Hong Cheng

Orcid: 0000-0002-4673-2587

Affiliations:
  • Chinese University of Hong Kong, Department of SEEM, China
  • University of Illinois, Urbana, IL, USA (PhD 2008)


According to our database1, Hong Cheng authored at least 195 papers between 2004 and 2024.

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Bibliography

2024
Counter-Empirical Attacking Based on Adversarial Reinforcement Learning for Time-Relevant Scoring System.
IEEE Trans. Knowl. Data Eng., November, 2024

A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers.
ACM Comput. Surv., November, 2024

AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models.
IEEE Trans. Knowl. Data Eng., June, 2024

Accelerating Maximal Clique Enumeration via Graph Reduction.
Proc. VLDB Endow., June, 2024

Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis.
CoRR, 2024

ProG: A Graph Prompt Learning Benchmark.
CoRR, 2024

All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Intelligence with Large Language Models and Prompt Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Survey of Graph Meets Large Language Model: Progress and Future Directions.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Protein Multimer Structure Prediction via Prompt Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Natural Language-Assisted Multi-modal Medication Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Self-Supervised Hypergraph Representation Learning for Sociological Analysis.
IEEE Trans. Knowl. Data Eng., November, 2023

Accelerating massive queries of approximate nearest neighbor search on high-dimensional data.
Knowl. Inf. Syst., October, 2023

Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation.
Proc. ACM Manag. Data, September, 2023

Exploiting node-feature bipartite graph in graph convolutional networks.
Inf. Sci., May, 2023

Towards Indoor Temporal-Variation Aware Shortest Path Query.
IEEE Trans. Knowl. Data Eng., 2023

Computing Graph Edit Distance via Neural Graph Matching.
Proc. VLDB Endow., 2023

Graph Prompt Learning: A Comprehensive Survey and Beyond.
CoRR, 2023

Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale.
CoRR, 2023

A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers.
CoRR, 2023

Functional Distributional Semantics at Scale.
Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

All in One: Multi-Task Prompting for Graph Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Decision Support System for Chronic Diseases Based on Drug-Drug Interactions.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Contrastive Learning with Dialogue Attributes for Neural Dialogue Generation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed.
Proc. VLDB Endow., 2022

TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs.
CoRR, 2022

User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Partner Personas Generation for Dialogue Response Generation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Clustering Activation Networks.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

On Controlling Fallback Responses for Grounded Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
I/O efficient k-truss community search in massive graphs.
VLDB J., 2021

Revisiting k-Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses.
CoRR, 2021

Partner Personas Generation for Diverse Dialogue Generation.
CoRR, 2021

QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search.
CoRR, 2021

Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation.
CoRR, 2021

Mask-GVAE: Blind Denoising Graphs via Partition.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Graph Iso/Auto-morphism: A Divide-&-Conquer Approach.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Deconvolutional Networks on Graph Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast Distributed Complex Join Processing.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Answering Top-$k$ k Graph Similarity Queries in Graph Databases.
IEEE Trans. Knowl. Data Eng., 2020

Distributed Subgraph Counting: A General Approach.
Proc. VLDB Endow., 2020

Maximizing the Reduction Ability for Near-maximum Independent Set Computation.
Proc. VLDB Endow., 2020

Graph Autoencoders with Deconvolutional Networks.
CoRR, 2020

Dirichlet Graph Variational Autoencoder.
CoRR, 2020

Joint Embedding in Named Entity Linking on Sentence Level.
CoRR, 2020

Adversarial Attack on Community Detection by Hiding Individuals.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Dirichlet Graph Variational Autoencoder.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Graph Learning: Foundations, Advances and Applications.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Shortest Path Queries for Indoor Venues with Temporal Variations.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Interactive natural language question answering over knowledge graphs.
Inf. Sci., 2019

Semi-Supervised Graph Classification: A Hierarchical Graph Perspective.
Proceedings of the World Wide Web Conference, 2019

Predicting Path Failure In Time-Evolving Graphs.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Computing a Near-Maximum Independent Set in Dynamic Graphs.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Graph Mining.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Pattern-Growth Methods.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Frequent Itemsets and Association Rules.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Question Answering Over Knowledge Graphs: Question Understanding Via Template Decomposition.
Proc. VLDB Endow., 2018

Exploiting lower bounds to accelerate approximate nearest neighbor search on high-dimensional data.
Inf. Sci., 2018

TATC: Predicting Alzheimer's Disease with Actigraphy Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Efficient Computation of a Near-Maximum Independent Set over Evolving Graphs.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

VizCS: Online Searching and Visualizing Communities in Dynamic Graphs.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion.
Proceedings of the Database Systems for Advanced Applications, 2018

Exploiting Context Graph Attention for POI Recommendation in Location-Based Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
I/O-efficient algorithms for top-k nearest keyword search in massive graphs.
VLDB J., 2017

Graph repairing under neighborhood constraints.
VLDB J., 2017

Discovering Conditional Matching Rules.
ACM Trans. Knowl. Discov. Data, 2017

Subgraph Matching: on Compression and Computation.
Proc. VLDB Endow., 2017

Efficient MapReduce algorithms for triangle listing in billion-scale graphs.
Distributed Parallel Databases, 2017

