no code implementations • 25 Mar 2024 • Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng
By designing and evaluating several variants of the classic model, we systematically investigate the functional roles of key modelling components, leakage, reset, and recurrence, in leaky integrate-and-fire (LIF) based SNNs.
no code implementations • 25 Mar 2024 • Huifeng Yin, Mingkun Xu, Jing Pei, Lei Deng
Graph representation learning has become a crucial task in machine learning and data mining due to its potential for modeling complex structures such as social networks, chemical compounds, and biological systems.
no code implementations • 30 Jun 2021 • Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei
Biological spiking neurons with intrinsic dynamics underlie the powerful representation and learning capabilities of the brain for processing multimodal information in complex environments.
no code implementations • 5 Jun 2020 • Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi
We demonstrate the advantages of this model in multiple different tasks, including few-shot learning, continual learning, and fault-tolerance learning in neuromorphic vision sensors.
no code implementations • 28 Dec 2019 • Yukuan Yang, Lei Deng, Peng Jiao, Yansong Chua, Jing Pei, Cheng Ma, Guoqi Li
In summary, this work provides a new solution for lensless imaging through scattering media using transfer learning in DNNs.
1 code implementation • 20 Dec 2019 • Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao
Generative adversarial networks have achieved remarkable performance on various tasks but suffer from training instability.
no code implementations • 25 Sep 2019 • Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi
Generative adversarial networks have achieved remarkable performance on various tasks but suffer from sensitivity to hyper-parameters, training instability, and mode collapse.
1 code implementation • 25 May 2017 • Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li
Through this way, we build a unified framework that subsumes the binary or ternary networks as its special cases, and under which a heuristic algorithm is provided at the website https://github. com/AcrossV/Gated-XNOR.