Qinghai Guo - RankMe

65 papers A* 15B 2Misc 1Journal 41Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AllMem: A Memory-centric Recipe for Efficient Long-context Modeling. CoRR Ziming Wang, Xiang Wang, Kailong Peng, Lang Qin, Juan Gabriel Kostelec, Christos Sourmpis, Axel Laborieux, Qinghai Guo
2026	J	`jnl`	Decoupled spatial-temporal predicting model for weakly supervised action localization. Knowl. Based Syst. Guiqin Wang, Peng Zhao, Xiang Wang, Xin An, Qian Zhang, Shusen Yang, Qinghai Guo
2026	J	`jnl`	Hebbian Learning with Global Direction. CoRR Wenjia Hua, Kejie Zhao, Luziwei Leng, Ran Cheng, Yuxin Ma, Qinghai Guo
2026	J	`jnl`	Implicit hierarchical temporal-spatial residual model for long-term video prediction. Neural Networks Guiqin Wang, Peng Zhao, Haoran Guo, Yun Zheng, Cong Zhao, Qinghai Guo, Shusen Yang
2026	J	`jnl`	MAR: Efficient Large Language Models via Module-aware Architecture Refinement. CoRR Junhong Cai, Guiqin Wang, Kejie Zhao, Jianxiong Tang, Xiang Wang, Luziwei Leng, Ran Cheng, Yuxin Ma, Qinghai Guo
2026	J	`jnl`	When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models. CoRR Juan Gabriel Kostelec, Xiang Wang, Axel Laborieux, Christos Sourmpis, Qinghai Guo
2025	J	`jnl`	Accurate and Efficient Event-Based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network. IEEE Trans. Neural Networks Learn. Syst. Rui Zhang, Luziwei Leng, Kaiwei Che, Hu Zhang, Jie Cheng, Qinghai Guo, Jianxing Liao, Ran Cheng
2025	Misc	`conf`	Explicit Mutual Information Maximization for Self-Supervised Learning. ICASSP Lele Chang, Peilin Liu, Qinghai Guo, Fei Wen
2025	J	`jnl`	FlashEVA: Accelerating LLM inference via Efficient Attention. CoRR Juan Gabriel Kostelec, Qinghai Guo
2025	J	`jnl`	Spatio-Temporal Enhancement-Based Spiking Neural Network for Morphological Neuron Classification. IEEE Trans. Emerg. Top. Comput. Intell. Chunli Sun, Qinghai Guo, Luziwei Leng, Feng Wu, Feng Zhao
2025	A*	`conf`	SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models. AAAI Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng
2025	B	`conf`	Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks. IJCNN Kejie Zhao, Wenjia Hua, Aiersi Tuerhong, Luziwei Leng, Yuxin Ma, Qinghai Guo
2025	J	`jnl`	Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks. CoRR Kejie Zhao, Wenjia Hua, Aiersi Tuerhong, Luziwei Leng, Yuxin Ma, Qinghai Guo
2025	A*	`conf`	VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network. CVPR Kang You, Ziling Wei, Jing Yan, Boning Zhang, Qinghai Guo, Yaoyu Zhang, Zhezhi He
2024	J	`jnl`	Automotive Object Detection via Learning Sparse Events by Spiking Neurons. IEEE Trans. Cogn. Dev. Syst. Hu Zhang, Yanchen Li, Luziwei Leng, Kaiwei Che, Qian Liu, Qinghai Guo, Jianxing Liao, Ran Cheng
2024	—	`conf`	BKDSNN: Enhancing the Performance of Learning-Based Spiking Neural Networks Training with Blurred Knowledge Distillation. ECCV (50) Zekai Xu, Kang You, Qinghai Guo, Xiang Wang, Zhezhi He
2024	J	`jnl`	BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation. CoRR Zekai Xu, Kang You, Qinghai Guo, Xiang Wang, Zhezhi He
2024	J	`jnl`	Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI Applications. CoRR Zhou Zhou, Guohang He, Zheng Zhang, Luziwei Leng, Qinghai Guo, Jianxing Liao, Xuan Song, Ran Cheng
2024	J	`jnl`	Evolutionary Spiking Neural Networks: A Survey. CoRR Shuaijie Shen, Rui Zhang, Chao Wang, Renzhuo Huang, Aiersi Tuerhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng
