Peng Zhang

Orcid: 0000-0002-0994-2382

Affiliations:
  • Guangzhou University, Cyberspace Institute of Advanced Technology, China
  • University of Technology Sydney, Research Center on Quantum Computation and Intelligent Systems, Sydney, Australia (former)
  • Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (former)
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (former)
  • Chinese Academy of Sciences, Research Center on Fictitious Economy & Data Science, Beijing, China (former)
  • Graduate University of Chinese Academy of Sciences, Beijing, China (PhD 2009)


According to our database1, Peng Zhang authored at least 195 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
A data-centric framework of improving graph neural networks for knowledge graph embedding.
World Wide Web (WWW), January, 2025

2024
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

The Spatio-Temporal Variation of Vegetation and Its Driving Factors during the Recent 20 Years in Beijing.
Remote. Sens., March, 2024

Open-world structured sequence learning via dense target encoding.
Inf. Sci., 2024

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding.
CoRR, 2024

Decision-focused Graph Neural Networks for Combinatorial Optimization.
CoRR, 2024

Combinatorial Optimization with Automated Graph Neural Networks.
CoRR, 2024

P-I2Prange: An Automatic Construction Architecture for Scenarios in I2P Ranges.
Proceedings of the International Joint Conference on Neural Networks, 2024

Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services.
Proceedings of the IEEE International Conference on Web Services, 2024

Neural Jump-Diffusion Temporal Point Processes.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Meta Structure Search for Link Weight Prediction in Heterogeneous Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction.
Proceedings of the Database and Expert Systems Applications, 2024

2023
Ethereum fraud behavior detection based on graph neural networks.
Computing, October, 2023

HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., September, 2023

Federated learning with ℓ1 regularization.
Pattern Recognit. Lett., August, 2023

GraphNAS++: Distributed Architecture Search for Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., July, 2023

Training Compact DNNs with ℓ1/2 Regularization.
Pattern Recognit., April, 2023

Thick Cloud Removal in Multi-Temporal Remote Sensing Images via Frequency Spectrum-Modulated Tensor Completion.
Remote. Sens., March, 2023

Heterogeneous Graph Neural Architecture Search with GPT-4.
CoRR, 2023

Graph Neural Architecture Search with GPT-4.
CoRR, 2023

Multi-Aspect Heterogeneous Graph Augmentation.
Proceedings of the ACM Web Conference 2023, 2023

CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing.
Proceedings of the ACM Web Conference 2023, 2023

Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences.
Proceedings of the IEEE International Conference on Data Mining, 2023

Decision-focused Graph Neural Networks for Graph Learning and Optimization.
Proceedings of the IEEE International Conference on Data Mining, 2023

GIPA: A General Information Propagation Algorithm for Graph Learning.
Proceedings of the Database Systems for Advanced Applications, 2023

Multivariate Time Series Anomaly Detection with Fourier Time Series Transformer.
Proceedings of the 12th IEEE International Conference on Cloud Networking, 2023

2022
Discrete embedding for attributed graphs.
Pattern Recognit., 2022

HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks.
Inf. Sci., 2022

An Adaptive Unified Allocation Framework for Guaranteed Display Advertising.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Structure-Aware Reasoning for Knowledge Base Question Answering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences.
Proceedings of the IEEE International Conference on Data Mining, 2022

Syntax-Based Graph Matching for Knowledge Base Question Answering.
Proceedings of the IEEE International Conference on Acoustics, 2022

Learning Common Dependency Structure for Unsupervised Cross-Domain Ner.
Proceedings of the IEEE International Conference on Acoustics, 2022

Anomaly Detection from Log Data Sequences with Perturbations.
Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022

2021
TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents.
ACM Trans. Intell. Syst. Technol., 2021

Anomaly detection in dynamic attributed networks.
Neural Comput. Appl., 2021

Towards embedding information diffusion data for understanding big dynamic networks.
Neurocomputing, 2021

What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline.
Proceedings of the Companion of The Web Conference 2021, 2021

