Zhaorui Tan

Orcid: 0000-0001-5054-8275

According to our database1, Zhaorui Tan authored at least 19 papers between 2022 and 2025.

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

Timeline

Legend:

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Links

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Bibliography

2025
Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning.
CoRR, July, 2025

Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets.
Neural Networks, 2025

Covariance-Based Space Regularization for Few-Shot Class Incremental Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Disentangling Tabular Data Towards Better One-Class Anomaly Detection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Personalize to generalize: Towards a universal medical multi-modality generalization through personalization.
CoRR, 2024

CathAction: A Benchmark for Endovascular Intervention Understanding.
CoRR, 2024

MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment.
CoRR, 2024

Revisiting Mutual Information Maximization for Generalized Category Discovery.
CoRR, 2024

SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation.
CoRR, 2024

Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets.
CoRR, 2024

Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking Multi-Domain Generalization with A General Learning Objective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Semantic-Aware Data Augmentation for Text-to-Image Synthesis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation.
Pattern Recognit., December, 2023

PAG: Protecting Artworks from Personalizing Image Generative Models.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Towards Better Text-Image Consistency in Text-to-Image Generation.
CoRR, 2022


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