default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJoshua Zhexue Huang
Zhexue Huang
Person information
- affiliation: University of Hong Kong
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j141]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
- [j140]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) - [j139]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) - [j138]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) - [j137]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) - [j136]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) - [j135]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) - [j134]Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salvador García:
Clustering approximation via a fusion of multiple random samples. Inf. Fusion 101: 101986 (2024) - [j133]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) - [j132]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) - [j131]Yulin He, Xuan Lu, Philippe Fournier-Viger, Joshua Zhexue Huang:
A novel overlapping minimization SMOTE algorithm for imbalanced classification. Frontiers Inf. Technol. Electron. Eng. 25(9): 1266-1281 (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]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: 1206-1215 - [c93]Jie Jiang, Yu-Lin He, Joshua Zhexue Huang:
Particle Swarm Optimization-Based Weighted-Nadaraya-Watson Estimator. PAKDD (Workshops) 2018: 267-279 - [c92]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: 630-638 - 2017
- [j59]Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang:
A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes. Appl. Math. Comput. 295: 1-15 (2017) - [j58]Fuyuan Cao, Liqin Yu, Joshua Zhexue Huang, Jiye Liang:
k-mw-modes: An algorithm for clustering categorical matrix-object data. Appl. Soft Comput. 57: 605-614 (2017) - [j57]Xiaojun Chen, Si Peng, Joshua Zhexue Huang, Feiping Nie, Yong Ming:
Local PurTree Spectral Clustering for Massive Customer Transaction Data. IEEE Intell. Syst. 32(2): 37-44 (2017) - [j56]Rana Aamir Raza Ashfaq, Xi-Zhao Wang, Joshua Zhexue Huang, Haider Abbas, Yu-Lin He:
Fuzziness based semi-supervised learning approach for intrusion detection system. Inf. Sci. 378: 484-497 (2017) - [j55]Jianguo Wang, Joshua Zhexue Huang, Jiafeng Guo, Yanyan Lan:
Query ranking model for search engine query recommendation. Int. J. Mach. Learn. Cybern. 8(3): 1019-1038 (2017) - [j54]He Zhao, Salman Salloum, Yeshou Cai, Joshua Zhexue Huang:
Ensemble subspace clustering of text data using two-level features. Int. J. Mach. Learn. Cybern. 8(6): 1751-1766 (2017) - [c91]Yu-Lin He, Joshua Zhexue Huang, Hao Long, Qiang Wang, Chenghao Wei:
I-Sampling: A New Block-Based Sampling Method for Large-Scale Dataset. BigData Congress 2017: 360-367 - [c90]Xiaojun Chen, Joshua Zhexue Huang, Feiping Nie, Renjie Chen, Qingyao Wu:
A Self-Balanced Min-Cut Algorithm for Image Clustering. ICCV 2017: 2080-2088 - [c89]Wei Ao, Yu-Lin He, Joshua Zhexue Huang, Yupeng He:
Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation. ICONIP (1) 2017: 3-12 - [c88]Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, Min Yang:
Scalable Normalized Cut with Improved Spectral Rotation. IJCAI 2017: 1518-1524 - [c87]Xiaojun Chen, Guowen Yuan, Feiping Nie, Joshua Zhexue Huang:
Semi-supervised Feature Selection via Rescaled Linear Regression. IJCAI 2017: 1525-1531 - [c86]Hao Long, Yu-Lin He, Joshua Zhexue Huang, Qiang Wang:
Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems. PAKDD (Workshops) 2017: 116-128 - [c85]Thanh Trinh, Dingming Wu, Joshua Zhexue Huang:
