Aimin Zhou

Orcid: 0000-0002-4768-5946

According to our database1, Aimin Zhou authored at least 176 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization.
Swarm Evol. Comput., 2024

Self-supervised BGP-graph reasoning enhanced complex KBQA via SPARQL generation.
Inf. Process. Manag., 2024

A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms.
CoRR, 2024

DOP: Diagnostic-Oriented Prompting for Large Language Models in Mathematical Correction.
CoRR, 2024

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models.
CoRR, 2024

Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization.
CoRR, 2024

Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems.
CoRR, 2024

Emotion Neural Transducer for Fine-Grained Speech Emotion Recognition.
CoRR, 2024

Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis.
CoRR, 2024

Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking.
CoRR, 2024

Enhancing SAEAs with unevaluated solutions: a case study of relation model for expensive optimization.
Sci. China Inf. Sci., 2024

A novel SCDM algorithm with offset centroid-driven weight adaptation and its application to appearance design of automotive steering wheels.
Adv. Eng. Informatics, 2024

Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems.
Proceedings of the ACM on Web Conference 2024, 2024

Wasserstein Differential Privacy.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization.
Swarm Evol. Comput., December, 2023

MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies.
Neurocomputing, December, 2023

Bi-objective evolutionary Bayesian network structure learning via skeleton constraint.
Frontiers Comput. Sci., December, 2023

Learning Regularity for Evolutionary Multiobjective Search: A Generative Model-Based Approach.
IEEE Comput. Intell. Mag., November, 2023

Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing.
ACM Trans. Inf. Syst., October, 2023

Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., October, 2023

OPO-FCM: A Computational Affection Based OCC-PAD-OCEAN Federation Cognitive Modeling Approach.
IEEE Trans. Comput. Soc. Syst., August, 2023

Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier].
IEEE Comput. Intell. Mag., August, 2023

Differential evolution guided by approximated Pareto set for multiobjective optimization.
Inf. Sci., June, 2023

A regularity augmented evolutionary algorithm with dual-space search for multiobjective optimization.
Swarm Evol. Comput., 2023

Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning.
CoRR, 2023

Mathematical Language Models: A Survey.
CoRR, 2023

Unlearning with Fisher Masking.
CoRR, 2023

Evolutionary Retrosynthetic Route Planning.
CoRR, 2023

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education.
CoRR, 2023

Scaling Multi-Objective Security Games Provably via Space Discretization Based Evolutionary Search.
CoRR, 2023

Optimization Design of Product Form Driven by Image Cognitive Friction.
IEEE Access, 2023

Overview of the NLPCC 2023 Shared Task: Chinese Essay Discourse Coherence Evaluation.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-Trained Representations.
Proceedings of the IEEE International Conference on Acoustics, 2023

Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press].
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

A Relation Surrogate Model for Expensive Multiobjective Continuous and Combinatorial Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Degradation-Resistant Offline Optimization via Accumulative Risk Control.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

High-Dimensional Dueling Optimization with Preference Embedding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
An Evolutionary Forest for Regression.
IEEE Trans. Evol. Comput., 2022

Expensive Multiobjective Optimization by Relation Learning and Prediction.
IEEE Trans. Evol. Comput., 2022

PS-Tree: A piecewise symbolic regression tree.
Swarm Evol. Comput., 2022

Pandemic Bonds Issued by the Chinese Government Supported Post-Disaster Recovery from COVID-19 Pandemic.
J. Soc. Comput., 2022

AeS-GCN: Attention-enhanced semantic-guided graph convolutional networks for skeleton-based action recognition.
Comput. Animat. Virtual Worlds, 2022

Picture-word order compound protein interaction: Predicting compound-protein interaction using structural images of compounds.
J. Comput. Chem., 2022

Cover Image.
J. Comput. Chem., 2022

EvoGAN: An evolutionary computation assisted GAN.
Neurocomputing, 2022

CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization.
Expert Syst. Appl., 2022

LGCCT: A Light Gated and Crossed Complementation Transformer for Multimodal Speech Emotion Recognition.
Entropy, 2022

A practical regularity model based evolutionary algorithm for multiobjective optimization.
Appl. Soft Comput., 2022

An Exact Inverted Generational Distance for Continuous Pareto Front.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

The Teaching Dimension of Regularized Kernel Learners.
Proceedings of the International Conference on Machine Learning, 2022

NHFNET: A Non-Homogeneous Fusion Network for Multimodal Sentiment Analysis.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

High-arousal positive emotion evoking is more effective in VR than on a 2D monitor based on computational affection.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

A Surrogate Model Assisted Estimation of Distribution Algorithm with Mutil-acquisition Functions for Expensive Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems.
IEEE Trans. Evol. Comput., 2021

