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ORCIDRan Wang 0001
Person information
- affiliation: Shenzhen University, College of Mathematics and Statistics, China
- affiliation (PhD 2014): City University of Hong Kong, Department of Computer Science, Hong Kong
Other persons with the same name
- Ran Wang — disambiguation page
- Ran Wang 0002
![[0000-0002-1434-5662]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1434-5662")
— Nanjing University of Aeronautics and Astronautics, China (and 1 more) - Ran Wang 0003 — University of Alberta, Department of Earth and Atmospheric Sciences, Edmonton, AB, Canada
- Ran Wang 0004 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China (and 1 more)
- Ran Wang 0005 — Huazhong University of Science & Technology, Wuhan, Hubei, China
- Ran Wang 0006 — Beijing University of Posts and Telecommunications, Beijing, China (and 1 more)
- Ran Wang 0007 — Xi'an Jiaotong University, Xi'an, China
- Ran Wang 0008 — East China Normal University, Shanghai, China
- Ran Wang 0009 — Texas A&M University, Department of Aerospace Engineering, College Station, TX, USA
- Ran Wang 0010 — Nanjing University, National Key Laboratory for Novel Software Technology, China
- Ran Wang 0011 — Shanghai Maritime University, College of Logistics Engineering, China (and 1 more)
- Ran Wang 0012 — Communication University of China, School of Data Science and Media Intelligence, China (and 2 more)
- Ran Wang 0013 — Kyoto University, Graduate School of Informatics, Japan
- Ran Wang 0014 — University of Science and Technology Beijing, USTB, School of Computer and Communication Engineering, Shunde Innovation School, China (and 1 more)
- Ran Wang 0015 — Waseda University, Department of Computer Science and Communication Engineering, Tokyo, Japan
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2020 – today
- 2024
[j63]Meng Hu, Yanting Guo, Ran Wang, Xizhao Wang:
Attribute reduction with fuzzy kernel-induced relations. Inf. Sci. 669: 120589 (2024)- [j62]Debby D. Wang, Wenhui Wu, Ran Wang:
Structure-based, deep-learning models for protein-ligand binding affinity prediction. J. Cheminformatics 16(1): 2 (2024) - [j61]Ran Wang, Haopeng Ke, Meng Hu, Wenhui Wu:
Adversarially robust neural networks with feature uncertainty learning and label embedding. Neural Networks 172: 106087 (2024) - [j60]Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang:
Ensemble Clustering via Co-Association Matrix Self-Enhancement. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11168-11179 (2024) - [c21]Yuheng Jia, Xiaorui Peng, Ran Wang, Min-Ling Zhang:
Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation. AAAI 2024: 12857-12865 - [i9]Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang:
Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation. CoRR abs/2405.02688 (2024) - 2023
- [j59]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): 1867-1903 (2023) - [j58]Wenhui Wu, Yujie Chen, Ran Wang, Le Ou-Yang:
Self-representative kernel concept factorization. Knowl. Based Syst. 259: 110051 (2023) - [j57]Yuxiang Yang, Xing Tian, Wing W. Y. Ng, Ran Wang, Ying Gao, Sam Kwong:
Generative face inpainting hashing for occluded face retrieval. Int. J. Mach. Learn. Cybern. 14(5): 1725-1738 (2023) - [j56]Shuyue Chen, Ran Wang, Jian Lu:
A meta-framework for multi-label active learning based on deep reinforcement learning. Neural Networks 162: 258-270 (2023) - [j55]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): 4051-4070 (2023) - [j54]Ran Wang, Shuyue Chen, Yu Yu:
Extending version-space theory to multi-label active learning with imbalanced data. Pattern Recognit. 142: 109690 (2023) - [j53]Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang:
Adversarial Learning With Cost-Sensitive Classes. IEEE Trans. Cybern. 53(8): 4855-4866 (2023) - [j52]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): 2413-2424 (2023) - [c20]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: 43-49 - 2022
- [j51]Shuyue Chen, Ran Wang, Jian Lu, Xizhao Wang:
Stable matching-based two-way selection in multi-label active learning with imbalanced data. Inf. Sci. 610: 281-299 (2022) - [j50]Mingwen Shao, Junhui Dai, Ran Wang, Jiandong Kuang, Wangmeng Zuo:
CSHE: network pruning by using cluster similarity and matrix eigenvalues. Int. J. Mach. Learn. Cybern. 13(2): 371-382 (2022) - [j49]Jiandong Kuang, Mingwen Shao, Ran Wang, Wangmeng Zuo, Weiping Ding:
Network pruning via probing the importance of filters. Int. J. Mach. Learn. Cybern. 13(9): 2403-2414 (2022) - [j48]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): 3543-3554 (2022) - [j47]Sihong Chen, Haojing Shen, Ran Wang, Xizhao Wang:
Towards improving fast adversarial training in multi-exit network. Neural Networks 150: 1-11 (2022) - [j46]Hong Zhu, Xizhao Wang, Ran Wang:
