KiJung Yoon - RankMe

17 papers A* 1Misc 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comparative Study of Adaptation Strategies for Time Series Foundation Models in Anomaly Detection. CoRR Miseon Park, KiJung Yoon
2025	J	`jnl`	A Multimodal Approach to Alzheimer's Diagnosis: Geometric Insights from Cube Copying and Cognitive Assessments. CoRR Jaeho Yang, KiJung Yoon
2025	J	`jnl`	Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks. CoRR KiJung Yoon
2024	J	`jnl`	Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning. CoRR Ung Hwang, Chang-Hun Lee, KiJung Yoon
2023	J	`jnl`	Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting. IEEE Access Juhyeon Kim, Hyungeun Lee, Seungwon Yu, Ung Hwang, Wooyeol Jung, KiJung Yoon
2023	J	`jnl`	Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting. CoRR Juhyeon Kim, Hyungeun Lee, Seungwon Yu, Ung Hwang, Wooyul Jung, Miseon Park, KiJung Yoon
2023	J	`jnl`	Osteoporosis Prediction from Hand and Wrist X-rays using Image Segmentation and Self-Supervised Learning. CoRR Hyungeun Lee, Ung Hwang, Seungwon Yu, Chang-Hun Lee, KiJung Yoon
2023	J	`jnl`	Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks. Trans. Mach. Learn. Res. Hyungeun Lee, KiJung Yoon
2022	J	`jnl`	Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks. CoRR Hyungeun Lee, Hyunmok Park, KiJung Yoon
2022	J	`jnl`	Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons. IEEE Access Juhyeon Kim, A. Emin Orhan, KiJung Yoon, Xaq Pitkow
2021	—	`conf`	Degree Matters: Assessing the Generalization of Graph Neural Network. IC-NIDC Hyunmok Park, KiJung Yoon
2021	J	`jnl`	Two-argument activation functions learn soft XOR operations like cortical neurons. CoRR KiJung Yoon, A. Emin Orhan, Juhyun Kim, Xaq Pitkow
2019	Misc	`conf`	Inference in Probabilistic Graphical Models by Graph Neural Networks. ACSSC KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
2018	J	`jnl`	Inference in Probabilistic Graphical Models by Graph Neural Networks. CoRR KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
2018	—	`conf`	Inference in probabilistic graphical models by Graph Neural Networks. ICLR (Workshop) KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
2018	A*	`conf`	Reviving and Improving Recurrent Back-Propagation. ICML Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel
2018	J	`jnl`	Reviving and Improving Recurrent Back-Propagation. CoRR Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel