Jinyeong Park

GAILAB, Incheon National University

Incheon, South Korea

I’m an MS student in Computer Science & Engineering at Incheon National University, where I work as a research assistant in GAILAB under the supervision of Prof. Jibum Kim. My research spans Reinforcement Learning, Computer Vision, and Multimodal Learning, with a particular focus on intrinsically-motivated exploration, open-vocabulary object detection, CAD generation, and quantization.

I’m the first author of Mol-AIR, an intrinsically-motivated exploration framework for goal-directed molecular generation, published in Journal of Chemical Information and Modeling. I’ve also contributed to GuideCAD, a lightweight multimodal framework for 3D CAD model generation, published in IEEE Access. See the publications page for details.

Take a look at my publications, projects, and CV for more details. I also write about AI, RL, and Unity on my blog.

news

Jun 01, 2026	Our paper on coordinated exploration for traffic signal control was accepted to KCC 2026 (Han et al., 2026).
Mar 01, 2026	Two new preprints, QATMA (Park et al., 2026) and CAMEL-CLIP (Choi et al., 2026), are now on arXiv and under review.
Sep 01, 2025	Our paper GuideCAD was published in IEEE Access (Kim et al., 2025).
Jul 01, 2025	ViPCAD was presented at KCC 2025 (Jung et al., 2025).
Feb 01, 2025	Our paper Mol-AIR was published in Journal of Chemical Information and Modeling (Park et al., 2025).

selected publications

JCIM

Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-Directed Molecular Generation

Jinyeong Park, Jaegyoon Ahn, Jonghwan Choi, and 1 more author

Journal of Chemical Information and Modeling. SCIE, IF 6.4 (Q1) , Feb 2025

PMID: 39988822

DOI Bib Code

@article{park2025molair,
  title = {Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-Directed Molecular Generation},
  author = {Park, Jinyeong and Ahn, Jaegyoon and Choi, Jonghwan and Kim, Jibum},
  journal = {Journal of Chemical Information and Modeling},
  volume = {65},
  number = {5},
  pages = {2283--2296},
  year = {2025},
  month = feb,
  publisher = {American Chemical Society (ACS)},
  doi = {10.1021/acs.jcim.4c01669},
  note = {PMID: 39988822},
  url = {https://doi.org/10.1021/acs.jcim.4c01669},
}

IEEE Access

GuideCAD: A Lightweight Multimodal Framework for 3D CAD Model Generation via Prefix Embedding

Minseong Kim, Jinyeong Park, Sungho Park, and 1 more author

IEEE Access. SCIE, IF 4.2 (Q2) , Sep 2025

DOI Bib

@article{kim2025guidecad,
  title = {GuideCAD: A Lightweight Multimodal Framework for 3D CAD Model Generation via Prefix Embedding},
  author = {Kim, Minseong and Park, Jinyeong and Park, Sungho and Kim, Jibum},
  journal = {IEEE Access},
  volume = {13},
  pages = {153406--153419},
  year = {2025},
  month = sep,
  publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
  doi = {10.1109/ACCESS.2025.3604810},
  url = {https://doi.org/10.1109/ACCESS.2025.3604810},
  keywords = {Solid modeling; Three-dimensional displays; Computational modeling; Adaptation models; Training; Shape; Predictive models; Computational efficiency; Visualization; Tuning; Multi-modal learning; vision-language model; prefix embedding; 3D CAD modeling},
}