Fuzzy Monotonic K-Nearest Neighbor Versus Monotonic Fuzzy K-Nearest Neighbor. IEEE Trans. Fuzzy Syst. 30(9): 3501-3513 (2022) - [i8]Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang:
Ensemble Clustering via Co-association Matrix Self-enhancement. CoRR abs/2205.05937 (2022) - [i7]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 abs/2207.04197 (2022) - 2021
- [j45]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: 107856 (2021) - [j44]Ran Wang, Suhe Ye, Ke Li, Sam Kwong:
Bayesian network based label correlation analysis for multi-label classifier chain. Inf. Sci. 554: 256-275 (2021) - [j43]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: 640-652 (2021) - [j42]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): 1853-1865 (2021) - [j41]Mingwen Shao, Shuqi Liu, Ran Wang, Gaozhi Zhang:
An Adversarial sample defense method based on multi-scale GAN. Int. J. Mach. Learn. Cybern. 12(12): 3437-3447 (2021) - [j40]Ran Wang, Sam Kwong, Xu Wang, Yuheng Jia:
Active k-labelsets ensemble for multi-label classification. Pattern Recognit. 109: 107583 (2021) - [j39]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): 2698-2710 (2021) - [j38]Ran Wang, Zichao Zhang:
Set Theory-Based Operator Design in Evolutionary Algorithms for Solving Knapsack Problems. IEEE Trans. Evol. Comput. 25(6): 1133-1147 (2021) - [j37]Yuheng Jia, Wenhui Wu, Ran Wang, Junhui Hou, Sam Kwong:
Joint Optimization for Pairwise Constraint Propagation. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3168-3180 (2021) - [i6]Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang:
Adversarial Learning with Cost-Sensitive Classes. CoRR abs/2101.12372 (2021) - 2020
- [j36]Xinlei Zhou, Xizhao Wang, Cong Hu, Ran Wang:
An analysis on the relationship between uncertainty and misclassification rate of classifiers. Inf. Sci. 535: 16-27 (2020) - [j35]Tianlun Zhang, Xi Yang, Xizhao Wang, Ran Wang:
Deep joint neural model for single image haze removal and color correction. Inf. Sci. 541: 16-35 (2020) - [j34]Yuheng Jia, Sam Kwong, Ran Wang:
Applying Exponential Family Distribution to Generalized Extreme Learning Machine. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1794-1804 (2020) - [i5]Farhad Pourpanah, Ran Wang, Chee Peng Lim, Danial Yazdani:
A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications. CoRR abs/2011.05700 (2020) - [i4]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 abs/2011.08641 (2020) - [i3]Haojing Shen, Sihong Chen, Ran Wang:
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks. CoRR abs/2011.13719 (2020) - [i2]Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang:
Generalized Adversarial Examples: Attacks and Defenses. CoRR abs/2011.14045 (2020)
2010 – 2019
- 2019
- [j33]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: 139-152 (2019) - [j32]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: 294-312 (2019) - [j31]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: 635-651 (2019) - [j30]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): 655-666 (2019) - [j29]Haoran Xie, Tak-Lam Wong, Fu Lee Wang, Raymond K. Wong, Xiaohui Tao, Ran Wang:
Editorial: Affective and sentimental computing. Int. J. Mach. Learn. Cybern. 10(8): 2043-2044 (2019) - [j28]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: 388-397 (2019) - [j27]Yuheng Jia, Sam Kwong, Wenhui Wu, Ran Wang, Wei Gao:
Sparse Bayesian Learning-Based Kernel Poisson Regression. IEEE Trans. Cybern. 49(1): 56-68 (2019) - [j26]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): 1299-1308 (2019) - [c19]Farhad Pourpanah, Ran Wang, Xizhao Wang:
Feature Selection for Data Classification based on Binary Brain Storm Optimization. CCIS 2019: 108-113 - [c18]Ran Wang, Suhe Ye:
Multi-Label Active Learning Driven by Uncertainty and Inconsistency. ICMLC 2019: 1-6 - [c17]Wenjing Yuan, Jingjing Cao, Zeyi Jin, Fei Xia, Ran Wang:
A Multi-resident Activity Recognition Approach based on Frequent Itemset Mining Features. INDIN 2019: 1453-1458 - [c16]Farhad Pourpanah, Ran Wang, Xizhao Wang, Yuhui Shi, Danial Yazdani:
mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems. SSCI 2019: 673-679 - [i1]Ran Wang, Suhe Ye, Ke Li, Sam Kwong:
Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain. CoRR abs/1908.02172 (2019) - 2018
- [j25]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): 3495-3506 (2018) - [j24]Xi-Zhao Wang, Ran Wang, Chen Xu:
Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification. IEEE Trans. Cybern. 48(2): 703-715 (2018) - [j23]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): 585-598 (2018) - [c15]Ran Wang, Sam Kwong, Yuheng Jia, Zhiqi Huang, Lang Wu:
Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification. FUZZ-IEEE 2018: 1-7 - 2017
