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ORCIDJoshua Zhexue Huang
Zhexue Huang
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- affiliation: University of Hong Kong
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2020 – today
- 2025
[j140]Yongda Cai
, Mohammad Sultan Mahmud, Jingsheng Xu, Xudong Sun, Joshua Zhexue Huang:
Spectral ensemble clustering with doubly stochastic co-association matrix. Inf. Sci. 686: 121314 (2025)- 2024
- [j139]Yongda Cai, Joshua Zhexue Huang, Alladoumbaye Ngueilbaye, Xudong Sun:
Adaptive Neighbors Graph Learning for Large-Scale Data Clustering using Vector Quantization and Self-Regularization. Appl. Soft Comput. 167: 112256 (2024) - [j138]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) - [j137]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: 107648 (2024) - [j136]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: 107979 (2024) - [j135]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: 124299 (2024) - [j134]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) - [j133]Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salvador García:
Clustering approximation via a fusion of multiple random samples. Inf. Fusion 101: 101986 (2024) - [j132]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): 103577 (2024) - [j131]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): 103746 (2024) - [j130]Yu-Lin He, Jia-Yin Yu, Xu Li, Philippe Fournier-Viger, Joshua Zhexue Huang:
A novel and efficient risk minimisation-based missing value imputation algorithm. Knowl. Based Syst. 304: 112435 (2024) - 2023
- [j129]Yu-Lin He, Zhen-Hao Yuan, Joshua Zhexue Huang:
Random vector functional link network with subspace-based local connections. Appl. Intell. 53(2): 1567-1585 (2023) - [j128]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): 154-169 (2023) - [j127]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): 500-517 (2023) - [j126]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): 1425-1443 (2023) - [j125]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): 450-461 (2023) - [j124]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): 40 (2023) - [j123]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: 1-13 (2023) - [j122]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): 2017-2042 (2023) - [j121]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): 657-674 (2023) - [j120]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): 182-196 (2023) - [j119]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): 1142-1155 (2023) - [j118]Alladoumbaye Ngueilbaye, Joshua Zhexue Huang, Mehak Khan, Hongzhi Wang:
Data quality model for assessing public COVID-19 big datasets. J. Supercomput. 79(17): 19574-19606 (2023) - [j117]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): 1283-1296 (2023) - [c120]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. IEEE Big Data 2023: 710-717 - [c119]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: 3875-3876 - 2022
- [j116]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: 103314 (2022) - [j115]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: 116782 (2022) - [j114]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: 191-203 (2022) - [j113]Yulin He, Xizhao Wang, Joshua Zhexue Huang:
Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. 13(2): 561-564 (2022) - [j112]Yulin He, Xizhao Wang, Joshua Zhexue Huang:
Correction to: Recent advances in multiple criteria decision making techniques. Int. J. Mach. Learn. Cybern. 13(2): 565 (2022) - [j111]Yu-Lin He, Shengsheng Xu, Joshua Zhexue Huang:
Creating synthetic minority class samples based on autoencoder extreme learning machine. Pattern Recognit. 121: 108191 (2022) - [j110]Chen Wang, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang:
Directly solving normalized cut for multi-view data. Pattern Recognit. 130: 108809 (2022) - [j109]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): 30:1-30:26 (2022) - [j108]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): 30:1-30:27 (2022) - [j107]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): 4371-4384 (2022) - [c118]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: 21-33 - [c117]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: 447-457 - [c116]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: 703-712 - [c115]Xueqin Du, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang:
DenMG: Density-Based Member Generation for Ensemble Clustering. ICPP Workshops 2022: 24:1-24:7 - [c114]Guiliang Ou, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang:
Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier. IJCNN 2022: 1-8 - [e9]Joshua Zhexue Huang, Yi Pan, Barbara Hammer, Muhammad Khurram Khan, Xing Xie, Laizhong Cui, Yulin He:
9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022. IEEE 2022, ISBN 978-1-6654-7330-9 [contents] - 2021
- [j106]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): 1-28 (2021) - [j105]Timur Valiullin, Zhexue Huang, Chenghao Wei, Jianfei Yin, Dingming Wu, Iuliia Egorova:
A new approximate method for mining frequent itemsets from big data. Comput. Sci. Inf. Syst. 18(3): 641-656 (2021) - [j104]Yulin He, Yingyan Wu, Honglian Qin, Joshua Zhexue Huang, Yi Jin:
Improved I-nice clustering algorithm based on density peaks mechanism. Inf. Sci. 548: 177-190 (2021) - [j103]Weichan Zhong, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang:
Adaptive discriminant analysis for semi-supervised feature selection. Inf. Sci. 566: 178-194 (2021) - [j102]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: 327-344 (2021) - [j101]Thanh Trinh, Dingming Wu, Ruili Wang, Joshua Zhexue Huang:
An effective content-based event recommendation model. Multim. Tools Appl. 80(11): 16599-16618 (2021) - [j100]Weichan Zhong, Xiaojun Chen, Qingyao Wu, Min Yang, Joshua Zhexue Huang:
Selection of diverse features with a diverse regularization. Pattern Recognit. 120: 108154 (2021) - [c113]Xueqin Du, Yulin He, Joshua Zhexue Huang:
Random Sample Partition-Based Clustering Ensemble Algorithm for Big Data. IEEE BigData 2021: 5885-5887 - [c112]Jiayin Yu, Yulin He, Joshua Zhexue Huang:
A Two-Stage Missing Value Imputation Method Based on Autoencoder Neural Network. IEEE BigData 2021: 6064-6066 - [c111]Salman Salloum, Joshua Zhexue Huang:
RSP-Hist: Approximate Histograms for Big Data Exploration on Hadoop Clusters. HiPC 2021: 412-417 - [c110]Guiliang Ou, Yulin He, Joshua Zhexue Huang:
A Compressed Hidden Naive Bayesian Classifier. IJCNN 2021: 1-7 - [c109]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: 1-8 - 2020
- [j99]Tamer Z. Emara, Joshua Zhexue Huang:
Distributed Data Strategies to Support Large-Scale Data Analysis Across Geo-Distributed Data Centers. IEEE Access 8: 178526-178538 (2020) - [j98]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: 105891 (2020) - [j97]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): 41-55 (2020) - [j96]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): 56-67 (2020) - [j95]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): 85-101 (2020) - [j94]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: 106908 (2020) - [j93]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: 3650926:1-3650926:11 (2020) - [j92]Thanh Trinh, Dingming Wu, Joshua Zhexue Huang, Muhammad Azhar:
Activeness and Loyalty Analysis in Event-Based Social Networks. Entropy 22(1): 119 (2020) - [j91]Wenting Wang, Yu-Lin He, Joshua Zhexue Huang, Liheng Ma:
A new approach to solve opinion dynamics on complex networks. Expert Syst. Appl. 145: 113132 (2020) - [j90]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): 25-35 (2020) - [j89]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): 2050002 (2020) - [j88]Xiaojun Chen, Weijun Hong, Feiping Nie, Joshua Zhexue Huang, Li Shen:
Enhanced Balanced Min Cut. Int. J. Comput. Vis. 128(7): 1982-1995 (2020) - [j87]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): 1838-1853 (2020) - [j86]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): 725-736 (2020) - [c108]Yingyan Wu, Yulin He, Joshua Zhexue Huang:
Clustering Ensembles Based on Probability Density Function Estimation. CSCloud/EdgeCom 2020: 126-131 - [c107]Shengsheng Xu, Yulin He, Joshua Zhexue Huang:
Observation Points-Based Particle Swarm Optimization Algorithm. CSCloud/EdgeCom 2020: 139-144 - [c106]Xuan Ye, Yulin He, Joshua Zhexue Huang:
Attribute Bagging-Based Extreme Learning Machine. ICA3PP (2) 2020: 509-522 - [c105]Yizhe Bai, Jianfei Yin, Shunda Ju, Zhao Chen, Joshua Zhexue Huang:
Long and Short Term Risk Control for Online Portfolio Selection. KSEM (2) 2020: 472-480
2010 – 2019
- 2019
- [j85]Salman Salloum, Joshua Zhexue Huang, Yulin He, Xiaojun Chen:
An Asymptotic Ensemble Learning Framework for Big Data Analysis. IEEE Access 7: 3675-3693 (2019) - [j84]Thanh Trinh, Dingming Wu, Joshua Zhexue Huang:
C3C: A New Static Content-Based Three-Level Web Cache. IEEE Access 7: 11796-11808 (2019) - [j83]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) - [j82]Muhammad Azhar, Mark Junjie Li, Joshua Zhexue Huang:
A Hierarchical Gamma Mixture Model-Based Method for Classification of High-Dimensional Data. Entropy 21(9): 906 (2019) - [j81]Ahmad A. Aziz El-Banna, Basem M. ElHalawany, Ahmed Bayoumy Zaki, Joshua Zhexue Huang, Kaishun Wu:
