Zhaofei Yu

197 papers A* 65A 1B 1C 2Misc 1Journal 123Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Latency Coding Framework for Deep Spiking Neural Networks with Ultra-Low Latency.
CoRR
Yi Lu, Jianhao Ding, Zhaofei Yu
2026 J jnl
Brain-Inspired Multimodal Spiking Neural Network for Image-Text Retrieval.
CoRR
Xintao Zong, Xian Zhong, Wenxuan Liu, Jianhao Ding, Zhaofei Yu, Tiejun Huang
2026 J jnl
Cooperative Perception of Multi-Agents Under the Spatio-Temporal Drift Issue.
IEEE Trans. Intell. Transp. Syst.
Penglin Dai, Hao Zhou, Quanmin Wei, Xiao Wu, Zhanbo Sun, Zhaofei Yu
2026 J jnl
Error Amplification Limits ANN-to-SNN Conversion in Continuous Control.
CoRR
Zijie Xu, Zihan Huang, Yiting Dong, Kang Chen, Wenxuan Liu, Zhaofei Yu
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
2026 A* conf
Generalized Threshold Optimization with Harmony Multi-Threshold Neurons for Accurate ANN-to-SNN Conversion.
AAAI
Wenhan Zhang, Zihan Huang, Tong Bu, Tiejun Huang, Zhaofei Yu
2026 J jnl
SNNTracker: Online High-Speed Multi-Object Tracking With Spike Camera.
IEEE Trans. Pattern Anal. Mach. Intell.
Yajing Zheng, Chengen Li, Jiyuan Zhang, Zhaofei Yu, Tie-Jun Huang
2026 A* conf
Spike Imaging Velocimetry: Dense Motion Estimation of Fluids Using Spike Streams.
AAAI
Yunzhong Zhang, You Zhou, Changqing Su, Zhen Cheng, Zhaofei Yu, Bo Xiong, Tiejun Huang, Xun Cao
2026 J jnl
SpikeCV: open a continuous computer vision era.
Sci. China Inf. Sci.
Yajing Zheng, Jiyuan Zhang, Rui Zhao, Jianhao Ding, Shiyan Chen, Weijian Wu, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang
2025 A* conf
A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing.
ICML
Yu Chen, Jing Lian, Zhaofei Yu, Jizhao Liu, Jisheng Dang, Gang Wang
2025 J jnl
Assisting Training of Deep Spiking Neural Networks With Parameter Initialization.
IEEE Trans. Neural Networks Learn. Syst.
Jianhao Ding, Jiyuan Zhang, Tiejun Huang, Jian K. Liu, Zhaofei Yu
2025 J jnl
CaRe-BN: Precise Moving Statistics for Stabilizing Spiking Neural Networks in Reinforcement Learning.
CoRR
Zijie Xu, Xinyu Shi, Yiting Dong, Zihan Huang, Zhaofei Yu
2025 J jnl
Converting High-Performance and Low-Latency SNNs Through Explicit Modeling of Residual Error in ANNs.
IEEE Trans. Neural Networks Learn. Syst.
Zhipeng Huang, Jianhao Ding, Zhiyu Pan, Haoran Li, Ying Fang, Zhaofei Yu, Jian K. Liu
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 A* conf
Differential Coding for Training-Free ANN-to-SNN Conversion.
ICML
Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang
2025 J jnl
Differential Coding for Training-Free ANN-to-SNN Conversion.
CoRR
Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang
2025 J jnl
Driving in Spikes: An Entropy-Guided Object Detector for Spike Cameras.
CoRR
Ziyan Liu, Qi Su, Lulu Tang, Zhaofei Yu, Tie-Jun Huang
2025 J jnl
Enhancing NR-IQA Model Robustness Through Simple Image Compression Techniques.
IEEE Trans. Circuits Syst. Video Technol.
Yujia Liu, Chenxi Yang, Zhaofei Yu, Tie-Jun Huang
2025 A* conf
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation.
