Ran Wang - RankMe

108 papers A* 4B 9C 1Misc 8Journal 81Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DPtSTrip: Adversarially robust learning with distance-aware point-to-set triplet loss. Pattern Recognit. Ran Wang, Meng Hu, Xinlei Zhou, Yuheng Jia
2025	J	`jnl`	An Embedded Unlabeled Data Partitioning PU-Learning Method Based on Genetic Programming. IEEE Trans. Comput. Soc. Syst. Yu Zhou, Nanjian Yang, Ran Wang
2025	A*	`conf`	DUIMC: Deep Unbalanced Incomplete Multi-View Clustering via Graph Constrained Imputation and Contrastive Learning. ACM Multimedia Wenhui Wu, Guanqi Wen, Le Ou-Yang, Ran Wang, Sam Kwong
2025	J	`jnl`	Feature Statistics with Uncertainty Help Adversarial Robustness. CoRR Ran Wang, Xinlei Zhou, Rihao Li, Meng Hu, Wenhui Wu, Yuheng Jia
2025	J	`jnl`	GRESS: Grouping Belief-Based Deep Contrastive Subspace Clustering. IEEE Trans. Cybern. Yujie Chen, Wenhui Wu, Le Ou-Yang, Ran Wang, Sam Kwong
2025	A*	`conf`	GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling. AAAI Yujie Chen, Wenhui Wu, Le Ou-Yang, Ran Wang, Debby Dan Wang
2025	A*	`conf`	Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning. ICLR Xiaorui Peng, Yuheng Jia, Fuchao Yang, Ran Wang, Min-Ling Zhang
2025	J	`jnl`	Semi-Supervised Symmetric Non-Negative Matrix Factorization With Low-Rank Tensor Representation. IEEE Trans. Circuits Syst. Video Technol. Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang
2025	J	`jnl`	Similarity and Dissimilarity Guided Co-Association Matrix Construction for Ensemble Clustering. IEEE Trans. Knowl. Data Eng. Xu Zhang, Yuheng Jia, Mofei Song, Ran Wang
2024	J	`jnl`	AME-LSIFT: Attention-Aware Multi-Label Ensemble With Label Subset-SpecIfic FeaTures. IEEE Trans. Knowl. Data Eng. Xinyin Zhang, Ran Wang, Shuyue Chen, Yuheng Jia, Debby Dan Wang
2024	J	`jnl`	Adversarially robust neural networks with feature uncertainty learning and label embedding. Neural Networks Ran Wang, Haopeng Ke, Meng Hu, Wenhui Wu
2024	J	`jnl`	Attribute reduction with fuzzy kernel-induced relations. Inf. Sci. Meng Hu, Yanting Guo, Ran Wang, Xizhao Wang
2024	J	`jnl`	Ensemble Clustering via Co-Association Matrix Self-Enhancement. IEEE Trans. Neural Networks Learn. Syst. Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang
2024	A*	`conf`	Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation. AAAI Yuheng Jia, Xiaorui Peng, Ran Wang, Min-Ling Zhang
2024	B	`conf`	MCD: Defense Against Query-Based Black-Box Surrogate Attacks. SMC Yiwen Zou, Wing W. Y. Ng, Xueli Zhang, Brick Loo, Xingfu Yan, Ran Wang
2024	J	`jnl`	Multi-Label Classification With High-Rank and High-Order Label Correlations. IEEE Trans. Knowl. Data Eng. Chongjie Si, Yuheng Jia, Ran Wang, Min-Ling Zhang, Yanghe Feng, Chongxiao Qu
2024	B	`conf`	On the Adversarial Robustness of Hierarchical Classification. SMC Ran Wang, Simeng Zeng, Wenhui Wu, Yuheng Jia, Wing W. Y. Ng, Xizhao Wang
2024	J	`jnl`	Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation. CoRR Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang
2024	J	`jnl`	Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering. CoRR Xu Zhang, Yuheng Jia, Mofei Song, Ran Wang
2024	J	`jnl`	Structure-based, deep-learning models for protein-ligand binding affinity prediction. J. Cheminformatics Debby Dan Wang, Wenhui Wu, Ran Wang
2024	Misc	`conf`	Uncertainty-Aware Modeling for Improving Prediction of Toxicity. ICMLC Xinlei Zhou, Xizhao Wang, Xinpeng Zhou, Siwu Tu, Ran Wang
