A sample selection algorithm in fuzzy decision tree induction and its theoretical analyses. - Xi-Zhao Wang; Jian-Hui Yan; Ran Wang 001; Chun-Ru Dong (SMC, 2007)

Parametric tuning of rule-based systems by maximum fuzzy entropy. - Chun-Ru Dong; Ran Wang 001; Xi-Zhao Wang (SMC, 2008)

Sample selection based on maximum entropy for support vector machines. - Ran Wang 001; Sam Kwong (ICMLC, 2010)

Active learning based on support vector machines. - Ran Wang 001; Sam Kwong; Qiang He 003 (SMC, 2010)

A new method for multi-class support vector machines by training least number of classifiers. - Ran Wang 001; Sam Kwong; Degang Chen 002 (ICMLC, 2011)

A weighted voting method using minimum square error based on Extreme Learning Machine. - Jingjing Cao; Sam Kwong; Ran Wang 001; Ke Li 001 (ICMLC, 2012)

Fuzzy rough sets based uncertainty measuring for stream based active learning. - Ran Wang 001; Sam Kwong; Degang Chen 002; Qiang He 003 (ICMLC, 2012)

Multi-objective differential evolution with self-navigation. - Ke Li 001; Sam Kwong; Ran Wang 001; Jingjing Cao; Imre J. Rudas (SMC, 2012)

A noise-detection based AdaBoost algorithm for mislabeled data. - Jingjing Cao; Sam Kwong; Ran Wang 001 (Pattern Recognit., 2012)

Inconsistency-based active learning for support vector machines. - Ran Wang 001; Sam Kwong; Degang Chen 002 (Pattern Recognit., 2012)

A study on random weights between input and hidden layers in extreme learning machine. - Ran Wang 001; Sam Kwong; Xizhao Wang (Soft Comput., 2012)

Learning paradigm based on jumping genes: A general framework for enhancing exploration in evolutionary multiobjective optimization. - Ke Li 001; Sam Kwong; Ran Wang 001; Kit-Sang Tang; Kim-Fung Man (Inf. Sci., 2013)

A vector-valued support vector machine model for multiclass problem. - Ran Wang 001; Sam Kwong; Degang Chen 002; Jingjing Cao (Inf. Sci., 2013)

Using multi-criteria decision making for personalized point-of-interest recommendations. - Yan Lyu; Chi-Yin Chow; Ran Wang 001; Victor C. S. Lee (SIGSPATIAL/GIS, 2014)

Exploring cell tower data dumps for supervised learning-based point-of-interest prediction. - Ran Wang 001; Chi-Yin Chow; Sarana Nutanong; Yan Lyu; Yanhua Li; Mingxuan Yuan; Victor C. S. Lee (SIGSPATIAL/GIS, 2014)

AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble. - Jingjing Cao; Sam Kwong; Ran Wang 001; Ke Li 001 (ICMLC, 2014)

Fast prediction of protein-protein interaction sites based on Extreme Learning Machines. - Debby Dan Wang; Ran Wang 001; Hong Yan 001 (Neurocomputing, 2014)

Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis. - Yu-Lin He; Ran Wang 001; Sam Kwong; Xi-Zhao Wang (Inf. Sci., 2014)

Active learning with multi-criteria decision making systems. - Ran Wang 001; Sam Kwong (Pattern Recognit., 2014)

A New Approach to Classifier Fusion Based on Upper Integral. - Xi-Zhao Wang; Ran Wang 001; Hui-Min Feng; Hua-Chao Wang (IEEE Trans. Cybern., 2014)

Stable Matching-Based Selection in Evolutionary Multiobjective Optimization. - Ke Li 001; Qingfu Zhang 001; Sam Kwong; Miqing Li; Ran Wang 001 (IEEE Trans. Evol. Comput., 2014)

Fuzzy-Rough-Set-Based Active Learning. - Ran Wang 001; Degang Chen 002; Sam Kwong (IEEE Trans. Fuzzy Syst., 2014)