ICML
Zecheng Hao, Qichao Ma, Kang Chen, Yi Zhang, Zhaofei Yu, Tiejun Huang
2025 J jnl
HAD: Hierarchical Asymmetric Distillation to Bridge Spatio-Temporal Gaps in Event-Based Object Tracking.
CoRR
Yao Deng, Xian Zhong, Wenxuan Liu, Zhaofei Yu, Jingling Yuan, Tie-Jun Huang
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 A* conf
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications.
CVPR
Tong Bu, Maohua Li, Zhaofei Yu
2025 J jnl
Inter-event Interval Microscopy for Event Cameras.
CoRR
Changqing Su, Yanqin Chen, Zihan Lin, Zhen Cheng, You Zhou, Bo Xiong, Zhaofei Yu, Tie-Jun Huang
2025 J jnl
PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks.
CoRR
Yiting Dong, Jianhao Ding, Zijie Xu, Tong Bu, Zhaofei Yu, Tie-Jun Huang
2025 J jnl
Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control.
CoRR
Zijie Xu, Tong Bu, Zecheng Hao, Jianhao Ding, Zhaofei Yu
2025 J jnl
Regulating Temporal Neural Coding via Fast and Slow Synaptic Dynamics.
IEEE Trans. Cogn. Dev. Syst.
Yuanhong Tang, Lingling An, Xingyu Zhang, Huiling Huang, Zhaofei Yu
2025 A* conf
Rethinking High-speed Image Reconstruction Framework with Spike Camera.
AAAI
Kang Chen, Yajing Zheng, Tiejun Huang, Zhaofei Yu
2025 J jnl
Rethinking High-speed Image Reconstruction Framework with Spike Camera.
CoRR
Kang Chen, Yajing Zheng, Tie-Jun Huang, Zhaofei Yu
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
2025 A* conf
SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos.
IJCAI
Wenxuan Liu, Yao Deng, Kang Chen, Xian Zhong, Zhaofei Yu, Tiejun Huang
2025 J jnl
SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos.
CoRR
Wenxuan Liu, Yao Deng, Kang Chen, Xian Zhong, Zhaofei Yu, Tie-Jun Huang
2025 J jnl
STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers.
CoRR
Zeqi Zheng, Zizheng Zhu, Yingchao Yu, Yanchen Huang, Changze Lv, Junfeng Tang, Zhaofei Yu, Yaochu Jin
2025 A* conf
Self-Supervised Learning for Color Spike Camera Reconstruction.
CVPR
Yanchen Dong, Ruiqin Xiong, Xiaopeng Fan, Zhaofei Yu, Yonghong Tian, Tiejun Huang
2025 J jnl
SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition.
CoRR
Zeqi Zheng, Yanchen Huang, Yingchao Yu, Zizheng Zhu, Junfeng Tang, Zhaofei Yu, Yaochu Jin
2025 J jnl
Spike Imaging Velocimetry: Dense Motion Estimation of Fluids Using Spike Cameras.
CoRR
Yunzhong Zhang, Bo Xiong, You Zhou, Changqing Su, Zhen Cheng, Zhaofei Yu, Xun Cao, Tie-Jun Huang
2025 J jnl
SpikeDerain: Unveiling Clear Videos from Rainy Sequences Using Color Spike Streams.
CoRR
Hanwen Liang, Xian Zhong, Wenxuan Liu, Yajing Zheng, Wenxin Huang, Zhaofei Yu, Tiejun Huang
2025 J jnl
SpikeStereoNet: A Brain-Inspired Framework for Stereo Depth Estimation from Spike Streams.
CoRR
Zhuoheng Gao, Yihao Li, Jiyao Zhang, Rui Zhao, Tong Wu, Hao Tang, Zhaofei Yu, Hao Dong, Guozhang Chen, Tiejun Huang
2025 J jnl
Spiking Variational Policy Gradient for Brain Inspired Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhile Yang, Shangqi Guo, Ying Fang, Zhaofei Yu, Jian K. Liu
2025 J jnl
TDFormer: A Top-Down Attention-Controlled Spiking Transformer.
CoRR
Zizheng Zhu, Yingchao Yu, Zeqi Zheng, Zhaofei Yu, Yaochu Jin
2025 A* conf
TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer.
ICML
Lusen Zhao, Zihan Huang, Jianhao Ding, Zhaofei Yu
2025 J jnl
Towards High-performance Spiking Transformers from ANN to SNN Conversion.
CoRR
Zihan Huang, Xinyu Shi, Zecheng Hao, Tong Bu, Jianhao Ding, Zhaofei Yu, Tie-Jun Huang
2025 J jnl
Training Deep Normalization-Free Spiking Neural Networks with Lateral Inhibition.
CoRR
Peiyu Liu, Jianhao Ding, Zhaofei Yu
2025 A* conf
USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting.
CVPR
Kang Chen, Jiyuan Zhang, Zecheng Hao, Yajing Zheng, Tiejun Huang, Zhaofei Yu
2025 J jnl
Unleashing Temporal Capacity of Spiking Neural Networks through Spatiotemporal Separation.
CoRR
Yiting Dong, Zhaofei Yu, Jianhao Ding, Zijie Xu, Tiejun Huang
2025 J jnl
π
CoRR
Kang Chen, Zhihao Liu, Tonghe Zhang, Zhen Guo, Si Xu, Hao Lin, Hongzhi Zang, Quanlu Zhang, Zhaofei Yu, Guoliang Fan, Tiejun Huang, Yu Wang, Chao Yu
2024 A* conf
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model.
ICLR
Zecheng Hao, Xinyu Shi, Zihan Huang, Tong Bu, Zhaofei Yu, Tiejun Huang
2024 A* conf
Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks.
ICML
Lihao Wang, Zhaofei Yu
2024 J jnl
Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks.
CoRR
Lihao Wang, Zhaofei Yu
2024 A* conf
Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations.
CVPR
Rui Zhao, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Zhaofei Yu, Tiejun Huang
2024 J jnl
Comprehensive Online Training and Deployment for Spiking Neural Networks.
CoRR
Zecheng Hao, Yifan Huang, Zijie Xu, Zhaofei Yu, Tiejun Huang
2024 A* conf
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation.
NeurIPS
Yajing Zheng, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang
2024 J jnl
Converting Artificial Neural Networks to Ultralow-Latency Spiking Neural Networks for Action Recognition.
IEEE Trans. Cogn. Dev. Syst.
Hong You, Xian Zhong, Wenxuan Liu, Qi Wei, Wenxin Huang, Zhaofei Yu, Tiejun Huang
2024 J jnl
Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs.
CoRR
Zhipeng Huang, Jianhao Ding, Zhiyu Pan, Haoran Li, Ying Fang, Zhaofei Yu, Jian K. Liu
2024 J jnl
CopyLens: Dynamically Flagging Copyrighted Sub-Dataset Contributions to LLM Outputs.
CoRR
Qichao Ma, Rui-Jie Zhu, Peiye Liu, Renye Yan, Fahong Zhang, Ling Liang, Meng Li, Zhaofei Yu, Zongwei Wang, Yimao Cai, Tiejun Huang
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
2024 J jnl
Deep Pulse-Coupled Neural Networks.
CoRR
Zexiang Yi, Jing Lian, Yunliang Qi, Zhaofei Yu, Huajin Tang, Yide Ma, Jizhao Liu
2024 A* conf
Enhancing Adversarial Robustness in SNNs with Sparse Gradients.
ICML
Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu
2024 J jnl
Enhancing Adversarial Robustness in SNNs with Sparse Gradients.
CoRR
Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tie-Jun Huang, Zhaofei Yu
2024 A* conf
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms.
AAAI
Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu
2024 A* conf
Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios.