A particle swarm optimization algorithm for mixed-variable optimization problems.
Swarm Evol. Comput., 2021

Multiobjective multiple features fusion: A case study in image segmentation.
Swarm Evol. Comput., 2021

Utilizing dependence among variables in evolutionary algorithms for mixed-integer programming: A case study on multi-objective constrained portfolio optimization.
Swarm Evol. Comput., 2021

Edge-guided Composition Network for Image Stitching.
Pattern Recognit., 2021

LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences.
CoRR, 2021

A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognition.
CoRR, 2021

Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness.
CoRR, 2021

Variable Division and Optimization for Constrained Multiobjective Portfolio Problems.
CoRR, 2021

Cognitive Matching of Design Subjects in Product Form Evolutionary Design.
Comput. Intell. Neurosci., 2021

Evaluation and Design Method for Product Form Aesthetics Based on Deep Learning.
IEEE Access, 2021

Off-TANet: A Lightweight Neural Micro-expression Recognizer with Optical Flow Features and Integrated Attention Mechanism.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

SAGN: Semantic Adaptive Graph Network for Skeleton-Based Human Action Recognition.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

An Approximated Domination Relationship based on Binary Classifiers for Evolutionary Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Bi-Objective Search Method for Bayesian Network Structure Learning.
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

2020
An Estimation of Distribution Algorithm for Mixed-Variable Newsvendor Problems.
IEEE Trans. Evol. Comput., 2020

Binary Relation Learning and Classifying for Preselection in Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2020

Adaptive population structure learning in evolutionary multi-objective optimization.
Soft Comput., 2020

Objective extraction via fuzzy clustering in evolutionary many-objective optimization.
Inf. Sci., 2020

CCFR2: A more efficient cooperative co-evolutionary framework for large-scale global optimization.
Inf. Sci., 2020

Multimodal optimisation design of product forms based on aesthetic evaluation.
Int. J. Arts Technol., 2020

Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray.
CoRR, 2020

Boundary Guidance Hierarchical Network for Real-Time Tongue Segmentation.
CoRR, 2020

Information Fusion in Offspring Generation: A Case Study in Gene Expression Programming.
IEEE Access, 2020

A Multi-metric Selection Strategy for Evolutionary Symbolic Regression.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A Classification Surrogate Model based Evolutionary Algorithm for Neural Network Structure Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Learning From a Stream of Nonstationary and Dependent Data in Multiobjective Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2019

A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2019

A new learning-based adaptive multi-objective evolutionary algorithm.
Swarm Evol. Comput., 2019

Guest editorial special issue on collaborative learning and optimization based on swarm and evolutionary computation.
Swarm Evol. Comput., 2019

A Compressed Coding Scheme for Evolutionary Algorithms in Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization.
CoRR, 2019

A Spectral Clustering-Based Multi-Source Mating Selection Strategy in Evolutionary Multi-Objective Optimization.
IEEE Access, 2019

On Balancing Neighborhood and Global Replacement Strategies in MOEA/D.
IEEE Access, 2019

NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Pareto Optimal Set Approximation by Models: A Linear Case.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

MOEA/D with An Improved Multi-Dimensional Mapping Coding Scheme for Constrained Multi-Objective Portfolio Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

MIHS: A Multiobjective Pan-sharpening Method for Remote Sensing Images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Simultaneous Bayesian Clustering and Feature Selection Through Student's t Mixtures Model.
IEEE Trans. Neural Networks Learn. Syst., 2018

Information fusion in offspring generation: A case study in DE and EDA.
Swarm Evol. Comput., 2018

Preselection via classification: A case study on evolutionary multiobjective optimization.
Inf. Sci., 2018

Preselection via classification: a case study on global optimisation.
Int. J. Bio Inspired Comput., 2018

PyDraw: a GUI drawing generator based on Tkinter and its design concept.
CoRR, 2018

Tree-Structured Decomposition and Adaptation in MOEA/D.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

A Comparison Study of Surrogate Model Based Preselection in Evolutionary Optimization.
Proceedings of the Intelligent Computing Theories and Application, 2018

Preselection via one-class classification for evolutionary optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Termination detection strategies in evolutionary algorithms: a survey.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

An evolutionary algorithm with a new operator and an adaptive strategy for large-scale portfolio problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A Hybrid Replacement Strategy for MOEA/D.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

2017
An Evolutionary Algorithm with a New Coding Scheme for Multi-objective Portfolio Optimization.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Accelerating MOEA/D by Nelder-Mead method.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A decomposition based multiobjective evolutionary algorithm with semi-supervised classification.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2016

A Self-Organizing Multiobjective Evolutionary Algorithm.
IEEE Trans. Evol. Comput., 2016

Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm.
IEEE Trans. Evol. Comput., 2016

