Hong Cheng
Orcid: 0000-0002-4673-2587Affiliations:
- 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 196 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on linkedin.com
-
on orcid.org
-
on dl.acm.org
On csauthors.net:
Bibliography
2024
Counter-Empirical Attacking Based on Adversarial Reinforcement Learning for Time-Relevant Scoring System.
IEEE Trans. Knowl. Data Eng., November, 2024
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
Proc. VLDB Endow., June, 2024
Adaptive Coordinators and Prompts on Heterogeneous Graphs for Cross-Domain Recommendations.
CoRR, 2024
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
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
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
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
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
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
Inf. Sci., May, 2023
IEEE Trans. Knowl. Data Eng., 2023
CoRR, 2023
A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers.
CoRR, 2023
Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
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
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
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
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
Revisiting k-Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses.
CoRR, 2021
CoRR, 2021
Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation.
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
Proc. VLDB Endow., 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
2019
Inf. Sci., 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
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
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
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
VLDB J., 2017
Distributed Parallel Databases, 2017
Integrating a weighted-average method into the random walk framework to generate individual friend recommendations.
Sci. China Inf. Sci., 2017
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
Proceedings of the Database Systems for Advanced Applications, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Knowl. Data Eng., 2016
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
Proceedings of the 2016 International Conference on Management of Data, 2016
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
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
IEEE Trans. Knowl. Data Eng., 2015
IEEE Trans. Knowl. Data Eng., 2015
IEEE Trans. Cybern., 2015
Proc. VLDB Endow., 2015
Int. J. Web Serv. Res., 2015
Inf. Sci., 2015
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
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015
2014
IEEE Trans. Knowl. Data Eng., 2014
IEEE Trans. Knowl. Data Eng., 2014
ACM Trans. Knowl. Discov. Data, 2014
Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations.
CoRR, 2014
Proceedings of the 23rd International World Wide Web Conference, 2014
Proceedings of the 23rd International World Wide Web Conference, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the International Conference on Management of Data, 2014
Proceedings of the International Conference on Management of Data, 2014
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
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
2013
CoRR, 2013
Predicting positive and negative links in signed social networks by transfer learning.
Proceedings of the 22nd International World Wide Web Conference, 2013
Proceedings of the Web-Age Information Management - 14th International Conference, 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
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
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
Proceedings of the Web-Age Information Management - 13th International Conference, 2012
Proceedings of the 20th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-20), 2012
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
Proceedings of the 15th International Conference on Extending Database Technology, 2012
Proceedings of the Database Systems for Advanced Applications, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
IEEE Trans. Knowl. Data Eng., 2011
Clustering Large Attributed Graphs: A Balance between Structural and Attribute Similarities.
ACM Trans. Knowl. Discov. Data, 2011
Proceedings of the Scientific and Statistical Database Management, 2011
Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the 13th IEEE International Symposium on High-Assurance Systems Engineering, 2011
Proceedings of the EDBT 2011, 2011
2010
ACM Trans. Inf. Syst., 2010
IEEE Trans. Knowl. Data Eng., 2010
Stat. Anal. Data Min., 2010
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Proceedings of the ICDM 2010, 2010
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010
2009
Proceedings of the Encyclopedia of Database Systems, 2009
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
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
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
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008
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
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
Proceedings of the 24th International Conference on Data Engineering, 2008
2007
Data Min. Knowl. Discov., 2007
Proceedings of the 23rd International Conference on Data Engineering, 2007
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
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
2005
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005
2004
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004