Guodong Du

According to our database, Guodong Du authored at least 18 papers between 2019 and 2025.

Collaborative distances:

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

2025

Consistent and specific multi-view multi-label learning with correlation information.

Yiting Li, Jia Zhang, Hanrui Wu, Guodong Du, Jinyi Long

Inf. Sci., 2025

2024

Hospital readmission prediction with hybrid-sampling and self-paced balance learning.

Ying Xu, Ning Zhang, Ao Wang, Tao Feng, Guodong Du

Concurr. Comput. Pract. Exp., August, 2024

Learning to cluster person via graph convolution networks for video-based person re-identification.

Wei Li, Tao Feng, Guodong Du, Sixin Liang, Ang Bian

Concurr. Comput. Pract. Exp., August, 2024

Semi-supervised imbalanced multi-label classification with label propagation.

Guodong Du, Jia Zhang, Ning Zhang, Hanrui Wu, Peiliang Wu, Shaozi Li

Pattern Recognit., 2024

Parameter Competition Balancing for Model Merging.

Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang

CoRR, 2024

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks.

Guodong Du, Runhua Jiang, Senqiao Yang, HaoYang Li, Wei Chen, Keren Li, Sim Kuan Goh, Ho-Kin Tang

CoRR, 2024

Evolutionary Neural Architecture Search for 3D Point Cloud Analysis.

Yisheng Yang, Guodong Du, Chean Khim Toa, Ho-Kin Tang, Sim Kuan Goh

CoRR, 2024

CADE: Cosine Annealing Differential Evolution for Spiking Neural Network.

Runhua Jiang, Guodong Du, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang

Proceedings of the International Joint Conference on Neural Networks, 2024

Knowledge Fusion By Evolving Weights of Language Models.

Guodong Du, Jing Li, Hanting Liu, Runhua Jiang, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Graph-Based Class-Imbalance Learning With Label Enhancement.

Guodong Du, Jia Zhang, Min Jiang, Jinyi Long, Yaojin Lin, Shaozi Li, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Toward embedding-based multi-label feature selection with label and feature collaboration.

Liang Dai, Jia Zhang, Guodong Du, Candong Li, Rong Wei, Shaozi Li

Neural Comput. Appl., February, 2023

KSCB: a novel unsupervised method for text sentiment analysis.

Weili Jiang, Kangneng Zhou, Chenchen Xiong, Guodong Du, Chubin Ou, Junpeng Zhang

Appl. Intell., 2023

2021

Learning from class-imbalance and heterogeneous data for 30-day hospital readmission.

Guodong Du, Jia Zhang, Shaozi Li, Candong Li

Neurocomputing, 2021

Towards graph-based class-imbalance learning for hospital readmission.

Guodong Du, Jia Zhang, Fenglong Ma, Min Zhao, Yaojin Lin, Shaozi Li

Expert Syst. Appl., 2021

2020

Joint imbalanced classification and feature selection for hospital readmissions.

Guodong Du, Jia Zhang, Zhiming Luo, Fenglong Ma, Lei Ma, Shaozi Li

Knowl. Based Syst., 2020

Towards Chinese clinical named entity recognition by dynamic embedding using domain-specific knowledge.

Yuan Li, Guodong Du, Yan Xiang, Shaozi Li, Lei Ma, Dangguo Shao, Xiongbin Wang, Haoyu Chen

J. Biomed. Informatics, 2020

Joint multilabel classification and feature selection based on deep canonical correlation analysis.

Liang Dai, Guodong Du, Jia Zhang, Candong Li, Rong Wei, Shaozi Li

Concurr. Comput. Pract. Exp., 2020

2019

Prediction of 30-Day Readmission: An Improved Gradient Boosting Decision Tree Approach.

Guodong Du, Lei Ma, Jinshan Hu, Junpeng Zhang, Yan Xiang, Dangguo Shao, Hongbin Wang

J. Medical Imaging Health Informatics, 2019