Sukwon Yun

Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration

SPATIA: Multimodal Model for Prediction and Generation of Spatial Cell Phenotypes

Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning

How Long Do Model Patches Last? A Temporal Perspective on PortLLM

scMoE: single-cell Multi-Modal Multi-Task Learning via Sparse Mixture-of-Experts

$BetaConform$: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer

Subgraph Federated Learning for Local Generalization

Training Robust Graph Neural Networks by Modeling Noise Dependencies

PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches

Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems

Sparse MoE as a New Retriever: Addressing Missing Modality Problem in Incomplete Multimodal Data

$I$^2$MoE$: Interpretable Multimodal Interaction-aware Mixture-of-Experts

$LLaPA$: Harnessing Language Models for Protein Enzyme Function

Toward Generalizability of Graph-based Imputation on Biomedical Tabular-based Missing Data

Enhancing single-cell Multi-Modal Multi-Task Learning via Sparse Mixture-of-Experts

Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features

Multimodal Graph-LLM: Leveraging Graph-Enhanced LLMs for Multimodal Healthcare Predictions