A New Static Web Caching Mechanism Based on Mutual Dependency Between Result Cache and Posting List Cache. WISE (2) 2017: 148-156 - [i2]Salman Salloum, Yu-Lin He, Joshua Zhexue Huang, Xiaoliang Zhang, Tamer Z. Emara:
A Random Sample Partition Data Model for Big Data Analysis. CoRR abs/1712.04146 (2017) - 2016
- [j53]Imran Khan, Joshua Zhexue Huang, Md Abdul Masud, Qingshan Jiang:
Segmentation of Factories on Electricity Consumption Behaviors Using Load Profile Data. IEEE Access 4: 8394-8406 (2016) - [j52]Salman Salloum, Ruslan Dautov, Xiaojun Chen, Patrick Xiaogang Peng, Joshua Zhexue Huang:
Big data analytics on Apache Spark. Int. J. Data Sci. Anal. 1(3-4): 145-164 (2016) - [j51]Imran Khan, Joshua Zhexue Huang, Kamen Ivanov:
Incremental density-based ensemble clustering over evolving data streams. Neurocomputing 191: 34-43 (2016) - [j50]Jianguo Wang, Joshua Zhexue Huang, Dingming Wu, Jiafeng Guo, Yanyan Lan:
An incremental model on search engine query recommendation. Neurocomputing 218: 423-431 (2016) - [j49]Yu-Lin He, Xizhao Wang, Joshua Zhexue Huang:
Fuzzy nonlinear regression analysis using a random weight network. Inf. Sci. 364-365: 222-240 (2016) - [j48]Jianqiang Li, Jing Li, Xianghua Fu, Md Abdul Masud, Joshua Zhexue Huang:
Learning distributed word representation with multi-contextual mixed embedding. Knowl. Based Syst. 106: 220-230 (2016) - [c84]Salman Salloum, Joshua Zhexue Huang, Yu-Lin He:
Empirical analysis of asymptotic ensemble learning for big data. BDCAT 2016: 8-17 - [c83]Xiaojun Chen, Joshua Zhexue Huang, Jun Luo:
PurTreeClust: A purchase tree clustering algorithm for large-scale customer transaction data. ICDE 2016: 661-672 - [c82]He Zhao, Xiaojun Chen, Thanh-Tung Nguyen, Joshua Zhexue Huang, Graham J. Williams, Hui Chen:
Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data. PAISI 2016: 63-72 - [c81]Yu-Lin He, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang, Xizhao Wang:
Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification. PAKDD Workshops 2016: 48-60 - [c80]Thanh Trinh, Dingming Wu, Salman Salloum, Tung Nguyen, Joshua Zhexue Huang:
A frequency-based gene selection method with random forests for gene data analysis. RIVF 2016: 193-198 - [e8]James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang:
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9651, Springer 2016, ISBN 978-3-319-31752-6 [contents] - [e7]James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang:
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9652, Springer 2016, ISBN 978-3-319-31749-6 [contents] - 2015
- [j47]Thanh-Tung Nguyen, Joshua Zhexue Huang, Qingyao Wu, Thuy Thi Nguyen, Mark Junjie Li:
Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests. BMC Genom. 16(S-2): S5 (2015) - [j46]Xizhao Wang, Joshua Zhexue Huang:
Editorial: Uncertainty in learning from big data. Fuzzy Sets Syst. 258: 1-4 (2015) - [j45]Jianguo Wang, Joshua Zhexue Huang, Jiafeng Guo, Yanyan Lan:
Recommending high-utility search engine queries via a query-recommending model. Neurocomputing 167: 195-208 (2015) - [j44]Zhongying Zhao, Chao Li, Yong Zhang, Joshua Zhexue Huang, Jun Luo, Shengzhong Feng, Jianping Fan:
Identifying and Analyzing Popular Phrases Multi-Dimensionally in Social Media Data. Int. J. Data Warehous. Min. 11(3): 98-112 (2015) - [j43]Xianghua Fu, Kun Yang, Joshua Zhexue Huang, Laizhong Cui:
Dynamic non-parametric joint sentiment topic mixture model. Knowl. Based Syst. 82: 102-114 (2015) - [j42]Thanh-Tung Nguyen, Joshua Zhexue Huang, Thuy Thi Nguyen:
Two-level quantile regression forests for bias correction in range prediction. Mach. Learn. 101(1-3): 325-343 (2015) - [j41]Liping Jing, Kuang Tian, Joshua Zhexue Huang:
