Joshua Zhexue Huang

Joshua Zhexue Huang's AcademicInfluence.com Rankings

Joshua Zhexue Huang

Computer Science

#6146

World Rank

#6480

Historical Rank

Data Mining

#135

World Rank

#135

Historical Rank

Machine Learning

#1899

World Rank

#1924

Historical Rank

Database

#3261

World Rank

#3397

Historical Rank

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Computer Science

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Joshua Zhexue Huang's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values (1998) (2368)
Automated variable weighting in k-means type clustering (2005) (726)
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining (1997) (629)
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data (2007) (585)
Fuzziness based semi-supervised learning approach for intrusion detection system (2017) (509)
A fuzzy k-modes algorithm for clustering categorical data (1999) (504)
Adaptive grid job scheduling with genetic algorithms (2005) (241)
An optimization algorithm for clustering using weighted dissimilarity measures (2004) (238)
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters (2008) (231)
Big data analytics on Apache Spark (2016) (209)
FP-outlier: Frequent pattern based outlier detection (2005) (200)
On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm (2007) (197)
Web services: problems and future directions (2004) (191)
Fuzzy nonlinear regression analysis using a random weight network (2016) (178)
TW-k-means: Automated two-level variable weighting clustering algorithm for multiview data (2013) (170)
Topic oriented community detection through social objects and link analysis in social networks (2012) (165)
Stratified sampling for feature subspace selection in random forests for high dimensional data (2013) (148)
A feature group weighting method for subspace clustering of high-dimensional data (2012) (133)
Advances in Knowledge Discovery and Data Mining (2016) (121)
A Fast Greedy Algorithm for Outlier Mining (2005) (111)
Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm (2005) (104)
A survey of data partitioning and sampling methods to support big data analysis (2020) (101)
Knowledge-based vector space model for text clustering (2010) (98)
Mining class outliers: concepts, algorithms and applications in CRM (2004) (95)
Ontology-based Distance Measure for Text Clustering (2006) (92)
Mining the Knowledge Mine: The Hot Spots Methodology for Mining Large Real World Databases (1997) (85)
Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things (2019) (84)
Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests (2015) (81)
Geo-SAL: A Query Language for Spatial Data Analysis (1991) (78)
Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces (2012) (76)
A Note on K-modes Clustering (2003) (69)
Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data (2015) (68)
I-nice: A new approach for identifying the number of clusters and initial cluster centres (2018) (66)
A Neighborhood-Based Clustering Algorithm (2005) (64)
Semi-supervised Feature Selection via Rescaled Linear Regression (2017) (62)
A Frequent Pattern Discovery Method for Outlier Detection (2004) (58)
Stratified feature sampling method for ensemble clustering of high dimensional data (2015) (58)
Semi-supervised Aspect-level Sentiment Classification Model based on Variational Autoencoder (2019) (55)
Incremental density-based ensemble clustering over evolving data streams (2016) (55)
A Data Cube Model for Prediction-Based Web Prefetching (2004) (53)
Learning distributed word representation with multi-contextual mixed embedding (2016) (50)
Data Mining and Case-Based Reasoning for Distance Learning (2003) (48)
Random Sample Partition: A Distributed Data Model for Big Data Analysis (2017) (47)
Margin-based ensemble classifier for protein fold recognition (2011) (46)
Classification of Cardiotocogram Data using Neural Network based Machine Learning Technique (2012) (45)
Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements (2011) (45)
Privacy preserving distributed DBSCAN clustering (2012) (43)
Real-time transaction processing for autonomic Grid applications (2004) (43)
Weighting Method for Feature Selection in K-Means (2007) (43)
Dynamic non-parametric joint sentiment topic mixture model (2015) (42)
Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers (2007) (38)
Editorial: Uncertainty in learning from big data (2015) (36)
Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut (2018) (35)
A New Initialization Method for Clustering Categorical Data (2007) (35)
A Cube Model for Web Access Sessions and Cluster Analysis (2001) (35)
wsrf: An R Package for Classification with Scalable Weighted Subspace Random Forests (2017) (35)
PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data (2018) (34)
Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data (2018) (34)
Scalable Normalized Cut with Improved Spectral Rotation (2017) (34)
