Jinkun Wang

According to our database, Jinkun Wang authored at least 28 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Order-Dependent Sampling Control of Uncertain FO Linear System.

Chao Ge, Jinkun Wang, Yajuan Liu, Changchun Hua

IEEE Trans. Circuits Syst. II Express Briefs, February, 2024

Real-Time Planning Under Uncertainty for AUVs Using Virtual Maps.

Ivana Collado-Gonzalez, John McConnell, Jinkun Wang, Paul Szenher, Brendan J. Englot

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

The influence of leadership and smart level on the strategy choice of the smart logistics platform: a perspective of collaborative innovation participation.

Weihua Liu, Shangsong Long, Yanjie Liang, Jinkun Wang, Shuang Wei

Ann. Oper. Res., May, 2023

2022

Virtual Maps for Autonomous Exploration of Cluttered Underwater Environments.

Jinkun Wang, Fanfei Chen, Yewei Huang, John McConnell, Tixiao Shan, Brendan J. Englot

CoRR, 2022

2021

Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty.

Fanfei Chen, Paul Szenher, Yewei Huang, Jinkun Wang, Tixiao Shan, Shi Bai, Brendan J. Englot

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Simulation-based lidar super-resolution for ground vehicles.

Tixiao Shan, Jinkun Wang, Fanfei Chen, Paul Szenher, Brendan J. Englot

Robotics Auton. Syst., 2020

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs.

Fanfei Chen, John D. Martin, Yewei Huang, Jinkun Wang, Brendan J. Englot

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Learning-Aided 3-D Occupancy Mapping With Bayesian Generalized Kernel Inference.

Kevin J. Doherty, Tixiao Shan, Jinkun Wang, Brendan J. Englot

IEEE Trans. Robotics, 2019

Autonomous Exploration Under Uncertainty via Graph Convolutional Networks.

Fanfei Chen, Jinkun Wang, Tixiao Shan, Brendan J. Englot

Proceedings of the Robotics Research, 2019

Virtual Maps for Autonomous Exploration with Pose SLAM.

Jinkun Wang, Tixiao Shan, Brendan J. Englot

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Underwater Terrain Reconstruction from Forward-Looking Sonar Imagery.

Jinkun Wang, Tixiao Shan, Brendan J. Englot

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Group recommendation based on a bidirectional tensor factorization model.

Jinkun Wang, Yuanchun Jiang, Jianshan Sun, Yezheng Liu, Xiao Liu

World Wide Web, 2018

Collaborative matrix factorization mechanism for group recommendation in big data-based library systems.

Yezheng Liu, Lu Yang, Jianshan Sun, Yuanchun Jiang, Jinkun Wang

Libr. Hi Tech, 2018

Robust Exploration with Multiple Hypothesis Data Association.

Jinkun Wang, Brendan J. Englot

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Bayesian Generalized Kernel Inference for Terrain Traversability Mapping.

Tixiao Shan, Jinkun Wang, Brendan J. Englot, Kevin J. Doherty

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation.

John D. Martin, Jinkun Wang, Brendan J. Englot

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

A novel collective matrix factorization model for recommendation with fine-grained social trust prediction.

Jinkun Wang, Shasha Zhang, Xiao Liu, Yuanchun Jiang, Min Zhang

Concurr. Comput. Pract. Exp., 2017

Autonomous Exploration with Expectation-Maximization.

Jinkun Wang, Brendan J. Englot

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Underwater localization and 3D mapping of submerged structures with a single-beam scanning sonar.

Jinkun Wang, Shi Bai, Brendan J. Englot

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Bayesian generalized kernel inference for occupancy map prediction.

Kevin J. Doherty, Jinkun Wang, Brendan J. Englot

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

考虑用户活跃度和项目流行度的基于项目最近邻的协同过滤算法 (Item-based Collaborative Filtering Algorithm Integrating User Activity and Item Popularity).

Jinkun Wang, Yuanchun Jiang, Jianshan Sun, Chunhua Sun

计算机科学, 2016

A data-stream-based abnormal data mining in web texts environment.

Jin-Yun Wang, Yezheng Liu, Jinkun Wang

J. Comput. Methods Sci. Eng., 2016

Information-theoretic exploration with Bayesian optimization.

Shi Bai, Jinkun Wang, Fanfei Chen, Brendan J. Englot

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Fast, accurate gaussian process occupancy maps via test-data octrees and nested Bayesian fusion.

Jinkun Wang, Brendan J. Englot

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Probabilistic map fusion for fast, incremental occupancy mapping with 3D Hilbert maps.

Kevin J. Doherty, Jinkun Wang, Brendan J. Englot

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Diversified Recommendation Incorporating Item Content Information Based on MOEA/D.

Jinkun Wang, Yezheng Liu, Jianshan Sun, Yuan-Chun Jiang, Chunhua Sun

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Utilize Item Correlation to Improve Aggregate Diversity for Recommender Systems.

Yezheng Liu, Jinkun Wang, Yuanchun Jiang, Jianshan Sun, Chunhua Sun

Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2015

Inference-Enabled Information-Theoretic Exploration of Continuous Action Spaces.

Shi Bai, Jinkun Wang, Kevin J. Doherty, Brendan J. Englot

Proceedings of the Robotics Research, 2015