Browse "Dept. of Industrial and Systems Engineering(산업및시스템공학과)" by Author Park, Junyoung

Showing results 1 to 11 of 11

1
Applications of graph neural networks in modeling and decision-making of dynamic networks = 동적 네트워크의 모델링 및 의사결정을 위한 그래프 신경망의 응용link

Park, Junyoung; Park, Jinkyoo; et al, 한국과학기술원, 2023

2
Convergent graph solvers

Park, Junyoung; Choo, Jinhyun; Park, Jinkyoo, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, 2022-04

3
Deep Neural Controller: a Neural Network for Model-free predictive Control and its Application to Viscosity Control in Chemical Process

Park, Junyoung; Park, Jinkyoo, International Workshop on Structural Health Monitoring (IWSHM), Stanford University, 2017-09-13

4
Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning

Wong, Vivian Wen Hui; Kim, Sang Hun; Park, Junyoung; Park, Jinkyoo; Law, Kincho H., JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, v.146, no.1, 2024-01

5
Interaction Restraint: Enforcing Adaptive Cognitive Tasks to Restrain Problematic User Interaction

Park, Junyoung; Sim, Jin Yong; KIM, JAEJEUNG; Yi, Mun Yong; Lee, Uichin, ACM Conference on Human Factors in Computing Systems, ACM Special Interest Group on Computer-Human Interaction (SIGCHI), 2018-04-25

6
Kernel Methods for Radial Transformed Compositional Data with Many Zeros

Park, Junyoung; Yoon, Changwon; Park, Cheolwoo; Ahn, Jeongyoun, The 39th International Conference on Machine Learning, ICML 2022, pp.17458 - 17472, International Conference on Machine Learning, 2022-07-21

7
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning

Park, Junyoung; Chun, Jaehyeong; Kim, Sang Hun; Kim, Youngkook; Park, Jinkyoo, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.59, no.11, pp.3360 - 3377, 2021-06

8
Physics-induced graph neural network: An application to wind-farm power estimation

Park, Junyoung; Park, Jinkyoo, Energy, v.187, 2019-11

9
Predicting Wind Turbine Power and Load Outputs by Multi-task Convolutional LSTM Model

Woo, Seongcheol; Park, Junyoung; Park, Jinkyoo, IEEE Power & Energy Society General Meeting (PESGM), IEEE PES, 2018-08-07

10
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Kim, Minsu; Park, Junyoung; Park, Jinkyoo, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-11

11
Wind Field-Based Short-Term Turbine Response Forecasting by Stacked Dilated Convolutional LSTMs

Woo, Seongcheol; Park, Junyoung; Park, Jinkyoo; Manuel, Lance, IEEE Transactions on Sustainable Energy, v.11, no.4, pp.2294 - 2304, 2020-10

rss_1.0 rss_2.0 atom_1.0