Lei Jiao
Orcid: 0000-0002-7115-6489Affiliations:
- University of Agder, Department of Information and Communication Technology, Grimstad, Norway (PhD 2012)
- Shandong University, Jinan, China (former)
- Hunan University, Changsha, China (former)
According to our database1,
Lei Jiao
authored at least 111 papers
between 2009 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
2024
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy vs. Performance.
CoRR, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
2023
Pioneering approaches for enhancing the speed of hierarchical LA by <i>ordering</i> the actions.
Inf. Sci., November, 2023
Sensors, September, 2023
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023
The object migration automata: its field, scope, applications, and future research challenges.
Pattern Anal. Appl., August, 2023
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
Learning automata-based partitioning algorithms for stochastic grouping problems with non-equal partition sizes.
Pattern Anal. Appl., May, 2023
A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning.
Expert Syst. J. Knowl. Eng., May, 2023
User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution.
Pattern Anal. Appl., February, 2023
Convolutional Tsetlin Machine-based Training and Inference Accelerator for 2-D Pattern Classification.
Microprocess. Microsystems, 2023
Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning.
CoRR, 2023
CoRR, 2023
Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification.
CoRR, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application.
Proceedings of the Advances in Information Retrieval, 2023
Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Joint Computational and Wireless Resource Allocation in Multicell Collaborative Fog Computing Networks.
IEEE Trans. Wirel. Commun., 2022
Robust Transmission for Reconfigurable Intelligent Surface Aided Millimeter Wave Vehicular Communications With Statistical CSI.
IEEE Trans. Wirel. Commun., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions.
CoRR, 2022
Appl. Intell., 2022
Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines.
Appl. Intell., 2022
Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
A Comprehensive Survey of Estimator Learning Automata and Their Recent Convergence Results.
Proceedings of the Advances in Computing, Informatics, Networking and Cybersecurity, 2022
The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering Approach.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022
2021
Sensors, 2021
Computational Offloading in Mobile Edge with Comprehensive and Energy Efficient Cost Function: A Deep Learning Approach.
Sensors, 2021
Knowl. Based Syst., 2021
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook.
CoRR, 2021
CoRR, 2021
Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021
A Learning-Automata Based Solution for Non-equal Partitioning: Partitions with Common GCD Sizes.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 2021
Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 2021
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Network Slicing Enabled Resource Management for Service-Oriented Ultra-Reliable and Low-Latency Vehicular Networks.
IEEE Trans. Veh. Technol., 2020
A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton.
IEEE Trans. Neural Networks Learn. Syst., 2020
The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions.
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Commun., 2020
Dynamic Flow-Adaptive Spectrum Leasing with Channel Aggregation in Cognitive Radio Networks.
Sensors, 2020
Capacity driven small cell deployment in heterogeneous cellular networks: Outage probability and rate coverage analysis.
Trans. Emerg. Telecommun. Technol., 2020
CoRR, 2020
Performance analysis of user-centric SBS deployment with load balancing in heterogeneous cellular networks: A Thomas cluster process approach.
Comput. Networks, 2020
User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based Solution.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020
2019
Signal Process. Image Commun., 2019
A novel faster failure detection strategy for link connectivity using Hello messaging in mobile ad hoc networks.
Int. J. Ad Hoc Ubiquitous Comput., 2019
Hierarchical evolutionary game based dynamic cloudlet selection and bandwidth allocation for mobile cloud computing environment.
IET Commun., 2019
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications.
IEEE Access, 2019
A Deep Learning Approach for Energy Efficient Computational Offloading in Mobile Edge Computing.
IEEE Access, 2019
Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019
Proceedings of the Progress in Artificial Intelligence, 2019
Modelling of Compressors in an Industrial CO _2 -Based Operational Cooling System Using ANN for Energy Management Purposes.
Proceedings of the Engineering Applications of Neural Networks, 2019
2018
A Novel Dynamic Link Connectivity Strategy Using Hello Messaging for Maintaining Link Stability in MANETs.
Wirel. Commun. Mob. Comput., 2018
J. Syst. Sci. Complex., 2018
Performance analysis of underlay two-way relay cooperation in cognitive radio networks with energy harvesting.