Stratified feature sampling method for ensemble clustering of high dimensional data. Pattern Recognit. 48(11): 3688-3702 (2015) - [c79]Yu-Lin He, Joshua Zhexue Huang, Xizhao Wang, Rana Aamir Raza:
Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models. PAKDD (1) 2015: 405-417 - [c78]Thanh-Tung Nguyen, He Zhao, Joshua Zhexue Huang, Thuy Thi Nguyen, Mark Junjie Li:
A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data. PAKDD (2) 2015: 459-470 - 2014
- [j40]Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang:
Trend analysis of categorical data streams with a concept change method. Inf. Sci. 276: 160-173 (2014) - [j39]Tengke Xiong, Shengrui Wang, Qingshan Jiang, Joshua Zhexue Huang:
A Novel Variable-order Markov Model for Clustering Categorical Sequences. IEEE Trans. Knowl. Data Eng. 26(10): 2339-2353 (2014) - [c77]Nguyen Thanh Tung, Joshua Zhexue Huang, Thuy Thi Nguyen, Imran Khan:
Bias-corrected Quantile Regression Forests for high-dimensional data. ICMLC 2014: 1-6 - [c76]Yeshou Cai, Xiaojun Chen, Patrick Xiaogang Peng, Joshua Zhexue Huang:
A LDA Feature Grouping Method for Subspace Clustering of Text Data. PAISI 2014: 78-90 - [c75]Nguyen Thanh Tung, Joshua Zhexue Huang, Imran Khan, Mark Junjie Li, Graham J. Williams:
Extensions to Quantile Regression Forests for Very High-Dimensional Data. PAKDD (2) 2014: 247-258 - [c74]Imran Khan, Joshua Zhexue Huang, Nguyen Thanh Tung, Graham J. Williams:
Ensemble Clustering of High Dimensional Data with FastMap Projection. PAKDD Workshops 2014: 483-493 - [c73]Jianguo Wang, Joshua Zhexue Huang:
QRM: A Probabilistic Model for Search Engine Query Recommendation. PAKDD Workshops 2014: 665-676 - [e6]Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu:
2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-4302-9 [contents] - [e5]Zhi-Hua Zhou, Wei Wang, Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu:
2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-4274-9 [contents] - 2013
- [j38]Qiang Wang, Yunming Ye, Joshua Zhexue Huang, Shengzhong Feng:
Post-processing strategies for improving local gene expression pattern analysis. Int. J. Data Min. Bioinform. 7(1): 1-21 (2013) - [j37]Yan Li, Yunming Ye, Zhaocai Sun, Edward Hung, Joshua Zhexue Huang, Yueping Li:
An ensemble of decision cluster crotches for classification of high dimensional data. Knowl. Based Syst. 43: 63-73 (2013) - [j36]Yunming Ye, Qingyao Wu, Joshua Zhexue Huang, Michael K. Ng, Xutao Li:
Stratified sampling for feature subspace selection in random forests for high dimensional data. Pattern Recognit. 46(3): 769-787 (2013) - [j35]Jinfei Liu, Li Xiong, Jun Luo, Joshua Zhexue Huang:
Privacy Preserving Distributed DBSCAN Clustering. Trans. Data Priv. 6(1): 69-85 (2013) - [j34]Xiaojun Chen, Xiaofei Xu, Joshua Zhexue Huang, Yunming Ye:
TW-k-Means: Automated Two-Level Variable Weighting Clustering Algorithm for Multiview Data. IEEE Trans. Knowl. Data Eng. 25(4): 932-944 (2013) - [c72]Ming Gao, Fuyuan Cao, Joshua Zhexue Huang:
A cross cluster-based collaborative filtering method for recommendation. ICIA 2013: 447-452 - [c71]Junchao Lv, Qiang Wang, Joshua Zhexue Huang:
A hybrid optimization method for acceleration of building linear classification models. IJCNN 2013: 1-8 - [c70]Fuyuan Cao, Joshua Zhexue Huang:
A Concept-Drifting Detection Algorithm for Categorical Evolving Data. PAKDD (2) 2013: 485-496 - 2012
- [j33]Yan Li, Edward Hung, Korris Fu-Lai Chung, Joshua Zhexue Huang:
Using a Variable Weighting k-Means Method to Build a Decision Cluster Classification Model. Int. J. Pattern Recognit. Artif. Intell. 26(2) (2012) - [j32]Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Qiang Wang, Yunming Ye:
Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces. Int. J. Data Warehous. Min. 8(2): 44-63 (2012) - [j31]Zhongying Zhao, Shengzhong Feng, Qiang Wang, Joshua Zhexue Huang, Graham J. Williams, Jianping Fan:
Topic oriented community detection through social objects and link analysis in social networks. Knowl. Based Syst. 26: 164-173 (2012) - [j30]Xiaojun Chen, Yunming Ye, Xiaofei Xu, Joshua Zhexue Huang:
A feature group weighting method for subspace clustering of high-dimensional data. Pattern Recognit. 45(1): 434-446 (2012) - [c69]Shuang Wang, Xiaojun Chen, Joshua Zhexue Huang, Shengzhong Feng:
Scalable Subspace Logistic Regression Models for High Dimensional Data. APWeb 2012: 685-694 - [c68]Jinfei Liu, Joshua Zhexue Huang, Jun Luo, Li Xiong:
Privacy preserving distributed DBSCAN clustering. EDBT/ICDT Workshops 2012: 177-185 - [c67]Chao Li, Jun Luo, Joshua Zhexue Huang, Jianping Fan:
Multi-Layer Network for Influence Propagation over Microblog. PAISI 2012: 60-72 - [c66]Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng:
Scalable Random Forests for Massive Data. PAKDD (1) 2012: 135-146 - [c65]Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Mark Junjie Li, Yunming Ye:
Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data. PAKDD (1) 2012: 147-158 - [c64]Zhaocai Sun, Yunming Ye, Xiaofeng Zhang, Zhexue Huang, Shudong Chen, Zhi Liu:
Batch-Mode Active Learning with Semi-supervised Cluster Tree for Text Classification. Web Intelligence 2012: 388-395 - [e4]Longbing Cao, Joshua Zhexue Huang, James Bailey, Yun Sing Koh, Jun Luo:
New Frontiers in Applied Data Mining - PAKDD 2011 International Workshops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7104, Springer 2012, ISBN 978-3-642-28319-2 [contents] - 2011
- [j29]Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang, Joshua Zhexue Huang:
Margin-based ensemble classifier for protein fold recognition. Expert Syst. Appl. 38(10): 12348-12355 (2011) - [j28]Li Pan, Sydney C. K. Chu, Guangyue Han, Joshua Zhexue Huang:
A Heuristic Algorithm for the Inner-City Multi-Drop: Container Loading Problem. Int. J. Oper. Res. Inf. Syst. 2(3): 1-19 (2011) - [j27]Yuqing Sun, Joshua Zhexue Huang, Xiangxu Meng:
Integrating constraints to support legally flexible business processes. Inf. Syst. Frontiers 13(2): 171-189 (2011) - [j26]Zengyou He, Xiaofei Xu, Shengchun Deng, Joshua Zhexue Huang:
Clustering categorical data streams. J. Comput. Methods Sci. Eng. 11(4): 185-192 (2011) - [c63]Jinfei Liu, Jun Luo, Joshua Zhexue Huang:
Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements. ICDM Workshops 2011: 666-673 - [c62]Tengke Xiong, Shengrui Wang, Qingshan Jiang, Joshua Zhexue Huang:
A New Markov Model for Clustering Categorical Sequences. ICDM 2011: 854-863 - [c61]Li Pan, Joshua Zhexue Huang, Sydney C. K. Chu:
Order batching and picking in a synchronized zone order picking system. IEEM 2011: 156-160 - [c60]Liping Jing, Jiali Yun, Jian Yu, Joshua Zhexue Huang:
High-Order Co-clustering Text Data on Semantics-Based Representation Model. PAKDD (1) 2011: 171-182 - [e3]Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava:
Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6634, Springer 2011, ISBN 978-3-642-20840-9 [contents] - [e2]Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava:
Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6635, Springer 2011, ISBN 978-3-642-20846-1 [contents] - 2010
- [j25]Hongbing Wang, Yifei Wang, Joshua Zhexue Huang, Xun Xu:
A self-learning framework for services selection. Int. J. Inf. Technol. Manag. 9(1): 90-110 (2010) - [j24]Liping Jing, Michael K. Ng, Joshua Zhexue Huang:
