Jongchan Park

50 papers A* 4A 4Journal 32Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Developing a Multi-Agent System to Generate Next Generation Science Assessments with Evidence-Centered Design.
CoRR
Yaxuan Yang, Jongchan Park, Yifan Zhou, Xiaoming Zhai
2026 A* conf
Quantifying Low-Level Motor Effects of Emotion: Validating Fitts' Law in Affective Contexts.
CHI
Dongyun Joo, Yunseo Chang, Jongchan Park, Kyungseo Jung, Minchae Kim, Gerard Jounghyun Kim
2026 J jnl
Science Literacy: Generative AI as Enabler of Coherence in the Teaching, Learning, and Assessment of Scientific Knowledge and Reasoning.
CoRR
Xiaoming Zhai, James W. Pellegrino, Matias Rojas, Jongchan Park, Matthew Nyaaba, Clayton Cohn, Gautam Biswas
2025 A conf
CyberBOT: Ontology-Grounded Retrieval Augmented Generation for Reliable Cybersecurity Education.
CIKM
Chengshuai Zhao, Riccardo De Maria, Tharindu Kumarage, Kumar Satvik Chaudhary, Garima Agrawal, Yiwen Li, Jongchan Park, Ying-Chih Chen, Yuli Deng, Huan Liu
2025 J jnl
CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation.
CoRR
Chengshuai Zhao, Riccardo De Maria, Tharindu Kumarage, Kumar Satvik Chaudhary, Garima Agrawal, Yiwen Li, Jongchan Park, Yuli Deng, Ying-Chih Chen, Huan Liu
2025 A* conf
Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning.
ICML
Seungho Baek, Tae-Geon Park, Jongchan Park, Seungjun Oh, Yusung Kim
2025 J jnl
Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning.
CoRR
Seungho Baek, Taegeon Park, Jongchan Park, Seungjun Oh, Yusung Kim
2025 J jnl
Improving Fault Localization with External Oracle by Using Counterfactual Execution.
ACM Trans. Softw. Eng. Methodol.
Jongchan Park, Tae Eun Kim, Dongsun Kim, Kihong Heo
2025 — conf
Pathology Foundation Models Are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss.
MedAGI
Gianluca Carloni, Biagio Brattoli, Seongho Keum, Jongchan Park, Taebum Lee, Chang Ho Ahn, Sérgio Pereira
2025 J jnl
Pathology Foundation Models are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss.
CoRR
Gianluca Carloni, Biagio Brattoli, Seongho Keum, Jongchan Park, Taebum Lee, Chang Ho Ahn, Sérgio Pereira
2025 J jnl
Polynomial-Based Impact-Time-Control Guidance Law Integrating Optimal Characteristics.
IEEE Trans. Aerosp. Electron. Syst.
Jongchan Park, Chang-Hun Lee
2025 J jnl
Power Consumption Optimization of GPU Server With Offline Reinforcement Learning.
IEEE Access
Heechan Chung, Yeeun Im, Jongchan Park, Taeho Lee, Tae-Young Kim, Hyungjun Kim, Donghwan Lee
2025 J jnl
Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning.
CoRR
Jongchan Park, Mingyu Park, Donghwan Lee
2025 J jnl
Proportional Navigation Guidance With Virtual Targeting for Impact Angle Control.
IEEE Trans. Aerosp. Electron. Syst.
Jongchan Park, Eui-Taek Jeong, Ki-Wook Jung, Chang-Hun Lee
2025 J jnl
Self-supervised risk factor model using dual Recurrent State Space Models.
Knowl. Based Syst.
Ji-Hun Lee, Seungjun Oh, Jongchan Park, Da-Hea Kim, Yusung Kim
2025 A conf
Temporal Distance-aware Subgoal Generation for Offline Hierarchical Reinforcement Learning.
CIKM
Taegeon Park, Seungho Baek, Jongchan Park, Seungjun Oh, Yusung Kim
2024 J jnl
Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer.
CoRR
Biagio Brattoli, Mohammad Mostafavi, Taebum Lee, Wonkyung Jung, Jeongun Ryu, Seonwook Park, Jongchan Park, Sérgio Pereira, Seunghwan Shin, Sangjoon Choi, Hyojin Kim, Donggeun Yoo, Siraj M. Ali, Kyunghyun Paeng, Chan-Young Ock, Soo Ick Cho, Seokhwi Kim
2024 A conf
Novelty-aware Graph Traversal and Expansion for Hierarchical Reinforcement Learning.
CIKM
Jongchan Park, Seungjun Oh, Yusung Kim
2023 — conf
The Inversive Relationship Between Bugs and Patches: An Empirical Study.
ICSTW
Jinhan Kim, Jongchan Park, Shin Yoo
2023 J jnl
The Inversive Relationship Between Bugs and Patches: An Empirical Study.
CoRR
Jinhan Kim, Jongchan Park, Shin Yoo
2022 J jnl
A Self-Supervised Sampler for Efficient Action Recognition: Real-World Applications in Surveillance Systems.
