Jianyong Wang

Orcid: 0000-0002-7555-170X

Affiliations:
  • Tsinghua University, Beijing, China
  • University of Illinois at Urbana-Champaign, USA (former)
  • Peking University, Beijing, China (former)


According to our database1, Jianyong Wang authored at least 170 papers between 1997 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2017, "For development of efficient data mining algorithms".

Timeline

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Bibliography

2024
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework.
IEEE Trans. Knowl. Data Eng., December, 2024

Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction.
IEEE Trans. Knowl. Data Eng., March, 2024

Learning Interpretable Rules for Scalable Data Representation and Classification.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders.
CoRR, 2024

FocusLLM: Scaling LLM's Context by Parallel Decoding.
CoRR, 2024

You Only Cache Once: Decoder-Decoder Architectures for Language Models.
CoRR, 2024

Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation.
CoRR, 2024

Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing.
ACM Trans. Inf. Syst., October, 2023

Learning Entity Linking Features for Emerging Entities.
IEEE Trans. Knowl. Data Eng., July, 2023

Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Entity Linking Meets Deep Learning: Techniques and Solutions.
IEEE Trans. Knowl. Data Eng., March, 2023

Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution.
CoRR, 2023

Retentive Network: A Successor to Transformer for Large Language Models.
CoRR, 2023

Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today.
CoRR, 2023

Learning to Binarize Continuous Features for Neuro-Rule Networks.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Toward a Unified Framework for Unsupervised Complex Tabular Reasoning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation.
ACM Trans. Inf. Syst., 2022

Attentive Representation Learning With Adversarial Training for Short Text Clustering.
IEEE Trans. Knowl. Data Eng., 2022

Toward Tweet Entity Linking With Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., 2022

Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Effective Few-Shot Named Entity Linking by Meta-Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Prompt Tuning for Discriminative Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Named Entity Location Prediction Combining Twitter and Web.
IEEE Trans. Knowl. Data Eng., 2021

Data-Free Knowledge Transfer: A Survey.
CoRR, 2021

Social Link Inference via Multi-View Matching Network from Spatio-Temporal Trajectories.
CoRR, 2021

Joint Open Knowledge Base Canonicalization and Linking.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Scalable Rule-Based Representation Learning for Interpretable Classification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Jointly Modeling Fact Triples and Text Information for Knowledge Base Completion.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Bridging the Language Gap: Knowledge Injected Multilingual Question Answering.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack.
Proceedings of the Database Systems for Advanced Applications, 2021

Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Graph-Based Tri-Attention Network for Answer Ranking in CQA.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Editorial of Special Issue of ICDM 2019.
Data Sci. Eng., 2020

Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference.
Proceedings of the Database Systems for Advanced Applications, 2020

Transparent Classification with Multilayer Logical Perceptrons and Random Binarization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Novel Hybrid Sequential Model for Review-Based Rating Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Sequential Patterns.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., 2018

Style Transfer as Unsupervised Machine Translation.
CoRR, 2018

An Attention Factor Graph Model for Tweet Entity Linking.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

The Poisson multi-media knowledge construction System for TAC KBP 2018.
Proceedings of the 2018 Text Analysis Conference, 2018

Model-based Clustering of Short Text Streams.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Predicting Named Entity Location Using Twitter.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Guest editorial: WWWJ special issue of the 16th International Conference on Web Information Systems Engineering (WISE 2015).
World Wide Web, 2017

2016
Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction.
IEEE Trans. Knowl. Data Eng., 2016

A General Framework for Graph Matching and Its Application in Ontology Matching.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

A Text Clustering Algorithm Using an Online Clustering Scheme for Initialization.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A model-based approach for text clustering with outlier detection.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions.
IEEE Trans. Knowl. Data Eng., 2015

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

A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Prior-Based Dual Additive Latent Dirichlet Allocation for User-Item Connected Documents.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Domain-Specific Knowledge Base Enrichment Using Wikipedia Tables.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest Recommendation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

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

A probabilistic model for linking named entities in web text with heterogeneous information networks.
Proceedings of the International Conference on Management of Data, 2014

A dirichlet multinomial mixture model-based approach for short text clustering.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

We can learn your #hashtags: Connecting tweets to explicit topics.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Sequential Pattern Mining.
Proceedings of the Frequent Pattern Mining, 2014

