Bu, Tong

14 publications

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

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

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

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

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

NeurIPS 2023 Red Teaming Deep Neural Networks with Feature Synthesis Tools Stephen Casper, Tong Bu, Yuxiao Li, Jiawei Li, Kevin Zhang, Kaivalya Hariharan, Dylan Hadfield-Menell

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

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