Changhua Meng

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 39

Top Topics

Diffusion Models

Top Venues

Publications

Jiazhi Guan, Yi Zhao, Zhuoer Xu, Changhua Meng, Ke Xu, Youjian Zhao
Adversarial Robust Safeguard for Evading Deep Facial Manipulation. AAAI (2024)
Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang
Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training. LREC/COLING (2024)
Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. KDD (2024)
Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. CoRR (2024)
Zhuoer Xu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang
TroubleLLM: Align to Red Team Expert. CoRR (2024)
Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. ICLR (2024)
Ke Wang, Tianyu Xia, Zhangxuan Gu, Yi Zhao, Shuheng Shen, Changhua Meng, Weiqiang Wang, Ke Xu
E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion. CoRR (2024)
Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang
Mobile User Interface Element Detection Via Adaptively Prompt Tuning. CVPR (2023)
Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang
Backpropagation Path Search On Adversarial Transferability. CoRR (2023)
Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang
Self-supervision meets kernel graph neural models: From architecture to augmentations. ICDM (Workshops) (2023)
Jianping Zhang, Zhuoer Xu, Shiwen Cui, Changhua Meng, Weibin Wu, Michael R. Lyu
On the Robustness of Latent Diffusion Models. CoRR (2023)
Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen
Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs. CoRR (2023)
Jintang Li, Sheng Tian, Ruofan Wu, Liang Zhu, Welong Zhao, Changhua Meng, Liang Chen, Zibin Zheng, Hongzhi Yin
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs. CoRR (2023)
Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang
DiffUTE: Universal Text Editing Diffusion Model. CoRR (2023)
Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Liang Chen, Zibin Zheng, Baokun Wang, Changhua Meng
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. CoRR (2023)
Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. IJCAI (2023)
Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang
Backpropagation Path Search On Adversarial Transferability. ICCV (2023)
Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang
Self-supervision meets kernel graph neural models: From architecture to augmentations. CoRR (2023)
Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang
DiffUTE: Universal Text Editing Diffusion Model. NeurIPS (2023)
Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang
GUARD: Graph Universal Adversarial Defense. CIKM (2023)
Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li
Hierarchical Dynamic Image Harmonization. ACM Multimedia (2023)
Jiafu Wu, Mufeng Yao, Dong Wu, Mingmin Chi, Baokun Wang, Ruofan Wu, Xin Fu, Changhua Meng, Weiqiang Wang
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk. CoRR (2023)
Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang
Mobile User Interface Element Detection Via Adaptively Prompt Tuning. CoRR (2023)
Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. CoRR (2023)
Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. KDD (2023)
Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. AAAI (2023)
Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network. AAAI (2023)
Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning. CoRR (2023)
Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang
GUARD: Graph Universal Adversarial Defense. CoRR (2022)
Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang
A2: Efficient Automated Attacker for Boosting Adversarial Training. CoRR (2022)
Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. CoRR (2022)
ZhenZhe Ying, Zhuoer Xu, Zhifeng Li, Weiqiang Wang, Changhua Meng
MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees. CoRR (2022)
Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang
MaskGAE: Masked Graph Modeling Meets Graph Autoencoders. CoRR (2022)
Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang
A2: Efficient Automated Attacker for Boosting Adversarial Training. NeurIPS (2022)
Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang
DiffusionInst: Diffusion Model for Instance Segmentation. CoRR (2022)
Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li
Hierarchical Dynamic Image Harmonization. CoRR (2022)
Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. CVPR (2022)
Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. CoRR (2022)
Xiang Ni, Xiaolong Xu, Lingjuan Lyu, Changhua Meng, Weiqiang Wang
A Vertical Federated Learning Framework for Graph Convolutional Network. CoRR (2021)