I work on generative models, specifically, 1) extending the power of LLMs to relational data and 2) scaling generative models on protein structures. I am fortunate to work with Prof. Jiaxuan You and Prof. Ge Liu.
Beyond the academia, I am a practitioner of AI copyright. I lead a group that develops softwares and provides technical services for AI copyright lawsuits as volunteers. E-mail us if you are interested!
One paper has been accepted by ICLR2025 as Spotlight!
Dec 15, 2023
Mist-v2 has released! Compared to Mist, Mist-v2 enjoys far more powerful protection performance against LoRA. We update its detailed features in the Homepage. We are also going to announce it in X. Looking forward to it!
@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},}
2023
ICMLOral
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
@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}}
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
@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}}
