Optimal State Management of Data Sharing in Online Social Network (OSN) Services. - Joon S. Park; Sookyung Kim; Charles A. Kamhoua; Kevin A. Kwiat (TrustCom, 2012)

Towards trusted data management in online social network (OSN) services. - Joon S. Park; Sookyung Kim; Charles A. Kamhoua; Kevin A. Kwiat (WorldCIS, 2012)

Trusted Online Social Network (OSN) services with optimal data management. - Joon S. Park; Kevin A. Kwiat; Charles A. Kamhoua; Jonathan White; Sookyung Kim (Comput. Secur., 2014)

Resolution Reconstruction of Climate Data with Pixel Recursive Model. - Sookyung Kim; Sasha Ames; Jiwoo Lee; Chengzhu Zhang; Aaron C. Wilson; Dean Williams (ICDM Workshops, 2017)

Learning to Focus and Track Extreme Climate Events. - Sookyung Kim; Sunghyun Park 005; Sunghyo Chung; Joonseok Lee; Yunsung Lee; Hyojin Kim 001; Prabhat; Jaegul Choo (BMVC, 2019)

Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events. - Sookyung Kim; Hyojin Kim 001; Joonseok Lee; Sangwoong Yoon; Samira Ebrahimi Kahou; Karthik Kashinath; Prabhat (WACV, 2019)

Deep-dust: Predicting concentrations of fine dust in Seoul using LSTM. - Sookyung Kim; Jungmin M. Lee; Jiwoo Lee; Jihoon Seo (CoRR, 2019)

Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks. - Md Rifat Arefin; Vincent Michalski; Pierre-Luc St-Charles; Alfredo Kalaitzis; Sookyung Kim; Samira Ebrahimi Kahou; Yoshua Bengio (CVPR Workshops, 2020)

An Interactive Visualization Platform for Deep Symbolic Regression. - Joanne Taery Kim; Sookyung Kim; Brenden K. Petersen (IJCAI, 2020)

Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. - Sunghyun Park 005; Kangyeol Kim; Junsoo Lee; Jaegul Choo; Joonseok Lee; Sookyung Kim; Edward Choi (AAAI, 2021)

Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. - Kangyeol Kim; Sunghyun Park 005; Junsoo Lee; Joonseok Lee; Sookyung Kim; Jaegul Choo; Edward Choi (BMVC, 2021)

Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients. - Brenden K. Petersen; Mikel Landajuela; T. Nathan Mundhenk; Cláudio Prata Santiago; Sookyung Kim; Joanne Taery Kim (ICLR, 2021)

Discovering symbolic policies with deep reinforcement learning. - Mikel Landajuela; Brenden K. Petersen; Sookyung Kim; Cláudio P. Santiago; Ruben Glatt; T. Nathan Mundhenk; Jacob F. Pettit; Daniel M. Faissol (ICML, 2021)

PillGood: Automated and Interactive Pill Dispenser Using Facial Recognition for Safe and Personalized Medication. - Jonghyeok Kim; Hosung Kwon; Jonghyeon Kim; Jinsoo Park; Soong-Un Choi; Sookyung Kim (IJCAI, 2022)

Exploiting Relation-aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical Reasoning. - Gayeong Kim; Sookyung Kim; Ko Keun Kim; Suchan Park; Heesoo Jung; Hogun Park (KDD, 2023)

A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds. - Shiwali Mohan; Wiktor Piotrowski; Roni Stern; Sachin Grover; Sookyung Kim; Jacob Le; Johan de Kleer (CoRR, 2023)

A domain-independent agent architecture for adaptive operation in evolving open worlds. - Shiwali Mohan; Wiktor Piotrowski; Roni Stern; Sachin Grover; Sookyung Kim; Jacob Le; Yoni Sher; Johan de Kleer (Artif. Intell., 2024)

Are Generative AI systems Capable of Supporting Information Needs of Patients? - Shreya Rajagopal; Subhashis Hazarika; Sookyung Kim; Yan-Ming Chiou; Jae Ho Sohn; Hari Subramonyam; Shiwali Mohan (CoRR, 2024)

Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics. - Conor F. Hayes; Felipe Leno da Silva; Jiachen Yang; T. Nathan Mundhenk; Chak Shing Lee; Jacob F. Pettit; Claudio Santiago; Sookyung Kim; Joanne Taery Kim; Ignacio Aravena Solis; Ruben Glatt; Andre R. Goncalves; et al. (CoRR, 2025)