2023	J	`jnl`	A Review of Generalized Zero-Shot Learning Methods. IEEE Trans. Pattern Anal. Mach. Intell. Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu
2023	J	`jnl`	A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness. IEEE Trans. Neural Networks Learn. Syst. Lin Xiao, Yongjun He, Yaonan Wang, Jianhua Dai, Ran Wang, Wensheng Tang
2023	J	`jnl`	A meta-framework for multi-label active learning based on deep reinforcement learning. Neural Networks Shuyue Chen, Ran Wang, Jian Lu
2023	J	`jnl`	A review of artificial fish swarm algorithms: recent advances and applications. Artif. Intell. Rev. Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Danial Yazdani
2023	J	`jnl`	Adversarial Learning With Cost-Sensitive Classes. IEEE Trans. Cybern. Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang
2023	J	`jnl`	Extending version-space theory to multi-label active learning with imbalanced data. Pattern Recognit. Ran Wang, Shuyue Chen, Yu Yu
2023	J	`jnl`	Generative face inpainting hashing for occluded face retrieval. Int. J. Mach. Learn. Cybern. Yuxiang Yang, Xing Tian, Wing W. Y. Ng, Ran Wang, Ying Gao, Sam Kwong
2023	Misc	`conf`	Improving the Adversarial Robustness of Deep Neural Networks via Efficient Two-Stage Training. ICMLC Ran Wang, Jingyu Xiong, Haopeng Ke, Yuheng Jia, Debby Dan Wang
2023	J	`jnl`	Self-representative kernel concept factorization. Knowl. Based Syst. Wenhui Wu, Yujie Chen, Ran Wang, Le Ou-Yang
2022	J	`jnl`	CSHE: network pruning by using cluster similarity and matrix eigenvalues. Int. J. Mach. Learn. Cybern. Mingwen Shao, Junhui Dai, Ran Wang, Jiandong Kuang, Wangmeng Zuo
2022	J	`jnl`	Ensemble Clustering via Co-association Matrix Self-enhancement. CoRR Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang
2022	J	`jnl`	Fuzzy Monotonic K-Nearest Neighbor Versus Monotonic Fuzzy K-Nearest Neighbor. IEEE Trans. Fuzzy Syst. Hong Zhu, Xizhao Wang, Ran Wang
2022	J	`jnl`	Multi-label Classification with High-rank and High-order Label Correlations. CoRR Chongjie Si, Yuheng Jia, Ran Wang, Min-Ling Zhang, Yanghe Feng, Chongxiao Qu
2022	J	`jnl`	Network pruning via probing the importance of filters. Int. J. Mach. Learn. Cybern. Jiandong Kuang, Mingwen Shao, Ran Wang, Wangmeng Zuo, Weiping Ding
2022	J	`jnl`	No-reference image quality assessment by using convolutional neural networks via object detection. Int. J. Mach. Learn. Cybern. Jingchao Cao, Wenhui Wu, Ran Wang, Sam Kwong
2022	J	`jnl`	Stable matching-based two-way selection in multi-label active learning with imbalanced data. Inf. Sci. Shuyue Chen, Ran Wang, Jian Lu, Xizhao Wang
2022	J	`jnl`	Towards improving fast adversarial training in multi-exit network. Neural Networks Sihong Chen, Haojing Shen, Ran Wang, Xizhao Wang
2021	J	`jnl`	A semisupervised learning model based on fuzzy min-max neural networks for data classification. Appl. Soft Comput. Farhad Pourpanah, Di Wang, Ran Wang, Chee Peng Lim
2021	J	`jnl`	A study on the uncertainty of convolutional layers in deep neural networks. Int. J. Mach. Learn. Cybern. Haojing Shen, Sihong Chen, Ran Wang
2021	J	`jnl`	Active Pattern Recognit. Ran Wang, Sam Kwong, Xu Wang, Yuheng Jia
2021	J	`jnl`	Adversarial Learning with Cost-Sensitive Classes. CoRR Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang
