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ORCIDBo Tang 0011
Person information
- affiliation: Mississippi State University, Starkville, MS, USA
- affiliation (former): Hofstra University, Department of Computer Science, Hempstead, NY, USA
- affiliation (PhD 2016): University of Rhode Island, Kingston, RI, USA
Other persons with the same name
- Bo Tang — disambiguation page
- Bo Tang 0001 — Mississippi State University
- Bo Tang 0002
![[0000-0002-3130-6243]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3130-6243")
— Tsinghua University, Department of Electronic Engineering, Beijing, China (and 1 more) - Bo Tang 0003 — Shanghai Jiaotong University
- Bo Tang 0004 — University of Central Lancashire
- Bo Tang 0005 — University of Electronic Science and Technology of China, Chengdu
- Bo Tang 0006 — Xian Jiaotong University
- Bo Tang 0007 — National University of Defense Technology
- Bo Tang 0008 — Wuhan University of Science and Technology
- Bo Tang 0009 — Oxford University
- Bo Tang 0010 — University of Liverpool, Department of Computer Science, UK
- Bo Tang 0012 — University of Science and Technology Beijing, School of Computer and Communication Engineering, China (and 1 more)
- Bo Tang 0013 — University of Sheffield, Department of Economics, UK (and 1 more)
- Bo Tang 0014 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China
- Bo Tang 0015 — China Three Gorges University, College of Electrical Engineering and New Energy, Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, Yichang, China (and 1 more)
- Bo Tang 0016 — Southern University of Science and Technology, Shenzhen, Guangdong, China (and 1 more)
- Bo Tang 0017 — University of Toronto, Department of Mechanical and Industrial Engineering, ON, Canada (and 1 more)
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2020 – today
- 2024
[j35]Xingyu Li, Bo Tang, Haifeng Li:
AdaER: An adaptive experience replay approach for continual lifelong learning. Neurocomputing 572: 127204 (2024)- [j34]Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu:
FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation. IEEE Trans. Cybern. 54(1): 401-414 (2024) - [j33]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): 593-612 (2024) - [j32]Jian Peng, Dingqi Ye, Bo Tang, Yinjie Lei, Yu Liu, Haifeng Li:
Lifelong Learning With Cycle Memory Networks. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16439-16452 (2024) - [i24]Xuemin Hu, Pan Chen, Yijun Wen, Bo Tang, Long Chen:
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving. CoRR abs/2403.18209 (2024) - [i23]Xingyu Li, Bo Tang:
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning. CoRR abs/2405.09492 (2024) - [i22]Xuemin Hu, Shen Li, Yingfen Xu, Bo Tang, Long Chen:
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning. CoRR abs/2406.09089 (2024) - 2023
- [j31]Xingyu Li, Zhe Qu, Shangqing Zhao, Bo Tang, Zhuo Lu, Yao Liu:
LoMar: A Local Defense Against Poisoning Attack on Federated Learning. IEEE Trans. Dependable Secur. Comput. 20(1): 437-450 (2023) - [j30]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): 11921-11933 (2023) - [j29]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): 6647-6662 (2023) - [j28]Bo Tang, Vijay K. Shah, Vuk Marojevic, Jeffrey H. Reed:
AI Testing Framework for Next-G O-RAN Networks: Requirements, Design, and Research Opportunities. IEEE Wirel. Commun. 30(1): 70-77 (2023) - [i21]Xuemin Hu, Shen Li, Tingyu Huang, Bo Tang, Long Chen:
Sim2real and Digital Twins in Autonomous Driving: A Survey. CoRR abs/2305.01263 (2023) - [i20]Xingyu Li, Bo Tang:
G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima. CoRR abs/2308.03236 (2023) - [i19]Xingyu Li, Bo Tang, Haifeng Li:
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning. CoRR abs/2308.03810 (2023) - 2022
- [j27]Suvash Sharma, Lalitha Dabbiru, Tyler Hannis, George Mason, Daniel W. Carruth, Matthew Doude, Christopher Goodin, Christopher R. Hudson, Sam Ozier, John E. Ball, Bo Tang:
CaT: CAVS Traversability Dataset for Off-Road Autonomous Driving. IEEE Access 10: 24759-24768 (2022) - [j26]Long Chen, Xuemin Hu, Bo Tang, Yu Cheng:
Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(4): 2966-2977 (2022) - [j25]Jian Peng, Bo Tang, Hao Jiang, Zhuo Li, Yinjie Lei, Tao Lin, Haifeng Li:
Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4243-4256 (2022) - [c18]Zhe Qu, Xingyu Li, Rui Duan, Yao Liu, Bo Tang, Zhuo Lu:
