Zhongchen Ma

According to our database, Zhongchen Ma authored at least 26 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

An empirical study of attention mechanisms in wide and deep neural networks for smart contract vulnerability detection.

Samuel Banning Osei, Rubing Huang, Rongcun Wang, Zhongchen Ma

J. Syst. Softw., 2026

Attribute-calibrated local embeddings for prompt learning in vision-language models.

Zhongchen Ma, Jiahao Song, Xingchen Wu, Yintong Wang, Lijian Gao

Inf. Sci., 2026

2025

Label correlation preserving visual-semantic joint embedding for multi-label zero-shot learning.

Zhongchen Ma, Runze Ma, Guangchen Wang, Qirong Mao, Ming Dong

Multim. Tools Appl., June, 2025

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

Adversarial Prompt Increment for Robust Vision-Language Models.

Zhouchen Yang, Zhongchen Ma

Proceedings of the Biometric Recognition - 19th Chinese Conference, 2025

2024

Smart contract vulnerability detection using wide and deep neural network.

Samuel Banning Osei, Zhongchen Ma, Rubing Huang

Sci. Comput. Program., 2024

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., August, 2023

A Novel Calibration Method of Line Structured Light Plane Using Spatial Geometry.

Huiping Gao, Guili Xu, Zhongchen Ma

Sensors, July, 2023

A Similarity-Based Framework for Classification Task.

Zhongchen Ma, Songcan Chen

IEEE Trans. Knowl. Data Eng., May, 2023

2022

Improved deep convolutional embedded clustering with re-selectable sample training.

Hu Lu, Chao Chen, Hui Wei, Zhongchen Ma, Ke Jiang, Yingquan Wang

Pattern Recognit., 2022

MoRE: Multi-output residual embedding for multi-label classification.

Siyu Liu, Xuehua Song, Zhongchen Ma, Ernest Domanaanmwi Ganaa, Xiangjun Shen

Pattern Recognit., 2022

Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels.

Zhongchen Ma, Lisha Li, Qirong Mao, Songcan Chen

CoRR, 2022

Learning from Positive and Unlabeled Data with Augmented Classes.

Zhongnian Li, Liutao Yang, Zhongchen Ma, Tongfeng Sun, Xinzheng Xu, Daoqiang Zhang

CoRR, 2022

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

Expand globally, shrink locally: Discriminant multi-label learning with missing labels.

Zhongchen Ma, Songcan Chen

Pattern Recognit., 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

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

2020

Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels.

Zhongchen Ma, Songcan Chen

CoRR, 2020

Face Aging with Conditional Generative Adversarial Network Guided by Ranking-CNN.

Mengjiao Sheng, Zhongchen Ma, Hongjie Jia, Qirong Mao, Ming Dong

Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

2019

A convex formulation for multiple ordinal output classification.

Zhongchen Ma, Songcan Chen

Pattern Recognit., 2019

2018

Heterogeneous multi-output classification by structured conditional risk minimization.

Zhongchen Ma, Songcan Chen, Di Ma

Pattern Recognit. Lett., 2018

Multi-dimensional classification via a metric approach.

Zhongchen Ma, Songcan Chen

Neurocomputing, 2018

2016

Selected an Stacking ELMs for Time Series Prediction.

Zhongchen Ma, Qun Dai

Neural Process. Lett., 2016

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

Extreme learning machines' ensemble selection with GRASP.

Ting Zhang, Qun Dai, Zhongchen Ma

Appl. Intell., 2015

2014

A two-phased and Ensemble scheme integrated Backpropagation algorithm.

Qun Dai, Zhongchen Ma, Qiongyu Xie

Appl. Soft Comput., 2014