Joshua Zhexue Huang

275 papers A* 10A 4B 19C 10Misc 3Journal 155Unranked 64
YearRankTypeTitle / Venue / Authors
2026 J jnl
A survey of approximate big data computing with the random sample partition (RSP).
Int. J. Data Sci. Anal.
Salman Salloum, Kian-Lee Tan, Joshua Zhexue Huang
2026 J jnl
Approximate approach for frequent itemsets mining on massive distributed data beyond computing capacity.
Expert Syst. Appl.
Alladoumbaye Ngueilbaye, Sibagatullin Ratmir, Yongda Cai, Mohammad Sultan Mahmud, Xudong Sun, Andrey Nechesov, Sergey Goncharov, Joshua Zhexue Huang
2026 J jnl
Editorial: Special Issue on Recent Advances in Statistical Analytics Theories and Methods for Big Data.
Big Data Min. Anal.
Joshua Zhexue Huang, Yulin He, Ponnuthurai Nagaratnam Suganthan
2026 J jnl
FreqMLNet: Non-transformer network with frequency domain reconstruction and multi-scale representation for time series forecasting.
Neural Networks
Yulin He, Qiongbin Chen, Ruili Wang, Philippe Fournier-Viger, Joshua Zhexue Huang
2026 J jnl
Guest editorial: Mixture of experts and ensemble learning for big data.
Inf. Fusion
Mohammad Sultan Mahmud, Diego García-Gil, Joshua Zhexue Huang, Alladoumbaye Ngueilbaye, Xudong Sun
2025 — conf
A Fast and Accurate Block Compression Solution for Spatiotemporal Kernel Density Visualization.
KDD (2)
Yue Zhong, Tsz Nam Chan, Leong Hou U, Dingming Wu, Wei Tu, Ruisheng Wang, Joshua Zhexue Huang
2025 J jnl
A Novel Flexible Kernel Density Estimator for Multimodal Probability Density Functions.
CAAI Trans. Intell. Technol.
Jia-Qi Chen, Yu-Lin He, Yingchao Cheng, Philippe Fournier-Viger, Ponnuthurai Nagaratnam Suganthan, Joshua Zhexue Huang
2025 J jnl
A comprehensive multimodal benchmark of neuromorphic training frameworks for spiking neural networks.
Eng. Appl. Artif. Intell.
Yingchao Cheng, Wang-Xin Hu, Yu-Lin He, Joshua Zhexue Huang
2025 J jnl
A novel multi-source weighted naive Bayes classifier.
Inf. Sci.
Guiliang Ou, Yu-Lin He, Philippe Fournier-Viger, Joshua Zhexue Huang
2025 J jnl
Adaptive Frequency-Domain Feature Extraction With Large Language Models for Accurate Electricity Market Forecasting.
IEEE Trans. Consumer Electron.
Qiongbin Chen, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang
2025 J jnl
Attribute grouping-based naive Bayesian classifier.
Sci. China Inf. Sci.
Yulin He, Guiliang Ou, Philippe Fournier-Viger, Joshua Zhexue Huang
2025 J jnl
Determination of the Number of Clusters in High-Dimensional Data With Subspace Clusters.
IEEE Trans. Big Data
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Germán González-Almagro, Salvador García
2025 J jnl
Discriminative local affine-hull clustering for high-dimensional data.
Array
Yu-Feng Yu, Jiali Luo, Xuanyi Chen, Yingchao Cheng, Yulin He, Joshua Zhexue Huang
2025 J jnl
Graph-augmented contrastive clustering for time series data.
Knowl. Based Syst.
Qin Zhang, Zhuoluo Liang, Alladoumbaye Ngueilbaye, Han Liu, Hong Zhou, Joshua Zhexue Huang
2025 A* conf
OnlineHOI: Towards Online Human-Object Interaction Generation and Perception.
ACM Multimedia
Yihong Ji, Yunze Liu, Yiyao Zhuo, Weijiang Yu, Fei Ma, Joshua Zhexue Huang, Fei Yu
2025 J jnl
RSPCA: Random Sample Partition and Clustering Approximation for ensemble learning of big data.
Pattern Recognit.
Mohammad Sultan Mahmud, Hua Zheng, Diego García-Gil, Salvador García, Joshua Zhexue Huang
2025 J jnl
Relaxed naïve Bayesian classifier based on maximum dependent attribute groups.
Inf. Sci.
Guiliang Ou, Yu-Lin He, Yingchao Cheng, Joshua Zhexue Huang
2025 J jnl
Spectral ensemble clustering with doubly stochastic co-association matrix.
Inf. Sci.
Yongda Cai, Mohammad Sultan Mahmud, Jingsheng Xu, Xudong Sun, Joshua Zhexue Huang
2024 J jnl
A multiple kernel-based kernel density estimator for multimodal probability density functions.
Eng. Appl. Artif. Intell.
Jia-Qi Chen, Yu-Lin He, Yingchao Cheng, Philippe Fournier-Viger, Joshua Zhexue Huang
2024 J jnl
A novel and efficient risk minimisation-based missing value imputation algorithm.
Knowl. Based Syst.
Yu-Lin He, Jia-Yin Yu, Xu Li, Philippe Fournier-Viger, Joshua Zhexue Huang
2024 J jnl
A novel member enhancement-based clustering ensemble algorithm.
Concurr. Comput. Pract. Exp.
Yulin He, Jin Yang, Yingchao Cheng, Xueqin Du, Joshua Zhexue Huang
2024 J jnl
A novel overlapping minimization SMOTE algorithm for imbalanced classification.
Frontiers Inf. Technol. Electron. Eng.
Yulin He, Xuan Lu, Philippe Fournier-Viger, Joshua Zhexue Huang
2024 J jnl
A scalable and flexible basket analysis system for big transaction data in Spark.
Inf. Process. Manag.
Xudong Sun, Alladoumbaye Ngueilbaye, Kaijing Luo, Yongda Cai, Dingming Wu, Joshua Zhexue Huang
2024 J jnl
Adaptive Neighbors Graph Learning for Large-Scale Data Clustering using Vector Quantization and Self-Regularization.
Appl. Soft Comput.
Yongda Cai, Joshua Zhexue Huang, Alladoumbaye Ngueilbaye, Xudong Sun
2024 J jnl
An asset subset-constrained minimax optimization framework for online portfolio selection.
Expert Syst. Appl.
Jianfei Yin, Anyang Zhong, Xiaomian Xiao, Ruili Wang, Joshua Zhexue Huang
2024 J jnl
CDFRS: A scalable sampling approach for efficient big data analysis.
Inf. Process. Manag.
Yongda Cai, Dingming Wu, Xudong Sun, Siyue Wu, Jingsheng Xu, Joshua Zhexue Huang
2024 J jnl
Clustering approximation via a fusion of multiple random samples.
