| LTE4G: Long-Tail Experts for Graph Neural Networks S Yun, K Kim, K Yoon, C Park CIKM 2022, 2022 | 53 | 2022 |
| DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature D Li, S Yang, Z Tan, JY Baik, S Yun, J Lee, A Chacko, B Hou, ... EMNLP 2024 Findings, 2024 | 30 | 2024 |
| MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation K Kim, D Hyun, S Yun, C Park SIGIR 2023, 2023 | 26 | 2023 |
| Cut the crap: An economical communication pipeline for llm-based multi-agent systems G Zhang, Y Yue, Z Li, S Yun, G Wan, K Wang, D Cheng, JX Yu, T Chen ICLR 2025, 2024 | 9 | 2024 |
| Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts S Yun, I Choi, J Peng, Y Wu, J Bao, Q Zhang, J Xin, Q Long, T Chen NeurIPS 2024 Spotlight, 2024 | 6 | 2024 |
| MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement Y Oh, S Yun, D Hyun, S Kim, C Park CIKM 2023, 2023 | 6 | 2023 |
| Single-cell RNA sequencing data imputation using bi-level feature propagation J Lee, S Yun, Y Kim, T Chen, M Kellis, C Park Briefings in Bioinformatics 25 (3), bbae209, 2024 | 5 | 2024 |
| S-Mixup: Structural Mixup for Graph Neural Networks J Kim, S Yun, C Park CIKM 2023, 2023 | 5 | 2023 |
| Single-cell RNA-seq data imputation using Feature Propagation S Yun, J Lee, C Park ICML 2023 Workshop on Computational Biology, 2023 | 5 | 2023 |
| Sparse moe as a new treatment: Addressing forgetting, fitting, learning issues in multi-modal multi-task learning J Peng, S Yun, K Zhou, R Zhou, T Hartvigsen, Y Zhang, Z Wang, T Chen CPAL 2025, 2023 | 2 | 2023 |
| Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning JCY Chen, S Yun, E Stengel-Eskin, T Chen, M Bansal arXiv preprint arXiv:2503.05641, 2025 | | 2025 |
| Subgraph Federated Learning for Local Generalization S Kim, Y Lee, Y Oh, N Lee, S Yun, J Lee, S Kim, C Yang, C Park ICLR 2025 Oral, 2025 | | 2025 |
| GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models M Qiu, X Hu, F Zhan, S Yun, J Peng, R Zhang, B Kailkhura, J Yang, ... arXiv preprint arXiv:2503.01682, 2025 | | 2025 |
| Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning J Chih-Yao Chen, S Yun, E Stengel-Eskin, T Chen, M Bansal arXiv e-prints, arXiv: 2503.05641, 2025 | | 2025 |
| Training Robust Graph Neural Networks by Modeling Noise Dependencies Y In, K Yoon, S Yun, K Kim, S Kim, C Park arXiv preprint arXiv:2502.19670, 2025 | | 2025 |
| scMoE: single-cell Multi-Modal Multi-Task Learning via Sparse Mixture-of-Experts S Yun, J Peng, N Lee, Y Zhang, C Park, Z Liu, T Chen bioRxiv, 2024.11. 12.623336, 2024 | | 2024 |
| PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches RMS Khan, P Li, S Yun, Z Wang, S Nirjon, CW Wong, T Chen ICLR 2025, 2024 | | 2024 |
| Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network S Yun, J Peng, AE Trevino, C Park, T Chen ECCV 2024, 2024 | | 2024 |
| DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise T Hasegawa, S Yun, X Liu, YJ Phua, T Murata PAKDD 2024, 2024 | | 2024 |
Chanyoung ParkAssociate Professor, KAISTVerified email at kaist.ac.kr
