Jungpyo Lee

According to our database, Jungpyo Lee authored at least 14 papers between 2014 and 2024.

Collaborative distances:

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

2024

Haptic Search With the Smart Suction Cup on Adversarial Objects.

Jungpyo Lee, Sebastian David Lee, Tae Myung Huh, Hannah S. Stuart

IEEE Trans. Robotics, 2024

Initial Analysis of Data-Driven Haptic Search for the Smart Suction Cup.

Jungpyo Lee, Sebastian D. Lee, Tae Myung Huh, Hannah S. Stuart

CoRR, 2024

Regrasping on Printed Circuit Boards with the Smart Suction Cup.

Jungpyo Lee, Zheng Sun, Zhipeng Dong, Fei Chen, Hannah S. Stuart

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

2023

Haptic search with the Smart Suction Cup on adversarial objects.

Jungpyo Lee, Sebastian D. Lee, Tae Myung Huh, Hannah S. Stuart

CoRR, 2023

2021

Recommendation system for technology convergence opportunities based on self-supervised representation learning.

Jungpyo Lee, So Young Sohn

Scientometrics, 2021

Predicting future technological convergence patterns based on machine learning using link prediction.

Joon Hyung Cho, Jungpyo Lee, So Young Sohn

Scientometrics, 2021

Assistive supernumerary grasping with the back of the hand.

Jungpyo Lee, Licheng Yu, Lucie Derbier, Hannah S. Stuart

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

2018

A Passive Tracking System Based on Geometric Constraints in Adaptive Wireless Sensor Networks.

Biao Zhou, Deockhyeon Ahn, Jungpyo Lee, Chao Sun, Sabbir Ahmed, Youngok Kim

Sensors, 2018

An Energy Conservation Tracking System for the Device-free Target in Wireless Sensor Networks.

Biao Zhou, Deockhyeon Ahn, Jungpyo Lee, Chao Sun, Sabbir Ahmed, Youngok Kim

Proceedings of the 1st IEEE International Conference on Knowledge Innovation and Invention, 2018

2017

What makes the first forward citation of a patent occur earlier?

Jungpyo Lee, So Young Sohn

Scientometrics, 2017

2015

Machine Learning Models and Statistical Measures for Predicting the Progression of IgA Nephropathy.

Junhyug Noh, Dharani Punithan, Hajeong Lee, Jungpyo Lee, Yon Su Kim, Dongki Kim, Robert Ian (Bob) McKay

Int. J. Softw. Eng. Knowl. Eng., 2015

ECOM: A fast and accurate solver for toroidal axisymmetric MHD equilibria.

Jungpyo Lee, Antoine J. Cerfon

Comput. Phys. Commun., 2015

2014

A block-tridiagonal solver with two-level parallelization for finite element-spectral codes.

Jungpyo Lee, John C. Wright

Comput. Phys. Commun., 2014

Predicting the Progression of IgA Nephropathy using Machine Learning Methods.

Junhyug Noh, Dharani Punithan, Hajeong Lee, Jungpyo Lee, Yon Su Kim, Dongki Kim, Robert I. McKay

Proceedings of the 8th International Conference on Bio-inspired Information and Communications Technologies, 2014