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We stand with Ukraine

Chu-ran Wang

Orcid: 0000-0002-7699-0894

According to our database¹, Chu-ran Wang authored at least 19 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

AdaTracker: Learning Adaptive In-Context Policy for Cross-Embodiment Active Visual Tracking.

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CoRR, April, 2026

2025

Hierarchical Instruction-aware Embodied Visual Tracking.

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CoRR, May, 2025

Clinical Inspired MRI Lesion Segmentation.

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Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

VLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models.

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Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

UnrealZoo: Enriching Photo-Realistic Virtual Worlds for Embodied AI.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Autoregressive Sequence Modeling for 3D Medical Image Representation.

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Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Enhanced MRI Representation via Cross-series Masking.

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CoRR, 2024

Cross-dimensional Medical Self-supervised Representation Learning Based on a Pseudo-3D Transformation.

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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.

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Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL.

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Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Mammo-SAM: Adapting Foundation Segment Anything Model for Automatic Breast Mass Segmentation in Whole Mammograms.

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Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Learning Domain-Agnostic Representation for Disease Diagnosis.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Domain Invariant Model with Graph Convolutional Network for Mammogram Classification.

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CoRR, 2022

Disentangling Disease-related Representation from Obscure for Disease Prediction.

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Proceedings of the International Conference on Machine Learning, 2022

2021

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification.

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IEEE Trans. Image Process., 2021

DAE-GCN: Identifying Disease-Related Features for Disease Prediction.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data.

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Proceedings of the International Joint Conference on Neural Networks, 2019

DDRM-CapsNet: Capsule Network Based on Deep Dynamic Routing Mechanism for Complex Data.

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Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

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