Shanshan Jia - RankMe

22 papers A* 1Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	General Self-Prediction Enhancement for Spiking Neurons. CoRR Zihan Huang, Zijie Xu, Yihan Huang, Shanshan Jia, Tong Bu, Yiting Dong, Wenxuan Liu, Jianhao Ding, Zhaofei Yu, Tie-Jun Huang
2025	J	`jnl`	Corrigendum to "Implementing feature binding through dendritic networks of a single neuron" [Neural Networks(2025) 107555]. Neural Networks Yuanhong Tang, Shanshan Jia, Tiejun Huang, Zhaofei Yu, Jian K. Liu
2025	J	`jnl`	Decoding natural visual scenes via learnable representations of neural spiking sequences. Neural Networks Jing Peng, Shanshan Jia, Jiyuan Zhang, Yongxing Wang, Zhaofei Yu, Jian K. Liu
2025	J	`jnl`	Implementing feature binding through dendritic networks of a single neuron. Neural Networks Yuanhong Tang, Shanshan Jia, Tiejun Huang, Zhaofei Yu, Jian K. Liu
2025	J	`jnl`	Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes. IEEE Trans. Neural Networks Learn. Syst. Zhaofei Yu, Tong Bu, Yijun Zhang, Shanshan Jia, Tiejun Huang, Jian K. Liu
2024	J	`jnl`	Decoding dynamic visual scenes across the brain hierarchy. PLoS Comput. Biol. Ye Chen, Peter Beech, Ziwei Yin, Shanshan Jia, Jiayi Zhang, Zhaofei Yu, Jian K. Liu
2024	J	`jnl`	Deep Learning for Visual Neuroprosthesis. CoRR Peter Beech, Shanshan Jia, Zhaofei Yu, Jian K. Liu
2023	A*	`conf`	Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms. AAAI Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang
2022	J	`jnl`	1000x Faster Camera and Machine Vision with Ordinary Devices. CoRR Tiejun Huang, Yajing Zheng, Zhaofei Yu, Rui Chen, Yuan Li, Ruiqin Xiong, Lei Ma, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, Yonghong Tian
2022	J	`jnl`	Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization. IEEE Trans. Cybern. Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tie-Jun Huang, Jian K. Liu
2022	J	`jnl`	Representing the dynamics of high-dimensional data with non-redundant wavelets. Patterns Shanshan Jia, Xingyi Li, Tiejun Huang, Jian K. Liu, Zhaofei Yu
2022	J	`jnl`	Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks. IEEE Trans. Cybern. Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu
2022	J	`jnl`	Zooming in on the brain via data science. Patterns Shanshan Jia, Zhaofei Yu
2021	J	`jnl`	Dissecting cascade computational components in spiking neural networks. PLoS Comput. Biol. Shanshan Jia, Dajun Xing, Zhaofei Yu, Jian K. Liu
2021	J	`jnl`	Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks. Patterns Yajing Zheng, Shanshan Jia, Zhaofei Yu, Jian K. Liu, Tiejun Huang
2020	J	`jnl`	Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics. Frontiers Comput. Neurosci. Lingling An, Yuanhong Tang, Doudou Wang, Shanshan Jia, Qingqi Pei, Quan Wang, Zhaofei Yu, Jian K. Liu
2020	J	`jnl`	Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation. Neural Networks Yajing Zheng, Shanshan Jia, Zhaofei Yu, Tiejun Huang, Jian K. Liu, Yonghong Tian
2020	J	`jnl`	Reconstruction of natural visual scenes from neural spikes with deep neural networks. Neural Networks Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian K. Liu
2019	J	`jnl`	Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation. CoRR Yajing Zheng, Zhaofei Yu, Shanshan Jia, Jian K. Liu, Tiejun Huang, Yonghong Tian
2019	J	`jnl`	Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks. CoRR Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu
2018	J	`jnl`	Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization. CoRR Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu
2018	J	`jnl`	Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks. CoRR Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu