default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZhaofei Yu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j40]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): 1533-1545 (2024)- [j39]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): 5207-5212 (2024) - [j38]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): 2123-2138 (2024) - [c54]Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu:
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms. AAAI 2024: 492-502 - [c53]Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang:
Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera. AAAI 2024: 637-645 - [c52]Junwei Zhao, Shiliang Zhang, Zhaofei Yu, Tiejun Huang:
Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera. AAAI 2024: 7478-7486 - [c51]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: 7496-7504 - [c50]Shiyan Chen, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang:
Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios. CVPR 2024: 2814-2823 - [c49]Xinyu Shi, Zecheng Hao, Zhaofei Yu:
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks. CVPR 2024: 5610-5619 - [c48]Yanchen Dong, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang:
Super-Resolution Reconstruction from Bayer-Pattern Spike Streams. CVPR 2024: 24871-24880 - [c47]Rui Zhao, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Zhaofei Yu, Tiejun Huang:
Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations. CVPR 2024: 24955-24965 - [c46]Changqing Su, Zhiyuan Ye, Yongsheng Xiao, You Zhou, Zhen Cheng, Bo Xiong, Zhaofei Yu, Tiejun Huang:
Intensity-Robust Autofocus for Spike Camera. CVPR 2024: 25018-25027 - [c45]Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang:
Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment. CVPR 2024: 25047-25057 - [c44]Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng:
One Forward is Enough for Neural Network Training via Likelihood Ratio Method. ICLR 2024 - [c43]Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang:
Threaten Spiking Neural Networks through Combining Rate and Temporal Information. ICLR 2024 - [c42]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 - [c41]Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu:
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework. ICLR 2024 - [c40]Yaoyu Zhu, Jianhao Ding, Tiejun Huang, Xiaodong Xie, Zhaofei Yu:
Online Stabilization of Spiking Neural Networks. ICLR 2024 - [c39]Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang:
Robust Stable Spiking Neural Networks. ICML 2024 - [c38]Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu:
Enhancing Adversarial Robustness in SNNs with Sparse Gradients. ICML 2024 - [c37]Lihao Wang, Zhaofei Yu:
Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks. ICML 2024 - [i42]Peter Beech, Shanshan Jia, Zhaofei Yu, Jian K. Liu:
Deep Learning for Visual Neuroprosthesis. CoRR abs/2401.03639 (2024) - [i41]Zexiang Yi, Jing Lian, Yunliang Qi, Zhaofei Yu, Huajin Tang, Yide Ma, Jizhao Liu:
Deep Pulse-Coupled Neural Networks. CoRR abs/2401.08649 (2024) - [i40]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 abs/2402.00411 (2024) - [i39]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 abs/2403.09486 (2024) - [i38]Xinyu Shi, Zecheng Hao, Zhaofei Yu:
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks. CoRR abs/2403.14302 (2024) - [i37]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 abs/2404.17456 (2024) - [i36]Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tie-Jun Huang, Zhaofei Yu:
Enhancing Adversarial Robustness in SNNs with Sparse Gradients. CoRR abs/2405.20355 (2024) - [i35]Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tie-Jun Huang:
Robust Stable Spiking Neural Networks. CoRR abs/2405.20694 (2024) - [i34]Baoyue Zhang, Yajing Zheng, Shiyan Chen, Jiyuan Zhang, Kang Chen, Zhaofei Yu, Tiejun Huang:
SpikeMM: Flexi-Magnification of High-Speed Micro-Motions. CoRR abs/2406.00383 (2024) - [i33]Lihao Wang, Zhaofei Yu:
Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks. CoRR abs/2406.00405 (2024) - [i32]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 abs/2407.10062 (2024) - [i31]Tong Bu, Maohua Li, Zhaofei Yu:
Training-free Conversion of Pretrained ANNs to SNNs for Low-Power and High-Performance Applications. CoRR abs/2409.03368 (2024) - [i30]Xian Zhong, Shengwang Hu, Wenxuan Liu, Wenxin Huang, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks. CoRR abs/2409.12507 (2024) - 2023
- [j37]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): 8127-8142 (2023) - [j36]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) - [j35]Chenxiang Ma, Rui Yan, Zhaofei Yu, Qiang Yu:
Deep Spike Learning With Local Classifiers. IEEE Trans. Cybern. 53(5): 3363-3375 (2023) - [j34]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: 335-349 (2023) - [j33]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): 1742-1753 (2023) - [c36]Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu:
Reducing ANN-SNN Conversion Error through Residual Membrane Potential. AAAI 2023: 11-21 - [c35]Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang:
Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms. AAAI 2023: 137-147 - [c34]Shiyan Chen, Zhaofei Yu, Tiejun Huang:
Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera. AAAI 2023: 350-358 - [c33]Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu:
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks. CVPR 2023: 7896-7906 - [c32]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: 16600-16609 - [c31]Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian:
A Unified Framework for Soft Threshold Pruning. ICLR 2023 - [c30]Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu:
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. ICLR 2023 - [c29]Junwei Zhao, Jianming Ye, Shiliang Zhang, Zhaofei Yu, Tiejun Huang:
Recognizing High-Speed Moving Objects with Spike Camera. ACM Multimedia 2023: 7657-7665 - [c28]Shiyan Chen, Jiyuan Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu:
Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams. NeurIPS 2023 - [c27]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 - [c26]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 - [c25]Yaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang, Zhaofei Yu:
Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks. NeurIPS 2023 - [i29]Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu:
Reducing ANN-SNN Conversion Error through Residual Membrane Potential. CoRR abs/2302.02091 (2023) - [i28]Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu:
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. CoRR abs/2302.10685 (2023) - [i27]Zeliang Zhang, Jinyang Jiang, Minjie Chen, Zhiyuan Wang, Yijie Peng, Zhaofei Yu:
A Novel Noise Injection-based Training Scheme for Better Model Robustness. CoRR abs/2302.10802 (2023) - [i26]Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian:
A Unified Framework for Soft Threshold Pruning. CoRR abs/2302.13019 (2023) - [i25]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 abs/2303.04347 (2023) - [i24]Yajing Zheng, Jiyuan Zhang, Rui Zhao, Jianhao Ding, Shiyan Chen, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang:
SpikeCV: Open a Continuous Computer Vision Era. CoRR abs/2303.11684 (2023) - [i23]Shiyan Chen, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang:
Exploring Asymmetric Tunable Blind-Spots for Self-supervised Denoising in Real-World Scenarios. CoRR abs/2303.16783 (2023) - [i22]Liwen Hu, Lei Ma, Zhaofei Yu, Boxin Shi, Tiejun Huang:
Spike Stream Denoising via Spike Camera Simulation. CoRR abs/2304.03129 (2023) - [i21]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 abs/2304.12760 (2023) - [i20]Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng:
Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method. CoRR abs/2305.08960 (2023) - [i19]Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu:
Spike timing reshapes robustness against attacks in spiking neural networks. CoRR abs/2306.05654 (2023) - [i18]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 abs/2307.00821 (2023) - [i17]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 abs/2307.06003 (2023) - [i16]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 abs/2310.16620 (2023) - [i15]Bo Xiong, Changqing Su, Zihan Lin, You Zhou, Zhaofei Yu:
INeAT: Iterative Neural Adaptive Tomography. CoRR abs/2311.01653 (2023) - 2022
- [j32]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): 350-365 (2022) - [j31]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): 1369-1397 (2022) - [j30]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: 288-299 (2022) - [j29]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): 100424 (2022) - [j28]Shanshan Jia, Zhaofei Yu:
