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Gengchen Mai

University of Texas at Austin

32 papers hereh-index 313.4k citations82 works total

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

author position
  • first author14
  • middle author15
  • last author1

Across the 30 of 32 papers where every author was matched, so the position is known.

fields
  • cs.AI11
  • cs.CV7
  • cs.CL5
  • cs.LG4
  • cs.DB2
  • cs.CY1
affiliations
  • University of Texas at Austin
  • University of Georgia
  • Google
Homepage
same name
  • Gengchen Mai — 18 papers, h 10
  • Gengchen Mai — 7 papers, h 13
  • Gengchen Mai — 4 papers, h 3
  • Gengchen Mai — 1 paper
  • Gengchen Mai — 1 paper, h 2
  • Gengchen Mai — 1 paper, h 3

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
20182026
most citedA Review of Location Encoding for GeoAI: Methods and Applications

170 citations · 634 across the 30 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.AI2024

The KnowWhereGraph Ontology

Cogan Shimizu, Shirly Stephe, Adrita Barua +21

KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate…

cs.LG2024★ 1 cited

MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations

Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz +1

A wide range of (multivariate) temporal (1D) and spatial (2D) data analysis tasks, such as grouping vehicle sensor trajectories, can be formulated as clustering with given metric c…

cs.IT2024

Probing the Information Theoretical Roots of Spatial Dependence Measures

Zhangyu Wang, Krzysztof Janowicz, Gengchen Mai +1

Intuitively, there is a relation between measures of spatial dependence and information theoretical measures of entropy. For instance, we can provide an intuition of why spatial da…

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