IEEE Robotics Autom. Lett.
Minseok Seo, Donghyeon Cho, Sangwoo Lee, Jongchan Park, Daehan Kim, Jaemin Lee, Jingi Ju, Hyeoncheol Noh, Dong-Geol Choi
2022 J jnl
Building Knowledge Graphs from Unstructured Texts: Applications and Impact Analyses in Cybersecurity Education.
Inf.
Garima Agrawal, Yuli Deng, Jongchan Park, Huan Liu, Ying-Chih Chen
2022 — conf
Estimation of Aerodynamic Uncertainty in Missile System Using Physics-Informed Neural Network Framework.
RiTA
Kyung-Mi Na, Jongchan Park, Ki Wook Jung, Chang-Hun Lee
2022 — conf
PT4AL: Using Self-supervised Pretext Tasks for Active Learning.
ECCV (26)
John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi
2022 J jnl
The effects of the regulated learning-supported flipped classroom on student performance.
J. Comput. High. Educ.
Hyojung Jung, Seung Won Park, Hyun Song Kim, Jongchan Park
2022 — conf
Unsupervised Change Detection Based on Image Reconstruction Loss.
CVPR Workshops
Hyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, Dong-Geol Choi
2022 J jnl
Unsupervised Change Detection Based on Image Reconstruction Loss.
CoRR
Hyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, Dong-Geol Choi
2022 J jnl
Using Self-Supervised Pretext Tasks for Active Learning.
CoRR
John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi
2021 J jnl
Exploiting Features with Split-and-Share Module.
CoRR
Jaemin Lee, Minseok Seo, Jongchan Park, Dong-Geol Choi
2021 A* conf
Reducing Domain Gap by Reducing Style Bias.
CVPR
Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo
2021 J jnl
Sequential Feature Filtering Classifier.
IEEE Access
Minseok Seo, Jaemin Lee, Jongchan Park, Daehan Kim, Dong-Geol Choi
2021 — conf
Studying the Effects of Self-Attention for Medical Image Analysis.
ICCVW
Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver O. Aalami
2021 J jnl
Studying the Effects of Self-Attention for Medical Image Analysis.
CoRR
Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver O. Aalami
2021 — conf
The Value of Visual Attention for COVID-19 Classification in CT Scans.
ICCVW
Adrit Rao, Jongchan Park, Oliver O. Aalami
2021 J jnl
Visual representation fidelity and self-explanation prompts in multi-representational adaptive learning.
J. Comput. Assist. Learn.
Hyun Joo, Jongchan Park, Dongsik Kim
2021 J jnl
X-person asymmetric interaction in virtual and augmented realities.
Comput. Animat. Virtual Worlds
Yunsik Cho, Jiewon Kang, Jaekyung Jeon, Jongchan Park, Mingyu Kim, Jinmo Kim
2020 J jnl
A Simple and Light-Weight Attention Module for Convolutional Neural Networks.
Int. J. Comput. Vis.
Jongchan Park, Sanghyun Woo, Joon-Young Lee, In So Kweon
2020 — conf
Learning Visual Context by Comparison.
ECCV (5)
Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo
2020 J jnl
Learning Visual Context by Comparison.
CoRR
Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo
2020 J jnl
Promoting case indexing in case library learning: Effects of indexing prompts on self-explanation and problem solving.
J. Comput. Assist. Learn.
Jongchan Park, Chaeyeon Park, Hyojung Jung, Dongsik Kim
2020 J jnl
Sequential Feature Filtering Classifier.
CoRR
Minseok Seo, Jaemin Lee, Jongchan Park, Dong-Geol Choi
2019 — conf
Fraud Detection with Multi-Modal Attention and Correspondence Learning.
ICEIC
Jongchan Park, Min-Hyun Kim, Seibum Choi, In So Kweon, Dong-Geol Choi
2019 J jnl
Reducing Domain Gap via Style-Agnostic Networks.
CoRR
Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo
2018 A conf
BAM: Bottleneck Attention Module.
BMVC
Jongchan Park, Sanghyun Woo, Joon-Young Lee, In So Kweon
2018 J jnl
BAM: Bottleneck Attention Module.
CoRR
Jongchan Park, Sanghyun Woo, Joon-Young Lee, In So Kweon
2018 — conf
CBAM: Convolutional Block Attention Module.
ECCV (7)
Sanghyun Woo, Jongchan Park, Joon-Young Lee, In So Kweon
2018 J jnl
CBAM: Convolutional Block Attention Module.
CoRR
Sanghyun Woo, Jongchan Park, Joon-Young Lee, In So Kweon
2018 A* conf
Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning.
CVPR
Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon
2018 J jnl
Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning.
CoRR
Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon
2011 J jnl
An 8M Polygons/s 3-D Graphics SoC With Full Hardware Geometric and Rendering Engine for Mobile Applications.
IEEE Trans. Very Large Scale Integr. Syst.
Jeonghun Kim, Hanjun Choi, Sungyeal Yoon, Taesik Bang, Jongchan Park, Chaehyun Jung, Jason Cong