TTNet: Tabular Transfer Network for Few-samples Prediction.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Path-based Deep Network for Candidate Item Matching in Recommenders.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences.
Proceedings of the IEEE International Conference on Data Mining, 2021

Heterogeneous Graph Neural Architecture Search.
Proceedings of the IEEE International Conference on Data Mining, 2021

Graph Neural Network for Ethereum Fraud Detection.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Improving Cross-Domain Slot Filling with Common Syntactic Structure.
Proceedings of the IEEE International Conference on Acoustics, 2021

Evidence Augment for Multiple-Choice Machine Reading Comprehension by Weak Supervision.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Crawler Detection in Location-Based Services Using Attributed Action Net.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

From Community Search to Community Understanding: A Multimodal Community Query Engine.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Dual Implicit Mining-Based Latent Friend Recommendation.
IEEE Trans. Syst. Man Cybern. Syst., 2020

The method of Internet of Things access and network communication based on MQTT.
Comput. Commun., 2020

RolNE: Improving the Quality of Network Embedding with Structural Role Proximity.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Compact Position-Aware Attention Network for Image Semantic Segmentation.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

Prediction and Profiling of Audience Competition for Online Television Series.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Global Context-aware Representation for Implicit Discourse Relation Recognition.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Answer Graph-based Interactive Attention Network for Question Answering over Knowledge Base.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Towards Selective Data Enhanced Implicit Discourse Relation Recognition via Reinforcement Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Overcoming Language Priors with Self-supervised Learning for Visual Question Answering.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Discrete Embedding for Latent Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Graph Neural Architecture Search.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Learning Shapelet Patterns from Network-Based Time Series.
IEEE Trans. Ind. Informatics, 2019

Salient Subsequence Learning for Time Series Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Transformed ℓ1 regularization for learning sparse deep neural networks.
Neural Networks, 2019

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning.
CoRR, 2019

Transformed 𝓁<sub>1</sub> Regularization for Learning Sparse Deep Neural Networks.
CoRR, 2019

Learning from Time Series with Outlier Correction for Malicious Domain Identification.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2019

Sequence to Sequence Network for Learning Network Representation.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Low-Bit Quantization for Attributed Network Representation Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

SFDS: A Self-Feedback Detection System for DNS Hijacking Based on Multi-Protocol Cross Validation.
Proceedings of the 26th International Conference on Telecommunications, 2019

2018
Dual influence embedded social recommendation.
World Wide Web, 2018

Multiview Privileged Support Vector Machines.
IEEE Trans. Neural Networks Learn. Syst., 2018

Feature Selection With ℓ<sub>2, 1-2</sub> Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2018

Adaboost-LLP: A Boosting Method for Learning With Label Proportions.
IEEE Trans. Neural Networks Learn. Syst., 2018

Diffusion Based Network Embedding.
CoRR, 2018

Binarized attributed network embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

Malicious Websites Identification Based on Active-Passive Method.
Proceedings of the Cyber Security - 15th International Annual Conference, 2018

2017
Incremental Subgraph Feature Selection for Graph Classification.
IEEE Trans. Knowl. Data Eng., 2017

Nonsmooth Penalized Clustering via ℓ<sub>p</sub> Regularized Sparse Regression.
IEEE Trans. Cybern., 2017

Toward value difference metric with attribute weighting.
Knowl. Inf. Syst., 2017

Collective Hyping Detection System for Identifying Online Spam Activities.
IEEE Intell. Syst., 2017

Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data.
Data Min. Knowl. Discov., 2017

SFCSD: A Self-Feedback Correction System for DNS Based on Active and Passive Measurement.
CoRR, 2017

Towards large-scale social networks with online diffusion provenance detection.
Comput. Networks, 2017

WiFi fingerprint releasing for indoor localization based on differential privacy.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

ProxyDetector: A Guided Approach to Finding Web Proxies.
Proceedings of the 42nd IEEE Conference on Local Computer Networks, 2017

2016
Towards Anomalous Diffusion Sources Detection in a Large Network.
ACM Trans. Internet Techn., 2016

Online Learning from Trapezoidal Data Streams.
IEEE Trans. Knowl. Data Eng., 2016

