Ran Wang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 56

Top Topics

Dynamic Optimization Problems

Matrix Factorization

Extreme Learning Machines

Top Venues

IEEE Trans. Cybern.

Int. J. Mach. Learn. Cybern.

Publications

Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang
Ensemble Clustering via Co-Association Matrix Self-Enhancement. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Ran Wang, Haopeng Ke, Meng Hu, Wenhui Wu
Adversarially robust neural networks with feature uncertainty learning and label embedding. Neural Networks 172 (2024)
Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang
Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation. CoRR (2024)
Meng Hu, Yanting Guo, Ran Wang, Xizhao Wang
Attribute reduction with fuzzy kernel-induced relations. Inf. Sci. 669 (2024)
Yuheng Jia, Xiaorui Peng, Ran Wang, Min-Ling Zhang
Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation. AAAI (2024)
Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu
A Review of Generalized Zero-Shot Learning Methods. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Lin Xiao, Yongjun He, Yaonan Wang, Jianhua Dai, Ran Wang, Wensheng Tang
A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Ran Wang, Shuyue Chen, Yu Yu
Extending version-space theory to multi-label active learning with imbalanced data. Pattern Recognit. 142 (2023)
Wenhui Wu, Yujie Chen, Ran Wang, Le Ou-Yang
Self-representative kernel concept factorization. Knowl. Based Syst. 259 (2023)
Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang
Adversarial Learning With Cost-Sensitive Classes. IEEE Trans. Cybern. 53 (8) (2023)
Ran Wang, Jingyu Xiong, Haopeng Ke, Yuheng Jia, Debby Dan Wang
Improving the Adversarial Robustness of Deep Neural Networks via Efficient Two-Stage Training. ICMLC (2023)
Shuyue Chen, Ran Wang, Jian Lu
A meta-framework for multi-label active learning based on deep reinforcement learning. Neural Networks 162 (2023)
Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Danial Yazdani
A review of artificial fish swarm algorithms: recent advances and applications. Artif. Intell. Rev. 56 (3) (2023)
Sihong Chen, Haojing Shen, Ran Wang, Xizhao Wang
Towards improving fast adversarial training in multi-exit network. Neural Networks 150 (2022)
Chongjie Si, Yuheng Jia, Ran Wang, Min-Ling Zhang, Yanghe Feng, Chongxiao Qu
Multi-label Classification with High-rank and High-order Label Correlations. CoRR (2022)
Jingchao Cao, Wenhui Wu, Ran Wang, Sam Kwong
No-reference image quality assessment by using convolutional neural networks via object detection. Int. J. Mach. Learn. Cybern. 13 (11) (2022)
Hong Zhu, Xizhao Wang, Ran Wang
Fuzzy Monotonic K-Nearest Neighbor Versus Monotonic Fuzzy K-Nearest Neighbor. IEEE Trans. Fuzzy Syst. 30 (9) (2022)
Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang
Ensemble Clustering via Co-association Matrix Self-enhancement. CoRR (2022)
Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang
Adversarial Learning with Cost-Sensitive Classes. CoRR (2021)
Wenhui Wu, Yuheng Jia, Shiqi Wang, Ran Wang, Hongfei Fan, Sam Kwong
Positive and Negative Label-Driven Nonnegative Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. 31 (7) (2021)
Yuheng Jia, Wenhui Wu, Ran Wang, Junhui Hou, Sam Kwong
Joint Optimization for Pairwise Constraint Propagation. IEEE Trans. Neural Networks Learn. Syst. 32 (7) (2021)
Ran Wang, Sam Kwong, Xu Wang, Yuheng Jia
-labelsets ensemble for multi-label classification. Pattern Recognit. 109 (2021)
Ran Wang, Suhe Ye, Ke Li, Sam Kwong
Bayesian network based label correlation analysis for multi-label classifier chain. Inf. Sci. 554 (2021)
Farhad Pourpanah, Di Wang, Ran Wang, Chee Peng Lim
A semisupervised learning model based on fuzzy min-max neural networks for data classification. Appl. Soft Comput. 112 (2021)
Haojing Shen, Sihong Chen, Ran Wang
A study on the uncertainty of convolutional layers in deep neural networks. Int. J. Mach. Learn. Cybern. 12 (6) (2021)
Ran Wang, Zichao Zhang
Set Theory-Based Operator Design in Evolutionary Algorithms for Solving Knapsack Problems. IEEE Trans. Evol. Comput. 25 (6) (2021)
Jingchao Cao, Ran Wang, Yuheng Jia, Xinfeng Zhang, Shiqi Wang, Sam Kwong
No-reference image quality assessment for contrast-changed images via a semi-supervised robust PCA model. Inf. Sci. 574 (2021)
