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Fei Chen 0012
Person information
- affiliation: Fuzhou University, College of Mathematics and Computer Science, China
- affiliation (PhD 2013): Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou, China
Other persons with the same name
- Fei Chen — disambiguation page
- Fei Chen 0001 — BloomReach Inc, Mountain View, CA, USA (and 1 more)
- Fei Chen 0002 — University of Wisconsin-Madison, Department of Computer Science, WI, USA
- Fei Chen 0003 — Shenzhen University, Department of Computer Science and Engineering, China (and 1 more)
- Fei Chen 0004 — Yunnan University of Finance and Economics, Kunming, China
- Fei Chen 0005 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, China
- Fei Chen 0006 — Tsinghua University, Institute of Microelectronics, Beijing, China
- Fei Chen 0007 — Chinese University of Hong Kong, China (and 2 more)
- Fei Chen 0008 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China (and 3 more)
- Fei Chen 0009 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Fei Chen 0010 — Jiangnan University, School of Digital Media, Wuxi, China (and 1 more)
- Fei Chen 0011 — Southern University of Science and Technology, Department of Electrical and Electronic Engineering, Shenzhen, China (and 1 more)
- Fei Chen 0013 — Huawei Noah's Ark Lab, Hong Kong (and 1 more)
- Fei Chen 0014 — Qingdao University, College of Computer Science and Technology, China (and 1 more)
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2020 – today
- 2024
- [j13]Nazhao Yan, Hang Cheng, Ximeng Liu, Fei Chen, Meiqing Wang:
Lightweight Privacy-Preserving Feature Extraction for EEG Signals Under Edge Computing. IEEE Internet Things J. 11(2): 2520-2533 (2024) - [j12]Tingqiang Wang, Hang Cheng, Ximeng Liu, Yongliang Xu, Fei Chen, Meiqing Wang, Jiaoling Chen:
Lossless image steganography: Regard steganography as super-resolution. Inf. Process. Manag. 61(4): 103719 (2024) - [j11]Hang Cheng, Hehui Ye, Xiaofei Zhou, Ximeng Liu, Fei Chen, Meiqing Wang:
Vision-language pre-training via modal interaction. Pattern Recognit. 156: 110809 (2024) - [j10]Fei Chen, Gene Cheung, Xue Zhang:
Manifold Graph Signal Restoration Using Gradient Graph Laplacian Regularizer. IEEE Trans. Signal Process. 72: 744-761 (2024) - [c14]Fei Chen, Gene Cheung, Xue Zhang:
Soft Image Segmentation Using Gradient Graph Laplacian Regularizer. ICASSP 2024: 9526-9530 - 2023
- [j9]Ming Yang, Hang Cheng, Fei Chen, Ximeng Liu, Meiqing Wang, Xibin Li:
Model poisoning attack in differential privacy-based federated learning. Inf. Sci. 630: 158-172 (2023) - [c13]Chinthaka Dinesh, Gene Cheung, Fei Chen, Yuejiang Li, H. Vicky Zhao:
Modeling Viral Information Spreading via Directed Acyclic Graph Diffusion. GLOBECOM 2023: 1179-1184 - [c12]Yuanxiang Wu, Hang Cheng, Lin Guan, Peihao Liu, Fei Chen, Meiqing Wang:
VPFL: A Verifiable Property Federated Learning Framework Against Invisible Attacks in Distributed IoT. HPCC/DSS/SmartCity/DependSys 2023: 671-678 - [c11]Yinhe Lin, Fei Chen, Hang Cheng, Meiqing Wang:
Handwriting Curve Interpolation Using Gradient Graph Laplacian Regularizer. ICME 2023: 1649-1654 - [i3]Chinthaka Dinesh, Gene Cheung, Fei Chen, Yuejiang Li, H. Vicky Zhao:
Modeling Viral Information Spreading via Directed Acyclic Graph Diffusion. CoRR abs/2305.05107 (2023) - 2022
