Shengjia Chen

According to our database, Shengjia Chen authored at least 20 papers between 2020 and 2024.

Collaborative distances:

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

2024

Triple-Domain Feature Learning With Frequency-Aware Memory Enhancement for Moving Infrared Small Target Detection.

Weiwei Duan, Luping Ji, Shengjia Chen, Sicheng Zhu, Mao Ye

IEEE Trans. Geosci. Remote. Sens., 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

Toward Dense Moving Infrared Small Target Detection: New Datasets and Baseline.

Shengjia Chen, Luping Ji, Sicheng Zhu, Mao Ye, Haohao Ren, Yongsheng Sang

IEEE Trans. Geosci. Remote. Sens., 2024

TMP: Temporal Motion Perception with spatial auxiliary enhancement for moving Infrared dim-small target detection.

Sicheng Zhu, Luping Ji, Jiewen Zhu, Shengjia Chen, Weiwei Duan

Expert Syst. Appl., 2024

Spatio-temporal fusion with motion masks for the moving small target detection from remote-sensing videos.

Sicheng Zhu, Luping Ji, Jiewen Zhu, Shengjia Chen, Haohao Ren

Eng. Appl. Artif. Intell., 2024

Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective.

Shengjia Chen, Gabriele Campanella, Abdulkadir Elmas, Aryeh Stock, Jennifer Zeng, Alexandros D. Polydorides, Adam Schoenfeld, Kuan-Lin Huang, Jane Houldsworth, Chad M. Vanderbilt, Thomas J. Fuchs

CoRR, 2024

A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models.

Gabriele Campanella, Shengjia Chen, Ruchika Verma, Jennifer Zeng, Aryeh Stock, Matt Croken, Brandon Veremis, Abdulkadir Elmas, Kuan-Lin Huang, Ricky Kwan, Jane Houldsworth, Adam Schoenfeld, Chad M. Vanderbilt

CoRR, 2024

MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging.

Chaojie Zhang, Shengjia Chen, Ozkan Cigdem, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz

CoRR, 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