Sangwon Jung

According to our database, Sangwon Jung authored at least 22 papers between 2019 and 2025.

Collaborative distances:

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

2025

FairDRO: Group fairness regularization via classwise robust optimization.

Taeeon Park, Sangwon Jung, Sanghyuk Chun, Taesup Moon

Neural Networks, 2025

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

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

Proceedings of the ACM International Conference on Interactive Media Experiences, 2024

Listwise Reward Estimation for Offline Preference-based Reinforcement Learning.

Heewoong Choi, Sangwon Jung, Hongjoon Ahn, Taesup Moon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline.

Donggyu Lee, Sangwon Jung, Taesup Moon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play, 2024

2023

Continual Learning in the Presence of Spurious Correlation.

Donggyu Lee, Sangwon Jung, Taesup Moon

CoRR, 2023

Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization.

Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Issues for Continual Learning in the Presence of Dataset Bias.

Donggyu Lee, Sangwon Jung, Taesup Moon

Proceedings of the AAAI Bridge Program on Continual Causality, 2023

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

Altered States of Consciousness in Human-Computer Interaction: A Review.

Sangwon Jung, Oguz 'Oz' Buruk, Juho Hamari

Proceedings of the NordiCHI '22: Nordic Human-Computer Interaction Conference, Aarhus, Denmark, October 8, 2022

Psychedelic VR Experience: An Exploratory Study on Cosmic Flow.

Sangwon Jung, Oguz 'Oz' Buruk, Juho Hamari

Proceedings of the 25th International Academic Mindtrek conference, 2022

Dataset Condensation with Contrastive Signals.

Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon

Proceedings of the International Conference on Machine Learning, 2022

Learning Fair Classifiers with Partially Annotated Group Labels.

Sangwon Jung, Sanghyuk Chun, Taesup Moon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

RSS-Based Channel Estimation for IRS-Aided Wireless Energy Transfer System.

Sangwon Jung, Jang-Won Lee, Chungyong Lee

IEEE Internet Things J., 2021

Designing Gaming Wearables: From Participatory Design to Concept Creation.

Sangwon Jung, Ruowei Xiao, Oguz 'Oz' Buruk, Juho Hamari

Proceedings of the TEI '21: Fifteenth International Conference on Tangible, 2021

Fair Feature Distillation for Visual Recognition.

Sangwon Jung, Donggyu Lee, Taeeon Park, Taesup Moon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Adaptive Group Sparse Regularization for Continual Learning.

Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon

CoRR, 2020

Continual Learning with Node-Importance based Adaptive Group Sparse Regularization.

Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Transmit Beamforming and Integer Matrix Design for MISO SWIPT Systems With Integer Forcing.

Sangwon Jung, Jang-Won Lee, Chungyong Lee

IEEE Wirel. Commun. Lett., 2019