A Hybrid Particle-Swarm Tabu Search Algorithm for Solving Job Shop Scheduling Problems. - Hao Gao 005; Sam Kwong; Baojie Fan; Ran Wang 001 (IEEE Trans. Ind. Informatics, 2014)

Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network. - Ran Wang 001; Sam Kwong; Qingshan Jiang; Ka-Chun Wong (SMC, 2015)

Two-Level Stable Matching-Based Selection in MOEA/D. - Mengyuan Wu; Sam Kwong; Qingfu Zhang 001; Ke Li 001; Ran Wang 001; Bo Liu 003 (SMC, 2015)

Learning ELM-Tree from big data based on uncertainty reduction. - Ran Wang 001; Yu-Lin He; Chi-Yin Chow; Fang-Fang Ou; Jian Zhang (Fuzzy Sets Syst., 2015)

Class-specific soft voting based multiple extreme learning machines ensemble. - Jingjing Cao; Sam Kwong; Ran Wang 001; Xiaodong Li 007; Ke Li 001; Xiangfei Kong (Neurocomputing, 2015)

Natural image statistics based 3D reduced reference image quality assessment in contourlet domain. - Xu Wang 006; Qiong Liu 001; Ran Wang 001; Zhuo Chen (Neurocomputing, 2015)

Interval extreme learning machine for big data based on uncertainty reduction. - Yingjie Li 006; Ran Wang 001; Simon C. K. Shiu (J. Intell. Fuzzy Syst., 2015)

Segment Based Decision Tree Induction With Continuous Valued Attributes. - Ran Wang 001; Sam Kwong; Xizhao Wang; Qingshan Jiang (IEEE Trans. Cybern., 2015)

Exploring cell tower data dumps for supervised learning-based point-of-interest prediction (industrial paper). - Ran Wang 001; Chi-Yin Chow; Yan Lyu; Victor C. S. Lee; Sarana Nutanong; Yanhua Li; Mingxuan Yuan (GeoInformatica, 2016)

Empirical analysis: stock market prediction via extreme learning machine. - Xiaodong Li 007; Haoran Xie 001; Ran Wang 001; Yi Cai 001; Jingjing Cao; Feng Wang 048; Huaqing Min; Xiaotie Deng (Neural Comput. Appl., 2016)

Ambiguity-Based Multiclass Active Learning. - Ran Wang 001; Chi-Yin Chow; Sam Kwong (IEEE Trans. Fuzzy Syst., 2016)

Binary and Multi-Class Learning Based Low Complexity Optimization for HEVC Encoding. - Linwei Zhu; Yun Zhang 002; Zhaoqing Pan; Ran Wang 001; Sam Kwong; Zongju Peng (IEEE Trans. Broadcast., 2017)

Incorporating Diversity and Informativeness in Multiple-Instance Active Learning. - Ran Wang 001; Xi-Zhao Wang; Sam Kwong; Chen Xu 004 (IEEE Trans. Fuzzy Syst., 2017)

Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification. - Ran Wang 001; Sam Kwong; Yuheng Jia; Zhiqi Huang; Lang Wu (FUZZ-IEEE, 2018)

Discovering the impact of hidden layer parameters on non-iterative training of feed-forward neural networks. - Zhiqi Huang; Ran Wang 001; Hong Zhu 011; Jie Zhu (Soft Comput., 2018)

Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification. - Xi-Zhao Wang; Ran Wang 001; Chen Xu 004 (IEEE Trans. Cybern., 2018)

TaxiRec: Recommending Road Clusters to Taxi Drivers Using Ranking-Based Extreme Learning Machines. - Ran Wang 001; Chi-Yin Chow; Yan Lyu; Victor C. S. Lee; Sam Kwong; Yanhua Li; Jia Zeng (IEEE Trans. Knowl. Data Eng., 2018)

Feature Selection for Data Classification based on Binary Brain Storm Optimization. - Farhad Pourpanah; Ran Wang 001; Xizhao Wang (CCIS, 2019)

