Tong Bu

According to our database, Tong Bu authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Training-free Conversion of Pretrained ANNs to SNNs for Low-Power and High-Performance Applications.

Tong Bu, Maohua Li, Zhaofei Yu

CoRR, 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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Enhancing Adversarial Robustness in SNNs with Sparse Gradients.

Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Threaten Spiking Neural Networks through Combining Rate and Temporal Information.

Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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, Xingqiang Liu

Sci. China Inf. Sci., June, 2023

Benchmarking Interpretability Tools for Deep Neural Networks.

Stephen Casper, Yuxiao Li, Jiawei Li, Tong Bu, Kevin Zhang, Dylan Hadfield-Menell

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes.

Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks.

Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Reducing ANN-SNN Conversion Error through Residual Membrane Potential.

Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex.

Yijun Zhang, Tong Bu, Jiyuan Zhang, Shiming Tang, Zhaofei Yu, Jian K. Liu, Tiejun Huang

Neural Comput., 2022

SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training.

Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian K. Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Optimized Potential Initialization for Low-Latency Spiking Neural Networks.

Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Multiscale Convolutional Generative Adversarial Network for Anchorage Grout Defect Detection.

Guang Han, Li Li, Wei-Guo Di, Xiaoyun Sun, Tong Bu, Tong Lin

IEEE Trans. Instrum. Meas., 2021