Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit Encoding. - Shiming Song 001; Chenxiang Ma; Qiang Yu 005 (ICONIP (3), 2020)

AugMapping: Accurate and Efficient Inference with Deep Double-Threshold Spiking Neural Networks. - Chenxiang Ma; Qiang Yu 005 (SSCI, 2020)

A Deep Spike Learning through Critical Time Points. - Chenxiang Ma; Junhai Xu; Qiang Yu 005 (IJCNN, 2021)

Temporal Dependent Local Learning for Deep Spiking Neural Networks. - Chenxiang Ma; Junhai Xu; Qiang Yu 005 (IJCNN, 2021)

Efficient learning with augmented spikes: A case study with image classification. - Shiming Song 001; Chenxiang Ma; Wei Sun; Junhai Xu; Jianwu Dang 001; Qiang Yu 005 (Neural Networks, 2021)

Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes. - Qiang Yu 005; Chenxiang Ma; Shiming Song 001; Gaoyan Zhang; Jianwu Dang 001; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2022)

Synaptic Learning With Augmented Spikes. - Qiang Yu 005; Shiming Song 001; Chenxiang Ma; Linqiang Pan; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2022)

Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns. - Qiang Yu 005; Shiming Song 001; Chenxiang Ma; Jianguo Wei; Shengyong Chen; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2022)

Long Short-term Memory with Two-Compartment Spiking Neuron. - Shimin Zhang; Qu Yang; Chenxiang Ma; Jibin Wu; Haizhou Li 001; Kay Chen Tan (CoRR, 2023)

Deep Spike Learning With Local Classifiers. - Chenxiang Ma; Rui Yan 005; Zhaofei Yu; Qiang Yu 005 (IEEE Trans. Cybern., 2023)

TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. - Shimin Zhang; Qu Yang; Chenxiang Ma; Jibin Wu; Haizhou Li 001; Kay Chen Tan (AAAI, 2024)

Scaling Supervised Local Learning with Augmented Auxiliary Networks. - Chenxiang Ma; Jibin Wu; Chenyang Si; Kay Chen Tan (ICLR, 2024)

Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. - Yujia Yin; Xinyi Chen; Chenxiang Ma; Jibin Wu; Kay Chen Tan (IJCNN, 2024)

PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing. - Xinyi Chen; Jibin Wu; Chenxiang Ma; Yinsong Yan; Yujie Wu 002; Kay Chen Tan (CoRR, 2024)

Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet. - Xiang Hao; Chenxiang Ma; Qu Yang; Jibin Wu; Kay Chen Tan (CoRR, 2024)

Memory Offloading for Large Language Model Inference with Latency SLO Guarantees. - Chenxiang Ma; Zhisheng Ye 002; Hanyu Zhao; Zehua Yang; Tianhao Fu; Jiaxun Han; Jie Zhang 048; Yingwei Luo; Xiaolin Wang 001; Zhenlin Wang; Yong Li; Diyu Zhou (CoRR, 2025)

Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects. - Chenxiang Ma; Xinyi Chen; Yanchen Li; Qu Yang; Yujie Wu 002; Guoqi Li; Gang Pan 001; Huajin Tang; Kay Chen Tan; Jibin Wu (CoRR, 2025)

Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. - Xinyi Chen; Chenxiang Ma; Yujie Wu 002; Kay Chen Tan; Jibin Wu (CoRR, 2025)

Spatio-Temporal Decoupled Learning for Spiking Neural Networks. - Chenxiang Ma; Xinyi Chen; Kay Chen Tan; Jibin Wu (CoRR, 2025)

A Geometric Deep Learning Approach to Traffic Flow Shockwave Prediction on Freeways Using Vehicle Trajectory Data and HD Map. - Chengcheng Xu 001; Yongcheng Shao; Chenxiang Ma; Mingmin Han; Hao Tong; Chang Peng (IEEE Trans. Intell. Transp. Syst., 2025)