- [j8]Hang Cheng, Qinjian Huang, Fei Chen, Meiqing Wang, Wanxi Yan:
Privacy-Preserving Image Watermark Embedding Method Based on Edge Computing. IEEE Access 10: 18570-18582 (2022) - [i2]Xuefeng Peng, Fei Chen, Hang Cheng, Meiqing Wang:
Convolutional dual graph Laplacian sparse coding. CoRR abs/2201.04818 (2022) - 2021
- [c10]Fei Chen, Gene Cheung, Xue Zhang:
Fast & Robust Image Interpolation Using Gradient Graph Laplacian Regularizer. ICIP 2021: 1964-1968 - [i1]Fei Chen, Gene Cheung, Xue Zhang:
Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding. CoRR abs/2112.07862 (2021) - 2020
- [c9]Yilong Guo, Fei Chen, Qi Cheng, Jiamin Wu, Bo Wang, Yingjie Wu, Wenxin Zhao:
Fully Convolutional One-Stage Circular Object Detector on Medical Images. ICAIP 2020: 21-26 - [c8]Qi Cheng, Mingqin Chen, Yingjie Wu, Fei Chen, Shiping Lin:
MagnifierNet: Learning Efficient Small-scale Pedestrian Detector towards Multiple Dense Regions. ICPR 2020: 1483-1490 - [c7]Qi Cheng, Yingjie Wu, Fei Chen, Yilong Guo:
Balanced Loss for Accurate Object Detection. PRCV (3) 2020: 342-354
2010 – 2019
- 2019
- [j7]Xunxun Zeng, Fei Chen, Meiqing Wang, Choi-Hong Lai:
Circulant dissimilarity-based shape registration for object segmentation. Int. J. Comput. Math. 96(4): 753-766 (2019) - [c6]Yining Qian, Fei Chen:
Optimization of Excess Bounding Boxes in Micro-part Detection and Segmentation. ICIG (2) 2019: 738-749 - 2018
- [j6]Haiping Xu, Meiqing Wang, Fei Chen, Choi-Hong Lai:
Image Cosegmentation Using Shape Similarity and Object Discovery Scheme. Int. J. Pattern Recognit. Artif. Intell. 32(10): 1854026:1-1854026:19 (2018) - [j5]Xunxun Zeng, Fei Chen, Meiqing Wang:
Shape group Boltzmann machine for simultaneous object segmentation and action classification. Pattern Recognit. Lett. 111: 43-50 (2018) - 2015
- [j4]Fei Chen, Xunxun Zeng, Meiqing Wang:
Image denoising via local and nonlocal circulant similarity. J. Vis. Commun. Image Represent. 30: 117-124 (2015) - [j3]Fei Chen, Huimin Yu, Jincao Yao, Roland Hu:
Robust sparse kernel density estimation by inducing randomness. Pattern Anal. Appl. 18(2): 367-375 (2015) - [c5]Fei Chen, Xunxun Zeng:
Sparse convex combination of shape priors for joint object segmentation and recognition. ICACI 2015: 195-200 - [c4]Fei Chen, Lei Zhang, Huimin Yu:
External Patch Prior Guided Internal Clustering for Image Denoising. ICCV 2015: 603-611 - 2013
- [j2]Fei Chen, Huimin Yu, Roland Hu:
Shape Sparse Representation for Joint Object Classification and Segmentation. IEEE Trans. Image Process. 22(3): 992-1004 (2013) - [c3]Fei Chen, Huimin Yu, Roland Hu, Xunxun Zeng:
Deep Learning Shape Priors for Object Segmentation. CVPR 2013: 1870-1877 - 2012
- [j1]Fei Chen, Roland Hu, Huimin Yu, Shiyan Wang:
Reduced set density estimator for object segmentation based on shape probabilistic representation. J. Vis. Commun. Image Represent. 23(7): 1085-1094 (2012) - 2010
- [c2]Fei Chen, Huimin Yu, Roland Hu:
Simultaneous variational image segmentation and object recognition via shape sparse representation. ICIP 2010: 3057-3060 - [c1]Roland Hu, Fei Chen, Huimin Yu:
Incorporating Watson's perceptual model into patchwork watermarking for digital images. ICIP 2010: 3705-3708
Coauthor Index
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