Tiantian He
8 papers · 2021–2026 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (4) π Cross-Pollinator (11)
π
Academic Marathon
(5)
π
Renaissance Researcher
(5)
π
Grand Slam
Conferences
AAAI (3)
NIPS (3)
ICLR (1)
ICML (1)
Top co-authors
Keywords
data heterogeneity
(2)
graph neural network
(2)
federated learning
(2)
game theory
(1)
graph theory
(1)
dna storage
(1)
attention mechanism
(1)
graph attention
(1)
integer linear programming
(1)
disease progression
(1)
node embedding
(1)
variational autoencoder
(1)
mixture of expert
(1)
cross-silo collaboration
(1)
coalition formation
(1)
free-rider problem
(1)
brain connectome
(1)
cross-silo federated learning
(1)
error correction
(1)
cluster embedding
(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
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants
AAAI 2024
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning
ICLR 2024
Road Network Representation Learning with the Third Law of Geography
NIPS 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
NIPS 2024
Learning Conjoint Attentions for Graph Neural Nets
NIPS 2021