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Xinyu Shi 0004
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Other persons with the same name
- Xinyu Shi — disambiguation page
- Xinyu Shi 0001
![0000-0003-2690-4035 [0000-0003-2690-4035]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png)
- Xinyu Shi 0002
![0000-0002-0705-068X [0000-0002-0705-068X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png)
- Xinyu Shi 0003
![0000-0002-5906-088X [0000-0002-5906-088X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png)
- Xinyu Shi 0005
— Soochow University, Suzhou, Jiangsu, China
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2020 – today
- 2025
[i2]Zihan Huang, Xinyu Shi, Zecheng Hao, Tong Bu, Jianhao Ding, Zhaofei Yu, Tie-Jun Huang:
Towards High-performance Spiking Transformers from ANN to SNN Conversion. CoRR abs/2502.21193 (2025)- 2024
[c5]Xinyu Shi
, Zecheng Hao
, Zhaofei Yu:
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks. CVPR 2024: 5610-5619
[c4]Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang:
Threaten Spiking Neural Networks through Combining Rate and Temporal Information. ICLR 2024
[c3]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
[c2]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
[c1]Zecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang:
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model. NeurIPS 2024
[i1]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)- 2023
[j1]Peiqi Duan
, Yi Ma
, Xinyu Zhou
, Xinyu Shi
, Zihao W. Wang
, Tiejun Huang
, Boxin Shi
:
NeuroZoom: Denoising and Super Resolving Neuromorphic Events and Spikes. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15219-15232 (2023)
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