Yifan Hu

According to our database, Yifan Hu authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

eBrainISA: Edge-Oriented Instruction Set Architecture for Hybrid Brain-Inspired Computing.

Xiaojun Qi, Yujie Ying, Zhong Zheng, Ziyi Yang, Ling Liang, Zegang Peng, Yifan Hu, Siying Liu, Zhuo Zou, Lei Deng

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2026

2025

ISTASTrack: Bridging ANN and SNN via ISTA Adapter for RGB-Event Tracking.

Siying Liu, Zikai Wang, Hanle Zheng, Yifan Hu, Xilin Wang, Qingkai Yang, Jibin Wu, Hao Guo, Lei Deng

CoRR, September, 2025

Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness.

Mingkun Xu, Faqiang Liu, Yifan Hu, Hongyi Li, Yuanyuan Wei, Shuai Zhong, Jing Pei, Lei Deng

IEEE Trans. Neural Networks Learn. Syst., March, 2025

Advancing Spiking Neural Networks Toward Deep Residual Learning.

Yifan Hu, Lei Deng, Yujie Wu, Man Yao, Guoqi Li

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Knowledge distillation for spiking neural networks: aligning features and saliency.

Yifan Hu, Guoqi Li, Lei Deng

Neuromorph. Comput. Eng., 2025

2024

Spike Attention Coding for Spiking Neural Networks.

Jiawen Liu, Yifan Hu, Guoqi Li, Jing Pei, Lei Deng

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Rethinking Pretraining as a Bridge From ANNs to SNNs.

Yihan Lin, Yifan Hu, Shijie Ma, Dongjie Yu, Guoqi Li

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Understanding the functional roles of modelling components in spiking neural networks.

Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng

Neuromorph. Comput. Eng., 2024

2023

Attention Spiking Neural Networks.

Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization.

Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie

IEEE Trans. Neural Networks Learn. Syst., June, 2023

2021

Advancing Residual Learning towards Powerful Deep Spiking Neural Networks.

Yifan Hu, Yujie Wu, Lei Deng, Guoqi Li

CoRR, 2021

Going Deeper With Directly-Trained Larger Spiking Neural Networks.

Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021