2013
Introduction to Special section on Large-scale Data Mining.
Data Knowl. Eng., 2013

Learning to annotate tweets with crowd wisdom.
Proceedings of the 22nd International World Wide Web Conference, 2013

Retweet or not?: personalized tweet re-ranking.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Combining latent factor model with location features for event-based group recommendation.
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

Integrating Semantic Relatedness and Words' Intrinsic Features for Keyword Extraction.
Proceedings of the IJCAI 2013, 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
Efficient Mining of Gap-Constrained Subsequences and Its Various Applications.
ACM Trans. Knowl. Discov. Data, 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

HeterRank: addressing information heterogeneity for personalized recommendation in social tagging systems.
Proceedings of the 21st World Wide Web Conference, 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

Keyword-propagation-based information enriching and noise removal for web news videos.
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 heterogeneous information for personalized tag recommendation in social tagging systems.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 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
Providing built-in keyword search capabilities in RDBMS.
VLDB J., 2011

KEMB: A Keyword-Based XML Message Broker.
IEEE Trans. Knowl. Data Eng., 2011

Finding Top-k Answers in Keyword Search over Relational Databases Using Tuple Units.
IEEE Trans. Knowl. Data Eng., 2011

On Graph-Based Name Disambiguation.
ACM J. Data Inf. Qual., 2011

An effective 3-in-1 keyword search method over heterogeneous data sources.
Inf. Syst., 2011

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

FAMER: Making Multi-Instance Learning Better and Faster.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

On Anonymization of Multi-graphs.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Efficient Mining of Closed Sequential Patterns on Stream Sliding Window.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Efficient Incremental Mining of Frequent Sequence Generators.
Proceedings of the Database Systems for Advanced Applications, 2011

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

2010
Finding and ranking compact connected trees for effective keyword proximity search in XML documents.
Inf. Syst., 2010

GRAPE: a system for disambiguating and tagging people names in web search.
Proceedings of the 19th International Conference on World Wide Web, 2010

Direct mining of discriminative patterns for classifying uncertain data.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model.
Proceedings of the ICDM 2010, 2010

SEQUEL: query completion via pattern mining on multi-column structural data.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Sequential Patterns.
Proceedings of the Encyclopedia of Database Systems, 2009

Comparing Stars: On Approximating Graph Edit Distance.
Proc. VLDB Endow., 2009

CONTOUR: an efficient algorithm for discovering discriminating subsequences.
Data Min. Knowl. Discov., 2009

Incremental sequence-based frequent query pattern mining from XML queries.
Data Min. Knowl. Discov., 2009

Two birds with one stone: a graph-based framework for disambiguating and tagging people names in web search.
Proceedings of the 18th International Conference on World Wide Web, 2009

Parallel community detection on large networks with propinquity dynamics.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Frequent pattern mining with uncertain data.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

GRAPE: A Graph-Based Framework for Disambiguating People Appearances in Web Search.
Proceedings of the ICDM 2009, 2009

Progressive Keyword Search in Relational Databases.
Proceedings of the 25th International Conference on Data Engineering, 2009

FOGGER: an algorithm for graph generator discovery.
Proceedings of the EDBT 2009, 2009

Structure-aware indexing for keyword search in databases.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Efficient itemset generator discovery over a stream sliding window.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
An effective and versatile keyword search engine on heterogenous data sources.
Proc. VLDB Endow., 2008

Race: finding and ranking compact connected trees for keyword proximity search over xml documents.
Proceedings of the 17th International Conference on World Wide Web, 2008

Sailer: an effective search engine for unified retrieval of heterogeneous xml and web documents.
Proceedings of the 17th International Conference on World Wide Web, 2008

Efficient vectorial operators for processing xml twig queries.
Proceedings of the 17th International Conference on World Wide Web, 2008

Efficient mining of frequent sequence generators.
Proceedings of the 17th International Conference on World Wide Web, 2008

EASE: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Efficiently Mining Closed Subsequences with Gap Constraints.
Proceedings of the SIAM International Conference on Data Mining, 2008

Efficient Mining of Minimal Distinguishing Subgraph Patterns from Graph Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Parallel mining of closed quasi-cliques.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

GHOST: an effective graph-based framework for name distinction.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

High Confidence Fragment-Based Classification Rule Mining for Imbalanced HIV Data.
Proceedings of the Progress in WWW Research and Development, 2008

