Joshua Zhexue Huang

ORCID

Publication Activity (10 Years)

Years Active: 2001-2025
Publications (10 Years): 133

Top Venues

Publications

Yongda Cai, Mohammad Sultan Mahmud, Jingsheng Xu, Xudong Sun, Joshua Zhexue Huang
Spectral ensemble clustering with doubly stochastic co-association matrix. Inf. Sci. 686 (2025)
Xudong Sun, Alladoumbaye Ngueilbaye, Kaijing Luo, Yongda Cai, Dingming Wu, Joshua Zhexue Huang
A scalable and flexible basket analysis system for big transaction data in Spark. Inf. Process. Manag. 61 (2) (2024)
Jia-Qi Chen, Yu-Lin He, Yingchao Cheng, Philippe Fournier-Viger, Joshua Zhexue Huang
A multiple kernel-based kernel density estimator for multimodal probability density functions. Eng. Appl. Artif. Intell. 132 (2024)
Yulin He, Jin Yang, Yingchao Cheng, Xueqin Du, Joshua Zhexue Huang
A novel member enhancement-based clustering ensemble algorithm. Concurr. Comput. Pract. Exp. 36 (10) (2024)
Yulin He, Jiaqi Chen, Jiaxing Shen, Philippe Fournier-Viger, Joshua Zhexue Huang
Density estimation-based method to determine sample size for random sample partition of big data. Frontiers Comput. Sci. 18 (5) (2024)
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salvador García
Clustering approximation via a fusion of multiple random samples. Inf. Fusion 101 (2024)
Xudong Sun, Lingxiang Zhao, Jiaqi Chen, Yongda Cai, Dingming Wu, Joshua Zhexue Huang
Non-MapReduce computing for intelligent big data analysis. Eng. Appl. Artif. Intell. 129 (2024)
Jianfei Yin, Anyang Zhong, Xiaomian Xiao, Ruili Wang, Joshua Zhexue Huang
An asset subset-constrained minimax optimization framework for online portfolio selection. Expert Syst. Appl. 254 (2024)
Yongda Cai, Dingming Wu, Xudong Sun, Siyue Wu, Jingsheng Xu, Joshua Zhexue Huang
CDFRS: A scalable sampling approach for efficient big data analysis. Inf. Process. Manag. 61 (4) (2024)
Yulin He, Jiaqi Chen, Jiaxing Shen, Philippe Fournier-Viger, Joshua Zhexue Huang
Density estimation-based method to determine sample size for random sample partition of big data. Frontiers Comput. Sci. 18 (5) (2024)
Yu-Lin He, Zhen-Hao Yuan, Joshua Zhexue Huang
Random vector functional link network with subspace-based local connections. Appl. Intell. 53 (2) (2023)
Kuanishbay Sadatdiynov, Laizhong Cui, Joshua Zhexue Huang
Offloading dependent tasks in MEC-enabled IoT systems: A preference-based hybrid optimization method. Peer Peer Netw. Appl. 16 (2) (2023)
Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang
MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection (Extended abstract). ICDE (2023)
Kuanishbay Sadatdiynov, Laizhong Cui, Lei Zhang, Joshua Zhexue Huang, Salman Salloum, Mohammad Sultan Mahmud
A review of optimization methods for computation offloading in edge computing networks. Digit. Commun. Networks 9 (2) (2023)
Yulin He, Xu Li, Philippe Fournier-Viger, Joshua Zhexue Huang, Mianjie Li, Salman Salloum
Observation points classifier ensemble for high-dimensional imbalanced classification. CAAI Trans. Intell. Technol. 8 (2) (2023)
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Rukhsana Ruby, Kaishun Wu
An ensemble method for estimating the number of clusters in a big data set using multiple random samples. J. Big Data 10 (1) (2023)
Mark Junjie Li, Wenzhu Cai, Yigang Lin, Sunjie Huang, Joshua Zhexue Huang, Patrick Xiaogang Peng
RSP-gcForest: A Distributed Deep Forest via Random Sample Partition. BigData (2023)
