Ruibin Bai

Orcid: 0000-0003-1722-568X

According to our database1, Ruibin Bai authored at least 111 papers between 2007 and 2025.

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Bibliography

2025
Two-stage Rule-induction visual reasoning on RPMs with an application to video prediction.
Pattern Recognit., 2025

Radar gait recognition using Dual-branch Swin Transformer with Asymmetric Attention Fusion.
Pattern Recognit., 2025

2024
Gase: graph attention sampling with edges fusion for solving vehicle routing problems.
Memetic Comput., September, 2024

Enhancing online yard crane scheduling through a two-stage rollout memetic genetic programming.
Memetic Comput., September, 2024

Low-Contrast Medical Image Segmentation via Transformer and Boundary Perception.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

Data augmentation by morphological mixup for solving Raven's progressive matrices.
Vis. Comput., April, 2024

Structural Priors Guided Network for the Corneal Endothelial Cell Segmentation.
IEEE Trans. Medical Imaging, January, 2024

A Max-Relevance-Min-Divergence criterion for data discretization with applications on naive Bayes.
Pattern Recognit., 2024

Medical chief complaint classification with hierarchical structure of label descriptions.
Expert Syst. Appl., 2024

Progressively-orthogonally-mapped EfficientNet for action recognition on time-range-Doppler signature.
Expert Syst. Appl., 2024

A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem.
Expert Syst. Appl., 2024

Mobile robot sequential decision making using a deep reinforcement learning hyper-heuristic approach.
Expert Syst. Appl., 2024

Container port truck dispatching optimization using Real2Sim based deep reinforcement learning.
Eur. J. Oper. Res., 2024

Pattern based learning and optimisation through pricing for bin packing problem.
CoRR, 2024

Advancing container port traffic simulation: A data-driven machine learning approach in sparse data environments.
Appl. Soft Comput., 2024

Hierarchical Perceptual and Predictive Analogy-Inference Network for Abstract Visual Reasoning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Regression Residual Reasoning with Pseudo-labeled Contrastive Learning for Uncovering Multiple Complex Compositional Relations.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Two-Stage Plan-and-Allocate Algorithm for Operation Room Scheduling Problem with Uncertainties.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

Characterising Deep Learning Loss Landscapes with Local Optima Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station Coordinated Operation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Evolving Priority Rules for Online Yard Crane Scheduling with Incomplete Tasks Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Identification of chrysanthemum using hyperspectral imaging based on few-shot class incremental learning.
Comput. Electron. Agric., December, 2023

A deep reinforcement learning hyper-heuristic with feature fusion for online packing problems.
Expert Syst. Appl., November, 2023

Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching.
IEEE Trans. Evol. Comput., October, 2023

A semi-supervised adaptive discriminative discretization method improving discrimination power of regularized naive Bayes.
Expert Syst. Appl., September, 2023

Mask Attack Detection Using Vascular-Weighted Motion-Robust rPPG Signals.
IEEE Trans. Inf. Forensics Secur., 2023

A multiobjective single bus corridor scheduling using machine learning-based predictive models.
Int. J. Prod. Res., 2023

Analytics and machine learning in scheduling and routing research.
Int. J. Prod. Res., 2023

Analytics and machine learning in vehicle routing research.
Int. J. Prod. Res., 2023

Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery.
CoRR, 2023

Multi-View Spectrogram Transformer for Respiratory Sound Classification.
CoRR, 2023

A Simulation Hyper-Heuristic Method for Multi-Floor AGV Delivery Services in Hospitals.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-Aware Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

UG-Net: Corneal Endothelial Cell Segmentation Based on Uncertainty Estimation and Soft Spatial Attention.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

SC-GAN: Structure Consistent GAN for Modality Transfer with FFT and Multi-Scale Perception.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Optimal Low-Rank QR Decomposition with an Application on RP-TSOD.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Prediction and Analysis of Container Terminal Logistics Transportation Time Based on Simulation Interactive Modeling: A Case Study of Ningbo Port: Simulation Modeling of Container Terminal Logistics Time: Ningbo Port Case.
Proceedings of the 15th International Conference on Computer Modeling and Simulation, 2023

Solving Jigsaw Puzzle of Large Eroded Gaps Using Puzzlet Discriminant Network.
Proceedings of the IEEE International Conference on Acoustics, 2023

Transformer Surrogate Genetic Programming for Dynamic Container Port Truck Dispatching.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023

Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Hierarchical ConViT with Attention-Based Relational Reasoner for Visual Analogical Reasoning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Identify Patterns in Online Bin Packing Problem: An Adaptive Pattern-Based Algorithm.
Symmetry, 2022

Cross-document attention-based gated fusion network for automated medical licensing exam.
Expert Syst. Appl., 2022

A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties.
Eur. J. Oper. Res., 2022

Lagrange dual bound computation for stochastic service network design.
Eur. J. Oper. Res., 2022

Boosting the Discriminant Power of Naive Bayes.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
A Genetic Optimization Resampling Based Particle Filtering Algorithm for Indoor Target Tracking.
Remote. Sens., 2021

Collective Strategies With a Master-Slave Mechanism Dominate in Spatial-Iterated Prisoner's Dilemma.
Int. J. Swarm Intell. Res., 2021

A hybrid medical text classification framework: Integrating attentive rule construction and neural network.
Neurocomputing, 2021

Geographical and temporal huff model calibration using taxi trajectory data.
GeoInformatica, 2021

A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem.
Eur. J. Oper. Res., 2021

