Yingqiu Zhu

22 papers Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A communication efficient boosting method for distributed spectral clustering.
Pattern Recognit.
Yingqiu Zhu, Danyang Huang
2026 J jnl
Bilateral matrix spatiotemporal autoregressive model.
Comput. Stat. Data Anal.
Lei Qin, Xiaomei Zhang, Yingqiu Zhu, Yang Chen, Ben-Chang Shia
2025 J jnl
A Wasserstein distance-based spectral clustering method for transaction data analysis.
Expert Syst. Appl.
Yingqiu Zhu, Danyang Huang, Bo Zhang
2025 J jnl
CluBear: a subsampling package for interactive statistical analysis with massive data on a single machine.
Commun. Stat. Simul. Comput.
Ke Xu, Yingqiu Zhu, Yijing Liu, Hansheng Wang
2025 J jnl
Naïve Bayes classifier based on reliability measurement for datasets with noisy labels.
Ann. Oper. Res.
Yingqiu Zhu, Yinzhi Wang, Lei Qin, Bo Zhang, Ben-Chang Shia, Mingchih Chen
2024 J jnl
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques.
CoRR
Xuetong Li, Yuan Gao, Hong Chang, Danyang Huang, Yingying Ma, Rui Pan, Haobo Qi, Feifei Wang, Shuyuan Wu, Ke Xu, Jing Zhou, Xuening Zhu, Yingqiu Zhu, Hansheng Wang
2024 J jnl
Subsampling spectral clustering for stochastic block models in large-scale networks.
Comput. Stat. Data Anal.
Jiayi Deng, Danyang Huang, Yi Ding, Yingqiu Zhu, Bingyi Jing, Bo Zhang
2023 J jnl
A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint.
IEEE Trans. Knowl. Data Eng.
Rui Pan, Yingqiu Zhu, Baishan Guo, Xuening Zhu, Hansheng Wang
2023 J jnl
CluBear: A Subsampling Package for Interactive Statistical Analysis with Massive Data on A Single Machine.
CoRR
Ke Xu, Yingqiu Zhu, Yijing Liu, Hansheng Wang
2023 J jnl
Improved Naive Bayes with Mislabeled Data.
CoRR
Qianhan Zeng, Yingqiu Zhu, Xuening Zhu, Feifei Wang, Weichen Zhao, Shuning Sun, Meng Su, Hansheng Wang
2021 J jnl
Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation.
Neural Networks
Yingqiu Zhu, Danyang Huang, Yuan Gao, Rui Wu, Yu Chen, Bo Zhang, Hansheng Wang
2021 J jnl
Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data.
Comput. Stat. Data Anal.
Feifei Wang, Yingqiu Zhu, Danyang Huang, Haobo Qi, Hansheng Wang
2021 J jnl
Subsampling Spectral Clustering for Large-Scale Social Networks.
CoRR
Jiayi Deng, Yi Ding, Yingqiu Zhu, Danyang Huang, Bingyi Jing, Bo Zhang
2020 J jnl
Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation.
CoRR
Yingqiu Zhu, Yu Chen, Danyang Huang, Bo Zhang, Hansheng Wang
2020 J jnl
Link prediction combining network structure and topic distribution in large-scale directed network.
J. Organ. Comput. Electron. Commer.
Yingqiu Zhu, Danyang Huang, Wei Xu, Bo Zhang
2018 J jnl
OSCAR: a framework to integrate spatial computing ability and data aggregation for emergency management of public health.
GeoInformatica
Danhuai Guo, Yingqiu Zhu, Wenwu Yin
2017 — conf
VAST Challenge 2017: Mini-challenge 1.
VAST
Shu Zhang, Danhuai Guo, Yingqiu Zhu, Deqiang Wang
2016 J jnl
How to find appropriate automobile exhibition halls: Towards a personalized recommendation service for auto show.
Neurocomputing
Danhuai Guo, Yingqiu Zhu, Wei Xu, Shuo Shang, Zhiming Ding
2016 — conf
How to find environmental risk factors of zoonotic infectious disease quickly.
EM-GIS
Yingqiu Zhu, Danhuai Guo, Deqiang Wang, Jianhui Li
2016 — conf
Species Distribution Modeling via Spatial Bagging of Multiple Conditional Random Fields.
DASFAA (2)
Danhuai Guo, Yuanchun Zhou, Yingqiu Zhu, Jianhui Li
2015 — conf
Can Sentiment Analysis Help Mimic Decision-Making Process of Loan Granting? A Novel Credit Risk Evaluation Approach Using GMKL Model.
HICSS
Dailing Zhang, Wei Xu, Yingqiu Zhu, Xinwei Zhang
2015 — conf
How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show.
ICDM Workshops
Danhuai Guo, Yingqiu Zhu, Wei Xu, Yong Ge, Yuanchun Zhou, Jianhui Li