Fan-Lin Meng

Orcid: 0000-0002-4866-0011

According to our database1, Fan-Lin Meng authored at least 52 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A novel multivariate time-lag discrete grey model based on action time and intensities for predicting the productions in food industry.
Expert Syst. Appl., March, 2024

Process Knowledge-Guided Autonomous Evolutionary Optimization for Constrained Multiobjective Problems.
IEEE Trans. Evol. Comput., February, 2024

A Deep Learning-Based Sentiment Analysis Approach for Online Product Ranking With Probabilistic Linguistic Term Sets.
IEEE Trans. Engineering Management, 2024

2023
Learn to Rotate: Part Orientation for Reducing Support Volume via Generalizable Reinforcement Learning.
IEEE Trans. Ind. Informatics, December, 2023

The influence of factor-biased technological progress on the share of labour income in the digital economy.
Technol. Anal. Strateg. Manag., September, 2023

Addressing modern and practical challenges in machine learning: a survey of online federated and transfer learning.
Appl. Intell., May, 2023

Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation.
Neural Networks, April, 2023

Optimal economic dispatch policy for prosumer with energy storage considering self-consumption demand.
Comput. Ind. Eng., February, 2023

Increases or discounts: Price strategies based on customers' patience times.
Eur. J. Oper. Res., 2023

Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions.
CoRR, 2023

Optimal Allocation of PV Systems on Unbalanced Networks Using Evolutionary Algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

On Fine-Tuned Deep Features for Unsupervised Domain Adaptation.
Proceedings of the International Joint Conference on Neural Networks, 2023

FederatedNILM: A Distributed and Privacy-Preserving Framework for Non-Intrusive Load Monitoring Based on Federated Deep Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Snow Coverage Mapping by Learning from Sentinel-2 Satellite Multispectral Images via Machine Learning Algorithms.
Remote. Sens., 2022

A cloud-based and web-based group decision support system in multilingual environment with hesitant fuzzy linguistic preference relations.
Int. J. Intell. Syst., 2022

A benchmark for multi-class object counting and size estimation using deep convolutional neural networks.
Eng. Appl. Artif. Intell., 2022

DP<sup>2</sup>-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring.
CoRR, 2022

2021
Dynamic clustering analysis for driving styles identification.
Eng. Appl. Artif. Intell., 2021

Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation.
CoRR, 2021

Electrical peak demand forecasting- A review.
CoRR, 2021

Multiple Dynamic Pricing for Demand Response with Adaptive Clustering-based Customer Segmentation in Smart Grids.
CoRR, 2021

A telehealth framework for dementia care: an ADLs patterns recognition model for patients based on NILM.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
A feedback-directed method of evolutionary test data generation for parallel programs.
Inf. Softw. Technol., 2020

Data Augmentation with norm-VAE for Unsupervised Domain Adaptation.
CoRR, 2020

CompactETA: A Fast Inference System for Travel Time Prediction.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

An Inverse Prospect Theory Based-Approach for Linear Ordinal Ranking Aggregation with Its Application in Site Selection of Electric Vehicle Charging Station.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Energy Forecasting with Building Characteristics Analysis.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018
An integrated <i>optimization + learning</i> approach to optimal dynamic pricing for the retailer with multi-type customers in smart grids.
Inf. Sci., 2018

2017
Characterization of Elastic and Plastic Behaviors in Steel Plate Based on Eddy Current Technique Using a Portable Impedance Analyzer.
J. Sensors, 2017

Gesture segmentation based on a two-phase estimation of distribution algorithm.
Inf. Sci., 2017

Mutant reduction based on dominance relation for weak mutation testing.
Inf. Softw. Technol., 2017

A comprehensive MPC based energy management framework for isolated microgrids.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

An optimal differential pricing in smart grid based on customer segmentation.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

2016
A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid.
IEEE Trans. Smart Grid, 2016

Admissible output consensus control for singular swarm systems.
Int. J. Syst. Sci., 2016

An Integrated Optimization+ Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids.
CoRR, 2016

Distributed formation control of singular multi-agent systems.
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016

A bilevel optimization approach to demand response management for the smart grid.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Hybrid Optimization Approach to Demand Response Management for the Smart Grid.
CoRR, 2015

Identifying novel associations between small molecules and miRNAs based on integrated molecular networks.
Bioinform., 2015

Distributed Output Consensus Control for Multi-agent Systems under Disturbances.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Appliance level demand modeling and pricing optimization for demand response management in smart grid.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Output containment control for swarm systems with general linear dynamics: A dynamic output feedback approach.
Syst. Control. Lett., 2014

EpimiR: a database of curated mutual regulation between miRNAs and epigenetic modifications.
Database J. Biol. Databases Curation, 2014

An optimal real-time pricing for demand-side management: A Stackelberg game and genetic algorithm approach.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
A Stackelberg game-theoretic approach to optimal real-time pricing for the smart grid.
Soft Comput., 2013

SM2miR: a database of the experimentally validated small molecules' effects on microRNA expression.
Bioinform., 2013

Identification of active transcription factor and miRNA regulatory pathways in Alzheimer's disease.
Bioinform., 2013

Learning Customer Behaviour under Real-Time Pricing in the Smart Grid.
Proceedings of the IEEE International Conference on Systems, 2013

An Optimal Real-time Pricing Algorithm for the Smart Grid: A Bi-level Programming Approach.
Proceedings of the 2013 Imperial College Computing Student Workshop, 2013

2012
Delay-dependent admissible consensualization for singular time-delayed swarm systems.
Syst. Control. Lett., 2012

A Stackelberg Game Approach to maximise electricity retailer's profit and minimse customers' bills for future smart grid.
Proceedings of the 12th UK Workshop on Computational Intelligence, 2012


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