Ran Wang

Orcid: 0000-0002-2586-5604

Affiliations:
  • Shenzhen University, College of Mathematics and Statistics, China
  • City University of Hong Kong, Department of Computer Science, Hong Kong (PhD 2014)


According to our database1, Ran Wang authored at least 88 papers between 2007 and 2024.

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Bibliography

2024
Structure-based, deep-learning models for protein-ligand binding affinity prediction.
J. Cheminformatics, December, 2024

Ensemble Clustering via Co-Association Matrix Self-Enhancement.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Adversarially robust neural networks with feature uncertainty learning and label embedding.
Neural Networks, 2024

Attribute reduction with fuzzy kernel-induced relations.
Inf. Sci., 2024

Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation.
CoRR, 2024

Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Extending version-space theory to multi-label active learning with imbalanced data.
Pattern Recognit., October, 2023

A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

A meta-framework for multi-label active learning based on deep reinforcement learning.
Neural Networks, May, 2023

Generative face inpainting hashing for occluded face retrieval.
Int. J. Mach. Learn. Cybern., May, 2023

A Review of Generalized Zero-Shot Learning Methods.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

A review of artificial fish swarm algorithms: recent advances and applications.
Artif. Intell. Rev., March, 2023

Adversarial Learning With Cost-Sensitive Classes.
IEEE Trans. Cybern., 2023

Self-representative kernel concept factorization.
Knowl. Based Syst., 2023

Improving the Adversarial Robustness of Deep Neural Networks via Efficient Two-Stage Training.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2022
Fuzzy Monotonic K-Nearest Neighbor Versus Monotonic Fuzzy K-Nearest Neighbor.
IEEE Trans. Fuzzy Syst., 2022

Towards improving fast adversarial training in multi-exit network.
Neural Networks, 2022

CSHE: network pruning by using cluster similarity and matrix eigenvalues.
Int. J. Mach. Learn. Cybern., 2022

Network pruning via probing the importance of filters.
Int. J. Mach. Learn. Cybern., 2022

No-reference image quality assessment by using convolutional neural networks via object detection.
Int. J. Mach. Learn. Cybern., 2022

Stable matching-based two-way selection in multi-label active learning with imbalanced data.
Inf. Sci., 2022

Multi-label Classification with High-rank and High-order Label Correlations.
CoRR, 2022

2021
Joint Optimization for Pairwise Constraint Propagation.
IEEE Trans. Neural Networks Learn. Syst., 2021

Set Theory-Based Operator Design in Evolutionary Algorithms for Solving Knapsack Problems.
IEEE Trans. Evol. Comput., 2021

Positive and Negative Label-Driven Nonnegative Matrix Factorization.
IEEE Trans. Circuits Syst. Video Technol., 2021

Active <i>k</i>-labelsets ensemble for multi-label classification.
Pattern Recognit., 2021

A study on the uncertainty of convolutional layers in deep neural networks.
Int. J. Mach. Learn. Cybern., 2021

An Adversarial sample defense method based on multi-scale GAN.
Int. J. Mach. Learn. Cybern., 2021

Bayesian network based label correlation analysis for multi-label classifier chain.
Inf. Sci., 2021

No-reference image quality assessment for contrast-changed images via a semi-supervised robust PCA model.
Inf. Sci., 2021

A semisupervised learning model based on fuzzy min-max neural networks for data classification.
Appl. Soft Comput., 2021

2020
Applying Exponential Family Distribution to Generalized Extreme Learning Machine.
IEEE Trans. Syst. Man Cybern. Syst., 2020

An analysis on the relationship between uncertainty and misclassification rate of classifiers.
Inf. Sci., 2020

Deep joint neural model for single image haze removal and color correction.
Inf. Sci., 2020

Generalized Adversarial Examples: Attacks and Defenses.
CoRR, 2020

A Review of Generalized Zero-Shot Learning Methods.
CoRR, 2020

A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications.
CoRR, 2020

2019
Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Sparse Bayesian Learning-Based Kernel Poisson Regression.
IEEE Trans. Cybern., 2019

Content-oriented image quality assessment with multi-label SVM classifier.
Signal Process. Image Commun., 2019

Editorial: Affective and sentimental computing.
Int. J. Mach. Learn. Cybern., 2019

Multi-criteria decision making based architecture selection for single-hidden layer feedforward neural networks.
Int. J. Mach. Learn. Cybern., 2019

