Transmit Beamforming and Integer Matrix Design for MISO SWIPT Systems With Integer Forcing. - Sangwon Jung; Jang-Won Lee 001; Chungyong Lee (IEEE Wirel. Commun. Lett., 2019)

Continual Learning with Node-Importance based Adaptive Group Sparse Regularization. - Sangwon Jung; Hongjoon Ahn; Sungmin Cha; Taesup Moon (NeurIPS, 2020)

Adaptive Group Sparse Regularization for Continual Learning. - Sangwon Jung; Hongjoon Ahn; Sungmin Cha; Taesup Moon (CoRR, 2020)

MEGA: Multi-View Semi-Supervised Clustering of Hypergraphs. - Joyce Jiyoung Whang; Rundong Du; Sangwon Jung; Geon Lee; Barry L. Drake; Qingqing Liu; Seonggoo Kang; Haesun Park (Proc. VLDB Endow., 2020)

Fair Feature Distillation for Visual Recognition. - Sangwon Jung; Donggyu Lee; Taeeon Park; Taesup Moon (CVPR, 2021)

Designing Gaming Wearables: From Participatory Design to Concept Creation. - Sangwon Jung; Ruowei Xiao; Oguz 'Oz' Buruk; Juho Hamari (TEI, 2021)

RSS-Based Channel Estimation for IRS-Aided Wireless Energy Transfer System. - Sangwon Jung; Jang-Won Lee 001; Chungyong Lee (IEEE Internet Things J., 2021)

Target-Specific Drug Design Method Combining Deep Learning and Water Pharmacophore. - Minsup Kim; Kichul Park; Wonsang Kim; Sangwon Jung; Art E. Cho (J. Chem. Inf. Model., 2021)

Learning Fair Classifiers with Partially Annotated Group Labels. - Sangwon Jung; Sanghyuk Chun; Taesup Moon (CVPR, 2022)

Dataset Condensation with Contrastive Signals. - Saehyung Lee; Sanghyuk Chun; Sangwon Jung; Sangdoo Yun; Sungroh Yoon (ICML, 2022)

Psychedelic VR Experience: An Exploratory Study on Cosmic Flow. - Sangwon Jung; Oguz 'Oz' Buruk; Juho Hamari (MindTrek, 2022)

Altered States of Consciousness in Human-Computer Interaction: A Review. - Sangwon Jung; Oguz 'Oz' Buruk; Juho Hamari (NordiCHI, 2022)

Exploring the Player Experiences of Wearable Gaming Interfaces: A User Elicitation Study. - Ruowei Xiao; Sangwon Jung; Oguz 'Oz' Buruk; Juho Hamari (Proc. ACM Hum. Comput. Interact., 2022)

Issues for Continual Learning in the Presence of Dataset Bias. - Donggyu Lee; Sangwon Jung; Taesup Moon (AAAI Bridge Program, 2023)

Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. - Sangwon Jung; Taeeon Park; Sanghyuk Chun; Taesup Moon (ICLR, 2023)

Continual Learning in the Presence of Spurious Correlation. - Donggyu Lee; Sangwon Jung; Taesup Moon (CoRR, 2023)

Shroom Cards: Playful Exploration of Human Positionalities for More-than-Human Design. - Çaglar Genç; Ferran Altarriba Bertran; Oguz 'Oz' Buruk; Sangwon Jung; Velvet Spors; Juho Hamari (CHI PLAY (Companion), 2024)

Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline. - Donggyu Lee; Sangwon Jung; Taesup Moon (ICLR, 2024)

Listwise Reward Estimation for Offline Preference-based Reinforcement Learning. - Heewoong Choi; Sangwon Jung; Hongjoon Ahn; Taesup Moon (ICML, 2024)

Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? - A Theoretical and Empirical Study. - Sangwon Jung; Sumin Yu; Sanghyuk Chun; Taesup Moon (NeurIPS, 2024)

Sacred Spaces in the Digital Age: Perceptions of Lutheran Christian Priests on Augmented Reality at Holy Sites. - Samuli Laato; Sampsa Rauti; Anni Maria Laato; Samaan Al-Msallam; Sangwon Jung; Erkki Sutinen; Juho Hamari (IMX, 2024)

A Review of t-SNE. - Sangwon Jung; Tristan Dagobert; Jean-Michel Morel; Gabriele Facciolo (Image Process. Line, 2024)

Gamification of walking in nature: A field experiment with Pokémon GO Routes. - Samuli Laato; Sampsa Rauti; Bastian Kordyaka; Konstantinos Papangelis; Sangwon Jung; Timo Nummenmaa; Juho Hamari (Proc. ACM Hum. Comput. Interact., 2024)

Multi-Group Proportional Representations for Text-to-Image Models. - Sangwon Jung; Alex Oesterling; Claudio Mayrink Verdun; Sajani Vithana; Taesup Moon; Flávio P. Calmon (CVPR, 2025)

FairDRO: Group fairness regularization via classwise robust optimization. - Taeeon Park; Sangwon Jung; Sanghyuk Chun; Taesup Moon (Neural Networks, 2025)

Multi-Group Proportional Representation for Text-to-Image Models. - Sangwon Jung; Alex Oesterling; Claudio Mayrink Verdun; Sajani Vithana; Taesup Moon; Flávio P. Calmon (CoRR, 2025)