Shijie Lian
According to our database1,
Shijie Lian
authored at least 9 papers
between 2022 and 2025.
Collaborative distances:
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Bibliography
2025
MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification.
CoRR, July, 2025
UWSAM: Segment Anything Model Guided Underwater Instance Segmentation and A Large-scale Benchmark Dataset.
CoRR, May, 2025
TUGS: Physics-based Compact Representation of Underwater Scenes by Tensorized Gaussian.
CoRR, May, 2025
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM.
CoRR, March, 2025
TMANet: Triple Multi-Scale Attention based Network with Boundary Association Loss for Superpixel Segmentation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment.
CoRR, 2024
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
DSMISR: Differential Siamese Multi-scale Attention Network for Iris Image Super Resolution.
Proceedings of the IEEE Smartworld, 2022