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
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024
Vis. Comput., April, 2024
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
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
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
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
IEEE Trans. Inf. Forensics Secur., 2023
A multiobjective single bus corridor scheduling using machine learning-based predictive models.
Int. J. Prod. Res., 2023
Int. J. Prod. Res., 2023
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery.
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
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
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
Eur. J. Oper. Res., 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
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
GeoInformatica, 2021
A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem.
Eur. J. Oper. Res., 2021
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
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
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
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
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
INFOR Inf. Syst. Oper. Res., 2017
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
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
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
Proceedings of the Operations Research and Enterprise Systems, 2016
Proceedings of 5th the International Conference on Operations Research and Enterprise Systems (ICORES 2016), 2016
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
J. Oper. Res. Soc., 2014
J. Artif. Intell. Soft Comput. Res., 2014
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
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
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
Proceedings of the IEEE Symposium on Computational Intelligence In Production And Logistics Systems, 2013
2012
Inf. Sci., 2012
Evidence and belief in regulatory decisions - Incorporating expected utility into decision modelling.
Expert Syst. Appl., 2012
4OR, 2012
2010
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
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
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007