David Keetae Park

32 papers A* 3B 1Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Alternative mixed integer linear programming optimization for joint job scheduling and data allocation in grid computing. Future Gener. Comput. Syst. Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov
2026	J	`jnl`	DANCE: Doubly Adaptive Neighborhood Conformal Estimation. CoRR Brandon R. Feng, Brian J. Reich, Daniel Beaglehole, Xihaier Luo, David Keetae Park, Shinjae Yoo, Zhechao Huang, Xueyu Mao, Olcay Boz, Jungeum Kim
2026	J	`jnl`	Recovering Whole-Brain Causal Connectivity under Indirect Observation with Applications to Human EEG and fMRI. CoRR Sangyoon Bae, Miruna Oprescu, David Keetae Park, Shinjae Yoo, Jiook Cha
2026	J	`jnl`	Uncertainty-Calibrated Spatiotemporal Field Diffusion with Sparse Supervision. CoRR Kevin Valencia, Xihaier Luo, Shinjae Yoo, David Keetae Park
2025	J	`jnl`	Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing. CoRR Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov
2025	J	`jnl`	CGSim: A Simulation Framework for Large Scale Distributed Computing Environment. CoRR Sairam Sri Vatsavai, Raees Khan, Kuan-Chieh Hsu, Ozgur O. Kilic, Paul Nilsson, Tatiana Korchuganova, David Keetae Park, Sankha Dutta, Yihui Ren, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025	J	`jnl`	DIVER-0 : A Fully Channel Equivariant EEG Foundation Model. CoRR Danny Dongyeop Han, Ahhyun Lucy Lee, Taeyang Lee, Yonghyeon Gwon, Sebin Lee, Seongjin Lee, David Keetae Park, Shinjae Yoo, Jiook Cha, Chun Kee Chung
2025	J	`jnl`	DIVER-1 : Deep Integration of Vast Electrophysiological Recordings at Scale. CoRR Danny Dongyeop Han, Yonghyeon Gwon, Ahhyun Lucy Lee, Taeyang Lee, Seong Jin Lee, Jubin Choi, Sebin Lee, Jihyun Bang, Seungju Lee, David Keetae Park, Shinjae Yoo, Chun Kee Chung, Jiook Cha
2025	J	`jnl`	FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics. CoRR David Keetae Park, Shuhang Li, Yi Huang, Xihaier Luo, Haiwang Yu, Yeonju Go, Christopher Pinkenburg, Yuewei Lin, Shinjae Yoo, Joseph D. Osborn, Jin Huang, Yihui Ren
2025	J	`jnl`	GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders. CoRR Miruna Oprescu, David Keetae Park, Xihaier Luo, Shinjae Yoo, Nathan Kallus
2025	J	`jnl`	Machine Learning-Driven Predictive Resource Management in Complex Science Workflows. CoRR Tasnuva Chowdhury, Tadashi Maeno, Fatih Furkan Akman, Joseph Boudreau, Sankha Dutta, Shengyu Feng, Adolfy Hoisie, Kuan-Chieh Hsu, Raees Khan, Jaehyung Kim, Ozgur O. Kilic, Scott Klasky, Alexei Klimentov, Tatiana Korchuganova, Verena Ingrid Martinez Outschoorn, Paul Nilsson, David Keetae Park, Norbert Podhorszki, Yihui Ren, John Rembrandt Steele, Frédéric Suter, Sairam Sri Vatsavai, Torre J. Wenaus, Wei Yang, Yiming Yang, Shinjae Yoo
2025	J	`jnl`	OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning. CoRR Kevin Valencia, Thilina Balasooriya, Xihaier Luo, Shinjae Yoo, David Keetae Park
2025	A*	`conf`	SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields. ICML David Keetae Park, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo
2025	J	`jnl`	SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields. CoRR David Keetae Park, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo
2025	J	`jnl`	STACI: Spatio-Temporal Aleatoric Conformal Inference. CoRR Brandon R. Feng, David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, Brian J. Reich
2025	J	`jnl`	Scalable Diffusion Transformer for Conditional 4D fMRI Synthesis. CoRR Jungwoo Seo, David Keetae Park, Shinjae Yoo, Jiook Cha
2025	J	`jnl`	Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures. CoRR Ozgur O. Kilic, David Keetae Park, Yihui Ren, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2024	—	`conf`	AI Surrogate Model for Distributed Computing Workloads. SC Workshops David Keetae Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2024	J	`jnl`	AI Surrogate Model for Distributed Computing Workloads. CoRR David Keetae Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2024	—	`—`	Precise Identification of Neurological Disorders using Deep Learning and Multimodal Clinical Neuroimaging David Keetae Park
2020	—	`conf`	F\^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax. EMNLP (1) Byung-Ju Choi, Jimin Hong, David Keetae Park, Sang Wan Lee
2020	J	`jnl`	F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax. CoRR Byung-Ju Choi, Jimin Hong, David Keetae Park, Sang Wan Lee
2019	A*	`conf`	Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. CVPR Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo
2019	J	`jnl`	What and Where to Translate: Local Mask-based Image-to-Image Translation. CoRR Wonwoong Cho, Seunghwan Choi, Junwoo Park, David Keetae Park, Tao Qin, Jaegul Choo
2018	—	`conf`	Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation. ECCV (12) Hyojin Bahng, Seungjoo Yoo, Wonwoong Cho, David Keetae Park, Ziming Wu, Xiaojuan Ma, Jaegul Choo
2018	J	`jnl`	Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation. CoRR Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo
2018	J	`jnl`	Interpreting Models by Allowing to Ask. CoRR Sungmin Kang, David Keetae Park, Jaehyuk Chang, Jaegul Choo
2018	A*	`conf`	MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. IJCAI David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park
2018	J	`jnl`	MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. CoRR David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park
2018	B	`conf`	MMGAN: Manifold-Matching Generative Adversarial Networks. ICPR Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, David Keetae Park, Tanmoy Chakraborty, Hongkyu Park, Youngmin Kim
2018	J	`jnl`	Question-Aware Sentence Gating Networks for Question and Answering. CoRR Minjeong Kim, David Keetae Park, Hyungjong Noh, Yeonsoo Lee, Jaegul Choo
2018	J	`jnl`	Text2Colors: Guiding Image Colorization through Text-Driven Palette Generation. CoRR Wonwoong Cho, Hyojin Bahng, David Keetae Park, Seungjoo Yoo, Ziming Wu, Xiaojuan Ma, Jaegul Choo