| 2026 | AAAI | HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference. | Hanwen Liu, Kexin Shi, Jieyuan Zhang, Yimeng Shan, Jibin Wu, Wenyu Chen, Malu Zhang |
| 2025 | ICML | Towards Robustness and Explainability of Automatic Algorithm Selection. | Xingyu Wu, Jibin Wu, Yu Zhou, Liang Feng, KC Tan |
| 2025 | ICML | KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling. | Shimin Zhang, Ziyuan Ye, Yinsong Yan, Zeyang Song, Yujie Wu, Jibin Wu |
| 2025 | IJCAI | Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. | Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu |
| 2025 | IJCAI | MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion. | Wei Hua, Chenlin Zhou, Jibin Wu, Yansong Chua, Yangyang Shu |
| 2024 | AAAI | 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 |
| 2024 | ICASSP | Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks. | Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li |
| 2024 | ICLR | Scaling Supervised Local Learning with Augmented Auxiliary Networks. | Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan |
| 2024 | IJCAI | Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. | Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan |
| 2024 | IJCNN | Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. | Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan |
| 2024 | Interspeech | 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 |
| 2022 | ICASSP | A Hybrid Learning Framework for Deep Spiking Neural Networks with One-Spike Temporal Coding. | Jiadong Wang, Jibin Wu, Malu Zhang, Qi Liu, Haizhou Li |
| 2021 | IJCNN | Rethinking Benchmarks for Neuromorphic Learning Algorithms. | Qu Yang, Jibin Wu, Haizhou Li |
| 2020 | Interspeech | Deep Convolutional Spiking Neural Networks for Keyword Spotting. | Emre Yilmaz, zgr Bora Gevrek, Jibin Wu, Yuxiang Chen, Xuanbo Meng, Haizhou Li |
| 2019 | AAAI | MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons. | Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li |
| 2019 | CEC | Inverted-file R-tree Index Nodes Clustering Based on Multi-objective Optimization. | Wubin Ma, Rui Wang, Weichao Wang, Su Deng, Hongbin Huang, Tao Zhang, Jibin Wu |
| 2019 | IJCNN | Neural Population Coding for Effective Temporal Classification. | Zihan Pan, Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua |
| 2019 | IJCNN | Deep Spiking Neural Network with Spike Count based Learning Rule. | Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li |
| 2019 | IJCNN | Competitive STDP-based Feature Representation Learning for Sound Event Classification. | Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua |
| 2019 | Interspeech | Robust Sound Recognition: A Neuromorphic Approach. | Jibin Wu, Zihan Pan, Malu Zhang, Rohan Kumar Das, Yansong Chua, Haizhou Li |
| 2018 | IJCNN | An Event-Based Cochlear Filter Temporal Encoding Scheme for Speech Signals. | Zihan Pan, Haizhou Li, Jibin Wu, Yansong Chua |
| 2018 | IJCNN | A Biologically Plausible Speech Recognition Framework Based on Spiking Neural Networks. | Jibin Wu, Yansong Chua, Haizhou Li |