Sukwon Yun

According to our database, Sukwon Yun authored at least 26 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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

Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park

CoRR, August, 2025

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

Zhenglun Kong, Mufan Qiu, John Boesen, Xiang Li, Sukwon Yun, Tianlong Chen, Manolis Kellis, Marinka Zitnik

CoRR, July, 2025

I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts.

Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna l. Ballard, Tianlong Chen, Qi Long

CoRR, May, 2025

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer.

Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tian-Long Chen

CoRR, April, 2025

Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks.

Rana Muhammad Shahroz Khan, Zhen Tan, Sukwon Yun, Charles Fleming, Tianlong Chen

CoRR, April, 2025

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

Justin Chih-Yao Chen, Sukwon Yun, Elias Stengel-Eskin, Tianlong Chen, Mohit Bansal

CoRR, March, 2025

Training Robust Graph Neural Networks by Modeling Noise Dependencies.

Yeonjun In, Kanghoon Yoon, Sukwon Yun, Kibum Kim, Sungchul Kim, Chanyoung Park

CoRR, February, 2025

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

Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Rana Muhammad Shahroz, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Subgraph Federated Learning for Local Generalization.

Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Sparse MoE as a New Treatment: Addressing Forgetting, Fitting, Learning Issues in Multi-Modal Multi-Task Learning.

Jie Peng, Sukwon Yun, Kaixiong Zhou, Ruida Zhou, Thomas Hartvigsen, Yanyong Zhang, Zhangyang Wang, Tianlong Chen

Proceedings of the Conference on Parsimony and Learning, 2025

Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks.

Rana Muhammad Shahroz, Zhen Tan, Sukwon Yun, Charles Fleming, Tianlong Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models.

Mufan Qiu, Xinyu Hu, Fengwei Zhan, Sukwon Yun, Jie Peng, Ruichen Zhang, Bhavya Kailkhura, Jiekun Yang, Tianlong Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Spatial Coordinates as a Cell Language: A Multi-Sentence Framework for Imaging Mass Cytometry Analysis.

Chi-Jane Chen, Yuhang Chen, Sukwon Yun, Natalie Stanley, Tianlong Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen

CoRR, 2024

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

Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen

CoRR, 2024

Single-cell RNA sequencing data imputation using bi-level feature propagation.

Junseok Lee, Sukwon Yun, Yeongmin Kim, Tianlong Chen, Manolis Kellis, Chanyoung Park

Briefings Bioinform., 2024

DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise.

Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts.

Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature.

Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network.

Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Single-cell RNA-seq data imputation using Feature Propagation.

Sukwon Yun, Junseok Lee, Chanyoung Park

CoRR, 2023

MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation.

Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement.

Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim, Chanyoung Park

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

S-Mixup: Structural Mixup for Graph Neural Networks.

Junghurn Kim, Sukwon Yun, Chanyoung Park

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

LTE4G: Long-Tail Experts for Graph Neural Networks.

Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022