Scalable Coding of Depth Images with Synthesis-Guided Edge Detection. - Lijun Zhao 002; Anhong Wang; Bing Zeng; Jian Jin (KSII Trans. Internet Inf. Syst., 2015)

Joint iterative guidance filtering for compressed depth images. - Lijun Zhao 002; Huihui Bai 001; Anhong Wang; Yao Zhao 001 (VCIP, 2016)

Convolutional neural network-based depth image artifact removal. - Lijun Zhao 002; Jie Liang 001; Huihui Bai 001; Anhong Wang; Yao Zhao 001 (ICIP, 2017)

Single depth image super-resolution with multiple residual dictionary learning and refinement. - Lijun Zhao 002; Huihui Bai 001; Jie Liang 001; Anhong Wang; Yao Zhao 001 (ICME, 2017)

Local Activity-tuned Image Filtering for Noise Removal and Image Smoothing. - Lijun Zhao 002; Jie Liang 001; Huihui Bai 001; Lili Meng; Anhong Wang; Yao Zhao 001 (CoRR, 2017)

Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network. - Lijun Zhao 002; Jie Liang 001; Huihui Bai 001; Anhong Wang; Yao Zhao 001 (CoRR, 2017)

Two-stage filtering of compressed depth images with Markov Random Field. - Lijun Zhao 002; Huihui Bai 001; Anhong Wang; Yao Zhao 001; Bing Zeng (Signal Process. Image Commun., 2017)

Dual-Streams Edge Driven Encoder-Decoder Network for Image Super-Resolution. - Feng Li 037; Huihui Bai 001; Lijun Zhao 002; Yao Zhao 001 (IEEE Access, 2018)

Mixed-Resolution Image Representation and Compression with Convolutional Neural Networks. - Lijun Zhao 002; Huihui Bai 001; Feng Li 037; Anhong Wang; Yao Zhao 001 (CoRR, 2018)

Virtual Codec Supervised Re-Sampling Network for Image Compression. - Lijun Zhao 002; Huihui Bai 001; Anhong Wang; Yao Zhao 001 (CoRR, 2018)

Cascaded reconstruction network for compressive image sensing. - Yahan Wang; Huihui Bai 001; Lijun Zhao 002; Yao Zhao 001 (EURASIP J. Image Video Process., 2018)

Deep Multiple Description Coding by Learning Scalar Quantization. - Lijun Zhao 002; Huihui Bai 001; Anhong Wang; Yao Zhao 001 (DCC, 2019)

Learning a virtual codec based on deep convolutional neural network to compress image. - Lijun Zhao 002; Huihui Bai 001; Anhong Wang; Yao Zhao 001 (J. Vis. Commun. Image Represent., 2019)

Iterative range-domain weighted filter for structural preserving image smoothing and de-noising. - Lijun Zhao 002; Huihui Bai 001; Anhong Wang; Yao Zhao 001 (Multim. Tools Appl., 2019)

Simultaneous color-depth super-resolution with conditional generative adversarial networks. - Lijun Zhao 002; Huihui Bai 001; Jie Liang 001; Bing Zeng; Anhong Wang; Yao Zhao 001 (Pattern Recognit., 2019)

Local activity-driven structural-preserving filtering for noise removal and image smoothing. - Lijun Zhao 002; Huihui Bai 001; Jie Liang 001; Anhong Wang; Bing Zeng; Yao Zhao 001 (Signal Process., 2019)

Multiple Description Convolutional Neural Networks for Image Compression. - Lijun Zhao 002; Huihui Bai 001; Anhong Wang; Yao Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

HDA Video Transmission Scheme for DASH. - Tao Wen; Wenxia Cai; Anhong Wang; Jie Liang 001; Lijun Zhao 002 (IEEE Access, 2020)

Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation. - Lijun Zhao 002; Jinjing Zhang; Fan Zhang; Anhong Wang; Huihui Bai 001; Yao Zhao 001 (CoRR, 2020)

Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning. - Lijun Zhao 002; Huihui Bai 001; Anhong Wang; Yao Zhao 001 (CoRR, 2020)

Brain tumor segmentation of multi-modality MR images via triple intersecting U-Nets. - Jinjing Zhang; Jianchao Zeng 001; Pinle Qin; Lijun Zhao 002 (Neurocomputing, 2021)

MRANet: Multi-atrous residual attention Network for stereo image super-resolution. - Luyao Ning; Anhong Wang; Lijun Zhao 002; Weimin Xue; Donghan Bu (J. Vis. Commun. Image Represent., 2021)

D2-UTransforIner: Deep Modulated Dual-UTransformer for Multiple Description Image Enhancement. - Congying Cao; Lijun Zhao 002; Jinjing Zhang; Xinlu Wang; Anhong Wang (MIPR, 2022)

