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 89 papers between 2007 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

AME-LSIFT: Attention-Aware Multi-Label Ensemble With Label Subset-SpecIfic FeaTures.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

Structure-based, deep-learning models for protein-ligand binding affinity prediction.

[BibT_eX]

[DOI]

Debby D. Wang

Wenhui Wu

Ran Wang

J. Cheminformatics, December, 2024

Ensemble Clustering via Co-Association Matrix Self-Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Adversarially robust neural networks with feature uncertainty learning and label embedding.

[BibT_eX]

[DOI]

Neural Networks, 2024

Attribute reduction with fuzzy kernel-induced relations.

[BibT_eX]

[DOI]

Inf. Sci., 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Extending version-space theory to multi-label active learning with imbalanced data.

[BibT_eX]

[DOI]

Ran Wang

Shuyue Chen

Yu Yu

Pattern Recognit., October, 2023

A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2023

A meta-framework for multi-label active learning based on deep reinforcement learning.

[BibT_eX]

[DOI]

Shuyue Chen

Ran Wang

Jian Lu

Neural Networks, May, 2023

Generative face inpainting hashing for occluded face retrieval.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., May, 2023

A Review of Generalized Zero-Shot Learning Methods.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

A review of artificial fish swarm algorithms: recent advances and applications.

[BibT_eX]

[DOI]

Artif. Intell. Rev., March, 2023

Adversarial Learning With Cost-Sensitive Classes.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2023

Self-representative kernel concept factorization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Improving the Adversarial Robustness of Deep Neural Networks via Efficient Two-Stage Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2022

Fuzzy Monotonic K-Nearest Neighbor Versus Monotonic Fuzzy K-Nearest Neighbor.

[BibT_eX]

[DOI]

Hong Zhu

Xizhao Wang

Ran Wang

IEEE Trans. Fuzzy Syst., 2022

Towards improving fast adversarial training in multi-exit network.

[BibT_eX]

[DOI]

Neural Networks, 2022

CSHE: network pruning by using cluster similarity and matrix eigenvalues.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

Network pruning via probing the importance of filters.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

No-reference image quality assessment by using convolutional neural networks via object detection.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

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

[BibT_eX]

[DOI]

Inf. Sci., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

2021

Joint Optimization for Pairwise Constraint Propagation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Set Theory-Based Operator Design in Evolutionary Algorithms for Solving Knapsack Problems.

[BibT_eX]

[DOI]

Ran Wang

Zichao Zhang

IEEE Trans. Evol. Comput., 2021

Positive and Negative Label-Driven Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Active <i>k</i>-labelsets ensemble for multi-label classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

A study on the uncertainty of convolutional layers in deep neural networks.

[BibT_eX]

[DOI]

Haojing Shen

Sihong Chen

Ran Wang

Int. J. Mach. Learn. Cybern., 2021

An Adversarial sample defense method based on multi-scale GAN.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2021

Bayesian network based label correlation analysis for multi-label classifier chain.

[BibT_eX]

[DOI]

Inf. Sci., 2021

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

[BibT_eX]

[DOI]

Inf. Sci., 2021

A semisupervised learning model based on fuzzy min-max neural networks for data classification.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

2020

Applying Exponential Family Distribution to Generalized Extreme Learning Machine.

[BibT_eX]

[DOI]

Yuheng Jia

Sam Kwong

Ran Wang

IEEE Trans. Syst. Man Cybern. Syst., 2020

An analysis on the relationship between uncertainty and misclassification rate of classifiers.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Deep joint neural model for single image haze removal and color correction.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Generalized Adversarial Examples: Attacks and Defenses.

[BibT_eX]

[DOI]

CoRR, 2020

A Review of Generalized Zero-Shot Learning Methods.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

2019

Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks.

[BibT_eX]

[DOI]

Xi-Zhao Wang

Tianlun Zhang

Ran Wang

IEEE Trans. Syst. Man Cybern. Syst., 2019

Sparse Bayesian Learning-Based Kernel Poisson Regression.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Content-oriented image quality assessment with multi-label SVM classifier.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2019

Editorial: Affective and sentimental computing.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2019

Multi-criteria decision making based architecture selection for single-hidden layer feedforward neural networks.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2019

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

[BibT_eX]

[DOI]

Inf. Sci., 2019

iMCRec: A multi-criteria framework for personalized point-of-interest recommendations.

