Can Sentiment Analysis Help Mimic Decision-Making Process of Loan Granting? A Novel Credit Risk Evaluation Approach Using GMKL Model. - Dailing Zhang; Wei Xu 008; Yingqiu Zhu; Xinwei Zhang (HICSS, 2015)

How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show. - Danhuai Guo; Yingqiu Zhu; Wei Xu 008; Yong Ge; Yuanchun Zhou; Jianhui Li (ICDM Workshops, 2015)

Species Distribution Modeling via Spatial Bagging of Multiple Conditional Random Fields. - Danhuai Guo; Yuanchun Zhou; Yingqiu Zhu; Jianhui Li (DASFAA (2), 2016)

How to find environmental risk factors of zoonotic infectious disease quickly. - Yingqiu Zhu; Danhuai Guo; Deqiang Wang; Jianhui Li (EM-GIS, 2016)

How to find appropriate automobile exhibition halls: Towards a personalized recommendation service for auto show. - Danhuai Guo; Yingqiu Zhu; Wei Xu 008; Shuo Shang; Zhiming Ding (Neurocomputing, 2016)

VAST Challenge 2017: Mini-challenge 1. - Shu Zhang; Danhuai Guo; Yingqiu Zhu; Deqiang Wang (VAST, 2017)

OSCAR: a framework to integrate spatial computing ability and data aggregation for emergency management of public health. - Danhuai Guo; Yingqiu Zhu; Wenwu Yin (GeoInformatica, 2018)

Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation. - Yingqiu Zhu; Yu Chen; Danyang Huang; Bo Zhang; Hansheng Wang (CoRR, 2020)

Link prediction combining network structure and topic distribution in large-scale directed network. - Yingqiu Zhu; Danyang Huang; Wei Xu 008; Bo Zhang (J. Organ. Comput. Electron. Commer., 2020)

Subsampling Spectral Clustering for Large-Scale Social Networks. - Jiayi Deng; Yi Ding; Yingqiu Zhu; Danyang Huang; Bingyi Jing; Bo Zhang (CoRR, 2021)

Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data. - Feifei Wang; Yingqiu Zhu; Danyang Huang; Haobo Qi; Hansheng Wang 002 (Comput. Stat. Data Anal., 2021)

Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation. - Yingqiu Zhu; Danyang Huang; Yuan Gao 026; Rui Wu; Yu Chen; Bo Zhang; Hansheng Wang 002 (Neural Networks, 2021)

Improved Naive Bayes with Mislabeled Data. - Qianhan Zeng; Yingqiu Zhu; Xuening Zhu; Feifei Wang; Weichen Zhao; Shuning Sun; Meng Su; Hansheng Wang (CoRR, 2023)

A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint. - Rui Pan 004; Yingqiu Zhu; Baishan Guo; Xuening Zhu; Hansheng Wang 002 (IEEE Trans. Knowl. Data Eng., 2023)

A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques. - Xuetong Li; Yuan Gao 026; Hong Chang; Danyang Huang; Yingying Ma; Rui Pan 004; Haobo Qi; Feifei Wang; Shuyuan Wu; Ke Xu; Jing Zhou; Xuening Zhu; et al. (CoRR, 2024)

Subsampling spectral clustering for stochastic block models in large-scale networks. - Jiayi Deng; Danyang Huang; Yi Ding; Yingqiu Zhu; Bingyi Jing; Bo Zhang (Comput. Stat. Data Anal., 2024)

A Wasserstein distance-based spectral clustering method for transaction data analysis. - Yingqiu Zhu; Danyang Huang; Bo Zhang (Expert Syst. Appl., 2025)

Naïve Bayes classifier based on reliability measurement for datasets with noisy labels. - Yingqiu Zhu; Yinzhi Wang; Lei Qin; Bo Zhang; Ben-Chang Shia; Mingchih Chen (Ann. Oper. Res., 2025)

CluBear: a subsampling package for interactive statistical analysis with massive data on a single machine. - Ke Xu; Yingqiu Zhu; Yijing Liu; Hansheng Wang (Commun. Stat. Simul. Comput., 2025)