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Zecheng Hao
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2020 – today
- 2024
- [c9]Xinyu Shi, Zecheng Hao, Zhaofei Yu:
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks. CVPR 2024: 5610-5619 - [c8]Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang:
Threaten Spiking Neural Networks through Combining Rate and Temporal Information. ICLR 2024 - [c7]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 - [c6]Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu:
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework. ICLR 2024 - [c5]Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu:
Enhancing Adversarial Robustness in SNNs with Sparse Gradients. ICML 2024 - [c4]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]Zecheng Hao, Xinyu Shi, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang:
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model. CoRR abs/2402.00411 (2024) - [i6]Xinyu Shi, Zecheng Hao, Zhaofei Yu:
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks. CoRR abs/2403.14302 (2024) - [i5]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) - [i4]Zeyu Wang, Zecheng Hao, Jingyu Lin, Yuchao Feng, Yufei Guo:
UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction. CoRR abs/2407.11578 (2024) - [i3]Zecheng Hao, Yifan Huang, Zijie Xu, Zhaofei Yu, Tiejun Huang:
Comprehensive Online Training and Deployment for Spiking Neural Networks. CoRR abs/2410.07547 (2024) - 2023
- [c3]Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu:
Reducing ANN-SNN Conversion Error through Residual Membrane Potential. AAAI 2023: 11-21 - [c2]Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu:
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks. CVPR 2023: 7896-7906 - [c1]Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu:
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. ICLR 2023 - [i2]Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu:
Reducing ANN-SNN Conversion Error through Residual Membrane Potential. CoRR abs/2302.02091 (2023) - [i1]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)
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