- M. Kouchaki, S. Natanzi, Bo Tang, V. Marojevic. O-RAN Performance Analyzer with Sample-Collector xApp: Platform Design, Development, and Deployment. IEEE Wireless Communications Magazine, In Press, 2024.
- X. Li, Bo Tang. G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima. IEEE Trans. on Artificial Intelligence, In Press, 2024.
- X. Li, Bo Tang. AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning. Neurocomputing, In Press, 2024.
- X. Hu, S. Li, T. Huang, Bo Tang, etc. How Simulation Helps Autonomous Driving: A Survey of Sim2real, Digital Twins, and Parallel Intelligence. IEEE Transactions on Intelligent Vehicles, Accepted, 2023. [Impact Factor: 11.8]
- J. Peng, D. Ye, Bo Tang, W. Li, Y. Lei, H. Li. Overcome Anterograde Forgetting with Cycle Memory Networks. IEEE Trans. on Neural Networks and Learning Systems, Accepted, 2023. [Impact Factor: ]
- X. Hu, Y. Liu, Bo Tang, J. Yan, and L. Chen. Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving. IEEE Trans. on Intelligent Transportation Systems, In Press, 2023. [Impact Factor: ]
- X. Li, Q. Zhe, Bo Tang, FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation. IEEE Trans. on Cybernetics, In Press, 2023. [Impact Factor: ]
- Bo Tang, V. Shah, V. Marojevic, and J. Reed. AI Testing Framework for Next-G O-RAN Networks: Requirements, Design, and Research Opportunities. IEEE Wireless Communication Magazine, In Press, 2022. [Impact Factor: ]
- Q. Zhe, X. Li, J. Xu, Bo Tang, Z. Lu. On the Convergence of Multi-Server Federated Learning with Overlapping Area. IEEE Trans. on Mobile Computing (TMC), In Press, 2022.
- J. Peng, X. Sun, M. Deng, C. Tao, Bo Tang, et al. Learning by Active Forgetting for Neural Networks. arXiv preprint arXiv:2111.10831., 2021.
- X. Li, Q. Zhe, Bo Tang, and Z. Lu. LoMar: A Local Defense Against Poisoning Attack on Federated Learning. IEEE Trans. on Dependable and Secure Computing (TDSC), In Press, 2021. [Impact Factor: 7.329]
- Q. Du, Bo Tang, W. Xie, and W. Li. Parallel and Distributed Computing for Anomaly Detection from Hyperspectral Remote Sensing Imagery. Proceedings of IEEE, In Press, 2021. [Impact Factor: 10.252]
- J. Peng, H. Li, Bo Tang. Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation. IEEE Trans. on Neural Networks and Learning Systems, In Press, 2021. [Impact Factor: ]
- Q. Gao, Z. Yang, J. Yu, W. Dai, X. Lei, Bo Tang, K. Xie, and W. Li. Model-Driven Architecture of Extreme Learning Machine to Extract Power Flow Features. IEEE Trans. on Neural Networks and Learning Systems, 32, no. 10 (2020): 4680-4690. [Impact Factor: ]
- L. Chen, X. Hu, Bo Tang and Y. Cheng. Conditional DQN-based Motion Planning with Fuzzy Logic for Autonomous Driving. IEEE Trans. on Intelligent Transportation Systems, In Press, 2020. [Impact Factor: ]
- S. Sharma, Bo Tang, J. Ball, D. CARRUTH, and L. Dabbiru. Recursive Multi-Scale Image Deraining with Sub-Pixel Convolution Based Feature Fusion and Context Aggregation. IEEE Access, In Press, 2020. [Impact Factor: ]
- S. Xiang and Bo Tang. CSLM: Convertible Short-term and Long-term Memory in Differential Neural Computers. IEEE Trans. on Neural Networks and Learning Systems, In Press, 2020. [Impact Factor: ]
- Bo Tang, H. He, and S. Zhang. MCENN: A Variant of Extended Nearest Neighbor Method for Pattern Recognition. Pattern Recognition Letters, In Press, 2019. [Impact Factor: ]
- S. Xiang and Bo Tang. Kernel-based Edge-Preserving Methods for Abrupt Change Detection. IEEE Signal Processing Letters, In Press 2019. [Impact Factor: ]
- X. Hu, Bo Tang, S. Song, and X. Tong. Learning A Deep Cascaded Neural Network for Multiple Motion Commands Prediction in Autonomous Driving. Mechanical Systems and Signal Processing, In Submission 2019. [Impact Factor: ]
- J. Ai, R. Tian, X. Yang, J. Zhao, J. Jin, and Bo Tang. Multi-Scale Rotation-Invariant Haar-Like Feature Integrated CNN based Ship Detection Algorithm of Multiple-Target Environment in SAR Imagery. IEEE Transactions on Geoscience and Remote Sensing, 57(12), pp.10070-10087, 2019. [Impact Factor: ]
- B. Saravi, P. Nejadhashemi, and Bo Tang. Quantitative Model of Irrigation Effect on Maize Yield by Deep Neural Network. Neural Computing and Applications, In Press 2019. [Impact Factor: ]
- J. Ball and Bo Tang. Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS). Electronics, Editoral Paper, In Press 2019.