CVPR
Shiyan Chen, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang
2024 J jnl
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation.
CoRR
Zecheng Hao, Zhaofei Yu, Tiejun Huang
2024 A* conf
Intensity-Robust Autofocus for Spike Camera.
CVPR
Changqing Su, Zhiyuan Ye, Yongsheng Xiao, You Zhou, Zhen Cheng, Bo Xiong, Zhaofei Yu, Tiejun Huang
2024 A* conf
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model.
NeurIPS
Zecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang
2024 J jnl
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model.
CoRR
Zecheng Hao, Xinyu Shi, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang
2024 J jnl
Meta Reinforcement Learning for Multi-Task Offloading in Vehicular Edge Computing.
IEEE Trans. Mob. Comput.
Penglin Dai, Yaorong Huang, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu
2024 A* conf
One Forward is Enough for Neural Network Training via Likelihood Ratio Method.
ICLR
Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng
2024 A* conf
Online Stabilization of Spiking Neural Networks.
ICLR
Yaoyu Zhu, Jianhao Ding, Tiejun Huang, Xiaodong Xie, Zhaofei Yu
2024 A* conf
Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion.
AAAI
Rui Zhao, Ruiqin Xiong, Jian Zhang, Xinfeng Zhang, Zhaofei Yu, Tiejun Huang
2024 — conf
Real-Data-Driven 2000 FPS Color Video from Mosaicked Chromatic Spikes.
ECCV (12)
Siqi Yang, Zhaojun Huang, Yakun Chang, Bin Fan, Zhaofei Yu, Boxin Shi
2024 A* conf
Real-time Parameter Evaluation of High-speed Microfluidic Droplets using Continuous Spike Streams.
ACM Multimedia
Bo Xiong, Changqing Su, Zihan Lin, Yanqin Chen, You Zhou, Zhen Cheng, Zhaofei Yu, Tiejun Huang
2024 A* conf
Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera.
AAAI
Junwei Zhao, Shiliang Zhang, Zhaofei Yu, Tiejun Huang
2024 A* conf
Robust Stable Spiking Neural Networks.
ICML
Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang
2024 J jnl
Robust Stable Spiking Neural Networks.
CoRR
Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tie-Jun Huang
2024 J jnl
SpiReco: Fast and Efficient Recognition of High-Speed Moving Objects With Spike Camera.
IEEE Trans. Circuits Syst. Video Technol.
Junwei Zhao, Shiliang Zhang, Zhaofei Yu, Tiejun Huang
2024 J jnl
Spike Camera Image Reconstruction Using Deep Spiking Neural Networks.
IEEE Trans. Circuits Syst. Video Technol.
Rui Zhao, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Shuyuan Zhu, Lei Ma, Tiejun Huang
2024 A* conf
Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment.
CVPR
Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang
2024 A* conf
SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion.
ACM Multimedia
Jiyuan Zhang, Kang Chen, Shiyan Chen, Yajing Zheng, Tiejun Huang, Zhaofei Yu
2024 J jnl
SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion.
CoRR
Jiyuan Zhang, Kang Chen, Shiyan Chen, Yajing Zheng, Tie-Jun Huang, Zhaofei Yu
2024 J jnl
SpikeMM: Flexi-Magnification of High-Speed Micro-Motions.
CoRR
Baoyue Zhang, Yajing Zheng, Shiyan Chen, Jiyuan Zhang, Kang Chen, Zhaofei Yu, Tiejun Huang
2024 A* conf
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams.
NeurIPS
Kang Chen, Shiyan Chen, Jiyuan Zhang, Baoyue Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu
2024 J jnl
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams.
CoRR
Kang Chen, Shiyan Chen, Jiyuan Zhang, Baoyue Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu
2024 A* conf
Spiking Transformer with Experts Mixture.
