CBLab: Scalable Traffic Simulation with Enriched Data Supporting. - Chumeng Liang; Zherui Huang; Yicheng Liu; Zhanyu Liu; Guanjie Zheng; Hanyuan Shi; Yuhao Du; Fuliang Li; Zhenhui Li (CoRR, 2022)

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. - Chumeng Liang; Xiaoyu Wu; Yang Hua 001; Jiaru Zhang; Yiming Xue; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (ICML, 2023)

CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation. - Chumeng Liang; Zherui Huang; Yicheng Liu; Zhanyu Liu; Guanjie Zheng; Hanyuan Shi; Kan Wu; Yuhao Du; Fuliang Li; Zhenhui Jessie Li (KDD, 2023)

FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph. - Zhanyu Liu; Chumeng Liang; Guanjie Zheng; Hua Wei 001 (ECML/PKDD (7), 2023)

Mist: Towards Improved Adversarial Examples for Diffusion Models. - Chumeng Liang; Xiaoyu Wu (CoRR, 2023)

Understanding and Improving Adversarial Attacks on Latent Diffusion Model. - Boyang Zheng; Chumeng Liang; Xiaoyu Wu; Yan Liu (CoRR, 2023)

CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. - Xiaoyu Wu; Yang Hua 001; Chumeng Liang; Jiaru Zhang; Hao Wang 022; Tao Song 003; Haibing Guan (CVPR, 2024)

Toward effective protection against diffusion-based mimicry through score distillation. - Haotian Xue 002; Chumeng Liang; Xiaoyu Wu; Yongxin Chen (ICLR, 2024)

Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models. - Chumeng Liang; Jiaxuan You (CoRR, 2024)

Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization. - Jiajun Fan; Shuaike Shen; Chaoran Cheng; Yuxin Chen; Chumeng Liang; Ge Liu (ICLR, 2025)

Targeted Attack Improves Protection against Unauthorized Diffusion Customization. - Boyang Zheng; Chumeng Liang; Xiaoyu Wu (ICLR, 2025)

AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control. - Zherui Huang; Yicheng Liu; Chumeng Liang; Guanjie Zheng (CoRR, 2025)