Inf. Fusion
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salvador García
2024 J jnl
Density estimation-based method to determine sample size for random sample partition of big data.
Frontiers Comput. Sci.
Yulin He, Jiaqi Chen, Jiaxing Shen, Philippe Fournier-Viger, Joshua Zhexue Huang
2024 J jnl
Non-MapReduce computing for intelligent big data analysis.
Eng. Appl. Artif. Intell.
Xudong Sun, Lingxiang Zhao, Jiaqi Chen, Yongda Cai, Dingming Wu, Joshua Zhexue Huang
2023 J jnl
A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets.
IEEE Trans. Artif. Intell.
Yulin He, Xuan Ye, De-Fa Huang, Philippe Fournier-Viger, Joshua Zhexue Huang
2023 J jnl
A novel correlation Gaussian process regression-based extreme learning machine.
Knowl. Inf. Syst.
Xuan Ye, Yulin He, Manjing Zhang, Philippe Fournier-Viger, Joshua Zhexue Huang
2023 J jnl
A novel observation points-based positive-unlabeled learning algorithm.
CAAI Trans. Intell. Technol.
Yulin He, Xu Li, Manjing Zhang, Philippe Fournier-Viger, Joshua Zhexue Huang, Salman Salloum
2023 J jnl
A review of optimization methods for computation offloading in edge computing networks.
Digit. Commun. Networks
Kuanishbay Sadatdiynov, Laizhong Cui, Lei Zhang, Joshua Zhexue Huang, Salman Salloum, Mohammad Sultan Mahmud
2023 J jnl
An ensemble method for estimating the number of clusters in a big data set using multiple random samples.
J. Big Data
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Rukhsana Ruby, Kaishun Wu
2023 J jnl
An intelligent hybrid method: Multi-objective optimization for MEC-enabled devices of IoE.
J. Parallel Distributed Comput.
Kuanishbay Sadatdiynov, Laizhong Cui, Lei Zhang, Joshua Zhexue Huang, Neal N. Xiong, Chengwen Luo
2023 J jnl
Approximate Clustering Ensemble Method for Big Data.
IEEE Trans. Big Data
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Rukhsana Ruby, Alladoumbaye Ngueilbaye, Kaishun Wu
2023 J jnl
Data quality model for assessing public COVID-19 big datasets.
J. Supercomput.
Alladoumbaye Ngueilbaye, Joshua Zhexue Huang, Mehak Khan, Hongzhi Wang
2023 A* conf
MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection (Extended abstract).
ICDE
Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang
2023 J jnl
Observation points classifier ensemble for high-dimensional imbalanced classification.
CAAI Trans. Intell. Technol.
Yulin He, Xu Li, Philippe Fournier-Viger, Joshua Zhexue Huang, Mianjie Li, Salman Salloum
2023 J jnl
Offloading dependent tasks in MEC-enabled IoT systems: A preference-based hybrid optimization method.
Peer Peer Netw. Appl.
Kuanishbay Sadatdiynov, Laizhong Cui, Joshua Zhexue Huang
2023 B conf
RSP-gcForest: A Distributed Deep Forest via Random Sample Partition.
IEEE Big Data
Mark Junjie Li, Wenzhu Cai, Yigang Lin, Sunjie Huang, Joshua Zhexue Huang, Patrick Xiaogang Peng
2023 J jnl
Random vector functional link network with subspace-based local connections.
Appl. Intell.
Yu-Lin He, Zhen-Hao Yuan, Joshua Zhexue Huang
2023 J jnl
Survey of Distributed Computing Frameworks for Supporting Big Data Analysis.
Big Data Min. Anal.
Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang
2023 J jnl
Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network.
IEEE Trans. Netw. Sci. Eng.
Yulin He, Xuan Ye, Laizhong Cui, Philippe Fournier-Viger, Chengwen Luo, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan
2022 B ed.
9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022
DSAA
Joshua Zhexue Huang, Yi Pan, Barbara Hammer, Muhammad Khurram Khan, Xing Xie, Laizhong Cui, Yulin He
2022 A* conf
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences.
ICDM
Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang
2022 — conf
A Novel Method to Create Synthetic Samples with Autoencoder Multi-layer Extreme Learning Machine.
DASFAA (Workshops)
Yulin He, Qihang Huang, Shengsheng Xu, Joshua Zhexue Huang
2022 J jnl
A new method to build the adaptive k-nearest neighbors similarity graph matrix for spectral clustering.
Neurocomputing
Yongda Cai, Joshua Zhexue Huang, Jianfei Yin
2022 J jnl
A novel dependency-oriented mixed-attribute data classification method.
Expert Syst. Appl.
Yu-Lin He, Guiliang Ou, Philippe Fournier-Viger, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan
2022 B conf
Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier.
IJCNN
Guiliang Ou, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang
2022 J jnl
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression.
ACM Trans. Intell. Syst. Technol.
Yulin He, Xuan Ye, Joshua Zhexue Huang, Philippe Fournier-Viger
2022 J jnl
Correction to: Recent advances in multiple criteria decision making techniques.
Int. J. Mach. Learn. Cybern.
Yulin He, Xizhao Wang, Joshua Zhexue Huang
2022 J jnl
Creating synthetic minority class samples based on autoencoder extreme learning machine.
Pattern Recognit.
Yu-Lin He, Shengsheng Xu, Joshua Zhexue Huang
2022 — conf
DenMG: Density-Based Member Generation for Ensemble Clustering.
ICPP Workshops
Xueqin Du, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang
2022 J jnl
Directly solving normalized cut for multi-view data.
Pattern Recognit.
Chen Wang, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang
2022 J jnl
HSGAN: Reducing mode collapse in GANs by the latent code distance of homogeneous samples.
Comput. Vis. Image Underst.
Simin Yu, Kuntian Zhang, Chuan Xiao, Joshua Zhexue Huang, Mark Junjie Li, Makoto Onizuka
2022 J jnl
MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection.
IEEE Trans. Knowl. Data Eng.
Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang
2022 A conf
Mobility-aware Seamless Virtual Function Migration in Deviceless Edge Computing Environments.
ICDCS
Yaodong Huang, Zelin Lin, Tingting Yao, Xiaojun Shang, Laizhong Cui, Joshua Zhexue Huang
2022 J jnl
Recent advances in multiple criteria decision making techniques.
Int. J. Mach. Learn. Cybern.
Yulin He, Xizhao Wang, Joshua Zhexue Huang
2022 J jnl
Wealth Flow Model: Online Portfolio Selection Based on Learning Wealth Flow Matrices.
