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Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis
Rui Liu, Yao Hu, Jibin Wu, Ka-Chun Wong, Zhi-An Huang, Yu-An Huang, Kay Chen Tan
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Towards parameter-free attentional spiking neural networks
Pengfei Sun, Jibin Wu*, Paul Devos, Dick Botteldooren
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A fine-grained hemispheric asymmetry network for accurate and interpretable EEG-based emotion classification
Ruofan Yan, Na Lu, Yuxuan Yan, Xu Niu, Jinbin Wu*
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Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
Xingyu Wu, Sheng-Hao Wu, Jibin Wu*, Liang Feng, Kay Chen Tan
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Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate
Pengfei Sun, Jibin Wu*, Malu Zhang, Paul Devos, Dick Botteldooren
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Delay learning based on temporal coding in Spiking Neural Networks
Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren
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MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map
Yuhong Chou, Man Yao, Kexin Wang, Yuqi Pan, Rui-Jie Zhu, Jibin Wu, Yiran Zhong, Yu Qiao, Bo Xu, Guoqi Li
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Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks
Zeyang Song, Jinbin Wu*, Malu Zhang, Mike Zheng Shou, Haizhou Li
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EEG-based Auditory Attention Detection with Spiking Graph Convolutional Network
Siqi Cai, Ran Zhang, Malu Zhang, Jibin Wu, Haizhou Li
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A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
Xinyi Chen, Qu Yang, Jibin Wu*, Haizhou Li, Kay Chen Tan
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