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2020 – today
- 2024
[c6]Yanchen Li
, Jiachun Li, Kebin Sun, Luziwei Leng, Ran Cheng:
Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. ICANN (4) 2024: 58-73- [i11]Zhou Zhou, Guohang He, Zheng Zhang, Luziwei Leng, Qinghai Guo, Jianxing Liao, Xuan Song, Ran Cheng:
Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI Applications. CoRR abs/2406.06626 (2024) - [i10]Shuaijie Shen, Rui Zhang, Chao Wang, Renzhuo Huang, Aiersi Tuerhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng:
Evolutionary Spiking Neural Networks: A Survey. CoRR abs/2406.12552 (2024) - [i9]Yanchen Li, Jiachun Li, Kebin Sun, Luziwei Leng, Ran Cheng:
Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. CoRR abs/2408.00280 (2024) - [i8]Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng:
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models. CoRR abs/2408.14909 (2024) - 2023
- [c5]Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He:
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation. CVPR 2023: 3728-3738 - [c4]Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, Qinghai Guo:
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling. ICCV 2023: 10169-10179 - [i7]Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He:
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation. CoRR abs/2303.00914 (2023) - [i6]Rui Zhang, Luziwei Leng, Kaiwei Che, Hu Zhang, Jie Cheng, Qinghai Guo, Jiangxing Liao, Ran Cheng:
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network. CoRR abs/2304.11857 (2023) - [i5]Boyan Li, Luziwei Leng, Ran Cheng, Shuaijie Shen, Kaixuan Zhang, Jianguo Zhang, Jianxing Liao:
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference. CoRR abs/2306.12465 (2023) - [i4]Hu Zhang, Luziwei Leng, Kaiwei Che, Qian Liu, Jie Cheng, Qinghai Guo, Jiangxing Liao, Ran Cheng:
Automotive Object Detection via Learning Sparse Events by Temporal Dynamics of Spiking Neurons. CoRR abs/2307.12900 (2023) - [i3]Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, Qinghai Guo:
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling. CoRR abs/2308.09946 (2023) - 2022
- [j1]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:
Cortical oscillations support sampling-based computations in spiking neural networks. PLoS Comput. Biol. 18(3) (2022) - [c3]Kuang Shu, Heng Li, Jie Cheng, Qinghai Guo, Luziwei Leng, Jianxing Liao, Yan Hu, Jiang Liu:
Replay-Oriented Gradient Projection Memory for Continual Learning in Medical Scenarios. BIBM 2022: 1724-1729 - [c2]Kaixuan Zhang, Kaiwei Che, Jianguo Zhang, Jie Cheng, Ziyang Zhang, Qinghai Guo, Luziwei Leng:
Discrete time convolution for fast event-based stereo. CVPR 2022: 8666-8676 - [c1]Kaiwei Che, Luziwei Leng, Kaixuan Zhang, Jianguo Zhang, Qinghu Meng, Jie Cheng, Qinghai Guo, Jianxing Liao:
Differentiable hierarchical and surrogate gradient search for spiking neural networks. NeurIPS 2022 - 2020
- [b1]Luziwei Leng:
Solving Machine Learning Problems with Biological Principles. University of Heidelberg, Germany, 2020
2010 – 2019
- 2018
- [i2]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:
Generative models on accelerated neuromorphic hardware. CoRR abs/1807.02389 (2018) - 2017
- [i1]Luziwei Leng, Roman Martel, Oliver Breitwieser, Ilja Bytschok, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Spiking neurons with short-term synaptic plasticity form superior generative networks. CoRR abs/1709.08166 (2017)
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