NeurIPS
Zhaokun Zhou, Yijie Lu, Yanhao Jia, Kaiwei Che, Jun Niu, Liwei Huang, Xinyu Shi, Yuesheng Zhu, Guoqi Li, Zhaofei Yu, Li Yuan
2024 A* conf
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks.
CVPR
Xinyu Shi, Zecheng Hao, Zhaofei Yu
2024 J jnl
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks.
CoRR
Xinyu Shi, Zecheng Hao, Zhaofei Yu
2024 A* conf
Super-Resolution Reconstruction from Bayer-Pattern Spike Streams.
CVPR
Yanchen Dong, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang
2024 A* conf
Threaten Spiking Neural Networks through Combining Rate and Temporal Information.
ICLR
Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang
2024 A* conf
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework.
ICLR
Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu
2024 A* conf
Towards High-performance Spiking Transformers from ANN to SNN Conversion.
ACM Multimedia
Zihan Huang, Xinyu Shi, Zecheng Hao, Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang
2024 A* conf
Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks.
ACM Multimedia
Xian Zhong, Shengwang Hu, Wenxuan Liu, Wenxin Huang, Jianhao Ding, Zhaofei Yu, Tiejun Huang
2024 J jnl
Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks.
CoRR
Xian Zhong, Shengwang Hu, Wenxuan Liu, Wenxin Huang, Jianhao Ding, Zhaofei Yu, Tiejun Huang
2024 J jnl
Training-free Conversion of Pretrained ANNs to SNNs for Low-Power and High-Performance Applications.
CoRR
Tong Bu, Maohua Li, Zhaofei Yu
2024 A* conf
Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera.
AAAI
Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang
2024 J jnl
USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting.
CoRR
Kang Chen, Jiyuan Zhang, Zecheng Hao, Yajing Zheng, Tie-Jun Huang, Zhaofei Yu
2023 J jnl
A Novel Noise Injection-based Training Scheme for Better Model Robustness.
CoRR
Zeliang Zhang, Jinyang Jiang, Minjie Chen, Zhiyuan Wang, Yijie Peng, Zhaofei Yu
2023 A* conf
A Unified Framework for Soft Threshold Pruning.
ICLR
Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
2023 J jnl
A Unified Framework for Soft Threshold Pruning.
CoRR
Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
2023 J jnl
Asynchronous Spatiotemporal Spike Metric for Event Cameras.
IEEE Trans. Neural Networks Learn. Syst.
Jianing Li, Yihua Fu, Siwei Dong, Zhaofei Yu, Tie-Jun Huang, Yonghong Tian
2023 A* conf
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes.
ICLR
Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu
2023 J jnl
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes.
CoRR
Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu
2023 J jnl
Capture the Moment: High-Speed Imaging With Spiking Cameras Through Short-Term Plasticity.
IEEE Trans. Pattern Anal. Mach. Intell.
Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Tie-Jun Huang, Song Wang
2023 A* conf
Complementary Intrinsics from Neural Radiance Fields and CNNs for Outdoor Scene Relighting.
CVPR
Siqi Yang, Xuanning Cui, Yongjie Zhu, Jiajun Tang, Si Li, Zhaofei Yu, Boxin Shi
2023 J jnl
Deep Spike Learning With Local Classifiers.
IEEE Trans. Cybern.
Chenxiang Ma, Rui Yan, Zhaofei Yu, Qiang Yu
2023 J jnl
Diverse role of NMDA receptors for dendritic integration of neural dynamics.
PLoS Comput. Biol.
Yuanhong Tang, Xingyu Zhang, Lingling An, Zhaofei Yu, Jian K. Liu
2023 A* conf
Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams.
NeurIPS
Shiyan Chen, Jiyuan Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu
2023 J jnl
Exploring Asymmetric Tunable Blind-Spots for Self-supervised Denoising in Real-World Scenarios.
CoRR
Shiyan Chen, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang
2023 A* conf
Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks.
NeurIPS
Yaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang, Zhaofei Yu
2023 J jnl
INeAT: Iterative Neural Adaptive Tomography.
CoRR
Bo Xiong, Changqing Su, Zihan Lin, You Zhou, Zhaofei Yu
2023 A* conf
Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms.
AAAI
Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang
2023 J jnl
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks.
CoRR
Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang
2023 A* conf
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies.
NeurIPS
Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
2023 J jnl
Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability.
CoRR
Wei Fang, Zhaofei Yu, Zhaokun Zhou, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
2023 A* conf
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks.
CVPR
Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu
2023 A* conf
Recognizing High-Speed Moving Objects with Spike Camera.
ACM Multimedia
Junwei Zhao, Jianming Ye, Shiliang Zhang, Zhaofei Yu, Tiejun Huang
2023 A* conf
Reducing ANN-SNN Conversion Error through Residual Membrane Potential.
AAAI
Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu
2023 J jnl
Reducing ANN-SNN Conversion Error through Residual Membrane Potential.
CoRR
Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu
2023 A* conf
Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera.
AAAI
Shiyan Chen, Zhaofei Yu, Tiejun Huang
2023 J jnl
Spike Stream Denoising via Spike Camera Simulation.
CoRR
Liwen Hu, Lei Ma, Zhaofei Yu, Boxin Shi, Tiejun Huang
2023 J jnl
Spike timing reshapes robustness against attacks in spiking neural networks.
CoRR
Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu
2023 J jnl
Spike-Based Motion Estimation for Object Tracking Through Bio-Inspired Unsupervised Learning.
IEEE Trans. Image Process.
Yajing Zheng, Zhaofei Yu, Song Wang, Tie-Jun Huang
2023 J jnl
SpikeCV: Open a Continuous Computer Vision Era.
CoRR
Yajing Zheng, Jiyuan Zhang, Rui Zhao, Jianhao Ding, Shiyan Chen, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang
2023 J jnl
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence.
CoRR
Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian
2023 J jnl
Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method.
CoRR
Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng
2023 A* conf
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera.
NeurIPS
Lujie Xia, Ziluo Ding, Rui Zhao, Jiyuan Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang, Ruiqin Xiong
2023 J jnl
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera.
CoRR
Lujie Xia, Ziluo Ding, Rui Zhao, Jiyuan Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang, Ruiqin Xiong
2023 J jnl
Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views.
CoRR
Jiyuan Zhang, Shiyan Chen, Yajing Zheng, 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
A Distributed Algorithm for Task Offloading in Vehicular Networks With Hybrid Fog/Cloud Computing.
IEEE Trans. Syst. Man Cybern. Syst.
Zongkai Liu, Penglin Dai, Huanlai Xing, Zhaofei Yu, Wei Zhang
2022 J jnl
A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks.
IEEE Trans. Intell. Transp. Syst.
Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Fei Teng, Zhaofei Yu
2022 J jnl
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex.
Neural Comput.
Yijun Zhang, Tong Bu, Jiyuan Zhang, Shiming Tang, Zhaofei Yu, Jian K. Liu, Tiejun Huang
2022 A* conf
Learning Optical Flow from Continuous Spike Streams.
NeurIPS
Rui Zhao, Ruiqin Xiong, Jing Zhao, Zhaofei Yu, Xiaopeng Fan, Tiejun Huang
2022 Misc conf
Modeling The Detection Capability Of High-Speed Spiking Cameras.
ICASSP
Junwei Zhao, Zhaofei Yu, Lei Ma, Ziluo Ding, Shiliang Zhang, Yonghong Tian, Tiejun Huang
2022 J jnl
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches.
Int. J. Autom. Comput.
Yi-Jun Zhang, Zhaofei Yu, Jian K. Liu, Tie-Jun Huang
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 A* conf
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks.
ICLR
Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang
2022 A* conf
Optimized Potential Initialization for Low-Latency Spiking Neural Networks.
AAAI
Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang
2022 J jnl
Optimized Potential Initialization for Low-latency Spiking Neural Networks.