Memetic Extreme Learning Machine.
Pattern Recognit., 2016

SODE: Self-Adaptive One-Dependence Estimators for classification.
Pattern Recognit., 2016

When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification.
Knowl. Based Syst., 2016

Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A Rule Based Open Information Extraction Method Using Cascaded Finite-State Transducer.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

CookieMiner: Towards real-time reconstruction of web-downloading chains from network traces.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Ranking-Based Music Recommendation in Online Music Radios.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

Multiple-Instance Learning with Evolutionary Instance Selection.
Proceedings of the Database Systems for Advanced Applications, 2016

On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Direct Discriminative Bag Mapping for Multi-Instance Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization.
IEEE Trans. Knowl. Data Eng., 2015

E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams.
IEEE Trans. Knowl. Data Eng., 2015

Modelling semantics across multiple time series and its applications.
Knowl. Based Syst., 2015

Locating multiple sources in social networks under the SIR model: A divide-and-conquer approach.
J. Comput. Sci., 2015

Self-adaptive attribute weighting for Naive Bayes classification.
Expert Syst. Appl., 2015

Topic-aware Source Locating in Social Networks.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Online Event Recommendation for Event-based Social Networks.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Fast Search for Distance Dependent Chinese Restaurant Processes.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

A Scheduling Framework for Periodic Tasks in Geo-Distributed Data Centers.
Proceedings of the 2015 IEEE Symposium on Service-Oriented System Engineering, 2015

Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Online diffusion source detection in social networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Influence Maximization in Big Networks: An Incremental Algorithm for Streaming Subgraph Influence Spread Estimation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Towards Mining Trapezoidal Data Streams.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Scalable Distributed Private Stream Search System.
Proceedings of the IEEE 35th International Conference on Distributed Computing Systems Workshops, 2015

Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Defragging Subgraph Features for Graph Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams.
Proceedings of the Databases Theory and Applications, 2015

2014
Comparative study between incremental and ensemble learning on data streams: Case study.
J. Big Data, 2014

Maximizing the long-term integral influence in social networks under the voter model.
Proceedings of the 23rd International World Wide Web Conference, 2014

An upper bound based greedy algorithm for mining top-k influential nodes in social networks.
Proceedings of the 23rd International World Wide Web Conference, 2014

Combining geographical information of users and content of items for accurate rating prediction.
Proceedings of the 23rd International World Wide Web Conference, 2014

Joint Optimization of Power and Filter-and-Forward Beamforming in Cognitive Networks with Frequency Selective Channels.
Proceedings of the IEEE 79th Vehicular Technology Conference, 2014

Cooperative Beamforming in Cognitive Radio Network with Two-Way Relay.
Proceedings of the IEEE 79th Vehicular Technology Conference, 2014

Folksonomy-Based In-Depth Annotation of Web Services.
Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014

Forward Classification on Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

On the Frequency Distribution of Retweets.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Estimating the Locations of Emergency Events from Twitter Streams.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Maximizing the Cumulative Influence through a Social Network when Repeat Activation Exists.
Proceedings of the International Conference on Computational Science, 2014

Discovering Multiple Diffusion Source Nodes in Social Networks.
Proceedings of the International Conference on Computational Science, 2014

A Multi-layer Event Detection Algorithm for Detecting Global and Local Hot Events in Social Networks.
Proceedings of the International Conference on Computational Science, 2014

Improving Collaborative Recommendation via Location-based User-item Subgroup.
Proceedings of the International Conference on Computational Science, 2014

Mining Large-scale Event Knowledge from Web Text.
Proceedings of the International Conference on Computational Science, 2014

A Memory-Based Continuous Query Index for Stream Processing.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

Event Recommendation in Event-Based Social Networks.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Combining Heterogenous Social and Geographical Information for Event Recommendation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
User-Centric Organization of Search Results.
IEEE Internet Comput., 2013

