Zhaofei Yu

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 123

Top Venues

Publications

Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng
One Forward is Enough for Neural Network Training via Likelihood Ratio Method. ICLR (2024)
Junwei Zhao, Shiliang Zhang, Zhaofei Yu, Tiejun Huang
Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera. AAAI (2024)
Yaoyu Zhu, Jianhao Ding, Tiejun Huang, Xiaodong Xie, Zhaofei Yu
Online Stabilization of Spiking Neural Networks. ICLR (2024)
Zhipeng Huang, Jianhao Ding, Zhiyu Pan, Haoran Li, Ying Fang, Zhaofei Yu, Jian K. Liu
Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs. CoRR (2024)
Baoyue Zhang, Yajing Zheng, Shiyan Chen, Jiyuan Zhang, Kang Chen, Zhaofei Yu, Tiejun Huang
SpikeMM: Flexi-Magnification of High-Speed Micro-Motions. CoRR (2024)
Penglin Dai, Yaorong Huang, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu
Meta Reinforcement Learning for Multi-Task Offloading in Vehicular Edge Computing. IEEE Trans. Mob. Comput. 23 (3) (2024)
Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tie-Jun Huang, Zhaofei Yu
Enhancing Adversarial Robustness in SNNs with Sparse Gradients. CoRR (2024)
Kang Chen, Shiyan Chen, Jiyuan Zhang, Baoyue Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams. CoRR (2024)
Lihao Wang, Zhaofei Yu
Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks. CoRR (2024)
Rui Zhao, Ruiqin Xiong, Jian Zhang, Xinfeng Zhang, Zhaofei Yu, Tiejun Huang
Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion. AAAI (2024)
Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang
Threaten Spiking Neural Networks through Combining Rate and Temporal Information. ICLR (2024)
Hong You, Xian Zhong, Wenxuan Liu, Qi Wei, Wenxin Huang, Zhaofei Yu, Tiejun Huang
Converting Artificial Neural Networks to Ultralow-Latency Spiking Neural Networks for Action Recognition. IEEE Trans. Cogn. Dev. Syst. 16 (4) (2024)
Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework. ICLR (2024)
Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tie-Jun Huang
Robust Stable Spiking Neural Networks. CoRR (2024)
Zecheng Hao, Xinyu Shi, Zihan Huang, Tong Bu, Zhaofei Yu, Tiejun Huang
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model. ICLR (2024)
Rui Zhao, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Shuyuan Zhu, Lei Ma, Tiejun Huang
Spike Camera Image Reconstruction Using Deep Spiking Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 34 (6) (2024)
Peter Beech, Shanshan Jia, Zhaofei Yu, Jian K. Liu
Deep Learning for Visual Neuroprosthesis. CoRR (2024)
Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms. AAAI (2024)
Zecheng Hao, Xinyu Shi, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model. CoRR (2024)
Xinyu Shi, Zecheng Hao, Zhaofei Yu
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks. CoRR (2024)
Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang
Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera. AAAI (2024)
Jiyuan Zhang, Kang Chen, Shiyan Chen, Yajing Zheng, Tie-Jun Huang, Zhaofei Yu
SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion. CoRR (2024)
Zexiang Yi, Jing Lian, Yunliang Qi, Zhaofei Yu, Huajin Tang, Yide Ma, Jizhao Liu
Deep Pulse-Coupled Neural Networks. CoRR (2024)
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)
Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu
Reducing ANN-SNN Conversion Error through Residual Membrane Potential. AAAI (2023)
Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
A Unified Framework for Soft Threshold Pruning. CoRR (2023)
Siqi Yang, Xuanning Cui, Yongjie Zhu, Jiajun Tang, Si Li, Zhaofei Yu, Boxin Shi
Complementary Intrinsics from Neural Radiance Fields and CNNs for Outdoor Scene Relighting. CVPR (2023)
Shiyan Chen, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang
Exploring Asymmetric Tunable Blind-Spots for Self-supervised Denoising in Real-World Scenarios. CoRR (2023)
Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. ICLR (2023)
Bo Xiong, Changqing Su, Zihan Lin, You Zhou, Zhaofei Yu
INeAT: Iterative Neural Adaptive Tomography. CoRR (2023)
Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks. CVPR (2023)
Yaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang, Zhaofei Yu
Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks. NeurIPS (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)
Lujie Xia, Ziluo Ding, Rui Zhao, Jiyuan Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang, Ruiqin Xiong
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera. CoRR (2023)
Chenxiang Ma, Rui Yan, Zhaofei Yu, Qiang Yu
Deep Spike Learning With Local Classifiers. IEEE Trans. Cybern. 53 (5) (2023)
Jianing Li, Yihua Fu, Siwei Dong, Zhaofei Yu, Tie-Jun Huang, Yonghong Tian
Asynchronous Spatiotemporal Spike Metric for Event Cameras. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang
Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms. AAAI (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)
Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. CoRR (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)
Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu
Reducing ANN-SNN Conversion Error through Residual Membrane Potential. CoRR (2023)
Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. CoRR (2023)
Shiyan Chen, Zhaofei Yu, Tiejun Huang
Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera. AAAI (2023)
Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
A Unified Framework for Soft Threshold Pruning. ICLR (2023)
Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies. NeurIPS (2023)
Lujie Xia, Ziluo Ding, Rui Zhao, Jiyuan Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang, Ruiqin Xiong
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera. NeurIPS (2023)
Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng
Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method. CoRR (2023)
Yuanhong Tang, Xingyu Zhang, Lingling An, Zhaofei Yu, Jian K. Liu
Diverse role of NMDA receptors for dendritic integration of neural dynamics. PLoS Comput. Biol. 19 (4) (2023)
Shiyan Chen, Jiyuan Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu
Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams. NeurIPS (2023)
Zeliang Zhang, Jinyang Jiang, Minjie Chen, Zhiyuan Wang, Yijie Peng, Zhaofei Yu
A Novel Noise Injection-based Training Scheme for Better Model Robustness. CoRR (2023)
Junwei Zhao, Jianming Ye, Shiliang Zhang, Zhaofei Yu, Tiejun Huang
Recognizing High-Speed Moving Objects with Spike Camera. ACM Multimedia (2023)
Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu
Spike timing reshapes robustness against attacks in spiking neural networks. CoRR (2023)
Wei Fang, Zhaofei Yu, Zhaokun Zhou, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability. CoRR (2023)
Liwen Hu, LeiMa, Zhaofei Yu, Boxin Shi, Tiejun Huang
Spike Stream Denoising via Spike Camera Simulation. CoRR (2023)
Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. CoRR (2023)
Yijun Zhang, Tong Bu, Jiyuan Zhang, Shiming Tang, Zhaofei Yu, Jian K. Liu, Tiejun Huang
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex. Neural Comput. 34 (6) (2022)
Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang
Optimized Potential Initialization for Low-latency Spiking Neural Networks. CoRR (2022)
Yi-Jun Zhang, Zhaofei Yu, Jian K. Liu, Tie-Jun Huang
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches. Int. J. Autom. Comput. 19 (5) (2022)
Zongkai Liu, Penglin Dai, Huanlai Xing, Zhaofei Yu, Wei Zhang
A Distributed Algorithm for Task Offloading in Vehicular Networks With Hybrid Fog/Cloud Computing. IEEE Trans. Syst. Man Cybern. Syst. 52 (7) (2022)
Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tie-Jun Huang
Spike Transformer: Monocular Depth Estimation for Spiking Camera. ECCV (7) (2022)
Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. ICLR (2022)
Jing Zhao, Ruiqin Xiong, Jiyu Xie, Boxin Shi, Zhaofei Yu, Wen Gao, Tiejun Huang
Reconstructing Clear Image for High-Speed Motion Scene With a Retina-Inspired Spike Camera. IEEE Trans. Computational Imaging 8 (2022)
Junwei Zhao, Shiliang Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang
SpikingSIM: A Bio-Inspired Spiking Simulator. ISCAS (2022)
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)
Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks. ICML (2022)
Shanshan Jia, Zhaofei Yu
Zooming in on the brain via data science. Patterns 3 (3) (2022)
Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang
Optimized Potential Initialization for Low-Latency Spiking Neural Networks. AAAI (2022)
Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. AAAI (2022)
Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tie-Jun Huang, Jian K. Liu
Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization. IEEE Trans. Cybern. 52 (6) (2022)
Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian K. Liu
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training. NeurIPS (2022)
Shiyan Chen, Chaoteng Duan, Zhaofei Yu, Ruiqin Xiong, Tiejun Huang
Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera. IJCAI (2022)
Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Fei Teng, Zhaofei Yu
A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 23 (2) (2022)
Rui Zhao, Ruiqin Xiong, Jing Zhao, Zhaofei Yu, Xiaopeng Fan, Tiejun Huang
Learning Optical Flow from Continuous Spike Streams. NeurIPS (2022)
Keke Huang, Shuo Li, Wenfeng Deng, Zhaofei Yu, Lei Ma
Structure inference of networked system with the synergy of deep residual network and fully connected layer network. Neural Networks 145 (2022)
Chaoteng Duan, Jianhao Ding, Shiyan Chen, Zhaofei Yu, Tiejun Huang
Temporal Effective Batch Normalization in Spiking Neural Networks. NeurIPS (2022)
Junwei Zhao, Zhaofei Yu, Lei Ma, Ziluo Ding, Shiliang Zhang, Yonghong Tian, Tiejun Huang
Modeling The Detection Capability Of High-Speed Spiking Cameras. ICASSP (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)
Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier
Training Spiking Neural Networks with Event-driven Backpropagation. NeurIPS (2022)
Shanshan Jia, Xingyi Li, Tiejun Huang, Jian K. Liu, Zhaofei Yu
Representing the dynamics of high-dimensional data with non-redundant wavelets. Patterns 3 (3) (2022)
Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. CoRR (2021)
Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian
Deep Residual Learning in Spiking Neural Networks. NeurIPS (2021)
Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. ICCV (2021)
Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. IJCAI (2021)
Shanshan Jia, Dajun Xing, Zhaofei Yu, Jian K. Liu
Dissecting cascade computational components in spiking neural networks. PLoS Comput. Biol. 17 (11) (2021)
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)
Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. CoRR (2021)
Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. IJCAI (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)
Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu
Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks. INFOCOM (2021)
Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian
Spike-based Residual Blocks. CoRR (2021)
Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. CoRR (2021)
Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Tiejun Huang
Super Resolve Dynamic Scene from Continuous Spike Streams. ICCV (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)
Lingling An, Yuanhong Tang, Doudou Wang, Shanshan Jia, Qingqi Pei, Quan Wang, Zhaofei Yu, Jian K. Liu
Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics. Frontiers Comput. Neurosci. 14 (2020)
Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All. IEEE Trans. Cybern. 50 (3) (2020)
Keke Huang, Shuo Li, Penglin Dai, Zhen Wang, Zhaofei Yu
SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction. 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)
Penglin Dai, Zihua Hang, Kai Liu, Xiao Wu, Huanlai Xing, Zhaofei Yu, Victor Chung Sing Lee
Multi-Armed Bandit Learning for Computation-Intensive Services in MEC-Empowered Vehicular Networks. IEEE Trans. Veh. Technol. 69 (7) (2020)
Zhaofei Yu, Feng Chen, Jian K. Liu
Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks. IEEE Trans. Cogn. Dev. Syst. 12 (3) (2020)
Ying Fang, Zhaofei Yu, Jian K. Liu, Feng Chen
A unified neural circuit of causal inference and multisensory integration. Neurocomputing 358 (2019)

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Publication Activity (10 Years)

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Top Venues

Zhaofei Yu