2007
Multi-Dimensional Analysis of Data Streams Using Stream Cubes.
Proceedings of the Data Streams - Models and Algorithms, 2007

On Clustering Massive Data Streams: A Summarization Paradigm.
Proceedings of the Data Streams - Models and Algorithms, 2007

Out-of-core coherent closed quasi-clique mining from large dense graph databases.
ACM Trans. Database Syst., 2007

Frequent Closed Sequence Mining without Candidate Maintenance.
IEEE Trans. Knowl. Data Eng., 2007

Efficient Mining of Frequent Closed XML Query Pattern.
J. Comput. Sci. Technol., 2007

Discriminating Subsequence Discovery for Sequence Clustering.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Xproj: a framework for projected structural clustering of xml documents.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Effective keyword search for valuable lcas over xml documents.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

2006
On Mining Instance-Centric Classification Rules.
IEEE Trans. Knowl. Data Eng., 2006

Closed Constrained Gradient Mining in Retail Databases.
IEEE Trans. Knowl. Data Eng., 2006

Discovering Frequent Closed Partial Orders from Strings.
IEEE Trans. Knowl. Data Eng., 2006

Regression Cubes with Lossless Compression and Aggregation.
IEEE Trans. Knowl. Data Eng., 2006

A Framework for On-Demand Classification of Evolving Data Streams.
IEEE Trans. Knowl. Data Eng., 2006

On efficiently summarizing categorical databases.
Knowl. Inf. Syst., 2006

Microarray analysis distinguishes differential gene expression patterns from large and small colony <i>Thymidine kinase </i>mutants of L5178Y mouse lymphoma cells.
BMC Bioinform., 2006

Exploit sequencing to accelerate hot XML query pattern mining.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Coherent closed quasi-clique discovery from large dense graph databases.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Mining Complex Time-Series Data by Learning Markovian Models.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Incremental Mining of Frequent Query Patterns from XML Queries for Caching.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

CLAN: An Algorithm for Mining Closed Cliques from Large Dense Graph Databases.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Model Video Semantics with Constraints Considering Temporal Structure and Typed Events.
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

Exploit Sequencing to Accelerate XML Twig Query Answering.
Proceedings of the Database Systems for Advanced Applications, 2006

2005
TFP: An Efficient Algorithm for Mining Top-K Frequent Closed Itemsets.
IEEE Trans. Knowl. Data Eng., 2005

Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams.
Distributed Parallel Databases, 2005

On High Dimensional Projected Clustering of Data Streams.
Data Min. Knowl. Discov., 2005

HARMONY: Efficiently Mining the Best Rules for Classification.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Efficiently Mining Frequent Closed Partial Orders.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach.
IEEE Trans. Knowl. Data Eng., 2004

A Framework for Projected Clustering of High Dimensional Data Streams.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Efficient closed pattern mining in the presence of tough block constraints.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

On demand classification of data streams.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

SUMMARY: Efficiently Summarizing Transactions for Clustering.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

BIDE: Efficient Mining of Frequent Closed Sequences.
Proceedings of the 20th International Conference on Data Engineering, 2004

2003
A Framework for Clustering Evolving Data Streams.
Proceedings of 29th International Conference on Very Large Data Bases, 2003

CLOSET+: searching for the best strategies for mining frequent closed itemsets.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2002
Architectural design and evaluation of an efficient Web-crawling system.
J. Syst. Softw., 2002

Cluster file systems: a case study.
Future Gener. Comput. Syst., 2002

Multi-Dimensional Regression Analysis of Time-Series Data Streams.
Proceedings of 28th International Conference on Very Large Data Bases, 2002

CubeExplorer: online exploration of data cubes.
Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002

Mining Top-K Frequent Closed Patterns without Minimum Support.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Online Analytical Processing Stream Data: Is It Feasible?
Proceedings of the 2002 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2002

2001
Improved Relevance Ranking in WebGather.
J. Comput. Sci. Technol., 2001

Web search engine: Characteristics of user behaviors and their implication.
Sci. China Ser. F Inf. Sci., 2001

1999
Cooperative Cache Management in S2FS.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999

1997
Architectual Implications of the NAS MG and FT Parallel Benchmarks.
Proceedings of the 1997 Advances in Parallel and Distributed Computing Conference (APDC '97), 1997


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