ACM Trans. Knowl. Discov. Data
Jianfei Yin, Ruili Wang, Yeqing Guo, Yizhe Bai, Shunda Ju, Weili Liu, Joshua Zhexue Huang
2021 B conf
A Compressed Hidden Naive Bayesian Classifier.
IJCNN
Guiliang Ou, Yulin He, Joshua Zhexue Huang
2021 — conf
A Two-Stage Missing Value Imputation Method Based on Autoencoder Neural Network.
IEEE BigData
Jiayin Yu, Yulin He, Joshua Zhexue Huang
2021 J jnl
Adaptive discriminant analysis for semi-supervised feature selection.
Inf. Sci.
Weichan Zhong, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang
2021 J jnl
An effective content-based event recommendation model.
Multim. Tools Appl.
Thanh Trinh, Dingming Wu, Ruili Wang, Joshua Zhexue Huang
2021 B conf
BTGAN: Training GAN with Balanced Triplet Loss and Two-Branch Architecture.
IJCNN
Simin Yu, Kuntian Zhang, Chuan Xiao, Xianyu Bao, Joshua Zhexue Huang, Mark Junjie Li
2021 J jnl
Improved I-nice clustering algorithm based on density peaks mechanism.
Inf. Sci.
Yulin He, Yingyan Wu, Honglian Qin, Joshua Zhexue Huang, Yi Jin
2021 J jnl
Novel kernel density estimator based on ensemble unbiased cross-validation.
Inf. Sci.
Yu-Lin He, Xuan Ye, De-Fa Huang, Joshua Zhexue Huang, Jun-Hai Zhai
2021 Misc conf
RSP-Hist: Approximate Histograms for Big Data Exploration on Hadoop Clusters.
HiPC
Salman Salloum, Joshua Zhexue Huang
2021 — conf
Random Sample Partition-Based Clustering Ensemble Algorithm for Big Data.
IEEE BigData
Xueqin Du, Yulin He, Joshua Zhexue Huang
2021 J jnl
Selection of diverse features with a diverse regularization.
Pattern Recognit.
Weichan Zhong, Xiaojun Chen, Qingyao Wu, Min Yang, Joshua Zhexue Huang
2021 J jnl
Unsupervised Adaptation for High-Dimensional with Limited-Sample Data Classification Using Variational Autoencoder.
Comput. Informatics
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Xianghua Fu, Rukhsana Ruby, Kaishun Wu
2020 J jnl
A Robust k-Means Clustering Algorithm Based on Observation Point Mechanism.
Complex.
Xiaoliang Zhang, Yulin He, Yi Jin, Honglian Qin, Muhammad Azhar, Joshua Zhexue Huang
2020 J jnl
A hierarchical Gamma Mixture Model-based method for estimating the number of clusters in complex data.
Appl. Soft Comput.
Muhammad Azhar, Joshua Zhexue Huang, Md Abdul Masud, Mark Junjie Li, Laizhong Cui
2020 J jnl
A new approach to solve opinion dynamics on complex networks.
Expert Syst. Appl.
Wenting Wang, Yu-Lin He, Joshua Zhexue Huang, Liheng Ma
2020 J jnl
A survey of data partitioning and sampling methods to support big data analysis.
Big Data Min. Anal.
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salman Salloum, Tamer Z. Emara, Kuanishbay Sadatdiynov
2020 J jnl
Activeness and Loyalty Analysis in Event-Based Social Networks.
Entropy
Thanh Trinh, Dingming Wu, Joshua Zhexue Huang, Muhammad Azhar
2020 J jnl
An Asymptotic Statistical Learning Algorithm for Prediction of Key Trading Events.
IEEE Intell. Syst.
Jianfei Yin, Ruili Wang, Shunda Ju, Yizhe Bai, Joshua Zhexue Huang
2020 — conf
Attribute Bagging-Based Extreme Learning Machine.
ICA3PP (2)
Xuan Ye, Yulin He, Joshua Zhexue Huang
2020 — conf
Clustering Ensembles Based on Probability Density Function Estimation.
CSCloud/EdgeCom
Yingyan Wu, Yulin He, Joshua Zhexue Huang
2020 J jnl
Distributed Data Strategies to Support Large-Scale Data Analysis Across Geo-Distributed Data Centers.
IEEE Access
Tamer Z. Emara, Joshua Zhexue Huang
2020 J jnl
Enhanced Balanced Min Cut.
Int. J. Comput. Vis.
Xiaojun Chen, Weijun Hong, Feiping Nie, Joshua Zhexue Huang, Li Shen
2020 J jnl
LABIN: Balanced Min Cut for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst.
Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang
2020 — conf
Long and Short Term Risk Control for Online Portfolio Selection.
KSEM (2)
Yizhe Bai, Jianfei Yin, Shunda Ju, Zhao Chen, Joshua Zhexue Huang
2020 J jnl
Novel electricity pattern identification system based on improved I-nice algorithm.
Comput. Ind. Eng.
Yu-Lin He, Honglian Qin, Joshua Zhexue Huang, Yi Jin
2020 — conf
Observation Points-Based Particle Swarm Optimization Algorithm.
CSCloud/EdgeCom
Shengsheng Xu, Yulin He, Joshua Zhexue Huang
2020 J jnl
On quantum methods for machine learning problems part I: Quantum tools.
Big Data Min. Anal.
Farid M. Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu
2020 J jnl
On quantum methods for machine learning problems part II: Quantum classification algorithms.
Big Data Min. Anal.
Farid M. Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu
2020 J jnl
Variable Weighting in Fuzzy k-Means Clustering to Determine the Number of Clusters.
IEEE Trans. Knowl. Data Eng.
Imran Khan, Zongwei Luo, Joshua Zhexue Huang, Waseem Shahzad
2020 J jnl
Variational Autoencoder-Based Dimensionality Reduction for High-Dimensional Small-Sample Data Classification.
Int. J. Comput. Intell. Appl.
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Xianghua Fu
2019 J jnl
A Hierarchical Gamma Mixture Model-Based Method for Classification of High-Dimensional Data.
Entropy
Muhammad Azhar, Mark Junjie Li, Joshua Zhexue Huang
2019 — conf
A New Approach for Approximately Mining Frequent Itemsets.
DAMDID/RCDL
Timur Valiullin, Joshua Zhexue Huang, Jianfei Yin, Dingming Wu
2019 — conf
A New Location-Based Topic Model for Event Attendees Recommendation.
RIVF
Thanh Trinh, Ngoc-Tuan Nguyen, Dingming Wu, Joshua Zhexue Huang, Tamer Z. Emara
2019 A conf
A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters.
CIKM
Salman Salloum, Yinxu Wu, Joshua Zhexue Huang
2019 J jnl
A distributed data management system to support large-scale data analysis.
