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Qinghai Guo
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2020 – today
- 2024
- [j4]Shuaijie Shen, Rui Zhang, Chao Wang, Renzhuo Huang, Aiersi Tuerhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng:
Evolutionary spiking neural networks: a survey. J. Membr. Comput. 6(4): 335-346 (2024) - [j3]Tianqi Wei, Qinghai Guo, Barbara Webb
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Learning with sparse reward in a gap junction network inspired by the insect mushroom body. PLoS Comput. Biol. 20(5): 1012086 (2024) - [c19]Zekai Xu, Kang You, Qinghai Guo, Xiang Wang, Zhezhi He
BKDSNN: Enhancing the Performance of Learning-Based Spiking Neural Networks Training with Blurred Knowledge Distillation. ECCV (50) 2024: 106-123 - [c18]Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He:
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. ICML 2024 - [c17]Umais Zahid, Qinghai Guo, Zafeirios Fountas:
Sample as you Infer: Predictive Coding with Langevin Dynamics. ICML 2024 - [i25]Martin Benfeghoul, Umais Zahid, Qinghai Guo, Zafeirios Fountas:
When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination. CoRR abs/2402.15283 (2024) - [i24]Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He:
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. CoRR abs/2406.03470 (2024) - [i23]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) - [i22]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) - [i21]Yushun Tang, Shuoshuo Chen, Zhehan Kan, Yi Zhang, Qinghai Guo, Zhihai He:
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation. CoRR abs/2406.19341 (2024) - [i20]Zekai Xu, Kang You, Qinghai Guo, Xiang Wang, Zhezhi He:
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation. CoRR abs/2407.09083 (2024) - [i19]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) - [i18]Lele Chang, Peilin Liu, Qinghai Guo, Fei Wen:
Explicit Mutual Information Maximization for Self-Supervised Learning. CoRR abs/2409.04747 (2024) - [i17]Yan Zhong, Ruoyu Zhao, Chao Wang, Qinghai Guo, Jianguo Zhang, Zhichao Lu, Luziwei Leng:
SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning. CoRR abs/2410.17268 (2024) - 2023
- [j2]Umais Zahid, Qinghai Guo, Zafeirios Fountas:
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation. Neural Comput. 35(12): 1881-1909 (2023) - [c16]Yushun Tang, Ce Zhang
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation. CVPR 2023: 3728-3738 - [c15]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 - [c14]Yushun Tang, Qinghai Guo, Zhihai He:
Cross-Inferential Networks for Source-Free Unsupervised Domain Adaptation. ICIP 2023: 96-100 - [c13]Adrien Journé, Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis:
Hebbian Deep Learning Without Feedback. ICLR 2023 - [c12]Chunli Sun, Qinghai Guo, Gang Yang, Feng Zhao:
Learning Task-Specific Morphological Representation for Pyramidal Cells via Mutual Information Minimization. PRIME@MICCAI 2023: 134-145 - [c11]Xiaolong Zou, Zhikun Chu, Qinghai Guo, Jie Cheng, Bo Ho, Si Wu, Yuanyuan Mi:
Learning and processing the ordinal information of temporal sequences in recurrent neural circuits. NeurIPS 2023 - [i16]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) - [i15]Umais Zahid, Qinghai Guo, Karl J. Friston, Zafeirios Fountas:
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo. CoRR abs/2303.04976 (2023) - [i14]Umais Zahid, Qinghai Guo, Zafeirios Fountas:
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation. CoRR abs/2304.02658 (2023) - [i13]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) - [i12]Yushun Tang, Qinghai Guo, Zhihai He:
Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation. CoRR abs/2306.16957 (2023) - [i11]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) - [i10]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) - [i9]Umais Zahid, Qinghai Guo, Zafeirios Fountas:
Sample as You Infer: Predictive Coding With Langevin Dynamics. CoRR abs/2311.13664 (2023) - 2022
- [j1]Timoleon Moraitis
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. Neuromorph. Comput. Eng. 2(4): 44017 (2022) - [c10]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 - [c9]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 - [c8]Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis:
Spike-inspired rank coding for fast and accurate recurrent neural networks. ICLR 2022 - [c7]Alexey Zakharov, Qinghai Guo, Zafeirios Fountas:
Variational Predictive Routing with Nested Subjective Timescales. ICLR 2022 - [c6]Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis:
Short-Term Plasticity Neurons Learning to Learn and Forget. ICML 2022: 18704-18722 - [c5]Bojian Yin
Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting. ICONS 2022: 5:1-5:8 - [c4]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 - [c3]Franz Scherr, Qinghai Guo, Timoleon Moraitis:
Self-Supervised Learning Through Efference Copies. NeurIPS 2022 - [c2]Tianqi Wei, Rana Alkhoury Maroun, Qinghai Guo, Barbara Webb:
DevFly: Bio-Inspired Development of Binary Connections for Locality Preserving Sparse Codes. NeurIPS 2022 - [i8]Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis:
Short-Term Plasticity Neurons Learning to Learn and Forget. CoRR abs/2206.14048 (2022) - [i7]Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa:
Modelling non-reinforced preferences using selective attention. CoRR abs/2207.13699 (2022) - [i6]Adrien Journé, Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis:
Hebbian Deep Learning Without Feedback. CoRR abs/2209.11883 (2022) - [i5]Franz Scherr, Qinghai Guo, Timoleon Moraitis:
Self-Supervised Learning Through Efference Copies. CoRR abs/2210.09224 (2022) - [i4]Alexey Zakharov, Qinghai Guo, Zafeirios Fountas:
Long-horizon video prediction using a dynamic latent hierarchy. CoRR abs/2212.14376 (2022) - 2021
- [i3]Timoleon Moraitis, Dmitry Toichkin, Yansong Chua, Qinghai Guo:
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. CoRR abs/2107.05747 (2021) - [i2]Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis:
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks. CoRR abs/2110.02865 (2021) - [i1]Alexey Zakharov, Qinghai Guo, Zafeirios Fountas:
Variational Predictive Routing with Nested Subjective Timescales. CoRR abs/2110.11236 (2021)
2010 – 2019
- 2010
- [c1]Yu Song, Quanyi Qiu, Qinghai Guo, Jianyi Lin, Fangyi Li, Yuxian Yu, Xuanqi Li, Lina Tang
The application of spatial Lorenz curve (SLC) and Gini coefficient in measuring land use structure change. Geoinformatics 2010: 1-5
Coauthor Index
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last updated on 2024-12-11 20:46 CET by the dblp team
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