Visual tracking using IPCA and sparse representation. - Dongjing Shan; Chao Zhang 001 (Signal Image Video Process., 2015)

Improved ℓ1-tracker using robust PCA and random projection. - Dongjing Shan; Zhang Chao (Mach. Vis. Appl., 2016)

A Novel Encoder-Decoder Model via NS-LSTM Used for Bone-Conducted Speech Enhancement. - Dongjing Shan; Xiongwei Zhang; Chao Zhang 001; Li Li (IEEE Access, 2018)

Prior Fusion and Feature Transformation-Based Principal Component Analysis for Saliency Detection. - Dongjing Shan; Chao Zhang 001 (Int. J. Pattern Recognit. Artif. Intell., 2018)

Visual saliency based on extended manifold ranking and third-order optimization refinement. - Dongjing Shan; Xiongwei Zhang; Chao Zhang 001 (Pattern Recognit. Lett., 2018)

Saliency Detection With a Three-Stage Hierarchical Network. - Dongjing Shan; Xiongwei Zhang; Limin Wang; Tieyong Cao; Chao Zhang 001 (IEEE Intell. Syst., 2021)

An optimization scheme for segmented-memory neural network. - Dongjing Shan; Chao Zhang 001; Yongjian Nian (Neurocomputing, 2021)

Semi-sparse Residual Recurrent Neural Network via dictionary representation for throat microphone quality enhancement. - Dongjing Shan; Desheng Li (Appl. Soft Comput., 2022)

Spontaneous Temporal Grouping Neural Network for Long-Term Memory Modeling. - Dongjing Shan; Xiongwei Zhang; Chao Zhang 001 (IEEE Trans. Cogn. Dev. Syst., 2022)

Image Compressed Sensing Using Auxiliary Information for Efficient Coding. - Bo Zhang 030; Di Xiao 001; Dongjing Shan (DCC, 2023)

DRRNets: Dynamic Recurrent Routing via Low-Rank Regularization in Recurrent Neural Networks. - Dongjing Shan; Yong Luo 002; Xiongwei Zhang; Chao Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Sequential Learning Network With Residual Blocks: Incorporating Temporal Convolutional Information Into Recurrent Neural Networks. - Dongjing Shan; Kun Yao; Xiongwei Zhang (IEEE Trans. Cogn. Dev. Syst., 2024)

SANTM: A Sparse Access Neural Turing Machine with local multi-head self-attention for long-term memorization. - Dongjing Shan; Jing Zhu; Yamei Luo (Appl. Soft Comput., 2025)

DR-CapsNet: deep residual capsule network with dynamic routing for automated identification of hepatocellular carcinoma and cirrhosis in CT images. - Biao Qu; Wangfeng He; Xiaopeng Yao; Dongjing Shan; Jian Shu (Biomed. Signal Process. Control., 2025)

Enhancing bone-conducted speech through a pre-trained transformer with low-rank driven sparsity bootstrapping. - Dongjing Shan; Mengchu Yang; Jiashun Mao; Yamei Luo; Qi Han (Expert Syst. Appl., 2025)

DoseNet: Dose-adaptive prediction of the parotid glands deformation for radiotherapy planning. - Bohan Yang 008; Yong Luo; Bo Du; Dongjing Shan; Chuan Cheng; Gang Liu; Jun Zhang; Jingnan Liu (Image Vis. Comput., 2025)

Privacy-preserving distributed learning: collaborative training on principal components and orthogonal projections of datapoints. - Lu Huang; Beijia Zou; Lisha Zhong; Dongjing Shan (Int. J. Data Sci. Anal., 2025)

Comparison study of dominant molecular sequence representation based on diffusion model. - Yongrui Cui; Dongjing Shan; Qiheng Lu; Beijia Zou; Huali Zhang; Jin Li; Jiashun Mao (J. Comput. Aided Mol. Des., 2025)