- J. Ai, R. Liu, Bo Tang, L. Jia, J. Zhao, F. Zhou. A Refined Bilateral Filtering Algorithm based on Adaptively-Trimmed-Statistics for Speckle Reduction in SAR Imagery. IEEE Access, In Press 2019. [Impact Factor: ]
- X. Li, Bo Tang, J. Ball, M. Doude, D. Carruth. Rollover-Free Path Planning for Off-Road Autonomous Driving. Electronics, In Press 2019.
- S. Sharma, Bo Tang, J. Ball, M. Doude, D. Carruth, M. Islam. Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving. Sensors, In Press 2019.
- L. Chen, X. Hu, Bo Tang and D. Cao. Parallel Motion Planning: Learning a Deep Planning Model Against Emergencies. IEEE Intelligent Transportation Systems Magazine, In Press, 2018. [Impact Factor: 5.293]
- H. Chen, F. Zhang, Bo Tang, Q. Yin, X. Sun. Slim and Efficient Neural Network Design for Recourse-Constrained SAR . Remote Sensing, In Press, 2018.
- X. Ning, W. Li, Bo
Tang and H. He. BULDP: Biomimetic Uncorrelated Locality
Discriminant Projection for Feature Extraction in Face Recognition. IEEE Trans. on Image Processing (TIP),
In Press, 2018. [Impact Factor: ]
- X. Hu, L. Chen, Bo
Tang, Dongpu Cao, and H. He. Dynamic Path Planning
for Autonomous
Driving on Various Roads with Avoidance of Static and Moving Obstacles.
In Mechanical Systems and Signal Processing, ,
vol 100, pp. 482-500, 2018. [Impact Factor: ]
- Bo
Tang
and H. He. GIR: An Intra-class Coherence based Sampling Approach for
Imbalanced Learning. Pattern Recognition, vol. 71, pp. 306-319, 2017. [Impact Factor: ]
- Z. Wan, H. He, and Bo
Tang. A Generative Model for Sparse Hyper-Parameter Determination. IEEE Trans. on Big Data, 2017, In Press.
- Bo
Tang,
Z. Chen, T.Wei, H.
He and Q. Yang. Incorporating Intelligence in Fog Computing for Big
Data Analysis in Smart Cities. IEEE
Trans. on Industrial Informatics, 2017, In Press. [Impact Factor: ]
- Bo
Tang and H. He. A Local Density-Based Approach
for Local Outlier Detection.
Neurocomputing, vol. 241, pp. 171-180, 2017.
- J. Xu, Bo
Tang, H. He and H. Man. Semi-Supervised Feature Selection
Based on Relevance and Redundancy Criteria. IEEE Trans. on Neural Networks and Learning Systems (TNNLS), 2016. In Press. [Impact Factor: ]
- Bo Tang,
C. Jiang, H. He and Y. Guo. Human Mobility Modeling for Robot-Assisted
Evacuation in Complex Indoor Environments. IEEE Trans. on Human-Machine
Systems (THMS), vol. 46, no. 5, pp. 694-707, 2016. [Impact Factor: ]
- Bo Tang,
H. He, P.
M. Baggenstoss and S. Kay. A Bayesian Classification Approach Using
Class-Specific Features for Text Categorization. IEEE Trans. on
Knowledge and
Data Engineering (TKDE), vol. 28, no. 6, pp. 1602-1606, 2016. [Impact Factor: ]
- Bo
Tang,
S. Kay, H. He and P. M. Baggenstoss. EEF: Exponentially Embedded Families with Class-Specific Features for Classification. IEEE Signal Processing
Letters, vol. 23, no. 7, pp. 969-973, 2016. [Impact Factor: 5.23]
- L. Shen, Bo
Tang and H. He. An Imbalanced Learning based MDR-TB Early
Warning System. Journal
of Medical Systems, vol. 40, no. 7, pp. 164-173, 2016.
- Bo Tang,
S. Kay and H. He. Toward Optimal Feature Selection in Naive Bayes for
Text Categorization. IEEE
Trans. on Knowledge and Data Engineering (TKDE), vol. 28, no. 9, pp. 2508-2521, 2016. [Impact Factor: ]
- S. Kay, Q. Ding, Bo
Tang and H. He.
Probability Density Function Estimation using the EEF with Application
to Subset/Feature Selection. IEEE
Trans. on
Signal Processing (TSP), vol.64, no.3,
pp.641-651,
2016. [Impact Factor: ]
- Bo Tang,
H. He, S. Kay and Q. Ding. A Parametric Classification Rule Based on
the Exponentially Embedded Family. IEEE Trans. on Neural
Networks
and Learning Systems (TNNLS), vol.26, no.2,
pp.367-377,
2015, (IEEE
CIM Publication
Spotlight Paper). [Impact Factor: ]
- Bo Tang
and H. He. ENN: Extended Nearest Neighbor Method for Multivariate
Pattern Classification. IEEE
Computational Intelligence Magazine (CIM),
vol.10, no.3,
pp.52-60, 2015, (Research
Frontier Paper) [Impact Factor: ]
- Y. Dong,
L. Zhou, Bo Tang,
X. Liang and C. Ding. Design of Real-Time Signal Processing Platform for Airborne SAR Imaging. Journal of
Systems Engineering and Electronics, vol.31, no.8,
pp.1882-1886, 2009.
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