Baichen Liu

Orcid: 0009-0002-5875-6778

According to our database1, Baichen Liu authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
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, July, 2024

2023
DILS: depth incremental learning strategy.
Frontiers Neurorobotics, June, 2023

Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction and Learning.
CoRR, 2023

Review helps learn better: Temporal Supervised Knowledge Distillation.
CoRR, 2023

Pathologic Myopia Classification based on Shuffle-EfficientNet Model.
Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

2022
A novel compact design of convolutional layers with spatial transformation towards lower-rank representation for image classification.
Knowl. Based Syst., 2022

Nonconvex Nonlocal Tucker Decomposition for 3D Medical Image Super-Resolution.
Frontiers Neuroinformatics, 2022

An Analysis of Low-Rank Decomposition Selection for Deep Convolutional Neural Networks.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

Group Sparsity Regularized High Order Tensor for HSIs Super-Resolution.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

2021
Low-rank decomposition on transformed feature maps domain for image denoising.
Vis. Comput., 2021


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