Xiangyu Dong

Orcid: 0009-0009-6312-8160

Affiliations:
  • Chinese University of Hong Kong, Hong Kong


According to our database1, Xiangyu Dong authored at least 14 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection.
CoRR, May, 2025

Towards More Accurate Full-Atom Antibody Co-Design.
CoRR, February, 2025

Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator.
Proceedings of the ACM on Web Conference 2025, 2025

SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection.
Proceedings of the ACM on Web Conference 2025, 2025

SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Learning-Based Attribute-Augmented Proximity Matrix Factorization for Attributed Network Embedding.
IEEE Trans. Knowl. Data Eng., November, 2024

SmoothGNN: Smoothing-based GNN for Unsupervised Node Anomaly Detection.
CoRR, 2024

KPG: Key Propagation Graph Generator for Rumor Detection based on Reinforcement Learning.
CoRR, 2024

Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2021
Logic-Consistency Text Generation from Semantic Parses.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL.
CoRR, 2020

MedDialog: A Large-scale Medical Dialogue Dataset.
CoRR, 2020

Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

MedDialog: Large-scale Medical Dialogue Datasets.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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