| 2026 | ICDE | PLAN: Fast and Approximate Gaussian Kernel Density Visualization in Road Networks. | Tsz Nam Chan, Hongwei Ye, Bojian Zhu, Leong Hou U, Dingming Wu, Ruisheng Wang, Joshua Zhexue Huang |
| 2025 | KDD | A Fast and Accurate Block Compression Solution for Spatiotemporal Kernel Density Visualization. | Yue Zhong, Tsz Nam Chan, Leong Hou U, Dingming Wu, Wei Tu, Ruisheng Wang, Joshua Zhexue Huang |
| 2023 | ICDE | MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection (Extended abstract). | Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang |
| 2022 | DASFAA | A Novel Method to Create Synthetic Samples with Autoencoder Multi-layer Extreme Learning Machine. | Yulin He, Qihang Huang, Shengsheng Xu, Joshua Zhexue Huang |
| 2022 | ICDCS | Mobility-aware Seamless Virtual Function Migration in Deviceless Edge Computing Environments. | Yaodong Huang, Zelin Lin, Tingting Yao, Xiaojun Shang, Laizhong Cui, Joshua Zhexue Huang |
| 2022 | ICDM | A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. | Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang |
| 2022 | IJCNN | Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier. | Guiliang Ou, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang |
| 2021 | HiPC | RSP-Hist: Approximate Histograms for Big Data Exploration on Hadoop Clusters. | Salman Salloum, Joshua Zhexue Huang |
| 2021 | IJCNN | A Compressed Hidden Naive Bayesian Classifier. | Guiliang Ou, Yulin He, Joshua Zhexue Huang |
| 2021 | IJCNN | BTGAN: Training GAN with Balanced Triplet Loss and Two-Branch Architecture. | Simin Yu, Kuntian Zhang, Chuan Xiao, Xianyu Bao, Joshua Zhexue Huang, Mark Junjie Li |
| 2020 | ICA3PP | Attribute Bagging-Based Extreme Learning Machine. | Xuan Ye, Yulin He, Joshua Zhexue Huang |
| 2020 | KSEM | Long and Short Term Risk Control for Online Portfolio Selection. | Yizhe Bai, Jianfei Yin, Shunda Ju, Zhao Chen, Joshua Zhexue Huang |
| 2019 | CIKM | A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters. | Salman Salloum, Yinxu Wu, Joshua Zhexue Huang |
| 2019 | DASFAA | Efficiently Mining Maximal Diverse Frequent Itemsets. | Dingming Wu, Dexin Luo, Christian S. Jensen, Joshua Zhexue Huang |
| 2019 | PAKDD | Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification. | Tinglin Huang, Yulin He, De-Xin Dai, Wenting Wang, Joshua Zhexue Huang |
| 2019 | SECON | Machine Learning Based Dynamic Cooperative Transmission Framework for IoUT Networks. | Ahmad A. Aziz El-Banna, Ahmed Bayoumy Zaki, Basem M. ElHalawany, Joshua Zhexue Huang, Kaishun Wu |
| 2018 | ADMA | Slice_OP: Selecting Initial Cluster Centers Using Observation Points. | Md Abdul Masud, Joshua Zhexue Huang, Ming Zhong, Xianghua Fu, Mohammad Sultan Mahmud |
| 2018 | AusDM | High-Dimensional Limited-Sample Biomedical Data Classification Using Variational Autoencoder. | Mohammad Sultan Mahmud, Xianghua Fu, Joshua Zhexue Huang, Md Abdul Masud |
| 2018 | KDD | Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut. | Xiaojun Chen, Weijun Hong, Feiping Nie, Dan He, Min Yang, Joshua Zhexue Huang |
| 2018 | PAKDD | Particle Swarm Optimization-Based Weighted-Nadaraya-Watson Estimator. | Jie Jiang, Yu-Lin He, Joshua Zhexue Huang |
| 2018 | SDM | Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation. | Min Yang, Qiang Qu, Kai Lei, Jia Zhu, Zhou Zhao, Xiaojun Chen, Joshua Zhexue Huang |
| 2017 | BigData | I-Sampling: A New Block-Based Sampling Method for Large-Scale Dataset. | Yu-Lin He, Joshua Zhexue Huang, Hao Long, Qiang Wang, Chenghao Wei |
| 2017 | ICCV | A Self-Balanced Min-Cut Algorithm for Image Clustering. | Xiaojun Chen, Joshua Zhexue Huang, Feiping Nie, Renjie Chen, Qingyao Wu |
