Shikuang Deng

According to our database, Shikuang Deng authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Error-Aware Conversion from ANN to SNN via Post-training Parameter Calibration.

Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu

Int. J. Comput. Vis., September, 2024

2023

Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks.

Shikuang Deng, Hao Lin, Yuhang Li, Shi Gu

Proceedings of the International Conference on Machine Learning, 2023

2022

Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration.

Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu

CoRR, 2022

Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting.

Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks.

Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration.

Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu

Proceedings of the 38th International Conference on Machine Learning, 2021

Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks.

Shikuang Deng, Shi Gu

Proceedings of the 9th International Conference on Learning Representations, 2021