Selecting samples for labeling in unbalanced streaming data environments. - Hanqing Hu; Mehmed M. Kantardzic; Tegjyot Singh Sethi (ICAT, 2013)

An ensemble classification approach for handling spatio-temporal drifts in partially labeled data streams. - Tegjyot Singh Sethi; Mehmed M. Kantardzic; Elaheh Arabmakki; Hanqing Hu (IRI, 2014)

Smart Preprocessing Improves Data Stream Mining. - Hanqing Hu; Mehmed M. Kantardzic (HICSS, 2016)

A grid density based framework for classifying streaming data in the presence of concept drift. - Tegjyot Singh Sethi; Mehmed M. Kantardzic; Hanqing Hu (J. Intell. Inf. Syst., 2016)

Sliding Reservoir Approach for Delayed Labeling in Streaming Data Classification. - Hanqing Hu; Mehmed M. Kantardzic (HICSS, 2017)

Detecting Different Types of Concept Drifts with Ensemble Framework. - Hanqing Hu; Mehmed M. Kantardzic; Lingyu Lyu (ICMLA, 2018)

Worker Filtering with Limited Supervision in Crowdsourcing Systems. - Lingyu Lyu; Mehmed M. Kantardzic; Hanqing Hu (ICMLA, 2018)

A Graph Database of Yelp Dataset Challenge 2018 and Using Cypher for Basic Statistics and Graph Pattern Exploration. - Michael Kronmueller; Dar-Jen Chang; Hanqing Hu; Ahmed Desoky (ISSPIT, 2018)

A New Factor in the Effect of Crowdfunding Projects. - Haifeng Li 006; Xiaohua Chen; Yuejin Zhang; Mo Hai; Hanqing Hu (ITQM, 2018)

Finding Fuzzy Close Frequent Itemsets from Databases. - Haifeng Li 006; Yuejin Zhang; Mo Hai; Hanqing Hu (ITQM, 2018)

Fuzzy comprehensive evaluation on high-quality development of China's rural economy based on entropy weight. - Hanqing Hu; Yu Ma; Sijian Wu (J. Intell. Fuzzy Syst., 2020)

No Free Lunch Theorem for concept drift detection in streaming data classification: A review. - Hanqing Hu; Mehmed M. Kantardzic; Tegjyot Singh Sethi (WIREs Data Mining Knowl. Discov., 2020)

Heuristic ensemble for unsupervised detection of multiple types of concept drift in data stream classification. - Hanqing Hu; Mehmed M. Kantardzic (Intell. Decis. Technol., 2021)

Research on Cesium Monomerization Algorithm for 3D Model from Oblique Photogrammetry. - Xinxin Du; Hongxia Cui; Yechen Yan; Hanqing Hu (RICAI, 2023)

An Interdisciplinary Approach to Misinformation and Concept Drift in Historical Cannabis Tweets. - Jason Turner; Macy McDonald; Hanqing Hu (ICSC, 2023)

MPCNet: Improved MeshSegNet Based on Position Encoding and Channel Attention. - Hanqing Hu; Zhengxun Li; Weichao Gao (IEEE Access, 2023)

DorPatch: Distributed and Occlusion-Robust Adversarial Patch to Evade Certifiable Defenses. - Chaoxiang He; Xiaojing Ma 002; Bin B. Zhu; Yimiao Zeng; Hanqing Hu; Xiaofan Bai; Hai Jin 001; Dongmei Zhang 001 (NDSS, 2024)

Explainable data stream mining: Why the new models are better. - Hanqing Hu; Mehmed M. Kantardzic; Shreyas Kar (Intell. Decis. Technol., 2024)

A stochastic gradient tracking algorithm with adaptive momentum for distributed optimization. - Yantao Li 001; Hanqing Hu; Keke Zhang; Qingguo Lü; Shaojiang Deng; Huaqing Li 001 (Neurocomputing, 2025)