Knowledge-based vector space model for text clustering. Knowl. Inf. Syst. 25(1): 35-55 (2010) - [c59]Zhiyong Zhong, Mark Junjie Li, Jin Chang, Le Zhou, Joshua Zhexue Huang, Shengzhong Feng:
CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform. ADMA (2) 2010: 13-20 - [c58]Qiang Wang, Yunming Ye, Joshua Zhexue Huang, Shengzhong Feng:
Fuzzy soft subspace clustering method for gene co-expression network analysis. BIBM Workshops 2010: 47-50 - [c57]Jin Chang, Jun Luo, Joshua Zhexue Huang, Shengzhong Feng, Jianping Fan:
Minimum Spanning Tree Based Classification Model for Massive Data with MapReduce Implementation. ICDM Workshops 2010: 129-137 - [c56]Haohan Zhu, Jun Luo, Hang Yin, Xiaotao Zhou, Joshua Zhexue Huang, F. Benjamin Zhan:
Mining Trajectory Corridors Using Fréchet Distance and Meshing Grids. PAKDD (1) 2010: 228-237 - [c55]Qingyao Wu, Yunming Ye, Michael K. Ng, Hanjing Su, Joshua Zhexue Huang:
Exploiting Word Cluster Information for Unsupervised Feature Selection. PRICAI 2010: 292-303
2000 – 2009
- 2009
- [j23]Liping Jing, Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang:
SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters. Int. J. Data Min. Model. Manag. 1(2): 149-177 (2009) - [r2]Joshua Zhexue Huang:
Clustering Categorical Data with k-Modes. Encyclopedia of Data Warehousing and Mining 2009: 246-250 - [r1]Liping Jing, Michael K. Ng, Joshua Zhexue Huang:
Soft Subspace Clustering for High-Dimensional Data. Encyclopedia of Data Warehousing and Mining 2009: 1810-1814 - 2008
- [j22]Yunming Ye, Hongbo Li, Xiaobai Deng, Joshua Zhexue Huang:
Feature Weighting Random Forest for Detection of Hidden Web Search Interfaces. Int. J. Comput. Linguistics Chin. Lang. Process. 13(4) (2008) - [j21]Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang:
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters. IEEE Trans. Knowl. Data Eng. 20(11): 1519-1534 (2008) - [j20]Lei Cao, Minglu Li, Jian Cao, Joshua Zhexue Huang:
CNP-based Implementation of Service-oriented Workflow Mapping in SHGWMS. World Wide Web 11(2): 199-226 (2008) - [c54]Yan Li, Edward Hung, Korris Fu-Lai Chung, Joshua Zhexue Huang:
Building a Decision Cluster Classification Model for High Dimensional Data by a Variable Weighting k-Means Method. Australasian Conference on Artificial Intelligence 2008: 337-347 - [c53]Qiang Wang, Yunming Ye, Joshua Zhexue Huang:
A Changing Window Approach to Exploring Gene Expression Patterns. BIBM 2008: 301-304 - [c52]Qiang Wang, Yunming Ye, Joshua Zhexue Huang:
Fuzzy K-Means with Variable Weighting in High Dimensional Data Analysis. WAIM 2008: 365-372 - 2007
- [j19]Yang Gao, Joshua Zhexue Huang, Lei Wu:
Learning classifier system ensemble and compact rule set. Connect. Sci. 19(4): 321-337 (2007) - [j18]Cheqing Jin, Aoying Zhou, Jeffrey Xu Yu, Joshua Zhexue Huang, Feng Cao:
Adaptive scheduling for shared window joins over data streams. Frontiers Comput. Sci. China 1(4): 468-477 (2007) - [j17]Michael K. Ng, Mark Junjie Li, Joshua Zhexue Huang, Zengyou He:
On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 503-507 (2007) - [j16]Liping Jing, Michael K. Ng, Joshua Zhexue Huang:
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data. IEEE Trans. Knowl. Data Eng. 19(8): 1026-1041 (2007) - [c51]Joshua Zhexue Huang, Yunming Ye:
PAKDD 2007 Industrial Track Workshop. PAKDD Workshops 2007: 1-2 - [c50]Shu Wu, Qingshan Jiang, Joshua Zhexue Huang:
A New Initialization Method for Clustering Categorical Data. PAKDD 2007: 972-980 - [e1]Takashi Washio, Zhi-Hua Zhou, Joshua Zhexue Huang, Xiaohua Hu, Jinyan Li, Chao Xie, Jieyue He, Deqing Zou, Kuan-Ching Li, Mário M. Freire:
Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4819, Springer 2007, ISBN 978-3-540-77016-9 [contents] - 2006
- [j15]Feilong Tang, Minglu Li, Joshua Zhexue Huang:
Automatic Transaction Compensation for Reliable Grid Applications. J. Comput. Sci. Technol. 21(4): 529-536 (2006) - [c49]Xingjun Zhang, Joshua Zhexue Huang, Depei Qian, Jun Xu, Liping Jing:
Supplier Categorization with K-Means Type Subspace Clustering. APWeb 2006: 226-237 - [c48]Yunming Ye, Yan Li, Xiaofei Xu, Joshua Zhexue Huang, Xiaojun Chen:
MFCRank: A Web Ranking Algorithm Based on Correlation of Multiple Features. CICLing 2006: 378-388 - [c47]Hongbing Wang, Yifei Wang, Joshua Zhexue Huang, Xun Xu:
SLF4SS: Facilitating Flexible Services Selection. IAT Workshops 2006: 312-315 - [c46]Michael K. Ng, Mark Junjie Li, Sio Iong Ao, Pak Chung Sham, Yiu-ming Cheung, Joshua Zhexue Huang:
Clustering of SNP Data with Application to Genomics. ICDM Workshops 2006: 158-162 - [c45]Yunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham J. Williams, Xiaofei Xu:
Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering. PAKDD 2006: 189-198 - [c44]Zengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang:
A Fast Greedy Algorithm for Outlier Mining. PAKDD 2006: 567-576 - [c43]Yang Gao, Lei Wu, Joshua Zhexue Huang:
Ensemble Learning Classifier System and Compact Ruleset. SEAL 2006: 42-49 - [p1]Xingwen Wang, Joshua Zhexue Huang:
A Case-Based Data Mining Platform. Selected Papers from AusDM 2006: 28-38 - 2005
- [j14]Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng:
FP-outlier: Frequent pattern based outlier detection. Comput. Sci. Inf. Syst. 2(1): 103-118 (2005) - [j13]Yang Gao, Hongqiang Rong, Joshua Zhexue Huang:
Adaptive grid job scheduling with genetic algorithms. Future Gener. Comput. Syst. 21(1): 151-161 (2005) - [j12]Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong, Zichen Li:
Automated Variable Weighting in k-Means Type Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 657-668 (2005) - [c42]Mi Zhang, Zunping Cheng, Yongzun Zhao, Joshua Zhexue Huang, Yinsheng Li, Binyu Zang:
ADDI: an agent-based extension to UDDI for supply chain management. CSCWD (1) 2005: 405-410 - [c41]Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu:
Learning classifier system ensemble for data mining. GECCO Workshops 2005: 63-66 - [c40]Joshua Zhexue Huang, Feilong Tang, Yunming Ye, George Q. Huang, Minglu Li:
Ontology-Based E-Catalog Matching for Integration of GDSN and EPCglobal Network. ICEBE 2005: 212-215 - [c39]Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu:
LCSE: Learning Classifier System Ensemble for Incremental Medical Instances. IWLCS 2005: 93-103 - [c38]Shuigeng Zhou, Yue Zhao, Jihong Guan, Joshua Zhexue Huang:
A Neighborhood-Based Clustering Algorithm. PAKDD 2005: 361-371 - [c37]Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang:
Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm. PAKDD 2005: 802-812 - [c36]Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang:
On the Performance of Feature Weighting K-Means for Text Subspace Clustering. WAIM 2005: 502-512 - 2004
- [j11]Joshua Zhexue Huang, Michael K. Ng, Edmond HaoCun Wu:
A data warehousing and data mining framework for web usage management. Commun. Inf. Syst. 4(4): 301-324 (2004) - [j10]Feilong Tang, Minglu Li, Joshua Zhexue Huang:
Real-time transaction processing for autonomic Grid applications. Eng. Appl. Artif. Intell. 17(7): 799-807 (2004) - [j9]Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng:
Mining class outliers: concepts, algorithms and applications in CRM. Expert Syst. Appl. 27(4): 681-697 (2004) - [j8]Elaine Y. Chan, Wai-Ki Ching, Michael K. Ng, Joshua Zhexue Huang:
