| How to find appropriate automobile exhibition halls: Towards a personalized recommendation service for auto show D Guo, Y Zhu, W Xu, S Shang, Z Ding Neurocomputing 213, 95-101, 2016 | 36 | 2016 |
| Can sentiment analysis help mimic decision-making process of loan granting? A novel credit risk evaluation approach using GMKL model D Zhang, W Xu, Y Zhu, X Zhang 2015 48th Hawaii International Conference on System Sciences, 949-958, 2015 | 14 | 2015 |
| OSCAR: a framework to integrate spatial computing ability and data aggregation for emergency management of public health D Guo, Y Zhu, W Yin GeoInformatica 22 (2), 383-410, 2018 | 12 | 2018 |
| Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation Y Zhu, D Huang, Y Gao, R Wu, Y Chen, B Zhang, H Wang Neural Networks 141, 11-29, 2021 | 7 | 2021 |
| Social embeddedness and customer-generated content: The moderation effect of employee participation G Li, X Yang, W Xu, Y Zhu Journal of Electronic Commerce Research 18 (3), 245, 2017 | 7 | 2017 |
| Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data F Wang, Y Zhu, D Huang, H Qi, H Wang Computational Statistics & Data Analysis 162, 107265, 2021 | 6 | 2021 |
| Link prediction combining network structure and topic distribution in large-scale directed network Y Zhu, D Huang, W Xu, B Zhang Journal of Organizational Computing and Electronic Commerce 30 (2), 169-185, 2020 | 6 | 2020 |
| A sequential addressing subsampling method for massive data analysis under memory constraint R Pan, Y Zhu, B Guo, X Zhu, H Wang IEEE Transactions on Knowledge and Data Engineering, 2023 | 4 | 2023 |
| Clustering based on Kolmogorov–Smirnov statistic with application to bank card transaction data Y Zhu, Q Deng, D Huang, B Jing, B Zhang Journal of the Royal Statistical Society Series C: Applied Statistics 70 (3 …, 2021 | 4 | 2021 |
| Efficient estimation for generalized linear models on a distributed system with nonrandomly distributed data F Wang, D Huang, Y Zhu, H Wang arXiv preprint arXiv:2004.02414, 2020 | 3 | 2020 |
| 基于大数据的文化遗产认知分析方法——以北京旧城中轴线为例 杨微石， 郭旦怀， 逯燕玲， 王德强， 朱映秋， 张宝秀 地理科学进展 36 (9), 1111-1118, 2017 | 3 | 2017 |
| Subsampling Spectral Clustering for Large-Scale Social Networks J Deng, Y Ding, Y Zhu, D Huang, B Jing, B Zhang arXiv preprint arXiv:2110.13613, 2021 | 2 | 2021 |
| Subsampling spectral clustering for stochastic block models in large-scale networks J Deng, D Huang, Y Ding, Y Zhu, B Jing, B Zhang Computational Statistics & Data Analysis 189, 107835, 2024 | 1 | 2024 |
| Mini-batch Gradient Descent with Buffer H Qi, D Huang, Y Zhu, D Huang, H Wang arXiv preprint arXiv:2312.08728, 2023 | 1 | 2023 |
| How to find environmental risk factors of zoonotic infectious disease quickly Y Zhu, D Guo, D Wang, J Li Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of …, 2016 | 1 | 2016 |
| Adaptively robust high-dimensional matrix factor analysis under Huber loss function Y Wang, Y Zhu, Q Sun, L Qin Journal of Statistical Planning and Inference 231, 106137, 2024 | | 2024 |
| A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques X Li, Y Gao, H Chang, D Huang, Y Ma, R Pan, H Qi, F Wang, S Wu, K Xu, ... Statistical Theory and Related Fields, 1-23, 2024 | | 2024 |
| CluBear: a subsampling package for interactive statistical analysis with massive data on a single machine K Xu, Y Zhu, Y Liu, H Wang Communications in Statistics-Simulation and Computation, 1-21, 2024 | | 2024 |
| Naïve Bayes classifier based on reliability measurement for datasets with noisy labels Y Zhu, Y Wang, L Qin, B Zhang, BC Shia, MC Chen Annals of Operations Research, 1-28, 2023 | | 2023 |
| Improved Naive Bayes with Mislabeled Data Q Zeng, Y Zhu, X Zhu, F Wang, W Zhao, S Sun, M Su, H Wang arXiv preprint arXiv:2304.06292, 2023 | | 2023 |
Hansheng WangGuanghua School of Management, Peking UniversityVerified email at gsm.pku.edu.cn
