Meng, Changhua

11 publications

ICLR 2024 A Graph Is Worth 1-Bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen

AAAI 2024 Adversarial Robust Safeguard for Evading Deep Facial Manipulation Jiazhi Guan, Yi Zhao, Zhuoer Xu, Changhua Meng, Ke Xu, Youjian Zhao

ECML-PKDD 2024 GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang

ICCV 2023 Backpropagation Path Search on Adversarial Transferability Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang

NeurIPS 2023 DiffUTE: Universal Text Editing Diffusion Model Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, 行郑, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang

CVPR 2023 Mobile User Interface Element Detection via Adaptively Prompt Tuning Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang

IJCAI 2023 SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen

AAAI 2023 Scaling up Dynamic Graph Representation Learning via Spiking Neural Networks Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng

AAAI 2023 Towards Learning to Discover Money Laundering Sub-Network in Massive Transaction Network Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun

NeurIPS 2022 A2: Efficient Automated Attacker for Boosting Adversarial Training Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang

CVPR 2022 XYLayoutLM: Towards Layout-Aware Multimodal Networks for Visually-Rich Document Understanding Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang