Luziwei Leng

According to our database, Luziwei Leng authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models.

Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng

CoRR, 2024

Evolutionary Spiking Neural Networks: A Survey.

Shuaijie Shen, Rui Zhang, Chao Wang, Renzhuo Huang, Aiersi Tuerhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng

CoRR, 2024

Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI Applications.

Zhou Zhou, Guohang He, Zheng Zhang, Luziwei Leng, Qinghai Guo, Jianxing Liao, Xuan Song, Ran Cheng

CoRR, 2024

Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion.

Yanchen Li, Jiachun Li, Kebin Sun, Luziwei Leng, Ran Cheng

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Automotive Object Detection via Learning Sparse Events by Temporal Dynamics of Spiking Neurons.

Hu Zhang, Luziwei Leng, Kaiwei Che, Qian Liu, Jie Cheng, Qinghai Guo, Jiangxing Liao, Ran Cheng

CoRR, 2023

Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference.

Boyan Li, Luziwei Leng, Ran Cheng, Shuaijie Shen, Kaixuan Zhang, Jianguo Zhang, Jianxing Liao

CoRR, 2023

Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network.

Rui Zhang, Luziwei Leng, Kaiwei Che, Hu Zhang, Jie Cheng, Qinghai Guo, Jiangxing Liao, Ran Cheng

CoRR, 2023

Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling.

Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, Qinghai Guo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation.

Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Cortical oscillations support sampling-based computations in spiking neural networks.

Agnes Korcsak-Gorzo, Michael G. Müller, Andreas Baumbach, Luziwei Leng, Oliver Julien Breitwieser, Sacha J. van Albada, Walter Senn, Karlheinz Meier, Robert Legenstein, Mihai A. Petrovici

PLoS Comput. Biol., 2022

Differentiable hierarchical and surrogate gradient search for spiking neural networks.

Kaiwei Che, Luziwei Leng, Kaixuan Zhang, Jianguo Zhang, Qinghu Meng, Jie Cheng, Qinghai Guo, Jianxing Liao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Discrete time convolution for fast event-based stereo.

Kaixuan Zhang, Kaiwei Che, Jianguo Zhang, Jie Cheng, Ziyang Zhang, Qinghai Guo, Luziwei Leng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Replay-Oriented Gradient Projection Memory for Continual Learning in Medical Scenarios.

Kuang Shu, Heng Li, Jie Cheng, Qinghai Guo, Luziwei Leng, Jianxing Liao, Yan Hu, Jiang Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020

Solving Machine Learning Problems with Biological Principles.

Luziwei Leng

PhD thesis, 2020

2018

Generative models on accelerated neuromorphic hardware.

Ákos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann de Oliveira, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici

CoRR, 2018

2017

Spiking neurons with short-term synaptic plasticity form superior generative networks.

Luziwei Leng, Roman Martel, Oliver Breitwieser, Ilja Bytschok, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici

CoRR, 2017