A two-phased and Ensemble scheme integrated Backpropagation algorithm. - Qun Dai; Zhongchen Ma; Qiongyu Xie (Appl. Soft Comput., 2014)

Extreme learning machines' ensemble selection with GRASP. - Ting Zhang; Qun Dai; Zhongchen Ma (Appl. Intell., 2015)

Several novel evaluation measures for rank-based ensemble pruning with applications to time series prediction. - Zhongchen Ma; Qun Dai; Ningzhong Liu (Expert Syst. Appl., 2015)

Selected an Stacking ELMs for Time Series Prediction. - Zhongchen Ma; Qun Dai (Neural Process. Lett., 2016)

Multi-dimensional classification via a metric approach. - Zhongchen Ma; Songcan Chen (Neurocomputing, 2018)

Heterogeneous multi-output classification by structured conditional risk minimization. - Zhongchen Ma; Songcan Chen; Di Ma (Pattern Recognit. Lett., 2018)

A convex formulation for multiple ordinal output classification. - Zhongchen Ma; Songcan Chen (Pattern Recognit., 2019)

Face Aging with Conditional Generative Adversarial Network Guided by Ranking-CNN. - Mengjiao Sheng; Zhongchen Ma; Hongjie Jia; Qirong Mao; Ming Dong 001 (MIPR, 2020)

Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels. - Zhongchen Ma; Songcan Chen (CoRR, 2020)

Latent discriminative representation learning for speaker recognition. - Duolin Huang; Qirong Mao; Zhongchen Ma; Zhi-shen Zheng; Sidheswar Routray; Ocquaye Elias Nii Noi (Frontiers Inf. Technol. Electron. Eng., 2021)

Erratum to: Latent discriminative representation learning for speaker recognition. - Duolin Huang; Qirong Mao; Zhongchen Ma; Zhi-shen Zheng; Sidheswar Routray; Ocquaye Elias Nii Noi (Frontiers Inf. Technol. Electron. Eng., 2021)

Expand globally, shrink locally: Discriminant multi-label learning with missing labels. - Zhongchen Ma; Songcan Chen (Pattern Recognit., 2021)

Cross-Domain Object Representation via Robust Low-Rank Correlation Analysis. - Xiangjun Shen; Jinghui Zhou; Zhongchen Ma; Bing-Kun Bao; Zhengjun Zha (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Learning from Positive and Unlabeled Data with Augmented Classes. - Zhongnian Li; Liutao Yang; Zhongchen Ma; Tongfeng Sun; Xinzheng Xu; Daoqiang Zhang (CoRR, 2022)

Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels. - Zhongchen Ma; Lisha Li; Qirong Mao; Songcan Chen (CoRR, 2022)

MoRE: Multi-output residual embedding for multi-label classification. - Siyu Liu; Xuehua Song; Zhongchen Ma; Ernest Domanaanmwi Ganaa; Xiangjun Shen (Pattern Recognit., 2022)

Improved deep convolutional embedded clustering with re-selectable sample training. - Hu Lu; Chao Chen; Hui Wei 001; Zhongchen Ma; Ke Jiang; Yingquan Wang (Pattern Recognit., 2022)

A Similarity-Based Framework for Classification Task. - Zhongchen Ma; Songcan Chen (IEEE Trans. Knowl. Data Eng., 2023)

A Novel Calibration Method of Line Structured Light Plane Using Spatial Geometry. - Huiping Gao; Guili Xu; Zhongchen Ma (Sensors, 2023)

Multi-level distance embedding learning for robust acoustic scene classification with unseen devices. - Gang Jiang; Zhongchen Ma; Qirong Mao; Jianming Zhang (Pattern Anal. Appl., 2023)

Smart contract vulnerability detection using wide and deep neural network. - Samuel Banning Osei; Zhongchen Ma; Rubing Huang (Sci. Comput. Program., 2024)

An Attention-based Wide and Deep Neural Network for Reentrancy Vulnerability Detection in Smart Contracts. - Samuel Banning Osei; Rubing Huang; Zhongchen Ma (J. Syst. Softw., 2025)

Label correlation preserving visual-semantic joint embedding for multi-label zero-shot learning. - Zhongchen Ma; Runze Ma; Guangchen Wang; Qirong Mao; Ming Dong 001 (Multim. Tools Appl., 2025)