Wu, Dinghao

11 publications

ACML 2024 Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation Shixiong Jing, Lingwei Chen, Dinghao Wu

ICML 2024 Graph Adversarial Diffusion Convolution Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu

NeurIPS 2023 A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, Dinghao Wu

ICML 2023 FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu

ICML 2023 Graph Contrastive Backdoor Attacks Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu

AAAI 2022 ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu

ICMLW 2022 Enhancing Multi-Hop Connectivity for Graph Convolutional Networks Songtao Liu, Shixiong Jing, Tong Zhao, Zengfeng Huang, Dinghao Wu

NeurIPSW 2022 How Powerful Is Implicit Denoising in Graph Neural Networks Songtao Liu, Zhitao Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu

ICML 2022 Local Augmentation for Graph Neural Networks Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu

ECML-PKDD 2020 Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections Lingwei Chen, Xiaoting Li, Dinghao Wu

AAAI 2019 DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing Xiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu