Characterizing AI Model Inference Applications Running in the SGX Environment. - Shixiong Jing; Qinkun Bao; Pei Wang 007; Xulong Tang; Dinghao Wu (NAS, 2021)

Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification. - Quan Li; Lingwei Chen; Shixiong Jing; Dinghao Wu (ICDM, 2023)

Knowledge Distillation on Cross-Modal Adversarial Reprogramming for Data-Limited Attribute Inference. - Quan Li; Lingwei Chen; Shixiong Jing; Dinghao Wu (WWW (Companion Volume), 2023)

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

H2GNN: Graph Neural Networks with Homophilic and Heterophilic Feature Aggregations. - Shixiong Jing; Lingwei Chen; Quan Li; Dinghao Wu (DASFAA (6), 2024)

DOS-GNN: Dual-Feature Aggregations with Over-Sampling for Class-Imbalanced Fraud Detection On Graphs. - Shixiong Jing; Lingwei Chen; Quan Li; Dinghao Wu (IJCNN, 2024)

Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inference. - Quan Li; Shixiong Jing; Lingwei Chen (CoRR, 2024)