publications

2025

1. EMNLP Main

   Evaluating LLM-Generated Diagrams as Graphs

   Chumeng Liang and Jiaxuan You

   In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

   PDF Code
2. ICLR Spotlight

   Targeted Attack Improves Protection against Unauthorized Diffusion Customization

   Boyang Zheng^*, Chumeng Liang^*, and Xiaoyu Wu

   In The Thirteenth International Conference on Learning Representations, 2025

   Bib PDF Code

   @inproceedings{zheng2025targeted,
     tag = {Spotlight},
     title = {Targeted Attack Improves Protection against Unauthorized Diffusion Customization},
     author = {Zheng, Boyang and Liang, Chumeng and Wu, Xiaoyu},
     year = {2025},
     booktitle = {The Thirteenth International Conference on Learning Representations},
   }

3. ICLR

   Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization

   Jiajun Fan, Shuaike Shen, Chaoran Cheng, and 3 more authors

   In The Thirteenth International Conference on Learning Representations, 2025

   Bib

   @inproceedings{fan2025online,
     title = {Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization},
     author = {Fan, Jiajun and Shen, Shuaike and Cheng, Chaoran and Chen, Yuxin and Liang, Chumeng and Liu, Ge},
     year = {2025},
     booktitle = {The Thirteenth International Conference on Learning Representations}
   }

2024

1. CVPR

   Cgi-dm: Digital copyright authentication for diffusion models via contrasting gradient inversion

   Xiaoyu Wu, Yang Hua, Chumeng Liang, and 4 more authors

   In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

   Bib PDF Code

   @inproceedings{wu2024cgi,
     title = {Cgi-dm: Digital copyright authentication for diffusion models via contrasting gradient inversion},
     author = {Wu, Xiaoyu and Hua, Yang and Liang, Chumeng and Zhang, Jiaru and Wang, Hao and Song, Tao and Guan, Haibing},
     booktitle = {2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     pages = {10812--10821},
     year = {2024},
     organization = {IEEE Computer Society},
   }

2. ICLR

   Toward effective protection against diffusion-based mimicry through score distillation

   Haotian Xue, Chumeng Liang, Xiaoyu Wu, and 1 more author

   In The Twelfth International Conference on Learning Representations, 2024

   Bib PDF Code

   @inproceedings{xue2023toward,
     title = {Toward effective protection against diffusion-based mimicry through score distillation},
     author = {Xue, Haotian and Liang, Chumeng and Wu, Xiaoyu and Chen, Yongxin},
     booktitle = {The Twelfth International Conference on Learning Representations},
     year = {2024}
   }

2023

1. ICML Oral

   Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples

   Chumeng Liang^*, Xiaoyu Wu^*, Yang Hua, and 6 more authors

   In Proceedings of the 40th International Conference on Machine Learning, 2023

   Bib PDF Code

   @inproceedings{pmlr-v202-liang23g,
     tag = {Oral},
     title = {Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples},
     author = {Liang, Chumeng and Wu, Xiaoyu and Hua, Yang and Zhang, Jiaru and Xue, Yiming and Song, Tao and Xue, Zhengui and Ma, Ruhui and Guan, Haibing},
     booktitle = {Proceedings of the 40th International Conference on Machine Learning},
     pages = {20763--20786},
     year = {2023}
   }

2. KDD

   CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation

   Chumeng Liang, Zherui Huang, Yicheng Liu, and 7 more authors

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

   Bib PDF Code

   @inproceedings{liang2023cblab,
     title = {CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation},
     author = {Liang, Chumeng and Huang, Zherui and Liu, Yicheng and Liu, Zhanyu and Zheng, Guanjie and Shi, Hanyuan and Wu, Kan and Du, Yuhao and Li, Fuliang and Li, Zhenhui Jessie},
     booktitle = {Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
     pages = {4449--4460},
     year = {2023}
   }

3. ECML-PKDD

   FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph

   Zhanyu Liu, Chumeng Liang, Guanjie Zheng, and 1 more author

   arXiv preprint arXiv:2306.10945, 2023

   Bib PDF Code

   @article{liu2023fdti,
     title = {FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph},
     author = {Liu, Zhanyu and Liang, Chumeng and Zheng, Guanjie and Wei, Hua},
     journal = {arXiv preprint arXiv:2306.10945},
     year = {2023}
   }

4. Preprint

   Mist: Towards Improved Adversarial Examples for Diffusion Models

   Chumeng Liang^* and Xiaoyu Wu^*

   arXiv preprint arXiv:2305.12683, 2023

   Bib PDF

   @article{liang2023mist,
     title = {Mist: Towards Improved Adversarial Examples for Diffusion Models},
     author = {Liang, Chumeng and Wu, Xiaoyu},
     journal = {arXiv preprint arXiv:2305.12683},
     year = {2023}
   }