Yunyi Kang

According to our database, Yunyi Kang authored at least 10 papers between 2015 and 2021.

Collaborative distances:

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

2021

Multifidelity Modeling for Analysis and Optimization of Serial Production Lines.

Yunyi Kang, Logan Mathesen, Giulia Pedrielli, Feng Ju, Loo Hay Lee

IEEE Trans. Autom. Control., 2021

2020

Performance Evaluation of Production Systems Using Real-Time Machine Degradation Signals.

Yunyi Kang, Hao Yan, Feng Ju

IEEE Trans Autom. Sci. Eng., 2020

New node anomaly detection algorithm based on nonnegative matrix factorization for directed citation networks.

Ali Tosyali, Jinho Kim, Jeongsub Choi, Yunyi Kang, Myong K. Jeong

Ann. Oper. Res., 2020

2019

Flexible preventative maintenance for serial production lines with multi-stage degrading machines and finite buffers.

Yunyi Kang, Feng Ju

IISE Trans., 2019

Integrated analysis of productivity and machine condition degradation: Performance evaluation and bottleneck identification.

Yunyi Kang, Feng Ju

IISE Trans., 2019

Joint Optimization of Operating Mode and Part Sequence for Robot Loading Process Considering Real-time Health Condition.

Yunyi Kang, Feng Ju

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

Real-time Production Performance Analysis Using Machine Degradation Signals: a Two-Machine Case.

Yunyi Kang, Hao Yan, Feng Ju

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017

Multi-fidelity modeling for analysis of serial production lines.

Yunyi Kang, Logan Mathesen, Giulia Pedrielli, Feng Ju

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016

Integrated analysis of productivity and machine condition degradation: A geometric-machine case.

Yunyi Kang, Feng Ju

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

2015

A Scalable Method for Molecular Network Reconstruction Identifies Properties of Targets and Mutations in Acute Myeloid Leukemia.

Edison Ong, Anthony Szedlak, Yunyi Kang, Peyton Smith, Nicholas Smith, Madison McBride, Darren Finlay, Kristiina Vuori, James Mason, Edward D. Ball, Carlo Piermarocchi, Giovanni Paternostro

J. Comput. Biol., 2015