Generalized Federated Learning via Sharpness Aware Minimization. ICML 2022: 18250-18280 - [c17]Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu:
Stragglers Are Not Disasters: A Hybrid Federated Learning Framework with Delayed Gradients. ICMLA 2022: 727-732 - [c16]Bo Tang, Weiwei Xie, Qingmin Meng, Robert J. Moorhead, Gary Feng:
Soil Moisture Estimation Using Hyperspectral Imagery Based on Metric Learning. ICMLA 2022: 1392-1396 - [i18]Xingyu Li, Zhe Qu, Shangqing Zhao, Bo Tang, Zhuo Lu, Yao Liu:
LoMar: A Local Defense Against Poisoning Attack on Federated Learning. CoRR abs/2201.02873 (2022) - [i17]Zhe Qu, Xingyu Li, Rui Duan, Yao Liu, Bo Tang, Zhuo Lu:
Generalized Federated Learning via Sharpness Aware Minimization. CoRR abs/2206.02618 (2022) - [i16]Zhe Qu, Xingyu Li, Jie Xu, Bo Tang, Zhuo Lu, Yao Liu:
On the Convergence of Multi-Server Federated Learning with Overlapping Area. CoRR abs/2208.07893 (2022) - [i15]Bo Tang, Vijay K. Shah, Vuk Marojevic, Jeffrey H. Reed:
AI Testing Framework for Next-G O-RAN Networks: Requirements, Design, and Research Opportunities. CoRR abs/2211.03979 (2022) - 2021
- [j24]Qian Du, Bo Tang, Weiying Xie, Wei Li:
Parallel and Distributed Computing for Anomaly Detection From Hyperspectral Remote Sensing Imagery. Proc. IEEE 109(8): 1306-1319 (2021) - [j23]Xuemin Hu, Bo Tang, Long Chen, Sheng Song, Xiuchi Tong:
Learning a Deep Cascaded Neural Network for Multiple Motion Commands Prediction in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 22(12): 7585-7596 (2021) - [j22]Shiming Xiang, Bo Tang:
CSLM: Convertible Short-Term and Long-Term Memory in Differential Neural Computers. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4026-4038 (2021) - [j21]Qian Gao, Zhifang Yang, Juan Yu, Wei Dai, Xingyu Lei, Bo Tang, Kaigui Xie, Wenyuan Li:
Model-Driven Architecture of Extreme Learning Machine to Extract Power Flow Features. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4680-4690 (2021) - [c15]Viswadeep Lebakula, Bo Tang, Christopher Goodin, Cindy L. Bethel:
Shape Estimation of Negative Obstacles for Autonomous Navigation. IROS 2021: 4525-4531 - [i14]Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu:
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients. CoRR abs/2102.06329 (2021) - [i13]Jian Peng, Xian Sun, Min Deng, Chao Tao, Bo Tang, Wenbo Li, Guohua Wu, Qing Zhu, Yu Liu, Tao Lin, Haifeng Li:
Learning by Active Forgetting for Neural Networks. CoRR abs/2111.10831 (2021) - [i12]Yifan Chang, Wenbo Li, Jian Peng, Bo Tang, Yu Kang, Yinjie Lei, Yuanmiao Gui, Qing Zhu, Yu Liu, Haifeng Li:
Reviewing continual learning from the perspective of human-level intelligence. CoRR abs/2111.11964 (2021) - [i11]Jian Peng, Dingqi Ye, Bo Tang, Yinjie Lei, Yu Liu, Haifeng Li:
Overcome Anterograde Forgetting with Cycled Memory Networks. CoRR abs/2112.02342 (2021) - [i10]Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu:
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation. CoRR abs/2112.11989 (2021) - 2020
- [j20]Suvash Sharma, Bo Tang, John E. Ball, Daniel W. Carruth, Lalitha Dabbiru:
Recursive Multi-Scale Image Deraining With Sub-Pixel Convolution Based Feature Fusion and Context Aggregation. IEEE Access 8: 177495-177505 (2020) - [j19]Bo Tang, Haibo He, Song Zhang:
MCENN: A variant of extended nearest neighbor method for pattern recognition. Pattern Recognit. Lett. 133: 116-122 (2020) - [j18]Shiming Xiang, Bo Tang:
Kernel-Based Edge-Preserving Methods for Abrupt Change Detection. IEEE Signal Process. Lett. 27: 86-90 (2020) - [j17]Robiulhossain Mdrafi, Qian Du, Ali Cafer Gürbüz, Bo Tang, Li Ma, Nicolas H. Younan:
Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6424-6433 (2020) - [c14]Weiwei Xie, Mingyan He, Bo Tang:
Data-Enabled Correlation Analysis between Wildfire and Climate using GIS. ICICT 2020: 31-35
2010 – 2019
- 2019
- [j16]Long Chen, Xuemin Hu, Bo Tang, Dongpu Cao:
Parallel Motion Planning: Learning a Deep Planning Model against Emergencies. IEEE Intell. Transp. Syst. Mag. 11(1): 36-41 (2019) - [j15]Suvash Sharma, John E. Ball, Bo Tang, Daniel W. Carruth, Matthew Doude, Muhammad Aminul Islam:
Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving. Sensors 19(11): 2577 (2019) - [c13]Robiul Hossain Md. Rafi, Bo Tang, Qian Du, Nicolas H. Younan:
Attention-based Domain Adaptation for Hyperspectral Image Classification. IGARSS 2019: 67-70 - [i9]Jian Peng, Bo Tang, Hao Jiang, Zhuo Li, Yinjie Lei, Tao Lin, Haifeng Li:
