Chumeng Liang

According to our database, Chumeng Liang authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control.

Zherui Huang, Yicheng Liu, Chumeng Liang, Guanjie Zheng

CoRR, January, 2025

Targeted Attack Improves Protection against Unauthorized Diffusion Customization.

Boyang Zheng, Chumeng Liang, Xiaoyu Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Jiajun Fan, Shuaike Shen, Chaoran Cheng, Yuxin Chen, Chumeng Liang, Ge Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models.

Chumeng Liang, Jiaxuan You

CoRR, 2024

Toward effective protection against diffusion-based mimicry through score distillation.

Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion.

Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Understanding and Improving Adversarial Attacks on Latent Diffusion Model.

Boyang Zheng, Chumeng Liang, Xiaoyu Wu, Yan Liu

CoRR, 2023

Mist: Towards Improved Adversarial Examples for Diffusion Models.

Chumeng Liang, Xiaoyu Wu

CoRR, 2023

FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph.

Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 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

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

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

Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the International Conference on Machine Learning, 2023

2022

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