Baichen Liu

19 papers A* 2Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
CRISP: Contrastive Residual Injection and Semantic Prompting for Continual Video Instance Segmentation.
IEEE Trans. Image Process.
Baichen Liu, Qi Lyu, Xudong Wang, Jiahua Dong, Lianqing Liu, Zhi Han
2026 J jnl
Lifelong Embodied Navigation Learning.
CoRR
Xudong Wang, Jiahua Dong, Baichen Liu, Qi Lyu, Lianqing Liu, Zhi Han
2026 A* conf
Lifelong Language-Conditioned Robotic Manipulation Learning.
AAAI
Xudong Wang, Zebin Han, Zhiyu Liu, Gan Li, Jiahua Dong, Baichen Liu, Lianqing Liu, Zhi Han
2026 J jnl
Lifelong Language-Conditioned Robotic Manipulation Learning.
CoRR
Xudong Wang, Zebin Han, Zhiyu Liu, Gan Li, Jiahua Dong, Baichen Liu, Lianqing Liu, Zhi Han
2026 A* conf
SeqWalker: Sequential-Horizon Vision-and-Language Navigation with Hierarchical Planning.
AAAI
Zebin Han, Xudong Wang, Baichen Liu, Qi Lyu, Zhenduo Shang, Jiahua Dong, Lianqing Liu, Zhi Han
2026 J jnl
SeqWalker: Sequential-Horizon Vision-and-Language Navigation with Hierarchical Planning.
CoRR
Zebin Han, Xudong Wang, Baichen Liu, Qi Lyu, Zhenduo Shang, Jiahua Dong, Lianqing Liu, Zhi Han
2025 J jnl
CRISP: Contrastive Residual Injection and Semantic Prompting for Continual Video Instance Segmentation.
CoRR
Baichen Liu, Qi Lyu, Xudong Wang, Jiahua Dong, Lianqing Liu, Zhi Han
2025 J jnl
Rope-net: deep convolutional neural network via robust principal component analysis.
Mach. Learn.
Baichen Liu, Zhi Han, Xi'ai Chen, Yanmei Wang, Yandong Tang
2024 J jnl
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
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
2024 — conf
Siamese Visual Tracking with Feature Enhancement Fusion.
ICCAI
Zhixi Wu, Baichen Liu, Shunzhi Zhu
2024 — conf
VATBoost-Net: Integrating Enhanced Feature Perturbation and Detail Enhancement for Medical Image Segmentation.
PRCV (14)
Baichen Liu, Jiaxin Cai, Shunzhi Zhu
2023 J jnl
DILS: depth incremental learning strategy.
Frontiers Neurorobotics
Yanmei Wang, Zhi Han, Siquan Yu, Shaojie Zhang, Baichen Liu, Huijie Fan
2023 J jnl
Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction and Learning.
CoRR
Zhi Han, Baichen Liu, Shao-Bo Lin, Ding-Xuan Zhou
2023 — conf
Pathologic Myopia Classification based on Shuffle-EfficientNet Model.
ICCPR
Baichen Liu, Zhixi Wu, Shunzhi Zhu
2022 J jnl
A novel compact design of convolutional layers with spatial transformation towards lower-rank representation for image classification.
Knowl. Based Syst.
Baichen Liu, Zhi Han, Xiai Chen, Wenming Shao, Huidi Jia, Yanmei Wang, Yandong Tang
2022 — conf
An Analysis of Low-Rank Decomposition Selection for Deep Convolutional Neural Networks.
ICIRA (2)
Baichen Liu, Huidi Jia, Zhi Han, Xiai Chen, Yandong Tang
2022 — conf
Group Sparsity Regularized High Order Tensor for HSIs Super-Resolution.
ICIRA (4)
Xiai Chen, Siyu Guo, Huidi Jia, Baichen Liu, Zhenyu Li, Zhi Han
2022 J jnl
Nonconvex Nonlocal Tucker Decomposition for 3D Medical Image Super-Resolution.
Frontiers Neuroinformatics
Huidi Jia, Xiai Chen, Zhi Han, Baichen Liu, Tianhui Wen, Yandong Tang
2021 J jnl
Low-rank decomposition on transformed feature maps domain for image denoising.
Vis. Comput.
Qiong Luo, Baichen Liu, Yang Zhang, Zhi Han, Yandong Tang