Bo Tang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Topics

Feature Selection

Data Generation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Knowl. Data Eng.

Publications

Xingyu Li, Bo Tang, Haifeng Li
AdaER: An adaptive experience replay approach for continual lifelong learning. Neurocomputing 572 (2024)
Xuemin Hu, Pan Chen, Yijun Wen, Bo Tang, Long Chen
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving. CoRR (2024)
Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu
FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation. IEEE Trans. Cybern. 54 (1) (2024)
Xuemin Hu, Shen Li, Yingfen Xu, Bo Tang, Long Chen
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning. CoRR (2024)
Xingyu Li, Bo Tang
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning. CoRR (2024)
Xuemin Hu, Shen Li, Tingyu Huang, Bo Tang, Rouxing Huai, Long Chen
How Simulation Helps Autonomous Driving: A Survey of Sim2real, Digital Twins, and Parallel Intelligence. IEEE Trans. Intell. Veh. 9 (1) (2024)
Xingyu Li, Bo Tang
G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima. CoRR (2023)
Xuemin Hu, Yanfang Liu, Bo Tang, Junchi Yan, Long Chen
Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
Xingyu Li, Bo Tang, Haifeng Li
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning. CoRR (2023)
Zhe Qu, Xingyu Li, Jie Xu, Bo Tang, Zhuo Lu, Yao Liu
On the Convergence of Multi-Server Federated Learning With Overlapping Area. IEEE Trans. Mob. Comput. 22 (11) (2023)
Quan Ding, Bo Tang, Prakash Manden, Jin Ren
A learning-based cost management system for cloud computing. CCWC (2018)
Bo Tang, Jin Xu, Haibo He, Hong Man
ADL: Active dictionary learning for sparse representation. IJCNN (2017)
Bo Tang, Paul M. Baggenstoss, Haibo He
Kernel-based generative learning in distortion feature space. SSCI (2017)
Jin Xu, Bo Tang, Haibo He, Hong Man
Semisupervised Feature Selection Based on Relevance and Redundancy Criteria. IEEE Trans. Neural Networks Learn. Syst. 28 (9) (2017)
Bo Tang, Haibo He
A local density-based approach for outlier detection. Neurocomputing 241 (2017)
Bo Tang, Haibo He
GIR-based ensemble sampling approaches for imbalanced learning. Pattern Recognit. 71 (2017)
Bo Tang, Zhen Chen, Gerald Hefferman, Shuyi Pei, Tao Wei, Haibo He, Qing Yang
Incorporating Intelligence in Fog Computing for Big Data Analysis in Smart Cities. IEEE Trans. Ind. Informatics 13 (5) (2017)
Bo Tang, Jun Yan, Steven Kay, Haibo He
Detection of False Data Injection Attacks in Smart Grid under Colored Gaussian Noise. CoRR (2016)
Bo Tang, Chao Jiang, Haibo He, Yi Guo
Probabilistic Human Mobility Model in Indoor Environment. CoRR (2016)
Bo Tang, Paul M. Baggenstoss, Haibo He
Kernel-based Generative Learning in Distortion Feature Space. CoRR (2016)
Bo Tang, Steven Kay, Haibo He
Toward Optimal Feature Selection in Naive Bayes for Text Categorization. CoRR (2016)
Bo Tang, Chao Jiang, Haibo He, Yi Guo
Human Mobility Modeling for Robot-Assisted Evacuation in Complex Indoor Environments. IEEE Trans. Hum. Mach. Syst. 46 (5) (2016)
Bo Tang, Haibo He
FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization. CoRR (2016)
Sheng Li, Bo Tang, Haibo He
An Imbalanced Learning based MDR-TB Early Warning System. J. Medical Syst. 40 (7) (2016)
Bo Tang, Haibo He, Paul M. Baggenstoss, Steven Kay
A Bayesian Classification Approach Using Class-Specific Features for Text Categorization. IEEE Trans. Knowl. Data Eng. 28 (6) (2016)
Jun Yan, Bo Tang, Haibo He
Detection of false data attacks in smart grid with supervised learning. IJCNN (2016)
Bo Tang, Steven Kay, Haibo He
Toward Optimal Feature Selection in Naive Bayes for Text Categorization. IEEE Trans. Knowl. Data Eng. 28 (9) (2016)
Bo Tang, Haibo He
A Local Density-Based Approach for Local Outlier Detection. CoRR (2016)
Steven Kay, Quan Ding, Bo Tang, Haibo He
Probability Density Function Estimation Using the EEF With Application to Subset/Feature Selection. IEEE Trans. Signal Process. 64 (3) (2016)
Bo Tang, Steven Kay, Haibo He, Paul M. Baggenstoss
EEF: Exponentially Embedded Families with Class-Specific Features for Classification. CoRR (2016)
Bo Tang, Chao Jiang, Haibo He, Yi Guo
Probabilistic human mobility model in indoor environment. IJCNN (2016)
Bo Tang, Jun Yan, Steven Kay, Haibo He
Detection of false data injection attacks in smart grid under colored Gaussian noise. CNS (2016)
Bo Tang, Steven Kay, Haibo He, Paul M. Baggenstoss
EEF: Exponentially Embedded Families With Class-Specific Features for Classification. IEEE Signal Process. Lett. 23 (7) (2016)
Bo Tang, Haibo He, Steven Kay
Adaptive Signal Detection and Parameter Estimation in Unknown Colored Gaussian Noise. CoRR (2016)
Bo Tang, Haibo He
ENN: Extended Nearest Neighbor Method for Pattern Recognition [Research Frontier]. IEEE Comput. Intell. Mag. 10 (3) (2015)
Bo Tang, Haibo He, Quan Ding, Steven Kay
A Parametric Classification Rule Based on the Exponentially Embedded Family. IEEE Trans. Neural Networks Learn. Syst. 26 (2) (2015)
Bo Tang, Haibo He
KernelADASYN: Kernel based adaptive synthetic data generation for imbalanced learning. CEC (2015)
Jason Kane, Bo Tang, Zhen Chen, Jun Yan, Tao Wei, Haibo He, Qing Yang
Reflex-Tree: A Biologically Inspired Parallel Architecture for Future Smart Cities. ICPP (2015)
Bo Tang, Zhen Chen, Gerald Hefferman, Tao Wei, Haibo He, Qing Yang
A Hierarchical Distributed Fog Computing Architecture for Big Data Analysis in Smart Cities. ASE BD&SI (2015)
Zhen Ni, Siyao Fu, Bo Tang, Haibo He, Xinming Huang
Experimental studies on indoor sign recognition and classification. CIDM (2014)
Bo Tang, Quan Ding, Haibo He, Steven Kay
Hybrid classification with partial models. IJCNN (2014)