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Yajing Zheng
ORCID
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 15
Top Topics
Neural Network
Random Fields
Learning Rules
Spike Trains
Top Venues
CoRR
Neural Networks
IEEE Trans. Cybern.
IEEE Trans. Neural Networks Learn. Syst.
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Publications
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Yajing Zheng
,
Jiyuan Zhang
,
Rui Zhao
,
Jianhao Ding
,
Shiyan Chen
,
Ruiqin Xiong
,
Zhaofei Yu
,
Tiejun Huang
SpikeCV: Open a Continuous Computer Vision Era.
CoRR
(2023)
Yajing Zheng
,
Zhaofei Yu
,
Song Wang
,
Tie-Jun Huang
Spike-Based Motion Estimation for Object Tracking Through Bio-Inspired Unsupervised Learning.
IEEE Trans. Image Process.
32 (2023)
Yajing Zheng
,
Lingxiao Zheng
,
Zhaofei Yu
,
Tie-Jun Huang
,
Song Wang
Capture the Moment: High-Speed Imaging With Spiking Cameras Through Short-Term Plasticity.
IEEE Trans. Pattern Anal. Mach. Intell.
45 (7) (2023)
Jiyuan Zhang
,
Shiyan Chen
,
Yajing Zheng
,
Zhaofei Yu
,
Tiejun Huang
Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views.
CoRR
(2023)
Shiyan Chen
,
Jiyuan Zhang
,
Yajing Zheng
,
Tiejun Huang
,
Zhaofei Yu
Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams.
NeurIPS
(2023)
Qi Yan
,
Yajing Zheng
,
Shanshan Jia
,
Yichen Zhang
,
Zhaofei Yu
,
Feng Chen
,
Yonghong Tian
,
Tiejun Huang
,
Jian K. Liu
Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks.
IEEE Trans. Cybern.
52 (1) (2022)
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
1000x Faster Camera and Machine Vision with Ordinary Devices.
CoRR
(2022)
Yajing Zheng
,
Lingxiao Zheng
,
Zhaofei Yu
,
Boxin Shi
,
Yonghong Tian
,
Tiejun Huang
High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras.
CVPR
(2021)
Yajing Zheng
,
Shanshan Jia
,
Zhaofei Yu
,
Jian K. Liu
,
Tiejun Huang
Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks.
Patterns
2 (10) (2021)
Yajing Zheng
,
Shanshan Jia
,
Zhaofei Yu
,
Tiejun Huang
,
Jian K. Liu
,
Yonghong Tian
Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation.
Neural Networks
126 (2020)
Yichen Zhang
,
Shanshan Jia
,
Yajing Zheng
,
Zhaofei Yu
,
Yonghong Tian
,
Siwei Ma
,
Tiejun Huang
,
Jian K. Liu
Reconstruction of natural visual scenes from neural spikes with deep neural networks.
Neural Networks
125 (2020)
Yichen Zhang
,
Shanshan Jia
,
Yajing Zheng
,
Zhaofei Yu
,
Yonghong Tian
,
Tiejun Huang
,
Jian K. Liu
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks.
CoRR
(2019)
Yajing Zheng
,
Zhaofei Yu
,
Shanshan Jia
,
Jian K. Liu
,
Tiejun Huang
,
Yonghong Tian
Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation.
CoRR
(2019)
Yajing Zheng
,
Shixin Li
,
Rui Yan
,
Huajin Tang
,
Kay Chen Tan
Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons.
IEEE Trans. Neural Networks Learn. Syst.
29 (12) (2018)
Qi Yan
,
Yajing Zheng
,
Shanshan Jia
,
Yichen Zhang
,
Zhaofei Yu
,
Feng Chen
,
Yonghong Tian
,
Tiejun Huang
,
Jian K. Liu
Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks.
CoRR
(2018)