Tiantian He
8 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
🏆
Grand Slam
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(4)
Architectures
(4)
Artificial Intelligence
(3)
Core AI
(3)
Mathematics & Optimization
(2)
Core Methods
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Domain-Specific
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Types · Deep Learning
(1)
Keywords
federated learning
(3)
data heterogeneity
(2)
graph neural network
(2)
representation learning
(2)
disease progression
(1)
causal discovery
(1)
graph theory
(1)
graph attention
(1)
game theory
(1)
integer linear programming
(1)
attention mechanism
(1)
alzheimer disease
(1)
multi-objective optimization
(1)
variational autoencoder
(1)
node embedding
(1)
dna storage
(1)
mixture of expert
(1)
cross-silo collaboration
(1)
coalition formation
(1)
temporal modeling
(1)
Papers
A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling
AAAI 2026
Learning Structurally Stabilized Representations for Lossless DNA Storage
AAAI 2026
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
ICML 2025
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning
ICLR 2024
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants
AAAI 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
NeurIPS 2024
Road Network Representation Learning with the Third Law of Geography
NeurIPS 2024
Learning Conjoint Attentions for Graph Neural Nets
NeurIPS 2021