Liu, Chuang

10 publications

CVPR 2025 CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification Wenlong Yu, Qilong Wang, Chuang Liu, Dong Li, Qinghua Hu

NeurIPS 2025 Dimension-Reduction Attack! Video Generative Models Are Experts on Controllable Image Synthesis Hengyuan Cao, Yutong Feng, Biao Gong, Yijing Tian, Yunhong Lu, Chuang Liu, Bin Wang

AAAI 2025 Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging Chuang Liu, Yichao Cao, YingYing Zhang, Xiu Su, Haogang Zhu

ICML 2025 TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging Chuang Liu, Hongyan Xu, Yichao Cao, Xiu Su, Zhe Qu, Tianfa Li, Shan An, Haogang Zhu

IJCAI 2024 Gradformer: Graph Transformer with Exponential Decay Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu

IJCAI 2024 Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu

IJCAI 2023 Gapformer: Graph Transformer with Graph Pooling for Node Classification Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu

IJCAI 2023 Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao

ECML-PKDD 2022 Masked Graph Auto-Encoder Constrained Graph Pooling Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu

NeurIPS 2022 TGEA 2.0: A Large-Scale Diagnostically Annotated Dataset with Benchmark Tasks for Text Generation of Pretrained Language Models Huibin Ge, Xiaohu Zhao, Chuang Liu, Yulong Zeng, Qun Liu, Deyi Xiong