Wenxue Li

Orcid: 0000-0002-1301-4933

Affiliations:
  • Tianjin University, Tianjin, China


According to our database1, Wenxue Li authored at least 20 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
PixelWizard: Towards Efficient High-Fidelity Video Generation at Ultra-Large Spatial Resolution.
CoRR, May, 2026

SAM2-UNet: segment anything 2 makes strong encoder for natural and medical image segmentation.
Vis. Intell., 2026

2025
RationalVLA: A Rational Vision-Language-Action Model with Dual System.
CoRR, June, 2025

Free Meal: Boosting Semi-Supervised Polyp Segmentation by Harvesting Negative Samples.
IEEE Signal Process. Lett., 2025

FSA-Net: Fractal-Driven Synergistic Anatomy-Aware Network for Segmenting White Line of Toldt in Laparoscopic Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

GlassWizard: Harvesting Diffusion Priors for Glass Surface Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Towards Realistic Semi-supervised Medical Image Classification.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

PromptHaze: Prompting Real-world Dehazing via Depth Anything Model.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
HybridVPS: Hybrid-Supervised Video Polyp Segmentation Under Low-Cost Labels.
IEEE Signal Process. Lett., 2024

Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification.
CoRR, 2024

Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Semi- and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Confidence-guided mask learning for semi-supervised medical image segmentation.
Comput. Biol. Medicine, October, 2023

LACINet: A Lesion-Aware Contextual Interaction Network for Polyp Segmentation.
IEEE Trans. Instrum. Meas., 2023

Mammo-SAM: Adapting Foundation Segment Anything Model for Automatic Breast Mass Segmentation in Whole Mammograms.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023


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