Bo Tang

Orcid: 0000-0001-5708-766X

Affiliations:

Mississippi State University, Starkville, MS, USA
Hofstra University, Department of Computer Science, Hempstead, NY, USA (former)
University of Rhode Island, Kingston, RI, USA (PhD 2016)

According to our database¹, Bo Tang authored at least 63 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

AdaER: An adaptive experience replay approach for continual lifelong learning.

[BibT_eX]

[DOI]

Xingyu Li

Bo Tang

Haifeng Li

Neurocomputing, March, 2024

How Simulation Helps Autonomous Driving: A Survey of Sim2real, Digital Twins, and Parallel Intelligence.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., January, 2024

FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., January, 2024

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2024

2023

On the Convergence of Multi-Server Federated Learning With Overlapping Area.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., November, 2023

Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., November, 2023

AI Testing Framework for Next-G O-RAN Networks: Requirements, Design, and Research Opportunities.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., February, 2023

LoMar: A Local Defense Against Poisoning Attack on Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima.

[BibT_eX]

[DOI]

Xingyu Li

Bo Tang

CoRR, 2023

Sim2real and Digital Twins in Autonomous Driving: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

On the Convergence of Multi-Server Federated Learning with Overlapping Area.

[BibT_eX]

[DOI]

CoRR, 2022

CaT: CAVS Traversability Dataset for Off-Road Autonomous Driving.

[BibT_eX]

[DOI]

Christopher R. Hudson

Sam Ozier

John E. Ball

Bo Tang

IEEE Access, 2022

Soil Moisture Estimation Using Hyperspectral Imagery Based on Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Stragglers Are Not Disasters: A Hybrid Federated Learning Framework with Delayed Gradients.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Generalized Federated Learning via Sharpness Aware Minimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

CSLM: Convertible Short-Term and Long-Term Memory in Differential Neural Computers.

[BibT_eX]

[DOI]

Shiming Xiang

Bo Tang

IEEE Trans. Neural Networks Learn. Syst., 2021

Model-Driven Architecture of Extreme Learning Machine to Extract Power Flow Features.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Learning a Deep Cascaded Neural Network for Multiple Motion Commands Prediction in Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Parallel and Distributed Computing for Anomaly Detection From Hyperspectral Remote Sensing Imagery.

[BibT_eX]

[DOI]

Proc. IEEE, 2021

FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation.

[BibT_eX]

[DOI]

CoRR, 2021

Overcome Anterograde Forgetting with Cycled Memory Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Reviewing continual learning from the perspective of human-level intelligence.

[BibT_eX]

[DOI]

CoRR, 2021

Learning by Active Forgetting for Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients.

[BibT_eX]

[DOI]

CoRR, 2021

Shape Estimation of Negative Obstacles for Autonomous Navigation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Kernel-Based Edge-Preserving Methods for Abrupt Change Detection.

[BibT_eX]

[DOI]

Shiming Xiang

Bo Tang

IEEE Signal Process. Lett., 2020

MCENN: A variant of extended nearest neighbor method for pattern recognition.

[BibT_eX]

[DOI]

Bo Tang

Haibo He

Song Zhang

Pattern Recognit. Lett., 2020

Recursive Multi-Scale Image Deraining With Sub-Pixel Convolution Based Feature Fusion and Context Aggregation.

[BibT_eX]

[DOI]

IEEE Access, 2020

Data-Enabled Correlation Analysis between Wildfire and Climate using GIS.

[BibT_eX]

[DOI]

Weiwei Xie

Mingyan He

Bo Tang

Proceedings of the 3rd International Conference on Information and Computer Technologies, 2020

2019

Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving.

[BibT_eX]

[DOI]

Muhammad Aminul Islam

Sensors, 2019

Parallel Motion Planning: Learning a Deep Planning Model against Emergencies.

[BibT_eX]

[DOI]

IEEE Intell. Transp. Syst. Mag., 2019

2018

BULDP: Biomimetic Uncorrelated Locality Discriminant Projection for Feature Extraction in Face Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

A Generative Model for Sparse Hyperparameter Determination.

[BibT_eX]

[DOI]

Zhiqiang Wan

Haibo He

Bo Tang

IEEE Trans. Big Data, 2018

MILE: A minimally interactive learning framework for visual data analysis.

[BibT_eX]

[DOI]

Bo Tang

Haibo He

Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018

A learning-based cost management system for cloud computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018

2017

Semisupervised Feature Selection Based on Relevance and Redundancy Criteria.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Incorporating Intelligence in Fog Computing for Big Data Analysis in Smart Cities.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2017

GIR-based ensemble sampling approaches for imbalanced learning.

[BibT_eX]

[DOI]

Bo Tang

Haibo He

Pattern Recognit., 2017

A local density-based approach for outlier detection.

[BibT_eX]

[DOI]

Bo Tang

Haibo He

Neurocomputing, 2017

Kernel-based generative learning in distortion feature space.

[BibT_eX]

[DOI]

Bo Tang

Paul M. Baggenstoss

Haibo He

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

ADL: Active dictionary learning for sparse representation.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Probability Density Function Estimation Using the EEF With Application to Subset/Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Toward Optimal Feature Selection in Naive Bayes for Text Categorization.

[BibT_eX]

[DOI]

Bo Tang

Steven Kay

Haibo He

IEEE Trans. Knowl. Data Eng., 2016

A Bayesian Classification Approach Using Class-Specific Features for Text Categorization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Human Mobility Modeling for Robot-Assisted Evacuation in Complex Indoor Environments.

[BibT_eX]

[DOI]

IEEE Trans. Hum. Mach. Syst., 2016

EEF: Exponentially Embedded Families With Class-Specific Features for Classification.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

An Imbalanced Learning based MDR-TB Early Warning System.

[BibT_eX]

[DOI]

Sheng Li

Bo Tang

Haibo He

J. Medical Syst., 2016

Adaptive Signal Detection and Parameter Estimation in Unknown Colored Gaussian Noise.

[BibT_eX]

[DOI]

Bo Tang

Haibo He

Steven Kay

CoRR, 2016

FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization.

[BibT_eX]

[DOI]

Bo Tang

Haibo He

CoRR, 2016

A Local Density-Based Approach for Local Outlier Detection.

[BibT_eX]

[DOI]

Bo Tang

Haibo He

CoRR, 2016

Detection of false data attacks in smart grid with supervised learning.

[BibT_eX]

[DOI]

Jun Yan

Bo Tang

Haibo He

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Probabilistic human mobility model in indoor environment.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Detection of false data injection attacks in smart grid under colored Gaussian noise.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Communications and Network Security, 2016

2015

A Parametric Classification Rule Based on the Exponentially Embedded Family.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

ENN: Extended Nearest Neighbor Method for Pattern Recognition [Research Frontier].

[BibT_eX]

[DOI]

Bo Tang

Haibo He

IEEE Comput. Intell. Mag., 2015

Reflex-Tree: A Biologically Inspired Parallel Architecture for Future Smart Cities.

[BibT_eX]

[DOI]

Proceedings of the 44th International Conference on Parallel Processing, 2015

KernelADASYN: Kernel based adaptive synthetic data generation for imbalanced learning.

[BibT_eX]

[DOI]

Bo Tang

Haibo He

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A Hierarchical Distributed Fog Computing Architecture for Big Data Analysis in Smart Cities.

[BibT_eX]

[DOI]

Proceedings of the ASE BigData & SocialInformatics 2015, 2015

2014

Hybrid classification with partial models.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Experimental studies on indoor sign recognition and classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Bo Tang

Timeline

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