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2020 – today
- 2024
[c11]Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang:
Threaten Spiking Neural Networks through Combining Rate and Temporal Information. ICLR 2024- [c10]Zecheng Hao, Xinyu Shi, Zihan Huang, Tong Bu, Zhaofei Yu, Tiejun Huang:
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model. ICLR 2024 - [c9]Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu:
Enhancing Adversarial Robustness in SNNs with Sparse Gradients. ICML 2024 - [c8]Zihan Huang
, Xinyu Shi, Zecheng Hao, Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Towards High-performance Spiking Transformers from ANN to SNN Conversion. ACM Multimedia 2024: 10688-10697 - [i7]Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tie-Jun Huang, Zhaofei Yu:
Enhancing Adversarial Robustness in SNNs with Sparse Gradients. CoRR abs/2405.20355 (2024) - [i6]Tong Bu, Maohua Li, Zhaofei Yu:
Training-free Conversion of Pretrained ANNs to SNNs for Low-Power and High-Performance Applications. CoRR abs/2409.03368 (2024) - 2023
- [j3]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:
Ultrahigh gain hot-electron tunneling transistor approaching the collection limit. Sci. China Inf. Sci. 66(6) (2023) - [c7]Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu:
Reducing ANN-SNN Conversion Error through Residual Membrane Potential. AAAI 2023: 11-21 - [c6]Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu:
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks. CVPR 2023: 7896-7906 - [c5]Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu:
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. ICLR 2023 - [c4]Stephen Casper, Tong Bu, Yuxiao Li, Jiawei Li, Kevin Zhang, Kaivalya Hariharan, Dylan Hadfield-Menell:
Red Teaming Deep Neural Networks with Feature Synthesis Tools. NeurIPS 2023 - [i5]Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu:
Reducing ANN-SNN Conversion Error through Residual Membrane Potential. CoRR abs/2302.02091 (2023) - [i4]Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu:
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. CoRR abs/2302.10685 (2023) - [i3]Stephen Casper, Yuxiao Li, Jiawei Li, Tong Bu, Kevin Zhang, Dylan Hadfield-Menell:
Benchmarking Interpretability Tools for Deep Neural Networks. CoRR abs/2302.10894 (2023) - [i2]Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang:
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. CoRR abs/2303.04347 (2023) - 2022
- [j2]Yijun Zhang, Tong Bu, Jiyuan Zhang, Shiming Tang, Zhaofei Yu, Jian K. Liu, Tiejun Huang:
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex. Neural Comput. 34(6): 1369-1397 (2022) - [c3]Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Optimized Potential Initialization for Low-Latency Spiking Neural Networks. AAAI 2022: 11-20 - [c2]Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang:
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. ICLR 2022 - [c1]Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian K. Liu:
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training. NeurIPS 2022 - [i1]Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Optimized Potential Initialization for Low-latency Spiking Neural Networks. CoRR abs/2202.01440 (2022) - 2021
- [j1]Guang Han, Li Li, Wei-Guo Di, Xiaoyun Sun, Tong Bu, Tong Lin:
Multiscale Convolutional Generative Adversarial Network for Anchorage Grout Defect Detection. IEEE Trans. Instrum. Meas. 70: 1-10 (2021)
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