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2020 – today
- 2025
[c15]Mufan Qiu, Xinyu Hu, Fengwei Zhan, Sukwon Yun, Jie Peng, Ruichen Zhang, Bhavya Kailkhura, Jiekun Yang, Tianlong Chen:
GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models. ACL (Findings) 2025: 3805-3819- [c14]Rana Muhammad Shahroz, Zhen Tan, Sukwon Yun, Charles Fleming, Tianlong Chen:
Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks. ACL (1) 2025: 9661-9674 - [c13]Chi-Jane Chen, Yuhang Chen, Sukwon Yun, Natalie Stanley, Tianlong Chen:
Spatial Coordinates as a Cell Language: A Multi-Sentence Framework for Imaging Mass Cytometry Analysis. ACL (Findings) 2025: 13241-13252 - [c12]Jie Peng, Sukwon Yun, Kaixiong Zhou, Ruida Zhou, Thomas Hartvigsen, Yanyong Zhang, Zhangyang Wang, Tianlong Chen:
Sparse MoE as a New Treatment: Addressing Forgetting, Fitting, Learning Issues in Multi-Modal Multi-Task Learning. CPAL 2025: 1112-1145 - [c11]Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park:
Subgraph Federated Learning for Local Generalization. ICLR 2025 - [c10]Rana Muhammad Shahroz, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen:
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches. ICLR 2025 - [c9]Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen:
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. ICLR 2025 - [i21]Yeonjun In, Kanghoon Yoon, Sukwon Yun, Kibum Kim, Sungchul Kim, Chanyoung Park:
Training Robust Graph Neural Networks by Modeling Noise Dependencies. CoRR abs/2502.19670 (2025) - [i20]Mufan Qiu, Xinyu Hu, Fengwei Zhan, Sukwon Yun, Jie Peng, Ruichen Zhang, Bhavya Kailkhura
, Jiekun Yang, Tianlong Chen:
GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models. CoRR abs/2503.01682 (2025) - [i19]Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park:
Subgraph Federated Learning for Local Generalization. CoRR abs/2503.03995 (2025) - [i18]Justin Chih-Yao Chen, Sukwon Yun, Elias Stengel-Eskin, Tianlong Chen, Mohit Bansal:
Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning. CoRR abs/2503.05641 (2025) - [i17]Rana Muhammad Shahroz Khan, Zhen Tan, Sukwon Yun, Charles Fleming, Tianlong Chen:
Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks. CoRR abs/2504.00218 (2025) - [i16]Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tian-Long Chen:
Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer. CoRR abs/2504.12589 (2025) - [i15]Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna l. Ballard, Tianlong Chen, Qi Long:
I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts. CoRR abs/2505.19190 (2025) - [i14]Chi-Jane Chen, Yuhang Chen, Sukwon Yun, Natalie Stanley, Tianlong Chen:
Spatial Coordinates as a Cell Language: A Multi-Sentence Framework for Imaging Mass Cytometry Analysis. CoRR abs/2506.01918 (2025) - [i13]Zhenglun Kong, Mufan Qiu, John Boesen, Xiang Li, Sukwon Yun, Tianlong Chen, Manolis Kellis, Marinka Zitnik:
SPATIA: Multimodal Model for Prediction and Generation of Spatial Cell Phenotypes. CoRR abs/2507.04704 (2025) - [i12]Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park:
Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. CoRR abs/2508.01209 (2025) - 2024
- [j1]Junseok Lee, Sukwon Yun, Yeongmin Kim, Tianlong Chen, Manolis Kellis, Chanyoung Park:
Single-cell RNA sequencing data imputation using bi-level feature propagation. Briefings Bioinform. 25(3) (2024) - [c8]Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen:
Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network. ECCV (55) 2024: 127-144 - [c7]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:
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. EMNLP (Findings) 2024: 2187-2205 - [c6]Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen:
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts. NeurIPS 2024 - [c5]Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata:
DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise. PAKDD (2) 2024: 376-389 - [i11]Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata:
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise. CoRR abs/2404.09207 (2024) - [i10]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:
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR abs/2405.04819 (2024) - [i9]Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen:
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network. CoRR abs/2407.17857 (2024) - [i8]Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen:
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. CoRR abs/2410.02506 (2024) - [i7]Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen:
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts. CoRR abs/2410.08245 (2024) - [i6]Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen:
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches. CoRR abs/2410.10870 (2024) - 2023
- [c4]Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim, Chanyoung Park:
MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement. CIKM 2023: 1928-1938 - [c3]Junghurn Kim, Sukwon Yun, Chanyoung Park:
S-Mixup: Structural Mixup for Graph Neural Networks. CIKM 2023: 4003-4007 - [c2]Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park:
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. SIGIR 2023: 68-77 - [i5]Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park:
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. CoRR abs/2304.08382 (2023) - [i4]Sukwon Yun, Junseok Lee, Chanyoung Park:
Single-cell RNA-seq data imputation using Feature Propagation. CoRR abs/2307.10037 (2023) - [i3]Junghurn Kim, Sukwon Yun, Chanyoung Park:
S-Mixup: Structural Mixup for Graph Neural Networks. CoRR abs/2308.08097 (2023) - [i2]Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim, Chanyoung Park:
MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement. CoRR abs/2308.09649 (2023) - 2022
- [c1]Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park:
LTE4G: Long-Tail Experts for Graph Neural Networks. CIKM 2022: 2434-2443 - [i1]Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park:
LTE4G: Long-Tail Experts for Graph Neural Networks. CoRR abs/2208.10205 (2022)
Coauthor Index
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