Fei Chen

According to our database, Fei Chen authored at least 26 papers between 2010 and 2024.

Collaborative distances:

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

2024

Lightweight Privacy-Preserving Feature Extraction for EEG Signals Under Edge Computing.

Nazhao Yan, Hang Cheng, Ximeng Liu, Fei Chen, Meiqing Wang

IEEE Internet Things J., January, 2024

Manifold Graph Signal Restoration Using Gradient Graph Laplacian Regularizer.

Fei Chen, Gene Cheung, Xue Zhang

IEEE Trans. Signal Process., 2024

2023

Model poisoning attack in differential privacy-based federated learning.

Ming Yang, Hang Cheng, Fei Chen, Ximeng Liu, Meiqing Wang, Xibin Li

Inf. Sci., June, 2023

Handwriting Curve Interpolation Using Gradient Graph Laplacian Regularizer.

Yinhe Lin, Fei Chen, Hang Cheng, Meiqing Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

VPFL: A Verifiable Property Federated Learning Framework Against Invisible Attacks in Distributed IoT.

Yuanxiang Wu, Hang Cheng, Lin Guan, Peihao Liu, Fei Chen, Meiqing Wang

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Modeling Viral Information Spreading via Directed Acyclic Graph Diffusion.

Chinthaka Dinesh, Gene Cheung, Fei Chen, Yuejiang Li, H. Vicky Zhao

Proceedings of the IEEE Global Communications Conference, 2023

2022

Convolutional dual graph Laplacian sparse coding.

Xuefeng Peng, Fei Chen, Hang Cheng, Meiqing Wang

CoRR, 2022

Privacy-Preserving Image Watermark Embedding Method Based on Edge Computing.

Hang Cheng, Qinjian Huang, Fei Chen, Meiqing Wang, Wanxi Yan

IEEE Access, 2022

2021

Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding.

Fei Chen, Gene Cheung, Xue Zhang

CoRR, 2021

Fast & Robust Image Interpolation Using Gradient Graph Laplacian Regularizer.

Fei Chen, Gene Cheung, Xue Zhang

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Balanced Loss for Accurate Object Detection.

Qi Cheng, Yingjie Wu, Fei Chen, Yilong Guo

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

MagnifierNet: Learning Efficient Small-scale Pedestrian Detector towards Multiple Dense Regions.

Qi Cheng, Mingqin Chen, Yingjie Wu, Fei Chen, Shiping Lin

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

Fully Convolutional One-Stage Circular Object Detector on Medical Images.

Yilong Guo, Fei Chen, Qi Cheng, Jiamin Wu, Bo Wang, Yingjie Wu, Wenxin Zhao

Proceedings of the ICAIP 2020: 4th International Conference on Advances in Image Processing, 2020

2019

Circulant dissimilarity-based shape registration for object segmentation.

Xunxun Zeng, Fei Chen, Meiqing Wang, Choi-Hong Lai

Int. J. Comput. Math., 2019

Optimization of Excess Bounding Boxes in Micro-part Detection and Segmentation.

Yining Qian, Fei Chen

Proceedings of the Image and Graphics - 10th International Conference, 2019

2018

Shape group Boltzmann machine for simultaneous object segmentation and action classification.

Xunxun Zeng, Fei Chen, Meiqing Wang

Pattern Recognit. Lett., 2018

Image Cosegmentation Using Shape Similarity and Object Discovery Scheme.

Haiping Xu, Meiqing Wang, Fei Chen, Choi-Hong Lai

Int. J. Pattern Recognit. Artif. Intell., 2018

2015

Robust sparse kernel density estimation by inducing randomness.

Fei Chen, Huimin Yu, Jincao Yao, Roland Hu

Pattern Anal. Appl., 2015

Image denoising via local and nonlocal circulant similarity.

Fei Chen, Xunxun Zeng, Meiqing Wang

J. Vis. Commun. Image Represent., 2015

External Patch Prior Guided Internal Clustering for Image Denoising.

Fei Chen, Lei Zhang, Huimin Yu

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Sparse convex combination of shape priors for joint object segmentation and recognition.

Fei Chen, Xunxun Zeng

Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015

2013

Shape Sparse Representation for Joint Object Classification and Segmentation.

Fei Chen, Huimin Yu, Roland Hu

IEEE Trans. Image Process., 2013

Deep Learning Shape Priors for Object Segmentation.

Fei Chen, Huimin Yu, Roland Hu, Xunxun Zeng

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Reduced set density estimator for object segmentation based on shape probabilistic representation.

Fei Chen, Roland Hu, Huimin Yu, Shiyan Wang

J. Vis. Commun. Image Represent., 2012

2010

Incorporating Watson's perceptual model into patchwork watermarking for digital images.

Roland Hu, Fei Chen, Huimin Yu

Proceedings of the International Conference on Image Processing, 2010

Simultaneous variational image segmentation and object recognition via shape sparse representation.

Fei Chen, Huimin Yu, Roland Hu

Proceedings of the International Conference on Image Processing, 2010