Shanshan Jia

Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation

Tiejun Huang, Yonghong Tian, Zhaofei Yu, 2020, Neural Networks.

The Segmentation and Adherence Separation Algorithm of Cotton Fiber

Dong Wang, Shanshan Jia, Li Yao, 2014 .

A Parallel Approach for Frequent Subgraph Mining in a Single Large Graph Using Spark

Hui Wang, Xin Zhang, Zhaoyun Ding, 2018 .

Patent Classification Based on Multi-feature and Multi-classifier Integration

Lianying Sun, Chang Liu, Shanshan Jia, 2017 .

Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks

Tiejun Huang, Yonghong Tian, Yichen Zhang, 2019, Neural Networks.

Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization pdf

Tiejun Huang, Yonghong Tian, Zhaofei Yu, 2018, ArXiv.

Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks

Tiejun Huang, Yonghong Tian, Qi Yan, 2020, IEEE transactions on cybernetics.

Edge Detection Algorithm Based on Grey System Theory Combined with Directed Graph

Dong Wang, Yan Wan, Shanshan Jia, 2013, 2013 Seventh International Conference on Image and Graphics.

Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization

Tiejun Huang, Zhaofei Yu, Jian K. Liu, 2018, IEEE Transactions on Cybernetics.