Gang Li

According to our database1, Gang Li authored at least 68 papers between 2002 and 2019.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2019
Industry 4.0 and big data innovations.
Enterprise IS, 2019

2018
Answering differentially private queries for continual datasets release.
Future Generation Comp. Syst., 2018

Domestic Violence Crisis Identification From Facebook Posts Based on Deep Learning.
IEEE Access, 2018

IEEE Access Special Section: Curbing Crowdturfing in Online Social Networks.
IEEE Access, 2018

ALDD: A Hybrid Traffic-User Behavior Detection Method for Application Layer DDoS.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Group Outlying Aspects Mining.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Sentiment Embedded Semantic Space for More Accurate Sentiment Analysis.
Proceedings of the Knowledge Science, Engineering and Management, 2018

2017
Differential Privacy and Applications
Advances in Information Security 69, Springer, ISBN: 978-3-319-62002-2, 2017

Differentially Private Data Publishing and Analysis: A Survey.
IEEE Trans. Knowl. Data Eng., 2017

Book review "Analytics in smart tourism design"; Zheng Xiang, Daniel R. Fesenmaier; ISBN 978-3-319-44262-4, 978-3-319-44263-1, Springer, 2017, 328 pp., $302.71.
J. of IT & Tourism, 2017

Boosting imbalanced data learning with Wiener process oversampling.
Frontiers Comput. Sci., 2017

Curbing collusive cyber-gossips for business brand management.
Enterprise IS, 2017

New advances in securing cyberspace and curbing crowdturfing.
Concurrency and Computation: Practice and Experience, 2017

FEPDF: A Robust Feature Extractor for Malicious PDF Detection.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold.
Proceedings of the International Conference on Computational Science, 2017

Differentially private query learning: From data publishing to model publishing.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

2016
Privacy-preserving topic model for tagging recommender systems.
Knowl. Inf. Syst., 2016

A differentially private algorithm for location data release.
Knowl. Inf. Syst., 2016

Exploring probabilistic follow relationship to prevent collusive peer-to-peer piracy.
Knowl. Inf. Syst., 2016

Energy Efficient Sleep Schedule with Service Coverage Guarantee in Wireless Sensor Networks.
J. Network Syst. Manage., 2016

Book Review "Advances in Crowdsourcing".
J. of IT & Tourism, 2016

Securing cyberspace.
Concurrency and Computation: Practice and Experience, 2016

Riemannian optimization with subspace tracking for low-rank recovery.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Privacy preserving data release for tagging recommender systems.
Web Intelligence, 2015

Correlated Differential Privacy: Hiding Information in Non-IID Data Set.
IEEE Trans. Information Forensics and Security, 2015

Recover Fault Services via Complex Service-to-Node Mappings in Wireless Sensor Networks.
J. Network Syst. Manage., 2015

Big data related technologies, challenges and future prospects.
J. of IT & Tourism, 2015

A survey of recommendation techniques based on offline data processing.
Concurrency and Computation: Practice and Experience, 2015

Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Modelling personal preferences for Top-N movie recommendations.
Web Intelligence and Agent Systems, 2014

Privacy preserving collaborative filtering for KNN attack resisting.
Social Netw. Analys. Mining, 2014

The maximum imputation framework for neighborhood-based collaborative filtering.
Social Netw. Analys. Mining, 2014

Context-Aware Service Ranking in Wireless Sensor Networks.
J. Network Syst. Manage., 2014

Bloom filter-based workflow management to enable QoS guarantee in wireless sensor networks.
J. Network and Computer Applications, 2014

Interaction relationships of caches in agent-based HD video surveillance: Discovery and utilization.
J. Network and Computer Applications, 2014

A block-aware hybrid data dissemination with hotspot elimination in wireless sensor network.
J. Network and Computer Applications, 2014

Special issue on behavior data security issues in network information propagation.
Future Generation Comp. Syst., 2014

Privacy Preserving in Location Data Release: A Differential Privacy Approach.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Deferentially Private Tagging Recommendation Based on Topic Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013
Lazy Collaborative Filtering for Data Sets With Missing Values.
IEEE Trans. Cybernetics, 2013

A learning method for Top-N recommendations with incomplete data.
Social Netw. Analys. Mining, 2013

A Policy-Based Web Service Redundancy Detection in Wireless Sensor Networks.
J. Network Syst. Manage., 2013

Privacy Preserving for Tagging Recommender Systems.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Recommendation Techniques Based on Off-Line Data Processing a Multifaceted Survey.
Proceedings of the Ninth International Conference on Semantics, Knowledge and Grids, 2013

Top-N Recommendations by Learning User Preference Dynamics.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Differential privacy for neighborhood-based collaborative filtering.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

AdaM: adaptive-maximum imputation for neighborhood-based collaborative filtering.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Guest Editorial.
JNW, 2012

Learning User Preference Patterns for Top-N Recommendations.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Hierarchical Workflow Management in Wireless Sensor Network.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Improving Top-N Recommendations with User Consuming Profiles.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

The efficient imputation method for neighborhood-based collaborative filtering.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Learning Rating Patterns for Top-N Recommendations.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

An Agent Collaboration-Based Data Hierarchical Caching Approach for HD Video Surveillance.
Proceedings of the Agents and Data Mining Interaction - 8th International Workshop, 2012

2011
Multi-granularity context model for dynamic Web service composition.
J. Network and Computer Applications, 2011

CARSA: A context-aware reasoning-based service agent model for AI planning of web service composition.
J. Network and Computer Applications, 2011

Reasoning-Based Context-Aware Workflow Management in Wireless Sensor Network.
Proceedings of the Service-Oriented Computing - ICSOC 2011 Workshops, 2011

Mining Frequent Agent Action Patterns for Effective Multi-agent-Based Web Service Composition.
Proceedings of the Agents and Data Mining Interaction, 2011

2009
Facilitating dynamic web service composition with fine-granularity context management.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

2007
An effective non-parametric method for globally clustering genes from expression profiles.
Med. Biol. Engineering and Computing, 2007

2006
Abnormal Behavior Detection for Early Warning of Terrorist Attack.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Integrating Local One-Class Classifiers for Image Retrieval.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

Finding the Optimal Cardinality Value for Information Bottleneck Method.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
Evolving Insight into High-Dimensional Data.
Proceedings of the Advances in Intelligent Computing, 2005

2004
Accelerating Linear Causal Model Discovery Using Hoeffding Bounds.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Identifying Markov Blankets Using Lasso Estimation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

2002
Linear Causal Model Discovery Using the MML criterion.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks.
Proceedings of the Machine Learning: ECML 2002, 2002


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