Multiscale Convolutional Generative Adversarial Network for Anchorage Grout Defect Detection. - Guang Han; Li Li; Wei-Guo Di; Xiaoyun Sun; Tong Bu; Tong Lin 007 (IEEE Trans. Instrum. Meas., 2021)

Optimized Potential Initialization for Low-Latency Spiking Neural Networks. - Tong Bu; Jianhao Ding; Zhaofei Yu; Tiejun Huang 001 (AAAI, 2022)

Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. - Tong Bu; Wei Fang 006; Jianhao Ding; Penglin Dai; Zhaofei Yu; Tiejun Huang 001 (ICLR, 2022)

SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training. - Jianhao Ding; Tong Bu; Zhaofei Yu; Tiejun Huang 001; Jian K. Liu (NeurIPS, 2022)

Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex. - Yijun Zhang 003; Tong Bu; Jiyuan Zhang; Shiming Tang; Zhaofei Yu; Jian K. Liu; Tiejun Huang 001 (Neural Comput., 2022)

Reducing ANN-SNN Conversion Error through Residual Membrane Potential. - Zecheng Hao; Tong Bu; Jianhao Ding; Tiejun Huang 001; Zhaofei Yu (AAAI, 2023)

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

Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. - Zecheng Hao; Jianhao Ding; Tong Bu; Tiejun Huang 001; Zhaofei Yu (ICLR, 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 (NeurIPS, 2023)

Benchmarking Interpretability Tools for Deep Neural Networks. - Stephen Casper; Yuxiao Li; Jiawei Li; Tong Bu; Kevin Zhang; Dylan Hadfield-Menell (CoRR, 2023)

Ultrahigh gain hot-electron tunneling transistor approaching the collection limit. - Jun Lin; Pengfei Luo; Xinpei Duan; Wujun Zhang; Chao Ma; Tong Bu; Wanhan Su; Bei Jiang; Guoli Li; Xuming Zou; Ting Yu; Lei Liao; et al. (Sci. China Inf. Sci., 2023)

Research on rail surface defect detection algorithm based on improved yolov8. - Tong Bu; Tao He (ICBASE, 2024)

Threaten Spiking Neural Networks through Combining Rate and Temporal Information. - Zecheng Hao; Tong Bu; Xinyu Shi; Zihan Huang; Zhaofei Yu; Tiejun Huang 001 (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 001 (ICLR, 2024)

Enhancing Adversarial Robustness in SNNs with Sparse Gradients. - Yujia Liu 005; Tong Bu; Jianhao Ding; Zecheng Hao; Tiejun Huang 001; Zhaofei Yu (ICML, 2024)

Towards High-performance Spiking Transformers from ANN to SNN Conversion. - Zihan Huang; Xinyu Shi; Zecheng Hao; Tong Bu; Jianhao Ding; Zhaofei Yu; Tiejun Huang 001 (ACM Multimedia, 2024)

Training-free Conversion of Pretrained ANNs to SNNs for Low-Power and High-Performance Applications. - Tong Bu; Maohua Li; Zhaofei Yu (CoRR, 2024)

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

Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes. - Zhaofei Yu; Tong Bu; Yijun Zhang 003; Shanshan Jia 001; Tiejun Huang 001; Jian K. Liu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Differential Coding for Training-Free ANN-to-SNN Conversion. - Zihan Huang; Wei Fang 006; Tong Bu; Peng Xue; Zecheng Hao; Wenxuan Liu; Yuanhong Tang; Zhaofei Yu; Tiejun Huang 001 (CoRR, 2025)

Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control. - Zijie Xu 008; Tong Bu; Zecheng Hao; Jianhao Ding; Zhaofei Yu (CoRR, 2025)