Xifeng Yan

Affiliations:
  • University of California, Santa Barbara, USA


According to our database1, Xifeng Yan authored at least 209 papers between 2002 and 2024.

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Bibliography

2024
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling.
CoRR, 2024

2023
Improving topic disentanglement via contrastive learning.
Inf. Process. Manag., 2023

GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks.
CoRR, 2023

Do you really follow me? Adversarial Instructions for Evaluating the Robustness of Large Language Models.
CoRR, 2023

Augmenting Language Models with Long-Term Memory.
CoRR, 2023

STEPS: A Benchmark for Order Reasoning in Sequential Tasks.
CoRR, 2023

Bot or Human? Detecting ChatGPT Imposters with A Single Question.
CoRR, 2023

Guiding Large Language Models via Directional Stimulus Prompting.
CoRR, 2023

Augmenting Language Models with Long-Term Memory.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Guiding Large Language Models via Directional Stimulus Prompting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Time Series as Images: Vision Transformer for Irregularly Sampled Time Series.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling.
Proceedings of the International Conference on Machine Learning, 2023

Visually-Augmented Language Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Limitations of Language Models in Arithmetic and Symbolic Induction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Graph Reasoning for Question Answering with Triplet Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Forecasting Earnings Surprises from Conference Call Transcripts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Heterogeneous Information Networks: the Past, the Present, and the Future.
Proc. VLDB Endow., 2022

Context-guided entropy minimization for semi-supervised domain adaptation.
Neural Networks, 2022

Cross-modal image retrieval with deep mutual information maximization.
Neurocomputing, 2022

Explanations from Large Language Models Make Small Reasoners Better.
CoRR, 2022

How to Teach: Learning Data-Free Knowledge Distillation from Curriculum.
CoRR, 2022

Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Visualization question answering using introspective program synthesis.
Proceedings of the PLDI '22: 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, USA, June 13, 2022

Language Model Detoxification in Dialogue with Contextualized Stance Control.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Controllable Dialogue Simulation with In-context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Inductive Relation Prediction by BERT.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Network Intervention for Mental Disorders with Minimum Small Dense Subgroups.
IEEE Trans. Knowl. Data Eng., 2021

Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation.
CoRR, 2021

Composite Re-Ranking for Efficient Document Search with BERT.
CoRR, 2021

Attention-based Domain Adaptation for Time Series Forecasting.
CoRR, 2021

Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Inter-Series Attention Model for COVID-19 Forecasting.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Lifelong Learning of Hate Speech Classification on Social Media.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers.
Proceedings of the 9th International Conference on Learning Representations, 2021

Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Comprehensively Computing Link-based Similarities by Building A Random Surfer Graph.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Performance Bounds of Decentralized Search in Expert Networks for Query Answering.
ACM Trans. Knowl. Discov. Data, 2019

Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning.
CoRR, 2019

You May Not Need Order in Time Series Forecasting.
CoRR, 2019

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Mining Algorithm Roadmap in Scientific Publications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

HierCon: Hierarchical Organization of Technical Documents Based on Concepts.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Global Textual Relation Embedding for Relational Understanding.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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

Unsupervised Neural Categorization for Scientific Publications.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Global Relation Embedding for Relation Extraction.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Variational Knowledge Graph Reasoning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Concept Mining via Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

What It Takes to Achieve 100 Percent Condition Accuracy on WikiSQL.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

XL-NBT: A Cross-lingual Neural Belief Tracking Framework.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

DialSQL: Dialogue Based Structured Query Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Privacy Cyborg: Towards Protecting the Privacy of Social Media Users.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Recovering Question Answering Errors via Query Revision.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Cross-domain Semantic Parsing via Paraphrasing.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Privacy-Preserving Community-Aware Trending Topic Detection in Online Social Media.
Proceedings of the Data and Applications Security and Privacy XXXI, 2017

Extracting Topics with Focused Communities for Social Content Recommendation.
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

2016
Semantic SPARQL Similarity Search Over RDF Knowledge Graphs.
Proc. VLDB Endow., 2016

Observability of Lattice Graphs.
Algorithmica, 2016

Table Cell Search for Question Answering.
Proceedings of the 25th International Conference on World Wide Web, 2016

Entity Disambiguation with Linkless Knowledge Bases.
Proceedings of the 25th International Conference on World Wide Web, 2016

A Fast Kernel for Attributed Graphs.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Distributed Representations of Expertise.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Decentralized search in expert networks: Generic models and performance bounds.
Proceedings of the 24th IEEE International Conference on Network Protocols, 2016

Fast top-k search in knowledge graphs.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Fast motif discovery in short sequences.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

On the Efficiency of Decentralized Search in Expert Networks.
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

Improving Semantic Parsing via Answer Type Inference.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

