Shengjia Chen

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Hyperspectral Imagery

Object Detection

Semantic Segmentation

Top Venues

IEEE Signal Process. Lett.

Publications

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
A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models. CoRR (2024)
Sicheng Zhu, Luping Ji, Jiewen Zhu, Shengjia Chen, Weiwei Duan
TMP: Temporal Motion Perception with spatial auxiliary enhancement for moving Infrared dim-small target detection. Expert Syst. Appl. 255 (2024)
Weiwei Duan, Luping Ji, Shengjia Chen, Sicheng Zhu, Mao Ye
Triple-domain Feature Learning with Frequency-aware Memory Enhancement for Moving Infrared Small Target Detection. CoRR (2024)
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
Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective. CoRR (2024)
Shengjia Chen, Luping Ji, Jiewen Zhu, Mao Ye, Xiaoyong Yao
SSTNet: Sliced Spatio-Temporal Network With Cross-Slice ConvLSTM for Moving Infrared Dim-Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Chaojie Zhang, Shengjia Chen, Ozkan Cigdem, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz
MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging. CoRR (2024)
Shengjia Chen, Xiwei Yang, Zhixin Li
Improving semantic segmentation with knowledge reasoning network. J. Vis. Commun. Image Represent. 96 (2023)
Shengjia Chen, Jiewen Zhu, Luping Ji, Hongjun Pan, Yuhao Xu
AugTarget Data Augmentation for Infrared Small Target Detection. ICASSP (2023)
Jiewen Zhu, Shengjia Chen, Lexiao Li, Luping Ji
Sanet: Spatial Attention Network with Global Average Contrast Learning for Infrared Small Target Detection. ICASSP (2023)
Shengjia Chen, Nikunj Gupta, Woodward B. Galbraith, Valay Shah, Jacopo Cirrone
Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms. ICBBE (2022)
Shengjia Chen, Nikunj Gupta, Woodward B. Galbraith, Valay Shah, Jacopo Cirrone
Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms. CoRR (2022)
Yu Quan, Zhixin Li, Shengjia Chen, Canlong Zhang, Huifang Ma
Joint deep separable convolution network and border regression reinforcement for object detection. Neural Comput. Appl. 33 (9) (2021)
Shengjia Chen, Zhixin Li, Xiwei Yang
Knowledge Reasoning for Semantic Segmentation. ICASSP (2021)
Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma
Object Detection Using Dual Graph Network. ICPR (2020)
Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma
Improving Object Detection with Relation Mining Network. ICDM (2020)
Ningya Wang, Wenbin Zhou, Jiamin Wu, Shengjia Chen, Ziling Fan
Comparison of Penalty-based Feature Selection Approach on High Throughput Biological Data. ICBET (2020)
Shengjia Chen, Zhixin Li, Zhenjun Tang
Relation R-CNN: A Graph Based Relation-Aware Network for Object Detection. IEEE Signal Process. Lett. 27 (2020)
Jiamin Wu, Shengjia Chen, Wenbin Zhou, Ningya Wang, Ziling Fan
Evaluation of Feature Selection Methods using Bagging and Boosting Ensemble Techniques on High Throughput Biological Data. ICBET (2020)
Feicheng Huang, Zhixin Li, Shengjia Chen, Canlong Zhang, Huifang Ma
Image Captioning with Internal and External Knowledge. CIKM (2020)