A Text Clustering System based on k-means Type Subspace Clustering and Ontology (2008) (33)
Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data (2017) (33)
A Cube Model and Cluster Analysis for Web Access Sessions (2001) (32)
New Frontiers in Applied Data Mining (2011) (31)
Data-mining massive time series astronomical data: challenges, problems and solutions (1999) (31)
On quantum methods for machine learning problems part I: Quantum tools (2020) (29)
Service selection in dynamic demand-driven Web services (2004) (29)
A Self-Balanced Min-Cut Algorithm for Image Clustering (2017) (27)
Determining the optimal temperature parameter for Softmax function in reinforcement learning (2018) (27)
Weakly supervised topic sentiment joint model with word embeddings (2018) (26)
Two-level quantile regression forests for bias correction in range prediction (2015) (25)
Subspace Weighting Co-Clustering of Gene Expression Data (2019) (24)
Learning classifier system ensemble for data mining (2005) (23)
Mining Class Outliers: Concepts, Algorithms and Applications (2004) (23)
A smart artificial bee colony algorithm with distance-fitness-based neighbor search and its application (2018) (23)
An Algorithm for Clustering Categorical Data With Set-Valued Features (2018) (23)
Variable Weighting in Fuzzy k-Means Clustering to Determine the Number of Clusters (2020) (23)
Clustering Categorical Data with k-Modes (2009) (23)
Fuzzy K-Means with Variable Weighting in High Dimensional Data Analysis (2008) (22)
A Visual Method of Cluster Validation with Fastmap (2000) (22)
Mining Trajectory Corridors Using Fréchet Distance and Meshing Grids (2010) (22)
Data-Mining Massive Time Series Astronomical Data Sets - A Case Study (1998) (22)
An empirical study on the visual cluster validation method with Fastmap (2001) (22)
Segmentation of Factories on Electricity Consumption Behaviors Using Load Profile Data (2016) (21)
Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering (2006) (21)
An efficient random forests algorithm for high dimensional data classification (2018) (21)
Solving Spatial Analysis Problems with GeoSAL, A Spatial Query Language (1992) (20)
Recommending high-utility search engine queries via a query-recommending model (2015) (20)
Trend analysis of categorical data streams with a concept change method (2014) (19)
Feature Weighting Random Forest for Detection of Hidden Web Search Interfaces (2008) (19)
Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation (2018) (19)
An Open Framework for Smart and Personalized Distance Learning (2002) (19)
A Novel Variable-order Markov Model for Clustering Categorical Sequences (2014) (19)
Building a Decision Cluster Classification Model for High Dimensional Data by a Variable Weighting k-Means Method (2008) (17)
Scalable Random Forests for Massive Data (2012) (16)
Adaptive discriminant analysis for semi-supervised feature selection (2021) (16)
A Heuristic Algorithm for the Inner-City Multi-Drop: Container Loading Problem (2011) (16)
Exploring and cleaning big data with random sample data blocks (2019) (16)
A new kernel density estimator based on the minimum entropy of data set (2019) (15)
Enhanced Balanced Min Cut (2020) (15)
A New Markov Model for Clustering Categorical Sequences (2011) (15)
An Asymptotic Ensemble Learning Framework for Big Data Analysis (2019) (14)
Patterns Discovery Based on Time-Series Decomposition (2001) (14)
iSurfer: A Focused Web Crawler Based on Incremental Learning from Positive Samples (2004) (14)
An Interactive Approach to Building Classification Models by Clustering and Cluster Validation (2000) (14)
A distributed data management system to support large-scale data analysis (2019) (14)
A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes (2017) (14)
On the Performance of Feature Weighting K-Means for Text Subspace Clustering (2005) (14)
A review of optimization methods for computation offloading in edge computing networks (2022) (13)
PurTreeClust: A purchase tree clustering algorithm for large-scale customer transaction data (2016) (13)
A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis (2018) (13)
Clustering categorical data streams (2004) (13)
On quantum methods for machine learning problems part II: Quantum classification algorithms (2020) (13)
Ensemble Clustering of High Dimensional Data with FastMap Projection (2014) (13)
Extensions to Quantile Regression Forests for Very High-Dimensional Data (2014) (12)
LABIN: Balanced Min Cut for Large-Scale Data (2020) (12)
High-Order Co-clustering Text Data on Semantics-Based Representation Model (2011) (12)
Learning classifier system ensemble and compact rule set (2007) (12)
Variational Autoencoder-Based Dimensionality Reduction for High-Dimensional Small-Sample Data Classification (2020) (12)
Generative neural network based spectrum sharing using linear sum assignment problems (2019) (12)
