Jongchan Park
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
9
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AIED | Confidence-Aware Automated Assessment of Student-Drawn Scientific Models. | Luyang Fang, Yingchuan Zhang, Jongchan Park, Zhaoji Wang, Ping Ma, Xiaoming Zhai |
| 2026 | AIED | ArguAgent: AI-Supported Real-Time Grouping for Productive Argumentation in STEM Classrooms. | Jennifer Kleiman, Yizhu Gao, Xin Xia, Zhaoji Wang, Zipei Zhu, Jongchan Park, Xiaoming Zhai |
| 2026 | CHI | Quantifying Low-Level Motor Effects of Emotion: Validating Fitts' Law in Affective Contexts. | Dongyun Joo, Yunseo Chang, Jongchan Park, Kyungseo Jung, Minchae Kim, Gerard Jounghyun Kim |
| 2025 | CIKM | Temporal Distance-aware Subgoal Generation for Offline Hierarchical Reinforcement Learning. | Taegeon Park, Seungho Baek, Jongchan Park, Seungjun Oh, Yusung Kim |
| 2025 | CIKM | CyberBOT: Ontology-Grounded Retrieval Augmented Generation for Reliable Cybersecurity Education. | Chengshuai Zhao, Riccardo De Maria, Tharindu Kumarage, Kumar Satvik Chaudhary, Garima Agrawal, Yiwen Li, Jongchan Park, Ying-Chih Chen, Yuli Deng, Huan Liu |
| 2025 | ICML | Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning. | Seungho Baek, Tae-Geon Park, Jongchan Park, Seungjun Oh, Yusung Kim |
| 2025 | MICCAI | Pathology Foundation Models Are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss. | Gianluca Carloni, Biagio Brattoli, Seongho Keum, Jongchan Park, Taebum Lee, Chang Ho Ahn, Srgio Pereira |
| 2024 | CIKM | Novelty-aware Graph Traversal and Expansion for Hierarchical Reinforcement Learning. | Jongchan Park, Seungjun Oh, Yusung Kim |
| 2023 | ICST | The Inversive Relationship Between Bugs and Patches: An Empirical Study. | Jinhan Kim, Jongchan Park, Shin Yoo |
| 2022 | CVPR | Unsupervised Change Detection Based on Image Reconstruction Loss. | Hyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, Dong-Geol Choi |
| 2022 | ECCV | PT4AL: Using Self-supervised Pretext Tasks for Active Learning. | John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi |
| 2021 | CVPR | Reducing Domain Gap by Reducing Style Bias. | Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo |
| 2020 | ECCV | Learning Visual Context by Comparison. | Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo |
| 2018 | BMVC | BAM: Bottleneck Attention Module. | Jongchan Park, Sanghyun Woo, Joon-Young Lee, In So Kweon |
| 2018 | CVPR | Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning. | Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon |
| 2018 | ECCV | CBAM: Convolutional Block Attention Module. | Sanghyun Woo, Jongchan Park, Joon-Young Lee, In So Kweon |