Yu, Zhaofei
- Deep Residual Learning in Spiking Neural Networks
2021/02/08 by Wei Fang, Zhaofei Yu, Fang, Wei +9 · 62 citations
Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
2020/07/11 by Wei Fang, Fang, Wei, Zhaofei Yu +9 · 57 citations
Engineering · Neuroscience · #Advanced Memory and Neural Computing #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
- SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
2023/10/25 by Wei Fang, Fang, Wei, Yanqi Chen +17 · 64 citations
Engineering · Neuroscience · Computer Science · #Advanced Memory and Neural Computing #Neural dynamics and brain function #Neural Networks and Reservoir Computing
- Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
2021/05/25 by Jianhao Ding, Zhaofei Yu, Ding, Jianhao +5 · 10 citations
Engineering · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Modular Robots and Swarm Intelligence #Neural and Evolutionary Computing (cs.NE)
- Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
2023/04/25 by Fang, Wei, Yu, Zhaofei, Zhou, Zhaokun +5 · 11 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
- Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
2021/09/10 by Ziluo Ding, Rui Zhao, Ding, Ziluo +11 · 7 citations
Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural Networks and Reservoir Computing #Neural dynamics and brain function
- Reducing ANN-SNN Conversion Error through Residual Membrane Potential
2023/02/04 by Hao, Zecheng, Bu, Tong, Ding, Jianhao +2 · 7 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
- SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks
2024/03/21 by Xinyu Shi, Zecheng Hao, Shi, Xinyu +3 · 8 citations
Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural dynamics and brain function #CCD and CMOS Imaging Sensors
- Optimized Potential Initialization for Low-latency Spiking Neural Networks
2022/02/03 by Bu, Tong, Ding, Jianhao, Yu, Zhaofei +1 · 5 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
2023/03/29 by Chen, Shiyan, Zhang, Jiyuan, Yu, Zhaofei +1 · 5 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- One Forward is Enough for Neural Network Training via Likelihood Ratio Method
2023/05/15 by Jinyang Jiang, Jiang, Jinyang, Zeliang Zhang +7 · 1 voice · 1 citation
Computer Science · #Advanced Neural Network Applications #Machine Learning and ELM #Neural Networks and Applications #cs.LG #cs.NE #math.OC
- Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
2023/02/21 by Hao, Zecheng, Ding, Jianhao, Bu, Tong +2 · 4 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
- Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks
2019/04/30 by Yichen Zhang, Zhang, Yichen, Shanshan Jia +13 · 2 citations
Engineering · Neuroscience · #Advanced Memory and Neural Computing #CCD and CMOS Imaging Sensors #FOS: Biological sciences #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
- Enhancing Adversarial Robustness in SNNs with Sparse Gradients
2024/05/30 by Yujia Liu, Liu, Yujia, Tong Bu +9 · 4 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Neural and Evolutionary Computing (cs.NE)
- Robust Stable Spiking Neural Networks
2024/05/31 by Jianhao Ding, Zhiyu Pan, Ding, Jianhao +7 · 4 citations
Engineering · Computer Science · Neuroscience · #Advanced Memory and Neural Computing #Neural Networks and Applications #Neural dynamics and brain function
- A Unified Framework for Soft Threshold Pruning
2023/02/25 by Chen, Yanqi, Ma, Zhengyu, Fang, Wei +3 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Towards High-performance Spiking Transformers from ANN to SNN Conversion
2025/02/28 by Huang, Zihan, Shi, Xinyu, Hao, Zecheng +4 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
2024/02/01 by Hao, Zecheng, Shi, Xinyu, Liu, Yujia +2 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
- Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks
2024/06/01 by Lihao Wang, Wang, Lihao, Zhaofei Yu +1 · 2 citations
Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
- Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks
2024/09/19 by Xian Zhong, Zhong, Xian, Shengwang Hu +11 · 2 citations
Engineering · Neuroscience · #Advanced Memory and Neural Computing #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural dynamics and brain function
- USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting
2024/11/15 by Kang Chen, Chen, Kang, Jiyuan Zhang +9 · 2 citations
Computer Science · #Image and Object Detection Techniques #Medical Image Segmentation Techniques #Image Processing and 3D Reconstruction
- Spike timing reshapes robustness against attacks in spiking neural networks
2023/06/09 by Ding, Jianhao, Yu, Zhaofei, Huang, Tiejun +1 · 1 citation
#FOS: Biological sciences #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)
- Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views
2023/07/03 by Jiyuan Zhang, Zhang, Jiyuan, Shiyan Chen +7 · 1 citation
Engineering · Physics and Astronomy · #Advanced Optical Imaging Technologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Optical Coherence Tomography Applications #Random lasers and scattering media
- Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
2023/07/12 by Lujie Xia, Ziluo Ding, Xia, Lujie +13 · 1 citation
Computer Science · Engineering · #Advanced Optical Imaging Technologies #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural Networks and Reservoir Computing
- π_
RL: Online RL Fine-tuning for Flow-based Vision-Language-Action Models
2025/10/29 by Chen, Kang, Liu, Zhihao, Zhang, Tonghe +11 · 9 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- SpikeCV: Open a Continuous Computer Vision Era
2023/03/21 by Yajing Zheng, Jiyuan Zhang, Zheng, Yajing +13 · 1 citation
Engineering · Neuroscience · #Advanced Memory and Neural Computing #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural dynamics and brain function #Photoreceptor and optogenetics research
- SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion
2024/07/14 by Jiyuan Zhang, Zhang, Jiyuan, Kang Chen +9 · 1 citation
Computer Science · Physics and Astronomy · #Advanced Optical Sensing Technologies #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Video Surveillance and Tracking Methods
- Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs
2024/04/26 by Huang, Zhipeng, Ding, Jianhao, Pan, Zhiyu +4 · 1 citation
#FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
- Training-free Conversion of Pretrained ANNs to SNNs for Low-Power and High-Performance Applications
2024/09/05 by Tong Bu, Maohua Li, Bu, Tong +3 · 2 citations
Engineering · Physics and Astronomy · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #GaN-based semiconductor devices and materials #Neural and Evolutionary Computing (cs.NE)