2021	J	`jnl`	An Adversarial sample defense method based on multi-scale GAN. Int. J. Mach. Learn. Cybern. Mingwen Shao, Shuqi Liu, Ran Wang, Gaozhi Zhang
2021	J	`jnl`	Bayesian network based label correlation analysis for multi-label classifier chain. Inf. Sci. Ran Wang, Suhe Ye, Ke Li, Sam Kwong
2021	J	`jnl`	Joint Optimization for Pairwise Constraint Propagation. IEEE Trans. Neural Networks Learn. Syst. Yuheng Jia, Wenhui Wu, Ran Wang, Junhui Hou, Sam Kwong
2021	J	`jnl`	No-reference image quality assessment for contrast-changed images via a semi-supervised robust PCA model. Inf. Sci. Jingchao Cao, Ran Wang, Yuheng Jia, Xinfeng Zhang, Shiqi Wang, Sam Kwong
2021	J	`jnl`	Positive and Negative Label-Driven Nonnegative Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. Wenhui Wu, Yuheng Jia, Shiqi Wang, Ran Wang, Hongfei Fan, Sam Kwong
2021	J	`jnl`	Set Theory-Based Operator Design in Evolutionary Algorithms for Solving Knapsack Problems. IEEE Trans. Evol. Comput. Ran Wang, Zichao Zhang
2020	J	`jnl`	A Review of Generalized Zero-Shot Learning Methods. CoRR Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang
2020	J	`jnl`	A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications. CoRR Farhad Pourpanah, Ran Wang, Chee Peng Lim, Danial Yazdani
2020	J	`jnl`	A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks. CoRR Haojing Shen, Sihong Chen, Ran Wang
2020	J	`jnl`	An analysis on the relationship between uncertainty and misclassification rate of classifiers. Inf. Sci. Xinlei Zhou, Xizhao Wang, Cong Hu, Ran Wang
2020	J	`jnl`	Applying Exponential Family Distribution to Generalized Extreme Learning Machine. IEEE Trans. Syst. Man Cybern. Syst. Yuheng Jia, Sam Kwong, Ran Wang
2020	J	`jnl`	Deep joint neural model for single image haze removal and color correction. Inf. Sci. Tianlun Zhang, Xi Yang, Xizhao Wang, Ran Wang
2020	J	`jnl`	Generalized Adversarial Examples: Attacks and Defenses. CoRR Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang
2019	C	`conf`	A Multi-resident Activity Recognition Approach based on Frequent Itemset Mining Features. INDIN Wenjing Yuan, Jingjing Cao, Zeyi Jin, Fei Xia, Ran Wang
2019	J	`jnl`	An improved fuzzy ARTMAP and Q-learning agent model for pattern classification. Neurocomputing Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xizhao Wang, Manjeevan Seera, Choo Jun Tan
2019	J	`jnl`	An off-center technique: Learning a feature transformation to improve the performance of clustering and classification. Inf. Sci. Dasen Yan, Xinlei Zhou, Xizhao Wang, Ran Wang
2019	J	`jnl`	Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain. CoRR Ran Wang, Suhe Ye, Ke Li, Sam Kwong
2019	J	`jnl`	Content-oriented image quality assessment with multi-label SVM classifier. Signal Process. Image Commun. Jingchao Cao, Shiqi Wang, Ran Wang, Xinfeng Zhang, Sam Kwong
2019	J	`jnl`	Editorial: Affective and sentimental computing. Int. J. Mach. Learn. Cybern. Haoran Xie, Tak-Lam Wong, Fu Lee Wang, Raymond K. Wong, Xiaohui Tao, Ran Wang
2019	—	`conf`	Feature Selection for Data Classification based on Binary Brain Storm Optimization. CCIS Farhad Pourpanah, Ran Wang, Xizhao Wang
2019	Misc	`conf`	Multi-Label Active Learning Driven by Uncertainty and Inconsistency. ICMLC Ran Wang, Suhe Ye
2019	J	`jnl`	Multi-criteria decision making based architecture selection for single-hidden layer feedforward neural networks. Int. J. Mach. Learn. Cybern. Ran Wang, Haoran Xie, Jiqiang Feng, Fu Lee Wang, Chen Xu