Farhad Pourpanah, Ran Wang, Chee Peng Lim, Danial Yazdani
A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications. CoRR (2020)
Yuheng Jia, Sam Kwong, Ran Wang
Applying Exponential Family Distribution to Generalized Extreme Learning Machine. IEEE Trans. Syst. Man Cybern. Syst. 50 (5) (2020)
Xinlei Zhou, Xizhao Wang, Cong Hu, Ran Wang
An analysis on the relationship between uncertainty and misclassification rate of classifiers. Inf. Sci. 535 (2020)
Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang
A Review of Generalized Zero-Shot Learning Methods. CoRR (2020)
Tianlun Zhang, Xi Yang, Xizhao Wang, Ran Wang
Deep joint neural model for single image haze removal and color correction. Inf. Sci. 541 (2020)
Haojing Shen, Sihong Chen, Ran Wang
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks. CoRR (2020)
Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang
Generalized Adversarial Examples: Attacks and Defenses. CoRR (2020)
Yan Lyu, Chi-Yin Chow, Ran Wang, Victor C. S. Lee
iMCRec: A multi-criteria framework for personalized point-of-interest recommendations. Inf. Sci. 483 (2019)
Dasen Yan, Xinlei Zhou, Xizhao Wang, Ran Wang
An off-center technique: Learning a feature transformation to improve the performance of clustering and classification. Inf. Sci. 503 (2019)
Yuheng Jia, Sam Kwong, Wenhui Wu, Ran Wang, Wei Gao
Sparse Bayesian Learning-Based Kernel Poisson Regression. IEEE Trans. Cybern. 49 (1) (2019)
Ran Wang, Haoran Xie, Jiqiang Feng, Fu Lee Wang, Chen Xu
Multi-criteria decision making based architecture selection for single-hidden layer feedforward neural networks. Int. J. Mach. Learn. Cybern. 10 (4) (2019)
Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xizhao Wang, Manjeevan Seera, Choo Jun Tan
An improved fuzzy ARTMAP and Q-learning agent model for pattern classification. Neurocomputing 359 (2019)
Jingchao Cao, Shiqi Wang, Ran Wang, Xinfeng Zhang, Sam Kwong
Content-oriented image quality assessment with multi-label SVM classifier. Signal Process. Image Commun. 78 (2019)
Farhad Pourpanah, Ran Wang, Xizhao Wang, Yuhui Shi, Danial Yazdani
mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems. SSCI (2019)
Xi-Zhao Wang, Tianlun Zhang, Ran Wang
Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 49 (7) (2019)
Haoran Xie, Tak-Lam Wong, Fu Lee Wang, Raymond Wong, Xiaohui Tao, Ran Wang
Editorial: Affective and sentimental computing. Int. J. Mach. Learn. Cybern. 10 (8) (2019)
Ran Wang, Suhe Ye
Multi-Label Active Learning Driven by Uncertainty and Inconsistency. ICMLC (2019)
Ran Wang, Suhe Ye, Ke Li, Sam Kwong
Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain. CoRR (2019)
Wenjing Yuan, Jingjing Cao, Zeyi Jin, Fei Xia, Ran Wang
A Multi-resident Activity Recognition Approach based on Frequent Itemset Mining Features. INDIN (2019)
Farhad Pourpanah, Ran Wang, Xizhao Wang
Feature Selection for Data Classification based on Binary Brain Storm Optimization. CCIS (2019)
Zhiqi Huang, Ran Wang, Hong Zhu, Jie Zhu
Discovering the impact of hidden layer parameters on non-iterative training of feed-forward neural networks. Soft Comput. 22 (11) (2018)
Ran Wang, Chi-Yin Chow, Yan Lyu, Victor C. S. Lee, Sam Kwong, Yanhua Li, Jia Zeng
TaxiRec: Recommending Road Clusters to Taxi Drivers Using Ranking-Based Extreme Learning Machines. IEEE Trans. Knowl. Data Eng. 30 (3) (2018)
Xi-Zhao Wang, Ran Wang, Chen Xu
Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification. IEEE Trans. Cybern. 48 (2) (2018)
Ran Wang, Sam Kwong, Yuheng Jia, Zhiqi Huang, Lang Wu
Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification. FUZZ-IEEE (2018)
Ran Wang, Xi-Zhao Wang, Sam Kwong, Chen Xu
Incorporating Diversity and Informativeness in Multiple-Instance Active Learning. IEEE Trans. Fuzzy Syst. 25 (6) (2017)
Linwei Zhu, Yun Zhang, Zhaoqing Pan, Ran Wang, Sam Kwong, Zongju Peng
Binary and Multi-Class Learning Based Low Complexity Optimization for HEVC Encoding. IEEE Trans. Broadcast. 63 (3) (2017)
Ran Wang, Chi-Yin Chow, Yan Lyu, Victor C. S. Lee, Sarana Nutanong, Yanhua Li, Mingxuan Yuan
Exploring cell tower data dumps for supervised learning-based point-of-interest prediction (industrial paper). GeoInformatica 20 (2) (2016)