Comput. Networks, 2018
A Learning Automaton-Based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids.
IEEE Access, 2018
Field Measurements and Parameter Calibrations of Propagation Model for Digital Audio Broadcasting in Norway.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character.
Proceedings of the Engineering Applications of Neural Networks, 2018
UDP flows in Cognitive Radios with Channel Aggregation and Fragmentation: A Test-bed Based Evaluation.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2018
2017
IEEE Wirel. Commun., 2017
IET Commun., 2017
Analysis of Load Balancing and Interference Management in Heterogeneous Cellular Networks.
IEEE Access, 2017
Scheduling Domestic Shiftable Loads in Smart Grids: A Learning Automata-Based Scheme.
Proceedings of the Smart Grid Inspired Future Technologies, 2017
2016
EURASIP J. Wirel. Commun. Netw., 2016
Appl. Intell., 2016
Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach.
Appl. Intell., 2016
Safeguarding the Ultra-dense Networks with the aid of Physical Layer Security: A review and a case study.
IEEE Access, 2016
Decoupled Downlink-Uplink Coverage Analysis with Interference Management for Enriched Heterogeneous Cellular Networks.
IEEE Access, 2016
Channel aggregation with guard-band in D-OFDM based CRNs: Modeling and performance evaluation.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2016
Analysis of interference avoidance with load balancing in heterogeneous cellular networks.
Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016
2015
Domestic demand predictions considering influence of external environmental parameters.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015
2014
On the Performance of Channel Assembling and Fragmentation in Cognitive Radio Networks.
IEEE Trans. Wirel. Commun., 2014
Channel Assembling with Priority-Based Queues in Cognitive Radio Networks: Strategies and Performance Evaluation.
IEEE Trans. Wirel. Commun., 2014
A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions.
Appl. Intell., 2014
Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms.
Proceedings of the Modern Advances in Applied Intelligence, 2014
A Bayesian Learning Automata-Based Distributed Channel Selection Scheme for Cognitive Radio Networks.
Proceedings of the Modern Advances in Applied Intelligence, 2014
2013
Capacity Upper Bound of Channel Assembling in Cognitive Radio Networks With Quasistationary Primary User Activities.
IEEE Trans. Veh. Technol., 2013
Distributed routing and channel allocation in multi-channel multi-hop ad hoc networks.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013
Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach.
Proceedings of the 24th IEEE Annual International Symposium on Personal, 2013
On Using the Theory of Regular Functions to Prove the <i>ε</i>-Optimality of the Continuous Pursuit Learning Automaton.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013
Proceedings of the Foundations and Practice of Security - 6th International Symposium, 2013
Proceedings of the European Wireless 2013, 2013
2012
Modeling and Performance Analysis of Channel Assembling in Multichannel Cognitive Radio Networks With Spectrum Adaptation.
IEEE Trans. Veh. Technol., 2012
Complexity analysis of spectrum access strategies with channel aggregation in CR networks.
Proceedings of the 2012 IEEE Global Communications Conference, 2012
A Markov Chain Model for Performance Analysis of VBR Voice using Multiple Thresholds.
Proceedings of the European Wireless 2012, 2012
2011
Greedy versus Dynamic Channel Aggregation Strategy in CRNs: Markov Models and Performance Evaluation.
Proceedings of the NETWORKING 2011 Workshops - International IFIP TC 6 Workshops, PE-CRN, 2011
Dynamic Channel Aggregation Strategies in Cognitive Radio Networks with Spectrum Adaptation.
Proceedings of the Global Communications Conference, 2011
2009
A Dynamic Parallel-rendezvous MAC Mechanism in Multi-rate Cognitive Radio Networks: MechanismDesign and Performance Evaluation.
J. Commun., 2009
Proceedings of the 69th IEEE Vehicular Technology Conference, 2009
Proceedings of the IEEE 20th International Symposium on Personal, 2009
A Single radio based channel datarate-aware parallel rendezvous MAC protocol for cognitive radio networks.
Proceedings of the 34th Annual IEEE Conference on Local Computer Networks, 2009