Shanshan Qin

According to our database, Shanshan Qin authored at least 16 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Multi-Platform Multivariate Regression with Group Sparsity for High-Dimensional Data Integration.

Shanshan Qin, Guanlin Zhang, Xin Gao, Yuehua Wu

Entropy, 2026

A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation.

Shanshan Qin, Joshua Pughe-Sanford, Alexander Genkin, Pembe Gizem Özdil, Philip Greengard, Anirvan M. Sengupta, Dmitri B. Chklovskii

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Correction: PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data.

Shanshan Qin, Zhenni Tan, Dongwei Wei, Yuehua Wu

Stat. Comput., June, 2025

PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data.

Shanshan Qin, Zhenni Tan, Weidong Wei, Yuehua Wu

Stat. Comput., April, 2025

Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity.

Shanshan Qin, Guanlin Zhang, Yuehua Wu, Zhongyi Zhu

Comput. Stat. Data Anal., 2025

2024

On robust estimation of hidden semi-Markov regime-switching models.

Shanshan Qin, Zhenni Tan, Yuehua Wu

Ann. Oper. Res., July, 2024

A new high-throughput screening methodology for the discovery of cancer-testis antigen using multi-omics data.

Dandan Li, Lingyun Xia, Xiangang Zhang, Yue Liu, Zidi Wang, Qiwei Guo, Pan Huang, Weidong Leng, Shanshan Qin

Comput. Methods Programs Biomed., 2024

2023

Change-Point Detection for Multi-Way Tensor-Based Frameworks.

Shanshan Qin, Ge Zhou, Yuehua Wu

Entropy, April, 2023

2022

Drifting neuronal representations: Bug or feature?

Paul Masset, Shanshan Qin, Jacob A. Zavatone-Veth

Biol. Cybern., 2022

Secure and efficient publicly verifiable ridge regression outsourcing scheme.

Ou Ruan, Shanshan Qin

Proceedings of the IEEE International Conference on Trust, 2022

2021

Contrastive Similarity Matching for Supervised Learning.

Shanshan Qin, Nayantara Mudur, Cengiz Pehlevan

Neural Comput., 2021

Asymptotic properties on high-dimensional multivariate regression M-estimation.

Hao Ding, Shanshan Qin, Yuehua Wu, Yaohua Wu

J. Multivar. Anal., 2021

Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses in Drosophila Olfactory System.

Yuxuan Liu, Qianyi Li, Chao Tang, Shanshan Qin, Yuhai Tu

Frontiers Comput. Neurosci., 2021

2020

General matching quantiles M-estimation.

Shanshan Qin, Yuehua Wu

Comput. Stat. Data Anal., 2020

Supervised Deep Similarity Matching.

Shanshan Qin, Nayantara Mudur, Cengiz Pehlevan

CoRR, 2020

2012

The Study of Item Selection Method in CAT.

Peng Lu, Dongdai Zhou, Shanshan Qin, Xiao Cong, Shaochun Zhong

Proceedings of the Computational Intelligence and Intelligent Systems, 2012