2024	J	`jnl`	Evolutionary spiking neural networks: a survey. J. Membr. Comput. Shuaijie Shen, Rui Zhang, Chao Wang, Renzhuo Huang, Aiersi Tuerhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng
2024	J	`jnl`	Explicit Mutual Information Maximization for Self-Supervised Learning. CoRR Lele Chang, Peilin Liu, Qinghai Guo, Fei Wen
2024	—	`conf`	Fusion Side Tuning: A Parameter and Memory Efficient Fine-tuning Method for High-resolution Medical Image Classification. BIBM Zhangchi Wang, Yijin Huang, Yidu Wu, Pujin Cheng, Li Lin, Qinghai Guo, Xiaoying Tang
2024	J	`jnl`	Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation. CoRR Yushun Tang, Shuoshuo Chen, Zhehan Kan, Yi Zhang, Qinghai Guo, Zhihai He
2024	J	`jnl`	Learning with sparse reward in a gap junction network inspired by the insect mushroom body. PLoS Comput. Biol. Tianqi Wei, Qinghai Guo, Barbara Webb
2024	J	`jnl`	SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning. CoRR Yan Zhong, Ruoyu Zhao, Chao Wang, Qinghai Guo, Jianguo Zhang, Zhichao Lu, Luziwei Leng
2024	A*	`conf`	Sample as you Infer: Predictive Coding with Langevin Dynamics. ICML Umais Zahid, Qinghai Guo, Zafeirios Fountas
2024	A*	`conf`	SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. ICML Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He
2024	J	`jnl`	SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN. CoRR Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He
2024	J	`jnl`	SpikingMiniLM: energy-efficient spiking transformer for natural language understanding. Sci. China Inf. Sci. Jiayu Zhang, Jiangrong Shen, Zeke Wang, Qinghai Guo, Rui Yan, Gang Pan, Huajin Tang
2024	J	`jnl`	SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models. CoRR Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng
2024	J	`jnl`	When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination. CoRR Martin Benfeghoul, Umais Zahid, Qinghai Guo, Zafeirios Fountas
2023	J	`jnl`	Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network. CoRR Rui Zhang, Luziwei Leng, Kaiwei Che, Hu Zhang, Jie Cheng, Qinghai Guo, Jiangxing Liao, Ran Cheng
2023	J	`jnl`	Automotive Object Detection via Learning Sparse Events by Temporal Dynamics of Spiking Neurons. CoRR Hu Zhang, Luziwei Leng, Kaiwei Che, Qian Liu, Jie Cheng, Qinghai Guo, Jiangxing Liao, Ran Cheng
2023	B	`conf`	Cross-Inferential Networks for Source-Free Unsupervised Domain Adaptation. ICIP Yushun Tang, Qinghai Guo, Zhihai He
2023	J	`jnl`	Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation. CoRR Yushun Tang, Qinghai Guo, Zhihai He
2023	J	`jnl`	Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo. CoRR Umais Zahid, Qinghai Guo, Karl J. Friston, Zafeirios Fountas
2023	A*	`conf`	Hebbian Deep Learning Without Feedback. ICLR Adrien Journé, Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis
2023	—	`conf`	Learning Task-Specific Morphological Representation for Pyramidal Cells via Mutual Information Minimization. PRIME@MICCAI Chunli Sun, Qinghai Guo, Gang Yang, Feng Zhao
2023	A*	`conf`	Learning and processing the ordinal information of temporal sequences in recurrent neural circuits. NeurIPS Xiaolong Zou, Zhikun Chu, Qinghai Guo, Jie Cheng, Bo Ho, Si Wu, Yuanyuan Mi
2023	A*	`conf`	Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation. CVPR Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He
2023	J	`jnl`	Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation. CoRR Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He
2023	J	`jnl`	Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation. CoRR Umais Zahid, Qinghai Guo, Zafeirios Fountas
