Baichen Liu

According to our database, Baichen Liu authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Lifelong Embodied Navigation Learning.

Xudong Wang, Jiahua Dong, Baichen Liu, Qi Lyu, Lianqing Liu, Zhi Han

CoRR, March, 2026

CRISP: Contrastive Residual Injection and Semantic Prompting for Continual Video Instance Segmentation.

Baichen Liu, Qi Lyu, Xudong Wang, Jiahua Dong, Lianqing Liu, Zhi Han

IEEE Trans. Image Process., 2026

Lifelong Language-Conditioned Robotic Manipulation Learning.

Xudong Wang, Zebin Han, Zhiyu Liu, Gan Li, Jiahua Dong, Baichen Liu, Lianqing Liu, Zhi Han

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SeqWalker: Sequential-Horizon Vision-and-Language Navigation with Hierarchical Planning.

Zebin Han, Xudong Wang, Baichen Liu, Qi Lyu, Zhenduo Shang, Jiahua Dong, Lianqing Liu, Zhi Han

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rope-net: deep convolutional neural network via robust principal component analysis.

Baichen Liu, Zhi Han, Xi'ai Chen, Yanmei Wang, Yandong Tang

Mach. Learn., July, 2025

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, 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

IEEE J. Biomed. Health Informatics, July, 2024

VATBoost-Net: Integrating Enhanced Feature Perturbation and Detail Enhancement for Medical Image Segmentation.

Baichen Liu, Jiaxin Cai, Shunzhi Zhu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Siamese Visual Tracking with Feature Enhancement Fusion.

Zhixi Wu, Baichen Liu, Shunzhi Zhu

Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence, 2024

2023

DILS: depth incremental learning strategy.

Yanmei Wang, Zhi Han, Siquan Yu, Shaojie Zhang, Baichen Liu, Huijie Fan

Frontiers Neurorobotics, June, 2023

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

Zhi Han, Baichen Liu, Shao-Bo Lin, Ding-Xuan Zhou

CoRR, 2023

Pathologic Myopia Classification based on Shuffle-EfficientNet Model.

Baichen Liu, Zhixi Wu, Shunzhi Zhu

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.

Baichen Liu, Zhi Han, Xiai Chen, Wenming Shao, Huidi Jia, Yanmei Wang, Yandong Tang

Knowl. Based Syst., 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

An Analysis of Low-Rank Decomposition Selection for Deep Convolutional Neural Networks.

Baichen Liu, Huidi Jia, Zhi Han, Xiai Chen, Yandong Tang

Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

Group Sparsity Regularized High Order Tensor for HSIs Super-Resolution.

Xiai Chen, Siyu Guo, Huidi Jia, Baichen Liu, Zhenyu Li, Zhi Han

Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

2021

Low-rank decomposition on transformed feature maps domain for image denoising.

Qiong Luo, Baichen Liu, Yang Zhang, Zhi Han, Yandong Tang

Vis. Comput., 2021