Automatic Transaction Compensation for Reliable Grid Applications (2006) (12)
Distributed Data Strategies to Support Large-Scale Data Analysis Across Geo-Distributed Data Centers (2020) (11)
Local PurTree Spectral Clustering for Massive Customer Transaction Data (2017) (11)
Machine Learning Based Dynamic Cooperative Transmission Framework for IoUT Networks (2019) (11)
On Improving Website Connectivity by Using Web-Log Data Streams (2004) (11)
Multi-Layer Network for Influence Propagation over Microblog (2012) (11)
Generate pairwise constraints from unlabeled data for semi-supervised clustering (2019) (11)
Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data (2012) (11)
TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering (2018) (11)
Query ranking model for search engine query recommendation (2017) (11)
A Robust k-Means Clustering Algorithm Based on Observation Point Mechanism (2020) (10)
Neighborhood Query and Analysis with GeoSAL, a Spatial Database Language (1993) (10)
A data warehousing and data mining framework for web usage management (2004) (10)
Integrating constraints to support legally flexible business processes (2011) (10)
Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data (2016) (10)
LCSE: Learning Classifier System Ensemble for Incremental Medical Instances (2005) (9)
Minimum Spanning Tree Based Classification Model for Massive Data with MapReduce Implementation (2010) (9)
Supplier Categorization with K-Means Type Subspace Clustering (2006) (9)
A Concept-Drifting Detection Algorithm for Categorical Evolving Data (2013) (9)
Empirical Analysis of Asymptotic Ensemble Learning for Big Data (2016) (9)
k-mw-modes: An algorithm for clustering categorical matrix-object data (2017) (9)
Ensemble subspace clustering of text data using two-level features (2017) (8)
Machine Learning-Based Multi-Layer Multi-Hop Transmission Scheme for Dense Networks (2019) (8)
Bias-corrected Quantile Regression Forests for high-dimensional data (2014) (8)
CPLP: An algorithm for tracking the changes of power consumption patterns in load profile data over time (2018) (8)
A New Location-Based Topic Model for Event Attendees Recommendation (2019) (8)
Order batching and picking in a synchronized zone order picking system (2011) (8)
SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters (2009) (8)
Identifying and Analyzing Popular Phrases Multi-Dimensionally in Social Media Data (2015) (8)
EAN: Event Attention Network for Stock Price Trend Prediction based on Sentimental Embedding (2019) (8)
Adaptive Job Scheduling for a Service Grid Using a Genetic Algorithm (2003) (7)
Improved I-nice clustering algorithm based on density peaks mechanism (2021) (7)
A hierarchical Gamma Mixture Model-based method for estimating the number of clusters in complex data (2020) (7)
Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models (2004) (7)
Ontology-based e-catalog matching for integration of GDSN and EPCglobal network (2005) (7)
A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data (2015) (7)
Ensemble Learning Classifier System and Compact Ruleset (2006) (6)
An incremental model on search engine query recommendation (2016) (6)
Clustering of SNP Data with Application to Genomics (2006) (6)
High-Dimensional Limited-Sample Biomedical Data Classification Using Variational Autoencoder (2018) (6)
Batch-Mode Active Learning with Semi-supervised Cluster Tree for Text Classification (2012) (6)
Exploiting Word Cluster Information for Unsupervised Feature Selection (2010) (6)
Learning Time-based Rules for Prediction of Alarms from Telecom Alarm Data Using Ant Colony Optimization (2014) (6)
CNP-based Implementation of Service-oriented Workflow Mapping in SHGWMS (2008) (6)
An effective content-based event recommendation model (2020) (5)
A Feature Weighting Approach to Building Classification Models by Interactive Clustering (2004) (5)
New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops (2012) (5)
C3C: A New Static Content-Based Three-Level Web Cache (2019) (5)
MMCo-Clus – An Evolutionary Co-clustering Algorithm for Gene Selection (2022) (5)
Cluster Survival Model of Concept Drift in Load Profile Data (2018) (5)
ADDI: an agent-based extension to UDDI for supply chain management (2005) (5)
Meta-game Equilibrium for Multi-agent Reinforcement Learning (2004) (5)
Novel kernel density estimator based on ensemble unbiased cross-validation (2021) (5)
M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining (2002) (5)
Hybrid weighted random forests for classifying very high-dimensional data (2012) (5)
Statistical models for time sequences data mining (2003) (5)
Novel electricity pattern identification system based on improved I-nice algorithm (2020) (4)
Recommending High Utility Queries via Query-Reformulation Graph (2015) (4)
HSGAN: Reducing mode collapse in GANs by the latent code distance of homogeneous samples (2021) (4)