J. Syst. Softw.
Tamer Z. Emara, Joshua Zhexue Huang
2019 J jnl
A new kernel density estimator based on the minimum entropy of data set.
Inf. Sci.
Jie Jiang, Yu-Lin He, De-Xin Dai, Joshua Zhexue Huang
2019 J jnl
An Asymptotic Ensemble Learning Framework for Big Data Analysis.
IEEE Access
Salman Salloum, Joshua Zhexue Huang, Yulin He, Xiaojun Chen
2019 J jnl
C3C: A New Static Content-Based Three-Level Web Cache.
IEEE Access
Thanh Trinh, Dingming Wu, Joshua Zhexue Huang
2019 — conf
Efficiently Mining Maximal Diverse Frequent Itemsets.
DASFAA (2)
Dingming Wu, Dexin Luo, Christian S. Jensen, Joshua Zhexue Huang
2019 J jnl
Exploring and cleaning big data with random sample data blocks.
J. Big Data
Salman Salloum, Joshua Zhexue Huang, Yulin He
2019 J jnl
Generate pairwise constraints from unlabeled data for semi-supervised clustering.
Data Knowl. Eng.
Md Abdul Masud, Joshua Zhexue Huang, Ming Zhong, Xianghua Fu
2019 J jnl
Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems.
CoRR
Ahmed Bayoumy Zaki, Joshua Zhexue Huang, Kaishun Wu, Basem M. ElHalawany
2019 J jnl
Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things.
IEEE Internet Things J.
Laizhong Cui, Chong Xu, Shu Yang, Joshua Zhexue Huang, Jianqiang Li, Xizhao Wang, Zhong Ming, Nan Lu
2019 J jnl
Latent Feature Group Learning for High-Dimensional Data Clustering.
Inf.
Wenting Wang, Yulin He, Liheng Ma, Joshua Zhexue Huang
2019 B conf
Machine Learning Based Dynamic Cooperative Transmission Framework for IoUT Networks.
SECON
Ahmad A. Aziz El-Banna, Ahmed Bayoumy Zaki, Basem M. ElHalawany, Joshua Zhexue Huang, Kaishun Wu
2019 J jnl
Machine Learning-Based Multi-Layer Multi-Hop Transmission Scheme for Dense Networks.
IEEE Commun. Lett.
Ahmad A. Aziz El-Banna, Basem M. ElHalawany, Ahmed Bayoumy Zaki, Joshua Zhexue Huang, Kaishun Wu
2019 — conf
Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification.
PAKDD (Workshops)
Tinglin Huang, Yulin He, De-Xin Dai, Wenting Wang, Joshua Zhexue Huang
2019 J jnl
RRPlib: A spark library for representing HDFS blocks as a set of random sample data blocks.
Sci. Comput. Program.
Tamer Z. Emara, Joshua Zhexue Huang
2019 J jnl
Random Sample Partition: A Distributed Data Model for Big Data Analysis.
IEEE Trans. Ind. Informatics
Salman Salloum, Joshua Zhexue Huang, Yulin He
2019 J jnl
Semi-supervised Aspect-level Sentiment Classification Model based on Variational Autoencoder.
Knowl. Based Syst.
Xianghua Fu, Yanzhi Wei, Fan Xu, Ting Wang, Yu Lu, Jianqiang Li, Joshua Zhexue Huang
2019 J jnl
Subspace Weighting Co-Clustering of Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaojun Chen, Joshua Zhexue Huang, Qingyao Wu, Min Yang
2018 B conf
A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis.
CLOUD
Chenghao Wei, Salman Salloum, Tamer Z. Emara, Xiaoliang Zhang, Joshua Zhexue Huang, Yu-Lin He
2018 J jnl
A smart artificial bee colony algorithm with distance-fitness-based neighbor search and its application.
Future Gener. Comput. Syst.
Laizhong Cui, Kai Zhang, Genghui Li, Xizhao Wang, Shu Yang, Zhong Ming, Joshua Zhexue Huang, Nan Lu
2018 J jnl
An Algorithm for Clustering Categorical Data With Set-Valued Features.
IEEE Trans. Neural Networks Learn. Syst.
Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang, Xingwang Zhao, Yinfeng Meng, Kai Feng, Yuhua Qian
2018 J jnl
An efficient random forests algorithm for high dimensional data classification.
Adv. Data Anal. Classif.
Qiang Wang, Thanh-Tung Nguyen, Joshua Zhexue Huang, Thuy Thi Nguyen
2018 J jnl
CPLP: An algorithm for tracking the changes of power consumption patterns in load profile data over time.
Inf. Sci.
Imran Khan, Joshua Zhexue Huang, Zongwei Luo, Md Abdul Masud
2018 J jnl
Cluster Survival Model of Concept Drift in Load Profile Data.
IEEE Access
Md Abdul Masud, Joshua Zhexue Huang, Ming Zhong, Xianghua Fu
2018 J jnl
Determining the optimal temperature parameter for Softmax function in reinforcement learning.
Appl. Soft Comput.
Yu-Lin He, Xiaoliang Zhang, Wei Ao, Joshua Zhexue Huang
2018 Misc conf
High-Dimensional Limited-Sample Biomedical Data Classification Using Variational Autoencoder.
AusDM
Mohammad Sultan Mahmud, Xianghua Fu, Joshua Zhexue Huang, Md Abdul Masud
2018 J jnl
I-nice: A new approach for identifying the number of clusters and initial cluster centres.
Inf. Sci.
Md Abdul Masud, Joshua Zhexue Huang, Chenghao Wei, Jikui Wang, Imran Khan, Ming Zhong
2018 A conf
Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation.
SDM
Min Yang, Qiang Qu, Kai Lei, Jia Zhu, Zhou Zhao, Xiaojun Chen, Joshua Zhexue Huang
2018 J jnl
Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data.
IEEE Trans. Neural Networks Learn. Syst.
Xiaojun Chen, Guowen Yuan, Wenting Wang, Feiping Nie, Xiaojun Chang, Joshua Zhexue Huang
2018 — conf
Particle Swarm Optimization-Based Weighted-Nadaraya-Watson Estimator.
PAKDD (Workshops)
Jie Jiang, Yu-Lin He, Joshua Zhexue Huang
2018 J jnl
PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data.
IEEE Trans. Knowl. Data Eng.
Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Joshua Zhexue Huang
2018 J jnl
Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data.
Appl. Soft Comput.
Yu-Lin He, Chenghao Wei, Hao Long, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang
2018 C conf
Slice_OP: Selecting Initial Cluster Centers Using Observation Points.
ADMA
Md Abdul Masud, Joshua Zhexue Huang, Ming Zhong, Xianghua Fu, Mohammad Sultan Mahmud
2018 A* conf
Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut.