2023	J	`jnl`	Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation. Neural Comput. Umais Zahid, Qinghai Guo, Zafeirios Fountas
2023	J	`jnl`	Sample as You Infer: Predictive Coding With Langevin Dynamics. CoRR Umais Zahid, Qinghai Guo, Zafeirios Fountas
2023	A*	`conf`	Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling. ICCV Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, Qinghai Guo
2023	J	`jnl`	Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling. CoRR Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, Qinghai Guo
2022	—	`conf`	Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting. ICONS Bojian Yin, Qinghai Guo, Federico Corradi, Sander M. Bohté
2022	A*	`conf`	DevFly: Bio-Inspired Development of Binary Connections for Locality Preserving Sparse Codes. NeurIPS Tianqi Wei, Rana Alkhoury Maroun, Qinghai Guo, Barbara Webb
2022	A*	`conf`	Differentiable hierarchical and surrogate gradient search for spiking neural networks. NeurIPS Kaiwei Che, Luziwei Leng, Kaixuan Zhang, Jianguo Zhang, Qinghu Meng, Jie Cheng, Qinghai Guo, Jianxing Liao
2022	A*	`conf`	Discrete time convolution for fast event-based stereo. CVPR Kaixuan Zhang, Kaiwei Che, Jianguo Zhang, Jie Cheng, Ziyang Zhang, Qinghai Guo, Luziwei Leng
2022	J	`jnl`	Hebbian Deep Learning Without Feedback. CoRR Adrien Journé, Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis
2022	J	`jnl`	Long-horizon video prediction using a dynamic latent hierarchy. CoRR Alexey Zakharov, Qinghai Guo, Zafeirios Fountas
2022	J	`jnl`	Modelling non-reinforced preferences using selective attention. CoRR Noor Sajid, Panagiotis Tigas, Zafeirios Fountas, Qinghai Guo, Alexey Zakharov, Lancelot Da Costa
2022	—	`conf`	Replay-Oriented Gradient Projection Memory for Continual Learning in Medical Scenarios. BIBM Kuang Shu, Heng Li, Jie Cheng, Qinghai Guo, Luziwei Leng, Jianxing Liao, Yan Hu, Jiang Liu
2022	A*	`conf`	Self-Supervised Learning Through Efference Copies. NeurIPS Franz Scherr, Qinghai Guo, Timoleon Moraitis
2022	J	`jnl`	Self-Supervised Learning Through Efference Copies. CoRR Franz Scherr, Qinghai Guo, Timoleon Moraitis
2022	A*	`conf`	Short-Term Plasticity Neurons Learning to Learn and Forget. ICML Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis
2022	J	`jnl`	Short-Term Plasticity Neurons Learning to Learn and Forget. CoRR Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis
2022	J	`jnl`	SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. Neuromorph. Comput. Eng. Timoleon Moraitis, Dmitry Toichkin, Adrien Journé, Yansong Chua, Qinghai Guo
2022	A*	`conf`	Spike-inspired rank coding for fast and accurate recurrent neural networks. ICLR Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis
2022	A*	`conf`	Variational Predictive Routing with Nested Subjective Timescales. ICLR Alexey Zakharov, Qinghai Guo, Zafeirios Fountas
2021	J	`jnl`	SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. CoRR Timoleon Moraitis, Dmitry Toichkin, Yansong Chua, Qinghai Guo
2021	J	`jnl`	Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks. CoRR Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis
2021	J	`jnl`	Variational Predictive Routing with Nested Subjective Timescales. CoRR Alexey Zakharov, Qinghai Guo, Zafeirios Fountas
2010	—	`conf`	The application of spatial Lorenz curve (SLC) and Gini coefficient in measuring land use structure change. Geoinformatics Yu Song, Quanyi Qiu, Qinghai Guo, Jianyi Lin, Fangyi Li, Yuxian Yu, Xuanqi Li, Lina Tang