SF-SegFormer: Stepped-Fusion Segmentation Transformer for Brain Tissue Image via Inter-Group Correlation and Enhanced Multi-layer Perceptron. - Jinjing Zhang; Lijun Zhao 002; Jianchao Zeng 001; Pinle Qin (MIUA, 2022)

Deep MRI glioma segmentation via multiple guidances and hybrid enhanced-gradient cross-entropy loss. - Jinjing Zhang; Lijun Zhao 002; Jianchao Zeng 001; Pinle Qin; Yanbo Wang; Xiaoqing Yu (Expert Syst. Appl., 2022)

LMDC: Learning a multiple description codec for deep learning-based image compression. - Lijun Zhao 002; Jinjing Zhang; Huihui Bai 001; Anhong Wang; Yao Zhao 001 (Multim. Tools Appl., 2022)

Edge-Guided Interpretable Neural Network for Image Compressive Sensing Reconstruction. - Xinlu Wang; Lijun Zhao 002; Jinjing Zhang; Yufeng Zhang; Anhong Wang (ICIG (3), 2023)

A Joint Model-Driven Unfolding Network for Degraded Low-Quality Color-Depth Images Enhancement. - Lijun Zhao 002; Ke Wang; Jinjing Zhang; Jie Zhao; Anhong Wang (ICIP, 2023)

Explainable Unfolding Network For Joint Edge-Preserving Depth Map Super-Resolution. - Jialong Zhang; Lijun Zhao 002; Jinjing Zhang; Ke Wang; Anhong Wang (ICME, 2023)

WDU-Net: Wavelet-Guided Deep Unfolding Network for Image Compressed Sensing Reconstruction. - Xinlu Wang; Lijun Zhao 002; Jinjing Zhang; Yufeng Zhang; Anhong Wang (PRCV (6), 2023)

Deep Arbitrary-Scale Unfolding Network for Color-Guided Depth Map Super-Resolution. - Jialong Zhang; Lijun Zhao 002; Jinjing Zhang; Bintao Chen; Anhong Wang (PRCV (10), 2023)

Color-Image Guided Depth Map Super-Resolution Based on Iterative Depth Feature Enhancement. - Lijun Zhao 002; Ke Wang; Jinjing Zhang; Jialong Zhang; Anhong Wang (KSII Trans. Internet Inf. Syst., 2023)

Boundary-constrained interpretable image reconstruction network for deep compressive sensing. - Lijun Zhao 002; Xinlu Wang; Jinjing Zhang; Anhong Wang; Huihui Bai 001 (Knowl. Based Syst., 2023)

Learning deep texture-structure decomposition for low-light image restoration and enhancement. - Lijun Zhao 002; Ke Wang; Jinjing Zhang; Anhong Wang; Huihui Bai 001 (Neurocomputing, 2023)

Joint depth map super-resolution method via deep hybrid-cross guidance filter. - Ke Wang; Lijun Zhao 002; Jinjing Zhang; Jialong Zhang; Anhong Wang; Huihui Bai 001 (Pattern Recognit., 2023)

RIRO: From Retinex-Inspired Reconstruction Optimization Model to Deep Low-Light Image Enhancement Unfolding Network. - Lijun Zhao 002; Bintao Chen; Jinjing Zhang; Anhong Wang; Huihui Bai 001 (IEEE Trans. Computational Imaging, 2024)

A Wavelet-Domain Consistency-Constrained Compressive Sensing Framework Based on Memory-Boosted Guidance Filtering. - Xinlu Wang; Lijun Zhao 002; Jinjing Zhang; Anhong Wang; Huihui Bai 001 (IEEE Trans. Instrum. Meas., 2024)

Joint Discontinuity-Aware Depth Map Super-Resolution via Dual-Tasks Driven Unfolding Network. - Lijun Zhao 002; Jialong Zhang; Jinjing Zhang; Huihui Bai 001; Anhong Wang (IEEE Trans. Instrum. Meas., 2024)

DMRO-Fusion: Infrared and Visible Image Fusion Based on Recurrent-Octave Auto-Encoder via Two-Level Modulation. - Jinjing Zhang; Pinle Qin; Jianchao Zeng 001; Lijun Zhao 002 (IEEE Trans. Instrum. Meas., 2025)

Boosting 3D Object Detection With Semantic-Aware Multi-Branch Framework. - Hao Jing; Anhong Wang; Lijun Zhao 002; Yakun Yang; Donghan Bu; Jing Zhang; Yifan Zhang; Junhui Hou (IEEE Trans. Circuits Syst. Video Technol., 2025)

A survey on image compressive sensing: From classical theory to the latest explicable deep learning. - Lijun Zhao 002; Yufeng Zhang; Xinlu Wang; Jinjing Zhang; Huihui Bai 001; Anhong Wang (Pattern Recognit., 2026)