Ruibin Bai

MeLA: A metacognitive LLM-driven architecture for automatic heuristic design

Qiu, Zishang et al.

Online risk-aware pattern adjustment for bin packing problem

Zhang, Huayan et al.

Predictive Reasoning with Augmented Anomaly Contrastive Learning for

Preference-agile multi-objective optimization for real-time vehicle dispatching

Jin, Jiahuan et al.

Ranking-Based Self-Supervised Representation Learning for Skeleton-Based Action

Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job

A particle swarm optimization-based ensemble metaheuristic for long-term

A review of medical text analysis: Theory and practice

Chen, Yani et al.

An effective combination of mechanisms for particle swarm optimization-based

CEARI: Co-Evolutionary Agents for Reassembling and Inpainting Puzzles with Gap

DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solvin

FineMotion: A Dataset and Benchmark with Both Spatial and Temporal Annotatio

FPGA Routing Congestion Prediction via Graph Learning-Aided Conditional GAN

Yang, Qingyu et al.

LLM4Netlist: LLM-Enabled Step-Based Netlist Generation From Natural Languag

Online Bayesian Approximation Based Uncertainty Aware Model for Ophthalmic Image

PGU-SGP: A Pheno-Geno Unified Surrogate Genetic Programming For Real-lif

SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction i

TDCGait: A Temporal-Doppler-Concept Tri-branch Framework for Radar Gai

TSCF-Net: A Temporal-Spectral Cross-Fusion Network for Low-Channel EEG Moto

A cascaded retrieval-while-reasoning multi-document comprehension framework with

A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic

A pattern-based algorithm with fuzzy logic bin selector for online bin packing

Advancing container port traffic simulation: A data-driven machine learnin

Causal Effects of Adversarial Attacks on AI Models in 6G Consumer Electronics

Guo, Da et al.

Characterising Deep Learning Loss Landscapes with Local Optima Networks

Zhou, Yuyang et al.

Deep Reinforcement Learning Assisted Genetic Programming Ensemble

Discrete-Time Survival Models with Neural Networks for Age–Period–Cohort

Enhancing online yard crane scheduling through a two-stage rollout memetic

Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station

Gase: graph attention sampling with edges fusion for solving vehicle routin

Hierarchical Perceptual and Predictive Analogy-Inference Network for Abstract

Low-Contrast Medical Image Segmentation via Transformer and Boundary Perception

Zhang, Yinglin et al.

Medical chief complaint classification with hierarchical structure of label

Mobile robot sequential decision making using a deep reinforcement learning

Multi-View Spectrogram Transformer for Respiratory Sound Classification

He, Wentao et al.

Pattern Based Learning and Optimisation Through Pricing for Bin Packing Problem

Zhang, Huayan et al.

Progressively-orthogonally-mapped EfficientNet for action recognition on

Radar gait recognition using Dual-branch Swin Transformer with Asymmetric

Scale Optimization Using Evolutionary Reinforcement Learning for Object

Transformer Surrogate Genetic Programming for Dynamic Container Port Truck

Two-stage Rule-induction visual reasoning on RPMs with an application to video

A deep reinforcement learning hyper-heuristic with feature fusion for online

A Max-Relevance-Min-Divergence criterion for data discretization with

A semi-supervised adaptive discriminative discretization method improving

A Simulation Hyper-Heuristic Method for Multi-Floor AGV Delivery Services in

Analytics and machine learning in scheduling and routing research

Bai, Ruibin et al.

Container port truck dispatching optimization using Real2Sim based deep

Data augmentation by morphological mixup for solving Raven’s progressive matrices

He, Wentao et al.

Elongated Physiological Structure Segmentation via Spatial and Scale

Enhancing Container Port Traffic Simulation by Data-Driven Learning-Based Method

Hierarchical ConViT with Attention-Based Relational Reasoner for Visual

Mask Attack Detection Using Vascular-Weighted Motion-Robust rPPG Signals

Yao, Chenglin et al.

Optimal Low-Rank QR Decomposition with an Application on RP-TSOD

Yu, Haiyan et al.

Prediction and Analysis of Container Terminal Logistics Arrival Time Based o

Wang, Ruoqi et al.

SC-GAN: Structure Consistent GAN for Modality Transfer with FFT and Multi-Scal

Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with

Structural Priors Guided Network for the Corneal Endothelial Cell Segmentation

Zhang, Yinglin et al.

UG-Net: Corneal Endothelial Cell Segmentation Based on Uncertainty Estimatio

A Robust Detection and Optimization Approach for Delayed Measurements in UWB

An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem

Du, Xinyang et al.

Boosting the Discriminant Power of Naive Bayes

Wang, Shihe et al.

Container terminal daily gate in and gate out forecasting using machine learning

Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online

Identify Patterns in Online Bin Packing Problem: An Adaptive Pattern-Base

Lagrange dual bound computation for stochastic service network design

Jiang, Xiaoping et al.

A deep reinforcement learning based hyper-heuristic for combinatorial

A Fuzzy-based Heuristic Algorithm for Online Outbound Container Stacking Problem

A Genetic Optimization Resampling Based Particle Filtering Algorithm for Indoor

A hybrid medical text classification framework: Integrating attentive rul

Analytics and machine learning in vehicle routing research

Bai, Ruibin et al.