CoRR
Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang
2022 J jnl
Reconstructing Clear Image for High-Speed Motion Scene With a Retina-Inspired Spike Camera.
IEEE Trans. Computational Imaging
Jing Zhao, Ruiqin Xiong, Jiyu Xie, Boxin Shi, Zhaofei Yu, Wen Gao, Tiejun Huang
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 A* conf
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training.
NeurIPS
Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian K. Liu
2022 A* conf
Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera.
IJCAI
Shiyan Chen, Chaoteng Duan, Zhaofei Yu, Ruiqin Xiong, Tiejun Huang
2022 A* conf
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation.
AAAI
Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang
2022 — conf
Spike Transformer: Monocular Depth Estimation for Spiking Camera.
ECCV (7)
Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tie-Jun Huang
2022 C conf
SpikingSIM: A Bio-Inspired Spiking Simulator.
ISCAS
Junwei Zhao, Shiliang Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang
2022 A* conf
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks.
ICML
Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian
2022 J jnl
Structure inference of networked system with the synergy of deep residual network and fully connected layer network.
Neural Networks
Keke Huang, Shuo Li, Wenfeng Deng, Zhaofei Yu, Lei Ma
2022 A* conf
Temporal Effective Batch Normalization in Spiking Neural Networks.
NeurIPS
Chaoteng Duan, Jianhao Ding, Shiyan Chen, Zhaofei Yu, Tiejun Huang
2022 A* conf
Training Spiking Neural Networks with Event-driven Backpropagation.
NeurIPS
Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier
2022 J jnl
Zooming in on the brain via data science.
Patterns
Shanshan Jia, Zhaofei Yu
2021 A* conf
Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks.
INFOCOM
Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu
2021 A* conf
Deep Residual Learning in Spiking Neural Networks.
NeurIPS
Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian
2021 J jnl
Dissecting cascade computational components in spiking neural networks.
PLoS Comput. Biol.
Shanshan Jia, Dajun Xing, Zhaofei Yu, Jian K. Liu
2021 A* conf
High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras.
CVPR
Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, Tiejun Huang
2021 A* conf
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks.
ICCV
Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian
2021 A* conf
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks.
IJCAI
Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang
2021 J jnl
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks.
CoRR
Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang
2021 A* conf
Pruning of Deep Spiking Neural Networks through Gradient Rewiring.
IJCAI
Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian
2021 J jnl
Pruning of Deep Spiking Neural Networks through Gradient Rewiring.
CoRR
Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian
2021 J jnl
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation.
CoRR
Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang
2021 J jnl
Spike-based Residual Blocks.
CoRR
Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian
2021 A* conf
Super Resolve Dynamic Scene from Continuous Spike Streams.
ICCV
Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Tiejun Huang
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
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.
IEEE Trans. Cybern.
Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen
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
Multi-Armed Bandit Learning for Computation-Intensive Services in MEC-Empowered Vehicular Networks.
IEEE Trans. Veh. Technol.
Penglin Dai, Zihua Hang, Kai Liu, Xiao Wu, Huanlai Xing, Zhaofei Yu, Victor Chung Sing Lee
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
2020 J jnl
SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction.
Neural Networks
Keke Huang, Shuo Li, Penglin Dai, Zhen Wang, Zhaofei Yu
2020 J jnl
Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks.
IEEE Trans. Cogn. Dev. Syst.
Zhaofei Yu, Feng Chen, Jian K. Liu
2019 — conf
A Learning Algorithm for Real-Time Service in Vehicular Networks with Mobile-Edge Computing.
ICC
Penglin Dai, Kai Liu, Xiao Wu, Huanlai Xing, Zhaofei Yu, Victor C. S. Lee
2019 J jnl
A unified neural circuit of causal inference and multisensory integration.
