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2020 – today
- 2025
[j8]Yingqiu Zhu
, Danyang Huang, Bo Zhang:
A Wasserstein distance-based spectral clustering method for transaction data analysis. Expert Syst. Appl. 260: 125418 (2025)- 2024
- [j7]Jiayi Deng, Danyang Huang, Yi Ding, Yingqiu Zhu, Bingyi Jing, Bo Zhang:
Subsampling spectral clustering for stochastic block models in large-scale networks. Comput. Stat. Data Anal. 189: 107835 (2024) - [i5]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:
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques. CoRR abs/2403.11163 (2024) - 2023
- [j6]Rui Pan, Yingqiu Zhu, Baishan Guo, Xuening Zhu, Hansheng Wang:
A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint. IEEE Trans. Knowl. Data Eng. 35(9): 9502-9513 (2023) - [i4]Qianhan Zeng, Yingqiu Zhu, Xuening Zhu, Feifei Wang, Weichen Zhao, Shuning Sun, Meng Su, Hansheng Wang:
Improved Naive Bayes with Mislabeled Data. CoRR abs/2304.06292 (2023) - [i3]Ke Xu, Yingqiu Zhu, Yijing Liu, Hansheng Wang:
CluBear: A Subsampling Package for Interactive Statistical Analysis with Massive Data on A Single Machine. CoRR abs/2312.17065 (2023) - 2021
- [j5]Feifei Wang, Yingqiu Zhu, Danyang Huang, Haobo Qi, Hansheng Wang:
Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data. Comput. Stat. Data Anal. 162: 107265 (2021) - [j4]Yingqiu Zhu, Danyang Huang, Yuan Gao, Rui Wu, Yu Chen, Bo Zhang, Hansheng Wang:
Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation. Neural Networks 141: 11-29 (2021) - [i2]Jiayi Deng, Yi Ding, Yingqiu Zhu, Danyang Huang, Bingyi Jing, Bo Zhang:
Subsampling Spectral Clustering for Large-Scale Social Networks. CoRR abs/2110.13613 (2021) - 2020
- [j3]Yingqiu Zhu, Danyang Huang, Wei Xu, Bo Zhang:
Link prediction combining network structure and topic distribution in large-scale directed network. J. Organ. Comput. Electron. Commer. 30(2): 169-185 (2020) - [i1]Yingqiu Zhu, Yu Chen, Danyang Huang, Bo Zhang, Hansheng Wang:
Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation. CoRR abs/2004.03260 (2020)
2010 – 2019
- 2018
- [j2]Danhuai Guo, Yingqiu Zhu, Wenwu Yin:
OSCAR: a framework to integrate spatial computing ability and data aggregation for emergency management of public health. GeoInformatica 22(2): 383-410 (2018) - 2017
- [c5]Shu Zhang, Danhuai Guo, Yingqiu Zhu, Deqiang Wang:
VAST Challenge 2017: Mini-challenge 1. VAST 2017: 249-250 - 2016
- [j1]Danhuai Guo, Yingqiu Zhu, Wei Xu, Shuo Shang, Zhiming Ding:
How to find appropriate automobile exhibition halls: Towards a personalized recommendation service for auto show. Neurocomputing 213: 95-101 (2016) - [c4]Danhuai Guo, Yuanchun Zhou, Yingqiu Zhu, Jianhui Li:
Species Distribution Modeling via Spatial Bagging of Multiple Conditional Random Fields. DASFAA (2) 2016: 437-450 - [c3]Yingqiu Zhu, Danhuai Guo, Deqiang Wang, Jianhui Li:
How to find environmental risk factors of zoonotic infectious disease quickly. EM-GIS 2016: 2:1-2:7 - 2015
- [c2]Dailing Zhang, Wei Xu, Yingqiu Zhu, Xinwei Zhang:
Can Sentiment Analysis Help Mimic Decision-Making Process of Loan Granting? A Novel Credit Risk Evaluation Approach Using GMKL Model. HICSS 2015: 949-958 - [c1]Danhuai Guo, Yingqiu Zhu, Wei Xu, Yong Ge, Yuanchun Zhou, Jianhui Li:
How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show. ICDM Workshops 2015: 1025-1030
Coauthor Index
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