Xuan Ye, Yulin He, Manjing Zhang, Philippe Fournier-Viger, Joshua Zhexue Huang
A novel correlation Gaussian process regression-based extreme learning machine. Knowl. Inf. Syst. 65 (5) (2023)
Yulin He, Xuan Ye, De-Fa Huang, Philippe Fournier-Viger, Joshua Zhexue Huang
A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets. IEEE Trans. Artif. Intell. 4 (1) (2023)
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Rukhsana Ruby, Alladoumbaye Ngueilbaye, Kaishun Wu
Approximate Clustering Ensemble Method for Big Data. IEEE Trans. Big Data 9 (4) (2023)
Alladoumbaye Ngueilbaye, Joshua Zhexue Huang, Mehak Khan, Hongzhi Wang
Data quality model for assessing public COVID-19 big datasets. J. Supercomput. 79 (17) (2023)
Kuanishbay Sadatdiynov, Laizhong Cui, Lei Zhang, Joshua Zhexue Huang, Neal N. Xiong, Chengwen Luo
An intelligent hybrid method: Multi-objective optimization for MEC-enabled devices of IoE. J. Parallel Distributed Comput. 171 (2023)
Yulin He, Xu Li, Manjing Zhang, Philippe Fournier-Viger, Joshua Zhexue Huang, Salman Salloum
A novel observation points-based positive-unlabeled learning algorithm. CAAI Trans. Intell. Technol. 8 (4) (2023)
Yulin He, Xuan Ye, Laizhong Cui, Philippe Fournier-Viger, Chengwen Luo, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan
Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network. IEEE Trans. Netw. Sci. Eng. 10 (3) (2023)
Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang
Survey of Distributed Computing Frameworks for Supporting Big Data Analysis. Big Data Min. Anal. 6 (2) (2023)
Jianfei Yin, Ruili Wang, Yeqing Guo, Yizhe Bai, Shunda Ju, Weili Liu, Joshua Zhexue Huang
Wealth Flow Model: Online Portfolio Selection Based on Learning Wealth Flow Matrices. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang
MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Yulin He, Qihang Huang, Shengsheng Xu, Joshua Zhexue Huang
A Novel Method to Create Synthetic Samples with Autoencoder Multi-layer Extreme Learning Machine. DASFAA (Workshops) (2022)
Yu-Lin He, Guiliang Ou, Philippe Fournier-Viger, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan
A novel dependency-oriented mixed-attribute data classification method. Expert Syst. Appl. 199 (2022)
Yulin He, Xizhao Wang, Joshua Zhexue Huang
Correction to: Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. 13 (2) (2022)
Yaodong Huang, Zelin Lin, Tingting Yao, Xiaojun Shang, Laizhong Cui, Joshua Zhexue Huang
Mobility-aware Seamless Virtual Function Migration in Deviceless Edge Computing Environments. ICDCS (2022)
Xueqin Du, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang
DenMG: Density-Based Member Generation for Ensemble Clustering. ICPP Workshops (2022)
Simin Yu, Kuntian Zhang, Chuan Xiao, Joshua Zhexue Huang, Mark Junjie Li, Makoto Onizuka
HSGAN: Reducing mode collapse in GANs by the latent code distance of homogeneous samples. Comput. Vis. Image Underst. 214 (2022)
Yu-Lin He, Shengsheng Xu, Joshua Zhexue Huang
Creating synthetic minority class samples based on autoencoder extreme learning machine. Pattern Recognit. 121 (2022)
Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. ICDM (2022)
Guiliang Ou, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang
Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier. IJCNN (2022)
Yulin He, Xuan Ye, Joshua Zhexue Huang, Philippe Fournier-Viger
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression. ACM Trans. Intell. Syst. Technol. 13 (2) (2022)