Keyphrase Extraction Using Knowledge Graphs.
Data Sci. Eng., 2017

Integrating a weighted-average method into the random walk framework to generate individual friend recommendations.
Sci. China Inf. Sci., 2017

Mining Cohesive Clusters with Interpretations in Labeled Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Efficient Local Clustering Coefficient Estimation in Massive Graphs.
Proceedings of the Database Systems for Advanced Applications, 2017

Natural Language Question/Answering: Let Users Talk With The Knowledge Graph.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Minimizing Dependence between Graphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition.
IEEE Trans. Neural Networks Learn. Syst., 2016

Effective and Efficient: Large-Scale Dynamic City Express.
IEEE Trans. Knowl. Data Eng., 2016

Attributed Community Analysis: Global and Ego-centric Views.
IEEE Data Eng. Bull., 2016

Individual Friends Recommendation Based on Random Walk with Restart in Social Networks.
Proceedings of the Social Media Processing - 5th National Conference, 2016

Graph Analytics Through Fine-Grained Parallelism.
Proceedings of the 2016 International Conference on Management of Data, 2016

A Model-Free Approach to Infer the Diffusion Network from Event Cascade.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Efficient triangle listing for billion-scale graphs.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
TRIP: An Interactive Retrieving-Inferring Data Imputation Approach.
IEEE Trans. Knowl. Data Eng., 2015

Backward Path Growth for Efficient Mobile Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., 2015

Trace Norm Regularized CANDECOMP/PARAFAC Decomposition With Missing Data.
IEEE Trans. Cybern., 2015

Bonding Vertex Sets Over Distributed Graph: A Betweenness Aware Approach.
Proc. VLDB Endow., 2015

Approximate Closest Community Search in Networks.
Proc. VLDB Endow., 2015

Individual Doctor Recommendation in Large Networks by Constrained Optimization.
Int. J. Web Serv. Res., 2015

Robust bilinear factorization with missing and grossly corrupted observations.
Inf. Sci., 2015

Dense community detection in multi-valued attributed networks.
Inf. Sci., 2015

Regularized Orthogonal Tensor Decompositions for Multi-Relational Learning.
CoRR, 2015

Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Sparse Subspace Clustering for Incomplete Images.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014
Efficient processing of k-hop reachability queries.
VLDB J., 2014

Efficient Determination of Distance Thresholds for Differential Dependencies.
IEEE Trans. Knowl. Data Eng., 2014

Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme.
IEEE Trans. Knowl. Data Eng., 2014

GBAGC: A General Bayesian Framework for Attributed Graph Clustering.
ACM Trans. Knowl. Discov. Data, 2014

Repairing Vertex Labels under Neighborhood Constraints.
Proc. VLDB Endow., 2014

On Concise Set of Relative Candidate Keys.
Proc. VLDB Endow., 2014

Measuring the impact of MVC attack in large complex networks.
Inf. Sci., 2014

Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations.
CoRR, 2014

A Monte Carlo algorithm for cold start recommendation.
Proceedings of the 23rd International World Wide Web Conference, 2014

The dual-sparse topic model: mining focused topics and focused terms in short text.
Proceedings of the 23rd International World Wide Web Conference, 2014

Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Scalable big graph processing in MapReduce.
Proceedings of the International Conference on Management of Data, 2014

Querying k-truss community in large and dynamic graphs.
Proceedings of the International Conference on Management of Data, 2014

Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Recovering Low-Rank and Sparse Matrices via Robust Bilateral Factorization.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Random-walk domination in large graphs.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Latent Aspect Mining via Exploring Sparsity and Intrinsic Information.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Robust Principal Component Analysis with Missing Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Mining Graph Patterns.
Proceedings of the Frequent Pattern Mining, 2014

2013
Computing weight constraint reachability in large networks.
VLDB J., 2013

Sparse hashing for fast multimedia search.
ACM Trans. Inf. Syst., 2013

Top-K Nearest Keyword Search on Large Graphs.
Proc. VLDB Endow., 2013

Top-K Structural Diversity Search in Large Networks.
Proc. VLDB Endow., 2013

Backward Path Growth for Efficient Mobile Sequential Recommendation
CoRR, 2013

Random-walk domination in large graphs: problem definitions and fast solutions
CoRR, 2013

Predicting positive and negative links in signed social networks by transfer learning.
Proceedings of the 22nd International World Wide Web Conference, 2013

Frequent Subgraph Summarization with Error Control.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

What's Your Next Move: User Activity Prediction in Location-based Social Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Presenting diverse location views with real-time near-duplicate photo elimination.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Predicting Project Outcome Leveraging Socio-Technical Network Patterns.
Proceedings of the 17th European Conference on Software Maintenance and Reengineering, 2013

Efficient Direct Mining of Selective Discriminative Patterns for Classification.
Proceedings of the Contrast Data Mining: Concepts, Algorithms, and Applications, 2013