Collective Strategies With a Master-Slave Mechanism Dominate in Spatial-Iterated

Data augmentation by morphological mixup for solving Raven's Progressive Matrices

He, Wentao et al.

Evolutionary-Inspired Strategy for Particle Distribution Optimization in

Novel prior position determination approaches in particle filter for ultra

One-shot Visual Reasoning on RPMs with an Application to Video Frame Prediction

He, Wentao et al.

rPPG-Based Spoofing Detection for Face Mask Attack using Efficientnet on

A Data-Driven Genetic Programming Heuristic for Real-World Dynamic Seaport

A hybrid pricing and cutting approach for the multi-shift full truckload vehicle

A multiobjective single bus corridor scheduling using machine learning-based

A Regularized Attribute Weighting Framework for Naive Bayes

Wang, Shihe et al.

Data-Driven Agent-Based Model of Intra-Urban Activities

Gong, Shuhui et al.

Data-Driven Regular Expressions Evolution for Medical Text Classification Using

Forecasting stock market return with nonlinearity: a genetic programmin

Fuzzy C-means-based scenario bundling for stochastic service network design

Jiang, Xiaoping et al.

Geographical and temporal huff model calibration using taxi trajectory data

Gong, Shuhui et al.

Retrieving and ranking short medical questions with two stages neural matching

Soft clustering-based scenario bundling for a progressive hedging heuristic in

A hybrid combinatorial approach to a two-stage stochastic portfolio optimization

A triple-frequency cycle slip detection and correction method based on modified

A variable neighborhood search algorithm with reinforcement learning for a

Activity Modelling Using Journey Pairing of Taxi Trajectory Data

Gong, Shuhui et al.

Extracting activity patterns from taxi trajectory data: a two-layer framewor

Regular Expression Based Medical Text Classification Using Constructive

Travel time prediction in transport and logistics

Li, Xia et al.

A hyper-heuristic with two guidance indicators for bi-objective mixed-shift

Automated prediction of shopping behaviours using taxi trajectory data and

Decision-making in cold chain logistics using data analytics: a literatur

Spatio-temporal prediction of shopping behaviours using taxi trajectory data

Cartlidge, John et al.

An Investigation on Compound Neighborhoods for VRPTW

Chen, Binhui et al.

Cycle-slip Detection for Triple-frequency GPS Observations Under Ionospheric

Optimisation of transportation service network using κ -node large neighbourhood

A dynamic truck dispatching problem in marine container terminal

Chen, Jianjun et al.

A new fast large neighbourhood search for service network design with asset

A scheme for determining vehicle routes based on Arc-based service network design

Jiang, Xiaoping et al.

A Theoretical and Empirical Integrated Method to Select the Optimal Combined

A Variable Neighbourhood Search Algorithm with Compound Neighbourhoods for VRPTW

Chen, Binhui et al.

Cold chain configuration design: location-allocation decision-making usin

Development of a framework for big data analytics in cold chain logistics

Chaudhuri, Atanu et al.

Environmental and financial performance of mechanical recycling of carbon fibre

Freight Vehicle Travel Time Prediction Using Gradient Boosting Regression Tree

Li, Xia & Bai, Ruibin

Freight Vehicle Travel Time Prediction Using Sparse Gaussian Processes

A hybrid genetic algorithm for a two-stage stochastic portfolio optimization

A set-covering model for a bidirectional multi-shift full truckload vehicle

Good Laboratory Practice for optimization research

Kendall, Graham et al.

A combinatorial algorithm for the cardinality constrained portfolio optimization

A strategic approach to improve sustainability in transportation service

Hybridising heuristics within an estimation distribution algorithm for

Life cycle resource consumption of automotive power seats

Chen, Yisong et al.

Maintaining population diversity in brain storm optimization algorithm

Cheng, Shi et al.

Modeling urban road risky driving behaviors in China with multi-agent

Population Diversity Maintenance In Brain Storm Optimization Algorithm

Cheng, Shi et al.

Search with evolutionary ruin and stochastic rebuild: A theoretic framework an

Li, Jingpeng et al.

Stochastic service network design with rerouting

Bai, Ruibin et al.

A novel approach to independent taxi scheduling problem based on stable matching

Bai, Ruibin et al.

A path-oriented encoding evolutionary algorithm for network coding resource

A Study of Node Based Large Neighbourhood Approaches for the Logistics Service

A task based approach for a real-world commodity routing problem

Chen, Jianjun et al.

Predicting open IOS adoption in SMEs: An integrated SEM-neural network approach

Chong, Alain Yee‐Loong & Bai, Ruibin

Swarm Intelligence in Big Data Analytics

Cheng, Shi et al.

A new model and a hyper-heuristic approach for two-dimensional shelf space

Evidence and belief in regulatory decisions – Incorporating expected utility

Tabu assisted guided local search approaches for freight service network design

Bai, Ruibin et al.

A decision support approach for group decision making under risk and uncertainty

Li, Jiawei et al.

A Hybrid Evolutionary Approach to the Nurse Rostering Problem

Bai, Ruibin et al.

An efficient guided local search approach for service network design problem

Canonical representation genetic programming

Woodward, John R. & Bai, Ruibin

Why evolution is not a good paradigm for program induction

Woodward, John R. & Bai, Ruibin

A Model for Fresh Produce Shelf-Space Allocation and Inventory Management with