Yulin He, Xizhao Wang, Joshua Zhexue Huang
Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. 13 (2) (2022)
Yongda Cai, Joshua Zhexue Huang, Jianfei Yin
A new method to build the adaptive k-nearest neighbors similarity graph matrix for spectral clustering. Neurocomputing 493 (2022)
Chen Wang, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang
Directly solving normalized cut for multi-view data. Pattern Recognit. 130 (2022)
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Xianghua Fu, Rukhsana Ruby, Kaishun Wu
Unsupervised Adaptation for High-Dimensional with Limited-Sample Data Classification Using Variational Autoencoder. Comput. Informatics 40 (1) (2021)
Weichan Zhong, Xiaojun Chen, Qingyao Wu, Min Yang, Joshua Zhexue Huang
Selection of diverse features with a diverse regularization. Pattern Recognit. 120 (2021)
Simin Yu, Kuntian Zhang, Chuan Xiao, Xianyu Bao, Joshua Zhexue Huang, Mark Junjie Li
BTGAN: Training GAN with Balanced Triplet Loss and Two-Branch Architecture. IJCNN (2021)
Weichan Zhong, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang
Adaptive discriminant analysis for semi-supervised feature selection. Inf. Sci. 566 (2021)
Yu-Lin He, Xuan Ye, De-Fa Huang, Joshua Zhexue Huang, Jun-Hai Zhai
Novel kernel density estimator based on ensemble unbiased cross-validation. Inf. Sci. 581 (2021)
Jiayin Yu, Yulin He, Joshua Zhexue Huang
A Two-Stage Missing Value Imputation Method Based on Autoencoder Neural Network. IEEE BigData (2021)
Salman Salloum, Joshua Zhexue Huang
RSP-Hist: Approximate Histograms for Big Data Exploration on Hadoop Clusters. HiPC (2021)
Thanh Trinh, Dingming Wu, Ruili Wang, Joshua Zhexue Huang
An effective content-based event recommendation model. Multim. Tools Appl. 80 (11) (2021)
Yulin He, Yingyan Wu, Honglian Qin, Joshua Zhexue Huang, Yi Jin
Improved I-nice clustering algorithm based on density peaks mechanism. Inf. Sci. 548 (2021)
Xueqin Du, Yulin He, Joshua Zhexue Huang
Random Sample Partition-Based Clustering Ensemble Algorithm for Big Data. IEEE BigData (2021)
Guiliang Ou, Yulin He, Joshua Zhexue Huang
A Compressed Hidden Naive Bayesian Classifier. IJCNN (2021)
Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang
LABIN: Balanced Min Cut for Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. 31 (3) (2020)
Imran Khan, Zongwei Luo, Joshua Zhexue Huang, Waseem Shahzad
Variable Weighting in Fuzzy k-Means Clustering to Determine the Number of Clusters. IEEE Trans. Knowl. Data Eng. 32 (9) (2020)
Yingyan Wu, Yulin He, Joshua Zhexue Huang
Clustering Ensembles Based on Probability Density Function Estimation. CSCloud/EdgeCom (2020)
Xiaoliang Zhang, Yulin He, Yi Jin, Honglian Qin, Muhammad Azhar, Joshua Zhexue Huang
A Robust k-Means Clustering Algorithm Based on Observation Point Mechanism. Complex. 2020 (2020)
Farid M. Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu
On quantum methods for machine learning problems part II: Quantum classification algorithms. Big Data Min. Anal. 3 (1) (2020)
Xuan Ye, Yulin He, Joshua Zhexue Huang
Attribute Bagging-Based Extreme Learning Machine. ICA3PP (2) (2020)
Thanh Trinh, Dingming Wu, Joshua Zhexue Huang, Muhammad Azhar
Activeness and Loyalty Analysis in Event-Based Social Networks. Entropy 22 (1) (2020)
Wenting Wang, Yu-Lin He, Joshua Zhexue Huang, Liheng Ma
A new approach to solve opinion dynamics on complex networks. Expert Syst. Appl. 145 (2020)
