Simultaneous variational image segmentation and object recognition via shape sparse representation. - Fei Chen 012; Huimin Yu; Roland Hu (ICIP, 2010)

Incorporating Watson's perceptual model into patchwork watermarking for digital images. - Roland Hu; Fei Chen 012; Huimin Yu (ICIP, 2010)

Reduced set density estimator for object segmentation based on shape probabilistic representation. - Fei Chen 012; Roland Hu; Huimin Yu; Shiyan Wang (J. Vis. Commun. Image Represent., 2012)

Deep Learning Shape Priors for Object Segmentation. - Fei Chen 012; Huimin Yu; Roland Hu; Xunxun Zeng (CVPR, 2013)

Shape Sparse Representation for Joint Object Classification and Segmentation. - Fei Chen 012; Huimin Yu; Roland Hu (IEEE Trans. Image Process., 2013)

Sparse convex combination of shape priors for joint object segmentation and recognition. - Fei Chen 012; Xunxun Zeng (ICACI, 2015)

External Patch Prior Guided Internal Clustering for Image Denoising. - Fei Chen 012; Lei Zhang 006; Huimin Yu (ICCV, 2015)

Image denoising via local and nonlocal circulant similarity. - Fei Chen 012; Xunxun Zeng; Meiqing Wang (J. Vis. Commun. Image Represent., 2015)

Robust sparse kernel density estimation by inducing randomness. - Fei Chen 012; Huimin Yu; Jincao Yao; Roland Hu (Pattern Anal. Appl., 2015)

Image Cosegmentation Using Shape Similarity and Object Discovery Scheme. - Haiping Xu; Meiqing Wang; Fei Chen 012; Choi-Hong Lai (Int. J. Pattern Recognit. Artif. Intell., 2018)

Shape group Boltzmann machine for simultaneous object segmentation and action classification. - Xunxun Zeng; Fei Chen 012; Meiqing Wang (Pattern Recognit. Lett., 2018)

Optimization of Excess Bounding Boxes in Micro-part Detection and Segmentation. - Yining Qian; Fei Chen 012 (ICIG (2), 2019)

Circulant dissimilarity-based shape registration for object segmentation. - Xunxun Zeng; Fei Chen 012; Meiqing Wang; Choi-Hong Lai (Int. J. Comput. Math., 2019)

Fully Convolutional One-Stage Circular Object Detector on Medical Images. - Yilong Guo; Fei Chen 012; Qi Cheng; Jiamin Wu; Bo Wang; Yingjie Wu; Wenxin Zhao (ICAIP, 2020)

MagnifierNet: Learning Efficient Small-scale Pedestrian Detector towards Multiple Dense Regions. - Qi Cheng; Mingqin Chen; Yingjie Wu; Fei Chen 012; Shiping Lin (ICPR, 2020)

Balanced Loss for Accurate Object Detection. - Qi Cheng; Yingjie Wu; Fei Chen 012; Yilong Guo (PRCV (3), 2020)

Fast & Robust Image Interpolation Using Gradient Graph Laplacian Regularizer. - Fei Chen 012; Gene Cheung; Xue Zhang (ICIP, 2021)

Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding. - Fei Chen 012; Gene Cheung; Xue Zhang (CoRR, 2021)

Privacy-Preserving Image Watermark Embedding Method Based on Edge Computing. - Hang Cheng; Qinjian Huang; Fei Chen 012; Meiqing Wang; Wanxi Yan (IEEE Access, 2022)

Convolutional dual graph Laplacian sparse coding. - Xuefeng Peng; Fei Chen 012; Hang Cheng; Meiqing Wang (CoRR, 2022)

Modeling Viral Information Spreading via Directed Acyclic Graph Diffusion. - Chinthaka Dinesh; Gene Cheung; Fei Chen 012; Yuejiang Li; H. Vicky Zhao (GLOBECOM, 2023)

VPFL: A Verifiable Property Federated Learning Framework Against Invisible Attacks in Distributed IoT. - Yuanxiang Wu; Hang Cheng; Lin Guan; Peihao Liu; Fei Chen 012; Meiqing Wang (HPCC/DSS/SmartCity/DependSys, 2023)

Handwriting Curve Interpolation Using Gradient Graph Laplacian Regularizer. - Yinhe Lin; Fei Chen 012; Hang Cheng; Meiqing Wang (ICME, 2023)

Reversible and colorable deep image steganography with large capacity. - Li Wu; Hang Cheng; Wanxi Yan; Fei Chen 012; Meiqing Wang; Tingqiang Wang (J. Electronic Imaging, 2023)

Model poisoning attack in differential privacy-based federated learning. - Ming Yang; Hang Cheng; Fei Chen 012; Ximeng Liu; Meiqing Wang; Xibin Li (Inf. Sci., 2023)

Soft Image Segmentation Using Gradient Graph Laplacian Regularizer. - Fei Chen 012; Gene Cheung; Xue Zhang (ICASSP, 2024)

Lossless image steganography: Regard steganography as super-resolution. - Tingqiang Wang; Hang Cheng; Ximeng Liu; Yongliang Xu; Fei Chen 012; Meiqing Wang; Jiaoling Chen (Inf. Process. Manag., 2024)

Vision-language pre-training via modal interaction. - Hang Cheng; Hehui Ye; Xiaofei Zhou; Ximeng Liu; Fei Chen 012; Meiqing Wang (Pattern Recognit., 2024)

Manifold Graph Signal Restoration Using Gradient Graph Laplacian Regularizer. - Fei Chen 012; Gene Cheung; Xue Zhang (IEEE Trans. Signal Process., 2024)

Lightweight Privacy-Preserving Feature Extraction for EEG Signals Under Edge Computing. - Nazhao Yan; Hang Cheng; Ximeng Liu; Fei Chen 012; Meiqing Wang (IEEE Internet Things J., 2024)

GraphMMC: Class-Balanced Pseudo-Labels Generation for Graph Node Classification. - Jiyou Ma; Fei Chen 012; Fan Jiang; Hang Cheng; Meiqing Wang (ICIC (8), 2025)

NiNet: A new invertible neural network architecture more suitable for deep image hiding. - Zishun Ni; Hang Cheng; Jiaoling Chen; Yongliang Xu; Fei Chen 012; Meiqing Wang (Inf. Process. Manag., 2025)

EAN: Edge-Aware Network for Image Manipulation Localization. - Yun Chen; Hang Cheng; Haichou Wang; Ximeng Liu; Fei Chen 012; Fengyong Li; Xinpeng Zhang 001; Meiqing Wang (IEEE Trans. Circuits Syst. Video Technol., 2025)