| 2017 | ICONIP | Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation. | Wei Ao, Yu-Lin He, Joshua Zhexue Huang, Yupeng He |
| 2017 | IJCAI | Scalable Normalized Cut with Improved Spectral Rotation. | Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, Min Yang |
| 2017 | IJCAI | Semi-supervised Feature Selection via Rescaled Linear Regression. | Xiaojun Chen, Guowen Yuan, Feiping Nie, Joshua Zhexue Huang |
| 2017 | PAKDD | Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems. | Hao Long, Yu-Lin He, Joshua Zhexue Huang, Qiang Wang |
| 2017 | WISE | A New Static Web Caching Mechanism Based on Mutual Dependency Between Result Cache and Posting List Cache. | Thanh Trinh, Dingming Wu, Joshua Zhexue Huang |
| 2016 | ICDE | PurTreeClust: A purchase tree clustering algorithm for large-scale customer transaction data. | Xiaojun Chen, Joshua Zhexue Huang, Jun Luo |
| 2016 | PAKDD | Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification. | Yu-Lin He, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang, Xizhao Wang |
| 2015 | PAKDD | Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models. | Yu-Lin He, Joshua Zhexue Huang, Xizhao Wang, Rana Aamir Raza |
| 2015 | PAKDD | A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data. | Thanh-Tung Nguyen, He Zhao, Joshua Zhexue Huang, Thuy Thi Nguyen, Mark Junjie Li |
| 2014 | ICMLC | Bias-corrected Quantile Regression Forests for high-dimensional data. | Nguyen Thanh Tung, Joshua Zhexue Huang, Thuy Thi Nguyen, Imran Khan |
| 2014 | PAKDD | Ensemble Clustering of High Dimensional Data with FastMap Projection. | Imran Khan, Joshua Zhexue Huang, Nguyen Thanh Tung, Graham J. Williams |
| 2014 | PAKDD | Extensions to Quantile Regression Forests for Very High-Dimensional Data. | Nguyen Thanh Tung, Joshua Zhexue Huang, Imran Khan, Mark Junjie Li, Graham J. Williams |
| 2014 | PAKDD | QRM: A Probabilistic Model for Search Engine Query Recommendation. | Jianguo Wang, Joshua Zhexue Huang |
| 2013 | IJCNN | A hybrid optimization method for acceleration of building linear classification models. | Junchao Lv, Qiang Wang, Joshua Zhexue Huang |
| 2013 | PAKDD | A Concept-Drifting Detection Algorithm for Categorical Evolving Data. | Fuyuan Cao, Joshua Zhexue Huang |
| 2012 | APWEB | Scalable Subspace Logistic Regression Models for High Dimensional Data. | Shuang Wang, Xiaojun Chen, Joshua Zhexue Huang, Shengzhong Feng |
| 2012 | EDBT | Privacy preserving distributed DBSCAN clustering. | Jinfei Liu, Joshua Zhexue Huang, Jun Luo, Li Xiong |
| 2012 | PAKDD | Scalable Random Forests for Massive Data. | Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng |
| 2012 | PAKDD | Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data. | Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Mark Junjie Li, Yunming Ye |
| 2011 | ICDM | Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements. | Jinfei Liu, Jun Luo, Joshua Zhexue Huang |
| 2011 | ICDM | A New Markov Model for Clustering Categorical Sequences. | Tengke Xiong, Shengrui Wang, Qingshan Jiang, Joshua Zhexue Huang |
| 2011 | PAKDD | High-Order Co-clustering Text Data on Semantics-Based Representation Model. | Liping Jing, Jiali Yun, Jian Yu, Joshua Zhexue Huang |
| 2010 | ADMA | CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform. | Zhiyong Zhong, Mark Junjie Li, Jin Chang, Le Zhou, Joshua Zhexue Huang, Shengzhong Feng |
| 2010 | ICDM | Minimum Spanning Tree Based Classification Model for Massive Data with MapReduce Implementation. | Jin Chang, Jun Luo, Joshua Zhexue Huang, Shengzhong Feng, Jianping Fan |
| 2010 | PAKDD | Mining Trajectory Corridors Using Frchet Distance and Meshing Grids. | Haohan Zhu, Jun Luo, Hang Yin, Xiaotao Zhou, Joshua Zhexue Huang, F. Benjamin Zhan |
