Author

Changhua Meng

Observed name: Meng, Changhua

Institution: Ant Group (China)

Observed institutions: Sun Yat-sen University, Ant Group (China)

ORCID: 0000-0001-8992-9833

Observed ORCID: 0000-0001-8992-9833

OpenAlex ID: A5005372125

What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders

2023 · Jintang Li, Ruofan Wu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 120

PDF

XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding

2022 · Zhangxuan Gu, Changhua Meng, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 88

PDF

SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs

2023 · Sheng Tian, Jihai Dong, et al. · International Joint Conference on Artificial Intelligence · 49

PDF

Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective

2024 · Yunfei Liu, Jintang Li, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 42

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

2023 · Jintang Li, Zhouxin Yu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 40

PDF

A Vertical Federated Learning Framework for Graph Convolutional Network

2021 · Ni, Xiang, Xu, Xiaolong, et al. · arXiv (Cornell University) · 28

PDF

Hierarchical Dynamic Image Harmonization

2023 · Haoxing Chen, Zhangxuan Gu, et al. · ACM International Conference on Multimedia (ACM MM) · 26

PDF

Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network

2023 · Ziwei Chai, Yang Yang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 26

PDF

DiffUTE: Universal Text Editing Diffusion Model

2023 · Haoxing Chen, Zhuoer Xu, et al. · neural information processing systems · 16

PDF

GUARD: Graph Universal Adversarial Defense

2023 · Jintang Li, Jie Liao, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 14

PDF

On the Robustness of Latent Diffusion Models

2023 · Zhang, Jianping, Xu, Zhuoer, et al. · arXiv (Cornell University) · 11

PDF

PC 2 : Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval

2024 · Yue Duan, Zhangxuan Gu, et al. · ACM International Conference on Multimedia (ACM MM) · 10

PDF

Adversarial Robust Safeguard for Evading Deep Facial Manipulation

2024 · Jiazhi Guan, Yi Zhao, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 8

PDF

A2: Efficient Automated Attacker for Boosting Adversarial Training

2022 · Zhuoer Xu, Guanghui Zhu, et al. · neural information processing systems · 8

PDF

Backpropagation Path Search On Adversarial Transferability

2023 · Zhuoer Xu, Zhangxuan Gu, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 6

PDF

Mobile User Interface Element Detection Via Adaptively Prompt Tuning

2023 · Zhangxuan Gu, Zhuoer Xu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 6

PDF

A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks

2023 · Li, Jintang, Zhang, Huizhe, et al. · arXiv (Cornell University) · 5

PDF

MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees

2022 · Ying, ZhenZhe, Xu, Zhuoer, et al. · arXiv (Cornell University) · 5

PDF

Gumbel Reranking: Differentiable End-to-End Reranker Optimization

2025 · Siyuan Huang, Zhiyuan Ma, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 4

PDF

GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs

2024 · Sheng Tian, Xintan Zeng, et al. · Lecture notes in computer science · 4