Hua Wang

Hua Wang

Colorado School of Mines

H-index: 36

North America-United States

About Hua Wang

Hua Wang, With an exceptional h-index of 36 and a recent h-index of 27 (since 2020), a distinguished researcher at Colorado School of Mines, specializes in the field of machine learning, big data mining, medical image computing, bioinformatics, computer vision.

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

A linear primal–dual multi-instance SVM for big data classifications

Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs

Enriched Representation Learning for Longitudinal Chest X-ray Analysis: A Novel Approach for Improved Disease Detection and Localization

Fast Multi-Modal Multi-Instance Support Vector Machine for Fine-grained Chest X-ray Recognition

Beyond the Simplex: Hadamard-Infused Deep Sparse Representations for Enhanced Similarity Measures

Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks

Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology

On Mean-Optimal Robust Linear Discriminant Analysis

Hua Wang Information

University

Position

___

Citations(all)

4367

Citations(since 2020)

2194

Cited By

3190

hIndex(all)

36

hIndex(since 2020)

27

i10Index(all)

71

i10Index(since 2020)

56

Email

University Profile Page

Colorado School of Mines

Google Scholar

View Google Scholar Profile

Hua Wang Skills & Research Interests

machine learning

big data mining

medical image computing

bioinformatics

computer vision

Top articles of Hua Wang

Title

Journal

Author(s)

Publication Date

A linear primal–dual multi-instance SVM for big data classifications

Knowledge and Information Systems

Lodewijk Brand

Hoon Seo

Lauren Zoe Baker

Carla Ellefsen

Jackson Sargent

...

2024/1

Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs

Xiangyu Li

Armand Ovanessians

Hua Wang

2023/12/1

Enriched Representation Learning for Longitudinal Chest X-ray Analysis: A Novel Approach for Improved Disease Detection and Localization

Xiangyu Li

Armand Ovanessians

Hua Wang

2023/12/1

Fast Multi-Modal Multi-Instance Support Vector Machine for Fine-grained Chest X-ray Recognition

Hoon Seo

Hua Wang

2023/12/1

Beyond the Simplex: Hadamard-Infused Deep Sparse Representations for Enhanced Similarity Measures

Xiangyu Li

Umberto Gherardi

Armand Ovanessians

Hua Wang

2023/12/1

Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks

IEEE Transactions on Neural Networks and Learning Systems

Zheng Wang

Feiping Nie

Hua Wang

Heng Huang

Fei Wang

2023/10/17

Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology

Hoon Seo

Lodewijk Brand

Lucia Saldana Barco

Hua Wang

2022/11/30

On Mean-Optimal Robust Linear Discriminant Analysis

Xiangyu Li

Hua Wang

2022/11/28

Scaling multi-instance support vector machine to breast cancer detection on the BreaKHis dataset

Bioinformatics

Hoon Seo

Lodewijk Brand

Lucia Saldana Barco

Hua Wang

2022/7/1

Real-time recognition of team behaviors by multisensory graph-embedded robot learning

The International Journal of Robotics Research

Brian Reily

Peng Gao

Fei Han

Hua Wang

Hao Zhang

2022/7

Adaptive Principal Component Analysis

Xiangyu Li

Hua Wang

2022

Learning Deeply Enriched Representations of Longitudinal Imaging-Genetic Data to Predict Alzheimer’s Disease Progression

Hoon Seo

Hua Wang

2021/12/9

A multi-instance support vector machine with incomplete data for clinical outcome prediction of COVID-19

Lodewijk Brand

Lauren Zoe Baker

Hua Wang

2021/8/1

Integrating static and dynamic data for improved prediction of cognitive declines using augmented genotype-phenotype representations

Proceedings of the AAAI conference on artificial intelligence

Hoon Seo

Lodewijk Brand

Hua Wang

Feiping Nie

2021/5/18

Improved prediction of cognitive outcomes via globally aligned imaging biomarker enrichments over progressions

IEEE Transactions on Biomedical Engineering

Lyujian Lu

Saad Elbeleidy

Lauren Baker

Hua Wang

Li Shen

...

2021/4/5

Robust Real-Time Group Activity Recognition of Robot Teams

IEEE Robotics and Automation Letters

Lyujian Lu

Hua Wang

Brian Reily

Hao Zhang

2021/2/19

Task Balanced Multimodal Feature Selection to Predict the Progression of Alzheimer’s Disease

Lodewijk Brand

Braedon O’Callaghan

Anthony Sun

Hua Wang

2020/10/26

Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments

Proceedings of the AAAI Conference on Artificial Intelligence

Lyujian Lu

Saad Elbeleidy

Lauren Zoe Baker

Hua Wang

2020/4/3

Learning Robust Multilabel Sample Specific Distances for Identifying HIV-1 Drug Resistance

Journal of Computational Biology

Lodewijk Brand

Xue Yang

Kai Liu

Saad Elbeleidy

Hua Wang

...

2020/4/1

Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers

Lyujian Lu

Hua Wang

Saad Elbeleidy

Feiping Nie

2020

See List of Professors in Hua Wang University(Colorado School of Mines)