An off-center technique: Learning a feature transformation to improve the performance of clustering and classification.
Inf. Sci., 2019

iMCRec: A multi-criteria framework for personalized point-of-interest recommendations.
Inf. Sci., 2019

An improved fuzzy ARTMAP and Q-learning agent model for pattern classification.
Neurocomputing, 2019

mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Multi-resident Activity Recognition Approach based on Frequent Itemset Mining Features.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Multi-Label Active Learning Driven by Uncertainty and Inconsistency.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

Feature Selection for Data Classification based on Binary Brain Storm Optimization.
Proceedings of the 6th IEEE International Conference on Cloud Computing and Intelligence Systems, 2019

2018
TaxiRec: Recommending Road Clusters to Taxi Drivers Using Ranking-Based Extreme Learning Machines.
IEEE Trans. Knowl. Data Eng., 2018

Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification.
IEEE Trans. Cybern., 2018

Discovering the impact of hidden layer parameters on non-iterative training of feed-forward neural networks.
Soft Comput., 2018

Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Incorporating Diversity and Informativeness in Multiple-Instance Active Learning.
IEEE Trans. Fuzzy Syst., 2017

Binary and Multi-Class Learning Based Low Complexity Optimization for HEVC Encoding.
IEEE Trans. Broadcast., 2017

2016
Ambiguity-Based Multiclass Active Learning.
IEEE Trans. Fuzzy Syst., 2016

Empirical analysis: stock market prediction via extreme learning machine.
Neural Comput. Appl., 2016

Exploring cell tower data dumps for supervised learning-based point-of-interest prediction (industrial paper).
GeoInformatica, 2016

2015
Segment Based Decision Tree Induction With Continuous Valued Attributes.
IEEE Trans. Cybern., 2015

Interval extreme learning machine for big data based on uncertainty reduction.
J. Intell. Fuzzy Syst., 2015

Natural image statistics based 3D reduced reference image quality assessment in contourlet domain.
Neurocomputing, 2015

Class-specific soft voting based multiple extreme learning machines ensemble.
Neurocomputing, 2015

Learning ELM-Tree from big data based on uncertainty reduction.
Fuzzy Sets Syst., 2015

Two-Level Stable Matching-Based Selection in MOEA/D.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014
A Hybrid Particle-Swarm Tabu Search Algorithm for Solving Job Shop Scheduling Problems.
IEEE Trans. Ind. Informatics, 2014

Fuzzy-Rough-Set-Based Active Learning.
IEEE Trans. Fuzzy Syst., 2014

Stable Matching-Based Selection in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2014

A New Approach to Classifier Fusion Based on Upper Integral.
IEEE Trans. Cybern., 2014

Active learning with multi-criteria decision making systems.
Pattern Recognit., 2014

Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis.
Inf. Sci., 2014

Fast prediction of protein-protein interaction sites based on Extreme Learning Machines.
Neurocomputing, 2014

AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Exploring cell tower data dumps for supervised learning-based point-of-interest prediction.
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014

Using multi-criteria decision making for personalized point-of-interest recommendations.
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014

2013
A vector-valued support vector machine model for multiclass problem.
Inf. Sci., 2013

Learning paradigm based on jumping genes: A general framework for enhancing exploration in evolutionary multiobjective optimization.
Inf. Sci., 2013

2012
A study on random weights between input and hidden layers in extreme learning machine.
Soft Comput., 2012

Inconsistency-based active learning for support vector machines.
Pattern Recognit., 2012

A noise-detection based AdaBoost algorithm for mislabeled data.
Pattern Recognit., 2012

Multi-objective differential evolution with self-navigation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Fuzzy rough sets based uncertainty measuring for stream based active learning.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

A weighted voting method using minimum square error based on Extreme Learning Machine.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011
A new method for multi-class support vector machines by training least number of classifiers.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010
Active learning based on support vector machines.
Proceedings of the IEEE International Conference on Systems, 2010

Sample selection based on maximum entropy for support vector machines.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2008
Parametric tuning of rule-based systems by maximum fuzzy entropy.
Proceedings of the IEEE International Conference on Systems, 2008

2007
A sample selection algorithm in fuzzy decision tree induction and its theoretical analyses.
Proceedings of the IEEE International Conference on Systems, 2007


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