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KoopSTD: Faithful Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling
Shimin Zhang, Ziyuan Ye, Yinsong Yan, Zeyang Song, Yujie Wu, Jibin Wu*
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Towards Robustness and Explainability of Automatic Algorithm Selection
Xingyu Wu, Jibin Wu*, Yu Zhou, Liang Feng, Kay Chen Tan
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MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion
Wei Hua, Yangyang Shu, Chenlin Zhou, Jibin Wu, Yansong Chua
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Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing
Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu*
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Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet
Xiang Hao, Chenxiang Ma, Qu Yang, Jibin Wu*, Kay Chen Tan
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Autonomous Multi-Objective Optimization Using Large Language Model
Yuxiao Huang, Shenghao Wu, Jibin Wu, Liang Feng, Kay Chen Tan
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Toward Building Human-Like Sequential Memory Using Brain-Inspired Spiking Neural Models
Malu Zhang, Xiaoling Luo, Jibin Wu*, Ammar Belatreche, Siqi Cai, Yang Yang, Haizhou Li
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Toward Energy-Efficient Spike-Based Deep Reinforcement Learning With Temporal Coding
Malu Zhang, Shuai Wang, Jibin Wu*, Wenjie Wei, Dehao Zhang, Zijian Zhou, Siying Wang, Fan Zhang, Yang Yang
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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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