KDD
Xiaojun Chen, Weijun Hong, Feiping Nie, Dan He, Min Yang, Joshua Zhexue Huang
2018 J jnl
TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering.
Pattern Recognit.
Xiaojun Chen, Min Yang, Joshua Zhexue Huang, Zhong Ming
2018 J jnl
Weakly supervised topic sentiment joint model with word embeddings.
Knowl. Based Syst.
Xianghua Fu, Xudong Sun, Haiying Wu, Laizhong Cui, Joshua Zhexue Huang
2017 — conf
A New Static Web Caching Mechanism Based on Mutual Dependency Between Result Cache and Posting List Cache.
WISE (2)
Thanh Trinh, Dingming Wu, Joshua Zhexue Huang
2017 J jnl
A Random Sample Partition Data Model for Big Data Analysis.
CoRR
Salman Salloum, Yu-Lin He, Joshua Zhexue Huang, Xiaoliang Zhang, Tamer Z. Emara
2017 A* conf
A Self-Balanced Min-Cut Algorithm for Image Clustering.
ICCV
Xiaojun Chen, Joshua Zhexue Huang, Feiping Nie, Renjie Chen, Qingyao Wu
2017 J jnl
A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes.
Appl. Math. Comput.
Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang
2017 J jnl
Ensemble subspace clustering of text data using two-level features.
Int. J. Mach. Learn. Cybern.
He Zhao, Salman Salloum, Yeshou Cai, Joshua Zhexue Huang
2017 J jnl
Fuzziness based semi-supervised learning approach for intrusion detection system.
Inf. Sci.
Rana Aamir Raza Ashfaq, Xi-Zhao Wang, Joshua Zhexue Huang, Haider Abbas, Yu-Lin He
2017 — conf
I-Sampling: A New Block-Based Sampling Method for Large-Scale Dataset.
BigData Congress
Yu-Lin He, Joshua Zhexue Huang, Hao Long, Qiang Wang, Chenghao Wei
2017 — conf
Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation.
ICONIP (1)
Wei Ao, Yu-Lin He, Joshua Zhexue Huang, Yupeng He
2017 J jnl
Local PurTree Spectral Clustering for Massive Customer Transaction Data.
IEEE Intell. Syst.
Xiaojun Chen, Si Peng, Joshua Zhexue Huang, Feiping Nie, Yong Ming
2017 J jnl
Query ranking model for search engine query recommendation.
Int. J. Mach. Learn. Cybern.
Jianguo Wang, Joshua Zhexue Huang, Jiafeng Guo, Yanyan Lan
2017 A* conf
Scalable Normalized Cut with Improved Spectral Rotation.
IJCAI
Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, Min Yang
2017 — conf
Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems.
PAKDD (Workshops)
Hao Long, Yu-Lin He, Joshua Zhexue Huang, Qiang Wang
2017 A* conf
Semi-supervised Feature Selection via Rescaled Linear Regression.
IJCAI
Xiaojun Chen, Guowen Yuan, Feiping Nie, Joshua Zhexue Huang
2017 J jnl
k-mw-modes: An algorithm for clustering categorical matrix-object data.
Appl. Soft Comput.
Fuyuan Cao, Liqin Yu, Joshua Zhexue Huang, Jiye Liang
2016 — conf
A frequency-based gene selection method with random forests for gene data analysis.
RIVF
Thanh Trinh, Dingming Wu, Salman Salloum, Tung Nguyen, Joshua Zhexue Huang
2016 — ed.
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I
PAKDD
James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang
2016 — ed.
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II
PAKDD (2)
James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang
2016 J jnl
An incremental model on search engine query recommendation.
Neurocomputing
Jianguo Wang, Joshua Zhexue Huang, Dingming Wu, Jiafeng Guo, Yanyan Lan
2016 J jnl
Big data analytics on Apache Spark.
Int. J. Data Sci. Anal.
Salman Salloum, Ruslan Dautov, Xiaojun Chen, Patrick Xiaogang Peng, Joshua Zhexue Huang
2016 C conf
Empirical analysis of asymptotic ensemble learning for big data.
BDCAT
Salman Salloum, Joshua Zhexue Huang, Yu-Lin He
2016 J jnl
Fuzzy nonlinear regression analysis using a random weight network.
Inf. Sci.
Yu-Lin He, Xizhao Wang, Joshua Zhexue Huang
2016 — conf
Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification.
PAKDD Workshops
Yu-Lin He, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang, Xizhao Wang
2016 J jnl
Incremental density-based ensemble clustering over evolving data streams.
Neurocomputing
Imran Khan, Joshua Zhexue Huang, Kamen Ivanov
2016 J jnl
Learning distributed word representation with multi-contextual mixed embedding.
Knowl. Based Syst.
Jianqiang Li, Jing Li, Xianghua Fu, Md Abdul Masud, Joshua Zhexue Huang
2016 A* conf
PurTreeClust: A purchase tree clustering algorithm for large-scale customer transaction data.
ICDE
Xiaojun Chen, Joshua Zhexue Huang, Jun Luo
2016 J jnl
Segmentation of Factories on Electricity Consumption Behaviors Using Load Profile Data.
IEEE Access
Imran Khan, Joshua Zhexue Huang, Md Abdul Masud, Qingshan Jiang
2016 — conf
Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data.
PAISI
He Zhao, Xiaojun Chen, Thanh-Tung Nguyen, Joshua Zhexue Huang, Graham J. Williams, Hui Chen
2015 — conf
A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data.
PAKDD (2)
Thanh-Tung Nguyen, He Zhao, Joshua Zhexue Huang, Thuy Thi Nguyen, Mark Junjie Li
2015 J jnl
Dynamic non-parametric joint sentiment topic mixture model.
Knowl. Based Syst.
Xianghua Fu, Kun Yang, Joshua Zhexue Huang, Laizhong Cui
2015 J jnl
Editorial: Uncertainty in learning from big data.
Fuzzy Sets Syst.
Xizhao Wang, Joshua Zhexue Huang
2015 J jnl
Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests.
BMC Genom.
Thanh-Tung Nguyen, Joshua Zhexue Huang, Qingyao Wu, Thuy Thi Nguyen, Mark Junjie Li
2015 J jnl
Identifying and Analyzing Popular Phrases Multi-Dimensionally in Social Media Data.
Int. J. Data Warehous. Min.
Zhongying Zhao, Chao Li, Yong Zhang, Joshua Zhexue Huang, Jun Luo, Shengzhong Feng, Jianping Fan
2015 J jnl
Recommending high-utility search engine queries via a query-recommending model.
Neurocomputing
Jianguo Wang, Joshua Zhexue Huang, Jiafeng Guo, Yanyan Lan
2015 J jnl
Stratified feature sampling method for ensemble clustering of high dimensional data.
