Yu, Zhaofei

63 publications

ICML 2025 A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing Yu Chen, Jing Lian, Zhaofei Yu, Jizhao Liu, Jisheng Dang, Gang Wang

NeurIPS 2025 Activity Pruning for Efficient Spiking Neural Networks Tong Bu, Xinyu Shi, Zhaofei Yu

ICML 2025 Differential Coding for Training-Free ANN-to-SNN Conversion Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang

ICML 2025 Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation Zecheng Hao, Qichao Ma, Kang Chen, Yi Zhang, Zhaofei Yu, Tiejun Huang

CVPR 2025 Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications Tong Bu, Maohua Li, Zhaofei Yu

NeurIPS 2025 Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control Zijie Xu, Tong Bu, Zecheng Hao, Jianhao Ding, Zhaofei Yu

AAAI 2025 Rethinking High-Speed Image Reconstruction Framework with Spike Camera Kang Chen, Yajing Zheng, Tiejun Huang, Zhaofei Yu

IJCAI 2025 SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-Bias Videos Wenxuan Liu, Yao Deng, Kang Chen, Xian Zhong, Zhaofei Yu, Tiejun Huang

CVPR 2025 Self-Supervised Learning for Color Spike Camera Reconstruction Yanchen Dong, Ruiqin Xiong, Xiaopeng Fan, Zhaofei Yu, Yonghong Tian, Tiejun Huang

ICCV 2025 SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition Zeqi Zheng, Yanchen Huang, Yingchao Yu, Zizheng Zhu, Junfeng Tang, Zhaofei Yu, Yaochu Jin

ICCV 2025 SpikeDiff: Zero-Shot High-Quality Video Reconstruction from Chromatic Spike Camera and Sub-Millisecond Spike Streams Siqi Yang, Jinxiu Liang, Zhaojun Huang, Yeliduosi Xiaokaiti, Yakun Chang, Zhaofei Yu, Boxin Shi

ICML 2025 TTFSFormer: A TTFS-Based Lossless Conversion of Spiking Transformer Lusen Zhao, Zihan Huang, Jianhao Ding, Zhaofei Yu

CVPR 2025 USP-Gaussian: Unifying Spike-Based Image Reconstruction, Pose Correction and Gaussian Splatting Kang Chen, Jiyuan Zhang, Zecheng Hao, Yajing Zheng, Tiejun Huang, Zhaofei Yu

ICLR 2024 A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-Hierarchical Model Zecheng Hao, Xinyu Shi, Zihan Huang, Tong Bu, Zhaofei Yu, Tiejun Huang

ICML 2024 Autaptic Synaptic Circuit Enhances Spatio-Temporal Predictive Learning of Spiking Neural Networks Lihao Wang, Zhaofei Yu

CVPR 2024 Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations Rui Zhao, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Zhaofei Yu, Tiejun Huang

NeurIPS 2024 Continuous Spatiotemporal Events Decoupling Through Spike-Based Bayesian Computation Yajing Zheng, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang

ICML 2024 Enhancing Adversarial Robustness in SNNs with Sparse Gradients Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu

AAAI 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu

CVPR 2024 Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios Shiyan Chen, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang

CVPR 2024 Intensity-Robust Autofocus for Spike Camera Changqing Su, Zhiyuan Ye, Yongsheng Xiao, You Zhou, Zhen Cheng, Bo Xiong, Zhaofei Yu, Tiejun Huang

NeurIPS 2024 LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart Through Learnable Multi-Hierarchical Threshold Model Zecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang

ICLR 2024 One Forward Is Enough for Neural Network Training via Likelihood Ratio Method Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng

ICLR 2024 Online Stabilization of Spiking Neural Networks Yaoyu Zhu, Jianhao Ding, Tiejun Huang, Xiaodong Xie, Zhaofei Yu

AAAI 2024 Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion Rui Zhao, Ruiqin Xiong, Jian Zhang, Xinfeng Zhang, Zhaofei Yu, Tiejun Huang

