Ping Luo

According to our database1, Ping Luo authored at least 85 papers between 2004 and 2019.

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

Timeline

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Bibliography

2019
Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80].
Inf. Syst., 2019

2018
Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning.
ACM TIST, 2018

Discovering and learning sensational episodes of news events.
Inf. Syst., 2018

Predicting compositional time series via autoregressive Dirichlet estimation.
SCIENCE CHINA Information Sciences, 2018

Towards Automatic Numerical Cross-Checking: Extracting Formulas from Text.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Adaboost with Auto-Evaluation for Conversational Models.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Exploiting User Actions for App Recommendations.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Conversational Model Adaptation via KL Divergence Regularization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Discerning individual interests and shared interests for social user profiling.
World Wide Web, 2017

Small Batch or Large Batch?: Gaussian Walk with Rebound Can Teach.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Mining Precise-Positioning Episode Rules from Event Sequences.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Mechanism-Aware Neural Machine for Dialogue Response Generation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Revisiting bound estimation of pattern measures: A generic framework.
Inf. Sci., 2016

From Online Behaviors to Offline Retailing.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Browsing Regularities in Hedonic Content Systems.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Ensemble of Anchor Adapters for Transfer Learning.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Occupancy-Based Frequent Pattern Mining*.
TKDD, 2015

A Hybrid Framework for Semantic Relation Extraction over Enterprise Data.
Int. J. Semantic Web Inf. Syst., 2015

Convex Matrix Completion: A Trace-Ball Optimization Perspective.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Supervised Representation Learning: Transfer Learning with Deep Autoencoders.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Matrix Factorization with Scale-Invariant Parameters.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Online Frequent Episode Mining.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Heterogeneous Multi-task Semantic Feature Learning for Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Collaborating between Local and Global Learning for Distributed Online Multiple Tasks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification.
IEEE Trans. Cybernetics, 2014

Combining supervised and unsupervised models via unconstrained probabilistic embedding.
Inf. Sci., 2014

Toward detection of aliases without string similarity.
Inf. Sci., 2014

Efficient incremental update and querying in AWETO RDF storage system.
Data Knowl. Eng., 2014

Discovering and learning sensational episodes of news events.
Proceedings of the 23rd International World Wide Web Conference, 2014

Mining user tasks from print logs.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Deal or deceit: detecting cheating in distribution channels.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Multi-task Multi-view Learning for Heterogeneous Tasks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Discovering General Prominent Streaks in Sequence Data.
TKDD, 2013

Triplex transfer learning: exploiting both shared and distinct concepts for text classification.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

App recommendation: a contest between satisfaction and temptation.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Embedding with Autoencoder Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Silence is also evidence: interpreting dwell time for recommendation from psychological perspective.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Linking named entities in Tweets with knowledge base via user interest modeling.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework.
Proceedings of the IJCAI 2013, 2013

From Social User Activities to People Affiliation.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

GRIAS: An Entity-Relation Graph Based Framework for Discovering Entity Aliases.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification".
IEEE Trans. Knowl. Data Eng., 2012

Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification.
IEEE Trans. Knowl. Data Eng., 2012

Distributed data mining: a survey.
Information Technology and Management, 2012

APOLLO: a general framework for populating ontology with named entities via random walks on graphs.
Proceedings of the 21st World Wide Web Conference, 2012

LINDEN: linking named entities with knowledge base via semantic knowledge.
Proceedings of the 21st World Wide Web Conference 2012, 2012

A straw shows which way the wind blows: ranking potentially popular items from early votes.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Towards alias detection without string similarity: an active learning based approach.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Harnessing the wisdom of the crowds for accurate web page clipping.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

LIEGE: : link entities in web lists with knowledge base.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Incorporating occupancy into frequent pattern mining for high quality pattern recommendation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A graph-based approach for ontology population with named entities.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
REACTOR: a framework for semantic relation extraction and tagging over enterprise data.
Proceedings of the 20th International Conference on World Wide Web, 2011

Prominent streak discovery in sequence data.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding.
Proceedings of the IJCAI 2011, 2011

AWETO: efficient incremental update and querying in rdf storage system.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective.
IEEE Trans. Knowl. Data Eng., 2010

Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization.
Proceedings of the SIAM International Conference on Data Mining, 2010

D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification.
Proceedings of the ICDM 2010, 2010

Topic Modeling Ensembles.
Proceedings of the ICDM 2010, 2010

Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization.
IEEE Trans. Knowl. Data Eng., 2009

Wikipedia-Graph Based Key Concept Extraction towards News Analysis.
Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing, 2009

Towards combining web classification and web information extraction: a case study.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Topic Modeling for Sequences of Temporal Activities.
Proceedings of the ICDM 2009, 2009

Web article extraction for web printing: a DOM+visual based approach.
Proceedings of the 2009 ACM Symposium on Document Engineering, 2009

OfCourse: web content discovery, classification and information extraction for online course materials.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Transfer learning from multiple source domains via consensus regularization.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
On Defining Partition Entropy by Inequalities.
IEEE Trans. Information Theory, 2007

A revisit of fast greedy heuristics for mapping a class of independent tasks onto heterogeneous computing systems.
J. Parallel Distrib. Comput., 2007

Distributed data mining in grid computing environments.
Future Generation Comp. Syst., 2007

Distributed classification in peer-to-peer networks.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Combination Methodologies of Multi-agent Hyper Surface Classifiers: Design and Implementation Issues.
Proceedings of the Autonomous Intelligent Systems: Multi-Agents and Data Mining, 2007

2006
A heterogeneous computing system for data mining workflows in multi-agent environments.
Expert Systems, 2006

A Heterogeneous Computing System for Data Mining Workflows.
Proceedings of the Flexible and Efficient Information Handling, 2006

2005
Execution Engine of Meta-learning System for KDD in Multi-agent Environment.
Proceedings of the Autonomous Intelligent Systems: Agents and Data Mining, 2005

Theoretical study on a new information entropy and its use in attribute reduction.
Proceedings of the 4th IEEE International Conference on Cognitive Informatics (ICCI 2005), 2005

2004
Intelligent Technology for Well Logging Analysis.
Proceedings of the Intelligent Information Processing II, 2004

Efficiently Mining Frequent Itemsets with Compact FP-Tree.
Proceedings of the Intelligent Information Processing II, 2004

A Prediction Approach to Well Logging.
Proceedings of the Intelligent Information Processing II, 2004


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