Gengchen Mai
7 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Triple Crown
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Core AI
(3)
Learning Types
(3)
Application Areas
(2)
Core Methods
(2)
Models
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications
(1)
Domain-Specific
(1)
Keywords
image classification
(3)
transfer learning
(2)
contrastive learning
(1)
spatial context
(1)
uncertainty quantification
(1)
knowledge extraction
(1)
question answering
(1)
multi-scale representation
(1)
deep learning framework
(1)
hinge loss
(1)
spatial representation learning
(1)
location encoding
(1)
geospatial data
(1)
geo-aware model
(1)
satellite imagery
(1)
self-supervised learning
(1)
grid cell
(1)
goodness-of-fit test
(1)
domain adaptation
(1)
representation learning
(1)
Papers
EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization
AAAI 2026
Spatial-Agent: Agentic Geo-spatial Reasoning with Scientific Core Concepts
ACL 2026
GeoLLM: Extracting Geospatial Knowledge from Large Language Models
ICLR 2024
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
ICML 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
NeurIPS 2024
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
ICML 2023
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
ICLR 2020