papers B 2C 2Journal 21Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial fraud sample generation with reinforcement learning: A joint optimization framework for financial statement fraud detection. Appl. Soft Comput. Zhensong Chen, Hao Chen, Aihua Li, Yinhong Yao, Yong Shi
2026	J	`jnl`	Multi-label financial statement fraud detection based on long short-term memory and multilayer perceptron hybrid model. Eng. Appl. Artif. Intell. Zhensong Chen, Hao Chen, Yanxin Liu, Yong Shi
2025	J	`jnl`	Quantile-Based Spillover Network Analysis of Financial Institutions in Chinese Mainland and Hong Kong. Int. J. Inf. Technol. Decis. Mak. Yinhong Yao, Zhensong Chen, Wei Chen, Xueyong Liu
2024	J	`jnl`	Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation. Eur. J. Oper. Res. Yong Shi, Yi Qu, Zhensong Chen, Yunlong Mi, Yunong Wang
2024	J	`jnl`	Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction. Int. J. Mach. Learn. Cybern. Yong Shi, Yunong Wang, Yi Qu, Zhensong Chen
2024	J	`jnl`	Stock price prediction for new energy vehicle companies based on multi-source data and hybrid attention structure. Expert Syst. Appl. Xueyong Liu, Yanhui Wu, Min Luo, Zhensong Chen
2022	—	`conf`	Research on Graph Neural Network in Stock Market. ITQM WenJun Zhang, Zhensong Chen, Jianyu Miao, Xueyong Liu
2022	—	`conf`	Research on group profile of social platform based on user value. ITQM Qingyan Tong, Jiayi Sun, Yanxin Liu, Zhensong Chen
2022	—	`conf`	Review of graph construction and graph learning in stock price prediction. ITQM Yunong Wang, Yi Qu, Zhensong Chen
2022	J	`jnl`	Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection. Knowl. Based Syst. Jianyu Miao, Tiejun Yang, Chao Fan, Zhensong Chen, Xuan Fei, Xuchan Ju, Ke Wang, Mingliang Xu
2022	J	`jnl`	Short-term stock trends prediction based on sentiment analysis and machine learning. Soft Comput. Yue Qiu, Zhewei Song, Zhensong Chen
2022	J	`jnl`	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. Manrui Jiang, Lifen Jia, Zhensong Chen, Wei Chen
2021	J	`jnl`	A novel graph convolutional feature based convolutional neural network for stock trend prediction. Inf. Sci. Wei Chen, Manrui Jiang, Wei-Guo Zhang, Zhensong Chen
2021	J	`jnl`	A novel method for time series prediction based on error decomposition and nonlinear combination of forecasters. Neurocomputing Wei Chen, Huilin Xu, Zhensong Chen, Manrui Jiang
2021	J	`jnl`	Active learning from label proportions via pSVM. Neurocomputing Yue Qiu, Mingjie Yan, Zhensong Chen
2021	J	`jnl`	Predicting stock market crisis via market indicators and mixed frequency investor sentiments. Expert Syst. Appl. Shan Lu, Chenhui Liu, Zhensong Chen
2021	J	`jnl`	Unsupervised feature selection by non-convex regularized self-representation. Expert Syst. Appl. Jianyu Miao, Yuan Ping, Zhensong Chen, Xiao-Bo Jin, Peijia Li, Lingfeng Niu
2020	J	`jnl`	Ensemble learning with label proportions for bankruptcy prediction. Expert Syst. Appl. Zhensong Chen, Wei Chen, Yong Shi
2020	J	`jnl`	Token based crack detection. J. Intell. Fuzzy Syst. Fan Meng, Zhiquan Qi, Zhensong Chen, Bo Wang, Yong Shi
2019	J	`jnl`	Constrained matrix factorization for semi-weakly learning with label proportions. Pattern Recognit. Zhensong Chen, Yong Shi, Zhiquan Qi
2019	J	`jnl`	Learning from label proportions with pinball loss. Int. J. Mach. Learn. Cybern. Yong Shi, Limeng Cui, Zhensong Chen, Zhiquan Qi
2018	—	`conf`	A Survey on Semantic Segmentation. ICDM Workshops Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen
2018	B	`conf`	Multi-View Fusion Through Cross-Modal Retrieval. ICIP Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu
2018	B	`conf`	Multi-view Collective Tensor Decomposition for Cross-modal Hashing. ICMR Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu
2017	J	`jnl`	A novel clustering-based image segmentation via density peaks algorithm with mid-level feature. Neural Comput. Appl. Yong Shi, Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui
2017	—	`conf`	Inverse extreme learning machine for learning with label proportions. IEEE BigData Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, Philip S. Yu
2017	J	`jnl`	Learning with label proportions based on nonparallel support vector machines. Knowl. Based Syst. Zhensong Chen, Zhiquan Qi, Bo Wang, Limeng Cui, Fan Meng, Yong Shi
2016	J	`jnl`	Automatic Road Crack Detection Using Random Structured Forests. IEEE Trans. Intell. Transp. Syst. Yong Shi, Limeng Cui, Zhiquan Qi, Fan Meng, Zhensong Chen
2016	—	`conf`	Laplacian SVM for Learning from Label Proportions. ICDM Workshops Limeng Cui, Zhensong Chen, Fan Meng, Yong Shi
2015	—	`conf`	Image Segmentation via Improving Clustering Algorithms with Density and Distance. ITQM Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui, Yong Shi
2015	—	`conf`	Linear Twin SVM for Learning from Label Proportions. WI-IAT (3) Bo Wang, Zhensong Chen, Zhiquan Qi
2015	C	`conf`	Pavement Distress Detection Using Random Decision Forests. ICDS Limeng Cui, Zhiquan Qi, Zhensong Chen, Fan Meng, Yong Shi
2015	C	`conf`	Supervised Object Boundary Detection Based on Structured Forests. ICDS Fan Meng, Zhiquan Qi, Limeng Cui, Zhensong Chen, Yong Shi
2014	—	`conf`	Active Learning with Nonparallel Support Vector Machine for Binary Classification. ICDM Workshops Xi Zhao, Zhensong Chen, Yong Shi