Qinghai Guo

According to our database, Qinghai Guo authored at least 41 papers between 2010 and 2025.

Collaborative distances:

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

2025

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, Jianxing Liao, Ran Cheng

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks.

Kejie Zhao, Wenjia Hua, Aiersi Tuerhong, Luziwei Leng, Yuxin Ma, Qinghai Guo

CoRR, May, 2025

Explicit Mutual Information Maximization for Self-Supervised Learning.

Lele Chang, Peilin Liu, Qinghai Guo, Fei Wen

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network.

Kang You, Ziling Wei, Jing Yan, Boning Zhang, Qinghai Guo, Yaoyu Zhang, Zhezhi He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Automotive Object Detection via Learning Sparse Events by Spiking Neurons.

Hu Zhang, Yanchen Li, Luziwei Leng, Kaiwei Che, Qian Liu, Qinghai Guo, Jianxing Liao, Ran Cheng

IEEE Trans. Cogn. Dev. Syst., December, 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

J. Membr. Comput., December, 2024

Learning with sparse reward in a gap junction network inspired by the insect mushroom body.

Tianqi Wei, Qinghai Guo, Barbara Webb

PLoS Comput. Biol., 2024

SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning.

Yan Zhong, Ruoyu Zhao, Chao Wang, Qinghai Guo, Jianguo Zhang, Zhichao Lu, Luziwei Leng

CoRR, 2024

Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation.

Yushun Tang, Shuoshuo Chen, Zhehan Kan, Yi Zhang, Qinghai Guo, Zhihai He

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

When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination.

Martin Benfeghoul, Umais Zahid, Qinghai Guo, Zafeirios Fountas

CoRR, 2024

SpikingMiniLM: energy-efficient spiking transformer for natural language understanding.

Jiayu Zhang, Jiangrong Shen, Zeke Wang, Qinghai Guo, Rui Yan, Gang Pan, Huajin Tang

Sci. China Inf. Sci., 2024

Sample as you Infer: Predictive Coding with Langevin Dynamics.

Umais Zahid, Qinghai Guo, Zafeirios Fountas

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN.

Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He

Proceedings of the Forty-first International Conference on Machine Learning, 2024

BKDSNN: Enhancing the Performance of Learning-Based Spiking Neural Networks Training with Blurred Knowledge Distillation.

Zekai Xu, Kang You, Qinghai Guo, Xiang Wang, Zhezhi He

Proceedings of the Computer Vision - ECCV 2024, 2024

Fusion Side Tuning: A Parameter and Memory Efficient Fine-tuning Method for High-resolution Medical Image Classification.

Zhangchi Wang, Yijin Huang, Yidu Wu, Pujin Cheng, Li Lin, Qinghai Guo, Xiaoying Tang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation.

Umais Zahid, Qinghai Guo, Zafeirios Fountas

Neural Comput., December, 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

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

Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo.

Umais Zahid, Qinghai Guo, Karl J. Friston, Zafeirios Fountas

CoRR, 2023

Learning and processing the ordinal information of temporal sequences in recurrent neural circuits.

Xiaolong Zou, Zhikun Chu, Qinghai Guo, Jie Cheng, Bo Ho, Si Wu, Yuanyuan Mi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Task-Specific Morphological Representation for Pyramidal Cells via Mutual Information Minimization.

Chunli Sun, Qinghai Guo, Gang Yang, Feng Zhao

Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Hebbian Deep Learning Without Feedback.

Adrien Journé, Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cross-Inferential Networks for Source-Free Unsupervised Domain Adaptation.

Yushun Tang, Qinghai Guo, Zhihai He

Proceedings of the IEEE International Conference on Image Processing, 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

SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks.

Timoleon Moraitis, Dmitry Toichkin, Adrien Journé, Yansong Chua, Qinghai Guo

Neuromorph. Comput. Eng., December, 2022

Long-horizon video prediction using a dynamic latent hierarchy.

Alexey Zakharov, Qinghai Guo, Zafeirios Fountas

CoRR, 2022

Modelling non-reinforced preferences using selective attention.

Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa

CoRR, 2022

DevFly: Bio-Inspired Development of Binary Connections for Locality Preserving Sparse Codes.

Tianqi Wei, Rana Alkhoury Maroun, Qinghai Guo, Barbara Webb

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

Self-Supervised Learning Through Efference Copies.

Franz Scherr, Qinghai Guo, Timoleon Moraitis

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

Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting.

Bojian Yin, Qinghai Guo, Federico Corradi, Sander M. Bohté

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Short-Term Plasticity Neurons Learning to Learn and Forget.

Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis

Proceedings of the International Conference on Machine Learning, 2022

Variational Predictive Routing with Nested Subjective Timescales.

Alexey Zakharov, Qinghai Guo, Zafeirios Fountas

Proceedings of the Tenth International Conference on Learning Representations, 2022

Spike-inspired rank coding for fast and accurate recurrent neural networks.

Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis

Proceedings of the Tenth International Conference on Learning Representations, 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

2021

SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks.

Timoleon Moraitis, Dmitry Toichkin, Yansong Chua, Qinghai Guo

CoRR, 2021

2010

The application of spatial Lorenz curve (SLC) and Gini coefficient in measuring land use structure change.

Yu Song, Quanyi Qiu, Qinghai Guo, Jianyi Lin, Fangyi Li, Yuxian Yu, Xuanqi Li, Lina Tang

Proceedings of the 18th International Conference on Geoinformatics: GIScience in Change, 2010