An optimization algorithm for clustering using weighted dissimilarity measures. Pattern Recognit. 37(5): 943-952 (2004) - [j7]Hongbing Wang, Joshua Zhexue Huang, Yuzhong Qu, Junyuan Xie:
Web services: problems and future directions. J. Web Semant. 1(3): 309-320 (2004) - [c35]Yunming Ye, Fanyuan Ma, Yiming Lu, Matthew Chiu, Joshua Zhexue Huang:
iSurfer: A Focused Web Crawler Based on Incremental Learning from Positive Samples. APWeb 2004: 122-134 - [c34]Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang:
An Efficient Multidimensional Data Model for Web Usage Mining. APWeb 2004: 373-383 - [c33]Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Zhi-Hua Zhou:
Meta-game Equilibrium for Multi-agent Reinforcement Learning. Australian Conference on Artificial Intelligence 2004: 930-936 - [c32]Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang:
On Improving Website Connectivity by Using Web-Log Data Streams. DASFAA 2004: 352-364 - [c31]Lei Cao, Minglu Li, Henry Rong, Joshua Zhexue Huang:
An Ontology-Based Model for Grid Resource Publication and Discovery. GCC 2004: 448-455 - [c30]Xiaoling Wang, Kun Yue, Joshua Zhexue Huang, Aoying Zhou:
Service Selection in Dynamic Demand-Driven Web Services. ICWS 2004: 376-383 - [c29]Feilong Tang, Minglu Li, Joshua Zhexue Huang, Cho-Li Wang, Zongwei Luo:
Petri-Net-Based Coordination Algorithms for Grid Transactions. ISPA 2004: 499-508 - [c28]Liping Jing, Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong:
A Feature Weighting Approach to Building Classification Models by Interactive Clustering. MDAI 2004: 284-294 - [c27]Yunming Ye, Fanyuan Ma, Hongqiang Rong, Joshua Zhexue Huang:
Enhanced Email Classification Based on Feature Space Enriching. NLDB 2004: 299-311 - [c26]Feilong Tang, Minglu Li, Joshua Zhexue Huang, Lei Cao, Yi Wang:
A Real-Time Transaction Approach for Grid Services: A Model and Algorithms. NPC 2004: 57-64 - [c25]Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Michael K. Ng:
Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models. PAKDD 2004: 549-558 - [c24]Lei Cao, Minglu Li, Henry Rong, Joshua Zhexue Huang:
A Categorized-Registry Model for Grid Resource Publication and Discovery Using Software Agents. PDCAT 2004: 318-321 - [c23]Yunming Ye, Fanyuan Ma, Hongqiang Rong, Joshua Zhexue Huang:
Improved Email Classification through Enriched Feature Space. WAIM 2004: 489-498 - [c22]Cheqing Jin, Fang Xiong, Joshua Zhexue Huang, Jeffrey Xu Yu, Aoying Zhou:
Mining Frequent Items in Spatio-temporal Databases. WAIM 2004: 549-558 - [c21]Zengyou He, Joshua Zhexue Huang, Xiaofei Xu, Shengchun Deng:
Mining Class Outliers: Concepts, Algorithms and Applications. WAIM 2004: 589-599 - [c20]Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng:
A Frequent Pattern Discovery Method for Outlier Detection. WAIM 2004: 726-732 - [i1]Zengyou He, Xiaofei Xu, Shengchun Deng, Joshua Zhexue Huang:
Clustering Categorical Data Streams. CoRR abs/cs/0412058 (2004) - 2003
- [j6]Zhexue Huang, Michael K. Ng:
A Note on K-modes Clustering. J. Classif. 20(2): 257-261 (2003) - [j5]Ruimin Shen, Peng Han, Fan Yang, Qiang Yang, Joshua Zhexue Huang:
Data Mining and Case-Based Reasoning for Distance Learning. Int. J. Distance Educ. Technol. 1(3): 46-58 (2003) - [j4]Qiang Yang, Joshua Zhexue Huang, Michael K. Ng:
A Data Cube Model for Prediction-Based Web Prefetching. J. Intell. Inf. Syst. 20(1): 1-30 (2003) - [c19]Jie Yang, Joshua Zhexue Huang, Ning Zhang, Zhuoqun Xu:
C3: A New Learning Scheme to Improve Classification of Rare Category Emails. Australian Conference on Artificial Intelligence 2003: 747-758 - [c18]Jessica K. Ting, Michael K. Ng, Hongqiang Rong, Joshua Zhexue Huang:
