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Haixin Wang

7 papers hereh-index 5116 citations9 works total

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

author position
  • first author2
  • middle author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.IR1
  • math.NA1
same name
  • Haixin Wang — 7 papers, h 6
  • Haixin Wang — 6 papers, h 10
  • Haixin Wang — 6 papers, h 2
  • Haixin Wang — 6 papers, h 5
  • Haixin Wang — 1 paper, h 9
  • Haixin Wang — 1 paper

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
20242026
most citedA Survey of Generative Techniques for Spatial-Temporal Data Mining

5 citations · 5 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.LG2024

HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning

Qianru Zhang, Xinyi Gao, Haixin Wang +3

Spatial-temporal graph representations play a crucial role in urban sensing applications, including traffic analysis, human mobility behavior modeling, and citywide crime predictio…

cs.IR2024

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security

Qianru Zhang, Peng Yang, Junliang Yu +4

The widespread adoption of smartphones and Location-Based Social Networks has led to a massive influx of spatio-temporal data, creating unparalleled opportunities for enhancing Poi…

cs.LG2024★ 5 cited

A Survey of Generative Techniques for Spatial-Temporal Data Mining

Qianru Zhang, Haixin Wang, Cheng Long +8

This paper focuses on the integration of generative techniques into spatial-temporal data mining, considering the significant growth and diverse nature of spatial-temporal data. Wi…

cs.LG2024

BENO: Boundary-embedded Neural Operators for Elliptic PDEs

Haixin Wang, Jiaxin Li, Anubhav Dwivedi +2

Elliptic partial differential equations (PDEs) are a major class of time-independent PDEs that play a key role in many scientific and engineering domains such as fluid dynamics, pl…

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