Xiaodong Li, Haoran Xie, Ran Wang, Yi Cai, Jingjing Cao, Feng Wang, Huaqing Min, Xiaotie Deng
Empirical analysis: stock market prediction via extreme learning machine. Neural Comput. Appl. 27 (1) (2016)
Ran Wang, Chi-Yin Chow, Sam Kwong
Ambiguity-Based Multiclass Active Learning. IEEE Trans. Fuzzy Syst. 24 (1) (2016)
Mengyuan Wu, Sam Kwong, Qingfu Zhang, Ke Li, Ran Wang, Bo Liu
Two-Level Stable Matching-Based Selection in MOEA/D. SMC (2015)
Ran Wang, Sam Kwong, Xizhao Wang, Qingshan Jiang
Segment Based Decision Tree Induction With Continuous Valued Attributes. IEEE Trans. Cybern. 45 (7) (2015)
Ran Wang, Sam Kwong, Qingshan Jiang, Ka-Chun Wong
Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network. SMC (2015)
Ran Wang, Chi-Yin Chow, Yan Lyu, Victor C. S. Lee, Sam Kwong, Yanhua Li, Jia Zeng
TaxiRec: recommending road clusters to taxi drivers using ranking-based extreme learning machines. SIGSPATIAL/GIS (2015)
Jingjing Cao, Sam Kwong, Ran Wang, Xiaodong Li, Ke Li, Xiangfei Kong
Class-specific soft voting based multiple extreme learning machines ensemble. Neurocomputing 149 (2015)
Ran Wang, Yu-Lin He, Chi-Yin Chow, Fang-Fang Ou, Jian Zhang
Learning ELM-Tree from big data based on uncertainty reduction. Fuzzy Sets Syst. 258 (2015)
Xi-Zhao Wang, Ran Wang, Hui-Min Feng, Hua-Chao Wang
A New Approach to Classifier Fusion Based on Upper Integral. IEEE Trans. Cybern. 44 (5) (2014)
Yu-Lin He, Ran Wang, Sam Kwong, Xi-Zhao Wang
Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis. Inf. Sci. 259 (2014)
Hao Gao, Sam Kwong, Baojie Fan, Ran Wang
A Hybrid Particle-Swarm Tabu Search Algorithm for Solving Job Shop Scheduling Problems. IEEE Trans. Ind. Informatics 10 (4) (2014)
Ke Li, Qingfu Zhang, Sam Kwong, Miqing Li, Ran Wang
Stable Matching-Based Selection in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 18 (6) (2014)
Ran Wang, Sam Kwong
Active learning with multi-criteria decision making systems. Pattern Recognit. 47 (9) (2014)
Ran Wang, Degang Chen, Sam Kwong
Fuzzy-Rough-Set-Based Active Learning. IEEE Trans. Fuzzy Syst. 22 (6) (2014)
Ran Wang, Chi-Yin Chow, Sarana Nutanong, Yan Lyu, Yanhua Li, Mingxuan Yuan, Victor C. S. Lee
Exploring cell tower data dumps for supervised learning-based point-of-interest prediction. SIGSPATIAL/GIS (2014)
Jingjing Cao, Sam Kwong, Ran Wang, Ke Li
AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble. ICMLC (2014)
Yan Lyu, Chi-Yin Chow, Ran Wang, Victor C. S. Lee
Using multi-criteria decision making for personalized point-of-interest recommendations. SIGSPATIAL/GIS (2014)
Ran Wang, Sam Kwong, Degang Chen, Jingjing Cao
A vector-valued support vector machine model for multiclass problem. Inf. Sci. 235 (2013)
Ke Li, Sam Kwong, Ran Wang, Kit-Sang Tang, Kim-Fung Man
Learning paradigm based on jumping genes: A general framework for enhancing exploration in evolutionary multiobjective optimization. Inf. Sci. 226 (2013)
Ran Wang, Sam Kwong, Xizhao Wang
A study on random weights between input and hidden layers in extreme learning machine. Soft Comput. 16 (9) (2012)
Jingjing Cao, Sam Kwong, Ran Wang
A noise-detection based AdaBoost algorithm for mislabeled data. Pattern Recognit. 45 (12) (2012)
Ke Li, Sam Kwong, Ran Wang, Jingjing Cao, Imre J. Rudas
Multi-objective differential evolution with self-navigation. SMC (2012)
Ran Wang, Sam Kwong, Degang Chen, Qiang He
Fuzzy rough sets based uncertainty measuring for stream based active learning. ICMLC (2012)
Ran Wang, Sam Kwong, Degang Chen
Inconsistency-based active learning for support vector machines. Pattern Recognit. 45 (10) (2012)
Jingjing Cao, Sam Kwong, Ran Wang, Ke Li
A weighted voting method using minimum square error based on Extreme Learning Machine. ICMLC (2012)
Ran Wang, Sam Kwong, Degang Chen
A new method for multi-class support vector machines by training least number of classifiers. ICMLC (2011)
Ran Wang, Sam Kwong
Sample selection based on maximum entropy for support vector machines. ICMLC (2010)
Ran Wang, Sam Kwong, Qiang He
Active learning based on support vector machines. SMC (2010)
Chun-Ru Dong, Ran Wang, Xi-Zhao Wang
Parametric tuning of rule-based systems by maximum fuzzy entropy. SMC (2008)
Xi-Zhao Wang, Jian-Hui Yan, Ran Wang, Chun-Ru Dong
A sample selection algorithm in fuzzy decision tree induction and its theoretical analyses. SMC (2007)