2012
The exact distance to destination in undirected world.
VLDB J., 2012

K-Reach: Who is in Your Small World.
Proc. VLDB Endow., 2012

Approximate Homogeneous Graph Summarization.
J. Inf. Process., 2012

Clustering Large Attributed Graph.
J. Inf. Process., 2012

Coverage-based search result diversification.
Inf. Retr., 2012

Diversifying Search Results through Pattern-Based Subtopic Modeling.
Int. J. Semantic Web Inf. Syst., 2012

Clustering large attributed information networks: an efficient incremental computing approach.
Data Min. Knowl. Discov., 2012

A Framework of Algorithms: Computing the Bias and Prestige of Nodes in Trust Networks
CoRR, 2012

Bayesian Network Structure Learning from Attribute Uncertain Data.
Proceedings of the Web-Age Information Management - 13th International Conference, 2012

Searching connected API subgraph via text phrases.
Proceedings of the 20th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-20), 2012

A model-based approach to attributed graph clustering.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Robust Reputation-Based Ranking on Bipartite Rating Networks.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Parameter-Free Determination of Distance Thresholds for Metric Distance Constraints.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Finding top-k similar graphs in graph databases.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach.
Proceedings of the Database Systems for Advanced Applications, 2012

Graph classification: a diversified discriminative feature selection approach.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Measuring robustness of complex networks under MVC attack.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Mining Discriminative Patterns for Classifying Trajectories on Road Networks.
IEEE Trans. Knowl. Data Eng., 2011

Clustering Large Attributed Graphs: A Balance between Structural and Attribute Similarities.
ACM Trans. Knowl. Discov. Data, 2011

Querying Shortest Path Distance with Bounded Errors in Large Graphs.
Proceedings of the Scientific and Statistical Database Management, 2011

An exploration of pattern-based subtopic modeling for search result diversification.
Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011

ADANA: Active Name Disambiguation.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Bug Signature Minimization and Fusion.
Proceedings of the 13th IEEE International Symposium on High-Assurance Systems Engineering, 2011

Mining closed discriminative dyadic sequential patterns.
Proceedings of the EDBT 2011, 2011

2010
Mining Graph Patterns.
Proceedings of the Managing and Mining Graph Data, 2010

Mining near-duplicate graph for cluster-based reranking of web video search results.
ACM Trans. Inf. Syst., 2010

Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach.
IEEE Trans. Knowl. Data Eng., 2010

Discriminative frequent subgraph mining with optimality guarantees.
Stat. Anal. Data Min., 2010

Mining Closed Episodes from Event Sequences Efficiently.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Clustering Large Attributed Graphs: An Efficient Incremental Approach.
Proceedings of the ICDM 2010, 2010

Stock risk mining by news.
Proceedings of the Database Technologies 2010, 2010

Discriminative Frequent Pattern-Based Graph Classification.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
Pattern-Growth Methods.
Proceedings of the Encyclopedia of Database Systems, 2009

Frequent Itemsets and Association Rules.
Proceedings of the Encyclopedia of Database Systems, 2009

Graph Clustering Based on Structural/Attribute Similarities.
Proc. VLDB Endow., 2009

Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Proceedings of the SIAM International Conference on Data Mining, 2009

Classification of software behaviors for failure detection: a discriminative pattern mining approach.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Identifying bug signatures using discriminative graph mining.
Proceedings of the Eighteenth International Symposium on Software Testing and Analysis, 2009

RankClus: integrating clustering with ranking for heterogeneous information network analysis.
Proceedings of the EDBT 2009, 2009

2008
Approximate Frequent Itemset Mining In the Presence of Random Noise.
Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008

Towards Accurate and Efficient Classification: A Discriminative and Frequent Pattern-Based Approach
PhD thesis, 2008

Mining significant graph patterns by leap search.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

BibNetMiner: mining bibliographic information networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

CISpan: Comprehensive Incremental Mining Algorithms of Closed Sequential Patterns for Multi-Versional Software Mining.
Proceedings of the SIAM International Conference on Data Mining, 2008

Forward Semi-supervised Feature Selection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Direct mining of discriminative and essential frequent patterns via model-based search tree.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Direct Discriminative Pattern Mining for Effective Classification.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
Semantic annotation of frequent patterns.
ACM Trans. Knowl. Discov. Data, 2007

On compressing frequent patterns.
Data Knowl. Eng., 2007

Frequent pattern mining: current status and future directions.
Data Min. Knowl. Discov., 2007

Mining Colossal Frequent Patterns by Core Pattern Fusion.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Discriminative Frequent Pattern Analysis for Effective Classification.
Proceedings of the 23rd International Conference on Data Engineering, 2007

2006
Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Extracting redundancy-aware top-k patterns.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Generating semantic annotations for frequent patterns with context analysis.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Mining Compressed Frequent-Pattern Sets.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

SeqIndex: Indexing Sequences by Sequential Pattern Analysis.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Summarizing itemset patterns: a profile-based approach.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

2004
IncSpan: incremental mining of sequential patterns in large database.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004


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