Xiaojun Chen, Weijun Hong, Feiping Nie, Joshua Zhexue Huang, Li Shen
Enhanced Balanced Min Cut. Int. J. Comput. Vis. 128 (7) (2020)
Yu-Lin He, Honglian Qin, Joshua Zhexue Huang, Yi Jin
Novel electricity pattern identification system based on improved I-nice algorithm. Comput. Ind. Eng. 150 (2020)
Farid M. Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu
On quantum methods for machine learning problems part I: Quantum tools. Big Data Min. Anal. 3 (1) (2020)
Yizhe Bai, Jianfei Yin, Shunda Ju, Zhao Chen, Joshua Zhexue Huang
Long and Short Term Risk Control for Online Portfolio Selection. KSEM (2) (2020)
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Xianghua Fu
Variational Autoencoder-Based Dimensionality Reduction for High-Dimensional Small-Sample Data Classification. Int. J. Comput. Intell. Appl. 19 (1) (2020)
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salman Salloum, Tamer Z. Emara, Kuanishbay Sadatdiynov
A survey of data partitioning and sampling methods to support big data analysis. Big Data Min. Anal. 3 (2) (2020)
Shengsheng Xu, Yulin He, Joshua Zhexue Huang
Observation Points-Based Particle Swarm Optimization Algorithm. CSCloud/EdgeCom (2020)
Muhammad Azhar, Joshua Zhexue Huang, Md Abdul Masud, Mark Junjie Li, Laizhong Cui
A hierarchical Gamma Mixture Model-based method for estimating the number of clusters in complex data. Appl. Soft Comput. 87 (2020)
Tamer Z. Emara, Joshua Zhexue Huang
Distributed Data Strategies to Support Large-Scale Data Analysis Across Geo-Distributed Data Centers. IEEE Access 8 (2020)
Jianfei Yin, Ruili Wang, Shunda Ju, Yizhe Bai, Joshua Zhexue Huang
An Asymptotic Statistical Learning Algorithm for Prediction of Key Trading Events. IEEE Intell. Syst. 35 (2) (2020)
Salman Salloum, Joshua Zhexue Huang, Yulin He
Random Sample Partition: A Distributed Data Model for Big Data Analysis. IEEE Trans. Ind. Informatics 15 (11) (2019)
Thanh Trinh, Ngoc-Tuan Nguyen, Dingming Wu, Joshua Zhexue Huang, Tamer Z. Emara
A New Location-Based Topic Model for Event Attendees Recommendation. RIVF (2019)
Tamer Z. Emara, Joshua Zhexue Huang
RRPlib: A spark library for representing HDFS blocks as a set of random sample data blocks. Sci. Comput. Program. 184 (2019)
Muhammad Azhar, Mark Junjie Li, Joshua Zhexue Huang
A Hierarchical Gamma Mixture Model-Based Method for Classification of High-Dimensional Data. Entropy 21 (9) (2019)
Xiaojun Chen, Joshua Zhexue Huang, Qingyao Wu, Min Yang
Subspace Weighting Co-Clustering of Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (2) (2019)
Salman Salloum, Joshua Zhexue Huang, Yulin He
Exploring and cleaning big data with random sample data blocks. J. Big Data 6 (2019)
Jie Jiang, Yu-Lin He, De-Xin Dai, Joshua Zhexue Huang
A new kernel density estimator based on the minimum entropy of data set. Inf. Sci. 491 (2019)
Laizhong Cui, Chong Xu, Shu Yang, Joshua Zhexue Huang, Jianqiang Li, Xizhao Wang, Zhong Ming, Nan Lu
Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things. IEEE Internet Things J. 6 (3) (2019)
Ahmad A. Aziz El-Banna, Basem M. ElHalawany, Ahmed B. Zaky, Joshua Zhexue Huang, Kaishun Wu
Machine Learning-Based Multi-Layer Multi-Hop Transmission Scheme for Dense Networks. IEEE Commun. Lett. 23 (12) (2019)
Wenting Wang, Yulin He, Liheng Ma, Joshua Zhexue Huang
Latent Feature Group Learning for High-Dimensional Data Clustering. Inf. 10 (6) (2019)
Ahmad A. Aziz El-Banna, Ahmed B. Zaky, Basem M. ElHalawany, Joshua Zhexue Huang, Kaishun Wu