One-shot Visual Reasoning on RPMs with an Application to Video Frame Prediction.
CoRR, 2021

Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19.
CoRR, 2021

A Data Augmentation Method by Mixing Up Negative Candidate Answers for Solving Raven's Progressive Matrices.
CoRR, 2021

Soft clustering-based scenario bundling for a progressive hedging heuristic in stochastic service network design.
Comput. Oper. Res., 2021

A Fuzzy-based Heuristic Algorithm for Online Outbound Container Stacking Problem with Uncertain Weight Information.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Evolutionary-Inspired Strategy for Particle Distribution Optimization in Auxiliary Particle Filtering Algorithm Based Indoor Positioning.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021

rPPG-Based Spoofing Detection for Face Mask Attack using Efficientnet on Weighted Spatial-Temporal Representation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices.
Soft Comput., 2020

A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes.
RAIRO Oper. Res., 2020

Forecasting stock market return with nonlinearity: a genetic programming approach.
J. Ambient Intell. Humaniz. Comput., 2020

Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation.
Int. J. Geogr. Inf. Sci., 2020

Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing and Word-vector Models.
CoRR, 2020

A Regularized Attribute Weighting Framework for Naive Bayes.
IEEE Access, 2020

Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Data-Driven Genetic Programming Heuristic for Real-World Dynamic Seaport Container Terminal Truck Dispatching.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Regular Expression Based Medical Text Classification Using Constructive Heuristic Approach.
IEEE Access, 2019

Retrieving and ranking short medical questions with two stages neural matching model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Face alignment recurrent network.
Pattern Recognit., 2018

Collective Strategies with a Master-slave Mechanism Dominate in Spatial Iterated Prisoner's Dilemma.
CoRR, 2018

Optimisation of transportation service network using κ-node large neighbourhood search.
Comput. Oper. Res., 2018

A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows.
Appl. Intell., 2018

Cold chain configuration design: location-allocation decision-making using coordination, value deterioration, and big data approximation.
Ann. Oper. Res., 2018

Continuous Action Recognition and Segmentation in Untrimmed Videos.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
A scheme for determining vehicle routes based on Arc-based service network design.
INFOR Inf. Syst. Oper. Res., 2017

Fuzzy C-means-based scenario bundling for stochastic service network design.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
A Theoretical and Empirical Integrated Method to Select the Optimal Combined Signals for Geometry-Free and Geometry-Based Three-Carrier Ambiguity Resolution.
Sensors, 2016

Good Laboratory Practice for optimization research.
J. Oper. Res. Soc., 2016

A dynamic truck dispatching problem in marine container terminal.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A new fast large neighbourhood search for service network design with asset balance constraints.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Facial Animation Based on 2D Shape Regression.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Freight Vehicle Travel Time Prediction Using Sparse Gaussian Processes Regression with Trajectory Data.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

An Investigation on Compound Neighborhoods for VRPTW.
Proceedings of the Operations Research and Enterprise Systems, 2016

A Variable Neighbourhood Search Algorithm with Compound Neighbourhoods for VRPTW.
Proceedings of 5th the International Conference on Operations Research and Enterprise Systems (ICORES 2016), 2016

Freight Vehicle Travel Time Prediction Using Gradient Boosting Regression Tree.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
Search with evolutionary ruin and stochastic rebuild: A theoretic framework and a case study on exam timetabling.
Eur. J. Oper. Res., 2015

Hybridising heuristics within an estimation distribution algorithm for examination timetabling.
Appl. Intell., 2015

A hybrid genetic algorithm for a two-stage stochastic portfolio optimization with uncertain asset prices.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
A path-oriented encoding evolutionary algorithm for network coding resource minimization.
J. Oper. Res. Soc., 2014

A novel approach to independent taxi scheduling problem based on stable matching.
J. Oper. Res. Soc., 2014

Population Diversity Maintenance In Brain Storm Optimization Algorithm.
J. Artif. Intell. Soft Comput. Res., 2014

Predicting open IOS adoption in SMEs: An integrated SEM-neural network approach.
Expert Syst. Appl., 2014

Modeling urban road risky driving behaviors in China with multi-agent microscopic traffic simulation.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

A combinatorial algorithm for the cardinality constrained portfolio optimization problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Maintaining population diversity in brain storm optimization algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
A new model and a hyper-heuristic approach for two-dimensional shelf space allocation.
4OR, 2013

Swarm Intelligence in Big Data Analytics.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

A task based approach for a real-world commodity routing problem.
Proceedings of the IEEE Symposium on Computational Intelligence In Production And Logistics Systems, 2013

2012
Tabu assisted guided local search approaches for freight service network design.
Inf. Sci., 2012

Evidence and belief in regulatory decisions - Incorporating expected utility into decision modelling.
Expert Syst. Appl., 2012

A simulated annealing hyper-heuristic methodology for flexible decision support.
4OR, 2012

2010
A Hybrid Evolutionary Approach to the Nurse Rostering Problem.
IEEE Trans. Evol. Comput., 2010

2009
Why evolution is not a good paradigm for program induction: a critique of genetic programming.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

Canonical representation genetic programming.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

2008
Heuristic, meta-heuristic and hyper-heuristic approaches for fresh produce inventory control and shelf space allocation.
J. Oper. Res. Soc., 2008

A Model for Fresh Produce Shelf-Space Allocation and Inventory Management with Freshness-Condition-Dependent Demand.
INFORMS J. Comput., 2008

2007
Memory Length in Hyper-heuristics: An Empirical Study.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007


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