publications

2026

2025

1. Preprint

   Noise Projection: Closing the Prompt-Agnostic Gap Behind Text-to-Image Misalignment in Diffusion Models

   Yunze Tong, Didi Zhu, Zijing Hu, and 2 more authors

   2025

   Bib

   @misc{tong2025noiseprojectionclosingpromptagnostic,
     title = {Noise Projection: Closing the Prompt-Agnostic Gap Behind Text-to-Image Misalignment in Diffusion Models},
     author = {Tong, Yunze and Zhu, Didi and Hu, Zijing and Yang, Jinluan and Zhao, Ziyu},
     year = {2025},
     eprint = {2510.14526},
     archiveprefix = {arXiv},
     primaryclass = {cs.CV},
   }

2. ICLR

   Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation

   Zijing Hu, Yunze Tong, Fengda Zhang, and 3 more authors

   2025

   Bib

   @misc{hu2025asynchronousdenoisingdiffusionmodels,
     title = {Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation},
     author = {Hu, Zijing and Tong, Yunze and Zhang, Fengda and Yuan, Junkun and Xiao, Jun and Kuang, Kun},
     year = {2025},
     eprint = {2510.04504},
     archiveprefix = {arXiv},
     primaryclass = {cs.CV},
   }

3. ICCV

   Decoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation

   Yunze Tong, Fengda Zhang, Didi Zhu, and 2 more authors

   In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025

   Bib Code

   @inproceedings{tong2025decoding,
     title = {Decoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation},
     author = {Tong, Yunze and Zhang, Fengda and Zhu, Didi and Xiao, Jun and Kuang, Kun},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
     year = {2025},
   }

4. ICML

   Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data

   Yunze Tong, Fengda Zhang, Zihao Tang, and 5 more authors

   In Proceedings of the 42nd International Conference on Machine Learning, 2025

   Bib Code

   @inproceedings{tong25latent,
     title = {Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data},
     author = {Tong, Yunze and Zhang, Fengda and Tang, Zihao and Gao, Kaifeng and Huang, Kai and Lyu, Pengfei and Xiao, Jun and Kuang, Kun},
     booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
     year = {2025},
   }

2024

1. ICML

   Explain temporal black-box models via functional decomposition

   Linxiao Yang, Yunze Tong, Xinyue Gu, and 1 more author

   In Forty-first International Conference on Machine Learning, 2024

   Bib

   @inproceedings{yang2024explain,
     title = {Explain temporal black-box models via functional decomposition},
     author = {Yang, Linxiao and Tong, Yunze and Gu, Xinyue and Sun, Liang},
     booktitle = {Forty-first International Conference on Machine Learning},
     year = {2024}
   }

2023

1. KDD

   Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization

   Yunze Tong, Junkun Yuan, Min Zhang, and 4 more authors

   In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

   Bib Code

   @inproceedings{10.1145/3580305.3599481,
     author = {Tong, Yunze and Yuan, Junkun and Zhang, Min and Zhu, Didi and Zhang, Keli and Wu, Fei and Kuang, Kun},
     title = {Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization},
     year = {2023},
     isbn = {9798400701030},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     booktitle = {Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
     pages = {2189-2200},
     numpages = {12},
     keywords = {contrastive learning, domain generalization, heterogeneity, invariant learning},
     location = {Long Beach, CA, USA},
     series = {KDD '23},
   }