Machine Learning Based Dynamic Cooperative Transmission Framework for IoUT Networks. SECON (2019)
Tinglin Huang, Yulin He, De-Xin Dai, Wenting Wang, Joshua Zhexue Huang
Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification. PAKDD (Workshops) (2019)
Dingming Wu, Dexin Luo, Christian S. Jensen, Joshua Zhexue Huang
Efficiently Mining Maximal Diverse Frequent Itemsets. DASFAA (2) (2019)
Tamer Z. Emara, Joshua Zhexue Huang
A distributed data management system to support large-scale data analysis. J. Syst. Softw. 148 (2019)
Thanh Trinh, Dingming Wu, Joshua Zhexue Huang
C3C: A New Static Content-Based Three-Level Web Cache. IEEE Access 7 (2019)
Salman Salloum, Joshua Zhexue Huang, Yulin He, Xiaojun Chen
An Asymptotic Ensemble Learning Framework for Big Data Analysis. IEEE Access 7 (2019)
Timur Valiullin, Joshua Zhexue Huang, Jianfei Yin, Dingming Wu
A New Approach for Approximately Mining Frequent Itemsets. DAMDID/RCDL (2019)
Xianghua Fu, Yanzhi Wei, Fan Xu, Ting Wang, Yu Lu, Jianqiang Li, Joshua Zhexue Huang
Semi-supervised Aspect-level Sentiment Classification Model based on Variational Autoencoder. Knowl. Based Syst. 171 (2019)
Ahmed B. Zaky, Joshua Zhexue Huang, Kaishun Wu, Basem M. ElHalawany
Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems. CoRR (2019)
Md Abdul Masud, Joshua Zhexue Huang, Ming Zhong, Xianghua Fu
Generate pairwise constraints from unlabeled data for semi-supervised clustering. Data Knowl. Eng. 123 (2019)
Salman Salloum, Yinxu Wu, Joshua Zhexue Huang
A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters. CIKM (2019)
Xianghua Fu, Xudong Sun, Haiying Wu, Laizhong Cui, Joshua Zhexue Huang
Weakly supervised topic sentiment joint model with word embeddings. Knowl. Based Syst. 147 (2018)
Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Joshua Zhexue Huang
PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data. IEEE Trans. Knowl. Data Eng. 30 (3) (2018)
Mohammad Sultan Mahmud, Xianghua Fu, Joshua Zhexue Huang, Md Abdul Masud
High-Dimensional Limited-Sample Biomedical Data Classification Using Variational Autoencoder. AusDM (2018)
Md Abdul Masud, Joshua Zhexue Huang, Chenghao Wei, Jikui Wang, Imran Khan, Ming Zhong
I-nice: A new approach for identifying the number of clusters and initial cluster centres. Inf. Sci. 466 (2018)
Xiaojun Chen, Weijun Hong, Feiping Nie, Dan He, Min Yang, Joshua Zhexue Huang
Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut. KDD (2018)
Min Yang, Qiang Qu, Kai Lei, Jia Zhu, Zhou Zhao, Xiaojun Chen, Joshua Zhexue Huang
Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation. SDM (2018)
Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang, Xingwang Zhao, Yinfeng Meng, Kai Feng, Yuhua Qian
An Algorithm for Clustering Categorical Data With Set-Valued Features. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Yu-Lin He, Chenghao Wei, Hao Long, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang
Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data. Appl. Soft Comput. 70 (2018)
Yu-Lin He, Xiaoliang Zhang, Wei Ao, Joshua Zhexue Huang
Determining the optimal temperature parameter for Softmax function in reinforcement learning. Appl. Soft Comput. 70 (2018)
Xiaojun Chen, Min Yang, Joshua Zhexue Huang, Ming Zhong
TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering. Pattern Recognit. 76 (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Joshua Zhexue Huang