Pattern Recognit.
Liping Jing, Kuang Tian, Joshua Zhexue Huang
2015 J jnl
Two-level quantile regression forests for bias correction in range prediction.
Mach. Learn.
Thanh-Tung Nguyen, Joshua Zhexue Huang, Thuy Thi Nguyen
2015 — conf
Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models.
PAKDD (1)
Yu-Lin He, Joshua Zhexue Huang, Xizhao Wang, Rana Aamir Raza
2014 — ed.
2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014
ICDM Workshops
Zhi-Hua Zhou, Wei Wang, Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu
2014 A* ed.
2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014
ICDM
Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu
2014 — conf
A LDA Feature Grouping Method for Subspace Clustering of Text Data.
PAISI
Yeshou Cai, Xiaojun Chen, Patrick Xiaogang Peng, Joshua Zhexue Huang
2014 J jnl
A Novel Variable-order Markov Model for Clustering Categorical Sequences.
IEEE Trans. Knowl. Data Eng.
Tengke Xiong, Shengrui Wang, Qingshan Jiang, Joshua Zhexue Huang
2014 Misc conf
Bias-corrected Quantile Regression Forests for high-dimensional data.
ICMLC
Nguyen Thanh Tung, Joshua Zhexue Huang, Thuy Thi Nguyen, Imran Khan
2014 — conf
Ensemble Clustering of High Dimensional Data with FastMap Projection.
PAKDD Workshops
Imran Khan, Joshua Zhexue Huang, Nguyen Thanh Tung, Graham J. Williams
2014 — conf
Extensions to Quantile Regression Forests for Very High-Dimensional Data.
PAKDD (2)
Nguyen Thanh Tung, Joshua Zhexue Huang, Imran Khan, Mark Junjie Li, Graham J. Williams
2014 — conf
QRM: A Probabilistic Model for Search Engine Query Recommendation.
PAKDD Workshops
Jianguo Wang, Joshua Zhexue Huang
2014 J jnl
Trend analysis of categorical data streams with a concept change method.
Inf. Sci.
Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang
2013 — conf
A Concept-Drifting Detection Algorithm for Categorical Evolving Data.
PAKDD (2)
Fuyuan Cao, Joshua Zhexue Huang
2013 — conf
A cross cluster-based collaborative filtering method for recommendation.
ICIA
Ming Gao, Fuyuan Cao, Joshua Zhexue Huang
2013 B conf
A hybrid optimization method for acceleration of building linear classification models.
IJCNN
Junchao Lv, Qiang Wang, Joshua Zhexue Huang
2013 J jnl
An ensemble of decision cluster crotches for classification of high dimensional data.
Knowl. Based Syst.
Yan Li, Yunming Ye, Zhaocai Sun, Edward Hung, Joshua Zhexue Huang, Yueping Li
2013 J jnl
Post-processing strategies for improving local gene expression pattern analysis.
Int. J. Data Min. Bioinform.
Qiang Wang, Yunming Ye, Joshua Zhexue Huang, Shengzhong Feng
2013 J jnl
Privacy Preserving Distributed DBSCAN Clustering.
Trans. Data Priv.
Jinfei Liu, Li Xiong, Jun Luo, Joshua Zhexue Huang
2013 J jnl
Stratified sampling for feature subspace selection in random forests for high dimensional data.
Pattern Recognit.
Yunming Ye, Qingyao Wu, Joshua Zhexue Huang, Michael K. Ng, Xutao Li
2013 J jnl
TW-k-Means: Automated Two-Level Variable Weighting Clustering Algorithm for Multiview Data.
IEEE Trans. Knowl. Data Eng.
Xiaojun Chen, Xiaofei Xu, Joshua Zhexue Huang, Yunming Ye
2012 J jnl
A feature group weighting method for subspace clustering of high-dimensional data.
Pattern Recognit.
Xiaojun Chen, Yunming Ye, Xiaofei Xu, Joshua Zhexue Huang
2012 J jnl
Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces.
Int. J. Data Warehous. Min.
Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Qiang Wang, Yunming Ye
2012 — conf
Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data.
PAKDD (1)
Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Mark Junjie Li, Yunming Ye
2012 — conf
Multi-Layer Network for Influence Propagation over Microblog.
PAISI
Chao Li, Jun Luo, Joshua Zhexue Huang, Jianping Fan
2012 — ed.
New Frontiers in Applied Data Mining - PAKDD 2011 International Workshops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers
PAKDD Workshops
Longbing Cao, Joshua Zhexue Huang, James Bailey, Yun Sing Koh, Jun Luo
2012 — conf
Privacy preserving distributed DBSCAN clustering.
EDBT/ICDT Workshops
Jinfei Liu, Joshua Zhexue Huang, Jun Luo, Li Xiong
2012 — conf
Scalable Random Forests for Massive Data.
PAKDD (1)
Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng
2012 C conf
Scalable Subspace Logistic Regression Models for High Dimensional Data.
APWeb
Shuang Wang, Xiaojun Chen, Joshua Zhexue Huang, Shengzhong Feng
2012 J jnl
Topic oriented community detection through social objects and link analysis in social networks.
Knowl. Based Syst.
Zhongying Zhao, Shengzhong Feng, Qiang Wang, Joshua Zhexue Huang, Graham J. Williams, Jianping Fan
2012 J jnl
Using a Variable Weighting k-Means Method to Build a Decision Cluster Classification Model.
Int. J. Pattern Recognit. Artif. Intell.
Yan Li, Edward Hung, Korris Fu-Lai Chung, Joshua Zhexue Huang
2011 J jnl
A Heuristic Algorithm for the Inner-City Multi-Drop: Container Loading Problem.
Int. J. Oper. Res. Inf. Syst.
Li Pan, Sydney C. K. Chu, Guangyue Han, Joshua Zhexue Huang
2011 A* conf
A New Markov Model for Clustering Categorical Sequences.
ICDM
Tengke Xiong, Shengrui Wang, Qingshan Jiang, Joshua Zhexue Huang
2011 — ed.
Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I
PAKDD (1)
Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava
2011 — ed.
Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part II
PAKDD (2)
Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava
2011 J jnl
Clustering categorical data streams.
J. Comput. Methods Sci. Eng.
Zengyou He, Xiaofei Xu, Shengchun Deng, Joshua Zhexue Huang
2011 — conf
High-Order Co-clustering Text Data on Semantics-Based Representation Model.
PAKDD (1)
Liping Jing, Jiali Yun, Jian Yu, Joshua Zhexue Huang
2011 J jnl
Integrating constraints to support legally flexible business processes.
Inf. Syst. Frontiers
Yuqing Sun, Joshua Zhexue Huang, Xiangxu Meng
2011 J jnl
Margin-based ensemble classifier for protein fold recognition.
