Zhaorui Tan

Orcid: 0000-0001-5054-8275

According to our database1, Zhaorui Tan authored at least 22 papers between 2022 and 2025.

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

Timeline

Legend:

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Bibliography

2025
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation.
IEEE Trans. Neural Networks Learn. Syst., September, 2025

Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization.
CoRR, September, 2025

Saving for the future: Enhancing generalization via partial logic regularization.
CoRR, August, 2025

Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification.
CoRR, August, 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

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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