Neurocomputing
Ying Fang, Zhaofei Yu, Jian K. Liu, Feng Chen
2019 J jnl
Bandwidth-Aware Traffic Sensing in Vehicular Networks with Mobile Edge Computing.
Sensors
Kong Ye, Penglin Dai, Xiao Wu, Yan Ding, Huanlai Xing, Zhaofei Yu
2019 J jnl
Cooperative Temporal Data Dissemination in SDN-Based Heterogeneous Vehicular Networks.
IEEE Internet Things J.
Penglin Dai, Kai Liu, Xiao Wu, Zhaofei Yu, Huanlai Xing, Victor Chung Sing Lee
2019 A conf
Event-Based Vision Enhanced: A Joint Detection Framework in Autonomous Driving.
ICME
Jianing Li, Siwei Dong, Zhaofei Yu, Yonghong Tian, Tiejun Huang
2019 J jnl
Hierarchical Bayesian Inference and Learning in Spiking Neural Networks.
IEEE Trans. Cybern.
Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, Feng Chen
2019 B conf
Noise helps optimization escape from saddle points in the neural dynamics.
ESANN
Ying Fang, Zhaofei Yu, Feng Chen
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
2019 J jnl
Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor.
IEEE Access
Xueqing Zhao, Xin Shi, Bo Yang, Quanli Gao, Zhaofei Yu, Jian K. Liu, Yonghong Tian, Tiejun Huang
2018 — conf
An Adaptive Task Assignment Scheme for Data Service in Heterogeneous Vehicular Networks.
NAS
Penglin Dai, Kai Liu, Ke Xiao, Junhua Wang, Zhaofei Yu, Huanlai Xing
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
Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor.
IEEE Trans. Instrum. Meas.
Fei Deng, Jianwu Dong, Xiangyu Wang, Ying Fang, Yu Liu, Zhaofei Yu, Jing Liu, Feng Chen
2018 J jnl
Heterogeneous cooperative belief for social dilemma in multi-agent system.
Appl. Math. Comput.
Keke Huang, Xiaofang Chen, Zhaofei Yu, Chunhua Yang, Weihua Gui
2018 C conf
Implementation of Bayesian Inference In Distributed Neural Networks.
PDP
Zhaofei Yu, Tiejun Huang, Jian K. Liu
2018 J jnl
Promote of cooperation in networked multiagent system based on fitness control.
Appl. Math. Comput.
Wenfeng Deng, Keke Huang, Chunhua Yang, Hongqiu Zhu, Zhaofei Yu
2018 J jnl
Reaction-diffusion equation based image restoration.
Appl. Math. Comput.
Xueqing Zhao, Keke Huang, Xiaoming Wang, Meihong Shi, Xinjuan Zhu, Quanli Gao, Zhaofei Yu
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
2018 J jnl
Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Zhaofei Yu, Feng Chen, Fei Deng
2018 J jnl
Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits.
CoRR
Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu
2017 J jnl
Neural network implementation of inference on binary Markov random fields with probability coding.
Appl. Math. Comput.
Zhaofei Yu, Feng Chen, Jianwu Dong
2017 J jnl
Revealing structure components of the retina by deep learning networks.
CoRR
Qi Yan, Zhaofei Yu, Feng Chen, Jian K. Liu
2016 J jnl
Hamiltonian synaptic sampling in a model for reward-gated network plasticity.
CoRR
Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen, Wolfgang Maass
2016 J jnl
Sampling-based causal inference in cue combination and its neural implementation.
Neurocomputing
Zhaofei Yu, Feng Chen, Jianwu Dong, Qionghai Dai
2015 J jnl
Efficient approximate linear programming for factored MDPs.
Int. J. Approx. Reason.
Feng Chen, Qiang Cheng, Jianwu Dong, Zhaofei Yu, Guojun Wang, Wenli Xu
2015 J jnl
Sampling-based Causal Inference in Cue Combination and its Neural Implementation.
CoRR
Zhaofei Yu, Feng Chen, Jianwu Dong, Qionghai Dai