Jinkyoo Park

According to our database1, Jinkyoo Park authored at least 25 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Demand-Side Management With Shared Energy Storage System in Smart Grid.
IEEE Trans. Smart Grid, 2020

Hierarchical Anomaly Detection Using a Multioutput Gaussian Process.
IEEE Trans Autom. Sci. Eng., 2020

TorchDyn: A Neural Differential Equations Library.
CoRR, 2020

REMAX: Relational Representation for Multi-Agent Exploration.
CoRR, 2020

Hypersolvers: Toward Fast Continuous-Depth Models.
CoRR, 2020

Approximate Inference for Spectral Mixture Kernel.
CoRR, 2020

Stable Neural Flows.
CoRR, 2020

Dissecting Neural ODEs.
CoRR, 2020

Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering.
CoRR, 2020

Hypergraph Convolutional Recurrent Neural Network.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Multi-Agent Actor-Critic with Hierarchical Graph Attention Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Graph Neural Ordinary Differential Equations.
CoRR, 2019

WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series.
CoRR, 2019

Scalable and transferable learning of algorithms via graph embedding for multi-robot reward collection.
CoRR, 2019

Port-Hamiltonian Approach to Neural Network Training.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Idle Vehicle Rebalancing in Semiconductor Fabrication Using Factorized Graph Neural Network Reinforcement Learning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Multi-Agent Actor-Critic with Generative Cooperative Policy Network.
CoRR, 2018

Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve an Earthwork Scheduling Problem.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Data Driven Analytics (Machine Learning) for System Characterization, Diagnostics and Control Optimization.
Proceedings of the Advanced Computing Strategies for Engineering, 2018

Bayesian Ascent: A Data-Driven Optimization Scheme for Real-Time Control With Application to Wind Farm Power Maximization.
IEEE Trans. Control. Syst. Technol., 2016

Classification of Heart Sound Recordings Using Convolution Neural Network.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Evaluation of a PMML-based GPR scoring engine on a cloud platform and microcomputer board for smart manufacturing.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

A data-driven approach for cooperative wind farm control.
Proceedings of the 2016 American Control Conference, 2016

Real-time energy prediction for a milling machine tool using sparse Gaussian process regression.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

An intelligent machine monitoring system for energy prediction using a Gaussian Process regression.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014