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Shixiong Jing

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2024
[c5]
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  - conf/dasfaa/JingCLW24
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Shixiong Jing, Lingwei Chen, Quan Li, Dinghao Wu:
H²GNN: Graph Neural Networks with Homophilic and Heterophilic Feature Aggregations. DASFAA (6) 2024: 342-352
[c4]
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Shixiong Jing, Lingwei Chen, Quan Li, Dinghao Wu:
DOS-GNN: Dual-Feature Aggregations with Over-Sampling for Class-Imbalanced Fraud Detection On Graphs. IJCNN 2024: 1-8
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  - journals/corr/abs-2401-06802
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Quan Li, Shixiong Jing, Lingwei Chen:
Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inference. CoRR abs/2401.06802 (2024)
2023
[c3]
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Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu:
Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification. ICDM 2023: 1115-1120
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Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu:
Knowledge Distillation on Cross-Modal Adversarial Reprogramming for Data-Limited Attribute Inference. WWW (Companion Volume) 2023: 65-68
2021
[c1]
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  - conf/nas/JingBWTW21
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Shixiong Jing, Qinkun Bao, Pei Wang, Xulong Tang, Dinghao Wu:
Characterizing AI Model Inference Applications Running in the SGX Environment. NAS 2021: 1-4

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