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Conferences
Zhaofei Yu
42 papers at tracked venues · 40 at CORE A* · active 2024–2026
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Venues
CVPR
×9
AAAI
×7
ICML
×7
NeurIPS
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ICLR
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ACM MM
×4
ICCV
×2
ECCV
×1
IJCAI
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Frequent coauthors
Zecheng Hao
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Kang Chen
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Jiyuan Zhang
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Tong Bu
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Zihan Huang
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Yanchen Dong
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Siqi Yang
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Rui Zhao
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Jianhao Ding
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Wenhan Zhang
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Yunzhong Zhang
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Yu Chen
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Papers
Generalized Threshold Optimization with Harmony Multi-Threshold Neurons for Accurate ANN-to-SNN Conversion
AAAI 2026
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Wenhan Zhang
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Spike Imaging Velocimetry: Dense Motion Estimation of Fluids Using Spike Streams
AAAI 2026
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Yunzhong Zhang
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A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing
ICML 2025
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Yu Chen
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Activity Pruning for Efficient Spiking Neural Networks
NeurIPS 2025
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Tong Bu
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Differential Coding for Training-Free ANN-to-SNN Conversion
ICML 2025
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Zihan Huang
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Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
ICML 2025
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Zecheng Hao
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Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications
CVPR 2025
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Tong Bu
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Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control
NeurIPS 2025
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Zijie Xu
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Rethinking High-speed Image Reconstruction Framework with Spike Camera
AAAI 2025
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Kang Chen
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SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos
IJCAI 2025
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Wenxuan Liu
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Self-Supervised Learning for Color Spike Camera Reconstruction
CVPR 2025
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Yanchen Dong
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SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition
ICCV 2025
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Zeqi Zheng
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SpikeDiff: Zero-Shot High-Quality Video Reconstruction from Chromatic Spike Camera and Sub-Millisecond Spike Streams
ICCV 2025
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Siqi Yang
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TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer
ICML 2025
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Lusen Zhao
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USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting
CVPR 2025
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Kang Chen
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A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model
ICLR 2024
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Zecheng Hao
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Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks
ICML 2024
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Lihao Wang
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Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations
CVPR 2024
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Rui Zhao
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Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
NeurIPS 2024
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Yajing Zheng
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Enhancing Adversarial Robustness in SNNs with Sparse Gradients
ICML 2024
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Yujia Liu
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Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms
AAAI 2024
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Jianhao Ding
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Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
CVPR 2024
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Shiyan Chen
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Intensity-Robust Autofocus for Spike Camera
CVPR 2024
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Changqing Su
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LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
NeurIPS 2024
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Zecheng Hao
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One Forward is Enough for Neural Network Training via Likelihood Ratio Method
ICLR 2024
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Jinyang Jiang
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Online Stabilization of Spiking Neural Networks
ICLR 2024
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Yaoyu Zhu
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Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion
AAAI 2024
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Rui Zhao
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Real-Data-Driven 2000 FPS Color Video from Mosaicked Chromatic Spikes
ECCV 2024
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Siqi Yang
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Real-time Parameter Evaluation of High-speed Microfluidic Droplets using Continuous Spike Streams
ACM MM 2024
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Bo Xiong
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Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera
AAAI 2024
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Junwei Zhao
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Robust Stable Spiking Neural Networks
ICML 2024
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Jianhao Ding
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Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment
CVPR 2024
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Jiyuan Zhang
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SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion
ACM MM 2024
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Jiyuan Zhang
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SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams
NeurIPS 2024
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Kang Chen
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Spiking Transformer with Experts Mixture
NeurIPS 2024
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Zhaokun Zhou
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SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks
CVPR 2024
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Xinyu Shi
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Super-Resolution Reconstruction from Bayer-Pattern Spike Streams
CVPR 2024
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Yanchen Dong
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Threaten Spiking Neural Networks through Combining Rate and Temporal Information
ICLR 2024
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Zecheng Hao
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Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework
ICLR 2024
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Xinyu Shi
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Towards High-performance Spiking Transformers from ANN to SNN Conversion
ACM MM 2024
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Zihan Huang
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Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks
ACM MM 2024
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Xian Zhong
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Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera
AAAI 2024
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Jiyuan Zhang
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