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Journal Articles
- 2022
[j5]Ruowei Xiao, Sangwon Jung
, Oguz 'Oz' Buruk, Juho Hamari:
Exploring the Player Experiences of Wearable Gaming Interfaces: A User Elicitation Study. Proc. ACM Hum. Comput. Interact. 6(CHI PLAY): 1-26 (2022)- 2021
- [j4]Sangwon Jung, Jang-Won Lee, Chungyong Lee:
RSS-Based Channel Estimation for IRS-Aided Wireless Energy Transfer System. IEEE Internet Things J. 8(19): 14860-14873 (2021) - [j3]Minsup Kim, Kichul Park, Wonsang Kim, Sangwon Jung, Art E. Cho:
Target-Specific Drug Design Method Combining Deep Learning and Water Pharmacophore. J. Chem. Inf. Model. 61(1): 36-45 (2021) - 2020
- [j2]Joyce Jiyoung Whang, Rundong Du, Sangwon Jung, Geon Lee, Barry L. Drake, Qingqing Liu, Seonggoo Kang, Haesun Park:
MEGA: Multi-View Semi-Supervised Clustering of Hypergraphs. Proc. VLDB Endow. 13(5): 698-711 (2020) - 2019
- [j1]Sangwon Jung, Jang-Won Lee, Chungyong Lee:
Transmit Beamforming and Integer Matrix Design for MISO SWIPT Systems With Integer Forcing. IEEE Wirel. Commun. Lett. 8(1): 229-232 (2019)
Conference and Workshop Papers
- 2024
- [c13]Çaglar Genç, Ferran Altarriba Bertran, Oguz 'Oz' Buruk, Sangwon Jung, Velvet Spors, Juho Hamari:
Shroom Cards: Playful Exploration of Human Positionalities for More-than-Human Design. CHI PLAY (Companion) 2024: 97-103 - [c12]Donggyu Lee, Sangwon Jung, Taesup Moon:
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline. ICLR 2024 - [c11]Heewoong Choi, Sangwon Jung, Hongjoon Ahn, Taesup Moon:
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning. ICML 2024 - [c10]Samuli Laato, Sampsa Rauti, Anni Maria Laato, Samaan Al-Msallam, Sangwon Jung, Erkki Sutinen, Juho Hamari:
Sacred Spaces in the Digital Age: Perceptions of Lutheran Christian Priests on Augmented Reality at Holy Sites. IMX 2024: 256-267 - 2023
- [c9]Donggyu Lee, Sangwon Jung, Taesup Moon:
Issues for Continual Learning in the Presence of Dataset Bias. AAAI Bridge Program 2023: 92-99 - [c8]Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon:
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. ICLR 2023 - 2022
- [c7]Sangwon Jung, Sanghyuk Chun, Taesup Moon:
Learning Fair Classifiers with Partially Annotated Group Labels. CVPR 2022: 10338-10347 - [c6]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. ICML 2022: 12352-12364 - [c5]Sangwon Jung, Oguz 'Oz' Buruk, Juho Hamari:
Psychedelic VR Experience: An Exploratory Study on Cosmic Flow. MindTrek 2022: 23-30 - [c4]Sangwon Jung, Oguz 'Oz' Buruk, Juho Hamari:
Altered States of Consciousness in Human-Computer Interaction: A Review. NordiCHI 2022: 69:1-69:13 - 2021
- [c3]Sangwon Jung, Donggyu Lee, Taeeon Park, Taesup Moon:
Fair Feature Distillation for Visual Recognition. CVPR 2021: 12115-12124 - [c2]Sangwon Jung, Ruowei Xiao, Oguz 'Oz' Buruk, Juho Hamari:
Designing Gaming Wearables: From Participatory Design to Concept Creation. TEI 2021: 91:1-91:14 - 2020
- [c1]Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon:
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization. NeurIPS 2020
Informal and Other Publications
- 2024
- [i7]Heewoong Choi, Sangwon Jung, Hongjoon Ahn, Taesup Moon:
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning. CoRR abs/2408.04190 (2024) - 2023
- [i6]Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon:
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. CoRR abs/2303.00442 (2023) - [i5]Donggyu Lee, Sangwon Jung, Taesup Moon:
Continual Learning in the Presence of Spurious Correlation. CoRR abs/2303.11863 (2023) - 2022
- [i4]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. CoRR abs/2202.02916 (2022) - 2021
- [i3]Sangwon Jung, Donggyu Lee, Taeeon Park, Taesup Moon:
Fair Feature Distillation for Visual Recognition. CoRR abs/2106.04411 (2021) - [i2]Sangwon Jung, Sanghyuk Chun, Taesup Moon:
Learning Fair Classifiers with Partially Annotated Group Labels. CoRR abs/2111.14581 (2021) - 2020
- [i1]Sangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup Moon:
Adaptive Group Sparse Regularization for Continual Learning. CoRR abs/2003.13726 (2020)
Coauthor Index
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