Peng Zhang

According to our database1, Peng Zhang
  • authored at least 112 papers between 2007 and 2018.
  • has a "Dijkstra number"2 of four.

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Bibliography

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

Diffusion Based Network Embedding.
CoRR, 2018

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

Nonsmooth Penalized Clustering via ℓp Regularized Sparse Regression.
IEEE Trans. Cybernetics, 2017

Collective Hyping Detection System for Identifying Online Spam Activities.
IEEE Intelligent Systems, 2017

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

Towards large-scale social networks with online diffusion provenance detection.
Computer Networks, 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 Recognition, 2016

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

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

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. Science, 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

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

A Security Framework for Cloud-Based Web Crawling System.
Proceedings of the 11th Web Information System and Application Conference, 2014

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

An Optimized Strategy for Data Service Response with Template-Based Caching and Compression.
Proceedings of the Service-Oriented Computing - ICSOC 2013 Workshops, 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, 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

2011
Decision Rule Extraction for Regularized Multiple Criteria Linear Programming Model.
IJDWM, 2011

Robust ensemble learning for mining noisy data streams.
Decision Support Systems, 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 Intelligence and Agent Systems, 2010

Active Learning From Stream Data Using Optimal Weight Classifier Ensemble.
IEEE Trans. Systems, Man, and Cybernetics, 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.
Computers & OR, 2009

Regularized multiple criteria linear programs for classification.
Science in China Series F: Information Sciences, 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. Software and 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 Science Journal, 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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