On Generating Characteristic-rich Question Sets for QA Evaluation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Query Answering Efficiency in Expert Networks Under Decentralized Search.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Analyzing information sharing strategies of users in online social networks.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Querying Knowledge Graphs by Example Entity Tuples.
IEEE Trans. Knowl. Data Eng., 2015

Fine-Grained Knowledge Sharing in Collaborative Environments.
IEEE Trans. Knowl. Data Eng., 2015

Behavior Query Discovery in System-Generated Temporal Graphs.
Proc. VLDB Endow., 2015

MSPKmerCounter: A Fast and Memory Efficient Approach for K-mer Counting.
CoRR, 2015

Exploiting Relevance Feedback in Knowledge Graph Search.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Query-Based Outlier Detection in Heterogeneous Information Networks.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

Mining Complaints for Traffic-Jam Estimation: A Social Sensor Application.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model.
IEEE Trans. Knowl. Data Eng., 2014

Interpreting the Public Sentiment Variations on Twitter.
IEEE Trans. Knowl. Data Eng., 2014

Schemaless and Structureless Graph Querying.
Proc. VLDB Endow., 2014

SLQ: a user-friendly graph querying system.
Proceedings of the International Conference on Management of Data, 2014

Towards a Query-by-Example System for Knowledge Graphs.
Proceedings of the Second International Workshop on Graph Data Management Experiences and Systems, 2014

A Probabilistic Approach to Uncovering Attributed Graph Anomalies.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Extracting probable command and control signatures for detecting botnets.
Proceedings of the Symposium on Applied Computing, 2014

Expertise-Based Data Access in Content-Centric Mobile Opportunistic Networks.
Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014

Towards scalable critical alert mining.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Network mining and analysis for social applications.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Analyzing expert behaviors in collaborative networks.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Cloud service placement via subgraph matching.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

GQBE: Querying knowledge graphs by example entity tuples.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Top-K interesting subgraph discovery in information networks.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Big Data in Online Social Networks: User Interaction Analysis to Model User Behavior in Social Networks.
Proceedings of the Databases in Networked Information Systems - 9th International Workshop, 2014

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

2013
Static and Dynamic Structural Correlations in Graphs.
IEEE Trans. Knowl. Data Eng., 2013

Co-Occurrence-Based Diffusion for Expert Search on the Web.
IEEE Trans. Knowl. Data Eng., 2013

PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks.
ACM Trans. Knowl. Discov. Data, 2013

Summarizing Answer Graphs Induced by Keyword Queries.
Proc. VLDB Endow., 2013

Memory Efficient Minimum Substring Partitioning.
Proc. VLDB Endow., 2013

NeMa: Fast Graph Search with Label Similarity.
Proc. VLDB Endow., 2013

MATRI: a multi-aspect and transitive trust inference model.
Proceedings of the 22nd International World Wide Web Conference, 2013

Synthetic review spamming and defense.
Proceedings of the 22nd International World Wide Web Conference, 2013

Characterizing tenant behavior for placement and crisis mitigation in multitenant DBMSs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Mining evidences for named entity disambiguation.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Automated Trauma Incident Cubes Analysis.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

Noise-Resistant Bicluster Recognition.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Ontology-based subgraph querying.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

gIceberg: Towards iceberg analysis in large graphs.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

I act, therefore I judge: network sentiment dynamics based on user activity change.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

On detecting association-based clique outliers in heterogeneous information networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

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

2012
Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach.
Proc. VLDB Endow., 2012

Measuring Two-Event Structural Correlations on Graphs.
Proc. VLDB Endow., 2012

MaTrust: An Effective Multi-Aspect Trust Inference Model
CoRR, 2012

Memory Efficient De Bruijn Graph Construction
CoRR, 2012

Understanding task-driven information flow in collaborative networks.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Towards effective partition management for large graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Workload characterization and prediction in the cloud: A multiple time series approach.
Proceedings of the 2012 IEEE Network Operations and Management Symposium, 2012

Integrating meta-path selection with user-guided object clustering in heterogeneous information networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Latent association analysis of document pairs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Efficient multicasting for delay tolerant networks using graph indexing.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Inferring the Underlying Structure of Information Cascades.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Emerging Graph Queries in Linked Data.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Mining Knowledge from Data: An Information Network Analysis Approach.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Density index and proximity search in large graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A general framework to encode heterogeneous information sources for contextual pattern mining.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Mining Top-K Large Structural Patterns in a Massive Network.
Proc. VLDB Endow., 2011

PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks.
Proc. VLDB Endow., 2011

Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning.
Mach. Learn., 2011

Neighborhood based fast graph search in large networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Assessing and ranking structural correlations in graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