Multi-Label Active Learning Driven by Uncertainty and Inconsistency. - Ran Wang 001; Suhe Ye (ICMLC, 2019)

A Multi-resident Activity Recognition Approach based on Frequent Itemset Mining Features. - Wenjing Yuan; Jingjing Cao; Zeyi Jin; Fei Xia; Ran Wang 001 (INDIN, 2019)

mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems. - Farhad Pourpanah; Ran Wang 001; Xizhao Wang; Yuhui Shi 001; Danial Yazdani (SSCI, 2019)

An improved fuzzy ARTMAP and Q-learning agent model for pattern classification. - Farhad Pourpanah; Ran Wang 001; Chee Peng Lim; Xizhao Wang; Manjeevan Seera; Choo Jun Tan (Neurocomputing, 2019)

iMCRec: A multi-criteria framework for personalized point-of-interest recommendations. - Yan Lyu; Chi-Yin Chow; Ran Wang 001; Victor C. S. Lee (Inf. Sci., 2019)

An off-center technique: Learning a feature transformation to improve the performance of clustering and classification. - Dasen Yan; Xinlei Zhou; Xizhao Wang; Ran Wang 001 (Inf. Sci., 2019)

Multi-criteria decision making based architecture selection for single-hidden layer feedforward neural networks. - Ran Wang 001; Haoran Xie 001; Jiqiang Feng; Fu Lee Wang; Chen Xu 004 (Int. J. Mach. Learn. Cybern., 2019)

Editorial: Affective and sentimental computing. - Haoran Xie 001; Tak-Lam Wong; Fu Lee Wang; Raymond K. Wong 001; Xiaohui Tao 001; Ran Wang 001 (Int. J. Mach. Learn. Cybern., 2019)

Content-oriented image quality assessment with multi-label SVM classifier. - Jingchao Cao; Shiqi Wang 001; Ran Wang 001; Xinfeng Zhang 001; Sam Kwong (Signal Process. Image Commun., 2019)

Sparse Bayesian Learning-Based Kernel Poisson Regression. - Yuheng Jia; Sam Kwong; Wenhui Wu 001; Ran Wang 001; Wei Gao 003 (IEEE Trans. Cybern., 2019)

Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks. - Xi-Zhao Wang; Tianlun Zhang; Ran Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications. - Farhad Pourpanah; Ran Wang 001; Chee Peng Lim; Danial Yazdani (CoRR, 2020)

A Review of Generalized Zero-Shot Learning Methods. - Farhad Pourpanah; Moloud Abdar; Yuxuan Luo; Xinlei Zhou; Ran Wang 001; Chee Peng Lim; Xi-Zhao Wang (CoRR, 2020)

Generalized Adversarial Examples: Attacks and Defenses. - Haojing Shen; Sihong Chen; Ran Wang 001; Xizhao Wang (CoRR, 2020)

Deep joint neural model for single image haze removal and color correction. - Tianlun Zhang; Xi Yang; Xizhao Wang; Ran Wang 001 (Inf. Sci., 2020)

An analysis on the relationship between uncertainty and misclassification rate of classifiers. - Xinlei Zhou; Xizhao Wang; Cong Hu; Ran Wang 001 (Inf. Sci., 2020)

Applying Exponential Family Distribution to Generalized Extreme Learning Machine. - Yuheng Jia; Sam Kwong; Ran Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

A semisupervised learning model based on fuzzy min-max neural networks for data classification. - Farhad Pourpanah; Di Wang; Ran Wang 001; Chee Peng Lim (Appl. Soft Comput., 2021)

No-reference image quality assessment for contrast-changed images via a semi-supervised robust PCA model. - Jingchao Cao; Ran Wang 001; Yuheng Jia; Xinfeng Zhang 001; Shiqi Wang 001; Sam Kwong (Inf. Sci., 2021)

Bayesian network based label correlation analysis for multi-label classifier chain. - Ran Wang 001; Suhe Ye; Ke Li 001; Sam Kwong (Inf. Sci., 2021)

