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researcher

Kai Wu

16 papers hereh-index 221.4k citations75 works total

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

author position
  • first author3
  • middle author10
  • last author1

Across the 14 of 16 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.NE3
  • cs.SI3
  • cs.AI1
  • cs.CL1
  • cs.CR1
same name
  • Kai Wu — 19 papers, h 30
  • Kai Wu — 14 papers, h 15
  • Kai Wu — 13 papers, h 18
  • Kai Wu — 7 papers, h 1
  • Kai Wu — 7 papers, h 5
  • Kai Wu — 6 papers, h 2

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
20202025
most citedB2Opt: Learning to Optimize Black-box Optimization with Little Budget

3 citations · 7 across the 16 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.SI2024

Silencer: Robust Community Detection by Silencing of Noisy Pixels

Kai Wu, Ziang Xie, Jing Liu

Real-world networks carry all kinds of noise, resulting in numerous challenges for community detection. Further improving the performance and robustness of community detection has…

cs.LG2024

AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks

Shibing Mo, Kai Wu, Qixuan Gao +2

In real-world applications, spectral Graph Neural Networks (GNNs) are powerful tools for processing diverse types of graphs. However, a single GNN often struggles to handle differe…

cs.AI2024★ 1 cited

Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective

Yudong Yang, Kai Wu, Xiangyi Teng +3

The field of evolutionary many-task optimization (EMaTO) is increasingly recognized for its ability to streamline the resolution of optimization challenges with repetitive characte…

cs.LG2024

Automated Loss function Search for Class-imbalanced Node Classification

Xinyu Guo, Kai Wu, Xiaoyu Zhang +1

Class-imbalanced node classification tasks are prevalent in real-world scenarios. Due to the uneven distribution of nodes across different classes, learning high-quality node repre…

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