| 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 | 433 | 2017 |
| 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, 1-6, 2015 | 426 | 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 | 351 | 2018 |
| A local density-based approach for outlier detection B Tang, H He Neurocomputing 241, 171-180, 2017 | 289 | 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 | 287 | 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 | 224 | 2016 |
| 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 | 168 | 2016 |
| Multi-scale rotation-invariant Haar-like feature integrated CNN-based ship detection algorithm of multiple-target environment in SAR imagery J Ai, R Tian, Q Luo, J Jin, B Tang IEEE Transactions on Geoscience and Remote Sensing 57 (12), 10070-10087, 2019 | 156 | 2019 |
| 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 | 153 | 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 | 135 | 2015 |
| Generalized federated learning via sharpness aware minimization Z Qu, X Li, R Duan, Y Liu, B Tang, Z Lu International conference on machine learning, 18250-18280, 2022 | 128 | 2022 |
| 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 | 122 | 2018 |
| KernelADASYN: Kernel Based Adaptive Synthetic Data Generation for Imbalanced Learning B Tang, H He IEEE Congress on Evolutionary Computation (CEC), 2015 | 118 | 2015 |
| Lomar: A local defense against poisoning attack on federated learning X Li, Z Qu, S Zhao, B Tang, Z Lu, Y Liu IEEE Transactions on Dependable and Secure Computing 20 (1), 437-450, 2021 | 97 | 2021 |
| Conditional DQN-based motion planning with fuzzy logic for autonomous driving L Chen, X Hu, B Tang, Y Cheng IEEE Transactions on Intelligent Transportation Systems 23 (4), 2966-2977, 2020 | 92 | 2020 |
| Semantic segmentation with transfer learning for off-road autonomous driving S Sharma, JE Ball, B Tang, DW Carruth, M Doude, MA Islam Sensors 19 (11), 2577, 2019 | 84 | 2019 |
| GIR-based ensemble sampling approaches for imbalanced learning B Tang, H He Pattern Recognition 71, 306-319, 2017 | 77 | 2017 |
| 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 | 65 | 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 | 58 | 2016 |
| Turn prediction at generalized intersections B Tang, S Khokhar, R Gupta 2015 IEEE Intelligent Vehicles Symposium (IV), 1399-1404, 2015 | 53 | 2015 |
Haibo HeUniversity of Rhode IslandDirección de correo verificada de uri.edu