Hao Huang

Orcid: 0000-0002-3777-1488

Affiliations:

Wuhan University, School of Computer Science, China

According to our database¹, Hao Huang authored at least 42 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2024

Towards Independence Criterion in Machine Unlearning of Features and Labels.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Learning Diffusions under Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-aspect Diffusion Network Inference.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

2022

Online Task Offloading for 5G Small Cell Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2022

Reconstructing Diffusion Networks from Incomplete Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Statistical Inference of Diffusion Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

An Improved KNN-Based Efficient Log Anomaly Detection Method with Automatically Labeled Samples.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Metric Learning via Penalized Optimization.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Diffusion Network Inference from Partial Observations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

LERI: Local Exploration for Rare-Category Identification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Statistical Estimation of Diffusion Network Topologies.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

From Code to Natural Language: Type-Aware Sketch-Based Seq2Seq Learning.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2020

2019

Which Category Is Better: Benchmarking the RDBMSs and GDBMSs.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

Learning Diffusions without Timestamps.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

MSQL+: a Plugin Toolkit for Similarity Search under Metric Spaces in Distributed Relational Database Systems.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Mining frequent subgraphs from tremendous amount of small graphs using MapReduce.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2018

Evaluation of local community metrics: from an experimental perspective.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2018

Efficient and Scalable Mining of Frequent Subgraphs Using Distributed Graph Processing Systems.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

2017

False data separation for data security in smart grids.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

A Prior-Free Spectrum Auction for Approximate Revenue Maximization.

[BibT_eX]

[DOI]

Comput. J., 2017

Group-Level Influence Maximization with Budget Constraint.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2017

2016

A formalized framework for incorporating expert labels in crowdsourcing environment.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2016

Mining Arbitrary Shaped Clusters and Outputting a High Quality Dendrogram.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2016

Modeling for Noisy Labels of Crowd Workers.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

Fast Rare Category Detection Using Nearest Centroid Neighborhood.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015

Rare Category Exploration on Linear Time Complexity.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2015

2014

Mining regional co-location patterns with kNNG.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2014

Toward seed-insensitive solutions to local community detection.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2014

Prior-free rare category detection: More effective and efficient solutions.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

Unsupervised analysis of top-k core members in poly-relational networks.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

Rare category exploration.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

Recovering Missing Labels of Crowdsourcing Workers.

[BibT_eX]

[DOI]

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Rare Category Detection on O(dN) Time Complexity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Learning from Crowds under Experts' Supervision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Towards effective and efficient mining of arbitrary shaped clusters.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013

CLOVER: a faster prior-free approach to rare-category detection.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2013

Browse with a social web directory.

[BibT_eX]

[DOI]

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Commodity query by snapping.

[BibT_eX]

[DOI]

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Discovery of Regional Co-location Patterns with <i>k</i>-Nearest Neighbor Graph.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

GMAC: A Seed-Insensitive Approach to Local Community Detection.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2013

2011

RADAR: Rare Category Detection via Computation of Boundary Degree.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Hao Huang

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