Yuan Gao
Scholar

Yuan Gao

Google Scholar ID: A-0yqLAAAAAJ
University of Science and Technology of China
Graph MiningAnomaly DetectionOut-of-distribution Generalization
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Citations & Impact
All-time
Citations
474
 
H-index
8
 
i10-index
8
 
Publications
14
 
Co-authors
2
list available
Contact
GitHubOpen ↗
Publications
1 items
Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data
2026
Cited
0
Resume (English only)
Academic Achievements
  • Published 'DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector' at ICLR 2025
  • Published work on neuron attributions in multi-modal LLMs at NeurIPS 2024
  • Published research on structural distribution shift in graph anomaly detection in TKDE 2024
  • Three papers accepted at WWW 2024 on graph anomaly detection, invariant graph learning, and graph condensation
  • Oral presentation at NeurIPS 2023 on robustness evaluation of post-hoc GNN explanations
  • Published LightMIRM for trustworthy loan default prediction at ICDE 2023
  • Oral presentation at WWW 2023 on addressing heterophily in graph anomaly detection
  • Oral presentation at WSDM 2023 on alleviating structural distribution shift in graph anomaly detection
  • Published self-supervised rumor detection method in Frontiers of Computer Science (FCS)
  • Served as program committee member or reviewer for top conferences including SIGIR, KDD, NeurIPS, WWW, ICML, AAAI, IJCAI
  • Ranked 10th out of 2490 teams in KDD Cup 2022 Wind Power Forecasting Challenge
Co-authors
2 total
Xiang Wang
Xiang Wang
University of Science and Technology of China
Xiangnan He
Xiangnan He
University of Science and Technology of China