Statistical models for time sequences data mining. CIFEr 2003: 347-354 - [c17]Yang Gao, Hongqiang Rong, Frank Tong, Zongwei Luo, Joshua Zhexue Huang:
Adaptive Job Scheduling for a Service Grid Using a Genetic Algorithm. GCC (2) 2003: 65-72 - [c16]Jieyue He, Hongqiang Rong, Zongwei Luo, Joshua Zhexue Huang, Frank Tong:
Uni-Grid P&T: A Toolkit for Building Customizable Grid Portals. ICWS-Europe 2003: 198-212 - 2002
- [c15]Ruimin Shen, Peng Han, Fan Yang, Qiang Yang, Joshua Zhexue Huang:
An Open Framework for Smart and Personalized Distance Learning. ICWL 2002: 19-30 - [c14]Michael K. Ng, Joshua Zhexue Huang:
M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining. PAKDD 2002: 224-236 - 2001
- [c13]Zhexue Huang, Michael K. Ng, David Wai-Lok Cheung:
An Empirical Study on the Visual Cluster Validation Method with Fastmap. DASFAA 2001: 84-91 - [c12]Joshua Zhexue Huang, Michael K. Ng, Wai-Ki Ching, Joe Ng, David Wai-Lok Cheung:
A Cube Model and Cluster Analysis for Web Access Sessions. WEBKDD 2001: 48-67 - [c11]Jeffrey Xu Yu, Michael K. Ng, Joshua Zhexue Huang:
Patterns Discovery Based on Time-Series Decomposition. PAKDD 2001: 336-347 - 2000
- [c10]Zhexue Huang, Michael K. Ng, Tao Lin, David Wai-Lok Cheung:
An Interactive Approach to Building Classification Models by Clustering and Cluster Validation. IDEAL 2000: 23-28 - [c9]Zhexue Huang, Tao Lin:
A Visual Method of Cluster Validation with Fastmap. PAKDD 2000: 153-164 - [c8]Hongxing He, Hari Koesmarno, Thach Van, Zhexue Huang:
Data Mining in Disease Management - A Diabetes Case Study. PRICAI 2000: 799
1990 – 1999
- 1999
- [j3]Michael K. Ng, Zhexue Huang:
Data-mining massive time series astronomical data: challenges, problems and solutions. Inf. Softw. Technol. 41(9): 545-556 (1999) - [j2]Zhexue Huang, Michael K. Ng:
A fuzzy k-modes algorithm for clustering categorical data. IEEE Trans. Fuzzy Syst. 7(4): 446-452 (1999) - 1998
- [j1]Zhexue Huang:
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values. Data Min. Knowl. Discov. 2(3): 283-304 (1998) - [c7]Michael K. Ng, Zhexue Huang, Markus Hegland:
Data-Mining Massive Time Series Astronomical Data Sets - A Case Study. PAKDD 1998: 401-402 - 1997
- [c6]Hongxing He, Zhexue Huang:
Boosting Neural Networks in Real Worls Applications: An Empirical Study. Australian Joint Conference on Artificial Intelligence 1997: 321-329 - [c5]Graham J. Williams, Zhexue Huang:
Mining the Knowledge Mine: The Hot Spots Methodology for Mining Large Real World Databases. Australian Joint Conference on Artificial Intelligence 1997: 340-348 - [c4]Zhexue Huang:
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining. DMKD 1997 - 1993
- [c3]Zhexue Huang, Per Svensson:
Neighborhood Query and Analysis with GeoSAL, a Spatial Database Language. SSD 1993: 413-436 - 1992
- [c2]Zhexue Huang, Per Svensson, Hans Hauska:
Solving Spatial Analysis Problems with GeoSAL, A Spatial Query Language. SSDBM 1992: 1-17 - 1991
- [c1]Per Svensson, Zhexue Huang:
Geo-SAL: A Query Language for Spatial Data Analysis. SSD 1991: 119-140
Coauthor Index
Yu-Lin He
aka: Yulin He
aka: Yulin He
[j139] [j137] [j135] [j131] [j130] [j129] [j128] [j127] [j126] [j122] [j120] [j117] [j115] [j113] [j112] [j111] [j109] [c118] [c115] [c114] [e9] [j104] [j102] [c113] [c112] [c110] [j94] [j93] [j91] [c108] [c107] [c106] [j85] [j80] [j78] [j77] [j72] [c102] [j69] [j68] [c95] [c93] [j56] [c91] [c89] [c86] [i2] [j49] [c84] [c81] [c79]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-20 22:57 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
