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Journal Articles
- 2023
[j3]Juhyeon Kim, Hyungeun Lee, Seungwon Yu, Ung Hwang, Wooyeol Jung, KiJung Yoon
:
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting. IEEE Access 11: 118386-118394 (2023)- [j2]Hyungeun Lee, Kijung Yoon:
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j1]Juhyeon Kim, A. Emin Orhan, KiJung Yoon, Xaq Pitkow:
Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons. IEEE Access 10: 58071-58080 (2022)
Conference and Workshop Papers
- 2021
- [c4]Hyunmok Park, KiJung Yoon:
Degree Matters: Assessing the Generalization of Graph Neural Network. IC-NIDC 2021: 71-75 - 2019
- [c3]KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow:
Inference in Probabilistic Graphical Models by Graph Neural Networks. ACSSC 2019: 868-875 - 2018
- [c2]KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow:
Inference in probabilistic graphical models by Graph Neural Networks. ICLR (Workshop) 2018 - [c1]Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel:
Reviving and Improving Recurrent Back-Propagation. ICML 2018: 3088-3097
Informal and Other Publications
- 2023
- [i6]Hyungeun Lee, Ung Hwang, Seungwon Yu, Chang-Hun Lee, Kijung Yoon:
Osteoporosis Prediction from Hand and Wrist X-rays using Image Segmentation and Self-Supervised Learning. CoRR abs/2311.06834 (2023) - [i5]Juhyeon Kim, Hyungeun Lee, Seungwon Yu, Ung Hwang, Wooyul Jung, Miseon Park, Kijung Yoon:
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting. CoRR abs/2311.12630 (2023) - 2022
- [i4]Hyungeun Lee, Hyunmok Park, KiJung Yoon:
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks. CoRR abs/2209.06589 (2022) - 2021
- [i3]KiJung Yoon, A. Emin Orhan, Juhyun Kim, Xaq Pitkow:
Two-argument activation functions learn soft XOR operations like cortical neurons. CoRR abs/2110.06871 (2021) - 2018
- [i2]Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel:
Reviving and Improving Recurrent Back-Propagation. CoRR abs/1803.06396 (2018) - [i1]KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow:
Inference in Probabilistic Graphical Models by Graph Neural Networks. CoRR abs/1803.07710 (2018)
Coauthor Index
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