| 2010 | PRICAI | Exploiting Word Cluster Information for Unsupervised Feature Selection. | Qingyao Wu, Yunming Ye, Michael K. Ng, Hanjing Su, Joshua Zhexue Huang |
| 2007 | PAKDD | PAKDD 2007 Industrial Track Workshop. | Joshua Zhexue Huang, Yunming Ye |
| 2007 | PAKDD | A New Initialization Method for Clustering Categorical Data. | Shu Wu, Qingshan Jiang, Joshua Zhexue Huang |
| 2006 | APWEB | Supplier Categorization with | Xingjun Zhang, Joshua Zhexue Huang, Depei Qian, Jun Xu, Liping Jing |
| 2006 | CICLING | Untitled record | Yunming Ye, Yan Li, Xiaofei Xu, Joshua Zhexue Huang, Xiaojun Chen |
| 2006 | ICDM | Clustering of SNP Data with Application to Genomics. | Michael K. Ng, Mark Junjie Li, Sio Iong Ao, Pak Chung Sham, Yiu-ming Cheung, Joshua Zhexue Huang |
| 2006 | PAKDD | A Fast Greedy Algorithm for Outlier Mining. | Zengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang |
| 2006 | PAKDD | Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering. | Yunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham J. Williams, Xiaofei Xu |
| 2005 | CSCWD | ADDI: an agent-based extension to UDDI for supply chain management. | Mi Zhang, Zunping Cheng, Yongzun Zhao, Joshua Zhexue Huang, Yinsheng Li, Binyu Zang |
| 2005 | GECCO | Learning classifier system ensemble for data mining. | Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu |
| 2005 | PAKDD | Subspace Clustering of Text Documents with Feature Weighting | Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang |
| 2005 | PAKDD | A Neighborhood-Based Clustering Algorithm. | Shuigeng Zhou, Yue Zhao, Jihong Guan, Joshua Zhexue Huang |
| 2004 | APWEB | An Efficient Multidimensional Data Model for Web Usage Mining. | Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang |
| 2004 | APWEB | iSurfer: A Focused Web Crawler Based on Incremental Learning from Positive Samples. | Yunming Ye, Fanyuan Ma, Yiming Lu, Matthew Chiu, Joshua Zhexue Huang |
| 2004 | DASFAA | On Improving Website Connectivity by Using Web-Log Data Streams. | Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang |
| 2004 | ICWS | Service Selection in Dynamic Demand-Driven Web Services. | Xiaoling Wang, Kun Yue, Joshua Zhexue Huang, Aoying Zhou |
| 2004 | ISPA | Petri-Net-Based Coordination Algorithms for Grid Transactions. | Feilong Tang, Minglu Li, Joshua Zhexue Huang, Cho-Li Wang, Zongwei Luo |
| 2004 | MDAI | A Feature Weighting Approach to Building Classification Models by Interactive Clustering. | Liping Jing, Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong |
| 2004 | NLDB | Enhanced Email Classification Based on Feature Space Enriching. | Yunming Ye, Fanyuan Ma, Hongqiang Rong, Joshua Zhexue Huang |
| 2004 | NPC | A Real-Time Transaction Approach for Grid Services: A Model and Algorithms. | Feilong Tang, Minglu Li, Joshua Zhexue Huang, Lei Cao, Yi Wang |
| 2004 | PAKDD | Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models. | Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Michael K. Ng |
| 2004 | PDCAT | A Categorized-Registry Model for Grid Resource Publication and Discovery Using Software Agents. | Lei Cao, Minglu Li, Henry Rong, Joshua Zhexue Huang |
| 2003 | ICWS | Uni-Grid P&T: A Toolkit for Building Customizable Grid Portals. | Jieyue He, Hongqiang Rong, Zongwei Luo, Joshua Zhexue Huang, Frank Tong |
| 2002 | PAKDD | M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining. | Michael K. Ng, Joshua Zhexue Huang |
| 2001 | KDD | A Cube Model and Cluster Analysis for Web Access Sessions. | Joshua Zhexue Huang, Michael K. Ng, Wai-Ki Ching, Joe Ng, David Wai-Lok Cheung |
| 2001 | PAKDD | Patterns Discovery Based on Time-Series Decomposition. | Jeffrey Xu Yu, Michael K. Ng, Joshua Zhexue Huang |