Bo Wang

Orcid: 0000-0002-8054-8185

Affiliations:

University of International Business and Economics, School of Information Technology and Management, Beijing, China
Texas A&M University, Department of Computer Science and Engineering, TX, USA (former)
Chinese Academy of Sciences, Research Center on Fictitious Economy and Data Science / Key Laboratory of Big Data Mining and Knowledge Management, Beijing, China (former)
University of the Chinese Academy of Sciences, School of Mathematical Sciences, Beijing, China (PhD 2014)

According to our database¹, Bo Wang authored at least 32 papers between 2012 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Tackling biased complementary label learning with large margin.

[BibT_eX]

[DOI]

Inf. Sci., 2025

2024

Rethinking Lightweight Convolutional Neural Networks for Efficient and High-Quality Pavement Crack Detection.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., January, 2024

Decoupled representation for multi-view learning.

[BibT_eX]

[DOI]

Shiding Sun

Bo Wang

Yingjie Tian

Pattern Recognit., 2024

2023

LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2023

LLP-AAE: Learning from label proportions with adversarial autoencoder.

[BibT_eX]

[DOI]

Bo Wang

Yingte Sun

Qiang Tong

Neurocomputing, June, 2023

MIML-GAN: A GAN-Based Algorithm for Multi-Instance Multi-Label Learning on Overlapping Signal Waveform Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2023

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2023

2022

SELF-LLP: Self-supervised learning from label proportions with self-ensemble.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

2021

RGSR: A two-step lossy JPG image super-resolution based on noise reduction.

[BibT_eX]

[DOI]

Neurocomputing, 2021

AutoAno: Anomaly Localization with Self-supervised Multi-scale Feature and Multivariate Gaussian Estimation.

[BibT_eX]

[DOI]

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Two-stage Training for Learning from Label Proportions.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

s-LWSR: Super Lightweight Super-Resolution Network.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Deep learning from label proportions with labeled samples.

[BibT_eX]

[DOI]

Neural Networks, 2020

Token based crack detection.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2020

2019

Learning from Label Proportions with Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-Class Learning from Label Proportions for Bank Customer Classification.

[BibT_eX]

[DOI]

Yaxing Qian

Qiang Tong

Bo Wang

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

Non-negative Matrix Factorization Based Learning from Label Proportions for Vehicle Loan Default Detection.

[BibT_eX]

[DOI]

Hai Li

Qiang Tong

Bo Wang

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

A Novel Texture Generation Super Resolution Model.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

2018

Learning from label proportions on high-dimensional data.

[BibT_eX]

[DOI]

Neural Networks, 2018

Kernel Extreme Learning Machine for Learning from Label Proportions.

[BibT_eX]

[DOI]

Hao Yuan

Bo Wang

Lingfeng Niu

Proceedings of the Computational Science - ICCS 2018, 2018

2017

Learning With Label Proportions via NPSVM.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Learning with label proportions based on nonparallel support vector machines.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

A study on error correction of multiple criteria and multiple constraint levels linear programming based classification.

[BibT_eX]

[DOI]

Bo Wang

Yong Shi

Proceedings of the International Conference on Web Intelligence, 2017

2016

When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

2015

Semi-supervised classification with privileged information.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2015

World Search Engine IQ Test Based on the Internet IQ Evaluation Algorithms.

[BibT_eX]

[DOI]

Feng Liu

Yong Shi

Bo Wang

Int. J. Inf. Technol. Decis. Mak., 2015

Linear Twin SVM for Learning from Label Proportions.

[BibT_eX]

[DOI]

Bo Wang

Zhensong Chen

Zhiquan Qi

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Search Engine Marketing, Financing Ability and Firm Performance in E-commerce.

[BibT_eX]

[DOI]

Zhuofan Yang

Yong Shi

Bo Wang

Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

An Algebra Description for Hard Clustering.

[BibT_eX]

[DOI]

Proceedings of the Data Science - Second International Conference, 2015

2014

Misclassification Minimization Based on Multiple Criteria Linear Programming.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2012

Error Correction Method in Classification by Using Multiple-Criteria and Multiple-Constraint Levels Linear Programming.

[BibT_eX]

[DOI]

Bo Wang

Yong Shi

Int. J. Comput. Commun. Control, 2012

Bo Wang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...