Advances in Knowledge Discovery and Data Mining (2016) (4)
Recent advances in multiple criteria decision making techniques (2016) (4)
RRPlib: A spark library for representing HDFS blocks as a set of random sample data blocks (2019) (4)
Hierarchical Information-Theoretic Co-clustering for High Dimensional Data (2011) (4)
Data Mining in Disease Management - A Diabetes Case Study (2000) (4)
Mining Frequent Items in Spatio-temporal Databases (2004) (4)
A LDA Feature Grouping Method for Subspace Clustering of Text Data (2014) (4)
Activeness and Loyalty Analysis in Event-Based Social Networks (2020) (4)
Using a Variable Weighting k-Means Method to Build a Decision Cluster Classification Model (2012) (4)
I-Sampling: A New Block-Based Sampling Method for Large-Scale Dataset (2017) (4)
Creating synthetic minority class samples based on autoencoder extreme learning machine (4)
Scalable Subspace Logistic Regression Models for High Dimensional Data (2012) (4)
An Efficient Multidimensional Data Model for Web Usage Mining (2004) (3)
Soft Subspace Clustering for High-Dimensional Data (2009) (3)
A cross cluster-based collaborative filtering method for recommendation (2013) (3)
A new method to build the adaptive k-nearest neighbors similarity graph matrix for spectral clustering (2022) (3)
Weighted k-Means Clustering (2015) (3)
Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II (2011) (3)
A new approach to solve opinion dynamics on complex networks (2020) (3)
An Ontology-Based Model for Grid Resource Publication and Discovery (2004) (3)
Improved Email Classification through Enriched Feature Space (2004) (3)
An Asymptotic Statistical Learning Algorithm for Prediction of Key Trading Events (2020) (3)
Slice_OP: Selecting Initial Cluster Centers Using Observation Points (2018) (3)
Enhanced Email Classification Based on Feature Space Enriching (2004) (3)
Petri-Net-Based Coordination Algorithms for Grid Transactions (2004) (3)
QRM: A Probabilistic Model for Search Engine Query Recommendation (2014) (3)
Proceedings, Part II, of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining - Volume 9652 (2016) (3)
Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part II (2011) (3)
An ensemble of decision cluster crotches for classification of high dimensional data (2013) (3)
Efficiently Mining Maximal Diverse Frequent Itemsets (2019) (2)
A Novel Mixed-Attribute Fusion-Based Naive Bayesian Classifier (2022) (2)
Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification (2016) (2)
A Case-Based Data Mining Platform (2006) (2)
Latent Feature Group Learning for High-Dimensional Data Clustering (2019) (2)
Random Sample Partition-Based Clustering Ensemble Algorithm for Big Data (2021) (2)
A new approximate method for mining frequent itemsets from big data (2021) (2)
A novel dependency-oriented mixed-attribute data classification method (2022) (2)
Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests (2015) (2)
A frequency-based gene selection method with random forests for gene data analysis (2016) (2)
Long and Short Term Risk Control for Online Portfolio Selection (2020) (2)
Attribute Bagging-Based Extreme Learning Machine (2020) (1)
A Changing Window Approach to Exploring Gene Expression Patterns (2008) (1)
A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters (2019) (1)
Selection of diverse features with a diverse regularization (2021) (1)
CLUSTERING AND CLUSTER VALIDATION IN DATA MINING (2003) (1)
Recent advances in multiple criteria decision making techniques (2016) (1)
Directly solving normalized cut for multi-view data (2022) (1)
Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models (2015) (1)
Adaptive scheduling for shared window joins over data streams (2007) (1)
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression (2022) (1)
Post-processing strategies for improving local gene expression pattern analysis (2013) (1)
Uni-Grid P&T: A Toolkit for Building Customizable Grid Portals (2003) (1)
A Hierarchical Gamma Mixture Model-Based Method for Classification of High-Dimensional Data (2019) (1)
MFCRank: A Web Ranking Algorithm Based on Correlation of Multiple Features (2006) (1)
RSP-Hist: Approximate Histograms for Big Data Exploration on Hadoop Clusters (2021) (1)
Survey of Distributed Computing Frameworks for Supporting Big Data Analysis (2023) (1)
A Novel Method to Create Synthetic Samples with Autoencoder Multi-layer Extreme Learning Machine (2022) (1)
Weighted k-Means Clustering [R package wskm version 1.4.40] (2020) (1)
A Real-Time Transaction Approach for Grid Services: A Model and Algorithms (2004) (1)
Boosting Neural Networks in Real Worls Applications: An Empirical Study (1997) (1)
Unsupervised Adaptation for High-Dimensional with Limited-Sample Data Classification Using Variational Autoencoder (2021) (1)
Wealth Flow Model: Online Portfolio Selection Based on Learning Wealth Flow Matrices (2021) (1)
Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification (2019) (1)
Clustering Ensembles Based on Probability Density Function Estimation (2020) (1)
A Graphical Workflow Modeler for Docking Process in Drug Discovery (2009) (1)
BTGAN: Training GAN with Balanced Triplet Loss and Two-Branch Architecture (2021) (1)
FastMap in dimensionality reduction: ensemble clustering of high dimensional data (2017) (1)
FINC: An Efficient and Effective Optimization Method for Normalized Cut (2022) (0)
SLF4SS: Facilitating Flexible Services Selection (2006) (0)
Title Statistical models for time sequences data mining (2008) (0)
PAKDD 2007 Industrial Track Workshop (2007) (0)
A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets (2023) (0)
Approximate Clustering Ensemble Method for Big Data (2023) (0)
Observation Points-Based Particle Swarm Optimization Algorithm (2020) (0)
An effective content-based event recommendation model (2020) (0)
Exploring and cleaning big data with random sample data blocks (2019) (0)
Two-level quantile regression forests for bias correction in range prediction (2014) (0)
A Compressed Hidden Naive Bayesian Classifier (2021) (0)
Query ranking model for search engine query recommendation (2015) (0)
Propagation over Microblog (2012) (0)
Ensemble subspace clustering of text data using two-level features (2016) (0)
A Microscopic Study on Group Dynamics of the Tencent-Microblogs (2012) (0)
A Two-Stage Missing Value Imputation Method Based on Autoencoder Neural Network (2021) (0)
Random vector functional link network with subspace-based local connections (2022) (0)
Creating and Using Automated Profile Matching Technology (1997) (0)
A novel observation points‐based positive‐unlabeled learning algorithm (2023) (0)
Correction to: Recent advances in multiple criteria decision making techniques (2021) (0)
Offloading dependent tasks in MEC-enabled IoT systems: A preference-based hybrid optimization method (2022) (0)
A Categorized-Registry Model for Grid Resource Publication and Discovery Using Software Agents (2004) (0)
Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining (2007) (0)
Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network (2023) (0)
Observation points classifier ensemble for high‐dimensional imbalanced classification (2022) (0)
A hybrid optimization method for acceleration of building linear classification models (2013) (0)
Big data analytics on Apache Spark (2016) (0)
DenMG: Density-Based Member Generation for Ensemble Clustering (2022) (0)
Proceedings of the 15th international conference on New Frontiers in Applied Data Mining (2011) (0)
Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier (2022) (0)
Correction to: Recent advances in multiple criteria decision making techniques (2021) (0)
An intelligent hybrid method: Multi-objective optimization for MEC-enabled devices of IoE (2022) (0)
A self-learning framework for services selection (2010) (0)
Improved Focused Web Crawling Based on Incremental Q-Learning (2006) (0)
Recommending High Utility Queries via Query-Reformulation (2015) (0)
Weighted Subspace Random Forest for Classification [R package wsrf version 1.7.17] (2017) (0)
Enhanced Balanced Min Cut (2020) (0)
A novel correlation Gaussian process regression-based extreme learning machine (2023) (0)
An efficient random forests algorithm for high dimensional data classification (2018) (0)
C3: A New Learning Scheme to Improve Classification of Rare Category Emails (2003) (0)
An ensemble method for estimating the number of clusters in a big data set using multiple random samples (2023) (0)
Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation (2017) (0)
Mobility-aware Seamless Virtual Function Migration in Deviceless Edge Computing Environments (2022) (0)
Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems (2017) (0)
High-Resolution Satellite Imagery Changes Detection using Agglomerative Fuzzy K-Means Clustering Algorithm (2019) (0)
CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform (2010) (0)
A New Approach for Approximately Mining Frequent Itemsets (2019) (0)
Particle Swarm Optimization-Based Weighted-Nadaraya-Watson Estimator (2018) (0)
A New Static Web Caching Mechanism Based on Mutual Dependency Between Result Cache and Posting List Cache (2017) (0)
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences (2022) (0)
Multi-view Subspace Clustering for High-dimensional Data (2011) (0)

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What Schools Are Affiliated With Joshua Zhexue Huang?

Joshua Zhexue Huang is affiliated with the following schools:

University of Hong Kong
Shenzhen University

Joshua Zhexue Huang's Academic­Influence.com Rankings

Why Is Joshua Zhexue Huang Influential?

Joshua Zhexue Huang's Published Works

Published Works

What Schools Are Affiliated With Joshua Zhexue Huang?

Joshua Zhexue Huang's AcademicInfluence.com Rankings