Shengjia Chen

According to our database, Shengjia Chen authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

SSTNet: Sliced Spatio-Temporal Network With Cross-Slice ConvLSTM for Moving Infrared Dim-Small Target Detection.

Shengjia Chen, Luping Ji, Jiewen Zhu, Mao Ye, Xiaoyong Yao

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Improving semantic segmentation with knowledge reasoning network.

Shengjia Chen, Xiwei Yang, Zhixin Li

J. Vis. Commun. Image Represent., October, 2023

Sanet: Spatial Attention Network with Global Average Contrast Learning for Infrared Small Target Detection.

Jiewen Zhu, Shengjia Chen, Lexiao Li, Luping Ji

Proceedings of the IEEE International Conference on Acoustics, 2023

AugTarget Data Augmentation for Infrared Small Target Detection.

Shengjia Chen, Jiewen Zhu, Luping Ji, Hongjun Pan, Yuhao Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms.

Shengjia Chen, Nikunj Gupta, Woodward B. Galbraith, Valay Shah, Jacopo Cirrone

Proceedings of the 9th International Conference on Biomedical and Bioinformatics Engineering, 2022

2021

Joint deep separable convolution network and border regression reinforcement for object detection.

Yu Quan, Zhixin Li, Shengjia Chen, Canlong Zhang, Huifang Ma

Neural Comput. Appl., 2021

Knowledge Reasoning for Semantic Segmentation.

Shengjia Chen, Zhixin Li, Xiwei Yang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Relation R-CNN: A Graph Based Relation-Aware Network for Object Detection.

Shengjia Chen, Zhixin Li, Zhenjun Tang

IEEE Signal Process. Lett., 2020

Object Detection Using Dual Graph Network.

Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Improving Object Detection with Relation Mining Network.

Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Evaluation of Feature Selection Methods using Bagging and Boosting Ensemble Techniques on High Throughput Biological Data.

Jiamin Wu, Shengjia Chen, Wenbin Zhou, Ningya Wang, Ziling Fan

Proceedings of the 10th International Conference on Biomedical Engineering and Technology, 2020

Comparison of Penalty-based Feature Selection Approach on High Throughput Biological Data.

Ningya Wang, Wenbin Zhou, Jiamin Wu, Shengjia Chen, Ziling Fan

Proceedings of the 10th International Conference on Biomedical Engineering and Technology, 2020

Image Captioning with Internal and External Knowledge.

Feicheng Huang, Zhixin Li, Shengjia Chen, Canlong Zhang, Huifang Ma

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020