Min Jiang

Orcid: 0000-0003-2946-6974

Affiliations:
  • Xiamen University, Department of Cognitive Science and Technology, China
  • Xiamen University, Fujian Key Laboratory of Brain-like Computing and Application, China


According to our database1, Min Jiang authored at least 97 papers between 2008 and 2024.

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Bibliography

2024
Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

WalkGAN: Network Representation Learning With Sequence-Based Generative Adversarial Networks.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Improving Performance Insensitivity of Large-Scale Multiobjective Optimization via Monte Carlo Tree Search.
IEEE Trans. Cybern., March, 2024

Dynamic Multiobjective Evolutionary Optimization via Knowledge Transfer and Maintenance.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024

Transformer-based network with temporal depthwise convolutions for sEMG recognition.
Pattern Recognit., January, 2024

Boosting scalability for large-scale multiobjective optimization via transfer weights.
Inf. Sci., 2024

Phy124: Fast Physics-Driven 4D Content Generation from a Single Image.
CoRR, 2024

Adversarial Learning for Neural PDE Solvers with Sparse Data.
CoRR, 2024

Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models.
CoRR, 2024

Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data.
CoRR, 2024

Exploring Color Invariance through Image-Level Ensemble Learning.
CoRR, 2024

Cross-Modality Perturbation Synergy Attack for Person Re-identification.
CoRR, 2024

Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift.
Proceedings of the International Joint Conference on Neural Networks, 2024

Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking.
Proceedings of the International Joint Conference on Neural Networks, 2024

Beyond Augmentation: Empowering Model Robustness under Extreme Capture Environments.
Proceedings of the International Joint Conference on Neural Networks, 2024

Fast Solving Partial Differential Equations via Imitative Fourier Neural Operator.
Proceedings of the International Joint Conference on Neural Networks, 2024

Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Knowledge Guided Transfer Strategy for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., December, 2023

Dual-Stream Transformer With Distribution Alignment for Visible-Infrared Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Graph-Based Class-Imbalance Learning With Label Enhancement.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection.
IEEE Trans. Evol. Comput., 2023

Group-preserving label-specific feature selection for multi-label learning.
Expert Syst. Appl., 2023

Pre-Evolved Model for Complex Multi-objective Optimization Problems.
CoRR, 2023

A Recommender System Approach for Very Large-scale Multiobjective Optimization.
CoRR, 2023

Genetic Programming Symbolic Regression with Simplification-Pruning Operator for Solving Differential Equations.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022

An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022

Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022

Learning From Weakly Labeled Data Based on Manifold Regularized Sparse Model.
IEEE Trans. Cybern., 2022

Inverse Gaussian Process Modeling for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Cybern., 2022

Solving hybrid charging strategy electric vehicle based dynamic routing problem via evolutionary multi-objective optimization.
Swarm Evol. Comput., 2022

The design of evolutionary feature selection operator for the micro-expression recognition.
Memetic Comput., 2022

Solving large-scale multiobjective optimization via the probabilistic prediction model.
Memetic Comput., 2022

Evolutionary Large-Scale Multiobjective Optimization via Self-guided Problem Transformation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2021

Monodirectional Tissue P Systems With Promoters.
IEEE Trans. Cybern., 2021

A Fast Dynamic Evolutionary Multiobjective Algorithm via Manifold Transfer Learning.
IEEE Trans. Cybern., 2021

Individual-Based Transfer Learning for Dynamic Multiobjective Optimization.
IEEE Trans. Cybern., 2021

Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model.
CoRR, 2021

Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks.
CoRR, 2021

Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research.
IEEE Comput. Intell. Mag., 2021

AHOA: Adaptively Hybrid Optimization Algorithm for Flexible Job-shop Scheduling Problem.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

Online Multiple Object Tracking Algorithm Based on Heat Map Propagation.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020
On the Computational Power of Asynchronous Axon Membrane Systems.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

A Mixture-of-Experts Prediction Framework for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Cybern., 2020

Multiobjective Particle Swarm Optimization Based on Network Embedding for Complex Network Community Detection.
IEEE Trans. Comput. Soc. Syst., 2020

A grey prediction-based evolutionary algorithm for dynamic multiobjective optimization.
Swarm Evol. Comput., 2020

Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains.
CoRR, 2020

Multi-label Feature Selection via Global Relevance and Redundancy Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Approach to recognizing SSVEP by combining CCA with artificial neural network.
Proceedings of the ICIAI 2020: The 4th International Conference on Innovation in Artificial Intelligence, 2020

Improving Deep Learning based Optical Character Recognition via Neural Architecture Search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Knee Points based Transfer Dynamic Multi-objective optimization Evolutionary Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus.
IEEE Trans. Intell. Transp. Syst., 2019

Droplet-Transmitted Infection Risk Ranking Based on Close Proximity Interaction.
Frontiers Neurorobotics, 2019

Social Network Rumor Diffusion Predication Based on Equal Responsibility Game Model.
IEEE Access, 2019

Evolutionary Dynamic Multi-objective Optimization via Regression Transfer Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Method for SSVEP Recognition Based on Weighted Canonical Correlation Analysis.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Online Bagging for Anytime Transfer Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

An SSVEP Recognition Method by Combining Individual Template with CCA.
Proceedings of the ICIAI 2019: The 3rd International Conference on Innovation in Artificial Intelligence, 2019

Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms.
IEEE Trans. Evol. Comput., 2018

Electroencephalogram-based brain-computer interface for the Chinese spelling system: a survey.
Frontiers Inf. Technol. Electron. Eng., 2018

Dynamic Multi-objective Estimation of Distribution Algorithm based on Domain Adaptation and Nonparametric Estimation.
Inf. Sci., 2018

Towards portable SSVEP-based brain-computer interface using Emotiv EPOC and mobile phone.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Solving dynamic multi-objective optimization problems via support vector machine.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

A Many-Objective Particle Swarm Optimization Based On Virtual Pareto Front.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Integration of Global and Local Metrics for Domain Adaptation Learning Via Dimensionality Reduction.
IEEE Trans. Cybern., 2017

Guest Editorial Special Issue on Human-Like Intelligence and Robotics.
IEEE Syst. J., 2017

Emotion Detection in E-learning Using Expectation-Maximization Deep Spatial-Temporal Inference Network.
Proceedings of the Advances in Computational Intelligence Systems, 2017

Towards Low-Cost P300-Based BCI Using Emotiv Epoc Headset.
Proceedings of the Advances in Computational Intelligence Systems, 2017

Motion generation of multi-legged robot in complex terrains by using estimation of distribution algorithm.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Advancement in the EEG-Based Chinese Spelling Systems.
Proceedings of the Intelligent Robotics and Applications - 9th International Conference, 2016

2015
An NP-complete fragment of fibring logic.
Ann. Math. Artif. Intell., 2015

A Developmental Approach to Mobile Robotic Reaching.
Proceedings of the Intelligent Robotics and Applications - 8th International Conference, 2015

2014
A developmental approach to robotic pointing via human-robot interaction.
Inf. Sci., 2014

Robotic Free Writing of Chinese Characters via Human-Robot Interactions.
Int. J. Humanoid Robotics, 2014

Integrate classifier diversity evaluation to feature selection based classifier ensemble reduction.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

Improving machine vision via incorporating expectation-maximization into Deep Spatio-Temporal learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A reduced classifier ensemble approach to human gesture classification for robotic Chinese handwriting.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
Learning Robotic Hand-eye Coordination Through a Developmental Constraint Driven Approach.
Int. J. Autom. Comput., 2013

OpenPsi: A novel computational affective model and its application in video games.
Eng. Appl. Artif. Intell., 2013

A human-like learning approach to developmental robotic reaching.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

A connectionist model for 2-dimensional modal logic.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2013

2012
Dynamics of a computational affective model inspired by Dörner's PSI theory.
Cogn. Syst. Res., 2012

Graded BDI Models for Agent Architectures Based on Łukasiewicz Logic and Propositional Dynamic Logic.
Proceedings of the Web Information Systems and Mining - International Conference, 2012

A developmental constraint driven approach to developmental robotic hand-eye coordination.
Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012

An algorithm for computing attribute reducts based on graph search strategy.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Integration of brain-like computational structure and infant behaviorial pattern for robotic hand-eye coordination.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

2010
Embodied concept formation and reasoning via neural-symbolic integration.
Neurocomputing, 2010

2008
A CSP-Based Approach for Solving Parity Game.
Proceedings of the Frontiers in Algorithmics, Second Annual International Workshop, 2008

Interpretation, Transformation and Model Checking of Semi-formal Diagram Notations.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008


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