Expert Syst. Appl.
Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang, Joshua Zhexue Huang
2011 — conf
Order batching and picking in a synchronized zone order picking system.
IEEM
Li Pan, Joshua Zhexue Huang, Sydney C. K. Chu
2011 — conf
Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements.
ICDM Workshops
Jinfei Liu, Jun Luo, Joshua Zhexue Huang
2010 J jnl
A self-learning framework for services selection.
Int. J. Inf. Technol. Manag.
HongBing Wang, Yifei Wang, Joshua Zhexue Huang, Xun Xu
2010 — conf
CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform.
ADMA (2)
Zhiyong Zhong, Mark Junjie Li, Jin Chang, Le Zhou, Joshua Zhexue Huang, Shengzhong Feng
2010 B conf
Exploiting Word Cluster Information for Unsupervised Feature Selection.
PRICAI
Qingyao Wu, Yunming Ye, Michael K. Ng, Hanjing Su, Joshua Zhexue Huang
2010 — conf
Fuzzy soft subspace clustering method for gene co-expression network analysis.
BIBM Workshops
Qiang Wang, Yunming Ye, Joshua Zhexue Huang, Shengzhong Feng
2010 J jnl
Knowledge-based vector space model for text clustering.
Knowl. Inf. Syst.
Liping Jing, Michael K. Ng, Joshua Zhexue Huang
2010 — conf
Minimum Spanning Tree Based Classification Model for Massive Data with MapReduce Implementation.
ICDM Workshops
Jin Chang, Jun Luo, Joshua Zhexue Huang, Shengzhong Feng, Jianping Fan
2010 — conf
Mining Trajectory Corridors Using Fréchet Distance and Meshing Grids.
PAKDD (1)
Haohan Zhu, Jun Luo, Hang Yin, Xiaotao Zhou, Joshua Zhexue Huang, F. Benjamin Zhan
2009 — ch.
Clustering Categorical Data with k-Modes.
Encyclopedia of Data Warehousing and Mining
Joshua Zhexue Huang
2009 J jnl
SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters.
Int. J. Data Min. Model. Manag.
Liping Jing, Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang
2009 — ch.
Soft Subspace Clustering for High-Dimensional Data.
Encyclopedia of Data Warehousing and Mining
Liping Jing, Michael K. Ng, Joshua Zhexue Huang
2008 — conf
A Changing Window Approach to Exploring Gene Expression Patterns.
BIBM
Qiang Wang, Yunming Ye, Joshua Zhexue Huang
2008 J jnl
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters.
IEEE Trans. Knowl. Data Eng.
Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang
2008 — conf
Building a Decision Cluster Classification Model for High Dimensional Data by a Variable Weighting k-Means Method.
Australasian Conference on Artificial Intelligence
Yan Li, Edward Hung, Korris Fu-Lai Chung, Joshua Zhexue Huang
2008 J jnl
CNP-based Implementation of Service-oriented Workflow Mapping in SHGWMS.
World Wide Web
Lei Cao, Minglu Li, Jian Cao, Joshua Zhexue Huang
2008 J jnl
Feature Weighting Random Forest for Detection of Hidden Web Search Interfaces.
Int. J. Comput. Linguistics Chin. Lang. Process.
Yunming Ye, Hongbo Li, Xiaobai Deng, Joshua Zhexue Huang
2008 — conf
Fuzzy K-Means with Variable Weighting in High Dimensional Data Analysis.
WAIM
Qiang Wang, Yunming Ye, Joshua Zhexue Huang
2007 B conf
A New Initialization Method for Clustering Categorical Data.
PAKDD
Shu Wu, Qingshan Jiang, Joshua Zhexue Huang
2007 J jnl
Adaptive scheduling for shared window joins over data streams.
Frontiers Comput. Sci. China
Cheqing Jin, Aoying Zhou, Jeffrey Xu Yu, Joshua Zhexue Huang, Feng Cao
2007 J jnl
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data.
IEEE Trans. Knowl. Data Eng.
Liping Jing, Michael K. Ng, Joshua Zhexue Huang
2007 — ed.
Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers
PAKDD Workshops
Takashi Washio, Zhi-Hua Zhou, Joshua Zhexue Huang, Xiaohua Hu, Jinyan Li, Chao Xie, Jieyue He, Deqing Zou, Kuan-Ching Li, Mário M. Freire
2007 J jnl
Learning classifier system ensemble and compact rule set.
Connect. Sci.
Yang Gao, Joshua Zhexue Huang, Lei Wu
2007 J jnl
On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell.
Michael K. Ng, Mark Junjie Li, Joshua Zhexue Huang, Zengyou He
2007 — conf
PAKDD 2007 Industrial Track Workshop.
PAKDD Workshops
Joshua Zhexue Huang, Yunming Ye
2006 — ch.
A Case-Based Data Mining Platform.
Selected Papers from AusDM
Xingwen Wang, Joshua Zhexue Huang
2006 B conf
A Fast Greedy Algorithm for Outlier Mining.
PAKDD
Zengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang
2006 J jnl
Automatic Transaction Compensation for Reliable Grid Applications.
J. Comput. Sci. Technol.
Feilong Tang, Minglu Li, Joshua Zhexue Huang
2006 — conf
Clustering of SNP Data with Application to Genomics.
ICDM Workshops
Michael K. Ng, Mark Junjie Li, Sio Iong Ao, Pak Chung Sham, Yiu-ming Cheung, Joshua Zhexue Huang
2006 — conf
Ensemble Learning Classifier System and Compact Ruleset.
SEAL
Yang Gao, Lei Wu, Joshua Zhexue Huang
2006 J jnl
Improved Focused Web Crawling Based on Incremental Q-Learning.
Res. Comput. Sci.
Joshua Zhexue Huang, Xiaofei Xu, Yan Li, Yunming Ye
2006 B conf
Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering.
PAKDD
Yunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham J. Williams, Xiaofei Xu
2006 — conf
SLF4SS: Facilitating Flexible Services Selection.
IAT Workshops
HongBing Wang, Yifei Wang, Joshua Zhexue Huang, Xun Xu
2006 C conf
Supplier Categorization with
APWeb
Xingjun Zhang, Joshua Zhexue Huang, Depei Qian, Jun Xu, Liping Jing
2005 B conf
A Neighborhood-Based Clustering Algorithm.
PAKDD
Shuigeng Zhou, Yue Zhao, Jihong Guan, Joshua Zhexue Huang
2005 — conf
ADDI: an agent-based extension to UDDI for supply chain management.
CSCWD (1)
Mi Zhang, Zunping Cheng, Yongzun Zhao, Joshua Zhexue Huang, Yinsheng Li, Binyu Zang
2005 J jnl
Adaptive grid job scheduling with genetic algorithms.