Zooming in on the brain via data science. Patterns 3(3): 100463 (2022) - [j27]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: 12-27 (2022) - [j26]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): 39-50 (2022) - [j25]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): 4772-4783 (2022) - [j24]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): 899-911 (2022) - [j23]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): 4388-4401 (2022) - [c24]Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Optimized Potential Initialization for Low-Latency Spiking Neural Networks. AAAI 2022: 11-20 - [c23]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: 525-533 - [c22]Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tie-Jun Huang:
Spike Transformer: Monocular Depth Estimation for Spiking Camera. ECCV (7) 2022: 34-52 - [c21]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: 4653-4657 - [c20]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 - [c19]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: 3701-3715 - [c18]Shiyan Chen, Chaoteng Duan, Zhaofei Yu, Ruiqin Xiong, Tiejun Huang:
Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera. IJCAI 2022: 2859-2866 - [c17]Junwei Zhao, Shiliang Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang:
SpikingSIM: A Bio-Inspired Spiking Simulator. ISCAS 2022: 3003-3007 - [c16]Rui Zhao, Ruiqin Xiong, Jing Zhao, Zhaofei Yu, Xiaopeng Fan, Tiejun Huang:
Learning Optical Flow from Continuous Spike Streams. NeurIPS 2022 - [c15]Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian K. Liu:
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training. NeurIPS 2022 - [c14]Chaoteng Duan, Jianhao Ding, Shiyan Chen, Zhaofei Yu, Tiejun Huang:
Temporal Effective Batch Normalization in Spiking Neural Networks. NeurIPS 2022 - [c13]Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier:
Training Spiking Neural Networks with Event-driven Backpropagation. NeurIPS 2022 - [i14]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 abs/2201.09302 (2022) - [i13]Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Optimized Potential Initialization for Low-latency Spiking Neural Networks. CoRR abs/2202.01440 (2022) - 2021
- [j22]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): 100350 (2021) - [j21]Shanshan Jia, Dajun Xing, Zhaofei Yu, Jian K. Liu:
Dissecting cascade computational components in spiking neural networks. PLoS Comput. Biol. 17(11) (2021) - [c12]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: 6358-6367 - [c11]Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Tiejun Huang:
Super Resolve Dynamic Scene from Continuous Spike Streams. ICCV 2021: 2513-2522 - [c10]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: 2641-2651 - [c9]Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian:
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. IJCAI 2021: 1713-1721 - [c8]Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang:
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. IJCAI 2021: 2328-2336 - [c7]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: 1-10 - [c6]Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian:
Deep Residual Learning in Spiking Neural Networks. NeurIPS 2021: 21056-21069 - [i12]Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian:
Spike-based Residual Blocks. CoRR abs/2102.04159 (2021) - [i11]Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian:
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. CoRR abs/2105.04916 (2021) - [i10]Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang:
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. CoRR abs/2105.11654 (2021) - [i9]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 abs/2109.04871 (2021) - 2020
- [j20]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: 26 (2020) - [j19]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: 19-30 (2020) - [j18]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: 42-51 (2020) - [j17]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: 143-152 (2020) - [j16]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): 497-510 (2020) - [j15]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): 1347-1354 (2020) - [j14]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): 7821-7834 (2020)
2010 – 2019
- 2019
- [j13]Xueqing Zhao, Xin Shi, Bo Yang, Quanli Gao, Zhaofei Yu, Jian K. Liu, Yonghong Tian, Tiejun Huang:
Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor. IEEE Access 7: 157341-157352 (2019) - [j12]Ying Fang, Zhaofei Yu, Jian K. Liu, Feng Chen:
