KAIBO LIU

KAIBO LIU

University of Wisconsin-Madison

H-index: 23

North America-United States

About KAIBO LIU

KAIBO LIU, With an exceptional h-index of 23 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Wisconsin-Madison, specializes in the field of System Informatics, Industrial Big Data analytics, Data Fusion, Statistical Learning, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Online monitoring of high-dimensional asynchronous and heterogeneous data streams for shifts in location and scale

Online nonparametric monitoring for asynchronous processes with serial correlation

Modeling and monitoring of a multivariate spatio-temporal network system

Covariate dependent sparse functional data analysis

An integrated deep learning-based data fusion and degradation modeling method for improving prognostics

Online nonparametric monitoring of heterogeneous data streams with partial observations based on Thompson sampling

A spatiotemporal prediction approach for a 3D thermal field from sensor networks

A generic online nonparametric monitoring and sampling strategy for high-dimensional heterogeneous processes

KAIBO LIU Information

University

Position

Associate Professor

Citations(all)

2040

Citations(since 2020)

1705

Cited By

922

hIndex(all)

23

hIndex(since 2020)

21

i10Index(all)

33

i10Index(since 2020)

31

Email

University Profile Page

University of Wisconsin-Madison

Google Scholar

View Google Scholar Profile

KAIBO LIU Skills & Research Interests

System Informatics

Industrial Big Data analytics

Data Fusion

Statistical Learning

Machine Learning

Top articles of KAIBO LIU

Title

Journal

Author(s)

Publication Date

Online monitoring of high-dimensional asynchronous and heterogeneous data streams for shifts in location and scale

International Journal of Production Research

Honghan Ye

Ziqian Zheng

Jing-Ru C Cheng

Brock Hable

Kaibo Liu

2024/2/1

Online nonparametric monitoring for asynchronous processes with serial correlation

IISE Transactions

Ziqian Zheng

Honghan Ye

Kaibo Liu

2024/1/23

Modeling and monitoring of a multivariate spatio-temporal network system

IISE Transactions

Di Wang

Fangyu Li

Kaibo Liu

2023/4/3

Covariate dependent sparse functional data analysis

INFORMS Journal on Data Science

Minhee Kim

Todd Allen

Kaibo Liu

2023/4

An integrated deep learning-based data fusion and degradation modeling method for improving prognostics

IEEE Transactions on Automation Science and Engineering

Di Wang

Kaibo Liu

2023/2/13

Online nonparametric monitoring of heterogeneous data streams with partial observations based on Thompson sampling

IISE Transactions

Honghan Ye

Xiaochen Xian

Jing-Ru C Cheng

Brock Hable

Robert W Shannon

...

2023/4/3

A spatiotemporal prediction approach for a 3D thermal field from sensor networks

Journal of Quality Technology

Di Wang

Kaibo Liu

Xi Zhang

2022/3/25

A generic online nonparametric monitoring and sampling strategy for high-dimensional heterogeneous processes

IEEE Transactions on Automation Science and Engineering

Honghan Ye

Kaibo Liu

2022/2/7

Transfer Learning-Based Independent Component Analysis

IEEE Transactions on Automation Science and Engineering

Ziqian Zheng

Wei Zhao

Brock Hable

Yutao Gong

Xuan Wang

...

2022/12/20

Automatic recognition system for document digitization in nuclear power plants

Nuclear Engineering and Design

Elisa Ou

Minhee Kim

Po-Ling Loh

Todd Allen

Robert Agasie

...

2022/11/1

Transfer learning of memory kernels in coarse-grained modeling

arXiv preprint arXiv:2103.10578

Zhan Ma

Shu Wang

Minhee Kim

Kaibo Liu

Chun-Long Chen

...

2021/3/19

Online monitoring of big data streams: A rank-based sampling algorithm by data augmentation

Journal of Quality Technology

Xiaochen Xian

Chen Zhang

Scott Bonk

Kaibo Liu

2021/3/15

Spatiotemporal modeling and real-time prediction of origin-destination traffic demand

Technometrics

Xiaochen Xian

Honghan Ye

Xin Wang

Kaibo Liu

2021/1/25

Building local models for flexible degradation modeling and Prognostics

IEEE Transactions on Automation Science and Engineering

Changyue Song

Ziqian Zheng

Kaibo Liu

2021/11/5

Collusion detection and ground truth inference in crowdsourcing for labeling tasks

Journal of Machine Learning Research

Changyue Song

Kaibo Liu

Xi Zhang

2021

An adaptive sensor selection framework for multisensor prognostics

Journal of Quality Technology

Minhee Kim

Jing-Ru C Cheng

Kaibo Liu

2021/10/20

Transfer learning of memory kernels for transferable coarse-graining of polymer dynamics

Soft Matter

Zhan Ma

Shu Wang

Minhee Kim

Kaibo Liu

Chun-Long Chen

...

2021

A generic indirect deep learning approach for multisensor degradation modeling

IEEE Transactions on Automation Science and Engineering

Di Wang

Kaibo Liu

Xi Zhang

2021/5/17

A Bayesian deep learning framework for interval estimation of remaining useful life in complex systems by incorporating general degradation characteristics

IISE Transactions

Minhee Kim

Kaibo Liu

2020/12/8

RNN-Based online anomaly detection in nuclear reactors for highly imbalanced datasets with uncertainty

Nuclear Engineering and Design

Minhee Kim

Elisa Ou

Po-Ling Loh

Todd Allen

Robert Agasie

...

2020/8/1

See List of Professors in KAIBO LIU University(University of Wisconsin-Madison)