Kunlun He
9 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(20)
🏆
Grand Slam
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(8)
Core Methods
(7)
Architectures
(5)
Learning Types · Machine Learning
(5)
Data Science & Analytics
(4)
Artificial Intelligence
(3)
Applications
(3)
Core AI
(3)
Computer Vision
(2)
Learning Types · Deep Learning
(2)
Knowledge & Reasoning
(1)
Analysis
(1)
Application Areas
(1)
Methods
(1)
Keywords
causal discovery
(3)
multi-view clustering
(3)
representation learning
(3)
incomplete view
(2)
time series
(2)
granger causality
(2)
incomplete multi-view clustering
(2)
graph neural network
(2)
high-dimensional data
(1)
missing data imputation
(1)
implicit neural representation
(1)
semantic information
(1)
multi-view learning
(1)
normalizing flow
(1)
matrix factorization
(1)
data imputation
(1)
feature decomposition
(1)
variational autoencoder
(1)
distribution alignment
(1)
benchmark dataset
(1)
Papers
Imbalanced View Contribution Evaluation and Refinement for Deep Incomplete Multi-View Clustering
CVPR 2026
Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance
ICCV 2025
DVI:A Derivative-based Vision Network for INR
ICML 2025
Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence
ICCV 2025
Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery
ICCV 2025
Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering
NeurIPS 2024
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
ICLR 2024
CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series
AAAI 2024
CUTS: Neural Causal Discovery from Irregular Time-Series Data
ICLR 2023