A unified neural circuit of causal inference and multisensory integration. Neurocomputing 358: 355-368 (2019) - [j11]Penglin Dai, Kai Liu, Xiao Wu, Zhaofei Yu, Huanlai Xing, Victor Chung Sing Lee:
Cooperative Temporal Data Dissemination in SDN-Based Heterogeneous Vehicular Networks. IEEE Internet Things J. 6(1): 72-83 (2019) - [j10]Kong Ye, Penglin Dai, Xiao Wu, Yan Ding, Huanlai Xing, Zhaofei Yu:
Bandwidth-Aware Traffic Sensing in Vehicular Networks with Mobile Edge Computing. Sensors 19(16): 3547 (2019) - [j9]Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, Feng Chen:
Hierarchical Bayesian Inference and Learning in Spiking Neural Networks. IEEE Trans. Cybern. 49(1): 133-145 (2019) - [c5]Ying Fang, Zhaofei Yu, Feng Chen:
Noise helps optimization escape from saddle points in the neural dynamics. ESANN 2019 - [c4]Penglin Dai, Kai Liu, Xiao Wu, Huanlai Xing, Zhaofei Yu, Victor C. S. Lee:
A Learning Algorithm for Real-Time Service in Vehicular Networks with Mobile-Edge Computing. ICC 2019: 1-6 - [c3]Jianing Li, Siwei Dong, Zhaofei Yu, Yonghong Tian, Tiejun Huang:
Event-Based Vision Enhanced: A Joint Detection Framework in Autonomous Driving. ICME 2019: 1396-1401 - [i8]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 abs/1902.08411 (2019) - [i7]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 abs/1904.13007 (2019) - 2018
- [j8]Keke Huang, Xiaofang Chen, Zhaofei Yu, Chunhua Yang, Weihua Gui:
Heterogeneous cooperative belief for social dilemma in multi-agent system. Appl. Math. Comput. 320: 572-579 (2018) - [j7]Xueqing Zhao, Keke Huang, Xiaoming Wang, Meihong Shi, Xinjuan Zhu, Quanli Gao, Zhaofei Yu:
Reaction-diffusion equation based image restoration. Appl. Math. Comput. 338: 588-606 (2018) - [j6]Wenfeng Deng, Keke Huang, Chunhua Yang, Hongqiu Zhu, Zhaofei Yu:
Promote of cooperation in networked multiagent system based on fitness control. Appl. Math. Comput. 339: 805-811 (2018) - [j5]Fei Deng, Jianwu Dong, Xiangyu Wang, Ying Fang, Yu Liu, Zhaofei Yu, Jing Liu, Feng Chen:
Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor. IEEE Trans. Instrum. Meas. 67(7): 1555-1563 (2018) - [j4]Zhaofei Yu, Feng Chen, Fei Deng:
Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5761-5766 (2018) - [c2]Penglin Dai, Kai Liu, Ke Xiao, Junhua Wang, Zhaofei Yu, Huanlai Xing:
An Adaptive Task Assignment Scheme for Data Service in Heterogeneous Vehicular Networks. NAS 2018: 1-4 - [c1]Zhaofei Yu, Tiejun Huang, Jian K. Liu:
Implementation of Bayesian Inference In Distributed Neural Networks. PDP 2018: 666-673 - [i6]Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits. CoRR abs/1808.00675 (2018) - [i5]Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization. CoRR abs/1808.03958 (2018) - [i4]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 abs/1811.02290 (2018) - 2017
- [j3]Zhaofei Yu, Feng Chen, Jianwu Dong:
Neural network implementation of inference on binary Markov random fields with probability coding. Appl. Math. Comput. 301: 193-200 (2017) - [i3]Qi Yan, Zhaofei Yu, Feng Chen, Jian K. Liu:
Revealing structure components of the retina by deep learning networks. CoRR abs/1711.02837 (2017) - 2016
- [j2]Zhaofei Yu, Feng Chen, Jianwu Dong, Qionghai Dai:
Sampling-based causal inference in cue combination and its neural implementation. Neurocomputing 175: 155-165 (2016) - [i2]Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen, Wolfgang Maass:
Hamiltonian synaptic sampling in a model for reward-gated network plasticity. CoRR abs/1606.00157 (2016) - 2015
- [j1]Feng Chen, Qiang Cheng, Jianwu Dong, Zhaofei Yu, Guojun Wang, Wenli Xu:
Efficient approximate linear programming for factored MDPs. Int. J. Approx. Reason. 63: 101-121 (2015) - [i1]Zhaofei Yu, Feng Chen, Jianwu Dong, Qionghai Dai:
Sampling-based Causal Inference in Cue Combination and its Neural Implementation. CoRR abs/1509.00998 (2015)
Coauthor Index
[j40] [j39] [c54] [c53] [c52] [c51] [c50] [c48] [c47] [c46] [c45] [c43] [c42] [c40] [c39] [c38] [i40] [i39] [i36] [i35] [i34] [i32] [i30] [j37] [j34] [j33] [c36] [c35] [c34] [c30] [c29] [c28] [c26] [c25] [i29] [i28] [i25] [i24] [i23] [i22] [i19] [i18] [i17] [j32] [j31] [j29] [j27] [j26] [j25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [i14] [i13] [j22] [c12] [c11] [c10] [c9] [c8] [c6] [i12] [i11] [i10] [i9] [j19] [j18] [j13] [c3] [i8] [i7] [c1] [i6] [i5] [i4]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-18 19:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
