Hao Yan

Hao Yan

Arizona State University

H-index: 19

North America-United States

About Hao Yan

Hao Yan, With an exceptional h-index of 19 and a recent h-index of 18 (since 2020), a distinguished researcher at Arizona State University, specializes in the field of Data Analytics, Machine Learning, System Informatics, Manufacturing.

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

Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling

Hierarchical Multi-label Classification for Fine-level Event Extraction from Aviation Accident Reports

Thompson Sampling-Based Partially Observable Online Change Detection for Exponential Families

Image-based Novel Fault Detection with Deep Learning Classifiers using Hierarchical Labels

Uncertainty-based active learning by Bayesian U-Net for multi-label cone-beam CT segmentation

ANTLER: Bayesian nonlinear tensor learning and modeler for unstructured, varying-size point cloud data

Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection

Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints

Hao Yan Information

University

Position

___

Citations(all)

1318

Citations(since 2020)

1219

Cited By

364

hIndex(all)

19

hIndex(since 2020)

18

i10Index(all)

27

i10Index(since 2020)

27

Email

University Profile Page

Arizona State University

Google Scholar

View Google Scholar Profile

Hao Yan Skills & Research Interests

Data Analytics

Machine Learning

System Informatics

Manufacturing

Top articles of Hao Yan

Title

Journal

Author(s)

Publication Date

Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling

arXiv preprint arXiv:2404.04403

Jiuyun Hu

Ziyue Li

Chen Zhang

Fugee Tsung

Hao Yan

2024/4/5

Hierarchical Multi-label Classification for Fine-level Event Extraction from Aviation Accident Reports

arXiv preprint arXiv:2403.17914

Xinyu Zhao

Hao Yan

Yongming Liu

2024/3/26

Thompson Sampling-Based Partially Observable Online Change Detection for Exponential Families

INFORMS Journal on Data Science

Jie Guo

Hao Yan

Chen Zhang

2024/1/9

Image-based Novel Fault Detection with Deep Learning Classifiers using Hierarchical Labels

IISE Transactions

Nurettin Sergin

Jiayu Huang

Tzyy-Shuh Chang

Hao Yan

2024/3/1

Uncertainty-based active learning by Bayesian U-Net for multi-label cone-beam CT segmentation

Journal of Endodontics

Jiayu Huang

Nazbanoo Farpour

Bingjian J Yang

Muralidhar Mupparapu

Fleming Lure

...

2024/2/1

ANTLER: Bayesian nonlinear tensor learning and modeler for unstructured, varying-size point cloud data

IEEE Transactions on Automation Science and Engineering

Michael Biehler

Hao Yan

Jianjun Shi

2023/1/11

Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection

Journal of Applied Statistics

Jiuyun Hu

Yajun Mei

Sarah Holte

Hao Yan

2023/10/26

Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints

Knowledge-Based Systems

Jiayu Huang

Yutian Pang

Yongming Liu

Hao Yan

2023/1/10

Personalized tucker decomposition: Modeling commonality and peculiarity on tensor data

arXiv preprint arXiv:2309.03439

Jiuyun Hu

Naichen Shi

Raed Al Kontar

Hao Yan

2023/9/7

Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering

arXiv preprint arXiv:2306.13794

Ziyue Li

Hao Yan

Chen Zhang

Andi Wang

Wolfgang Ketter

...

2023/6/23

A Bayesian partially observable online change detection approach with Thompson sampling

Technometrics

Jie Guo

Hao Yan

Chen Zhang

2023/4/3

Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation

Data Mining and Knowledge Discovery

Ziyue Li

Hao Yan

Chen Zhang

Fugee Tsung

2022/7

Convolutional Neural Network-Assisted Adaptive Sampling for Sparse Feature Detection in Image and Video Data

IEEE Intelligent Systems

Geet Lahoti

Chitta Ranjan

Jialei Chen

Hao Yan

Chuck Zhang

2022/10/19

Real-time detection of clustered events in video-imaging data with applications to additive manufacturing

IISE Transactions

Hao Yan

Marco Grasso

Kamran Paynabar

Bianca Maria Colosimo

2022/5/4

Adaptive Partially Observed Sequential Change Detection and Isolation

Technometrics

Xinyu Zhao

Jiuyun Hu

Yajun Mei

Hao Yan1

2022/10/2

Event Extraction for aviation accident reports through attention-based multi-label classification

Xinyu Zhao

Hao Yan

Yongming Liu

2022

Deep spatio-temporal sparse decomposition for trend prediction and anomaly detection in cardiac electrical conduction

IISE Transactions on Healthcare Systems Engineering

Xinyu Zhao

Hao Yan

Zhiyong Hu

Dongping Du

2022/5/27

Attention-based Representation Learning for Time Series with Principal and Residual Space Monitoring

Botao Wang

Fugee Tsung

Hao Yan

2022/8/20

A tensor voting-based surface anomaly classification approach by using 3D point cloud data

Journal of Manufacturing Science and Engineering

Juan Du

Hao Yan

Tzyy-Shuh Chang

Jianjun Shi

2022/5/1

Bayesian spatio-temporal graph transformer network (b-star) for multi-aircraft trajectory prediction

Knowledge-Based Systems

Yutian Pang

Xinyu Zhao

Jueming Hu

Hao Yan

Yongming Liu

2022/8/5

See List of Professors in Hao Yan University(Arizona State University)

Co-Authors

H-index: 76
Massimo Ruzzene

Massimo Ruzzene

University of Colorado Boulder

H-index: 55
Jianjun Shi

Jianjun Shi

Georgia Institute of Technology

H-index: 49
Yongming Liu

Yongming Liu

Arizona State University

H-index: 23
KAIBO LIU

KAIBO LIU

University of Wisconsin-Madison

H-index: 18
Feng Ju

Feng Ju

Arizona State University

H-index: 18
Yajun Mei

Yajun Mei

Georgia Institute of Technology

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