Chumeng Liang

20 papers A* 7Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control.
CoRR
Zherui Huang, Yicheng Liu, Chumeng Liang, Guanjie Zheng
2025 J jnl
Debugging Tabular Log as Dynamic Graphs.
CoRR
Chumeng Liang, Zhanyang Jin, Zahaib Akhtar, Mona Pereira, Haofei Yu, Jiaxuan You
2025 J jnl
DiagramEval: Evaluating LLM-Generated Diagrams via Graphs.
CoRR
Chumeng Liang, Jiaxuan You
2025 A* conf
Evaluating LLM-Generated Diagrams as Graphs.
EMNLP
Chumeng Liang, Jiaxuan You
2025 A* conf
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization.
ICLR
Jiajun Fan, Shuaike Shen, Chaoran Cheng, Yuxin Chen, Chumeng Liang, Ge Liu
2025 J jnl
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization.
CoRR
Jiajun Fan, Shuaike Shen, Chaoran Cheng, Yuxin Chen, Chumeng Liang, Ge Liu
2025 A* conf
Targeted Attack Improves Protection against Unauthorized Diffusion Customization.
ICLR
Boyang Zheng, Chumeng Liang, Xiaoyu Wu
2024 A* conf
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion.
CVPR
Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan
2024 J jnl
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion.
CoRR
Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan
2024 J jnl
Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models.
CoRR
Chumeng Liang, Jiaxuan You
2024 A* conf
Toward effective protection against diffusion-based mimicry through score distillation.
ICLR
Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen
2023 A* conf
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples.
ICML
Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
2023 J jnl
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples.
CoRR
Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
2023 A* conf
CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation.
KDD
Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Kan Wu, Yuhao Du, Fuliang Li, Zhenhui Jessie Li
2023 — conf
FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph.
ECML/PKDD (7)
Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei
2023 J jnl
FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph.
CoRR
Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei
2023 J jnl
Mist: Towards Improved Adversarial Examples for Diffusion Models.
CoRR
Chumeng Liang, Xiaoyu Wu
2023 J jnl
Toward effective protection against diffusion based mimicry through score distillation.
CoRR
Haotian Xue, Chumeng Liang, Xiaoyu Wu, Yongxin Chen
2023 J jnl
Understanding and Improving Adversarial Attacks on Latent Diffusion Model.
CoRR
Boyang Zheng, Chumeng Liang, Xiaoyu Wu, Yan Liu
2022 J jnl
CBLab: Scalable Traffic Simulation with Enriched Data Supporting.
CoRR
Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Yuhao Du, Fuliang Li, Zhenhui Li