[BibT_eX]

[DOI]

Inf. Sci., 2019

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

[BibT_eX]

[DOI]

Neurocomputing, 2019

mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Multi-resident Activity Recognition Approach based on Frequent Itemset Mining Features.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Multi-Label Active Learning Driven by Uncertainty and Inconsistency.

[BibT_eX]

[DOI]

Ran Wang

Suhe Ye

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

Feature Selection for Data Classification based on Binary Brain Storm Optimization.

[BibT_eX]

[DOI]

Farhad Pourpanah

Ran Wang

Xizhao Wang

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.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification.

[BibT_eX]

[DOI]

Xi-Zhao Wang

Ran Wang

Chen Xu

IEEE Trans. Cybern., 2018

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

[BibT_eX]

[DOI]

Soft Comput., 2018

Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Incorporating Diversity and Informativeness in Multiple-Instance Active Learning.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2017

Binary and Multi-Class Learning Based Low Complexity Optimization for HEVC Encoding.

[BibT_eX]

[DOI]

IEEE Trans. Broadcast., 2017

2016

Ambiguity-Based Multiclass Active Learning.

[BibT_eX]

[DOI]

Ran Wang

Chi-Yin Chow

Sam Kwong

IEEE Trans. Fuzzy Syst., 2016

Empirical analysis: stock market prediction via extreme learning machine.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2016

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

[BibT_eX]

[DOI]

GeoInformatica, 2016

2015

Segment Based Decision Tree Induction With Continuous Valued Attributes.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Interval extreme learning machine for big data based on uncertainty reduction.

[BibT_eX]

[DOI]

Yingjie Li

Ran Wang

Simon C. K. Shiu

J. Intell. Fuzzy Syst., 2015

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

[BibT_eX]

[DOI]

Neurocomputing, 2015

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

[BibT_eX]

[DOI]

Neurocomputing, 2015

Learning ELM-Tree from big data based on uncertainty reduction.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2015

Two-Level Stable Matching-Based Selection in MOEA/D.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014

A Hybrid Particle-Swarm Tabu Search Algorithm for Solving Job Shop Scheduling Problems.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2014

Fuzzy-Rough-Set-Based Active Learning.

[BibT_eX]

[DOI]

Ran Wang

Degang Chen

Sam Kwong

IEEE Trans. Fuzzy Syst., 2014

Stable Matching-Based Selection in Evolutionary Multiobjective Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2014

A New Approach to Classifier Fusion Based on Upper Integral.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Active learning with multi-criteria decision making systems.

[BibT_eX]

[DOI]

Ran Wang

Sam Kwong

Pattern Recognit., 2014

Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis.

[BibT_eX]

[DOI]

Inf. Sci., 2014

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

[BibT_eX]

[DOI]

Debby Dan Wang

Ran Wang

Hong Yan

Neurocomputing, 2014

AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Inf. Sci., 2013

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

[BibT_eX]

[DOI]

Inf. Sci., 2013

2012

A study on random weights between input and hidden layers in extreme learning machine.

[BibT_eX]

[DOI]

Ran Wang

Sam Kwong

Xizhao Wang

Soft Comput., 2012

Inconsistency-based active learning for support vector machines.

[BibT_eX]

[DOI]

Ran Wang

Sam Kwong

Degang Chen

Pattern Recognit., 2012

A noise-detection based AdaBoost algorithm for mislabeled data.

[BibT_eX]

[DOI]

Jingjing Cao

Sam Kwong

Ran Wang

Pattern Recognit., 2012

Multi-objective differential evolution with self-navigation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Fuzzy rough sets based uncertainty measuring for stream based active learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

A weighted voting method using minimum square error based on Extreme Learning Machine.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ran Wang

Sam Kwong

Degang Chen

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010

Active learning based on support vector machines.

[BibT_eX]

[DOI]

Ran Wang

Sam Kwong

Qiang He

Proceedings of the IEEE International Conference on Systems, 2010

Sample selection based on maximum entropy for support vector machines.

[BibT_eX]

[DOI]

Ran Wang

Sam Kwong

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2008

Parametric tuning of rule-based systems by maximum fuzzy entropy.

[BibT_eX]

[DOI]

Chun-Ru Dong

Ran Wang

Xi-Zhao Wang

Proceedings of the IEEE International Conference on Systems, 2008

2007

A sample selection algorithm in fuzzy decision tree induction and its theoretical analyses.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2007

Ran Wang

Timeline

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