Exploratory Visual Analysis of Anomalous Runtime Behavior in Streaming High Performance Computing Applications. - Cong Xie; Wonyong Jeong; Gyorgy Matyasfalvi; Hubertus Van Dam; Klaus Mueller 001; Shinjae Yoo; Wei Xu 020 (ICCS (1), 2019)

Federated Continual Learning with Adaptive Parameter Communication. - Jaehong Yoon; Wonyong Jeong; Giwoong Lee; Eunho Yang; Sung Ju Hwang (CoRR, 2020)

Federated Semi-Supervised Learning with Inter-Client Consistency. - Wonyong Jeong; Jaehong Yoon; Eunho Yang; Sung Ju Hwang (CoRR, 2020)

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. - Sungsoo Ha; Wonyong Jeong; Gyorgy Matyasfalvi; Cong Xie; Kevin A. Huck; Jong Youl Choi; Abid Malik; Li Tang 007; Hubertus Van Dam; Line Pouchard; Wei Xu 020; Shinjae Yoo; et al. (CoRR, 2020)

Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. - Wonyong Jeong; Jaehong Yoon; Eunho Yang; Sung Ju Hwang (ICLR, 2021)

Federated Continual Learning with Weighted Inter-client Transfer. - Jaehong Yoon; Wonyong Jeong; Giwoong Lee; Eunho Yang; Sung Ju Hwang (ICML, 2021)

Task-Adaptive Neural Network Search with Meta-Contrastive Learning. - Wonyong Jeong; Hayeon Lee; Geon Park; Eunyoung Hyung; Jinheon Baek; Sung Ju Hwang (NeurIPS, 2021)

Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning. - Wonyong Jeong; Hayeon Lee; Gun Park; Eunyoung Hyung; Jinheon Baek; Sung Ju Hwang (CoRR, 2021)

Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. - Jaehong Yoon; Geon Park; Wonyong Jeong; Sung Ju Hwang (ICML, 2022)

Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching. - Wonyong Jeong; Sung Ju Hwang (NeurIPS, 2022)

Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching. - Wonyong Jeong; Sung Ju Hwang (CoRR, 2022)

Personalized Subgraph Federated Learning. - Jinheon Baek; Wonyong Jeong; Jiongdao Jin; Jaehong Yoon; Sung Ju Hwang (ICML, 2023)

AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML. - Patara Trirat; Wonyong Jeong; Sung Ju Hwang (CoRR, 2024)

A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention. - Heejun Lee; Geon Park; Youngwan Lee; Jaduk Suh; Jina Kim; Wonyong Jeong; Bumsik Kim; Hyemin Lee; Myeongjae Jeon; Sung Ju Hwang (ICLR, 2025)

Diffusion-based Neural Network Weights Generation. - Bedionita Soro; Bruno Andreis; Hayeon Lee; Wonyong Jeong; Song Chong; Frank Hutter; Sung Ju Hwang (ICLR, 2025)

Agentic Predictor: Performance Prediction for Agentic Workflows via Multi-View Encoding. - Patara Trirat; Wonyong Jeong; Sung Ju Hwang (CoRR, 2025)