Adaptive Replacement Strategies for MOEA/D.
IEEE Trans. Cybern., 2016

Learning from Non-Stationary Stream Data in Multiobjective Evolutionary Algorithm.
CoRR, 2016

A hybrid estimation of distribution algorithm with differential evolution for global optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Self-adaptive spectral cluster number detecting with particle swarm optimization algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

An estimation of distribution algorithm guided by mean shift.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Sampling in latent space for a mulitiobjective estimation of distribution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Mean Shift Assisted Differential Evolution Algorithm.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2015
An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods.
IEEE Trans. Evol. Comput., 2015

A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2015

A multiobjective cellular genetic algorithm based on 3D structure and cosine crowding measurement.
Int. J. Mach. Learn. Cybern., 2015

An Antinoise Method for Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2015

Image segmentation framework based on multiple feature spaces.
IET Image Process., 2015

On neighborhood exploration and subproblem exploitation in decomposition based multiobjective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A classification and Pareto domination based multiobjective evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A Multiobjective Evolutionary Algorithm Based on Decomposition and Preselection.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

2014
A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Cybern., 2014

A Novel Blind Spectral Unmixing Method Based on Error Analysis of Linear Mixture Model.
IEEE Geosci. Remote. Sens. Lett., 2014

Adaptive image segmentation by using mean-shift and evolutionary optimisation.
IET Image Process., 2014

Unsupervised robust Bayesian feature selection.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A clustering based multiobjective evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A replacement strategy for balancing convergence and diversity in MOEA/D.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A locally weighted metamodel for pre-selection in evolutionary optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

An MOEA/D with multiple differential evolution mutation operators.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Automatic clustering method based on evolutionary optimisation.
IET Comput. Vis., 2013

A decomposition based estimation of distribution algorithm for multiobjective traveling salesman problems.
Comput. Math. Appl., 2013

MCGA: A Multiobjective Cellular Genetic Algorithm Based on a 3D Grid.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Practical path-based methods for clustering arbitrary shaped data sets.
Proceedings of the Ninth International Conference on Natural Computation, 2013

Hyperspectral band selection based on evolutionary optimization.
Proceedings of the Ninth International Conference on Natural Computation, 2013

Approximation Model Guided Selection for Evolutionary Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A differential evolution with an orthogonal local search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Hop Distance Analysis in Partially Connected Wireless Sensor Networks.
Proceedings of the 20th IEEE International Symposium on Modeling, 2012

An Evolutionary Approach for Image Registration.
Proceedings of the Computational Intelligence and Intelligent Systems, 2012

Non-negative Matrix Factorization: A Short Survey on Methods and Applications.
Proceedings of the Computational Intelligence and Intelligent Systems, 2012

A Decomposition based estimation of distribution algorithm for multiobjective knapsack problems.
Proceedings of the Eighth International Conference on Natural Computation, 2012

An estimation of distribution algorithm based on decomposition for the multiobjective TSP.
Proceedings of the Eighth International Conference on Natural Computation, 2012

A multiobjective evolutionary algorithm based on decomposition and probability model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Multiobjective evolutionary algorithms: A survey of the state of the art.
Swarm Evol. Comput., 2011

Optimal risk control policies for diffusion models with non-cheap proportional reinsurance and bankruptcy value.
J. Syst. Sci. Complex., 2011

Simulated annealing with probabilistic neighborhood for traveling salesman problems.
Proceedings of the Seventh International Conference on Natural Computation, 2011

An estimation of distribution algorithm based on nonparametric density estimation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Dynamic constrained multi-objective model for solving constrained optimization problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Dynamic multi-objective differential evolution for solving constrained optimization problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Parameter Evolution for a Particle Swarm Optimization Algorithm.
Proceedings of the Advances in Computation and Intelligence - 5th International Symposium, 2010

A surrogate-assisted evolutionary algorithm for minimax optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Multi-objective mobile agent-based Sensor Network Routing using MOEA/D.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Estimation of distribution algorithms for continuous multiobjective optimization.
PhD thesis, 2009

Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm.
IEEE Trans. Evol. Comput., 2009

2008
Errata to "RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm" [Feb 08 41-63].
IEEE Trans. Evol. Comput., 2008

RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm.
IEEE Trans. Evol. Comput., 2008

Combination of EDA and DE for continuous biobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms.
Proceedings of the Multiobjective Problem Solving from Nature, 2008

2007
A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy.
Proceedings of the Advances in Computation and Intelligence, 2007

Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Adaptivemodelling strategy for continuous multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping.
Proceedings of the Parallel Problem Solving from Nature, 2006

Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
A model-based evolutionary algorithm for bi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Benchmarking algorithms for dynamic travelling salesman problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Solving dynamic TSP with evolutionary approach in real time.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003


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