Active Learning with Nonparallel Support Vector Machine for Binary Classification. - Xi Zhao; Zhensong Chen 001; Yong Shi 001 (ICDM Workshops, 2014)

Pavement Distress Detection Using Random Decision Forests. - Limeng Cui; Zhiquan Qi; Zhensong Chen 001; Fan Meng; Yong Shi 001 (ICDS, 2015)

Supervised Object Boundary Detection Based on Structured Forests. - Fan Meng; Zhiquan Qi; Limeng Cui; Zhensong Chen 001; Yong Shi 001 (ICDS, 2015)

Image Segmentation via Improving Clustering Algorithms with Density and Distance. - Zhensong Chen 001; Zhiquan Qi; Fan Meng; Limeng Cui; Yong Shi 001 (ITQM, 2015)

Linear Twin SVM for Learning from Label Proportions. - Bo Wang 049; Zhensong Chen 001; Zhiquan Qi (WI-IAT (3), 2015)

Laplacian SVM for Learning from Label Proportions. - Limeng Cui; Zhensong Chen 001; Fan Meng; Yong Shi 001 (ICDM Workshops, 2016)

Automatic Road Crack Detection Using Random Structured Forests. - Yong Shi 001; Limeng Cui; Zhiquan Qi; Fan Meng; Zhensong Chen 001 (IEEE Trans. Intell. Transp. Syst., 2016)

Inverse extreme learning machine for learning with label proportions. - Limeng Cui; Jiawei Zhang 001; Zhensong Chen 001; Yong Shi 001; Philip S. Yu (IEEE BigData, 2017)

Learning with label proportions based on nonparallel support vector machines. - Zhensong Chen 001; Zhiquan Qi; Bo Wang 049; Limeng Cui; Fan Meng; Yong Shi 001 (Knowl. Based Syst., 2017)

A novel clustering-based image segmentation via density peaks algorithm with mid-level feature. - Yong Shi 001; Zhensong Chen 001; Zhiquan Qi; Fan Meng; Limeng Cui (Neural Comput. Appl., 2017)

A Survey on Semantic Segmentation. - Biao Li; Yong Shi 001; Zhiquan Qi; Zhensong Chen 001 (ICDM Workshops, 2018)

Multi-View Fusion Through Cross-Modal Retrieval. - Limeng Cui; Zhensong Chen 001; Jiawei Zhang 001; Lifang He 001; Yong Shi 001; Philip S. Yu (ICIP, 2018)

Multi-view Collective Tensor Decomposition for Cross-modal Hashing. - Limeng Cui; Zhensong Chen 001; Jiawei Zhang 001; Lifang He 001; Yong Shi 001; Philip S. Yu (ICMR, 2018)

Learning from label proportions with pinball loss. - Yong Shi 001; Limeng Cui; Zhensong Chen 001; Zhiquan Qi (Int. J. Mach. Learn. Cybern., 2019)

Constrained matrix factorization for semi-weakly learning with label proportions. - Zhensong Chen 001; Yong Shi 001; Zhiquan Qi (Pattern Recognit., 2019)

Ensemble learning with label proportions for bankruptcy prediction. - Zhensong Chen 001; Wei Chen 061; Yong Shi 001 (Expert Syst. Appl., 2020)

Token based crack detection. - Fan Meng; Zhiquan Qi; Zhensong Chen 001; Bo Wang 049; Yong Shi 001 (J. Intell. Fuzzy Syst., 2020)

Predicting stock market crisis via market indicators and mixed frequency investor sentiments. - Shan Lu; Chenhui Liu; Zhensong Chen 001 (Expert Syst. Appl., 2021)

Unsupervised feature selection by non-convex regularized self-representation. - Jianyu Miao; Yuan Ping; Zhensong Chen 001; Xiao-Bo Jin; Peijia Li; Lingfeng Niu (Expert Syst. Appl., 2021)

A novel method for time series prediction based on error decomposition and nonlinear combination of forecasters. - Wei Chen 061; Huilin Xu; Zhensong Chen 001; Manrui Jiang (Neurocomputing, 2021)

Active learning from label proportions via pSVM. - Yue Qiu; Mingjie Yan; Zhensong Chen 001 (Neurocomputing, 2021)

A novel graph convolutional feature based convolutional neural network for stock trend prediction. - Wei Chen 061; Manrui Jiang; Wei-Guo Zhang; Zhensong Chen 001 (Inf. Sci., 2021)

Research on group profile of social platform based on user value. - Qingyan Tong; Jiayi Sun; Yanxin Liu; Zhensong Chen 001 (ITQM, 2022)

Review of graph construction and graph learning in stock price prediction. - Yunong Wang; Yi Qu; Zhensong Chen 001 (ITQM, 2022)

Research on Graph Neural Network in Stock Market. - Wenjun Zhang; Zhensong Chen 001; Jianyu Miao; Xueyong Liu (ITQM, 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 001; Wei Chen 061 (Ann. Oper. Res., 2022)

Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection. - Jianyu Miao; Tiejun Yang; Chao Fan; Zhensong Chen 001; Xuan Fei; Xuchan Ju; Ke Wang 064; Mingliang Xu 001 (Knowl. Based Syst., 2022)

Short-term stock trends prediction based on sentiment analysis and machine learning. - Yue Qiu; Zhewei Song; Zhensong Chen 001 (Soft Comput., 2022)

Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation. - Yong Shi 001; Yi Qu; Zhensong Chen 001; Yunlong Mi; Yunong Wang (Eur. J. Oper. Res., 2024)

Stock price prediction for new energy vehicle companies based on multi-source data and hybrid attention structure. - Xueyong Liu; Yanhui Wu; Min Luo; Zhensong Chen 001 (Expert Syst. Appl., 2024)

Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction. - Yong Shi 001; Yunong Wang; Yi Qu; Zhensong Chen 001 (Int. J. Mach. Learn. Cybern., 2024)

Quantile-Based Spillover Network Analysis of Financial Institutions in Chinese Mainland and Hong Kong. - Yinhong Yao; Zhensong Chen 001; Wei Chen 061; Xueyong Liu (Int. J. Inf. Technol. Decis. Mak., 2025)