2019	J	`jnl`	Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. Xi-Zhao Wang, Tianlun Zhang, Ran Wang
2019	J	`jnl`	Sparse Bayesian Learning-Based Kernel Poisson Regression. IEEE Trans. Cybern. Yuheng Jia, Sam Kwong, Wenhui Wu, Ran Wang, Wei Gao
2019	J	`jnl`	iMCRec: A multi-criteria framework for personalized point-of-interest recommendations. Inf. Sci. Yan Lyu, Chi-Yin Chow, Ran Wang, Victor C. S. Lee
2019	—	`conf`	mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems. SSCI Farhad Pourpanah, Ran Wang, Xizhao Wang, Yuhui Shi, Danial Yazdani
2018	J	`jnl`	Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification. IEEE Trans. Cybern. Xi-Zhao Wang, Ran Wang, Chen Xu
2018	J	`jnl`	Discovering the impact of hidden layer parameters on non-iterative training of feed-forward neural networks. Soft Comput. Zhiqi Huang, Ran Wang, Hong Zhu, Jie Zhu
2018	B	`conf`	Mutual Information Based K-Labelsets Ensemble for Multi-Label Classification. FUZZ-IEEE Ran Wang, Sam Kwong, Yuheng Jia, Zhiqi Huang, Lang Wu
2018	J	`jnl`	TaxiRec: Recommending Road Clusters to Taxi Drivers Using Ranking-Based Extreme Learning Machines. IEEE Trans. Knowl. Data Eng. Ran Wang, Chi-Yin Chow, Yan Lyu, Victor C. S. Lee, Sam Kwong, Yanhua Li, Jia Zeng
2017	J	`jnl`	Binary and Multi-Class Learning Based Low Complexity Optimization for HEVC Encoding. IEEE Trans. Broadcast. Linwei Zhu, Yun Zhang, Zhaoqing Pan, Ran Wang, Sam Kwong, Zongju Peng
2017	J	`jnl`	Incorporating Diversity and Informativeness in Multiple-Instance Active Learning. IEEE Trans. Fuzzy Syst. Ran Wang, Xi-Zhao Wang, Sam Kwong, Chen Xu
2016	J	`jnl`	Ambiguity-Based Multiclass Active Learning. IEEE Trans. Fuzzy Syst. Ran Wang, Chi-Yin Chow, Sam Kwong
2016	J	`jnl`	Empirical analysis: stock market prediction via extreme learning machine. Neural Comput. Appl. Xiaodong Li, Haoran Xie, Ran Wang, Yi Cai, Jingjing Cao, Feng Wang, Huaqing Min, Xiaotie Deng
2016	J	`jnl`	Exploring cell tower data dumps for supervised learning-based point-of-interest prediction (industrial paper). GeoInformatica Ran Wang, Chi-Yin Chow, Yan Lyu, Victor C. S. Lee, Sarana Nutanong, Yanhua Li, Mingxuan Yuan
2015	B	`conf`	Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network. SMC Ran Wang, Sam Kwong, Qingshan Jiang, Ka-Chun Wong
2015	J	`jnl`	Class-specific soft voting based multiple extreme learning machines ensemble. Neurocomputing Jingjing Cao, Sam Kwong, Ran Wang, Xiaodong Li, Ke Li, Xiangfei Kong
2015	J	`jnl`	Interval extreme learning machine for big data based on uncertainty reduction. J. Intell. Fuzzy Syst. Yingjie Li, Ran Wang, Simon C. K. Shiu
2015	J	`jnl`	Learning ELM-Tree from big data based on uncertainty reduction. Fuzzy Sets Syst. Ran Wang, Yu-Lin He, Chi-Yin Chow, Fang-Fang Ou, Jian Zhang
2015	J	`jnl`	Natural image statistics based 3D reduced reference image quality assessment in contourlet domain. Neurocomputing Xu Wang, Qiong Liu, Ran Wang, Zhuo Chen
2015	J	`jnl`	Segment Based Decision Tree Induction With Continuous Valued Attributes. IEEE Trans. Cybern. Ran Wang, Sam Kwong, Xizhao Wang, Qingshan Jiang
2015	—	`conf`	TaxiRec: recommending road clusters to taxi drivers using ranking-based extreme learning machines. SIGSPATIAL/GIS Ran Wang, Chi-Yin Chow, Yan Lyu, Victor C. S. Lee, Sam Kwong, Yanhua Li, Jia Zeng
