Didong Li
9 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (23) π£ Hot Topic Early Bird β The Questioner
π
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Core Methods
(6)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Mathematics
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Deep Learning
(2)
Healthcare & Medicine
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Research
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Clinical
(1)
Core AI
(1)
Keywords
gaussian process
(3)
riemannian manifold
(2)
contrastive learning
(2)
functional data analysis
(2)
dimension reduction
(2)
dimensionality reduction
(2)
spatial transcriptomics
(2)
principal component analysis
(1)
maximum likelihood
(1)
feature extraction
(1)
multimodal learning
(1)
manifold learning
(1)
hypothesis testing
(1)
gene expression
(1)
gaussian processes
(1)
approximation error
(1)
bayesian inference
(1)
geometric structure
(1)
generative model
(1)
statistical learning
(1)
Papers
Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data
JMLR 2025
Contrastive Functional Principal Component Analysis
AAAI 2025
Deep Generative Models: Complexity, Dimensionality, and Approximation
JMLR 2025
Identifiability for Gaussian Processes with Holomorphic Kernels
ICLR 2025
Contrastive dimension reduction: when and how?
NeurIPS 2024
Spherical Rotation Dimension Reduction with Geometric Loss Functions
JMLR 2024
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics
NeurIPS 2024
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds
JMLR 2023
On the Identifiability and Interpretability of Gaussian Process Models
NeurIPS 2023