Bo Tang
TitleCited byYear
A hierarchical distributed fog computing architecture for big data analysis in smart cities
B Tang, Z Chen, G Hefferman, T Wei, H He, Q Yang
Proceedings of the ASE BigData & SocialInformatics 2015, 28, 2015
Incorporating intelligence in fog computing for big data analysis in smart cities
B Tang, Z Chen, G Hefferman, S Pei, T Wei, H He, Q Yang
IEEE Transactions on Industrial informatics 13 (5), 2140-2150, 2017
Toward optimal feature selection in naive Bayes for text categorization
B Tang, S Kay, H He
IEEE Transactions on Knowledge and Data Engineering 28 (9), 2508-2521, 2016
A Bayesian classification approach using class-specific features for text categorization
B Tang, H He, PM Baggenstoss, S Kay
IEEE Transactions on Knowledge and Data Engineering 28 (6), 1602-1606, 2016
ENN: Extended Nearest Neighbor Method for Pattern Recognition [Research Frontier]
B Tang, H He
IEEE Computational Intelligence Magazine (CIM) 10 (3), 52-60, 2015
Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles
X Hu, L Chen, B Tang, D Cao, H He
Mechanical Systems and Signal Processing 100, 482-500, 2018
A local density-based approach for outlier detection
B Tang, H He
Neurocomputing 241, 171-180, 2017
Semisupervised feature selection based on relevance and redundancy criteria
J Xu, B Tang, H He, H Man
IEEE transactions on neural networks and learning systems 28 (9), 1974-1984, 2016
KernelADASYN: Kernel Based Adaptive Synthetic Data Generation for Imbalanced Learning
B Tang, H He
IEEE Congress on Evolutionary Computation (CEC), 2015
GIR-based ensemble sampling approaches for imbalanced learning
B Tang, H He
Pattern Recognition 71, 306-319, 2017
Turn prediction at generalized intersections
B Tang, S Khokhar, R Gupta
2015 IEEE Intelligent Vehicles Symposium (IV), 1399-1404, 2015
A Parametric Classification Rule Based on the Exponentially Embedded Family
B Tang, H He, Q Ding, S Kay
IEEE Transactions on Neural Networks and Learning Systems 26 (2), 367-377, 2015
Detection of false data attacks in smart grid with supervised learning
J Yan, B Tang, H He
2016 International Joint Conference on Neural Networks (IJCNN), 1395-1402, 2016
Detection of false data injection attacks in smart grid under colored Gaussian noise
B Tang, J Yan, S Kay, H He
2016 IEEE Conference on Communications and Network Security (CNS), 172-179, 2016
Human mobility modeling for robot-assisted evacuation in complex indoor environments
B Tang, C Jiang, H He, Y Guo
IEEE Transactions on Human-Machine Systems 46 (5), 694-707, 2016
Power grid resilience against false data injection attacks
J Yan, Y Tang, B Tang, H He, Y Sun
2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016
Probability density function estimation using the EEF with application to subset/feature selection
S Kay, Q Ding, B Tang, H He
IEEE Transactions on Signal Processing 64 (3), 641-651, 2015
Reflex-Tree: A Biologically Inspired Parallel Architecture for Future Smart Cities
QY Jason Kane, Bo Tang, Zhen Chen, Jun Yan, Tao Wei, Haibo He
International Conference on Parallel Processing (ICPP), 2015
BULDP: biomimetic uncorrelated locality discriminant projection for feature extraction in face recognition
X Ning, W Li, B Tang, H He
IEEE Transactions on Image Processing 27 (5), 2575-2586, 2018
An imbalanced learning based MDR-TB early warning system
S Li, B Tang, H He
Journal of medical systems 40 (7), 164, 2016
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