Low-rank decomposition on transformed feature maps domain for image denoising. - Qiong Luo 003; Baichen Liu; Yang Zhang 073; Zhi Han; Yandong Tang (Vis. Comput., 2021)

Group Sparsity Regularized High Order Tensor for HSIs Super-Resolution. - Xiai Chen; Siyu Guo; Huidi Jia; Baichen Liu; Zhenyu Li; Zhi Han (ICIRA (4), 2022)

An Analysis of Low-Rank Decomposition Selection for Deep Convolutional Neural Networks. - Baichen Liu; Huidi Jia; Zhi Han; Xiai Chen; Yandong Tang (ICIRA (2), 2022)

Nonconvex Nonlocal Tucker Decomposition for 3D Medical Image Super-Resolution. - Huidi Jia; Xiai Chen; Zhi Han; Baichen Liu; Tianhui Wen; Yandong Tang (Frontiers Neuroinformatics, 2022)

A novel compact design of convolutional layers with spatial transformation towards lower-rank representation for image classification. - Baichen Liu; Zhi Han; Xiai Chen; Wenming Shao; Huidi Jia; Yanmei Wang; Yandong Tang (Knowl. Based Syst., 2022)

Pathologic Myopia Classification based on Shuffle-EfficientNet Model. - Baichen Liu; Zhixi Wu; Shunzhi Zhu (ICCPR, 2023)

Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction and Learning. - Zhi Han; Baichen Liu; Shao-Bo Lin; Ding-Xuan Zhou (CoRR, 2023)

DILS: depth incremental learning strategy. - Yanmei Wang; Zhi Han; Siquan Yu; Shaojie Zhang; Baichen Liu; Huijie Fan (Frontiers Neurorobotics, 2023)

Siamese Visual Tracking with Feature Enhancement Fusion. - Zhixi Wu; Baichen Liu; Shunzhi Zhu (ICCAI, 2024)

VATBoost-Net: Integrating Enhanced Feature Perturbation and Detail Enhancement for Medical Image Segmentation. - Baichen Liu; Jiaxin Cai; Shunzhi Zhu (PRCV (14), 2024)

Developing Deep LSTMs With Later Temporal Attention for Predicting COVID-19 Severity, Clinical Outcome, and Antibody Level by Screening Serological Indicators Over Time. - Jiaxin Cai; Yang Li 168; Baichen Liu; Zhixi Wu; Shengjun Zhu; Qiliang Chen; Qing Lei; Hongyan Hou; Zhibin Guo; Hewei Jiang; Shujuan Guo; Feng Wang 061; et al. (IEEE J. Biomed. Health Informatics, 2024)

Rope-net: deep convolutional neural network via robust principal component analysis. - Baichen Liu; Zhi Han; Xi'ai Chen; Yanmei Wang; Yandong Tang (Mach. Learn., 2025)