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Journal Articles
- 2024
[j5]Jiaxin Cai
, Yang Li, Baichen Liu, Zhixi Wu, Shengjun Zhu, Qiliang Chen, Qing Lei, Hongyan Hou, Zhibin Guo, Hewei Jiang, Shujuan Guo, Feng Wang, Shengjing Huang, Shunzhi Zhu, Xionglin Fan, Sheng-ce Tao:
Developing Deep LSTMs With Later Temporal Attention for Predicting COVID-19 Severity, Clinical Outcome, and Antibody Level by Screening Serological Indicators Over Time. IEEE J. Biomed. Health Informatics 28(7): 4204-4215 (2024)- 2023
- [j4]Yanmei Wang, Zhi Han, Siquan Yu, Shaojie Zhang, Baichen Liu, Huijie Fan:
DILS: depth incremental learning strategy. Frontiers Neurorobotics 17 (2023) - 2022
- [j3]Huidi Jia, Xiai Chen, Zhi Han, Baichen Liu, Tianhui Wen, Yandong Tang:
Nonconvex Nonlocal Tucker Decomposition for 3D Medical Image Super-Resolution. Frontiers Neuroinformatics 16: 880301 (2022) - [j2]Baichen Liu, Zhi Han, Xiai Chen, Wenming Shao, Huidi Jia, Yanmei Wang, Yandong Tang:
A novel compact design of convolutional layers with spatial transformation towards lower-rank representation for image classification. Knowl. Based Syst. 255: 109723 (2022) - 2021
- [j1]Qiong Luo, Baichen Liu, Yang Zhang, Zhi Han, Yandong Tang:
Low-rank decomposition on transformed feature maps domain for image denoising. Vis. Comput. 37(7): 1899-1915 (2021)
Conference and Workshop Papers
- 2024
- [c5]Zhixi Wu, Baichen Liu, Shunzhi Zhu:
Siamese Visual Tracking with Feature Enhancement Fusion. ICCAI 2024: 289-294 - [c4]Baichen Liu, Jiaxin Cai, Shunzhi Zhu:
VATBoost-Net: Integrating Enhanced Feature Perturbation and Detail Enhancement for Medical Image Segmentation. PRCV (14) 2024: 446-460 - 2023
- [c3]Baichen Liu, Zhixi Wu, Shunzhi Zhu:
Pathologic Myopia Classification based on Shuffle-EfficientNet Model. ICCPR 2023: 331-336 - 2022
- [c2]Xiai Chen, Siyu Guo, Huidi Jia, Baichen Liu, Zhenyu Li, Zhi Han:
Group Sparsity Regularized High Order Tensor for HSIs Super-Resolution. ICIRA (4) 2022: 125-137 - [c1]Baichen Liu, Huidi Jia, Zhi Han, Xiai Chen, Yandong Tang:
An Analysis of Low-Rank Decomposition Selection for Deep Convolutional Neural Networks. ICIRA (2) 2022: 480-490
Informal and Other Publications
- 2023
- [i2]Dongwei Wang, Zhi Han, Yanmei Wang, Xiai Chen, Baichen Liu, Yandong Tang:
Review helps learn better: Temporal Supervised Knowledge Distillation. CoRR abs/2307.00811 (2023) - [i1]Zhi Han, Baichen Liu, Shao-Bo Lin, Ding-Xuan Zhou:
Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction and Learning. CoRR abs/2307.16203 (2023)
Coauthor Index
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