| 2026 | AAAI | Generalized Threshold Optimization with Harmony Multi-Threshold Neurons for Accurate ANN-to-SNN Conversion. | Wenhan Zhang, Zihan Huang, Tong Bu, Tiejun Huang, Zhaofei Yu |
| 2026 | AAAI | Spike Imaging Velocimetry: Dense Motion Estimation of Fluids Using Spike Streams. | Yunzhong Zhang, You Zhou, Changqing Su, Zhen Cheng, Zhaofei Yu, Bo Xiong, Tiejun Huang, Xun Cao |
| 2025 | AAAI | Rethinking High-speed Image Reconstruction Framework with Spike Camera. | Kang Chen, Yajing Zheng, Tiejun Huang, Zhaofei Yu |
| 2025 | CVPR | Self-Supervised Learning for Color Spike Camera Reconstruction. | Yanchen Dong, Ruiqin Xiong, Xiaopeng Fan, Zhaofei Yu, Yonghong Tian, Tiejun Huang |
| 2025 | CVPR | Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications. | Tong Bu, Maohua Li, Zhaofei Yu |
| 2025 | CVPR | USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting. | Kang Chen, Jiyuan Zhang, Zecheng Hao, Yajing Zheng, Tiejun Huang, Zhaofei Yu |
| 2025 | ICCV | 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 |
| 2025 | ICCV | SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition. | Zeqi Zheng, Yanchen Huang, Yingchao Yu, Zizheng Zhu, Junfeng Tang, Zhaofei Yu, Yaochu Jin |
| 2025 | ICML | A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing. | Yu Chen, Jing Lian, Zhaofei Yu, Jizhao Liu, Jisheng Dang, Gang Wang |
| 2025 | ICML | Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation. | Zecheng Hao, Qichao Ma, Kang Chen, Yi Zhang, Zhaofei Yu, Tiejun Huang |
| 2025 | ICML | 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 |
| 2025 | ICML | TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer. | Lusen Zhao, Zihan Huang, Jianhao Ding, Zhaofei Yu |
| 2025 | IJCAI | SOTA: Spike-Navigated Optimal TrAnsport Saliency Region Detection in Composite-bias Videos. | Wenxuan Liu, Yao Deng, Kang Chen, Xian Zhong, Zhaofei Yu, Tiejun Huang |
| 2024 | AAAI | Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion. | Rui Zhao, Ruiqin Xiong, Jian Zhang, Xinfeng Zhang, Zhaofei Yu, Tiejun Huang |
| 2024 | AAAI | Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms. | Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu |
| 2024 | AAAI | Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera. | Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang |
| 2024 | AAAI | Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera. | Junwei Zhao, Shiliang Zhang, Zhaofei Yu, Tiejun Huang |
| 2024 | CVPR | Super-Resolution Reconstruction from Bayer-Pattern Spike Streams. | Yanchen Dong, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios. | Shiyan Chen, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang |
| 2024 | CVPR | SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks. | Xinyu Shi, Zecheng Hao, Zhaofei Yu |
| 2024 | CVPR | Intensity-Robust Autofocus for Spike Camera. | Changqing Su, Zhiyuan Ye, Yongsheng Xiao, You Zhou, Zhen Cheng, Bo Xiong, Zhaofei Yu, Tiejun Huang |
| 2024 | CVPR | Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment. | Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang |
| 2024 | ECCV | Real-Data-Driven 2000 FPS Color Video from Mosaicked Chromatic Spikes. | Siqi Yang, Zhaojun Huang, Yakun Chang, Bin Fan, Zhaofei Yu, Boxin Shi |
| 2024 | ICLR | One Forward is Enough for Neural Network Training via Likelihood Ratio Method. | Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng |
| 2024 | ICLR | Threaten Spiking Neural Networks through Combining Rate and Temporal Information. | Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework. | Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu |
| 2024 | ICLR | Online Stabilization of Spiking Neural Networks. | Yaoyu Zhu, Jianhao Ding, Tiejun Huang, Xiaodong Xie, Zhaofei Yu |
| 2024 | ICML | Robust Stable Spiking Neural Networks. | Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang |
| 2024 | ICML | Enhancing Adversarial Robustness in SNNs with Sparse Gradients. | Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu |
| 2024 | ICML | Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks. | Lihao Wang, Zhaofei Yu |
| 2023 | AAAI | Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera. | Shiyan Chen, Zhaofei Yu, Tiejun Huang |
| 2023 | AAAI | Reducing ANN-SNN Conversion Error through Residual Membrane Potential. | Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu |
| 2023 | AAAI | Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms. | Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang |
| 2023 | CVPR | Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks. | Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu |
| 2023 | CVPR | 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 |
| 2023 | ICLR | A Unified Framework for Soft Threshold Pruning. | Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian |
| 2023 | ICLR | Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. | Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu |
| 2022 | AAAI | Optimized Potential Initialization for Low-Latency Spiking Neural Networks. | Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang |
| 2022 | AAAI | Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. | Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang |
| 2022 | ECCV | Spike Transformer: Monocular Depth Estimation for Spiking Camera. | Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tie-Jun Huang |
| 2022 | ICASSP | Modeling The Detection Capability Of High-Speed Spiking Cameras. | Junwei Zhao, Zhaofei Yu, Lei Ma, Ziluo Ding, Shiliang Zhang, Yonghong Tian, Tiejun Huang |
| 2022 | ICLR | 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 |
| 2022 | ICML | State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks. | Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian |
| 2022 | IJCAI | Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera. | Shiyan Chen, Chaoteng Duan, Zhaofei Yu, Ruiqin Xiong, Tiejun Huang |
| 2022 | ISCAS | SpikingSIM: A Bio-Inspired Spiking Simulator. | Junwei Zhao, Shiliang Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang |
| 2021 | CVPR | High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras. | Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, Tiejun Huang |
| 2021 | ICCV | Super Resolve Dynamic Scene from Continuous Spike Streams. | Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Tiejun Huang |
| 2021 | ICCV | Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. | Wei Fang, Zhaofei Yu, Yanqi Chen, Timothe Masquelier, Tiejun Huang, Yonghong Tian |
| 2021 | IJCAI | Pruning of Deep Spiking Neural Networks through Gradient Rewiring. | Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian |
| 2021 | IJCAI | Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. | Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang |
| 2021 | INFOCOM | Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks. | Penglin Dai, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu |
| 2019 | ESANN | Noise helps optimization escape from saddle points in the neural dynamics. | Ying Fang, Zhaofei Yu, Feng Chen |
| 2018 | PDP | Implementation of Bayesian Inference In Distributed Neural Networks. | Zhaofei Yu, Tiejun Huang, Jian K. Liu |