| Reconstruction of natural visual scenes from neural spikes with deep neural networks Y Zhang, S Jia, Y Zheng, Z Yu, Y Tian, S Ma, T Huang, JK Liu Neural Networks 125, 19-30, 2020 | 46 | 2020 |
| 1000× faster camera and machine vision with ordinary devices T Huang, Y Zheng, Z Yu, R Chen, Y Li, R Xiong, L Ma, J Zhao, S Dong, ... Engineering 25, 110-119, 2023 | 42 | 2023 |
| Toward the next generation of retinal neuroprosthesis: Visual computation with spikes Z Yu, JK Liu, S Jia, Y Zhang, Y Zheng, Y Tian, T Huang Engineering 6 (4), 449-461, 2020 | 41 | 2020 |
| MATRIEX imaging: multiarea two-photon real-time in vivo explorer M Yang, Z Zhou, J Zhang, S Jia, T Li, J Guan, X Liao, B Leng, J Lyu, ... Light: Science & Applications 8 (1), 109, 2019 | 32 | 2019 |
| Revealing fine structures of the retinal receptive field by deep-learning networks Q Yan, Y Zheng, S Jia, Y Zhang, Z Yu, F Chen, Y Tian, T Huang, JK Liu IEEE transactions on cybernetics 52 (1), 39-50, 2020 | 30 | 2020 |
| Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks Y Zheng, S Jia, Z Yu, JK Liu, T Huang Patterns 2 (10), 2021 | 27 | 2021 |
| Representation of job-skill in artificial intelligence with knowledge graph analysis S Jia, X Liu, P Zhao, C Liu, L Sun, T Peng 2018 IEEE symposium on product compliance engineering-asia (ISPCE-CN), 1-6, 2018 | 22 | 2018 |
| Neural system identification with spike-triggered non-negative matrix factorization S Jia, Z Yu, A Onken, Y Tian, T Huang, JK Liu IEEE Transactions on Cybernetics 52 (6), 4772-4783, 2021 | 15 | 2021 |
| Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation Y Zheng, S Jia, Z Yu, T Huang, JK Liu, Y Tian Neural networks 126, 42-51, 2020 | 10 | 2020 |
| Intrinsic and synaptic properties shaping diverse behaviors of neural dynamics L An, Y Tang, D Wang, S Jia, Q Pei, Q Wang, Z Yu, JK Liu Frontiers in Computational Neuroscience 14, 26, 2020 | 8 | 2020 |
| Dissecting cascade computational components in spiking neural networks S Jia, D Xing, Z Yu, JK Liu PLoS Computational Biology 17 (11), e1009640, 2021 | 6 | 2021 |
| Representing the dynamics of high-dimensional data with non-redundant wavelets S Jia, X Li, T Huang, JK Liu, Z Yu Patterns 3 (3), 2022 | 5 | 2022 |
| Network structure reconstruction with symmetry constraint Z Hang, P Dai, S Jia, Z Yu Chaos, Solitons & Fractals 139, 110287, 2020 | 5 | 2020 |
| Learning temporal-ordered representation for spike streams based on discrete wavelet transforms J Zhang, S Jia, Z Yu, T Huang Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 137-147, 2023 | 4 | 2023 |
| Characterizing neuronal circuits with spike-triggered non-negative matrix factorization S Jia, Z Yu, A Onken, Y Tian, T Huang, JK Liu arXiv preprint arXiv:1808.03958, 2018 | 4 | 2018 |
| 基于多特征多分类器集成的专利自动分类研究 贾杉杉， 刘畅， 孙连英， 刘小安， 彭涛 数据分析与知识发现 1 (8), 76-84, 2017 | 2 | 2017 |
| Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes Z Yu, T Bu, Y Zhang, S Jia, T Huang, JK Liu IEEE Transactions on Neural Networks and Learning Systems, 2024 | 1 | 2024 |
| Deep Learning for Visual Neuroprosthesis P Beech, S Jia, Z Yu, JK Liu arXiv preprint arXiv:2401.03639, 2024 | | 2024 |
| Protocol for dissecting cascade computational components in neural networks of a visual system S Jia, JK Liu, Z Yu STAR protocols 4 (4), 102722, 2023 | | 2023 |
| Assessment of visual function in blind mice and monkeys with subretinally implanted nanowire arrays as artificial photoreceptors R Yang, P Zhao, L Wang, C Feng, C Peng, Z Wang, Y Zhang, M Shen, ... Nature Biomedical Engineering, 1-22, 2023 | | 2023 |
Zhaofei YuPeking UniversityVerified email at pku.edu.cn
