Hanqing Hu

According to our database1, Hanqing Hu authored at least 17 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Explainable data stream mining: Why the new models are better.
Intell. Decis. Technol., 2024

2023
MPCNet: Improved MeshSegNet Based on Position Encoding and Channel Attention.
IEEE Access, 2023

An Interdisciplinary Approach to Misinformation and Concept Drift in Historical Cannabis Tweets.
Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

Research on Cesium Monomerization Algorithm for 3D Model from Oblique Photogrammetry.
Proceedings of the 5th International Conference on Robotics, 2023

2021
Heuristic ensemble for unsupervised detection of multiple types of concept drift in data stream classification.
Intell. Decis. Technol., 2021

2020
No Free Lunch Theorem for concept drift detection in streaming data classification: A review.
WIREs Data Mining Knowl. Discov., 2020

Fuzzy comprehensive evaluation on high-quality development of China's rural economy based on entropy weight.
J. Intell. Fuzzy Syst., 2020

2018
Finding Fuzzy Close Frequent Itemsets from Databases.
Proceedings of the 6th International Conference on Information Technology and Quantitative Management, 2018

A New Factor in the Effect of Crowdfunding Projects.
Proceedings of the 6th International Conference on Information Technology and Quantitative Management, 2018

A Graph Database of Yelp Dataset Challenge 2018 and Using Cypher for Basic Statistics and Graph Pattern Exploration.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Worker Filtering with Limited Supervision in Crowdsourcing Systems.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Detecting Different Types of Concept Drifts with Ensemble Framework.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Sliding Reservoir Approach for Delayed Labeling in Streaming Data Classification.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016
A grid density based framework for classifying streaming data in the presence of concept drift.
J. Intell. Inf. Syst., 2016

Smart Preprocessing Improves Data Stream Mining.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2014
An ensemble classification approach for handling spatio-temporal drifts in partially labeled data streams.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

2013
Selecting samples for labeling in unbalanced streaming data environments.
Proceedings of the XXIV International Symposium on Information, 2013


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