Machine Learning-Based Multi-Layer Multi-Hop Transmission Scheme for Dense Networks. IEEE Commun. Lett. 23(12): 2238-2242 (2019) - [j80]Wenting Wang, Yulin He, Liheng Ma, Joshua Zhexue Huang:
Latent Feature Group Learning for High-Dimensional Data Clustering. Inf. 10(6): 208 (2019) - [j79]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): 4791-4803 (2019) - [j78]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: 223-231 (2019) - [j77]Salman Salloum, Joshua Zhexue Huang, Yulin He:
Exploring and cleaning big data with random sample data blocks. J. Big Data 6: 45 (2019) - [j76]Tamer Z. Emara, Joshua Zhexue Huang:
A distributed data management system to support large-scale data analysis. J. Syst. Softw. 148: 105-115 (2019) - [j75]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: 81-92 (2019) - [j74]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) - [j73]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): 352-364 (2019) - [j72]Salman Salloum, Joshua Zhexue Huang, Yulin He:
Random Sample Partition: A Distributed Data Model for Big Data Analysis. IEEE Trans. Ind. Informatics 15(11): 5846-5854 (2019) - [c104]Salman Salloum, Yinxu Wu, Joshua Zhexue Huang:
A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters. CIKM 2019: 2481-2484 - [c103]Dingming Wu, Dexin Luo, Christian S. Jensen, Joshua Zhexue Huang:
Efficiently Mining Maximal Diverse Frequent Itemsets. DASFAA (2) 2019: 191-207 - [c102]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: 153-163 - [c101]Timur Valiullin, Joshua Zhexue Huang, Jianfei Yin, Dingming Wu:
A New Approach for Approximately Mining Frequent Itemsets. DAMDID/RCDL 2019: 46-58 - [c100]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: 1-6 - [c99]Ahmad A. Aziz El-Banna, Ahmed Bayoumy Zaki, Basem M. ElHalawany, Joshua Zhexue Huang, Kaishun Wu:
Machine Learning Based Dynamic Cooperative Transmission Framework for IoUT Networks. SECON 2019: 1-9 - [c98]Yaowei Wang, Qing Li, Zhexue Huang, Mark Junjie Li:
EAN: Event Attention Network for Stock Price Trend Prediction based on Sentimental Embedding. WebSci 2019: 311-320 - [i3]Ahmed Bayoumy Zaki, Joshua Zhexue Huang, Kaishun Wu, Basem M. ElHalawany:
Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems. CoRR abs/1910.05510 (2019) - 2018
- [j71]Md Abdul Masud, Joshua Zhexue Huang, Ming Zhong, Xianghua Fu:
Cluster Survival Model of Concept Drift in Load Profile Data. IEEE Access 6: 51269-51285 (2018) - [j70]Qiang Wang, Thanh-Tung Nguyen, Joshua Zhexue Huang, Thuy Thi Nguyen:
An efficient random forests algorithm for high dimensional data classification. Adv. Data Anal. Classif. 12(4): 953-972 (2018) - [j69]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: 80-85 (2018) - [j68]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: 959-979 (2018) - [j67]Laizhong Cui, Kai Zhang, Genghui Li, Xizhao Wang, Shu Yang, Zhong Ming, Joshua Zhexue Huang, Nan Lu:
A smart artificial bee colony algorithm with distance-fitness-based neighbor search and its application. Future Gener. Comput. Syst. 89: 478-493 (2018) - [j66]Imran Khan, Joshua Zhexue Huang, Zongwei Luo, Md Abdul Masud:
CPLP: An algorithm for tracking the changes of power consumption patterns in load profile data over time. Inf. Sci. 429: 332-348 (2018) - [j65]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: 129-151 (2018) - [j64]Xianghua Fu, Xudong Sun, Haiying Wu, Laizhong Cui, Joshua Zhexue Huang:
Weakly supervised topic sentiment joint model with word embeddings. Knowl. Based Syst. 147: 43-54 (2018) - [j63]Xiaojun Chen, Min Yang, Joshua Zhexue Huang, Zhong Ming:
TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering. Pattern Recognit. 76: 404-415 (2018) - [j62]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): 559-572 (2018) - [j61]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): 4593-4606 (2018) - [j60]Xiaojun Chen, Guowen Yuan, Wenting Wang, Feiping Nie, Xiaojun Chang, Joshua Zhexue Huang:
Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6362-6373 (2018) - [c97]Md Abdul Masud, Joshua Zhexue Huang, Ming Zhong, Xianghua Fu, Mohammad Sultan Mahmud:
Slice_OP: Selecting Initial Cluster Centers Using Observation Points. ADMA 2018: 17-30 - [c96]Mohammad Sultan Mahmud, Xianghua Fu, Joshua Zhexue Huang, Md Abdul Masud:
High-Dimensional Limited-Sample Biomedical Data Classification Using Variational Autoencoder. AusDM 2018: 30-42 - [c95]Chenghao Wei, Salman Salloum, Tamer Z. Emara, Xiaoliang Zhang, Joshua Zhexue Huang, Yu-Lin He:
A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis. CLOUD 2018: 347-364 - [c94]