- [j22]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): 547-561 (2017) - [j21]Ran Wang, Xi-Zhao Wang, Sam Kwong, Chen Xu:
Incorporating Diversity and Informativeness in Multiple-Instance Active Learning. IEEE Trans. Fuzzy Syst. 25(6): 1460-1475 (2017) - 2016
- [j20]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): 327-349 (2016) - [j19]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): 67-78 (2016) - [j18]Ran Wang, Chi-Yin Chow, Sam Kwong:
Ambiguity-Based Multiclass Active Learning. IEEE Trans. Fuzzy Syst. 24(1): 242-248 (2016) - 2015
- [j17]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: 79-100 (2015) - [j16]Jingjing Cao, Sam Kwong, Ran Wang, Xiaodong Li, Ke Li, Xiangfei Kong:
Class-specific soft voting based multiple extreme learning machines ensemble. Neurocomputing 149: 275-284 (2015) - [j15]Xu Wang, Qiong Liu, Ran Wang, Zhuo Chen:
Natural image statistics based 3D reduced reference image quality assessment in contourlet domain. Neurocomputing 151: 683-691 (2015) - [j14]Yingjie Li, Ran Wang, Simon C. K. Shiu:
Interval extreme learning machine for big data based on uncertainty reduction. J. Intell. Fuzzy Syst. 28(5): 2391-2403 (2015) - [j13]Ran Wang, Sam Kwong, Xizhao Wang, Qingshan Jiang:
Segment Based Decision Tree Induction With Continuous Valued Attributes. IEEE Trans. Cybern. 45(7): 1262-1275 (2015) - [c14]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: 53:1-53:4 - [c13]Mengyuan Wu, Sam Kwong, Qingfu Zhang, Ke Li, Ran Wang, Bo Liu:
Two-Level Stable Matching-Based Selection in MOEA/D. SMC 2015: 1720-1725 - [c12]Ran Wang, Sam Kwong, Qingshan Jiang, Ka-Chun Wong:
Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network. SMC 2015: 2158-2163 - 2014
- [j12]Debby Dan Wang, Ran Wang, Hong Yan:
Fast prediction of protein-protein interaction sites based on Extreme Learning Machines. Neurocomputing 128: 258-266 (2014) - [j11]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: 252-268 (2014) - [j10]Ran Wang, Sam Kwong:
Active learning with multi-criteria decision making systems. Pattern Recognit. 47(9): 3106-3119 (2014) - [j9]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): 620-635 (2014) - [j8]Ke Li, Qingfu Zhang, Sam Kwong, Miqing Li, Ran Wang:
Stable Matching-Based Selection in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 18(6): 909-923 (2014) - [j7]Ran Wang, Degang Chen, Sam Kwong:
Fuzzy-Rough-Set-Based Active Learning. IEEE Trans. Fuzzy Syst. 22(6): 1699-1704 (2014) - [j6]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): 2044-2054 (2014) - [c11]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: 457-460 - [c10]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: 461-464 - [c9]Jingjing Cao, Sam Kwong, Ran Wang, Ke Li:
AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble. ICMLC 2014: 147-152 - 2013
- [j5]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: 1-22 (2013) - [j4]Ran Wang, Sam Kwong, Degang Chen, Jingjing Cao:
A vector-valued support vector machine model for multiclass problem. Inf. Sci. 235: 174-194 (2013) - 2012
- [j3]Ran Wang, Sam Kwong, Degang Chen:
Inconsistency-based active learning for support vector machines. Pattern Recognit. 45(10): 3751-3767 (2012) - [j2]Jingjing Cao, Sam Kwong, Ran Wang:
A noise-detection based AdaBoost algorithm for mislabeled data. Pattern Recognit. 45(12): 4451-4465 (2012) - [j1]Ran Wang, Sam Kwong, Xizhao Wang:
A study on random weights between input and hidden layers in extreme learning machine. Soft Comput. 16(9): 1465-1475 (2012) - [c8]Ran Wang, Sam Kwong, Degang Chen, Qiang He:
Fuzzy rough sets based uncertainty measuring for stream based active learning. ICMLC 2012: 282-288 - [c7]Jingjing Cao, Sam Kwong, Ran Wang, Ke Li:
A weighted voting method using minimum square error based on Extreme Learning Machine. ICMLC 2012: 411-414 - [c6]Ke Li, Sam Kwong, Ran Wang, Jingjing Cao, Imre J. Rudas:
Multi-objective differential evolution with self-navigation. SMC 2012: 508-513 - 2011
- [c5]Ran Wang, Sam Kwong, Degang Chen:
A new method for multi-class support vector machines by training least number of classifiers. ICMLC 2011: 648-653 - 2010
- [c4]Ran Wang, Sam Kwong:
Sample selection based on maximum entropy for support vector machines. ICMLC 2010: 1390-1395 - [c3]Ran Wang, Sam Kwong, Qiang He:
Active learning based on support vector machines. SMC 2010: 1312-1316
2000 – 2009
- 2008
- [c2]Chun-Ru Dong, Ran Wang, Xi-Zhao Wang:
Parametric tuning of rule-based systems by maximum fuzzy entropy. SMC 2008: 433-438 - 2007
- [c1]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: 3621-3626
Coauthor Index
Xizhao Wang
aka: Xi-Zhao Wang
aka: Xi-Zhao Wang
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