Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation. - Hyojin Bahng; Seungjoo Yoo; Wonwoong Cho; David Keetae Park; Ziming Wu; Xiaojuan Ma; Jaegul Choo (ECCV (12), 2018)

MMGAN: Manifold-Matching Generative Adversarial Networks. - Noseong Park; Ankesh Anand; Joel Ruben Antony Moniz; Kookjin Lee; Jaegul Choo; David Keetae Park; Tanmoy Chakraborty 002; Hongkyu Park; Youngmin Kim (ICPR, 2018)

MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. - David Keetae Park; Seungjoo Yoo; Hyojin Bahng; Jaegul Choo; Noseong Park (IJCAI, 2018)

Text2Colors: Guiding Image Colorization through Text-Driven Palette Generation. - Wonwoong Cho; Hyojin Bahng; David Keetae Park; Seungjoo Yoo; Ziming Wu; Xiaojuan Ma; Jaegul Choo (CoRR, 2018)

Question-Aware Sentence Gating Networks for Question and Answering. - Minjeong Kim; David Keetae Park; Hyungjong Noh; Yeonsoo Lee; Jaegul Choo (CoRR, 2018)

Interpreting Models by Allowing to Ask. - Sungmin Kang; David Keetae Park; Jaehyuk Chang; Jaegul Choo (CoRR, 2018)

Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. - Wonwoong Cho; Sungha Choi; David Keetae Park; Inkyu Shin; Jaegul Choo (CVPR, 2019)

What and Where to Translate: Local Mask-based Image-to-Image Translation. - Wonwoong Cho; Seunghwan Choi; Junwoo Park; David Keetae Park; Tao Qin; Jaegul Choo (CoRR, 2019)

F ^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax. - Byung-Ju Choi; Jimin Hong; David Keetae Park; Sang Wan Lee (EMNLP (1), 2020)

AI Surrogate Model for Distributed Computing Workloads. - David Keetae Park; Yihui Ren 001; Ozgur O. Kilic; Tatiana Korchuganova; Sairam Sri Vatsavai; Joseph Boudreau; Tasnuva Chowdhury; Shengyu Feng; Raees Khan; Jaehyung Kim 001; Scott Klasky; Tadashi Maeno; et al. (SC Workshops, 2024)

Precise Identification of Neurological Disorders using Deep Learning and Multimodal Clinical Neuroimaging - David Keetae Park (2024)

Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing. - Shengyu Feng; Jaehyung Kim 001; Yiming Yang; Joseph Boudreau; Tasnuva Chowdhury; Adolfy Hoisie; Raees Khan; Ozgur O. Kilic; Scott Klasky; Tatiana Korchuganova; Paul Nilsson; Verena Ingrid Martinez Outschoorn; et al. (CoRR, 2025)

GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders. - Miruna Oprescu; David Keetae Park; Xihaier Luo; Shinjae Yoo; Nathan Kallus (CoRR, 2025)

SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields. - David Keetae Park; Xihaier Luo; Guang Zhao; Seungjun Lee; Miruna Oprescu; Shinjae Yoo (CoRR, 2025)

STACI: Spatio-Temporal Aleatoric Conformal Inference. - Brandon R. Feng; David Keetae Park; Xihaier Luo; Arantxa Urdangarin; Shinjae Yoo; Brian J. Reich (CoRR, 2025)

Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures. - Ozgur O. Kilic; David Keetae Park; Yihui Ren 001; Tatiana Korchuganova; Sairam Sri Vatsavai; Joseph Boudreau; Tasnuva Chowdhury; Shengyu Feng; Raees Khan; Jaehyung Kim 001; Scott Klasky; Tadashi Maeno; et al. (CoRR, 2025)

DIVER-0 : A Fully Channel Equivariant EEG Foundation Model. - Danny Dongyeop Han; Ahhyun Lucy Lee; Taeyang Lee; Yonghyeon Gwon; Sebin Lee; Seongjin Lee; David Keetae Park; Shinjae Yoo; Jiook Cha; Chun Kee Chung (CoRR, 2025)