An Adversarial sample defense method based on multi-scale GAN. - Mingwen Shao; Shuqi Liu; Ran Wang 001; Gaozhi Zhang (Int. J. Mach. Learn. Cybern., 2021)

A study on the uncertainty of convolutional layers in deep neural networks. - Haojing Shen; Sihong Chen; Ran Wang 001 (Int. J. Mach. Learn. Cybern., 2021)

Active k-labelsets ensemble for multi-label classification. - Ran Wang 001; Sam Kwong; Xu Wang 006; Yuheng Jia (Pattern Recognit., 2021)

Positive and Negative Label-Driven Nonnegative Matrix Factorization. - Wenhui Wu 001; Yuheng Jia; Shiqi Wang 001; Ran Wang 001; Hongfei Fan; Sam Kwong (IEEE Trans. Circuits Syst. Video Technol., 2021)

Set Theory-Based Operator Design in Evolutionary Algorithms for Solving Knapsack Problems. - Ran Wang 001; Zichao Zhang (IEEE Trans. Evol. Comput., 2021)

Joint Optimization for Pairwise Constraint Propagation. - Yuheng Jia; Wenhui Wu 001; Ran Wang 001; Junhui Hou; Sam Kwong (IEEE Trans. Neural Networks Learn. Syst., 2021)

Stable matching-based two-way selection in multi-label active learning with imbalanced data. - Shuyue Chen; Ran Wang 001; Jian Lu 002; Xizhao Wang (Inf. Sci., 2022)

No-reference image quality assessment by using convolutional neural networks via object detection. - Jingchao Cao; Wenhui Wu 001; Ran Wang 001; Sam Kwong (Int. J. Mach. Learn. Cybern., 2022)

Network pruning via probing the importance of filters. - Jiandong Kuang; Mingwen Shao; Ran Wang 001; Wangmeng Zuo; Weiping Ding 001 (Int. J. Mach. Learn. Cybern., 2022)

CSHE: network pruning by using cluster similarity and matrix eigenvalues. - Mingwen Shao; Junhui Dai; Ran Wang 001; Jiandong Kuang; Wangmeng Zuo (Int. J. Mach. Learn. Cybern., 2022)

Towards improving fast adversarial training in multi-exit network. - Sihong Chen; Haojing Shen; Ran Wang 001; Xizhao Wang (Neural Networks, 2022)

Fuzzy Monotonic K-Nearest Neighbor Versus Monotonic Fuzzy K-Nearest Neighbor. - Hong Zhu 011; Xizhao Wang; Ran Wang 001 (IEEE Trans. Fuzzy Syst., 2022)

Improving the Adversarial Robustness of Deep Neural Networks via Efficient Two-Stage Training. - Ran Wang 001; Jingyu Xiong; Haopeng Ke; Yuheng Jia; Debby Dan Wang (ICMLC, 2023)

Self-representative kernel concept factorization. - Wenhui Wu 001; Yujie Chen; Ran Wang 001; Le Ou-Yang (Knowl. Based Syst., 2023)

Adversarial Learning With Cost-Sensitive Classes. - Haojing Shen; Sihong Chen; Ran Wang 001; Xizhao Wang (IEEE Trans. Cybern., 2023)

A review of artificial fish swarm algorithms: recent advances and applications. - Farhad Pourpanah; Ran Wang 001; Chee Peng Lim; Xi-Zhao Wang; Danial Yazdani (Artif. Intell. Rev., 2023)

A Review of Generalized Zero-Shot Learning Methods. - Farhad Pourpanah; Moloud Abdar; Yuxuan Luo; Xinlei Zhou; Ran Wang 001; Chee Peng Lim; Xi-Zhao Wang; Q. M. Jonathan Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Generative face inpainting hashing for occluded face retrieval. - Yuxiang Yang; Xing Tian; Wing W. Y. Ng; Ran Wang 001; Ying Gao 004; Sam Kwong (Int. J. Mach. Learn. Cybern., 2023)