ECCV 2024 Real-Data-Driven 2000 FPS Color Video from Mosaicked Chromatic Spikes Siqi Yang, Zhaojun Huang, Yakun Chang, Bin Fan, Zhaofei Yu, Boxin Shi

AAAI 2024 Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera Junwei Zhao, Shiliang Zhang, Zhaofei Yu, Tiejun Huang

ICML 2024 Robust Stable Spiking Neural Networks Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang

CVPR 2024 Spike-Guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang

NeurIPS 2024 SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams Kang Chen, Shiyan Chen, Jiyuan Zhang, Baoyue Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu

NeurIPS 2024 Spiking Transformer with Experts Mixture Zhaokun Zhou, Yijie Lu, Yanhao Jia, Kaiwei Che, Jun Niu, Liwei Huang, Xinyu Shi, Yuesheng Zhu, Guoqi Li, Zhaofei Yu, Li Yuan

CVPR 2024 SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks Xinyu Shi, Zecheng Hao, Zhaofei Yu

CVPR 2024 Super-Resolution Reconstruction from Bayer-Pattern Spike Streams Yanchen Dong, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang

ICLR 2024 Threaten Spiking Neural Networks Through Combining Rate and Temporal Information Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang

ICLR 2024 Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu

AAAI 2024 Transient Glimpses: Unveiling Occluded Backgrounds Through the Spike Camera Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang

ICLR 2023 A Unified Framework for Soft Threshold Pruning Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian

ICLR 2023 Bridging the Gap Between ANNs and SNNs by Calibrating Offset Spikes Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu

CVPR 2023 Complementary Intrinsics from Neural Radiance Fields and CNNs for Outdoor Scene Relighting Siqi Yang, Xuanning Cui, Yongjie Zhu, Jiajun Tang, Si Li, Zhaofei Yu, Boxin Shi

NeurIPS 2023 Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams Shiyan Chen, Jiyuan Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu

NeurIPS 2023 Exploring Loss Functions for Time-Based Training Strategy in Spiking Neural Networks Yaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang, Zhaofei Yu

AAAI 2023 Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang

NeurIPS 2023 Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-Term Dependencies Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian

CVPR 2023 Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu

AAAI 2023 Reducing ANN-SNN Conversion Error Through Residual Membrane Potential Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu

AAAI 2023 Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera Shiyan Chen, Zhaofei Yu, Tiejun Huang

NeurIPS 2023 Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera Lujie Xia, Ziluo Ding, Rui Zhao, Jiyuan Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang, Ruiqin Xiong

NeurIPS 2022 Learning Optical Flow from Continuous Spike Streams Rui Zhao, Ruiqin Xiong, Jing Zhao, Zhaofei Yu, Xiaopeng Fan, Tiejun Huang

ICLR 2022 Optimal ANN-SNN Conversion for High-Accuracy and Ultra-Low-Latency Spiking Neural Networks Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang

AAAI 2022 Optimized Potential Initialization for Low-Latency Spiking Neural Networks Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang

NeurIPS 2022 SNN-RAT: Robustness-Enhanced Spiking Neural Network Through Regularized Adversarial Training Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian Liu

IJCAI 2022 Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera Shiyan Chen, Chaoteng Duan, Zhaofei Yu, Ruiqin Xiong, Tiejun Huang

AAAI 2022 Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang

ECCV 2022 Spike Transformer: Monocular Depth Estimation for Spiking Camera Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tiejun Huang

ICML 2022 State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian

NeurIPS 2022 Temporal Effective Batch Normalization in Spiking Neural Networks Chaoteng Duan, Jianhao Ding, Shiyan Chen, Zhaofei Yu, Tiejun Huang

NeurIPS 2022 Training Spiking Neural Networks with Event-Driven Backpropagation Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier

NeurIPS 2021 Deep Residual Learning in Spiking Neural Networks Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian

CVPR 2021 High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, Tiejun Huang

ICCV 2021 Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian

IJCAI 2021 Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang

IJCAI 2021 Pruning of Deep Spiking Neural Networks Through Gradient Rewiring Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian

ICCV 2021 Super Resolve Dynamic Scene from Continuous Spike Streams Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Tiejun Huang