% Key papers for Cross-domain text and graph transfer (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2017_learning_36268,
  title = {{Learning to Discover Cross-Domain Relations with Generative Adversarial Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/496},
}

@inproceedings{aaai2019_deeply_99680,
  title = {{Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3773},
}

@inproceedings{aaai2018_hierarchical_106013,
  title = {{Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12055},
}

@inproceedings{aaai2021_embracing_511,
  title = {{Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00557-embracing-domain-differences-in-fake-news-cross-domain-fake-news-detection-using-multi-modal-data/},
}

@inproceedings{aaai2021_crossner_343,
  title = {{CrossNER: Evaluating Cross-Domain Named Entity Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/13452-crossner-evaluating-cross-domain-named-entity-recognition/},
}

@inproceedings{aaai2019_interactive_101809,
  title = {{Interactive Attention Transfer Network for Cross-Domain Sentiment Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4524},
}

@inproceedings{neurips2018_extracting_57118,
  title = {{Extracting Relationships by Multi-Domain Matching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11656},
}

@inproceedings{cvpr2020_probability_16068,
  title = {{Probability Weighted Compact Feature for Domain Adaptive Retrieval}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_exploring_18800,
  title = {{Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2018_deep_12959,
  title = {{Deep Cross-Media Knowledge Transfer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Huang_Deep_Cross-Media_Knowledge_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_structure_16293,
  title = {{Structure Preserving Generative Cross-Domain Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2021_leveraging_62744,
  title = {{Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28169},
}

@inproceedings{aaai2024_graph_6154,
  title = {{Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28723},
}

@inproceedings{aaai2020_go_103151,
  title = {{Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6461},
}

@inproceedings{aaai2023_unsupervised_4911,
  title = {{Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26584},
}

@inproceedings{aaai2021_an_120,
  title = {{An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/14630-an-adaptive-hybrid-framework-for-cross-domain-aspect-based-sentiment-analysis/},
}

@inproceedings{aaai2020_dynamic_103080,
  title = {{Dynamic Knowledge Routing Network for Target-Guided Open-Domain Conversation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6390},
}

@inproceedings{aaai2023_correspondence_3348,
  title = {{Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26215},
}

@inproceedings{cvpr2024_pros_24515,
  title = {{ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30947},
}

@inproceedings{aaai2023_remit_4463,
  title = {{REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26181},
}

@inproceedings{aaai2025_disco_8753,
  title = {{DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33312},
}

@inproceedings{aaai2024_unsupervised_7715,
  title = {{Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28083},
}

@inproceedings{aaai2024_dida_5681,
  title = {{DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28150},
}

@inproceedings{aaai2024_d3_5546,
  title = {{D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28699},
}

@inproceedings{aaai2024_multi_6690,
  title = {{Multi-Domain Recommendation to Attract Users via Domain Preference Modeling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28702},
}

@inproceedings{aaai2024_tacit_7467,
  title = {{TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29866},
}

@inproceedings{neurips2024_samba_72832,
  title = {{Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94567},
}

@inproceedings{aaai2025_graph_9369,
  title = {{Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32037},
}

@inproceedings{neurips2024_federated_72366,
  title = {{Federated Graph Learning for Cross-Domain Recommendation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94985},
}

@inproceedings{aaai2024_three_7562,
  title = {{Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29785},
}

@inproceedings{aaai2024_uncovering_7681,
  title = {{Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29786},
}

@inproceedings{aaai2025_crossnews_8363,
  title = {{CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34659},
}

@inproceedings{aaai2026_from_106201,
  title = {{From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38508},
}

@inproceedings{aaai2025_enhancing_8964,
  title = {{Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33322},
}

@inproceedings{iclr2024_towards_33635,
  title = {{Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19440},
}

@inproceedings{neurips2024_semantic_74645,
  title = {{Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/92948},
}

@inproceedings{neurips2025_generalized_79939,
  title = {{Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=uUBQ96zs48},
}

@inproceedings{icml2024_cross_44603,
  title = {{Cross-domain Open-world Discovery}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33849},
}