2015	B	`conf`	Two-Level Stable Matching-Based Selection in MOEA/D. SMC Mengyuan Wu, Sam Kwong, Qingfu Zhang, Ke Li, Ran Wang, Bo Liu
2014	J	`jnl`	A Hybrid Particle-Swarm Tabu Search Algorithm for Solving Job Shop Scheduling Problems. IEEE Trans. Ind. Informatics Hao Gao, Sam Kwong, Baojie Fan, Ran Wang
2014	J	`jnl`	A New Approach to Classifier Fusion Based on Upper Integral. IEEE Trans. Cybern. Xi-Zhao Wang, Ran Wang, Hui-Min Feng, Hua-Chao Wang
2014	Misc	`conf`	AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble. ICMLC Jingjing Cao, Sam Kwong, Ran Wang, Ke Li
2014	J	`jnl`	Active learning with multi-criteria decision making systems. Pattern Recognit. Ran Wang, Sam Kwong
2014	J	`jnl`	Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis. Inf. Sci. Yu-Lin He, Ran Wang, Sam Kwong, Xi-Zhao Wang
2014	—	`conf`	Exploring cell tower data dumps for supervised learning-based point-of-interest prediction. SIGSPATIAL/GIS Ran Wang, Chi-Yin Chow, Sarana Nutanong, Yan Lyu, Yanhua Li, Mingxuan Yuan, Victor C. S. Lee
2014	J	`jnl`	Fast prediction of protein-protein interaction sites based on Extreme Learning Machines. Neurocomputing Debby Dan Wang, Ran Wang, Hong Yan
2014	J	`jnl`	Fuzzy-Rough-Set-Based Active Learning. IEEE Trans. Fuzzy Syst. Ran Wang, Degang Chen, Sam Kwong
2014	J	`jnl`	Stable Matching-Based Selection in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. Ke Li, Qingfu Zhang, Sam Kwong, Miqing Li, Ran Wang
2014	—	`conf`	Using multi-criteria decision making for personalized point-of-interest recommendations. SIGSPATIAL/GIS Yan Lyu, Chi-Yin Chow, Ran Wang, Victor C. S. Lee
2013	J	`jnl`	A vector-valued support vector machine model for multiclass problem. Inf. Sci. Ran Wang, Sam Kwong, Degang Chen, Jingjing Cao
2013	J	`jnl`	Learning paradigm based on jumping genes: A general framework for enhancing exploration in evolutionary multiobjective optimization. Inf. Sci. Ke Li, Sam Kwong, Ran Wang, Kit-Sang Tang, Kim-Fung Man
2012	J	`jnl`	A noise-detection based AdaBoost algorithm for mislabeled data. Pattern Recognit. Jingjing Cao, Sam Kwong, Ran Wang
2012	J	`jnl`	A study on random weights between input and hidden layers in extreme learning machine. Soft Comput. Ran Wang, Sam Kwong, Xizhao Wang
2012	Misc	`conf`	A weighted voting method using minimum square error based on Extreme Learning Machine. ICMLC Jingjing Cao, Sam Kwong, Ran Wang, Ke Li
2012	Misc	`conf`	Fuzzy rough sets based uncertainty measuring for stream based active learning. ICMLC Ran Wang, Sam Kwong, Degang Chen, Qiang He
2012	J	`jnl`	Inconsistency-based active learning for support vector machines. Pattern Recognit. Ran Wang, Sam Kwong, Degang Chen
2012	B	`conf`	Multi-objective differential evolution with self-navigation. SMC Ke Li, Sam Kwong, Ran Wang, Jingjing Cao, Imre J. Rudas
2011	Misc	`conf`	A new method for multi-class support vector machines by training least number of classifiers. ICMLC Ran Wang, Sam Kwong, Degang Chen
2010	B	`conf`	Active learning based on support vector machines. SMC Ran Wang, Sam Kwong, Qiang He
2010	Misc	`conf`	Sample selection based on maximum entropy for support vector machines. ICMLC Ran Wang, Sam Kwong
2008	B	`conf`	Parametric tuning of rule-based systems by maximum fuzzy entropy. SMC Chun-Ru Dong, Ran Wang, Xi-Zhao Wang
2007	B	`conf`	A sample selection algorithm in fuzzy decision tree induction and its theoretical analyses. SMC Xi-Zhao Wang, Jian-Hui Yan, Ran Wang, Chun-Ru Dong