Qinghai Guo

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 39

Top Topics

Predictive Coding

Hierarchically Structured

Spiking Neural Networks

Top Venues

Publications

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 (2024)
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 (2024)
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 (2024)
Martin Benfeghoul, Umais Zahid, Qinghai Guo, Zafeirios Fountas
When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination. CoRR (2024)
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 (2024)
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 (2024)
Umais Zahid, Qinghai Guo, Zafeirios Fountas
Sample as You Infer: Predictive Coding With Langevin Dynamics. CoRR (2023)
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)
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 (2023)
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 (2023)
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)
Umais Zahid, Qinghai Guo, Zafeirios Fountas
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation. CoRR (2023)
Yushun Tang, Qinghai Guo, Zhihai He
Cross-Inferential Networks for Source-Free Unsupervised Domain Adaptation. ICIP (2023)
Umais Zahid, Qinghai Guo, Zafeirios Fountas
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation. Neural Comput. 35 (12) (2023)
Chunli Sun, Qinghai Guo, Gang Yang, Feng Zhao
Learning Task-Specific Morphological Representation for Pyramidal Cells via Mutual Information Minimization. PRIME@MICCAI (2023)
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 (2023)
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 (2023)
Umais Zahid, Qinghai Guo, Karl J. Friston, Zafeirios Fountas
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo. CoRR (2023)
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)
Adrien Journé, Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis
Hebbian Deep Learning Without Feedback. ICLR (2023)
Yushun Tang, Qinghai Guo, Zhihai He
Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation. CoRR (2023)
Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis
Short-Term Plasticity Neurons Learning to Learn and Forget. ICML (2022)
Bojian Yin, Qinghai Guo, Federico Corradi, Sander M. Bohté
Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting. ICONS (2022)
Adrien Journé, Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis
Hebbian Deep Learning Without Feedback. CoRR (2022)
Tianqi Wei, Rana Alkhoury Maroun, Qinghai Guo, Barbara Webb
DevFly: Bio-Inspired Development of Binary Connections for Locality Preserving Sparse Codes. NeurIPS (2022)
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)
Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa
Modelling non-reinforced preferences using selective attention. CoRR (2022)
Kaixuan Zhang, Kaiwei Che, Jianguo Zhang, Jie Cheng, Ziyang Zhang, Qinghai Guo, Luziwei Leng
Discrete time convolution for fast event-based stereo. CVPR (2022)
Alexey Zakharov, Qinghai Guo, Zafeirios Fountas
Variational Predictive Routing with Nested Subjective Timescales. ICLR (2022)
Alexey Zakharov, Qinghai Guo, Zafeirios Fountas
Long-horizon video prediction using a dynamic latent hierarchy. CoRR (2022)
Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis
Spike-inspired rank coding for fast and accurate recurrent neural networks. ICLR (2022)
Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis
Short-Term Plasticity Neurons Learning to Learn and Forget. CoRR (2022)
Franz Scherr, Qinghai Guo, Timoleon Moraitis
Self-Supervised Learning Through Efference Copies. CoRR (2022)
Timoleon Moraitis, Dmitry Toichkin, Adrien Journé, Yansong Chua, Qinghai Guo
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. Neuromorph. Comput. Eng. 2 (4) (2022)
Franz Scherr, Qinghai Guo, Timoleon Moraitis
Self-Supervised Learning Through Efference Copies. NeurIPS (2022)
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)
Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks. CoRR (2021)
Timoleon Moraitis, Dmitry Toichkin, Yansong Chua, Qinghai Guo
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. CoRR (2021)
Alexey Zakharov, Qinghai Guo, Zafeirios Fountas
Variational Predictive Routing with Nested Subjective Timescales. CoRR (2021)
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)