Bo Tang

Orcid: 0000-0001-5708-766X

Affiliations:
  • Worcester Polytechnic Institute, Department of Electrical and Computer Engineering, MA, USA
  • Mississippi State University, Starkville, MS, USA
  • Hofstra University, Department of Computer Science, Hempstead, NY, USA (former)
  • University of Rhode Island, Kingston, RI, USA (PhD 2016)


According to our database1, Bo Tang authored at least 122 papers between 2014 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Advanced AI Service Provisioning in O-RAN through LLM Engine Integration.
CoRR, May, 2026

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents.
CoRR, May, 2026

MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs.
CoRR, May, 2026

MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval.
CoRR, May, 2026

MemReader: From Passive to Active Extraction for Long-Term Agent Memory.
CoRR, April, 2026

Long- and Short-Term Constraint-Driven Safe Reinforcement Learning for Autonomous Driving.
IEEE Trans. Syst. Man Cybern. Syst., March, 2026

Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis.
CoRR, March, 2026

Efficient Anti-exploration via VQVAE and Fuzzy Clustering in Offline Reinforcement Learning.
CoRR, February, 2026

AI-Driven Fuzzing for Vulnerability Assessment of 5G Traffic Steering Algorithms.
CoRR, January, 2026

FairShare: Auditable Geographic Fairness for Multi-Operator LEO Spectrum Sharing.
CoRR, January, 2026

Inside Out: Evolving User-Centric Core Memory Trees for Long-Term Personalized Dialogue Systems.
CoRR, January, 2026

MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory.
CoRR, January, 2026

Local-CGFC: A Local Cumulant Generating Function Classification Rule.
IEEE Signal Process. Lett., 2026

Online Learning-based Adaptive Beam Switching for 6G Networks: Enhancing Efficiency and Resilience.
Proceedings of the International Conference on Computing, Networking and Communications, 2026

SliceFed: Federated Constrained Multi-Agent DRL for Dynamic Spectrum Slicing in 6G.
Proceedings of the IEEE International Symposium on Spectrum Innovation, 2026

Secure mmWave Beamforming with Proactive-ISAC Defense Against Beam-Stealing Attacks.
Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

Adaptive Beamforming for Interference-Limited MU-MIMO using Spatio-Temporal Policy Networks.
Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

TAdaRAG: Task Adaptive Retrieval-Augmented Generation via On-the-Fly Knowledge Graph Construction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
HaluMem: Evaluating Hallucinations in Memory Systems of Agents.
CoRR, November, 2025

G-Mix: A Generalized Mixup Learning Framework Toward Flat Minima.
IEEE Trans. Artif. Intell., July, 2025

MemOS: A Memory OS for AI System.
CoRR, July, 2025

MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models.
CoRR, May, 2025

Mobile Jamming Mitigation in 5G Networks: A MUSIC-Based Adaptive Beamforming Approach.
CoRR, May, 2025

xVerify: Efficient Answer Verifier for Reasoning Model Evaluations.
CoRR, April, 2025

SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models.
CoRR, March, 2025

SurveyX: Academic Survey Automation via Large Language Models.
CoRR, February, 2025

O-RAN Performance Analyzer: Platform Design, Development, and Deployment.
IEEE Commun. Mag., February, 2025

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model.
CoRR, January, 2025

A Nonparametric Data-Driven Classifier Based on the Cumulant Generating Function.
IEEE Trans. Signal Process., 2025

Attention heads of large language models.
Patterns, 2025

A MUSIC-Based Adaptive Beamforming Approach for Mobile Jamming Mitigation in 5G Networks.
Proceedings of the IEEE Military Communications Conference, 2025

xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Effect of the Mollifying Factor on the Cumulant Generating Function Classifier.
Proceedings of the 2025 5th International Conference on Electrical, 2025

Retrieval-Augmented Multilingual Citation Generation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Adversarial Preference Learning for Robust LLM Alignment.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Lifelong Learning With Cycle Memory Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

AdaER: An adaptive experience replay approach for continual lifelong learning.
Neurocomputing, March, 2024

How Simulation Helps Autonomous Driving: A Survey of Sim2real, Digital Twins, and Parallel Intelligence.
IEEE Trans. Intell. Veh., January, 2024

FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation.
IEEE Trans. Cybern., January, 2024

Attention Heads of Large Language Models: A Survey.
CoRR, 2024

Memory<sup>3</sup>: Language Modeling with Explicit Memory.
CoRR, 2024

DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning.
CoRR, 2024

Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning.
CoRR, 2024

xFinder: Robust and Pinpoint Answer Extraction for Large Language Models.
CoRR, 2024

MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning.
CoRR, 2024

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving.
CoRR, 2024

NewsBench: Systematic Evaluation of LLMs for Writing Proficiency and Safety Adherence in Chinese Journalistic Editorial Applications.
CoRR, 2024

Grimoire is All You Need for Enhancing Large Language Models.
CoRR, 2024

RANFusion: A Comprehensive Tool for Simulating Handover In Next-G RAN.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
On the Convergence of Multi-Server Federated Learning With Overlapping Area.
IEEE Trans. Mob. Comput., November, 2023

Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., November, 2023

AI Testing Framework for Next-G O-RAN Networks: Requirements, Design, and Research Opportunities.
IEEE Wirel. Commun., February, 2023

LoMar: A Local Defense Against Poisoning Attack on Federated Learning.
IEEE Trans. Dependable Secur. Comput., 2023

UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation.
CoRR, 2023

G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima.
CoRR, 2023

Sim2real and Digital Twins in Autonomous Driving: A Survey.
CoRR, 2023

Modeling multi-scale sub-group context for group activity recognition.
Appl. Intell., 2023

2022
Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation.
IEEE Trans. Neural Networks Learn. Syst., 2022

Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

CaT: CAVS Traversability Dataset for Off-Road Autonomous Driving.
IEEE Access, 2022

Soil Moisture Estimation Using Hyperspectral Imagery Based on Metric Learning.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Stragglers Are Not Disasters: A Hybrid Federated Learning Framework with Delayed Gradients.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Generalized Federated Learning via Sharpness Aware Minimization.
Proceedings of the International Conference on Machine Learning, 2022

2021
CSLM: Convertible Short-Term and Long-Term Memory in Differential Neural Computers.
IEEE Trans. Neural Networks Learn. Syst., 2021

Model-Driven Architecture of Extreme Learning Machine to Extract Power Flow Features.
IEEE Trans. Neural Networks Learn. Syst., 2021

Learning a Deep Cascaded Neural Network for Multiple Motion Commands Prediction in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2021

Parallel and Distributed Computing for Anomaly Detection From Hyperspectral Remote Sensing Imagery.
Proc. IEEE, 2021

FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation.
CoRR, 2021

Overcome Anterograde Forgetting with Cycled Memory Networks.
CoRR, 2021

Reviewing continual learning from the perspective of human-level intelligence.
CoRR, 2021

Learning by Active Forgetting for Neural Networks.
CoRR, 2021

Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients.
CoRR, 2021

Shape Estimation of Negative Obstacles for Autonomous Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Kernel-Based Edge-Preserving Methods for Abrupt Change Detection.
IEEE Signal Process. Lett., 2020

MCENN: A variant of extended nearest neighbor method for pattern recognition.
Pattern Recognit. Lett., 2020

Quantitative model of irrigation effect on maize yield by deep neural network.
Neural Comput. Appl., 2020

Recursive Multi-Scale Image Deraining With Sub-Pixel Convolution Based Feature Fusion and Context Aggregation.
IEEE Access, 2020

Data-Enabled Correlation Analysis between Wildfire and Climate using GIS.
Proceedings of the 3rd International Conference on Information and Computer Technologies, 2020

2019
Multi-Scale Rotation-Invariant Haar-Like Feature Integrated CNN-Based Ship Detection Algorithm of Multiple-Target Environment in SAR Imagery.
IEEE Trans. Geosci. Remote. Sens., 2019

Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving.
Sensors, 2019

Parallel Motion Planning: Learning a Deep Planning Model against Emergencies.
IEEE Intell. Transp. Syst. Mag., 2019

A Refined Bilateral Filtering Algorithm Based on Adaptively-Trimmed-Statistics for Speckle Reduction in SAR Imagery.
IEEE Access, 2019

Attention-based Domain Adaptation for Hyperspectral Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Linear Order Statistic Neuron.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
BULDP: Biomimetic Uncorrelated Locality Discriminant Projection for Feature Extraction in Face Recognition.
IEEE Trans. Image Process., 2018

A Generative Model for Sparse Hyperparameter Determination.
IEEE Trans. Big Data, 2018

Slim and Efficient Neural Network Design for Resource-Constrained SAR Target Recognition.
Remote. Sens., 2018

MILE: A minimally interactive learning framework for visual data analysis.
Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018

A learning-based cost management system for cloud computing.
Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018

Multi-layer Embedding Neural Architecture with External Memory for Large-Scale Text Categorization.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Semisupervised Feature Selection Based on Relevance and Redundancy Criteria.
IEEE Trans. Neural Networks Learn. Syst., 2017

Incorporating Intelligence in Fog Computing for Big Data Analysis in Smart Cities.
IEEE Trans. Ind. Informatics, 2017

GIR-based ensemble sampling approaches for imbalanced learning.
Pattern Recognit., 2017

A local density-based approach for outlier detection.
Neurocomputing, 2017

Kernel-based generative learning in distortion feature space.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

ADL: Active dictionary learning for sparse representation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Probability Density Function Estimation Using the EEF With Application to Subset/Feature Selection.
IEEE Trans. Signal Process., 2016

Toward Optimal Feature Selection in Naive Bayes for Text Categorization.
IEEE Trans. Knowl. Data Eng., 2016

A Bayesian Classification Approach Using Class-Specific Features for Text Categorization.
IEEE Trans. Knowl. Data Eng., 2016

Human Mobility Modeling for Robot-Assisted Evacuation in Complex Indoor Environments.
IEEE Trans. Hum. Mach. Syst., 2016

EEF: Exponentially Embedded Families With Class-Specific Features for Classification.
IEEE Signal Process. Lett., 2016

An Imbalanced Learning based MDR-TB Early Warning System.
J. Medical Syst., 2016

Adaptive Signal Detection and Parameter Estimation in Unknown Colored Gaussian Noise.
CoRR, 2016

FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization.
CoRR, 2016

A Local Density-Based Approach for Local Outlier Detection.
CoRR, 2016

Detection of false data attacks in smart grid with supervised learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Probabilistic human mobility model in indoor environment.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Detection of false data injection attacks in smart grid under colored Gaussian noise.
Proceedings of the 2016 IEEE Conference on Communications and Network Security, 2016

2015
A Parametric Classification Rule Based on the Exponentially Embedded Family.
IEEE Trans. Neural Networks Learn. Syst., 2015

ENN: Extended Nearest Neighbor Method for Pattern Recognition [Research Frontier].
IEEE Comput. Intell. Mag., 2015

Reflex-Tree: A Biologically Inspired Parallel Architecture for Future Smart Cities.
Proceedings of the 44th International Conference on Parallel Processing, 2015

KernelADASYN: Kernel based adaptive synthetic data generation for imbalanced learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A Hierarchical Distributed Fog Computing Architecture for Big Data Analysis in Smart Cities.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015

2014
Hybrid classification with partial models.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Experimental studies on indoor sign recognition and classification.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014


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