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researcher

Hao Wu

4 papers hereh-index 392 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CL1
same name
  • Hao Wu — 23 papers, h 16
  • Hao Wu — 21 papers, h 20
  • Hao Wu — 13 papers, h 5
  • Hao Wu — 12 papers, h 5
  • Hao Wu — 11 papers, h 11
  • Hao Wu — 11 papers, h 22

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedGLADformer: A Mixed Perspective for Graph-level Anomaly Detection

2 citations · 3 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2026

Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE

Fan Xu, Wei Gong, Hao Wu +6

Wildfires, as an integral component of the Earth system, are governed by a complex interplay of atmospheric, oceanic, and terrestrial processes spanning a vast range of spatiotempo…

cs.LG2024★ 2 cited

GLADformer: A Mixed Perspective for Graph-level Anomaly Detection

Fan Xu, Nan Wang, Hao Wu +7

Graph-Level Anomaly Detection (GLAD) aims to distinguish anomalous graphs within a graph dataset. However, current methods are constrained by their receptive fields, struggling to…

cs.CL2024★ 1 cited

SLFNet: Generating Semantic Logic Forms from Natural Language Using Semantic Probability Graphs

Hao Wu, Fan Xu

Building natural language interfaces typically uses a semantic parser to parse the user's natural language and convert it into structured \textbf{S}emantic \textbf{L}ogic \textbf{F…

cs.LG2023

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum

Fan Xu, Nan Wang, Hao Wu +3

Graph-based fraud detection (GFD) can be regarded as a challenging semi-supervised node binary classification task. In recent years, Graph Neural Networks (GNN) have been widely ap…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.