Discovering Semantics from Multiple Correlated Time Series Stream.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Detecting Sybil Nodes in Anonymous Communication Systems.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Mining Explainable User Interests from Scalable User Behavior Data.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Behavioral targeting with social regularization.
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Item-Based Top-k Influential User Discovery in Social Networks.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

The Application of Multiple Criteria Linear Programming in Advertisement Clicking Events Prediction.
Proceedings of the International Conference on Computational Science, 2013

Personalized influence maximization on social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Parallel auto-encoder for efficient outlier detection.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Mining Hot Topics from Twitter Streams.
Proceedings of the International Conference on Computational Science, 2012

A framework for application-driven classification of data streams.
Neurocomputing, 2012

Mining Multi-Label Data Streams Using Ensemble-Based Active Learning.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Efficient Behavior Targeting Using SVM Ensemble Indexing.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Multiple Time Series Anomaly Detection Based on Compression and Correlation Analysis: A Medical Surveillance Case Study.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

2011
Decision Rule Extraction for Regularized Multiple Criteria Linear Programming Model.
Int. J. Data Warehous. Min., 2011

Robust ensemble learning for mining noisy data streams.
Decis. Support Syst., 2011

Enabling fast prediction for ensemble models on data streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Adaptive Shared-Filter Ordering for Efficient Multimedia Stream Monitoring.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Enabling Fast Lazy Learning for Data Streams.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Predictive Data Stream Filtering.
Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2011

Continuous data stream query in the cloud.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Mining frequent patterns across multiple data streams.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Multiple criteria programming models for VIP E-Mail behavior analysis.
Web Intell. Agent Syst., 2010

Active Learning From Stream Data Using Optimal Weight Classifier Ensemble.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Knowledge extraction from multiple criteria linear programming classification approach.
Proceedings of the International Conference on Computational Science, 2010

Learning from Multiple Related Data Streams with Asynchronous Flowing Speeds.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams.
Proceedings of the ICDM 2010, 2010

A New Weighted Ensemble Model for Detecting DoS Attack Streams.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010

SKIF: a data imputation framework for concept drifting data streams.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Several multi-criteria programming methods for classification.
Comput. Oper. Res., 2009

Regularized multiple criteria linear programs for classification.
Sci. China Ser. F Inf. Sci., 2009

An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

A Study on Identifying Essential Hyperplanes for Constructing a Multiclass Classification Model.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009

A New Kernel-Based Classification Algorithm.
Proceedings of the ICDM 2009, 2009

Mining Data Streams with Labeled and Unlabeled Training Examples.
Proceedings of the ICDM 2009, 2009

Kernel Based Regularized Multiple Criteria Linear Programming Model.
Proceedings of the Computational Science, 2009

Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models.
Proceedings of the Computational Science, 2009

Multiple Criteria Quadratic Programming for Financial Distress Prediction of the Listed Manufacturing Companies.
Proceedings of the Computational Science, 2009

Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China.
Proceedings of the Computational Science, 2009

Personal Financial Market Segmentation Based on Clustering Ensembles.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

A New Classification Method for PCA-Based Face Recognition.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009

Transfer Knowledge via Relational K-Means Method.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009

A New Research Field: Intelligent Knowledge Management.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009

2008
Global and Local (Glocal) Bagging Approach for Classifying Noisy Dataset.
Int. J. Softw. Informatics, 2008

Categorizing and mining concept drifting data streams.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Cleansing Noisy Data Streams.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification.
Proceedings of the Computational Science, 2008

A Rough Set-Based Multiple Criteria Linear Programming Approach for Classification.
Proceedings of the Computational Science, 2008

A Bias-Variance Analysis of Multiple Criteria Linear Programming Classification Ensembles.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

DEA-Based Comprehensive Evaluation of Intelligent Knowledge.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Select Objective Functions for Multiple Criteria Programming Classification.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Kernel-Based Nonparametric Regression Method.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

2007
Data Mining Consulting Improve Data Quality.
Data Sci. J., 2007

Active Learning from Data Streams.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A Regularized Multiple Criteria Linear Program for Classification.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A New Multi-Criteria Quadratic-Programming Linear Classification Model for VIP E-Mail Analysis.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007


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