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation. CoRR abs/1912.09091 (2019) - 2018
- [j14]Zhiqiang Wan, Haibo He, Bo Tang:
A Generative Model for Sparse Hyperparameter Determination. IEEE Trans. Big Data 4(1): 2-10 (2018) - [j13]Xin Ning, Weijun Li, Bo Tang, Haibo He:
BULDP: Biomimetic Uncorrelated Locality Discriminant Projection for Feature Extraction in Face Recognition. IEEE Trans. Image Process. 27(5): 2575-2586 (2018) - [c12]Quan Ding, Bo Tang, Prakash Manden, Jin Ren:
A learning-based cost management system for cloud computing. CCWC 2018: 362-367 - [c11]Bo Tang, Haibo He:
MILE: A minimally interactive learning framework for visual data analysis. CCWC 2018: 754-762 - 2017
- [j12]Bo Tang, Haibo He:
A local density-based approach for outlier detection. Neurocomputing 241: 171-180 (2017) - [j11]Bo Tang, Haibo He:
GIR-based ensemble sampling approaches for imbalanced learning. Pattern Recognit. 71: 306-319 (2017) - [j10]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): 2140-2150 (2017) - [j9]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): 1974-1984 (2017) - [c10]Bo Tang, Jin Xu, Haibo He, Hong Man:
ADL: Active dictionary learning for sparse representation. IJCNN 2017: 2723-2729 - [c9]Bo Tang, Paul M. Baggenstoss, Haibo He:
Kernel-based generative learning in distortion feature space. SSCI 2017: 1-8 - 2016
- [j8]Sheng Li, Bo Tang, Haibo He:
An Imbalanced Learning based MDR-TB Early Warning System. J. Medical Syst. 40(7): 164:1-164:9 (2016) - [j7]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): 969-973 (2016) - [j6]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): 694-707 (2016) - [j5]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): 1602-1606 (2016) - [j4]Bo Tang, Steven Kay, Haibo He:
Toward Optimal Feature Selection in Naive Bayes for Text Categorization. IEEE Trans. Knowl. Data Eng. 28(9): 2508-2521 (2016) - [j3]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): 641-651 (2016) - [c8]Bo Tang, Jun Yan, Steven Kay, Haibo He:
Detection of false data injection attacks in smart grid under colored Gaussian noise. CNS 2016: 172-179 - [c7]Jun Yan, Bo Tang, Haibo He:
Detection of false data attacks in smart grid with supervised learning. IJCNN 2016: 1395-1402 - [c6]Bo Tang, Chao Jiang, Haibo He, Yi Guo:
Probabilistic human mobility model in indoor environment. IJCNN 2016: 1601-1608 - [i8]Bo Tang, Steven Kay, Haibo He:
Toward Optimal Feature Selection in Naive Bayes for Text Categorization. CoRR abs/1602.02850 (2016) - [i7]Bo Tang, Steven Kay, Haibo He, Paul M. Baggenstoss:
EEF: Exponentially Embedded Families with Class-Specific Features for Classification. CoRR abs/1605.03631 (2016) - [i6]Bo Tang, Haibo He:
FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization. CoRR abs/1606.06366 (2016) - [i5]Bo Tang, Paul M. Baggenstoss, Haibo He:
Kernel-based Generative Learning in Distortion Feature Space. CoRR abs/1606.06377 (2016) - [i4]Bo Tang, Chao Jiang, Haibo He, Yi Guo:
Probabilistic Human Mobility Model in Indoor Environment. CoRR abs/1606.08528 (2016) - [i3]Bo Tang, Haibo He:
A Local Density-Based Approach for Local Outlier Detection. CoRR abs/1606.08538 (2016) - [i2]Bo Tang, Jun Yan, Steven Kay, Haibo He:
Detection of False Data Injection Attacks in Smart Grid under Colored Gaussian Noise. CoRR abs/1607.06015 (2016) - [i1]Bo Tang, Haibo He, Steven Kay:
Adaptive Signal Detection and Parameter Estimation in Unknown Colored Gaussian Noise. CoRR abs/1607.08259 (2016) - 2015
- [j2]Bo Tang, Haibo He:
ENN: Extended Nearest Neighbor Method for Pattern Recognition [Research Frontier]. IEEE Comput. Intell. Mag. 10(3): 52-60 (2015) - [j1]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): 367-377 (2015) - [c5]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: 28:1-28:6 - [c4]Bo Tang, Haibo He:
KernelADASYN: Kernel based adaptive synthetic data generation for imbalanced learning. CEC 2015: 664-671 - [c3]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: 360-369 - 2014
- [c2]Zhen Ni, Siyao Fu, Bo Tang, Haibo He, Xinming Huang:
Experimental studies on indoor sign recognition and classification. CIDM 2014: 489-494 - [c1]Bo Tang, Quan Ding, Haibo He, Steven Kay:
Hybrid classification with partial models. IJCNN 2014: 3726-3731
Coauthor Index
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