A meta-framework for multi-label active learning based on deep reinforcement learning. - Shuyue Chen; Ran Wang 001; Jian Lu 002 (Neural Networks, 2023)

A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness. - Lin Xiao 002; Yongjun He 001; Yaonan Wang 001; Jianhua Dai; Ran Wang 001; Wensheng Tang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Extending version-space theory to multi-label active learning with imbalanced data. - Ran Wang 001; Shuyue Chen; Yu Yu (Pattern Recognit., 2023)

Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation. - Yuheng Jia; Xiaorui Peng; Ran Wang 001; Min-Ling Zhang (AAAI, 2024)

Uncertainty-Aware Modeling for Improving Prediction of Toxicity. - Xinlei Zhou; Xizhao Wang; Xinpeng Zhou; Siwu Tu; Ran Wang 001 (ICMLC, 2024)

On the Adversarial Robustness of Hierarchical Classification. - Ran Wang 001; Simeng Zeng; Wenhui Wu 001; Yuheng Jia; Wing W. Y. Ng; Xizhao Wang (SMC, 2024)

MCD: Defense Against Query-Based Black-Box Surrogate Attacks. - Yiwen Zou; Wing W. Y. Ng; Xueli Zhang; Brick Loo; Xingfu Yan; Ran Wang 001 (SMC, 2024)

Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation. - Yuheng Jia; Jia-Nan Li; Wenhui Wu 001; Ran Wang 001 (CoRR, 2024)

Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering. - Xu Zhang; Yuheng Jia; Mofei Song; Ran Wang 001 (CoRR, 2024)

Attribute reduction with fuzzy kernel-induced relations. - Meng Hu; Yanting Guo; Ran Wang 001; Xizhao Wang (Inf. Sci., 2024)

Adversarially robust neural networks with feature uncertainty learning and label embedding. - Ran Wang 001; Haopeng Ke; Meng Hu; Wenhui Wu 001 (Neural Networks, 2024)

Multi-Label Classification With High-Rank and High-Order Label Correlations. - Chongjie Si; Yuheng Jia; Ran Wang 001; Min-Ling Zhang; Yanghe Feng; Chongxiao Qu (IEEE Trans. Knowl. Data Eng., 2024)

Ensemble Clustering via Co-Association Matrix Self-Enhancement. - Yuheng Jia; Sirui Tao; Ran Wang 001; Yongheng Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Structure-based, deep-learning models for protein-ligand binding affinity prediction. - Debby D. Wang; Wenhui Wu 001; Ran Wang 001 (J. Cheminformatics, 2024)

AME-LSIFT: Attention-Aware Multi-Label Ensemble With Label Subset-SpecIfic FeaTures. - Xinyin Zhang; Ran Wang 001; Shuyue Chen; Yuheng Jia; Debby Dan Wang (IEEE Trans. Knowl. Data Eng., 2024)

GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling. - Yujie Chen; Wenhui Wu 001; Le Ou-Yang; Ran Wang 001; Debby D. Wang (AAAI, 2025)

Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning. - Xiaorui Peng; Yuheng Jia; Fuchao Yang; Ran Wang 001; Min-Ling Zhang (ICLR, 2025)

GRESS: Grouping Belief-Based Deep Contrastive Subspace Clustering. - Yujie Chen; Wenhui Wu 001; Le Ou-Yang; Ran Wang 001; Sam Kwong (IEEE Trans. Cybern., 2025)

Semi-Supervised Symmetric Non-Negative Matrix Factorization With Low-Rank Tensor Representation. - Yuheng Jia; Jia-Nan Li; Wenhui Wu 001; Ran Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Feature Statistics with Uncertainty Help Adversarial Robustness. - Ran Wang 001; Xinlei Zhou; Rihao Li; Meng Hu; Wenhui Wu 001; Yuheng Jia (CoRR, 2025)

An Embedded Unlabeled Data Partitioning PU-Learning Method Based on Genetic Programming. - Yu Zhou 027; Nanjian Yang; Ran Wang 001 (IEEE Trans. Comput. Soc. Syst., 2025)