Jinkyoo Park
Orcid: 0000-0003-2620-1479
According to our database1,
Jinkyoo Park
authored at least 82 papers
between 2014 and 2024.
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Bibliography
2024
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding.
CoRR, 2024
CoRR, 2024
Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks.
J. Intell. Manuf., December, 2023
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation.
CoRR, 2023
Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context.
CoRR, 2023
Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning.
CoRR, 2023
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Learn to Solve the Min-max Multiple Traveling Salesmen Problem with Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
SIAM J. Appl. Dyn. Syst., September, 2022
Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission.
J. Comput. Graph. Stat., July, 2022
IEEE Control. Syst. Lett., 2022
CoRR, 2022
EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction.
CoRR, 2022
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning.
Int. J. Prod. Res., 2021
Cooperative zone-based rebalancing of idle overhead hoist transportations using multi-agent reinforcement learning with graph representation learning.
IISE Trans., 2021
ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning.
CoRR, 2021
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning.
CoRR, 2021
A Hypergraph Convolutional Neural Network for Molecular Properties Prediction using Functional Group.
CoRR, 2021
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Semi-supervised Bearing Fault Diagnosis with Adversarially-Trained Phase-Consistent Network.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
2020
IEEE Trans. Smart Grid, 2020
IEEE Trans Autom. Sci. Eng., 2020
IISE Trans., 2020
Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
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
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
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
2016
Bayesian Ascent: A Data-Driven Optimization Scheme for Real-Time Control With Application to Wind Farm Power Maximization.
IEEE Trans. Control. Syst. Technol., 2016
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 (IEEE BigData 2016), 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Analyzing the Temporal Variation of Wind Turbine Responses Using Gaussian Mixture Model and Gaussian Discriminant Analysis.
J. Comput. Civ. Eng., 2015
Erratum for "Analyzing the Temporal Variation of Wind Turbine Responses Using Gaussian Mixture Model and Gaussian Discriminant Analysis" by J. Park, K. Smarsly, K. H. Law, and D. Hartmann.
J. Comput. Civ. Eng., 2015
Real-time energy prediction for a milling machine tool using sparse Gaussian process regression.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
An intelligent machine monitoring system for energy prediction using a Gaussian Process regression.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014