paper-conference

Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation

Xingyu Wu, Yan Zhong, Jibin Wu*, Bingbing Jiang, Kay Chen Tan

Scaling Supervised Local Learning with Augmented Auxiliary Networks

Chenxiang Ma, Jibin Wu*, Chenyang Si, KC Tan

Efficient Online Learning for Networks of Two-Compartment Spiking Neurons

Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu*, Kay Chen Tan

Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting

Shuai Wang, Dehao Zhang, kexin Shi, Yuchen Wang, Wenjie Wei, Jibin Wu, Malu Zhang

Mixed prototype Correction for Causal Inference in Medical Image Classification

Yajie Zhang, Zhi-An Huang, Zhiliang Hong, Songsong Wu, Jibin Wu, Kay Chen Tan

Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks

Z. Song, J. Wu*, M. Zhang, M. Z. Shou, H. Li

TC-LIF: A Two-Compartment Spiking Neuron Model for Long-term Sequential Modelling

Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu*, Haizhou Li, Kay Chen Tan

A hybrid learning framework for deep spiking neural networks with one-spike temporal coding

Jiadong Wang, Jibin Wu*, Malu Zhang, Qi Liu, Haizhou Li

Rethinking Benchmarks for Neuromorphic Learning Algorithms

Qu Yang, Jibin Wu, Haizhou Li

Deep convolutional spiking neural networks for keyword spotting

Emre Yılmaz, Ozgür Bora Gevrek, Jibin Wu, Yuxiang Chen, Xuanbo Meng, Haizhou Li