Future Gener. Comput. Syst.
Yang Gao, Hongqiang Rong, Joshua Zhexue Huang
2005 J jnl
Automated Variable Weighting in k-Means Type Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong, Zichen Li
2005 J jnl
FP-outlier: Frequent pattern based outlier detection.
Comput. Sci. Inf. Syst.
Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng
2005 — conf
LCSE: Learning Classifier System Ensemble for Incremental Medical Instances.
IWLCS
Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu
2005 — conf
Learning classifier system ensemble for data mining.
GECCO Workshops
Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu
2005 — conf
On the Performance of Feature Weighting
WAIM
Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang
2005 — conf
Ontology-Based E-Catalog Matching for Integration of GDSN and EPCglobal Network.
ICEBE
Joshua Zhexue Huang, Feilong Tang, Yunming Ye, George Q. Huang, Minglu Li
2005 B conf
Subspace Clustering of Text Documents with Feature Weighting
PAKDD
Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang
2004 C conf
A Categorized-Registry Model for Grid Resource Publication and Discovery Using Software Agents.
PDCAT
Lei Cao, Minglu Li, Henry Rong, Joshua Zhexue Huang
2004 B conf
A Feature Weighting Approach to Building Classification Models by Interactive Clustering.
MDAI
Liping Jing, Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong
2004 — conf
A Frequent Pattern Discovery Method for Outlier Detection.
WAIM
Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng
2004 C conf
A Real-Time Transaction Approach for Grid Services: A Model and Algorithms.
NPC
Feilong Tang, Minglu Li, Joshua Zhexue Huang, Lei Cao, Yi Wang
2004 J jnl
A data warehousing and data mining framework for web usage management.
Commun. Inf. Syst.
Joshua Zhexue Huang, Michael K. Ng, Edmond HaoCun Wu
2004 C conf
An Efficient Multidimensional Data Model for Web Usage Mining.
APWeb
Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang
2004 — conf
An Ontology-Based Model for Grid Resource Publication and Discovery.
GCC
Lei Cao, Minglu Li, Henry Rong, Joshua Zhexue Huang
2004 J jnl
An optimization algorithm for clustering using weighted dissimilarity measures.
Pattern Recognit.
Elaine Y. Chan, Wai-Ki Ching, Michael K. Ng, Joshua Zhexue Huang
2004 J jnl
Clustering Categorical Data Streams
CoRR
Zengyou He, Xiaofei Xu, Shengchun Deng, Joshua Zhexue Huang
2004 C conf
Enhanced Email Classification Based on Feature Space Enriching.
NLDB
Yunming Ye, Fanyuan Ma, Hongqiang Rong, Joshua Zhexue Huang
2004 — conf
Improved Email Classification through Enriched Feature Space.
WAIM
Yunming Ye, Fanyuan Ma, Hongqiang Rong, Joshua Zhexue Huang
2004 — conf
Meta-game Equilibrium for Multi-agent Reinforcement Learning.
Australian Conference on Artificial Intelligence
Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Zhi-Hua Zhou
2004 — conf
Mining Class Outliers: Concepts, Algorithms and Applications.
WAIM
Zengyou He, Joshua Zhexue Huang, Xiaofei Xu, Shengchun Deng
2004 — conf
Mining Frequent Items in Spatio-temporal Databases.
WAIM
Cheqing Jin, Fang Xiong, Joshua Zhexue Huang, Jeffrey Xu Yu, Aoying Zhou
2004 J jnl
Mining class outliers: concepts, algorithms and applications in CRM.
Expert Syst. Appl.
Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng
2004 B conf
Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models.
PAKDD
Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Michael K. Ng
2004 B conf
On Improving Website Connectivity by Using Web-Log Data Streams.
DASFAA
Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang
2004 C conf
Petri-Net-Based Coordination Algorithms for Grid Transactions.
ISPA
Feilong Tang, Minglu Li, Joshua Zhexue Huang, Cho-Li Wang, Zongwei Luo
2004 J jnl
Real-time transaction processing for autonomic Grid applications.
Eng. Appl. Artif. Intell.
Feilong Tang, Minglu Li, Joshua Zhexue Huang
2004 A conf
Service Selection in Dynamic Demand-Driven Web Services.
ICWS
Xiaoling Wang, Kun Yue, Joshua Zhexue Huang, Aoying Zhou
2004 J jnl
Web services: problems and future directions.
J. Web Semant.
HongBing Wang, Joshua Zhexue Huang, Yuzhong Qu, Junyuan Xie
2004 C conf
iSurfer: A Focused Web Crawler Based on Incremental Learning from Positive Samples.
APWeb
Yunming Ye, Fanyuan Ma, Yiming Lu, Matthew Chiu, Joshua Zhexue Huang
2003 J jnl
A Data Cube Model for Prediction-Based Web Prefetching.
J. Intell. Inf. Syst.
Qiang Yang, Joshua Zhexue Huang, Michael K. Ng
2003 — conf
Adaptive Job Scheduling for a Service Grid Using a Genetic Algorithm.
GCC (2)
Yang Gao, Hongqiang Rong, Frank Tong, Zongwei Luo, Joshua Zhexue Huang
2003 — conf
C3: A New Learning Scheme to Improve Classification of Rare Category Emails.
Australian Conference on Artificial Intelligence
Jie Yang, Joshua Zhexue Huang, Ning Zhang, Zhuoqun Xu
2003 J jnl
Data Mining and Case-Based Reasoning for Distance Learning.
Int. J. Distance Educ. Technol.
Ruimin Shen, Peng Han, Fan Yang, Qiang Yang, Joshua Zhexue Huang
2003 — conf
Statistical models for time sequences data mining.
CIFEr
Jessica K. Ting, Michael K. Ng, Hongqiang Rong, Joshua Zhexue Huang
2003 — conf
Uni-Grid P&T: A Toolkit for Building Customizable Grid Portals.
ICWS-Europe
Jieyue He, Hongqiang Rong, Zongwei Luo, Joshua Zhexue Huang, Frank Tong
2002 — conf
An Open Framework for Smart and Personalized Distance Learning.
ICWL
Ruimin Shen, Peng Han, Fan Yang, Qiang Yang, Joshua Zhexue Huang
2002 B conf
M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining.
PAKDD
Michael K. Ng, Joshua Zhexue Huang
2001 — conf
A Cube Model and Cluster Analysis for Web Access Sessions.
WebKDD
Joshua Zhexue Huang, Michael K. Ng, Wai-Ki Ching, Joe Ng, David Wai-Lok Cheung
2001 B conf
Patterns Discovery Based on Time-Series Decomposition.
PAKDD
Jeffrey Xu Yu, Michael K. Ng, Joshua Zhexue Huang