Convolutional Neural Networks Based Intra Prediction for HEVC. - Wenxue Cui; Tao Zhang 013; Shengping Zhang; Feng Jiang 001; Wangmeng Zuo; Zhaolin Wan; Debin Zhao (DCC, 2017)

An Efficient Deep Convolutional Laplacian Pyramid Architecture for Cs Reconstruction At Low Sampling Ratios. - Wenxue Cui; Heyao Xu; Xinwei Gao; Shengping Zhang; Feng Jiang 001; Debin Zhao (ICASSP, 2018)

Deep Neural Network Based Sparse Measurement Matrix for Image Compressed Sensing. - Wenxue Cui; Feng Jiang 001; Xinwei Gao; Wen Tao; Debin Zhao (ICIP, 2018)

Classification Guided Deep Convolutional Network for Compressed Sensing. - Wenxue Cui; Shaohui Liu; Shengping Zhang; Yashu Liu 003; Heyao Xu; Xinwei Gao; Feng Jiang 001; Debin Zhao (ICPR, 2018)

An Efficient Deep Quantized Compressed Sensing Coding Framework of Natural Images. - Wenxue Cui; Feng Jiang 001; Xinwei Gao; Shengping Zhang; Debin Zhao (ACM Multimedia, 2018)

Convolutional Neural Networks based Intra Prediction for HEVC. - Wenxue Cui; Tao Zhang 013; Shengping Zhang; Feng Jiang 001; Wangmeng Zuo; Debin Zhao (CoRR, 2018)

Continuous Bidirectional Optical Flow for Video Frame Sequence Interpolation. - Donghao Gu; Zhaojing Wen; Wenxue Cui; Rui Wang 093; Feng Jiang 001; Shaohui Liu (ICME, 2019)

Multi-Stage Residual Hiding for Image-Into-Audio Steganography. - Wenxue Cui; Shaohui Liu; Feng Jiang 001; Yongliang Liu; Debin Zhao (ICASSP, 2020)

Adaptive Flexible 3D Histogram Watermarking. - Chen Hui; Shaohui Liu; Wenxue Cui; Jinghua Zeng; Feng Jiang 001; Debin Zhao (ICME, 2021)

Protecting the Ownership of Deep Learning Models with An End-to-End Watermarking Framework. - Wei Zhang 192; Wenxue Cui; Feng Jiang 001; Chifu Yang; Ran Li (TrustCom, 2021)

Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing. - Wenxue Cui; Shaohui Liu; Debin Zhao (ACM Multimedia, 2022)

Hierarchical Interactive Reconstruction Network for Video Compressive Sensing. - Tong Zhang; Wenxue Cui; Chen Hui; Feng Jiang 001 (ICASSP, 2023)

G2-DUN: Gradient Guided Deep Unfolding Network for Image Compressive Sensing. - Wenxue Cui; Xingtao Wang; Xiaopeng Fan; Shaohui Liu; Chen Ma; Debin Zhao (ACM Multimedia, 2023)

Progressive Token Reduction and Compensation for Hyperspectral Image Representation. - Chen Ma; Junjun Jiang; Huayi Li; Wenxue Cui; Guoyuan Li (IEEE Trans. Geosci. Remote. Sens., 2023)

Image Compressed Sensing Using Non-Local Neural Network. - Wenxue Cui; Shaohui Liu; Feng Jiang 001; Debin Zhao (IEEE Trans. Multim., 2023)

FCNet: Learning Noise-Free Features for Point Cloud Denoising. - Xingtao Wang; Wenxue Cui; Ruiqin Xiong; Xiaopeng Fan; Debin Zhao (IEEE Trans. Circuits Syst. Video Technol., 2023)

SC-HVPPNet: Spatial and Channel Hybrid-Attention Video Post-Processing Network with CNN and Transformer. - Tong Zhang; Wenxue Cui; Shaohui Liu; Feng Jiang 001 (ICME, 2024)

Mesh Denoising Using Filtering Coefficients Jointly Aware of Noise and Geometry. - Xingtao Wang; Xianqi Zhang; Wenxue Cui; Ruiqin Xiong; Xiaopeng Fan; Debin Zhao (ACM Multimedia, 2024)

GeneWorker: An end-to-end robotic reinforcement learning approach with collaborative generator and worker networks. - Hao Wang 212; Hengyu Man; Wenxue Cui; Riyu Lu; Chenxin Cai; Xiaopeng Fan (Neural Networks, 2024)

Deep Unfolding Network for Image Compressed Sensing by Content-Adaptive Gradient Updating and Deformation-Invariant Non-Local Modeling. - Wenxue Cui; Xiaopeng Fan; Jian Zhang 018; Debin Zhao (IEEE Trans. Multim., 2024)

Rate-Adaptive Neural Network for Image Compressive Sensing. - Chen Hui; Shengping Zhang; Wenxue Cui; Shaohui Liu; Feng Jiang 001; Debin Zhao (IEEE Trans. Multim., 2024)

Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling. - Wenxue Cui; Xingtao Wang; Xiaopeng Fan; Shaohui Liu; Xinwei Gao; Debin Zhao (ACM Trans. Multim. Comput. Commun. Appl., 2024)