On Flow Authority Discovery in Social Networks.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Efficient Topological OLAP on Information Networks.
Proceedings of the Database Systems for Advanced Applications, 2011

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

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

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

Synthesizing Near-Optimal Malware Specifications from Suspicious Behaviors.
Proceedings of the 31st IEEE Symposium on Security and Privacy, 2010

Towards proximity pattern mining in large graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Mining knowledge from databases: an information network analysis approach.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Cross-Selling Optimization for Customized Promotion.
Proceedings of the SIAM International Conference on Data Mining, 2010

Frequent trajectory mining on GPS data.
Proceedings of the Third International Workshop on Location and the Web, 2010

Generative models for ticket resolution in expert networks.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Top-K aggregation queries over large networks.
Proceedings of the 26th International Conference on Data Engineering, 2010

Mining Diversity on Networks.
Proceedings of the Database Systems for Advanced Applications, 2010

Content-Aware Resolution Sequence Mining for Ticket Routing.
Proceedings of the Business Process Management - 8th International Conference, 2010

Assessing Expertise Awareness in Resolution Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

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

InfoNetOLAP: OLAP and Mining of Information Networks.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

Mining Large Information Networks by Graph Summarization.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
Mining of Chemical Data.
Proceedings of the Encyclopedia of Database Systems, 2009

Mining Graph Patterns Efficiently via Randomized Summaries.
Proc. VLDB Endow., 2009

Graph OLAP: a multi-dimensional framework for graph data analysis.
Knowl. Inf. Syst., 2009

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

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

SmallBlue: Social Network Analysis for Expertise Search and Collective Intelligence.
Proceedings of the 25th International Conference on Data Engineering, 2009

Scalable OLAP and mining of information networks.
Proceedings of the EDBT 2009, 2009

2008
Report on the First International Workshop on Mining Graphs and Complex Structures (MGCS'07).
SIGMOD Rec., 2008

EasyTicket: a ticket routing recommendation engine for enterprise problem resolution.
Proc. VLDB Endow., 2008

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

Efficient ticket routing by resolution sequence mining.
Proceedings of the 14th ACM SIGKDD International Conference on 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

Graph OLAP: Towards Online Analytical Processing on Graphs.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

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

On effective presentation of graph patterns: a structural representative approach.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Mining Frequent Approximate Sequential Patterns.
Proceedings of the Next Generation of Data Mining., 2008

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

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

EntityRank: Searching Entities Directly and Holistically.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Towards Graph Containment Search and Indexing.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Supporting entity search: a large-scale prototype search engine.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

gPrune: A Constraint Pushing Framework for Graph Pattern Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

A graph-based approach to systematically reconstruct human transcriptional regulatory modules.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Systematic discovery of functional modules and context-specific functional annotation of human genome.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Efficient Discovery of Frequent Approximate Sequential Patterns.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

gApprox: Mining Frequent Approximate Patterns from a Massive Network.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 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
Mining, Indexing and Similarity Search in Large Graph Data Sets
PhD thesis, 2006

Statistical Debugging: A Hypothesis Testing-Based Approach.
IEEE Trans. Software Eng., 2006

Feature-based similarity search in graph structures.
ACM Trans. Database Syst., 2006

Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data.
Bioinform., 2006

Mining Control Flow Abnormality for Logic Error Isolation.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

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

Searching Substructures with Superimposed Distance.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Mining, Indexing, and Similarity Search in Graphs and Complex Structures.
Proceedings of the 22nd International Conference on Data Engineering, 2006

2005
Graph indexing based on discriminative frequent structure analysis.
ACM Trans. Database Syst., 2005

TSP: Mining top-<i>k</i> closed sequential patterns.
Knowl. Inf. Syst., 2005

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

SOBER: statistical model-based bug localization.
Proceedings of the 10th European Software Engineering Conference held jointly with 13th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2005

Substructure Similarity Search in Graph Databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

GraphMiner: a structural pattern-mining system for large disk-based graph databases and its applications.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

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

Community Mining from Multi-relational Networks.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

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

Mining hidden community in heterogeneous social networks.
Proceedings of the 3rd international workshop on Link discovery, 2005

Mining coherent dense subgraphs across massive biological networks for functional discovery.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Mining Closed Relational Graphs with Connectivity Constraints.
Proceedings of the 21st International Conference on Data Engineering, 2005

2004
From Sequential Pattern Mining to Structured Pattern Mining: A Pattern-Growth Approach.
J. Comput. Sci. Technol., 2004

Graph Indexing: A Frequent Structure-based Approach.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 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

2003
CloSpan: Mining Closed Sequential Patterns in Large Datasets.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

CloseGraph: mining closed frequent graph patterns.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

TSP: Mining Top-K Closed Sequential Patterns.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
gSpan: Graph-Based Substructure Pattern Mining.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002


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