Bo Tang
Orcid: 0000-0001-5708-766XAffiliations:
- 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 65 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Neurocomputing, March, 2024
How Simulation Helps Autonomous Driving: A Survey of Sim2real, Digital Twins, and Parallel Intelligence.
IEEE Trans. Intell. Veh., January, 2024
FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation.
IEEE Trans. Cybern., January, 2024
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning.
CoRR, 2024
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning.
CoRR, 2024
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving.
CoRR, 2024
2023
IEEE Trans. Mob. Comput., November, 2023
IEEE Trans. Intell. Transp. Syst., November, 2023
AI Testing Framework for Next-G O-RAN Networks: Requirements, Design, and Research Opportunities.
IEEE Wirel. Commun., February, 2023
IEEE Trans. Dependable Secur. Comput., 2023
2022
Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
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.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Model-Driven Architecture of Extreme Learning Machine to Extract Power Flow Features.
IEEE Trans. Neural Networks Learn. Syst., 2021
Learning a Deep Cascaded Neural Network for Multiple Motion Commands Prediction in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2021
Parallel and Distributed Computing for Anomaly Detection From Hyperspectral Remote Sensing Imagery.
Proc. IEEE, 2021
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation.
CoRR, 2021
CoRR, 2021
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients.
CoRR, 2021
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
IEEE Signal Process. Lett., 2020
Pattern Recognit. Lett., 2020
Recursive Multi-Scale Image Deraining With Sub-Pixel Convolution Based Feature Fusion and Context Aggregation.
IEEE Access, 2020
Proceedings of the 3rd International Conference on Information and Computer Technologies, 2020
2019
Sensors, 2019
IEEE Intell. Transp. Syst. Mag., 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
BULDP: Biomimetic Uncorrelated Locality Discriminant Projection for Feature Extraction in Face Recognition.
IEEE Trans. Image Process., 2018
IEEE Trans. Big Data, 2018
Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018
Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Trans. Ind. Informatics, 2017
Pattern Recognit., 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
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.
IEEE Trans. Signal Process., 2016
IEEE Trans. Knowl. Data Eng., 2016
A Bayesian Classification Approach Using Class-Specific Features for Text Categorization.
IEEE Trans. Knowl. Data Eng., 2016
Human Mobility Modeling for Robot-Assisted Evacuation in Complex Indoor Environments.
IEEE Trans. Hum. Mach. Syst., 2016
EEF: Exponentially Embedded Families With Class-Specific Features for Classification.
IEEE Signal Process. Lett., 2016
Adaptive Signal Detection and Parameter Estimation in Unknown Colored Gaussian Noise.
CoRR, 2016
FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization.
CoRR, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Detection of false data injection attacks in smart grid under colored Gaussian noise.
Proceedings of the 2016 IEEE Conference on Communications and Network Security, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Comput. Intell. Mag., 2015
Proceedings of the 44th International Conference on Parallel Processing, 2015
KernelADASYN: Kernel based adaptive synthetic data generation for imbalanced learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
A Hierarchical Distributed Fog Computing Architecture for Big Data Analysis in Smart Cities.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015
2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014